시장보고서
상품코드
1551535

머신러닝(ML) 시장

Machine Learning (ML)

발행일: | 리서치사: Market Glass, Inc. (Formerly Global Industry Analysts, Inc.) | 페이지 정보: 영문 380 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    



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머신러닝(ML) 세계 시장, 2030년까지 3,409억 달러 규모에 달할 것으로 전망

2023년 505억 달러로 추정되는 머신러닝(ML) 세계 시장은 2023년부터 2030년까지 연평균 31.4% 성장하여 2030년에는 3,409억 달러에 달할 것으로 예상됩니다. 이 보고서에서 분석한 부문 중 하나인 서비스 컴포넌트 부문은 CAGR 33.7%를 기록하여 분석 기간 동안 2,021억 달러에 이를 것으로 예상됩니다. 소프트웨어 컴포넌트 부문은 분석 기간 동안 CAGR 29.8%의 성장률을 나타낼 것으로 추정됩니다.

미국 시장 규모는 약 138억 달러, 중국은 연평균 41.8% 성장할 것으로 전망

미국의 머신러닝(ML) 시장 규모는 2023년 138억 달러로 추정됩니다. 세계 2위의 경제 대국인 중국은 2030년까지 978억 달러 규모에 도달할 것으로 예상되며, 2023-2030년의 분석 기간 동안 41.8%의 연평균 복합 성장률(CAGR)을 나타낼 것으로 예상됩니다. 다른 주목할 만한 지역 시장으로는 일본과 캐나다가 있으며, 분석 기간 동안 각각 24.4%와 27.9%의 연평균 복합 성장률(CAGR)을 나타낼 것으로 예상됩니다. 유럽에서는 독일이 26.0%의 연평균 복합 성장률(CAGR)로 성장할 것으로 예상됩니다.

세계 머신러닝(ML) 시장 - 주요 동향 및 촉진요인 요약

머신러닝(ML)이 산업을 변화시키는 이유는 무엇일까?

머신러닝(ML)은 컴퓨터가 데이터로부터 학습하고 인간의 개입을 최소화하여 의사결정을 내리는 기술 혁신의 최전선에 있으며, ML 알고리즘은 방대한 양의 데이터를 분석하고, 패턴을 식별하고, 예측하며, 명시적으로 프로그래밍하지 않고도 시간이 지남에 따라 개선됩니다, 시간이 지남에 따라 개선해 나갑니다. 복잡한 데이터 세트를 대규모로 처리하고 분석할 수 있는 능력은 의료 및 금융에서 소매 및 제조에 이르기까지 다양한 분야에서 ML의 채택을 촉진하고 있습니다. 의료 분야에서는 ML이 질병 진단, 환자 예후 예측, 개인화된 치료 계획 수립에 활용되고 있습니다. 금융 분야에서는 ML이 사기 탐지, 알고리즘 트레이딩, 리스크 관리 등에 활용되고 있습니다. 소매업에서는 공급망 최적화, 수요 예측, 개인화된 추천을 통한 고객 경험 향상에 ML이 활용되고 있습니다. 기업이 데이터를 활용하여 경쟁 우위를 확보하기 위해 노력하는 가운데, ML의 혁신적 힘은 산업을 막론하고 점점 더 분명해지고 있습니다.

기술의 발전은 어떻게 머신러닝을 가속화하고 있는가?

