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1874609

세계의 인지 컴퓨팅 시장

Cognitive Computing

발행일: | 리서치사: Market Glass, Inc. (Formerly Global Industry Analysts, Inc.) | 페이지 정보: 영문 196 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.

세계의 인지 컴퓨팅 시장은 2030년까지 4,460억 달러에 달할 전망

2024년에 1,035억 달러로 추정되는 세계의 인지 컴퓨팅 시장은 2024-2030년의 분석 기간에 CAGR 27.6%로 성장하며, 2030년까지 4,460억 달러에 달할 것으로 예측됩니다. 이 리포트에서 분석 대상 부문의 하나인 자연언어처리 기술은 25.1%의 CAGR을 기록하며, 분석 기간 종료까지 1,590억 달러에 달할 것으로 예측됩니다. 기계학습 기술 부문의 성장률은 분석 기간에 30.6%의 CAGR로 추정되고 있습니다.

미국 시장은 305억 달러로 추정되는 한편, 중국은 26.5%의 CAGR로 성장할 것으로 예측됩니다.

미국의 인지 컴퓨팅 시장은 2024년에 305억 달러로 추정되고 있습니다. 세계 2위의 경제대국인 중국은 2024-2030년의 분석 기간에 26.5%의 CAGR로 추이하며, 2030년까지 670억 달러의 시장 규모에 달할 것으로 예측됩니다. 기타 주목할 만한 지역 시장으로는 일본과 캐나다를 들 수 있으며, 분석 기간 중 각각 24.0%, 23.5%의 CAGR로 성장할 것으로 예측됩니다. 유럽에서는 독일이 약 19.2%의 CAGR로 성장할 것으로 예측됩니다.

세계의 인지 컴퓨팅 시장 - 주요 시장 동향과 촉진요인의 개요

인지 컴퓨팅이란 무엇이며, 그 기능에 대하여

인지 컴퓨팅은 인공지능(AI), 머신러닝, 자연 언어처리(NLP), 데이터 분석을 통합하여 복잡한 문제를 해결하기 위해 인간의 사고 과정을 모방하는 첨단 컴퓨팅 시스템을 말합니다. 기존의 컴퓨팅 시스템이 사전 정의된 프로그래밍을 따르는 것과 달리, 인지 시스템은 처리할 데이터를 이해하고, 학습하고, 추론하도록 설계되어 있습니다. 이러한 시스템은 방대한 양의 정형 및 비정형 데이터를 분석하여 의미를 해석하고, 인간의 인지를 모방한 형태로 해결책을 제시할 수도 있습니다. 인지 컴퓨팅은 대규모 데이터세트를 실시간으로 처리하고 그 결과로부터 학습하여 지속적으로 응답을 개선합니다. 이를 통해 고객과의 소통부터 시장 동향까지 다양한 데이터 처리에 의존하는 산업에서 가치를 발휘하며, 여러 변수를 동시에 고려해야 하는 복잡한 의사결정을 지원합니다. 인지 시스템은 인간보다 더 빠르게 정보를 처리할 뿐만 아니라, 더 깊은 데이터베이스 인사이트를 제공함으로써 의사결정 과정을 강화하는 형태로 데이터를 처리합니다.

다양한 산업 분야에서의 인지 컴퓨팅 적용 사례

인지 컴퓨팅은 데이터와 보다 지능적이고 개인화된 상호작용을 가능하게 함으로써 수많은 산업을 변화시키고 있습니다. 의료 분야에서는 IBM의 왓슨과 같은 인지 컴퓨팅 시스템이 임상 데이터, 환자 이력, 최신 의학 연구를 처리하여 의사의 질병 진단, 치료법 제안, 나아가 환자 예후 예측을 돕고 있습니다. 이러한 시스템은 의료진이 정보에 입각한 의사결정을 내리고, 진단 오류를 줄이고, 맞춤 치료 계획을 제공하는 데 도움이 됩니다. 금융 분야에서는 부정행위 감지, 리스크 관리, 개인화된 재무계획에 활용되고 있습니다. 거래 패턴과 고객 행동을 분석하여 부정행위를 실시간으로 감지하고, 리스크 완화 방안을 제안합니다. 은행과 금융기관은 시장 동향을 예측하고 개별 고객의 목표와 위험 감수성에 맞게 투자 전략을 조정하여 개인화된 금융 조언을 제공하기 위해 인지 시스템을 활용하고 있습니다. 소매 및 E-Commerce 기업은 인지 컴퓨팅을 활용하여 개인화된 쇼핑 제안, 자동화된 고객 서비스, 예측적 재고 관리를 통해 고객 경험을 개선하고 있습니다. 인지 시스템은 고객의 구매 이력, 검색 행동, 소셜미디어에서의 상호작용을 분석하여 고객의 취향을 예측하고 실시간으로 상품을 추천합니다. 한편, 제조 및 물류 분야에서는 수요 예측, 병목현상 파악, 기계 예지보전 강화를 통해 인지시스템이 공급망 최적화를 실현하고 있습니다. 인지 컴퓨팅을 통해 기업은 다운타임 방지, 업무 효율성 향상, 비용 절감을 실현할 수 있습니다.

