시장보고서
상품코드
1842250

세계의 인공지능 시장 규모, 점유율, 동향 분석 : 솔루션별, 기술별, 기능별, 최종 용도별, 지역별, 부문별 예측(2025-2033년)

Artificial Intelligence Market Size, Share & Trends Analysis Report By Solution, By Technology (Deep Learning, Machine Learning, NLP, Machine Vision, Generative AI), By Function, By End-use, By Region, And Segment Forecasts, 2025 - 2033

발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 125 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




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

인공지능 : 시장 개요

세계의 인공지능(AI) 시장 규모는 2024년에 2,792억 2,000만 달러로 평가되었으며, 2033년에는 3조 4,972억 6,000만 달러에 달할 것으로 예측되며, 2025년부터 2033년까지 CAGR은 31.5%‚?g‘????

하이테크 대기업의 지속적인 연구와 기술 혁신은 자동차, 의료, 소매, 금융, 제조 등의 산업에서 첨단 기술 채택을 촉진하고 있습니다.

웨어러블 가전제품에 인공지능을 통합하는 것은 일상적인 사용을 위한 새로운 애플리케이션을 창출함으로써 인공지능 시장을 발전시키고 있습니다. 이러한 기기의 소비자 보급이 확대되면 AI 연구개발에 대한 투자가 더욱 활발해질 것입니다. 제스처 기반 제어 및 직관적인 인터페이스와 같은 혁신은 사용자 경험과 AI 시스템과의 상호 작용을 향상시킵니다. 운동선수용을 포함한 산업 특화형 웨어러블은 새로운 수익원을 개척하고, 타겟팅된 AI 솔루션을 입증할 수 있습니다. 이러한 요소들이 결합되어 전체 AI 생태계가 강화되고 시장의 지속적인 성장을 뒷받침할 것입니다. 예를 들어, 2025년 9월 미국 기술 기업 메타(Meta)는 제스처 기반 명령용 손목 밴드 컨트롤러를 탑재하고 AI 기반 개인용 슈퍼 인텔리전스를 촉진하는 디스플레이가 내장된 소비자용 스마트 글래스를 출시했습니다. 이번 출시는 실시간 사용자 상호 작용을 강화하고, 커뮤니케이션과 기억력을 향상시키고, 일상 생활에서 인공지능의 실용적인 응용을 입증하는 것을 목표로 하고 있습니다.

AI는 다가올 디지털 시대의 중요한 혁명적 요소임이 입증되고 있습니다. 아마존닷컴, 구글, 애플, 페이스북, 페이스북, 인터내셔널 비즈니스 머신즈, 마이크로소프트 등 기술 대기업들은 인공지능 연구개발에 많은 투자를 하고 있으며, 인공지능 시장 규모를 확대하고 있습니다. 이들 기업은 AI를 기업의 활용 사례로 보다 친숙하게 다가갈 수 있도록 노력하고 있습니다. 또한, 더 나은 고객 경험을 제공하고 인공지능 산업 4.0에서 존재감을 높이기 위해 다양한 기업들이 AI 기술을 채택하고 있습니다.

AI의 혁신 속도를 가속화하고 있는 본질적인 사실은 과거 데이터세트에 대한 접근성입니다. 데이터 저장 및 복원이 보다 경제적으로 가능해짐에 따라, 의료 기관과 정부 기관은 연구 분야가 접근 가능한 비정형 데이터를 구축하고 있습니다. 연구자들은 과거 강우량 추이부터 임상 영상에 이르기까지 풍부한 데이터세트에 접근할 수 있습니다. 풍부한 데이터세트에 접근할 수 있는 차세대 컴퓨팅 아키텍처는 정보 과학자와 연구자들의 기술 혁신을 가속화하고 있습니다.