기술의 급속한 발전은 머신러닝의 능력과 채택을 크게 가속화하고 있습니다. 더 강력하고 효율적인 프로세서, 특히 GPU와 특수 AI 칩의 개발로 ML 모델의 더 빠르고 효율적인 학습이 가능해져 실시간 데이터 분석과 의사결정이 가능해졌습니다. 클라우드 컴퓨팅의 부상도 ML 알고리즘의 계산 요구에 대응할 수 있는 확장 가능하고 접근 가능한 컴퓨팅 리소스를 제공함으로써 중요한 역할을 하고 있습니다. 또한, 빅데이터 기술의 통합으로 ML 모델 학습에 사용할 수 있는 데이터의 양이 늘어나면서 ML 모델의 정확도와 견고성이 향상되었습니다. 딥러닝과 강화학습과 같은 알고리즘과 프레임워크의 지속적인 발전은 ML이 달성할 수 있는 한계를 뛰어넘어 더욱 복잡하고 정교한 용도를 가능하게 하고 있습니다. 이러한 기술 혁신은 ML 시스템의 성능을 향상시킬 뿐만 아니라 더 광범위한 산업과 비즈니스에 대한 접근을 가능하게 하고 있습니다.

머신러닝 도입을 주도하고 있는 분야는?

머신러닝 도입은 의사결정과 혁신을 추진하기 위해 대량의 데이터를 생성하고 이에 의존하는 부서가 주도하고 있습니다. 기술 부문은 검색 엔진 및 소셜 미디어 알고리즘에서 사이버 보안 및 자율 시스템에 이르기까지 다양한 용도의 원동력으로 ML을 사용하고 있으며, 주요 채택자 중 하나입니다. 헬스케어 업계도 ML을 적극적으로 도입해 의료 영상 분석, 질병 발생 예측, 개인 맞춤형 의료 개발 등에 활용하고 있습니다. 금융 서비스 분야에서는 부정행위 탐지, 신용 점수, 자동 거래 시스템에 ML이 활용되고 있습니다. 소매 업계에서는 재고관리 최적화, 마케팅 활동의 개인화, 고객 서비스 강화에 ML이 활용되고 있습니다. 제조업에서도 ML은 예지보전, 품질관리, 공급망 최적화를 위해 도입되고 있습니다. 이러한 모든 분야에서 ML의 데이터 분석 및 의사결정 프로세스 자동화 기능은 기업이 효율성을 높이고 비용을 절감하며 혁신을 추구함에 따라 널리 채택되고 있습니다.

머신러닝 시장 성장의 원동력은 무엇일까?

머신러닝(ML) 시장의 성장은 업계 전반에서 데이터 기반 통찰력과 자동화에 대한 수요 증가를 반영하는 몇 가지 요인에 의해 주도되고 있습니다. 기업과 소비자가 생성하는 데이터의 급격한 증가가 주요 동인이며, ML은 이러한 데이터를 분석하고 의미를 파악하여 보다 현명한 의사결정을 내릴 수 있는 도구를 제공하며, AI의 부상과 복잡한 작업을 자동화할 수 있는 지능형 시스템에 대한 필요성이 대두되고 있으며, ML 솔루션에 대한 수요를 촉진하고 있습니다. 또한, 클라우드 기반 ML 서비스 및 플랫폼의 등장으로 기업의 진입장벽이 낮아지면서 더 많은 조직이 ML을 업무에 통합할 수 있게 되었습니다. 컴퓨팅 성능의 지속적인 발전, 특히 AI에 특화된 하드웨어의 개발은 ML 모델의 성능과 효율성을 향상시키고, 보다 까다로운 실시간 용도에 대한 ML 모델의 채택을 촉진하고 있습니다. 또한, 소매, 금융, 헬스케어 등의 산업에서 개인화 및 고객 중심주의에 대한 관심이 높아지면서 기업은 맞춤형 경험과 서비스를 제공하기 위해 ML을 채택하고 있습니다. 이러한 요인들이 결합되어 ML 시장은 ML을 활용하여 경쟁력을 확보하고 혁신을 추진하는 데 있어 ML의 가치를 모든 산업 분야의 기업들이 인식하고 있기 때문에 큰 성장을 향해 나아가고 있습니다.

