시장보고서
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인공지능 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

Global Artificial Intelligence Market Size, Share, Trends & Growth Analysis Report 2026-2034

발행일: | 리서치사: Value Market Research | 페이지 정보: 영문 202 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(AI) 시장 규모는 2025년 4,184억 8,000만 달러에서 2026-2034년에 CAGR 36.23%로 성장하며, 2034년에는 6조 7,629억 3,000만 달러에 달할 것으로 예측되고 있습니다.

인공지능(AI) 시장은 다양한 분야의 조직들이 AI 기술의 혁신 가능성을 인식함에 따라 전례 없는 성장세를 보이고 있습니다. 머신러닝과 자연 언어 처리에서 컴퓨터 비전과 로봇공학에 이르기까지 AI는 비즈니스 운영 방식에 혁명을 일으켜 효율성을 높이고, 의사결정을 개선하며, 개인화된 경험을 제공할 수 있게 해줍니다. 의료, 금융, 소매, 제조 등 다양한 산업에서 AI 솔루션 도입이 증가하고 있으며, 기업이 데이터베이스 인사이트을 활용하여 경쟁 우위를 확보하려는 움직임이 수요를 주도하고 있습니다.

또한 자동화와 디지털 전환에 대한 관심이 높아지면서 AI의 전망을 재구성하고 있습니다. 조직이 업무 효율성과 비용 절감을 위해 AI 기술을 비즈니스 프로세스에 통합하는 것은 필수적인 요소가 되고 있습니다. 이러한 추세는 AI 기반 챗봇과 가상 비서가 사용자 경험을 향상시키고 응답 시간을 개선하는 고객 서비스 등의 분야에서 특히 두드러지게 나타나고 있습니다. AI와 IoT(사물인터넷), 블록체인 등 다른 신기술과의 융합은 새로운 혁신과 성장 기회를 창출할 것으로 기대되고 있습니다.

또한 AI 연구개발의 발전이 시장을 주도할 것으로 예측됩니다. 딥러닝 알고리즘, 신경망, 데이터 분석의 획기적인 발전은 AI 시스템의 역량을 강화하여 방대한 데이터 처리와 실행 가능한 인사이트을 제공할 수 있게 되었습니다. 조직이 AI 인재와 인프라에 투자함에 따라 세계 AI 시장은 경쟁력과 적응력이 향상되고 급변하는 기술 환경에서 그 중요성을 더욱 확고히할 것으로 예측됩니다.

목차

제1장 서론

제2장 개요

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 인공지능 시장 : 컴포넌트별

제5장 세계의 인공지능 시장 : 기술별

제6장 세계의 인공지능 시장 : 비즈니스 기능별

제7장 세계의 인공지능 시장 : 배포 모드별

제8장 세계의 인공지능 시장 : 최종사용자별

제9장 세계의 인공지능 시장 : 지역별

제10장 경쟁 구도

제11장 기업 개요

KSA 26.03.10

The Artificial Intelligence Market size is expected to reach USD 6762.93 Billion in 2034 from USD 418.48 Billion (2025) growing at a CAGR of 36.23% during 2026-2034.

The artificial intelligence (AI) market is experiencing unprecedented growth as organizations across various sectors recognize the transformative potential of AI technologies. From machine learning and natural language processing to computer vision and robotics, AI is revolutionizing how businesses operate, enabling them to enhance efficiency, improve decision-making, and deliver personalized experiences. The increasing adoption of AI solutions in industries such as healthcare, finance, retail, and manufacturing is driving demand, as companies seek to leverage data-driven insights to gain a competitive edge.

Moreover, the growing emphasis on automation and digital transformation is reshaping the AI landscape. As organizations strive to streamline operations and reduce costs, the integration of AI technologies into business processes is becoming essential. This trend is particularly evident in areas such as customer service, where AI-powered chatbots and virtual assistants are enhancing user experiences and improving response times. As the market continues to evolve, the convergence of AI with other emerging technologies, such as the Internet of Things (IoT) and blockchain, is expected to create new opportunities for innovation and growth.