인지 컴퓨팅의 미래를 만들어갈 혁신은 무엇인가?

인지 컴퓨팅의 미래는 AI, 머신러닝, 데이터 처리 능력의 지속적인 발전으로 형성되고 있습니다. 가장 주목할 만한 혁신 중 하나는 딥러닝과 신경망의 통합입니다. 이를 통해 인지 시스템은 이미지, 동영상, 자연 언어 등 비정형 데이터를 전례 없는 정확도로 처리할 수 있게 되었습니다. 이러한 시스템은 인간 언어의 맥락과 뉘앙스를 이해할 수 있게 되어 가상 비서, 고객 서비스 봇, AI 기반 의사결정 플랫폼의 응답 정확도가 향상되고 있습니다. 또 다른 중요한 혁신은 보다 정교한 자연 언어 처리(NLP) 알고리즘의 개발입니다. 이를 통해 시스템이 인간의 언어를 해석하고 생성하는 능력이 향상되었습니다. 이러한 발전은 음성 인식 인지 시스템 및 대화형 AI의 눈부신 발전을 가져왔으며, 인간과 컴퓨터의 상호작용을 더욱 원활하고 직관적으로 만들어주고 있습니다. 클라우드 컴퓨팅 역시 대규모 데이터세트를 실시간으로 저장하고 처리하는 데 필요한 인프라를 제공함으로써 인지 컴퓨팅의 확장에 중요한 역할을 해왔습니다. 클라우드 기반 인지 플랫폼은 확장성이 뛰어나며, 모든 규모의 기업이 이러한 시스템을 사용할 수 있습니다. 또한 인지 컴퓨팅은 사물인터넷(IoT), 블록체인과 같은 다른 신기술과의 통합이 진행되고 있습니다. 인지 컴퓨팅과 IoT의 결합으로 상호 연결된 기기에서 보다 스마트한 데이터 수집 및 분석이 가능해져 스마트 시티, 산업 자동화, 자율주행차 등의 분야에서 실시간 의사결정이 강화되고 있습니다. 블록체인의 통합은 인지 컴퓨팅의 보안과 데이터 무결성을 강화하고, 이러한 시스템에서 처리되는 데이터의 안전성과 투명성을 보장합니다.

인지 컴퓨팅 시장의 성장을 이끄는 요인은 무엇인가?