조사 대상 기업 예시(총 35건)

  • Altair Engineering Inc.
  • Alteryx, Inc.
  • Amazon Web Services, Inc.
  • BigML, Inc.
  • Cisco Systems, Inc.
  • Databricks Inc.
  • FICO
  • H2o.AI
  • Iflowsoft Solutions Inc.
  • Intel Corporation
  • KNIME AG
  • Netguru S.A
  • Oracle Corporation
  • SAS Institute Inc.
  • Yottamine Analytics;

    목차

    제1장 조사 방법

    제2장 주요 요약

    • 시장 개요
    • 주요 기업
    • 시장 동향과 촉진요인
    • 세계 시장 전망

    제3장 시장 분석

    • 미국
    • 캐나다
    • 일본
    • 중국
    • 유럽
    • 프랑스
    • 독일
    • 이탈리아
    • 영국
    • 스페인
    • 러시아
    • 기타 유럽
    • 아시아태평양
    • 호주
    • 인도
    • 한국
    • 기타 아시아태평양
    • 라틴아메리카
    • 아르헨티나
    • 브라질
    • 멕시코
    • 기타 라틴아메리카
    • 중동
    • 이란
    • 이스라엘
    • 사우디아라비아
    • 아랍에미리트(UAE)
    • 기타 중동
    • 아프리카

    제4장 경쟁

    LSH 24.10.04

    Global Machine Learning (ML) Market to Reach US$340.9 Billion by 2030

    The global market for Machine Learning (ML) estimated at US$50.5 Billion in the year 2023, is expected to reach US$340.9 Billion by 2030, growing at a CAGR of 31.4% over the analysis period 2023-2030. Services Component, one of the segments analyzed in the report, is expected to record a 33.7% CAGR and reach US$202.1 Billion by the end of the analysis period. Growth in the Software Component segment is estimated at 29.8% CAGR over the analysis period.

    The U.S. Market is Estimated at US$13.8 Billion While China is Forecast to Grow at 41.8% CAGR

    The Machine Learning (ML) market in the U.S. is estimated at US$13.8 Billion in the year 2023. China, the world's second largest economy, is forecast to reach a projected market size of US$97.8 Billion by the year 2030 trailing a CAGR of 41.8% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 24.4% and 27.9% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 26.0% CAGR.

    Global Machine Learning (ML) Market - Key Trends & Drivers Summarized

    Why Is Machine Learning (ML) Transforming Industries?

    Machine Learning (ML) is at the forefront of technological innovation, transforming industries by enabling computers to learn from data and make decisions with minimal human intervention. ML algorithms analyze vast amounts of data to identify patterns, make predictions, and improve over time without being explicitly programmed. This ability to process and analyze complex datasets at scale is driving the adoption of ML across various sectors, from healthcare and finance to retail and manufacturing. In healthcare, ML is being used to diagnose diseases, predict patient outcomes, and personalize treatment plans. In finance, ML powers fraud detection, algorithmic trading, and risk management. Retailers use ML to optimize supply chains, forecast demand, and enhance customer experiences through personalized recommendations. As businesses seek to leverage data to gain a competitive edge, the transformative power of ML is becoming increasingly evident across industries.

    How Are Advances in Technology Accelerating Machine Learning?

    The rapid advancements in technology are significantly accelerating the capabilities and adoption of Machine Learning. The development of more powerful and efficient processors, particularly GPUs and specialized AI chips, is enabling faster and more efficient training of ML models, allowing for real-time data analysis and decision-making. The rise of cloud computing has also played a crucial role by providing scalable and accessible computing resources that can handle the computational demands of ML algorithms. Furthermore, the integration of big data technologies has expanded the amount of data available for training ML models, improving their accuracy and robustness. The continuous advancements in algorithms and frameworks, such as deep learning and reinforcement learning, are pushing the boundaries of what ML can achieve, enabling more complex and sophisticated applications. These technological innovations are not only enhancing the performance of ML systems but are also making them more accessible to a broader range of industries and businesses.

