시장보고서
상품코드
1643499

인공지능 공학 시장

Artificial Intelligence Engineering

발행일: | 리서치사: Market Glass, Inc. (Formerly Global Industry Analysts, Inc.) | 페이지 정보: 영문 162 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

인공지능 공학 세계 시장, 2030년까지 875억 달러에 달할 전망

2024년 157억 달러로 추정되는 인공지능 엔지니어링 세계 시장은 2024년부터 2030년까지 연평균 33.1%로 성장하여 2030년에는 875억 달러에 달할 것으로 예상됩니다. 본 보고서에서 분석한 부문 중 하나인 AI 엔지니어링 하드웨어는 CAGR 29.3%을 기록하여 분석 기간 종료 시점에 241억 달러에 달할 것으로 예상되며, AI 엔지니어링 소프트웨어 분야의 성장률은 분석 기간 동안 CAGR 32.8%로 추정됩니다.

미국 시장 41억 달러로 추정, 중국은 CAGR 31.6%로 성장 전망

미국의 인공지능 공학 시장은 2024년 41억 달러로 추정됩니다. 세계 2위의 경제 대국인 중국은 2030년까지 133억 달러의 시장 규모에 도달할 것으로 예상되며, 2024-2030년 분석 기간 동안 31.6% CAGR을 기록할 것으로 예상됩니다. 다른 주목할 만한 지역 시장으로는 일본과 캐나다가 분석 기간 동안 각각 29.7% 및 29.1%의 CAGR로 성장할 것으로 예상됩니다. 유럽에서는 독일이 약 23.4%의 CAGR로 성장할 것으로 예상됩니다.

세계 인공지능 공학 시장 - 주요 동향 및 촉진요인 정리

AI 엔지니어링은 기술 개발을 어떻게 변화시킬 것인가?

인공지능(AI) 엔지니어링은 AI 시스템을 대규모로 구축 및 배포하기 위한 체계적인 접근 방식을 제공함으로써 기술 개발에 혁명을 일으키고 있습니다. 기존의 AI 구현은 확장성, 신뢰성, 통합성 등의 문제로 어려움을 겪는 경우가 많은데, AI 엔지니어링은 소프트웨어 엔지니어링 원칙과 AI 고유의 기술을 결합하여 이러한 문제를 해결하고 강력하고 확장 가능하며 효율적인 시스템을 구축할 수 있도록 보장합니다. 이러한 접근 방식은 기존 비즈니스 프로세스 및 기술 생태계에 AI를 원활하게 통합할 수 있도록 돕습니다.

AI 엔지니어링은 데이터 준비, 모델 개발, 배포, 모니터링에 이르기까지 AI 시스템의 라이프사이클을 자동화하는 데 중점을 두고 있으며, MLOps(Machine Learning Operations)와 AIOps(Artificial Intelligence Operations)와 같은 도구를 통해 워크플로우를 간소화하고 복잡한 AI 프로젝트를 보다 효율적으로 관리할 수 있습니다. Intelligence Operations)와 같은 도구는 워크플로우를 간소화하여 팀이 복잡한 AI 프로젝트를 보다 효율적으로 관리할 수 있도록 돕습니다. 또한, AI 엔지니어링 관행은 설명 가능성과 투명성을 우선시하여 AI 모델이 효과적일 뿐만 아니라 해석 가능하고 윤리적 기준에 부합하도록 보장합니다. 이러한 혁신을 통해 AI 엔지니어링은 첨단 기술 개발의 중추로 자리매김하고 있습니다.

각 산업에서 AI 엔지니어링을 도입하는 원동력은 무엇인가?

확장 가능하고 신뢰할 수 있는 AI 솔루션에 대한 수요가 증가함에 따라 산업 전반에 걸쳐 AI 엔지니어링의 도입이 크게 증가하고 있습니다. 기업들은 대규모 데이터를 처리하고 일관된 결과를 제공할 수 있는 AI 시스템을 구현하기 위한 체계적인 접근 방식의 필요성을 점점 더 많이 인식하고 있으며, AI 엔지니어링은 AI 기반 솔루션의 안정성과 확장성을 보장하는 프레임워크와 방법을 제공함으로써 이러한 수요에 대응하고 있습니다. AI 엔지니어링은 이러한 수요에 대응합니다. 이는 시스템의 신뢰성과 성능이 중요한 금융, 의료, 제조 등의 산업에서 특히 가치가 있습니다.