인지 컴퓨팅 시장의 성장은 몇 가지 요인에 의해 촉진되고 있습니다. 주요 성장 요인 중 하나는 의료, 금융, 소매, 제조 등 다양한 분야에서의 AI 도입 확대입니다. 기업은 기존 시스템으로는 처리하기 어려운 대량의 데이터와 비정형 데이터를 처리하기 위해 인지 컴퓨팅에 많은 투자를 하고 있습니다. 인지 컴퓨팅은 다양한 데이터 소스로부터 실행 가능한 인사이트을 창출할 수 있는 능력을 가지고 있으며, 보다 현명한 의사결정과 고객 참여를 통해 경쟁 우위를 확보하고자 하는 기업에게 귀중한 자산이 될 수 있습니다. 인지 컴퓨팅의 성장을 가속하는 또 다른 요인은 클라우드 컴퓨팅의 이용 확대입니다. 이를 통해 인지 기술은 기업에게 보다 접근하기 쉽고 합리적인 가격으로 제공될 수 있게 되었습니다. 클라우드 플랫폼은 인지 시스템을 실행하는 데 필요한 컴퓨팅 파워를 제공하므로 기업은 막대한 On-Premise 인프라에 대한 투자 없이도 이러한 시스템을 도입할 수 있습니다. 또한 소매업, 금융 서비스업 등 고객이 개인화된 추천, 서비스, 솔루션을 기대하는 산업에서 개인화된 경험에 대한 소비자 수요가 증가하고 있으며, 이는 인지 시스템 도입을 촉진하고 있습니다. 또한 커넥티드 디바이스 증가와 IoT 기술의 보급으로 이러한 디바이스가 생성하는 방대한 데이터를 분석하고 대응할 수 있는 인지 컴퓨팅 시스템의 필요성이 증가하고 있습니다. 스마트 시티, 제조업, 자율주행차 등의 분야에서 인지 시스템은 센서와 디바이스의 데이터를 처리하고, 운영을 최적화하며, 실시간으로 지능형 의사결정을 내리는 데 중요한 역할을 합니다. 마지막으로 규제 준수와 데이터 보안에 대한 관심이 높아지면서 인지 컴퓨팅 시장의 성장에 기여하고 있습니다. 이러한 요인과 지속적인 기술 발전이 결합되어 인지 컴퓨팅 시장을 주도하고 있으며, 현대 비즈니스 전략에서 필수적인 요소로 자리 잡고 있습니다.

부문 :

기술별(자연언어처리, 기계학습, 자동 추론, 정보 검색) ; 도입 형태별(클라우드, 온프레미스)

조사 대상 기업의 예

  • CognitiveScale
  • Enterra Solutions LLC
  • Google, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Numenta, Inc.
  • Palantir Technologies Inc
  • Saffron Tech Pvt Ltd
  • Vicarious

AI INTEGRATIONS

검증된 전문가 컨텐츠와 AI 툴을 통해 시장 및 경쟁 정보 분석을 혁신하고 있습니다.

Global Industry Analysts는 일반적인 LLM이나 산업별 SLM에 대한 쿼리 방식에 의존하는 대신, 전 세계 도메인 전문가들이 엄선한 컨텐츠 리포지토리를 구축했습니다. 여기에는 비디오 전사, 블로그, 검색엔진 조사, 그리고 방대한 양의 기업, 제품/서비스, 시장 데이터가 포함됩니다.

관세 영향 계수

이번 보고서에는 Global Industry Analysts가 예측한 본사 소재지, 생산기지, 수출입(완제품 및 OEM)에 따른 기업의 경쟁력 변화에 따라 지역 시장에 미치는 관세의 영향을 반영했습니다. 이러한 복잡하고 다면적인 시장 현실은 수입원가(COGS) 증가, 수익성 감소, 공급망 재편 등 미시적 및 거시적 시장 역학을 통해 경쟁사들에게 영향을 미칠 것입니다.

목차

제1장 조사 방법

제2장 개요

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

제3장 시장 분석

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

제4장 경쟁

KSA

Global Cognitive Computing Market to Reach US$446.0 Billion by 2030

The global market for Cognitive Computing estimated at US$103.5 Billion in the year 2024, is expected to reach US$446.0 Billion by 2030, growing at a CAGR of 27.6% over the analysis period 2024-2030. Natural Language Processing Technology, one of the segments analyzed in the report, is expected to record a 25.1% CAGR and reach US$159.0 Billion by the end of the analysis period. Growth in the Machine Learning Technology segment is estimated at 30.6% CAGR over the analysis period.

The U.S. Market is Estimated at US$30.5 Billion While China is Forecast to Grow at 26.5% CAGR

The Cognitive Computing market in the U.S. is estimated at US$30.5 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$67.0 Billion by the year 2030 trailing a CAGR of 26.5% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 24.0% and 23.5% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 19.2% CAGR.

Global Cognitive Computing Market - Key Trends and Drivers Summarized

What Is Cognitive Computing and How Does It Function?

