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市场调查报告书
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1721394

AI市场 (～2035年):提供区分·技术·展开·用途·终端用户·各地区的产业趋势及全球预测

Artificial Intelligence Market, Till 2035: Distribution by Type of Offering, Type of Technology, Type of Deployment, Type of Application Type of End User, Geographical Regions : Industry Trends and Global Forecasts
出版日期: | 出版商: Roots Analysis | 英文 174 Pages | 商品交期: 2-10个工作天内

价格

预计到 2035 年，全球人工智慧市场规模将从目前的 2736 亿美元增长至 52670 亿美元，预测期内的复合年增长率为 30.84%。

Artificial Intelligence Market-IMG1

AI的市场机会:各市场区隔

提供各种类

  • 硬体设备
  • 软体
  • 服务

处理类别

  • 云端
  • 边缘

各技术类型

  • 电脑视觉
  • 情境感知人工智慧
  • 专家系统
  • 机器学习
  • 自然语言处理
  • 机器人工学流程自动化

各部署

  • 云端基础
  • 内部部署

各用途

  • 自动客户服务
  • 诈欺侦测·风险管理
  • 医疗保健诊断
  • 行销&销售
  • 预测分析
  • 机器人工学
  • 供应链最佳化

各终端用户

  • 汽车
  • BFSI
  • 能源·公共事业
  • 政府机关
  • 医疗保健
  • 製造
  • 零售·电子商务
  • 通讯

各地区

  • 北美
  • 美国
  • 加拿大
  • 墨西哥
  • 其他的北美各国
  • 欧洲
  • 奥地利
  • 比利时
  • 丹麦
  • 法国
  • 德国
  • 爱尔兰
  • 义大利
  • 荷兰
  • 挪威
  • 俄罗斯
  • 西班牙
  • 瑞典
  • 瑞士
  • 英国
  • 其他欧洲各国
  • 亚洲
  • 中国
  • 印度
  • 日本
  • 新加坡
  • 韩国
  • 其他亚洲各国
  • 南美
  • 巴西
  • 智利
  • 哥伦比亚
  • 委内瑞拉
  • 其他的南美各国
  • 中东·北非
  • 埃及
  • 伊朗
  • 伊拉克
  • 以色列
  • 科威特
  • 沙乌地阿拉伯
  • 阿拉伯联合大公国
  • 其他的中东·北非各国
  • 全球其他地区
  • 澳洲
  • 纽西兰
  • 其他的国家

随着技术的不断发展，人工智慧正在迅速发展，并被广泛应用于几乎所有垂直行业。医疗保健、金融、教育和製造业等行业正在利用这项技术来增强数据驱动流程并管理重复性任务，从而增加了全球人工智慧市场扩张的潜力。过去几年，工业自动化的进步、物联网设备的日益普及以及持续的技术创新为行业参与者带来了新的商机。因此，各利益相关方正在大力投资人工智慧研发，以满足各行各业不断变化的需求。

预计通用人工智慧 (AGI) 的兴起将在未来预测期内推动全球人工智慧市场的强劲成长。

依服务领域划分的市占率

按服务领域划分，软体领域目前占据了大部分市场占有率。这是因为它广泛应用于各个领域，例如自然语言处理、电脑视觉、边缘人工智慧、机器学习、深度学习和机器人技术，并应用于医疗保健、汽车和金融等各个领域。另一方面，预计在预测期内，基于云端的细分市场将以更高的复合年增长率成长。

依技术类型划分的市占率

按技术类型划分，机器学习细分市场目前占据了大部分市场占有率。这是因为机器学习是人工智慧解决方案的基本组成部分，它使电脑能够开发能够从资料中学习、识别模式并做出决策的模型。另一方面，预计在预测期内，自然语言处理细分市场将以更高的复合年增长率成长。

依部署类型划分的市占率

按部署类型划分，基于云端的细分市场目前占据了大部分市场占有率，预计未来将以更高的复合年增长率成长。这归功于云端系统的可扩展性和灵活性，使企业能够根据自身需求调整人工智慧资源。此外，基于云端的方案具有成本效益，对于预算有限的中小企业来说更容易接受，因此更受欢迎。

按应用划分的市占率

按应用程式划分，行销和销售部门目前占据市场的大部分占有率。这归功于人工智慧技术在受众定位和提升客户参与度方面的广泛应用。此外，企业正在利用人工智慧工具来增强个人化行销策略，并获得人工智慧驱动的客户洞察和分析。另一方面，自动化客户服务部门预计在预测期内将以更高的复合年增长率成长。