    Which Sectors Are Leading the Adoption of Machine Learning?

    The adoption of Machine Learning is being led by sectors that generate and rely on large volumes of data to drive decision-making and innovation. The technology sector is a primary adopter, using ML to power a wide range of applications, from search engines and social media algorithms to cybersecurity and autonomous systems. The healthcare industry is another significant adopter, where ML is being used to analyze medical images, predict disease outbreaks, and develop personalized medicine. The financial services sector is leveraging ML for fraud detection, credit scoring, and automated trading systems. In the retail industry, ML is being used to optimize inventory management, personalize marketing efforts, and enhance customer service. The manufacturing sector is also increasingly adopting ML to improve predictive maintenance, quality control, and supply chain optimization. Across these sectors, the ability of ML to analyze data and automate decision-making processes is driving widespread adoption as businesses seek to enhance efficiency, reduce costs, and innovate.

    What Factors Are Driving the Growth of the Machine Learning Market?

    The growth in the Machine Learning (ML) market is driven by several factors that reflect the increasing demand for data-driven insights and automation across industries. The exponential growth of data generated by businesses and consumers is a major driver, as ML provides the tools to analyze and make sense of this data, enabling more informed decision-making. The rise of AI and the need for intelligent systems that can automate complex tasks is also fueling the demand for ML solutions. Additionally, the increasing availability of cloud-based ML services and platforms is lowering the barrier to entry for businesses, enabling more organizations to integrate ML into their operations. The continuous advancements in computing power, particularly with the development of AI-specific hardware, are enhancing the performance and efficiency of ML models, driving their adoption in more demanding and real-time applications. Furthermore, the growing emphasis on personalization and customer-centricity in industries such as retail, finance, and healthcare is pushing companies to adopt ML to deliver tailored experiences and services. These factors combined are propelling the ML market towards significant growth as businesses across industries recognize the value of leveraging ML to gain a competitive edge and drive innovation.

    Select Competitors (Total 35 Featured) -

    • Altair Engineering Inc.
    • Alteryx, Inc.
    • Amazon Web Services, Inc.
    • BigML, Inc. (U.S.)
    • Cisco Systems, Inc.
    • Databricks Inc.
    • FICO
    • H2o.AI
    • Iflowsoft Solutions Inc.
    • Intel Corporation
    • KNIME AG
    • Netguru S.A
    • Oracle Corporation
    • SAS Institute Inc.
    • Yottamine Analytics ;