또한 자연어 처리, 컴퓨터 비전, 생성형 AI와 같은 AI 기술의 급속한 발전은 전문적인 엔지니어링 관행의 필요성을 증가시키고 있습니다. 이러한 기술에는 개발, 테스트, 배포를 위한 엄격한 워크플로우가 필요하며, AI 엔지니어링은 이를 제공합니다. 또한 데이터 프라이버시, 보안, 컴플라이언스에 대한 관심이 높아지면서 AI 엔지니어링에 대한 수요도 증가하고 있습니다. 기업들은 높은 성능을 유지하면서 규제 요건을 준수하는 AI 시스템을 구축하기 위해 노력하고 있습니다. 이러한 요인들로 인해 AI 엔지니어링은 현대 기업의 기본 관행으로 널리 채택되고 있습니다.

AI 엔지니어링은 더 스마트한 비즈니스 운영을 가능하게 할 것인가?

AI 엔지니어링은 프로세스를 최적화하고, 의사결정을 강화하며, 혁신을 촉진하여 보다 스마트한 비즈니스 운영을 가능하게 합니다. 확장성과 신뢰성을 고려하여 설계된 AI 시스템을 도입함으로써 기업은 실시간 데이터 인사이트를 활용하여 정보에 입각한 의사결정을 신속하고 효과적으로 내릴 수 있으며, AI 엔지니어링을 통해 이러한 시스템은 적응력을 유지하고 변화하는 시장 환경과 소비자 요구에 민첩하게 대응할 수 있습니다. 변화하는 시장 환경과 소비자 수요에 민첩하게 대응할 수 있습니다.

AI 엔지니어링은 업무 효율성 향상과 더불어 산업 전반의 혁신을 촉진하고 있습니다. 기업은 제품 및 서비스에 고급 AI 기능을 통합함으로써 경쟁 시장에서 차별화를 꾀할 수 있습니다. 예를 들어, 소매업의 AI 엔지니어링 솔루션은 공급망 운영을 강화하고 고객 경험을 개인화할 수 있습니다. 헬스케어 분야에서는 진단 워크플로우를 최적화하고 환자 치료를 개선하며, AI 시스템을 원활하게 도입하고 효율적으로 유지보수할 수 있는 능력을 통해 기업은 AI의 잠재력을 극대화하여 보다 스마트한 운영과 지속가능한 성장을 촉진할 수 있습니다.

AI 엔지니어링 시장의 성장 원동력은?

인공지능 엔지니어링 시장의 성장은 현대 기술 생태계에서 AI 기술의 급속한 확산과 확장 가능하고 신뢰할 수 있는 AI 시스템에 대한 수요 증가로 인해 AI 엔지니어링에 대한 수요가 급증하고 있으며, 이는 현대 기술 생태계에서 그 중요성이 커지고 있음을 반영하고 있습니다. AI 엔지니어링에 박차를 가하고 있습니다. 조직은 AI 이니셔티브가 탄력적이고 효율적이며 비즈니스 목표에 부합하도록 하기 위해 AI 엔지니어링에 많은 투자를 하고 있습니다.

지능적이고 적응력이 뛰어난 기술에 대한 소비자의 기대는 기업들이 혁신적인 솔루션을 대규모로 제공하기 위한 수단으로 AI 엔지니어링을 채택하도록 유도하고 있습니다. 또한, 엣지 컴퓨팅과 IoT 디바이스의 등장으로 전례 없는 양의 데이터가 생성되고 있으며, 이를 효과적으로 처리하고 분석할 수 있는 고급 AI 엔지니어링 프레임워크가 요구되고 있습니다. 투명성, 데이터 프라이버시, 윤리적 AI 관행에 대한 규제 압력은 조직이 높은 성과를 유지하면서 컴플라이언스 기준을 충족하기 위해 노력하는 가운데 AI 엔지니어링의 채택을 더욱 촉진하고 있습니다. 자동화 및 AI 라이프사이클 관리 도구의 발전과 함께 이러한 요인들은 시장의 비약적인 성장을 촉진하고 있으며, AI 엔지니어링은 전 세계 디지털 전환 전략의 핵심 요소로 자리 잡고 있습니다.