以最终使用者类型划分的市场占有率

按最终用户划分，金融服务、保险和保险业（BFSI）部门目前占据市场的大部分占有率。这可能是由于人工智慧技术在优化营运、管理大量财务数据、检测诈欺和提供个人化客户体验方面的应用日益增多。同时，医疗保健部门预计在预测期内将以更高的复合年增长率成长。

本报告提供全球AI市场趋势调查、彙整市场概要，背景，市场影响因素的分析，市场规模的转变·预测，各种区分·各地区的详细分析，竞争情形，主要企业简介等资讯。

目录

第1章 序文

第2章 调查手法

第3章 经济以及其他的计划固有的讨论事项

第4章 宏观经济指标

  • 概要
  • 市场动态

第5章 摘要整理

第6章 简介

  • 概要
  • AI市场概要
  • 未来展望

第7章 竞争情形

  • 概要
  • AI市场情势

第8章 企业简介

  • 概要
  • Alibaba Cloud*
  • AMD
  • AMD
  • Arrow AI
  • AWS
  • Baidu
  • BMI
  • Cisco
  • DeepL
  • Dialpad
  • Glean
  • Google
  • Golden Omega
  • HPE
  • HQE System
  • Koninklijke
  • Huawei
  • Inbenta
  • Intel
  • Meta
  • Microsoft
  • Moveworks
  • NVIDIA
  • OpenAI
  • Oracle
  • Qualcomm
  • Salesforce
  • SAP
  • Seimens

第9章 价值链分析

第10章 SWOT分析

第11章 全球AI市场

  • 概要
  • 主要的前提调查手法
  • 影响市场的趋势的混乱
  • 全球AI市场:迄今的趋势与预测
  • 多变量情势分析
  • 主要的市场区隔

第12章 提供各种类的市场机会

  • 概要
  • 主要的前提调查手法
  • 收益转移分析
  • 市场变动分析
  • 渗透成长 (PG) 矩阵
  • 硬体设备AI市场:迄今的趋势与预测
  • 软体AI市场:迄今的趋势与预测
  • 服务AI市场:迄今的趋势与预测
  • 资料的三角测量检验

第13章 各技术的市场机会

  • 概要
  • 主要的前提调查手法
  • 收益转移分析
  • 市场变动分析
  • 渗透成长 (PG) 矩阵
  • 电脑视觉AI市场:迄今的趋势与预测
  • 情境感知AIAI市场:迄今的趋势与预测
  • 专家系统AI市场:迄今的趋势与预测
  • 机器学习AI市场:迄今的趋势与预测
  • 自然语言处理AI市场:迄今的趋势与预测
  • 机器人工学流程自动化 (RPA) 转动AI市场:迄今的趋势与预测
  • 资料的三角测量检验

第14章 各部署的市场机会

  • 概要
  • 关键假设与研究方法
  • 所得变动分析
  • 市场波动分析
  • 渗透成长 (PG) 矩阵
  • 基于云端的人工智慧：趋势与预测
  • 本地部署人工智慧：趋势与预测
  • 资料三角测量与验证

第15章 各用途的市场机会

  • 概要
  • 关键假设与研究方法
  • 所得变动分析
  • 市场变化分析
  • 渗透成长 (PG) 矩阵
  • 自动客户服务人工智慧市场：历史趋势与预测
  • 诈欺侦测与风险管理人工智慧市场：历史趋势与预测
  • 医疗诊断人工智慧市场：历史趋势与预测
  • 行销与销售人工智慧市场：历史趋势与预测
  • 预测分析人工智慧市场：历史趋势与预测
  • 机器人人工智慧市场：历史趋势与预测
  • 供应链优化人工智慧市场：历史趋势与预测
  • 资料三角测量与验证

第16章 各终端用户的市场机会

  • 概要
  • 关键假设与研究方法
  • 所得变动分析
  • 市场变化分析
  • 渗透成长 (PG) 矩阵
  • 汽车 AI 市场：趋势与预测
  • 金融服务、保险与保险业 AI 市场：趋势与预测
  • 能源与公用事业 AI 市场：趋势与预测
  • 政府 AI 市场：趋势与预测
  • 医疗保健 AI 市场：趋势与预测
  • 製造业AI市场:迄今的趋势与预测
  • 零售·电子商务AI市场:迄今的趋势与预测
  • 通讯的AI市场:迄今的趋势与预测
  • 其他AI市场:迄今的趋势与预测
  • 资料的三角测量检验