    TABLE OF CONTENTS

    I. METHODOLOGY

    II. EXECUTIVE SUMMARY

    • 1. MARKET OVERVIEW
      • Influencer Market Insights
      • World Market Trajectories
      • Global Economic Update
      • Machine Learning (ML) - Global Key Competitors Percentage Market Share in 2024 (E)
      • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
    • 2. FOCUS ON SELECT PLAYERS
    • 3. MARKET TRENDS & DRIVERS
      • Rapid Expansion of AI and ML Applications Across Various Industries
      • Impact of Big Data and Data Analytics on ML Model Development
      • Growing Demand for Edge ML Solutions and Real-Time Data Processing
      • Influence of Cloud Computing on the Scalability of ML Solutions
      • Adoption of Automated ML (AutoML) for Streamlined Model Development
      • Impact of Open Source ML Tools and Frameworks on Market Accessibility
      • Growing Need for Explainable AI and Transparency in ML Algorithms
      • Impact of Quantum Computing on the Future of Machine Learning
      • Opportunities in Vertical-Specific ML Applications (e.g., Healthcare, Finance)
    • 4. GLOBAL MARKET PERSPECTIVE
      • TABLE 1: World Machine Learning (ML) Market Analysis of Annual Sales in US$ Million for Years 2014 through 2030
      • TABLE 2: World Recent Past, Current & Future Analysis for Machine Learning (ML) by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 3: World Historic Review for Machine Learning (ML) by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 4: World 16-Year Perspective for Machine Learning (ML) by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets for Years 2014, 2024 & 2030
      • TABLE 5: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 6: World Historic Review for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 7: World 16-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 8: World Recent Past, Current & Future Analysis for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 9: World Historic Review for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 10: World 16-Year Perspective for Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 11: World Recent Past, Current & Future Analysis for Hardware by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 12: World Historic Review for Hardware by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 13: World 16-Year Perspective for Hardware by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 14: World Recent Past, Current & Future Analysis for Automotive & Transportation End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 15: World Historic Review for Automotive & Transportation End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 16: World 16-Year Perspective for Automotive & Transportation End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 17: World Recent Past, Current & Future Analysis for Retail End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 18: World Historic Review for Retail End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 19: World 16-Year Perspective for Retail End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 20: World Recent Past, Current & Future Analysis for Agriculture End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 21: World Historic Review for Agriculture End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 22: World 16-Year Perspective for Agriculture End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 23: World Recent Past, Current & Future Analysis for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 24: World Historic Review for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 25: World 16-Year Perspective for Other End-Uses by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 26: World Recent Past, Current & Future Analysis for Advertising & Media End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 27: World Historic Review for Advertising & Media End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 28: World 16-Year Perspective for Advertising & Media End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 29: World Recent Past, Current & Future Analysis for BFSI End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 30: World Historic Review for BFSI End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 31: World 16-Year Perspective for BFSI End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 32: World Recent Past, Current & Future Analysis for Healthcare End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 33: World Historic Review for Healthcare End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 34: World 16-Year Perspective for Healthcare End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 35: World Recent Past, Current & Future Analysis for Manufacturing End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 36: World Historic Review for Manufacturing End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 37: World 16-Year Perspective for Manufacturing End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 38: World Recent Past, Current & Future Analysis for Large Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 39: World Historic Review for Large Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 40: World 16-Year Perspective for Large Enterprises by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030
      • TABLE 41: World Recent Past, Current & Future Analysis for SMEs by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 42: World Historic Review for SMEs by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 43: World 16-Year Perspective for SMEs by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2014, 2024 & 2030