또한, 딥러닝과 인공신경망(ANN)의 발전은 항공우주, 의료, 제조, 자동차 등 여러 산업에서 AI를 도입하는 데 박차를 가하고 있습니다. ANN은 유사한 패턴을 인식하고 수정된 솔루션을 제공하는 데 도움을 줍니다. 구글맵과 같은 하이테크 기업들은 ANN을 도입하여 경로를 개선하고, ANN을 통해 받은 피드백에 대응하고 있습니다. ANN은 정밀하고 정확한 버전으로 진화하기 위해 기존의 머신러닝 시스템을 대체하고 있습니다. 예를 들어, GAN(Generative Adversarial Networks)이나 SSD(Single Shot MultiBox Detector)와 같은 컴퓨터 비전 기술의 최근 발전은 디지털 이미지 처리 기술로 이어지고 있습니다. 예를 들어, 저조도나 저해상도로 촬영된 이미지나 동영상은 이러한 기술을 통해 HD 화질로 변환할 수 있습니다. 컴퓨터 비전의 지속적인 연구로 보안 및 감시, 의료, 운송 등의 분야에서 디지털 영상 처리의 기반이 구축되고 있습니다. 머신러닝의 이러한 새로운 방법은 AI 버전의 훈련 및 배포 방식을 변화시킬 것으로 예상됩니다.

목차

제1장 분석 방법·범위

제2장 주요 요약

제3장 인공지능 시장 : 변수, 동향, 범위

  • 시장 개요/연관 전망
  • 시장 규모·성장률 전망
  • 업계 밸류체인 분석
  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인 분석
    • 업계 기회
    • 업계 과제
  • 인공지능 시장 : 분석 툴
    • Porter's Five Forces 분석
    • PESTEL 분석

제4장 인공지능 시장 : 솔루션별 추정·동향 분석

  • 부문 대시보드
  • 인공지능 시장 : 변동 분석, 솔루션별(10억 달러, 2024년·2033년)
  • 하드웨어
    • 엑셀러레이터
    • 프로세서
    • 메모리
    • 네트워크
  • 소프트웨어
  • 서비스
    • 프로페셔널
    • 매니지드

제5장 인공지능 시장 : 기술별 추정·동향 분석

  • 부문 대시보드
  • 인공지능 시장 : 변동 분석, 기술별(10억 달러, 2024년·2033년)
  • 딥러닝
  • 머신러닝
  • 자연어 처리(NLP)
  • 머신비전
  • 생성형 AI

제6장 인공지능 시장 : 기능별 추정·동향 분석

  • 부문 대시보드
  • 인공지능 시장 : 변동 분석, 기능별(10억 달러, 2024년·2033년)
  • 사이버 보안
  • 재무·회계
  • 인사 관리
  • 법무·컴플라이언스
  • 경영
  • 영업·마케팅
  • 공급망 관리

제7장 인공지능 시장 : 최종 용도별 추정·동향 분석

  • 부문 대시보드
  • 인공지능 시장 : 변동 분석, 최종 용도별(10억 달러, 2024년·2033년)
  • 의료
    • 로봇 보조 수술
    • 가상 간호 어시스턴트
    • 병원 워크플로우 관리
    • 투여량 오차 절감
    • 임상시험 참여자 식별
    • 예비 진단
    • 자동 영상 진단
  • BFSI
    • 리스크 평가
    • 재무 분석/조사
    • 투자/포트폴리오 관리
    • 기타
  • 법무
  • 소매업
  • 광고·미디어
  • 자동차·운송
  • 농업
  • 제조업
  • 기타

제8장 인공지능 시장 : 지역별 추정·동향 분석

  • 인공지능 시장 점유율 : 지역별(10억 달러, 2024년·2033년)
  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 영국
    • 독일
    • 프랑스
  • 아시아태평양
    • 중국
    • 일본
    • 인도
    • 호주
    • 한국
  • 라틴아메리카
    • 브라질
    • 멕시코
  • 중동 및 아프리카
    • 사우디아라비아
    • 아랍에미리트
    • 남아프리카공화국