第17章 北美AI的市场机会

  • 概要
  • 主要的前提调查手法
  • 收益转移分析
  • 市场变动分析
  • 渗透成长 (PG) 矩阵
  • 北美的AI市场:迄今的趋势与预测
  • 资料的三角测量检验

第18章 欧洲的AI的市场机会

  • 概要
  • 主要的前提调查手法
  • 收益转移分析
  • 市场变动分析
  • 渗透成长 (PG) 矩阵
  • 欧洲的AI市场:迄今的趋势与预测
  • 资料的三角测量检验

第19章 亚洲的AI的市场机会

  • 概要
  • 主要的前提调查手法
  • 收益转移分析
  • 市场变动分析
  • 渗透成长 (PG) 矩阵
  • 亚洲的AI市场:迄今的趋势与预测
  • 资料的三角测量检验

第20章 中东·北非 (MENA) 的AI的市场机会

  • 概要
  • 主要的前提调查手法
  • 收益转移分析
  • 市场变动分析
  • 渗透成长 (PG) 矩阵
  • 中东·北非 (MENA) 的AI市场:迄今的趋势与预测
  • 资料的三角测量检验

第21章 南美的AI的市场机会

  • 概要
  • 主要的前提调查手法
  • 收益转移分析
  • 市场变动分析
  • 渗透成长 (PG) 矩阵
  • 南美的AI市场:迄今的趋势与预测
  • 资料的三角测量检验

第22章 全球其他地区的AI的市场机会

  • 概要
  • 主要的前提调查手法
  • 收益转移分析
  • 市场变动分析
  • 渗透成长 (PG) 矩阵
  • 全球其他地区的AI市场:迄今的趋势与预测
  • 资料的三角测量检验

第23章 表格形式资料

第24章 企业·团体一览

第25章 客制化的机会

第26章 ROOTS订阅服务

第27章 着者详细内容

Product Code: RAICT300147

Artificial Intelligence Market Overview

As per Roots Analysis, the global artificial intelligence market size is estimated to grow from USD 273.6 billion in the current year to USD 5,267 billion by 2035, at a CAGR of 30.84% during the forecast period, till 2035.

Artificial Intelligence Market - IMG1

The opportunity for artificial intelligence market has been distributed across the following segments:

Type of Offering

  • Hardware
  • Software
  • Service

Type of Processing

  • Cloud
  • Edge

Type of Technology

  • Computer Vision
  • Context-Aware AI
  • Experts Systems
  • Machine Learning
  • Natural Language Processing
  • Robotics Process Automation

Type of Deployment

  • Cloud-based
  • On-Premises

Type of Application

  • Automated Customer Service
  • Fraud Detection & Risk Management
  • Healthcare Diagnostics
  • Marketing & Sales
  • Predictive Analytics
  • Robotics
  • Supply Chain Optimization

Type of End User

  • Automotive
  • BFSI
  • Energy & Utilities
  • Government
  • Healthcare
  • Manufacturing
  • Retail & E-Commerce
  • Telecommunication

Geographical Regions

  • North America
  • US
  • Canada
  • Mexico
  • Other North American countries
  • Europe
  • Austria
  • Belgium
  • Denmark
  • France
  • Germany
  • Ireland
  • Italy
  • Netherlands
  • Norway
  • Russia
  • Spain
  • Sweden
  • Switzerland
  • UK
  • Other European countries
  • Asia
  • China
  • India
  • Japan
  • Singapore
  • South Korea
  • Other Asian countries
  • Latin America
  • Brazil
  • Chile
  • Colombia
  • Venezuela
  • Other Latin American countries
  • Middle East and North Africa
  • Egypt
  • Iran
  • Iraq
  • Israel
  • Kuwait
  • Saudi Arabia
  • UAE
  • Other MENA countries
  • Rest of the World
  • Australia
  • New Zealand
  • Other countries

ARTIFICIAL INTELLIGENCE MARKET: GROWTH AND TRENDS

Artificial Intelligence (AI) refers to a wide area of computer science focused on developing machines that can execute tasks typically requiring human intelligence. This technology features various capabilities, including speaking, seeing, language comprehension and translation, and data analysis, marking it as one of the groundbreaking developments in the digital age. Additionally, it is worth mentioning that AI is a broad term that includes a variety of technologies, such as machine learning, deep learning, computer vision, and natural language processing.

