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市场调查报告书
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1970078

2026年全球人工智慧（AI）工程市场报告

Artificial Intelligence (AI) Engineering Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，人工智慧（AI）工程市场发展迅速。预计该市场规模将从2025年的213.9亿美元成长到2026年的299.9亿美元，复合年增长率（CAGR）高达40.2%。推动这一成长的因素包括：数据驱动决策的普及、企业加速采用人工智慧、云端运算的广泛应用、自动化倡议的增加以及巨量资料可用性的提高。

预计未来几年人工智慧（AI）工程市场将快速成长，到2030年将达到1,176.8亿美元，复合年增长率（CAGR）为40.7%。预测期内的成长预计将受到企业级AI应用、对AI管治框架的需求、不断增长的AI人才需求、AI在业务流程中的整合以及AI即服务产品成长的推动。预测期内的关键趋势包括端对端AI模型开发、AI系统整合服务、可扩展的机器学习平台、基于云端的AI应用框架以及AI生命週期管理实践。

自动化技术的快速普及预计将在未来几年推动人工智慧（AI）工程市场的扩张。自动化是指开发和应用能够以最小的人工干预生产和交付产品及服务的技术。在人工智慧工程领域，自动化能够加速开发、提高效率并简化流程，从而促进人工智慧技术在各行各业的广泛应用。例如，根据总部位于德国的非营利组织国际机器人联合会（IFR）于2024年9月发布的报告，2023年全球工业机器人装机量超过541,302台，其中中国占276,288台（占全球整体的51%），中国製造商的国内市场份额从2022年起增长至47%。因此，自动化技术的快速普及正在推动人工智慧（AI）工程市场的成长。

人工智慧（AI）工程市场的主要企业正致力于开发先进的AI驱动解决方案，以提升市场盈利。生成式人工智慧是指无需明确程式设计即可产生新内容和资料的AI系统。例如，总部位于美国的下一代产品工程公司Encora Digital于2023年5月实施了生成式AI技术实践，以加速领先科技公司的创新週期。此倡议优化了核心软体工程、使用者介面设计和品质工程，同时显着缩短了调试、程式码优化、自动化测试和缺陷预测所需的时间。 Encora致力于提升客户的生产力、速度和质量，并支援生成式AI在各个业务领域的广泛应用。

目录

第一章：执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球人工智慧（AI）工程市场：吸引力评分及分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 数位化、云端运算、巨量资料、网路安全
    • 工业4.0和智慧製造
    • 物联网、智慧基础设施、互联生态系统
    • 自主系统、机器人、智慧运输
  • 主要趋势
    • 端到端人工智慧模型开发
    • 人工智慧系统整合服务
    • 可扩展的机器学习平台
    • 基于云端的AI部署框架
    • 人工智慧生命週期管理的实际应用

第五章 终端用户产业市场分析

  • 卫生保健
  • 汽车和交通运输
  • 农业
  • 资讯科技（IT）
  • 商业管理

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球人工智慧（AI）工程市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球人工智慧（AI）工程市场规模、对比及成长率分析
  • 全球人工智慧（AI）工程市场表现：规模与成长，2020-2025年
  • 全球人工智慧（AI）工程市场预测：规模与成长，2025-2030年，2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 透过解决方案
  • 硬体、软体、服务
  • 透过技术
  • 深度学习、机器学习、自然语言处理、电脑视觉
  • 不同的发展
  • 云端部署，本地部署
  • 最终用户
  • 医疗保健、汽车和运输、农业、资讯科技 (IT)、工商管理及其他最终用户
  • 按类型细分：硬体
  • 人工智慧处理器、边缘设备、伺服器
  • 按类型细分：软体
  • 人工智慧框架与库、机器学习平台、自然语言处理软体、电脑视觉软体
  • 按类型细分：服务
  • 人工智慧咨询服务、整合服务、维护与支援服务、培训服务

第十章各国市场/产业指标

第十一章 区域与国别分析

  • 全球人工智慧（AI）工程市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球人工智慧（AI）工程市场：按国家/地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 人工智慧（AI）工程市场：竞争格局与市场份额，2024 年
  • 人工智慧（AI）工程市场：公司估值矩阵
  • 人工智慧（AI）工程市场：公司概况
    • Alphabet Inc.
    • Microsoft Corporation
    • Meta Platform Inc.
    • Dell Technologies Inc.
    • Huawei Technologies Co. Ltd.

第38章 其他大型企业和创新企业

  • Sony Group Corporation, Tencent Holdings Limited, Amazon Web Services Inc., Siemens AG, General Electric Company, Intel Corporation, Accenture LLP, International Business Machines Corporation, Samsung Electronics Co. Ltd., Cisco System Inc., Qualcomm Incorporated, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Company, Nvidia Corporation

第39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年人工智慧（AI）工程市场：提供新机会的国家
  • 2030年人工智慧（AI）工程市场：新兴细分市场机会
  • 2030年人工智慧（AI）工程市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT3MAIAE01_G26Q1

Artificial intelligence engineering is a field dedicated to developing tools, systems, and processes that facilitate the practical application of artificial intelligence. AI engineers play a pivotal role in constructing AI models, formulating algorithms, and employing AI technologies to address intricate problems and facilitate data-driven decision-making.