제9장 경쟁 구도

  • 주요 시장 진입 기업의 최근 동향과 영향 분석
  • 기업 분류
  • 기업의 시장 포지셔닝
  • 기업 히트맵 분석
  • 전략 매핑
    • 확대
    • 기업 인수합병(M&A)
    • 사업 제휴·협력
    • 신제품 발매
    • 연구개발
  • 기업 개요
    • Advanced Micro Devices
    • AiCure
    • Arm Limited
    • Atomwise, Inc.
    • Ayasdi AI LLC
    • Baidu, Inc.
    • Clarifai, Inc
    • Cyrcadia Health
    • Enlitic, Inc.
    • Google LLC
    • H2O.ai.
    • HyperVerge, Inc.
    • International Business Machines Corporation
    • IBM Watson Health
    • Intel Corporation
    • Iris.ai AS.
    • Lifegraph
    • Microsoft
    • NVIDIA Corporation
    • Sensely, Inc.
    • Zebra Medical Vision, Inc.
KSM 25.11.13

Artificial Intelligence Market Summary

The global artificial intelligence market size was estimated at USD 279.22 billion in 2024 and is projected to reach USD 3,497.26 billion in 2033, expanding at a CAGR of 31.5% from 2025 to 2033. The continuous research and innovation directed by tech giants are driving adoption of advanced technologies in industry verticals, such as automotive, healthcare, retail, finance, and manufacturing.

The integration of artificial intelligence into wearable consumer devices is driving the AI market forward by creating new applications for everyday use. Increasing consumer adoption of these devices encourages further investment in AI research and development. Innovations such as gesture-based controls and intuitive interfaces improve user experience and interaction with AI systems. Industry-specific wearables, including those for athletes, open new revenue streams and demonstrate targeted AI solutions. Together, these factors strengthen the overall AI ecosystem and support sustained growth in the market. For instance, in September 2025, Meta, a U.S.-based technology company, launched its consumer-ready smart glasses with a built-in display, featuring a wristband controller for gesture-based commands and to advance AI-powered personal superintelligence. The launch aims to enhance real-time user interaction, improve communication and memory, and demonstrate the practical applications of artificial intelligence in everyday life.

AI has proven to be a significant revolutionary element of the upcoming digital era. Tech giants like Amazon.com, Inc.; Google LLC; Apple Inc.; Facebook; International Business Machines Corporation; and Microsoft are investing significantly in research and development of AI, thus increasing the artificial intelligence market cap. These companies are working to make AI more accessible for enterprise use cases. Moreover, various companies adopt AI technology to provide better customer experience and improve their presence in the artificial intelligence industry 4.0.

The essential fact accelerating the rate of innovation in AI is accessibility to historical datasets. Since data storage and recovery have become more economical, healthcare institutions and government agencies build unstructured data accessible to the research domain. Researchers are getting access to rich datasets, from historic rain trends to clinical imaging. The next-generation computing architectures, with access to rich datasets, are encouraging information scientists and researchers to innovate faster.

Furthermore, progress in profound learning and ANN (Artificial Neural Networks) has also fueled the adoption of AI in several industries, such as aerospace, healthcare, manufacturing, and automotive. ANN works in recognizing similar patterns and helps in providing modified solutions. Tech companies like Google Maps have been adopting ANN to improve their route and work on feedback received using ANN. ANN is substituting conventional machine learning systems to evolve precise and accurate versions. For instance, recent advancements in computer vision technology, such as GAN (Generative Adversarial Networks) and SSD (Single Shot MultiBox Detector), have led to digital image processing techniques. For instance, images and videos taken in low light, or low resolution, can be transformed into HD quality by employing these techniques. Continuous research in computer vision has built the foundation for digital image processing in security & surveillance, healthcare, and transportation, among other sectors. Such emerging methods in machine learning are anticipated to alter the manner AI versions are trained and deployed.

Global Artificial Intelligence Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global artificial intelligence market report based on solution, technology, function, end use, and region:

  • Solution Outlook (Revenue, USD Billion, 2021 - 2033)
  • Hardware
    • Accelerators
    • Processors
    • Memory
    • Network
  • Software
  • Services
    • Professional
    • Managed
  • Technology Outlook (Revenue, USD Billion, 2021 - 2033)
  • Deep Learning
  • Machine Learning
  • Natural Language Processing (NLP)
  • Machine Vision
  • Generative AI
  • Function Outlook (Revenue, USD Billion, 2021 - 2033)
  • Cybersecurity
  • Finance and Accounting
  • Human Resource Management
  • Legal and Compliance
  • Operations
  • Sales and Marketing
  • Supply Chain Management
  • End Use Outlook (Revenue, USD Billion, 2021 - 2033)
  • Healthcare
    • Robot Assisted Surgery
    • Virtual Nursing Assistants
    • Hospital Workflow Management
    • Dosage Error Reduction
    • Clinical Trial Participant Identifier
    • Preliminary Diagnosis
    • Automated Image Diagnosis
  • BFSI
    • Risk Assessment
    • Financial Analysis/Research
    • Investment/Portfolio Management
    • Others
  • Law
  • Retail
  • Advertising & Media
  • Automotive & Transportation
  • Agriculture
  • Manufacturing
  • Others
  • Regional Outlook (Revenue, USD Billion, 2021 - 2033)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
  • Latin America
    • Brazil
  • Middle East and Africa (MEA)
    • KSA
    • UAE
    • South Africa

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. Artificial Intelligence Market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Market Size and Growth Prospects (USD Billion)
  • 3.3. Industry Value Chain Analysis
  • 3.4. Market Dynamics
    • 3.4.1. Market Drivers Analysis
    • 3.4.2. Market Restraints Analysis
    • 3.4.3. Industry Opportunities
    • 3.4.4. Industry Challenges
  • 3.5. Artificial Intelligence Market Analysis Tools
    • 3.5.1. Porter's Analysis
      • 3.5.1.1. Bargaining power of the suppliers
      • 3.5.1.2. Bargaining power of the buyers
      • 3.5.1.3. Threats of substitution
      • 3.5.1.4. Threats from new entrants
      • 3.5.1.5. Competitive rivalry
    • 3.5.2. PESTEL Analysis
      • 3.5.2.1. Political landscape
      • 3.5.2.2. Economic and Social landscape
      • 3.5.2.3. Technological landscape
      • 3.5.2.4. Environmental landscape
      • 3.5.2.5. Legal landscape

Chapter 4. Artificial Intelligence Market: Solution Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Artificial Intelligence Market: Solution Movement Analysis, USD Billion, 2024 & 2033
  • 4.3. Hardware
    • 4.3.1. Hardware Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 4.3.2. Accelerators
      • 4.3.2.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 4.3.3. Processors
      • 4.3.3.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 4.3.4. Memory
      • 4.3.4.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 4.3.5. Network
      • 4.3.5.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 4.4. Software
    • 4.4.1. Software Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 4.5. Services
    • 4.5.1. Services Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 4.5.2. Professional
      • 4.5.2.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 4.5.3. Managed
      • 4.5.3.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 5. Artificial Intelligence Market: Technology Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Artificial Intelligence Market: Technology Movement Analysis, USD Billion, 2024 & 2033
  • 5.3. Deep Learning
    • 5.3.1. Deep Learning Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 5.4. Machine Learning
    • 5.4.1. Machine Learning Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 5.5. Natural Language Processing (NLP)
    • 5.5.1. Natural Language Processing (NLP) Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 5.6. Machine Vision
    • 5.6.1. Machine Vision Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 5.7. Generative AI
    • 5.7.1. Generative AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 6. Artificial Intelligence Market: Function Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Artificial Intelligence Market: Function Movement Analysis, USD Billion, 2024 & 2033
  • 6.3. Cybersecurity
    • 6.3.1. Cybersecurity Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 6.4. Finance and Accounting
    • 6.4.1. Finance and Accounting Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 6.5. Human Resource Management
    • 6.5.1. Human Resource Management Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 6.6. Legal and Compliance
    • 6.6.1. Legal and Compliance Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 6.7. Operations
    • 6.7.1. Operations Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 6.8. Sales and Marketing
    • 6.8.1. Sales and Marketing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 6.9. Supply Chain Management
    • 6.9.1. Supply Chain Management Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 7. Artificial Intelligence Market: End Use Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. Artificial Intelligence Market: End Use Movement Analysis, USD Billion, 2024 & 2033
  • 7.3. Healthcare
    • 7.3.1. Healthcare Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 7.3.2. Robot Assisted Surgery
      • 7.3.2.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 7.3.3. Virtual Nursing Assistants
      • 7.3.3.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 7.3.4. Hospital Workflow Management
      • 7.3.4.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 7.3.5. Dosage Error Reduction
      • 7.3.5.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 7.3.6. Clinical Trial Participant Identifier
      • 7.3.6.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 7.3.7. Preliminary Diagnosis
      • 7.3.7.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 7.3.8. Automated Image Diagnosis
      • 7.3.8.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.4. BFSI
    • 7.4.1. BFSI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 7.4.2. Risk Assessment
      • 7.4.2.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 7.4.3. Financial Analysis/Research
      • 7.4.3.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 7.4.4. Investment/Portfolio Management
      • 7.4.4.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 7.4.5. Others
      • 7.4.5.1. Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.5. Law
    • 7.5.1. Law Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.6. Retail
    • 7.6.1. Retail Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.7. Advertising & Media
    • 7.7.1. Advertising & Media Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.8. Automotive & Transportation
    • 7.8.1. Automotive & Transportation Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.9. Agriculture
    • 7.9.1. Agriculture Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.10. Manufacturing
    • 7.10.1. Manufacturing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.11. Others
    • 7.11.1. Others Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 8. Artificial Intelligence Market: Regional Estimates & Trend Analysis