As technology continues to evolve, AI is advancing quickly and is being widely adopted across almost all business sectors. Industries such as healthcare, finance, education, and manufacturing are utilizing this technology to enhance their data-driven processes and manage repetitive tasks, boosting the potential expansion of the global AI market. Throughout the years, the increasing implementation of industrial automation, the growing use of IoT devices, and ongoing technological progress have created new opportunities for industry participants. Consequently, stakeholders are making significant investments in AI research and development to address the evolving requirements of various sectors.

Driven by the rise of artificial general intelligence (AGI), the global artificial intelligence market is expected to grow at a healthy pace during the forecast period.

ARTIFICIAL INTELLIGENCE MARKET: KEY SEGMENTS

Market Share by Type of Offering

Based on the type of offering, the global artificial intelligence market is segmented into AI hardware, software, and service offerings. According to our estimates, currently, software segment captures the majority share of the market. This can be attributed to the wide range of applications, including natural language processing, computer vision, edge AI, machine learning, deep learning, and robotics, which are utilized across various sectors such as healthcare, automotive, and finance. However, cloud-based segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Technology

Based on the type of technology, the artificial intelligence market is segmented into computer vision, context-aware AI, experts systems, machine learning, natural language processing, and robotics process automation. According to our estimates, currently, machine learning segment captures the majority share of the market. This can be attributed to the fact that machine learning serves as a fundamental component of AI solutions, enabling the development of models that allow computers to learn from data, identify patterns, and make decisions. However, natural language processing segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Deployment

Based on the type of deployment, the artificial intelligence market is segmented into cloud-based and on-premises. According to our estimates, currently, cloud-based segment captures the majority share of the market; further, this segment is anticipated to grow at a higher CAGR in the future. This can be attributed to scalability and flexibility of cloud-based systems, allowing organizations to adjust AI resources based on their needs. Additionally, the cost-effectiveness of cloud-based options makes them increasingly popular and accessible to small and medium-sized enterprises with limited budgets, enabling them to take advantage of AI-as-a-service offerings at a manageable price.

Market Share by Type of Application

Based on the type of application, the artificial intelligence market is segmented into automated customer service, fraud detection & risk management, healthcare diagnostics, marketing & sales, predictive analytics, robotics, and supply chain optimization. According to our estimates, currently, marketing & sales segment captures the majority share of the market. This can be attributed to the prevalent use of AI technology for audience targeting and improving customer engagement. Additionally, companies are utilizing AI tools to enhance personalized marketing strategies and gain AI-driven customer insights and analytics. However, automated customer service segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of End User

Based on the type of end user, the artificial intelligence market is segmented into automotive, BFSI, energy & utilities, government, healthcare, manufacturing, retail & e-commerce, telecommunication, and others. According to our estimates, currently, BFSI segment captures the majority share of the market. This can be attributed to its increased use of AI technology to optimize operations, manage large volumes of financial data, detect fraud, and provide personalized customer experiences. However, healthcare segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Geographical Regions

Based on the geographical regions, the artificial intelligence market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and Rest of the World. According to our estimates, currently, North America captures the majority share of the market. However, market share in Asia is anticipated to grow at a higher CAGR during the forecast period.

Example Players in Artificial Intelligence Market

  • Alibaba Cloud
  • AMD
  • Arrow AI
  • AWS
  • Baidu
  • BMI
  • Cisco
  • DeepL
  • Dilapad
  • Glean
  • Google
  • HPE
  • HQE System
  • Huawei
  • Inbenta
  • Intel
  • Meta
  • Microsoft
  • Moveworks
  • NVIDIA
  • OpenAI
  • Oracle
  • Qualcomm
  • Salesforce
  • SAP
  • SAS Institute
  • Siemens
  • Spot AI

ARTIFICIAL INTELLIGENCE MARKET: RESEARCH COVERAGE

The report on the Artificial intelligence market features insights on various sections, including:

  • Market Sizing and Opportunity Analysis: An in-depth analysis of the Artificial intelligence market, focusing on key market segments, including [A] type of offering, [B] type of technology, [C] type of deployment, [D] type of application, [E] type of end user and [F] geographical regions.
  • Competitive Landscape: A comprehensive analysis of the companies engaged in the Artificial intelligence market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters, [D] ownership structure.
  • Company Profiles: Elaborate profiles of prominent players engaged in the Artificial intelligence market, providing details on [A] location of headquarters, [B]company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] artificial intelligence portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
  • SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.

KEY QUESTIONS ANSWERED IN THIS REPORT

  • How many companies are currently engaged in this market?
  • Which are the leading companies in this market?
  • What is the significance of edge AI in the Artificial intelligence market?
  • What factors are likely to influence the evolution of this market?
  • What is the current and future market size?
  • What is the CAGR of this market?
  • How is the current and future market opportunity likely to be distributed across key market segments?
  • Which type of Artificial intelligence is expected to dominate the market?