    III. MARKET ANALYSIS

    • UNITED STATES
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2024 (E)
      • TABLE 44: USA Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 45: USA Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 46: USA 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 47: USA Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 48: USA Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 49: USA 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 50: USA Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 51: USA Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 52: USA 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • CANADA
      • TABLE 53: Canada Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 54: Canada Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 55: Canada 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 56: Canada Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 57: Canada Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 58: Canada 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 59: Canada Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 60: Canada Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 61: Canada 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • JAPAN
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2024 (E)
      • TABLE 62: Japan Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 63: Japan Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 64: Japan 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 65: Japan Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 66: Japan Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 67: Japan 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 68: Japan Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 69: Japan Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 70: Japan 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • CHINA
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2024 (E)
      • TABLE 71: China Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 72: China Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 73: China 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 74: China Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 75: China Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 76: China 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 77: China Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 78: China Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 79: China 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • EUROPE
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2024 (E)
      • TABLE 80: Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by Geographic Region - France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 81: Europe Historic Review for Machine Learning (ML) by Geographic Region - France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 82: Europe 16-Year Perspective for Machine Learning (ML) by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets for Years 2014, 2024 & 2030
      • TABLE 83: Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 84: Europe Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 85: Europe 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 86: Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 87: Europe Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 88: Europe 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 89: Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 90: Europe Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 91: Europe 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • FRANCE
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2024 (E)
      • TABLE 92: France Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 93: France Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 94: France 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 95: France Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 96: France Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 97: France 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 98: France Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 99: France Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 100: France 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • GERMANY
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2024 (E)
      • TABLE 101: Germany Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 102: Germany Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 103: Germany 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 104: Germany Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 105: Germany Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 106: Germany 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 107: Germany Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 108: Germany Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 109: Germany 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • ITALY
      • TABLE 110: Italy Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 111: Italy Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 112: Italy 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 113: Italy Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 114: Italy Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 115: Italy 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 116: Italy Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 117: Italy Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 118: Italy 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • UNITED KINGDOM
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2024 (E)
      • TABLE 119: UK Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 120: UK Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 121: UK 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 122: UK Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 123: UK Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 124: UK 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 125: UK Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 126: UK Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 127: UK 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • SPAIN
      • TABLE 128: Spain Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 129: Spain Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 130: Spain 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 131: Spain Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 132: Spain Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 133: Spain 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 134: Spain Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 135: Spain Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 136: Spain 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • RUSSIA
      • TABLE 137: Russia Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 138: Russia Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 139: Russia 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 140: Russia Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 141: Russia Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 142: Russia 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 143: Russia Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 144: Russia Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 145: Russia 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • REST OF EUROPE
      • TABLE 146: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 147: Rest of Europe Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 148: Rest of Europe 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 149: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 150: Rest of Europe Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 151: Rest of Europe 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 152: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 153: Rest of Europe Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 154: Rest of Europe 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • ASIA-PACIFIC
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2024 (E)
      • TABLE 155: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by Geographic Region - Australia, India, South Korea and Rest of Asia-Pacific Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 156: Asia-Pacific Historic Review for Machine Learning (ML) by Geographic Region - Australia, India, South Korea and Rest of Asia-Pacific Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 157: Asia-Pacific 16-Year Perspective for Machine Learning (ML) by Geographic Region - Percentage Breakdown of Value Sales for Australia, India, South Korea and Rest of Asia-Pacific Markets for Years 2014, 2024 & 2030
      • TABLE 158: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 159: Asia-Pacific Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 160: Asia-Pacific 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 161: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 162: Asia-Pacific Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 163: Asia-Pacific 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 164: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 165: Asia-Pacific Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 166: Asia-Pacific 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • AUSTRALIA
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Australia for 2024 (E)
      • TABLE 167: Australia Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 168: Australia Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 169: Australia 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 170: Australia Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 171: Australia Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 172: Australia 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 173: Australia Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 174: Australia Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 175: Australia 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • INDIA
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in India for 2024 (E)
      • TABLE 176: India Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 177: India Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 178: India 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 179: India Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 180: India Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 181: India 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 182: India Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 183: India Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 184: India 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • SOUTH KOREA