  • 8.1. Artificial Intelligence Market Share, By Region, 2024 & 2033, USD Billion
  • 8.2. North America
    • 8.2.1. North America Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.2.2. U.S.
      • 8.2.2.1. U.S. Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.2.3. Canada
      • 8.2.3.1. Canada Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
  • 8.3. Europe
    • 8.3.1. Europe Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.3.2. UK
      • 8.3.2.1. UK Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.3.3. Germany
      • 8.3.3.1. Germany Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.3.4. France
      • 8.3.4.1. France Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
  • 8.4. Asia Pacific
    • 8.4.1. Asia Pacific Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.4.2. China
      • 8.4.2.1. China Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.4.3. Japan
      • 8.4.3.1. Japan Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.4.4. India
      • 8.4.4.1. India Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.4.5. Australia
      • 8.4.5.1. Australia Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.4.6. South Korea
      • 8.4.6.1. South Korea Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
  • 8.5. Latin America
    • 8.5.1. Latin America Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.5.2. Brazil
      • 8.5.2.1. Brazil Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.5.3. Mexico
      • 8.5.3.1. Mexico Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
  • 8.6. Middle East and Africa
    • 8.6.1. Middle East and Africa Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.6.2. KSA
      • 8.6.2.1. KSA Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.6.3. UAE
      • 8.6.3.1. UAE Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)
    • 8.6.4. South Africa
      • 8.6.4.1. South Africa Artificial Intelligence Market Estimates and Forecasts, 2021 - 2033 (USD BILLION)