REASONS TO BUY THIS REPORT

  • The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
  • Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
  • The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

ADDITIONAL BENEFITS

  • Complimentary Excel Data Packs for all Analytical Modules in the Report
  • 10% Free Content Customization
  • Detailed Report Walkthrough Session with Research Team
  • Free Updated report if the report is 6-12 months old or older

TABLE OF CONTENTS

1. PREFACE

  • 1.1. Introduction
  • 1.2. Market Share Insights
  • 1.3. Key Market Insights
  • 1.4. Report Coverage
  • 1.5. Key Questions Answered
  • 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

  • 2.1. Chapter Overview
  • 2.2. Research Assumptions
  • 2.3. Database Building
    • 2.3.1. Data Collection
    • 2.3.2. Data Validation
    • 2.3.3. Data Analysis
  • 2.4. Project Methodology
    • 2.4.1. Secondary Research
      • 2.4.1.1. Annual Reports
      • 2.4.1.2. Academic Research Papers
      • 2.4.1.3. Company Websites
      • 2.4.1.4. Investor Presentations
      • 2.4.1.5. Regulatory Filings
      • 2.4.1.6. White Papers
      • 2.4.1.7. Industry Publications
      • 2.4.1.8. Conferences and Seminars
      • 2.4.1.9. Government Portals
      • 2.4.1.10. Media and Press Releases
      • 2.4.1.11. Newsletters
      • 2.4.1.12. Industry Databases
      • 2.4.1.13. Roots Proprietary Databases
      • 2.4.1.14. Paid Databases and Sources
      • 2.4.1.15. Social Media Portals
      • 2.4.1.16. Other Secondary Sources
    • 2.4.2. Primary Research
      • 2.4.2.1. Introduction
      • 2.4.2.2. Types
        • 2.4.2.2.1. Qualitative
        • 2.4.2.2.2. Quantitative
      • 2.4.2.3. Advantages
      • 2.4.2.4. Techniques
        • 2.4.2.4.1. Interviews
        • 2.4.2.4.2. Surveys
        • 2.4.2.4.3. Focus Groups
        • 2.4.2.4.4. Observational Research
        • 2.4.2.4.5. Social Media Interactions
      • 2.4.2.5. Stakeholders
        • 2.4.2.5.1. Company Executives (CXOs)
        • 2.4.2.5.2. Board of Directors
        • 2.4.2.5.3. Company Presidents and Vice Presidents
        • 2.4.2.5.4. Key Opinion Leaders
        • 2.4.2.5.5. Research and Development Heads
        • 2.4.2.5.6. Technical Experts
        • 2.4.2.5.7. Subject Matter Experts
        • 2.4.2.5.8. Scientists
        • 2.4.2.5.9. Doctors and Other Healthcare Providers
      • 2.4.2.6. Ethics and Integrity
        • 2.4.2.6.1. Research Ethics
        • 2.4.2.6.2. Data Integrity
    • 2.4.3. Analytical Tools and Databases

3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS

  • 3.1. Forecast Methodology
    • 3.1.1. Top-Down Approach
    • 3.1.2. Bottom-Up Approach
    • 3.1.3. Hybrid Approach
  • 3.2. Market Assessment Framework
    • 3.2.1. Total Addressable Market (TAM)
    • 3.2.2. Serviceable Addressable Market (SAM)
    • 3.2.3. Serviceable Obtainable Market (SOM)
    • 3.2.4. Currently Acquired Market (CAM)
  • 3.3. Forecasting Tools and Techniques
    • 3.3.1. Qualitative Forecasting
    • 3.3.2. Correlation
    • 3.3.3. Regression
    • 3.3.4. Time Series Analysis
    • 3.3.5. Extrapolation
    • 3.3.6. Convergence
    • 3.3.7. Forecast Error Analysis
    • 3.3.8. Data Visualization
    • 3.3.9. Scenario Planning
    • 3.3.10. Sensitivity Analysis
  • 3.4. Key Considerations
    • 3.4.1. Demographics
    • 3.4.2. Market Access
    • 3.4.3. Reimbursement Scenarios
    • 3.4.4. Industry Consolidation
  • 3.5. Robust Quality Control
  • 3.6. Key Market Segmentations
  • 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