Cognitive computing refers to advanced computing systems that mimic human thought processes to solve complex problems by integrating artificial intelligence (AI), machine learning, natural language processing (NLP), and data analytics. Unlike traditional computing systems that follow predefined programming, cognitive systems are designed to understand, learn, and reason through the data they process. These systems can analyze vast amounts of structured and unstructured data, interpret meaning, and even suggest solutions in a way that simulates human cognition. Cognitive computing operates by taking large datasets, processing them in real-time, and learning from the outcomes to refine its responses continuously. This makes it valuable for industries that rely on handling diverse types of data, from customer interactions to market trends, and it can assist in making complex decisions where multiple variables must be considered simultaneously. Cognitive systems not only process information faster than humans but also handle data in ways that enhance decision-making processes by offering deeper, data-driven insights.

How Is Cognitive Computing Being Applied Across Various Industries?

Cognitive computing is transforming numerous industries by enabling more intelligent and personalized interactions with data. In healthcare, cognitive computing systems, such as IBM's Watson, are helping physicians diagnose diseases, recommend treatments, and even predict patient outcomes by processing clinical data, patient histories, and the latest medical research. These systems help healthcare professionals make more informed decisions, reduce diagnostic errors, and offer personalized care plans. In the financial sector, cognitive computing is used for fraud detection, risk management, and personalized financial planning. By analyzing transaction patterns and customer behaviors, cognitive systems can detect fraudulent activities in real-time and recommend actions to mitigate risks. Banks and financial institutions also use cognitive systems to offer personalized financial advice by predicting market trends and tailoring investment strategies to individual clients’ goals and risk tolerance. Retail and e-commerce businesses are leveraging cognitive computing to enhance customer experiences through personalized shopping suggestions, automated customer service, and predictive inventory management. Cognitive systems analyze customer purchase histories, browsing behaviors, and even social media interactions to predict preferences and recommend products in real-time. Meanwhile, in manufacturing and logistics, cognitive systems are optimizing supply chains by predicting demand, identifying bottlenecks, and enhancing predictive maintenance of machinery. Cognitive computing enables companies to prevent downtime, improve operational efficiency, and reduce costs.

What Innovations Are Shaping the Future of Cognitive Computing?

The future of cognitive computing is being shaped by continuous advancements in AI, machine learning, and data processing capabilities. One of the most notable innovations is the integration of deep learning and neural networks, which allow cognitive systems to process unstructured data, such as images, videos, and natural language, with unprecedented accuracy. These systems can now understand context and nuance in human language, enabling more accurate responses in virtual assistants, customer service bots, and AI-driven decision-making platforms. Another important innovation is the development of more sophisticated natural language processing (NLP) algorithms that improve a system's ability to interpret and generate human language. This has led to significant advancements in voice-activated cognitive systems and conversational AI, making human-computer interactions more seamless and intuitive. Cloud computing has also played a critical role in the expansion of cognitive computing by providing the necessary infrastructure to store and process large datasets in real-time. Cloud-based cognitive platforms offer scalability, making these systems accessible to businesses of all sizes. Furthermore, cognitive computing is increasingly being integrated with other emerging technologies such as the Internet of Things (IoT) and blockchain. The combination of cognitive computing and IoT allows for smarter data collection and analysis from interconnected devices, enhancing real-time decision-making in areas like smart cities, industrial automation, and autonomous vehicles. Blockchain integration enhances security and data integrity in cognitive computing, ensuring that data processed by these systems remains secure and transparent.

What Factors Are Driving Growth in the Cognitive Computing Market?

The growth in the cognitive computing market is driven by several factors. One of the primary growth drivers is the growing adoption of AI across various sectors, from healthcare and finance to retail and manufacturing. Companies are investing heavily in cognitive computing to process large volumes of data and make sense of unstructured data, which traditional systems struggle to handle. Cognitive computing’s ability to generate actionable insights from disparate data sources makes it a valuable asset for businesses looking to gain a competitive edge through smarter decision-making and improved customer engagement. Another factor driving the growth of cognitive computing is the increasing use of cloud computing, which has made cognitive technologies more accessible and affordable for companies. With cloud platforms offering the necessary computing power to run cognitive systems, businesses can deploy these systems without the need for massive on-premise infrastructure investments. Additionally, consumer demand for personalized experiences is fueling the adoption of cognitive systems in industries like retail and financial services, where customers expect tailored recommendations, services, and solutions. Moreover, the rise of connected devices and the proliferation of IoT technology are driving the need for cognitive computing systems capable of analyzing and responding to the vast amounts of data generated by these devices. In sectors such as smart cities, manufacturing, and autonomous vehicles, cognitive systems are playing a vital role in processing data from sensors and devices to optimize operations and make intelligent decisions in real-time. Finally, increased emphasis on regulatory compliance and data security is also contributing to the growth of the cognitive computing market. These factors, along with continuous technological advancements, are propelling the cognitive computing market forward, making it an essential component of modern business strategies.

