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市场调查报告书
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1944255

全球人工智慧市场规模、份额、趋势和成长分析报告（2026-2034）

Global Artificial Intelligence Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 202 Pages | 商品交期: 最快1-2个工作天内

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简介目录

预计人工智慧（AI）市场将从2025年的4184.8亿美元成长到2034年的67629.3亿美元，2026年至2034年的复合年增长率为36.23%。

随着各行各业的组织逐渐意识到人工智慧（AI）技术的变革潜力，人工智慧市场正经历着前所未有的成长。从机器学习和自然语言处理到电脑视觉和机器人技术，人工智慧正在彻底改变企业的运作方式，从而提高效率、改进决策并提供个人化体验。医疗保健、金融、零售和製造业等行业对人工智慧解决方案的日益普及，推动了市场需求，因为企业都在寻求利用数据驱动的洞察力来获得竞争优势。

此外，对自动化和数位转型的日益重视正在重塑人工智慧格局。随着企业寻求提高营运效率和降低成本，将人工智慧技术整合到业务流程中变得至关重要。这一趋势在客户服务等领域尤为明显，人工智慧驱动的聊天机器人和虚拟助理正在提升用户体验并缩短回应时间。随着市场的不断发展，人工智慧与其他新兴技术（例如物联网和区块链）的整合有望创造新的创新和成长机会。

此外，人工智慧研发的进步预计将推动市场发展。深度学习演算法、神经网路和数据分析领域的突破正在增强人工智慧系统的能力，使其能够处理大量数据并提供可执行的洞察。随着各组织对人工智慧人才和基础设施的投资，全球人工智慧市场预计将变得更加竞争激烈且更具适应性，从而巩固其在快速变化的技术环境中的重要性。

目录

第一章 引言

第二章执行摘要

第三章 市场变数、趋势与框架

  • 市场谱系展望
  • 绘製渗透率和成长前景图
  • 价值链分析
  • 法律规范
    • 标准与合规性
    • 监管影响分析
  • 市场动态
    • 市场驱动因素
    • 市场限制
    • 市场机会
    • 市场问题
  • 波特五力分析
  • PESTLE分析

第四章 全球人工智慧市场（按组件划分）

  • 市场分析、洞察与预测
  • 硬体
  • 软体
  • 服务

第五章 全球人工智慧市场（依技术划分）

  • 市场分析、洞察与预测
  • 深度学习
  • 机器学习
  • 自然语言处理
  • 人工智慧世代
  • 机器视觉

6. 全球人工智慧市场按业务职能划分

  • 市场分析、洞察与预测
  • 人力资源管理
  • 网路安全
  • 营运
  • 财务/会计、行销/销售
  • 其他的

第七章 全球人工智慧市场按部署模式划分

  • 市场分析、洞察与预测
  • 云
  • 本地部署

第八章 全球人工智慧市场（按最终用户划分）

  • 市场分析、洞察与预测
  • 卫生保健
  • BFSI
  • 法律
  • 零售
  • 广告与媒体
  • 汽车和运输业
  • 农业
  • 製造业
  • 其他的

第九章 全球人工智慧市场（按地区划分）

  • 区域分析
  • 北美市场分析、洞察与预测
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲市场分析、洞察与预测
    • 英国
    • 法国
    • 德国
    • 义大利
    • 俄罗斯
    • 其他欧洲国家
  • 亚太市场分析、洞察与预测
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 东南亚
    • 其他亚太国家
  • 拉丁美洲市场分析、洞察与预测
    • 巴西
    • 阿根廷
    • 秘鲁
    • 智利
    • 其他拉丁美洲国家
  • 中东和非洲市场分析、洞察与预测
    • 沙乌地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中东和非洲国家

第十章 竞争格局

  • 最新趋势
  • 公司分类
  • 供应链和销售管道合作伙伴（根据现有资讯）
  • 市场占有率和市场定位分析（基于现有资讯）
  • 供应商格局（基于现有资讯）
  • 策略规划

第十一章 公司简介

  • 主要公司的市占率分析
  • 公司简介
    • Advanced Micro Devices Inc
    • AiCure
    • Arm Limited
    • Atomwise Inc
    • Baidu Inc
    • Clarifai Inc
    • Cyrcadia Health
    • Enlitic
    • H2O.Ai
    • IBM
    • Intel Corporation
    • Microsoft
    • NVIDIA Corporation
    • Sensely Inc
简介目录
Product Code: VMR11218833

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