  • 4.1. Chapter Overview
  • 4.2. Market Dynamics
    • 4.2.1. Time Period
      • 4.2.1.1. Historical Trends
      • 4.2.1.2. Current and Forecasted Estimates
    • 4.2.2. Currency Coverage
      • 4.2.2.1. Overview of Major Currencies Affecting the Market
      • 4.2.2.2. Impact of Currency Fluctuations on the Industry
    • 4.2.3. Foreign Exchange Impact
      • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
      • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
    • 4.2.4. Recession
      • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
      • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
    • 4.2.5. Inflation
      • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
      • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
    • 4.2.6. Interest Rates
      • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
      • 4.2.6.2. Strategies for Managing Interest Rate Risk
    • 4.2.7. Commodity Flow Analysis
      • 4.2.7.1. Type of Commodity
      • 4.2.7.2. Origins and Destinations
      • 4.2.7.3. Values and Weights
      • 4.2.7.4. Modes of Transportation
    • 4.2.8. Global Trade Dynamics
      • 4.2.8.1. Import Scenario
      • 4.2.8.2. Export Scenario
    • 4.2.9. War Impact Analysis
      • 4.2.9.1. Russian-Ukraine War
      • 4.2.9.2. Israel-Hamas War
    • 4.2.10. COVID Impact / Related Factors
      • 4.2.10.1. Global Economic Impact
      • 4.2.10.2. Industry-specific Impact
      • 4.2.10.3. Government Response and Stimulus Measures
      • 4.2.10.4. Future Outlook and Adaptation Strategies
    • 4.2.11. Other Indicators
      • 4.2.11.1. Fiscal Policy
      • 4.2.11.2. Consumer Spending
      • 4.2.11.3. Gross Domestic Product (GDP)
      • 4.2.11.4. Employment
      • 4.2.11.5. Taxes
      • 4.2.11.6. R&D Innovation
      • 4.2.11.7. Stock Market Performance
      • 4.2.11.8. Supply Chain
      • 4.2.11.9. Cross-Border Dynamics

5. EXECUTIVE SUMMARY

6. INTRODUCTION

  • 6.1. Chapter Overview
  • 6.2. Overview of Artificial Intelligence Market
    • 6.2.1. Type of Offering
    • 6.2.2. Type of Technology
    • 6.2.3. Type of Deployment
    • 6.2.4. Type of Application
    • 6.2.5. Type of End User
  • 6.3. Future Perspective

7. COMPETITIVE LANDSCAPE

  • 7.1. Chapter Overview
  • 7.2. Artificial Intelligence: Overall Market Landscape
    • 7.2.1. Analysis by Year of Establishment
    • 7.2.2. Analysis by Company Size
    • 7.2.3. Analysis by Location of Headquarters
    • 7.2.4. Analysis by Ownership Structure

8. COMPANY PROFILES

  • 8.1. Chapter Overview
  • 8.2. Alibaba Cloud*
    • 8.2.1. Company Overview
    • 8.2.2. Company Mission
    • 8.2.3. Company Footprint
    • 8.2.4. Management Team
    • 8.2.5. Contact Details
    • 8.2.6. Financial Performance
    • 8.2.7. Operating Business Segments
    • 8.2.8. Service / Product Portfolio (project specific)
    • 8.2.9. MOAT Analysis
    • 8.2.10. Recent Developments and Future Outlook
  • 8.3. AMD
  • 8.4. AMD
  • 8.5. Arrow AI
  • 8.6. AWS
  • 8.7. Baidu
  • 8.8. BMI
  • 8.9. Cisco
  • 8.10. DeepL
  • 8.11. Dialpad
  • 8.12. Glean
  • 8.13. Google
  • 8.14. Golden Omega
  • 8.15. HPE
  • 8.16. HQE System
  • 8.17. Koninklijke
  • 8.18. Huawei
  • 8.19. Inbenta
  • 8.20. Intel
  • 8.21. Meta
  • 8.22. Microsoft
  • 8.23. Moveworks
  • 8.24. NVIDIA
  • 8.25. OpenAI
  • 8.26. Oracle
  • 8.27. Qualcomm
  • 8.28. Salesforce
  • 8.29. SAP
  • 8.30. Seimens

9. VALUE CHAIN ANALYSIS

10. SWOT ANALYSIS

11. GLOBAL ARTIFICIAL INTELLIGENCE MARKET

  • 11.1. Chapter Overview
  • 11.2. Key Assumptions and Methodology
  • 11.3. Trends Disruption Impacting Market
  • 11.4. Global Artificial Intelligence Market, Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 11.5. Multivariate Scenario Analysis
    • 11.5.1. Conservative Scenario
    • 11.5.2. Optimistic Scenario
  • 11.6. Key Market Segmentations