부문

컴포넌트(하드웨어 컴포넌트, 소프트웨어 컴포넌트, 서비스 컴포넌트), 기술(머신러닝 기술, 딥러닝 기술, 자연어 처리(NLP) 기술, 컴퓨터 비전 기술), 최종사용자(IT & 통신 최종사용자, BFSI 최종사용자, 소매 최종사용자, 제조업 최종사용자, 헬스케어 최종사용자, 기타 최종사용자)

조사 대상 기업 사례(총 22개사 게재)

  • Amazon Web Services, Inc.
  • Cisco Systems, Inc.
  • DataRobot, Inc.
  • IBM Corporation
  • Intel Corporation
  • Lexalytics, Inc.
  • Microsoft Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Siemens AG

목차

제1장 조사 방법

제2장 주요 요약

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

제3장 시장 분석

  • 미국
  • 캐나다
  • 일본
  • 중국
  • 유럽
  • 프랑스
  • 독일
  • 이탈리아
  • 영국
  • 기타 유럽
  • 아시아태평양
  • 기타 지역

제4장 경쟁

ksm 25.02.14

Global Artificial Intelligence Engineering Market to Reach US$87.5 Billion by 2030

The global market for Artificial Intelligence Engineering estimated at US$15.7 Billion in the year 2024, is expected to reach US$87.5 Billion by 2030, growing at a CAGR of 33.1% over the analysis period 2024-2030. AI Engineering Hardware, one of the segments analyzed in the report, is expected to record a 29.3% CAGR and reach US$24.1 Billion by the end of the analysis period. Growth in the AI Engineering Software segment is estimated at 32.8% CAGR over the analysis period.

The U.S. Market is Estimated at US$4.1 Billion While China is Forecast to Grow at 31.6% CAGR

The Artificial Intelligence Engineering market in the U.S. is estimated at US$4.1 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$13.3 Billion by the year 2030 trailing a CAGR of 31.6% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 29.7% and 29.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 23.4% CAGR.

Global Artificial Intelligence Engineering Market - Key Trends & Drivers Summarized

How Is AI Engineering Transforming Technology Development?

Artificial Intelligence (AI) engineering is revolutionizing technology development by providing a structured approach to building and deploying AI systems at scale. Traditional AI implementations often struggle with issues such as scalability, reliability, and integration. AI engineering addresses these challenges by combining software engineering principles with AI-specific techniques, ensuring the creation of robust, scalable, and efficient systems. This approach facilitates the seamless integration of AI into existing business processes and technology ecosystems.

AI engineering focuses on automating the lifecycle of AI systems, from data preparation and model development to deployment and monitoring. Tools like MLOps (Machine Learning Operations) and AIOps (Artificial Intelligence Operations) streamline workflows, enabling teams to manage complex AI projects with greater efficiency. Furthermore, AI engineering practices prioritize explainability and transparency, ensuring that AI models are not only effective but also interpretable and aligned with ethical standards. These innovations are positioning AI engineering as the backbone of advanced technology development.

What Drives the Adoption of AI Engineering Across Industries?

The growing demand for scalable and reliable AI solutions is a significant driver of AI engineering adoption across industries. Businesses are increasingly recognizing the need for a systematic approach to implementing AI systems that can handle large-scale data and deliver consistent results. AI engineering addresses this demand by providing frameworks and methodologies that ensure the stability and scalability of AI-powered solutions. This is particularly valuable in industries like finance, healthcare, and manufacturing, where system reliability and performance are critical.

Additionally, the rapid advancement of AI technologies, such as natural language processing, computer vision, and generative AI, is driving the need for specialized engineering practices. These technologies require rigorous workflows for development, testing, and deployment, which AI engineering provides. The increasing emphasis on data privacy, security, and compliance is also fueling demand for AI engineering, as organizations seek to build AI systems that adhere to regulatory requirements while maintaining high performance. These factors are encouraging widespread adoption of AI engineering as a foundational practice for modern enterprises.

Can AI Engineering Enable Smarter Business Operations?

AI engineering is enabling smarter business operations by optimizing processes, enhancing decision-making, and driving innovation. By implementing AI systems that are designed for scalability and reliability, organizations can leverage real-time data insights to make informed decisions quickly and effectively. AI engineering practices ensure that these systems remain adaptable, enabling businesses to respond to changing market conditions and consumer demands with agility.

In addition to improving operational efficiency, AI engineering is fostering innovation across industries. By integrating advanced AI capabilities into products and services, companies can differentiate themselves in competitive markets. For example, AI-engineered solutions in retail enhance supply chain operations and personalize customer experiences, while in healthcare, they optimize diagnostic workflows and improve patient care. The ability to deploy AI systems seamlessly and maintain them efficiently ensures that organizations can unlock the full potential of AI, driving smarter operations and sustained growth.

What’s Driving the Growth of the AI Engineering Market?