Chapter 9. Competitive Landscape

  • 9.1. Recent Developments & Impact Analysis by Key Market Participants
  • 9.2. Company Categorization
  • 9.3. Company Market Positioning
  • 9.4. Company Heat Map Analysis
  • 9.5. Strategy Mapping
    • 9.5.1. Expansion
    • 9.5.2. Mergers & Acquisition
    • 9.5.3. Partnerships & Collaborations
    • 9.5.4. New Product Launches
    • 9.5.5. Research And Development
  • 9.6. Company Profiles
    • 9.6.1. Advanced Micro Devices
      • 9.6.1.1. Participant's Overview
      • 9.6.1.2. Financial Performance
      • 9.6.1.3. Product Benchmarking
      • 9.6.1.4. Recent Developments
    • 9.6.2. AiCure
      • 9.6.2.1. Participant's Overview
      • 9.6.2.2. Financial Performance
      • 9.6.2.3. Product Benchmarking
      • 9.6.2.4. Recent Developments
    • 9.6.3. Arm Limited
      • 9.6.3.1. Participant's Overview
      • 9.6.3.2. Financial Performance
      • 9.6.3.3. Product Benchmarking
      • 9.6.3.4. Recent Developments
    • 9.6.4. Atomwise, Inc.
      • 9.6.4.1. Participant's Overview
      • 9.6.4.2. Financial Performance
      • 9.6.4.3. Product Benchmarking
      • 9.6.4.4. Recent Developments
    • 9.6.5. Ayasdi AI LLC
      • 9.6.5.1. Participant's Overview
      • 9.6.5.2. Financial Performance
      • 9.6.5.3. Product Benchmarking
      • 9.6.5.4. Recent Developments
    • 9.6.6. Baidu, Inc.
      • 9.6.6.1. Participant's Overview
      • 9.6.6.2. Financial Performance
      • 9.6.6.3. Product Benchmarking
      • 9.6.6.4. Recent Developments
    • 9.6.7. Clarifai, Inc
      • 9.6.7.1. Participant's Overview
      • 9.6.7.2. Financial Performance
      • 9.6.7.3. Product Benchmarking
      • 9.6.7.4. Recent Developments
    • 9.6.8. Cyrcadia Health
      • 9.6.8.1. Participant's Overview
      • 9.6.8.2. Financial Performance
      • 9.6.8.3. Product Benchmarking
      • 9.6.8.4. Recent Developments
    • 9.6.9. Enlitic, Inc.
      • 9.6.9.1. Participant's Overview
      • 9.6.9.2. Financial Performance
      • 9.6.9.3. Product Benchmarking
      • 9.6.9.4. Recent Developments
    • 9.6.10. Google LLC
      • 9.6.10.1. Participant's Overview
      • 9.6.10.2. Financial Performance
      • 9.6.10.3. Product Benchmarking
      • 9.6.10.4. Recent Developments
    • 9.6.11. H2O.ai.
      • 9.6.11.1. Participant's Overview
      • 9.6.11.2. Financial Performance
      • 9.6.11.3. Product Benchmarking
      • 9.6.11.4. Recent Developments
    • 9.6.12. HyperVerge, Inc.
      • 9.6.12.1. Participant's Overview
      • 9.6.12.2. Financial Performance
      • 9.6.12.3. Product Benchmarking
      • 9.6.12.4. Recent Developments
    • 9.6.13. International Business Machines Corporation
      • 9.6.13.1. Participant's Overview
      • 9.6.13.2. Financial Performance
      • 9.6.13.3. Product Benchmarking
      • 9.6.13.4. Recent Developments
    • 9.6.14. IBM Watson Health
      • 9.6.14.1. Participant's Overview
      • 9.6.14.2. Financial Performance
      • 9.6.14.3. Product Benchmarking
      • 9.6.14.4. Recent Developments
    • 9.6.15. Intel Corporation
      • 9.6.15.1. Participant's Overview
      • 9.6.15.2. Financial Performance
      • 9.6.15.3. Product Benchmarking
      • 9.6.15.4. Recent Developments
    • 9.6.16. Iris.ai AS.
      • 9.6.16.1. Participant's Overview
      • 9.6.16.2. Financial Performance
      • 9.6.16.3. Product Benchmarking
      • 9.6.16.4. Recent Developments
    • 9.6.17. Lifegraph
      • 9.6.17.1. Participant's Overview
      • 9.6.17.2. Financial Performance
      • 9.6.17.3. Product Benchmarking
      • 9.6.17.4. Recent Developments
    • 9.6.18. Microsoft
      • 9.6.18.1. Participant's Overview
      • 9.6.18.2. Financial Performance
      • 9.6.18.3. Product Benchmarking
      • 9.6.18.4. Recent Developments
    • 9.6.19. NVIDIA Corporation
      • 9.6.19.1. Participant's Overview
      • 9.6.19.2. Financial Performance
      • 9.6.19.3. Product Benchmarking
      • 9.6.19.4. Recent Developments
    • 9.6.20. Sensely, Inc.
      • 9.6.20.1. Participant's Overview
      • 9.6.20.2. Financial Performance
      • 9.6.20.3. Product Benchmarking
      • 9.6.20.4. Recent Developments
    • 9.6.21. Zebra Medical Vision, Inc.
      • 9.6.21.1. Participant's Overview
      • 9.6.21.2. Financial Performance
      • 9.6.21.3. Product Benchmarking
      • 9.6.21.4. Recent Developments
샘플 요청 목록
0 건의 상품을 선택 중
목록 보기
전체삭제