12. MARKET OPPORTUNITIES BASED ON TYPE OF OFFERING

  • 12.1. Chapter Overview
  • 12.2. Key Assumptions and Methodology
  • 12.3. Revenue Shift Analysis
  • 12.4. Market Movement Analysis
  • 12.5. Penetration-Growth (P-G) Matrix
  • 12.6. Artificial Intelligence Market for Hardware: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 12.7. Artificial Intelligence Market for Software: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 12.8. Artificial Intelligence Market for Services: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 12.9. Data Triangulation and Validation

13. MARKET OPPORTUNITIES BASED ON TYPE OF TECHNOLOGY

  • 13.1. Chapter Overview
  • 13.2. Key Assumptions and Methodology
  • 13.3. Revenue Shift Analysis
  • 13.4. Market Movement Analysis
  • 13.5. Penetration-Growth (P-G) Matrix
  • 13.6. Artificial Intelligence Market for Computer Vision: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 13.7. Artificial Intelligence Market for Context-Aware AI: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 13.8. Artificial Intelligence Market for Experts Systems: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 13.9. Artificial Intelligence Market for Machine Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 13.10. Artificial Intelligence Market for Natural Language Processing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 13.11. Artificial Intelligence Market for Robotics Process Automation: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 13.12. Data Triangulation and Validation

14. MARKET OPPORTUNITIES BASED ON TYPE OF DEPLOYMENT

  • 14.1 Chapter Overview
  • 14.2 Key Assumptions and Methodology
  • 14.3. Revenue Shift Analysis
  • 14.4. Market Movement Analysis
  • 14.5. Penetration-Growth (P-G) Matrix
  • 14.6. Artificial Intelligence Market for Cloud-Based: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 14.7. Artificial Intelligence Market for On-Premises: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 14.8. Data Triangulation and Validation

15. MARKET OPPORTUNITIES BASED ON TYPE OF APPLICATION

  • 15.1 Chapter Overview
  • 15.2 Key Assumptions and Methodology
  • 15.3. Revenue Shift Analysis
  • 15.4. Market Movement Analysis
  • 15.5. Penetration-Growth (P-G) Matrix
  • 15.6. Artificial Intelligence Market for Automated Customer Service: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 15.7. Artificial Intelligence Market for Fraud Detection & Risk Management: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 15.8. Artificial Intelligence Market for Healthcare Diagnostics: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 15.9. Artificial Intelligence Market for Marketing & Sales: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 15.10. Artificial Intelligence Market for Predictive Analytics: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 15.11. Artificial Intelligence Market for Robotics: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 15.12. Artificial Intelligence Market for Supply Chain Optimization: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 15.13. Data Triangulation and Validation

16. MARKET OPPORTUNITIES BASED ON TYPE OF END USER

  • 16.1. Chapter Overview
  • 16.2. Key Assumptions and Methodology
  • 16.3. Revenue Shift Analysis
  • 16.4. Market Movement Analysis
  • 16.5. Penetration-Growth (P-G) Matrix
  • 16.6. Artificial Intelligence Market for Automotive: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 16.7. Artificial Intelligence Market for BFSI: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 16.8. Artificial Intelligence Market for Energy & Utilities: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 16.9. Artificial Intelligence Market for Government: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 16.10. Artificial Intelligence Market for Healthcare: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 16.11. Artificial Intelligence Market for Manufacturing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 16.12. Artificial Intelligence Market for Retail & E-Commerce: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 16.13. Artificial Intelligence Market for Telecommunication: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 16.14. Artificial Intelligence Market for Others: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 16.15. Data Triangulation and Validation

17. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN NORTH AMERICA

  • 17.1. Chapter Overview
  • 17.2. Key Assumptions and Methodology
  • 17.3. Revenue Shift Analysis
  • 17.4. Market Movement Analysis
  • 17.5. Penetration-Growth (P-G) Matrix
  • 17.6. Artificial Intelligence Market in North America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 17.6.1. Artificial Intelligence Market in the US: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 17.6.2. Artificial Intelligence Market in Canada: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 17.6.3. Artificial Intelligence Market in Mexico: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 17.6.4. Artificial Intelligence Market in Other North American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 17.7. Data Triangulation and Validation

18. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN EUROPE

  • 18.1. Chapter Overview
  • 18.2. Key Assumptions and Methodology
  • 18.3. Revenue Shift Analysis
  • 18.4. Market Movement Analysis
  • 18.5. Penetration-Growth (P-G) Matrix
  • 18.6. Artificial Intelligence Market in Europe: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.1. Artificial Intelligence Market in Austria: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.2. Artificial Intelligence Market in Belgium: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.3. Artificial Intelligence Market in Denmark: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.4. Artificial Intelligence Market in France: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.5. Artificial Intelligence Market in Germany: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.6. Artificial Intelligence Market in Ireland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.7. Artificial Intelligence Market in Italy: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.8. Artificial Intelligence Market in Netherlands: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.9. Artificial Intelligence Market in Norway: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.10. Artificial Intelligence Market in Russia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.11. Artificial Intelligence Market in Spain: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.12. Artificial Intelligence Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.13. Artificial Intelligence Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.14. Artificial Intelligence Market in Switzerland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.15. Artificial Intelligence Market in the UK: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 18.6.16. Artificial Intelligence Marketing Other European Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.7. Data Triangulation and Validation

19. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN ASIA

  • 19.1. Chapter Overview
  • 19.2. Key Assumptions and Methodology
  • 19.3. Revenue Shift Analysis
  • 19.4. Market Movement Analysis
  • 19.5. Penetration-Growth (P-G) Matrix
  • 19.6. Artificial Intelligence Market in Asia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 19.6.1. Artificial Intelligence Market in China: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 19.6.2. Artificial Intelligence Market in India: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 19.6.3. Artificial Intelligence Market in Japan: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 19.6.4. Artificial Intelligence Market in Singapore: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 19.6.5. Artificial Intelligence Market in South Korea: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 19.6.6. Artificial Intelligence Market in Other Asian Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.7. Data Triangulation and Validation

20. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN MIDDLE EAST AND NORTH AFRICA (MENA)

  • 20.1. Chapter Overview
  • 20.2. Key Assumptions and Methodology
  • 20.3. Revenue Shift Analysis
  • 20.4. Market Movement Analysis
  • 20.5. Penetration-Growth (P-G) Matrix
  • 20.6. Artificial Intelligence Market in Middle East and North Africa (MENA): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 20.6.1. Artificial Intelligence Market in Egypt: Historical Trends (Since 2019) and Forecasted Estimates (Till 205)
    • 20.6.2. Artificial Intelligence Market in Iran: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 20.6.3. Artificial Intelligence Market in Iraq: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 20.6.4. Artificial Intelligence Market in Israel: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 20.6.5. Artificial Intelligence Market in Kuwait: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 20.6.6. Artificial Intelligence Market in Saudi Arabia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 20.6.7. Artificial Intelligence Market in United Arab Emirates (UAE): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 20.6.8. Artificial Intelligence Market in Other MENA Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.7. Data Triangulation and Validation

21. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN LATIN AMERICA

  • 21.1. Chapter Overview
  • 21.2. Key Assumptions and Methodology
  • 21.3. Revenue Shift Analysis
  • 21.4. Market Movement Analysis
  • 21.5. Penetration-Growth (P-G) Matrix
  • 21.6. Artificial Intelligence Market in Latin America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 21.6.1. Artificial Intelligence Market in Argentina: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 21.6.2. Artificial Intelligence Market in Brazil: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 21.6.3. Artificial Intelligence Market in Chile: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 21.6.4. Artificial Intelligence Market in Colombia Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 21.6.5. Artificial Intelligence Market in Venezuela: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 21.6.6. Artificial Intelligence Market in Other Latin American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.7. Data Triangulation and Validation

22. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN REST OF THE WORLD

  • 22.1. Chapter Overview
  • 22.2. Key Assumptions and Methodology
  • 22.3. Revenue Shift Analysis
  • 22.4. Market Movement Analysis
  • 22.5. Penetration-Growth (P-G) Matrix
  • 22.6. Artificial Intelligence Market in Rest of the World: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 22.6.1. Artificial Intelligence Market in Australia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 22.6.2. Artificial Intelligence Market in New Zealand: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
    • 22.6.3. Artificial Intelligence Market in Other Countries
  • 22.7. Data Triangulation and Validation

23. TABULATED DATA

24. LIST OF COMPANIES AND ORGANIZATIONS

25. CUSTOMIZATION OPPORTUNITIES

26. ROOTS SUBSCRIPTION SERVICES

27. AUTHOR DETAIL

List of Tables

    • 24.6.2. Middle East and Africa Battery Management System Market for Electric Vehicles (Value, YoY Growth): Historical Trends (Since 2018) and Forecasted Estimates (Till 2035)
    • 24.6.3. Middle East and Africa Battery Management System Market for Renewable En