The growth in the Artificial Intelligence Engineering market is driven by several transformative factors, reflecting its increasing importance in modern technology ecosystems. The rapid adoption of AI technologies, combined with the growing need for scalable and reliable AI systems, is fueling demand for AI engineering practices. Organizations are investing heavily in AI engineering to ensure their AI initiatives are resilient, efficient, and aligned with business objectives.

Consumer expectations for intelligent and adaptive technologies are pushing companies to adopt AI engineering as a means of delivering innovative solutions at scale. Additionally, the rise of edge computing and IoT devices is generating unprecedented volumes of data, requiring sophisticated AI engineering frameworks to process and analyze it effectively. Regulatory pressures for transparency, data privacy, and ethical AI practices are further encouraging the adoption of AI engineering, as organizations strive to meet compliance standards while maintaining high performance. These factors, along with advancements in automation and AI lifecycle management tools, are driving the exponential growth of the market, establishing AI engineering as a critical component of digital transformation strategies worldwide.

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence Engineering market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Hardware Component, Software Component, Services Component); Technology (Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology, Computer Vision Technology); End-Use (IT & Telecom End-Use, BFSI End-Use, Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 22 Featured) -

  • Amazon Web Services, Inc.
  • Cisco Systems, Inc.
  • DataRobot, Inc.
  • IBM Corporation
  • Intel Corporation
  • Lexalytics, Inc.
  • Microsoft Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Siemens AG

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Economic Frontiers: Trends, Trials & Transformations
    • Artificial Intelligence Engineering - 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
    • Demand for AI-Driven Software Development Accelerates Adoption of Engineering Practices
    • Focus on MLOps Strengthens Business Case for Continuous AI Model Optimization
    • Rising Adoption of Cloud-Native AI Engineering Sets the Stage for Market Expansion
    • Edge AI Engineering Drives Adoption in Latency-Sensitive Applications
    • AI Engineering Bodes Well for Market Growth Amid Increased Need for AI Governance
    • Growing Complexity in AI Workflows Highlights the Case for AI Engineering Automation
    • AI Engineering Solutions Amplify Productivity in Multi-Cloud AI Deployments
    • AI Engineering Expands Opportunities for Real-Time Analytics and Decision Making
    • Integration of AI and DevOps (AIOps) Sets the Stage for Market Growth
    • AI Engineering for Automated Testing Bodes Well for Improving Model Accuracy
    • Emerging Need for Explainable AI Strengthens Market for Transparent AI Engineering
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Artificial Intelligence Engineering Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Artificial Intelligence Engineering by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Hardware Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Hardware Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for Software Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Services Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Retail End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Retail End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Manufacturing End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Manufacturing End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Healthcare End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Healthcare End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Other End-Uses by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for IT & Telecom End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 19: World 6-Year Perspective for IT & Telecom End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for BFSI End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for BFSI End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 22: World Recent Past, Current & Future Analysis for Machine Learning Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 23: World 6-Year Perspective for Machine Learning Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 24: World Recent Past, Current & Future Analysis for Deep Learning Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 25: World 6-Year Perspective for Deep Learning Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Natural Language Processing (NLP) Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 27: World 6-Year Perspective for Natural Language Processing (NLP) Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Computer Vision Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 29: World 6-Year Perspective for Computer Vision Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 30: USA Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 31: USA 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 34: USA Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 35: USA 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • CANADA
    • TABLE 36: Canada Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 37: Canada 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 40: Canada Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Canada 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 42: Japan Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Japan 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 44: Japan Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Japan 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 46: Japan Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Japan 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 48: China Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: China 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 50: China Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: China 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 52: China Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: China 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 54: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 55: Europe 6-Year Perspective for Artificial Intelligence Engineering by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 56: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Europe 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 58: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Europe 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 60: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Europe 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 62: France Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: France 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 64: France Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 65: France 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 66: France Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 67: France 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 68: Germany Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Germany 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 70: Germany Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Germany 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 72: Germany Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 73: Germany 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • ITALY
    • TABLE 74: Italy Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 75: Italy 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 76: Italy Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 77: Italy 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 78: Italy Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 79: Italy 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 80: UK Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 81: UK 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 82: UK Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 83: UK 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 84: UK Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 85: UK 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 86: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Rest of Europe 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 88: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Rest of Europe 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 90: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Rest of Europe 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 92: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Asia-Pacific 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 94: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Asia-Pacific 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 96: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 97: Asia-Pacific 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 98: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Rest of World 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 100: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 101: Rest of World 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 102: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 103: Rest of World 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030

IV. COMPETITION

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