In addition, advancements in AI research and development are set to propel the market forward. Breakthroughs in deep learning algorithms, neural networks, and data analytics are enhancing the capabilities of AI systems, enabling them to process vast amounts of data and deliver actionable insights. As organizations invest in AI talent and infrastructure, the global AI market is likely to see increased competitiveness and adaptability, ensuring its relevance in a rapidly changing technological landscape.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

  • Hardware
  • Software
  • Services

By Technology

  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Generative AI
  • Machine Vision

By Business Function

  • Human Resource Management
  • Cybersecurity
  • Operations
  • Finance & Accounting, Marketing & Sales
  • Others

By Deployment Mode

  • Cloud
  • On-premise

By End-user

  • Healthcare
  • BFSI
  • Law
  • Retail
  • Advertising & Media
  • Automotive & Transportation
  • Agriculture
  • Manufacturing
  • Others

COMPANIES PROFILED

  • Advanced Micro Devices Inc, AiCure, Arm Limited, Atomwise Inc, Baidu Inc, Clarifai Inc, Cyrcadia Health, Enlitic, H2Oai, IBM, Intel Corporation, Microsoft, NVIDIA Corporation, Sensely Inc

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

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

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL ARTIFICIAL INTELLIGENCE MARKET: BY COMPONENT 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Component
  • 4.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Technology
  • 5.2. Deep Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Machine Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Natural Language Processing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Generative AI Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Machine Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE MARKET: BY BUSINESS FUNCTION 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Business Function
  • 6.2. Human Resource Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Cybersecurity Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Operations Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Finance & Accounting, Marketing & Sales Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.6. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE MARKET: BY DEPLOYMENT MODE 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast Deployment Mode
  • 7.2. Cloud Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. On-premise Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL ARTIFICIAL INTELLIGENCE MARKET: BY END-USER 2022-2034 (USD MN)

  • 8.1. Market Analysis, Insights and Forecast End-user
  • 8.2. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.3. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.4. Law Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.5. Retail Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.6. Advertising & Media Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.7. Automotive & Transportation Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.8. Agriculture Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.9. Manufacturing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.10. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL ARTIFICIAL INTELLIGENCE MARKET: BY REGION 2022-2034(USD MN)

  • 9.1. Regional Outlook
  • 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.2.1 By Component
    • 9.2.2 By Technology
    • 9.2.3 By Business Function
    • 9.2.4 By Deployment Mode
    • 9.2.5 By End-user
    • 9.2.6 United States
    • 9.2.7 Canada
    • 9.2.8 Mexico
  • 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.3.1 By Component
    • 9.3.2 By Technology
    • 9.3.3 By Business Function
    • 9.3.4 By Deployment Mode
    • 9.3.5 By End-user
    • 9.3.6 United Kingdom
    • 9.3.7 France
    • 9.3.8 Germany
    • 9.3.9 Italy
    • 9.3.10 Russia
    • 9.3.11 Rest Of Europe
  • 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.4.1 By Component
    • 9.4.2 By Technology
    • 9.4.3 By Business Function
    • 9.4.4 By Deployment Mode
    • 9.4.5 By End-user
    • 9.4.6 India
    • 9.4.7 Japan
    • 9.4.8 South Korea
    • 9.4.9 Australia
    • 9.4.10 South East Asia
    • 9.4.11 Rest Of Asia Pacific
  • 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.5.1 By Component
    • 9.5.2 By Technology
    • 9.5.3 By Business Function
    • 9.5.4 By Deployment Mode
    • 9.5.5 By End-user
    • 9.5.6 Brazil
    • 9.5.7 Argentina
    • 9.5.8 Peru
    • 9.5.9 Chile
    • 9.5.10 South East Asia
    • 9.5.11 Rest of Latin America
  • 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.6.1 By Component
    • 9.6.2 By Technology
    • 9.6.3 By Business Function
    • 9.6.4 By Deployment Mode
    • 9.6.5 By End-user
    • 9.6.6 Saudi Arabia
    • 9.6.7 UAE
    • 9.6.8 Israel
    • 9.6.9 South Africa
    • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

  • 10.1. Recent Developments
  • 10.2. Company Categorization
  • 10.3. Supply Chain & Channel Partners (based on availability)
  • 10.4. Market Share & Positioning Analysis (based on availability)
  • 10.5. Vendor Landscape (based on availability)
  • 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE INDUSTRY

  • 11.1. Top Companies Market Share Analysis
  • 11.2. Company Profiles
    • 11.2.1 Advanced Micro Devices Inc
    • 11.2.2 AiCure
    • 11.2.3 Arm Limited
    • 11.2.4 Atomwise Inc
    • 11.2.5 Baidu Inc
    • 11.2.6 Clarifai Inc
    • 11.2.7 Cyrcadia Health
    • 11.2.8 Enlitic
    • 11.2.9 H2O.Ai
    • 11.2.10 IBM
    • 11.2.11 Intel Corporation
    • 11.2.12 Microsoft
    • 11.2.13 NVIDIA Corporation
    • 11.2.14 Sensely Inc
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