SCOPE OF STUDY:

The report analyzes the Cognitive Computing market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Technology (Natural Language Processing, Machine Learning, Automated Reasoning, Information Retrieval); Deployment (Cloud, On-Premise)

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 46 Featured) -

  • CognitiveScale
  • Enterra Solutions LLC
  • Google, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Numenta, Inc.
  • Palantir Technologies Inc
  • Saffron Tech Pvt Ltd
  • Vicarious

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TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Trade Shocks, Uncertainty, and the Structural Rewiring of the Global Economy
    • Global Economic Update
    • Cognitive Computing - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Increased Focus on Automation Strengthens the Business Case for Cognitive Computing in Enterprises
    • Integration of AI and Natural Language Processing (NLP) Drives Adoption of Cognitive Computing Across Sectors
    • Growing Need for Real-Time Data Processing Expands Market Opportunity for Cognitive Computing
    • Advancements in Machine Learning Accelerate Innovation in Cognitive Computing Capabilities
    • Increasing Complexity of Data Management Generates Demand for Cognitive Computing in Big Data Analytics
    • Rising Adoption of Cloud Computing Expands the Addressable Market for Cognitive Computing Solutions
    • Growing Use of Cognitive Computing in Healthcare for Diagnosis and Treatment Planning Drives Demand
    • Proliferation of IoT Devices Spurs Growth in Cognitive Computing for Data Analysis and Insights
    • Increased Application of Cognitive Computing in Fraud Detection Generates Opportunities in Financial Services
    • Rising Use of Cognitive Computing in Robotics and Autonomous Systems Propels Growth in Manufacturing and Logistics
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Cognitive Computing Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Cognitive Computing 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 Cognitive Computing 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 Natural Language Processing 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 Natural Language Processing 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 Machine Learning 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 Machine Learning 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 Automated Reasoning 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 Automated Reasoning 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 Information Retrieval 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 Information Retrieval 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 Cloud 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 Cloud 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 On-Premise 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 On-Premise 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
    • Cognitive Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 16: USA Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 17: USA 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 18: USA Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 19: USA 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • CANADA
    • TABLE 20: Canada Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 21: Canada 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 22: Canada Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 23: Canada 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • JAPAN
    • Cognitive Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 24: Japan Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 25: Japan 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 26: Japan Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 27: Japan 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • CHINA
    • Cognitive Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 28: China Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 29: China 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 30: China Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 31: China 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • EUROPE
    • Cognitive Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 32: Europe Recent Past, Current & Future Analysis for Cognitive Computing 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 33: Europe 6-Year Perspective for Cognitive Computing by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 34: Europe Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 35: Europe 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 36: Europe Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 37: Europe 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • FRANCE
    • Cognitive Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 38: France Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: France 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 40: France Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 41: France 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • GERMANY
    • Cognitive Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 42: Germany Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Germany 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 44: Germany Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Germany 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • ITALY
    • TABLE 46: Italy Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Italy 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 48: Italy Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: Italy 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • UNITED KINGDOM
    • Cognitive Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 50: UK Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: UK 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 52: UK Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: UK 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 54: Rest of Europe Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 55: Rest of Europe 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 56: Rest of Europe Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Rest of Europe 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Cognitive Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 58: Asia-Pacific Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Asia-Pacific 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 60: Asia-Pacific Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Asia-Pacific 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 62: Rest of World Recent Past, Current & Future Analysis for Cognitive Computing by Technology - Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: Rest of World 6-Year Perspective for Cognitive Computing by Technology - Percentage Breakdown of Value Sales for Natural Language Processing, Machine Learning, Automated Reasoning and Information Retrieval for the Years 2025 & 2030
    • TABLE 64: Rest of World Recent Past, Current & Future Analysis for Cognitive Computing by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 65: Rest of World 6-Year Perspective for Cognitive Computing by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030

IV. COMPETITION

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