      • TABLE 185: South Korea Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 186: South Korea Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 187: South Korea 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 188: South Korea Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 189: South Korea Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 190: South Korea 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 191: South Korea Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 192: South Korea Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 193: South Korea 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • REST OF ASIA-PACIFIC
      • TABLE 194: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 195: Rest of Asia-Pacific Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 196: Rest of Asia-Pacific 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 197: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 198: Rest of Asia-Pacific Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 199: Rest of Asia-Pacific 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 200: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 201: Rest of Asia-Pacific Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 202: Rest of Asia-Pacific 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • LATIN AMERICA
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Latin America for 2024 (E)
      • TABLE 203: Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by Geographic Region - Argentina, Brazil, Mexico and Rest of Latin America Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 204: Latin America Historic Review for Machine Learning (ML) by Geographic Region - Argentina, Brazil, Mexico and Rest of Latin America Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 205: Latin America 16-Year Perspective for Machine Learning (ML) by Geographic Region - Percentage Breakdown of Value Sales for Argentina, Brazil, Mexico and Rest of Latin America Markets for Years 2014, 2024 & 2030
      • TABLE 206: Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 207: Latin America Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 208: Latin America 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 209: Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 210: Latin America Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 211: Latin America 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 212: Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 213: Latin America Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 214: Latin America 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • ARGENTINA
      • TABLE 215: Argentina Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 216: Argentina Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 217: Argentina 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 218: Argentina Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 219: Argentina Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 220: Argentina 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 221: Argentina Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 222: Argentina Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 223: Argentina 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • BRAZIL
      • TABLE 224: Brazil Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 225: Brazil Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 226: Brazil 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 227: Brazil Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 228: Brazil Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 229: Brazil 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 230: Brazil Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 231: Brazil Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 232: Brazil 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • MEXICO
      • TABLE 233: Mexico Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 234: Mexico Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 235: Mexico 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 236: Mexico Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 237: Mexico Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 238: Mexico 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 239: Mexico Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 240: Mexico Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 241: Mexico 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • REST OF LATIN AMERICA
      • TABLE 242: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 243: Rest of Latin America Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 244: Rest of Latin America 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 245: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 246: Rest of Latin America Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 247: Rest of Latin America 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 248: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 249: Rest of Latin America Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 250: Rest of Latin America 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • MIDDLE EAST
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Middle East for 2024 (E)
      • TABLE 251: Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by Geographic Region - Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
      • TABLE 252: Middle East Historic Review for Machine Learning (ML) by Geographic Region - Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 253: Middle East 16-Year Perspective for Machine Learning (ML) by Geographic Region - Percentage Breakdown of Value Sales for Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets for Years 2014, 2024 & 2030
      • TABLE 254: Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 255: Middle East Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 256: Middle East 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 257: Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 258: Middle East Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 259: Middle East 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 260: Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 261: Middle East Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 262: Middle East 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • IRAN
      • TABLE 263: Iran Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 264: Iran Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 265: Iran 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 266: Iran Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 267: Iran Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 268: Iran 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 269: Iran Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 270: Iran Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 271: Iran 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • ISRAEL
      • TABLE 272: Israel Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 273: Israel Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 274: Israel 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 275: Israel Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 276: Israel Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 277: Israel 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 278: Israel Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 279: Israel Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 280: Israel 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • SAUDI ARABIA
      • TABLE 281: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 282: Saudi Arabia Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 283: Saudi Arabia 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 284: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 285: Saudi Arabia Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 286: Saudi Arabia 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 287: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 288: Saudi Arabia Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 289: Saudi Arabia 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • UNITED ARAB EMIRATES
      • TABLE 290: UAE Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 291: UAE Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 292: UAE 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 293: UAE Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 294: UAE Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 295: UAE 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 296: UAE Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 297: UAE Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 298: UAE 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • REST OF MIDDLE EAST
      • TABLE 299: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 300: Rest of Middle East Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 301: Rest of Middle East 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 302: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 303: Rest of Middle East Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 304: Rest of Middle East 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 305: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 306: Rest of Middle East Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 307: Rest of Middle East 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030
    • AFRICA
      • Machine Learning (ML) Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Africa for 2024 (E)
      • TABLE 308: Africa Recent Past, Current & Future Analysis for Machine Learning (ML) by Component - Services, Software and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 309: Africa Historic Review for Machine Learning (ML) by Component - Services, Software and Hardware Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 310: Africa 16-Year Perspective for Machine Learning (ML) by Component - Percentage Breakdown of Value Sales for Services, Software and Hardware for the Years 2014, 2024 & 2030
      • TABLE 311: Africa Recent Past, Current & Future Analysis for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 312: Africa Historic Review for Machine Learning (ML) by End-Use - Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 313: Africa 16-Year Perspective for Machine Learning (ML) by End-Use - Percentage Breakdown of Value Sales for Automotive & Transportation End-Use, Retail End-Use, Agriculture End-Use, Other End-Uses, Advertising & Media End-Use, BFSI End-Use, Healthcare End-Use and Manufacturing End-Use for the Years 2014, 2024 & 2030
      • TABLE 314: Africa Recent Past, Current & Future Analysis for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
      • TABLE 315: Africa Historic Review for Machine Learning (ML) by Organization Size - Large Enterprises and SMEs Markets - Independent Analysis of Annual Sales in US$ Million for Years 2014 through 2022 and % CAGR
      • TABLE 316: Africa 16-Year Perspective for Machine Learning (ML) by Organization Size - Percentage Breakdown of Value Sales for Large Enterprises and SMEs for the Years 2014, 2024 & 2030

    IV. COMPETITION

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