The primary categories of solutions in artificial intelligence (AI) engineering encompass hardware, software, and services. Hardware refers to the physical components of a computing system or other electronic devices. Various technologies, including deep learning, machine learning, natural language processing, and computer vision, are implemented through diverse deployments such as on-cloud and on-premises. These technologies find application across various sectors, including healthcare, automotive and transportation, agriculture, information technology (IT), business management, among others.

Tariffs have indirectly impacted the AI engineering market by increasing costs of imported servers, edge devices, and computing hardware. On premise deployment models are more affected due to infrastructure dependency. Regions relying on imported IT equipment face higher project implementation costs. These pressures are driving faster adoption of cloud based AI engineering solutions. Tariffs are also encouraging localized AI service development and regional technology ecosystems.

The artificial intelligence (AI) engineering market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) engineering market statistics, including artificial intelligence (AI) engineering industry global market size, regional shares, competitors with a artificial intelligence (AI) engineering market share, detailed artificial intelligence (AI) engineering market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) engineering industry. This artificial intelligence (AI) engineering market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) engineering market size has grown exponentially in recent years. It will grow from $21.39 billion in 2025 to $29.99 billion in 2026 at a compound annual growth rate (CAGR) of 40.2%. The growth in the historic period can be attributed to growth of data driven decision making, early enterprise AI adoption, expansion of cloud computing, rise of automation initiatives, increasing availability of big data.

The artificial intelligence (AI) engineering market size is expected to see exponential growth in the next few years. It will grow to $117.68 billion in 2030 at a compound annual growth rate (CAGR) of 40.7%. The growth in the forecast period can be attributed to enterprise wide AI implementation, demand for AI governance frameworks, expansion of AI talent requirements, integration of AI across business processes, growth of AI as a service offerings. Major trends in the forecast period include end to end AI model development, AI system integration services, scalable machine learning platforms, cloud based AI deployment frameworks, AI lifecycle management practices.

The swift adoption of automation is anticipated to drive the expansion of the artificial intelligence (AI) engineering market in the coming years. Automation involves the creation and application of technology to produce and deliver goods and services with minimal human involvement. In the AI engineering domain, automation accelerates development, boosts efficiency, and simplifies processes, leading to the widespread integration of AI technologies across multiple industries. For instance, in September 2024, the International Federation of Robotics, a Germany-based non-profit organization, reported that global industrial robot installations surpassed 541,302 units in 2023, with China accounting for 276,288 units-representing 51% of worldwide installations-and Chinese manufacturers increasing their domestic market share to 47% from 2022. Thus, the rapid uptake of automation is fueling the growth of the Artificial Intelligence (AI) Engineering market.

Major companies operating in the artificial intelligence (AI) engineering market are concentrating on developing advanced AI-driven solutions to enhance their market profitability. Generative Artificial Intelligence refers to a category of AI systems capable of producing new content or data without being explicitly programmed. For example, in May 2023, Encora Digital LLC, a US-based next-generation product engineering company, introduced its Generative AI Technology Practice to accelerate innovation cycles for advanced technology firms. This initiative optimizes core software engineering, UI design, and quality engineering while delivering substantial time savings in debugging, code optimization, automated testing, and defect prediction. Encora's focus is on improving client productivity, speed, and quality, supporting the broad adoption of Generative AI across various business sectors.

In December 2024, EPAM Systems Inc., a US-based digital engineering and product transformation company, acquired First Derivative for an undisclosed amount. With this acquisition, EPAM seeks to strengthen its artificial intelligence (AI) engineering capabilities by combining First Derivative's expertise in machine learning, robotic process automation, and real-time data platforms, especially within financial services and regulated industries. First Derivative is a Northern Ireland-based managed services and consulting firm that delivers AI-enabled data and technology solutions for capital markets.

Major companies operating in the artificial intelligence (AI) engineering market are Alphabet Inc.; Microsoft Corporation; Meta Platform Inc.; Dell Technologies Inc.; Huawei Technologies Co. Ltd.; Sony Group Corporation; Tencent Holdings Limited; Amazon Web Services Inc.; Siemens AG; General Electric Company; Intel Corporation; Accenture LLP; International Business Machines Corporation; Samsung Electronics Co. Ltd.; Cisco System Inc.; Qualcomm Incorporated; Oracle Corporation; SAP SE; Hewlett Packard Enterprise Company; Nvidia Corporation; Salesforce Inc.; Capgemini SE; Cognizant Technology Solutions Corporation; Infosys Limited; Baidu Inc.; Alibaba Cloud; Zebra Technologies Corporation; Palantir Technologies Inc.; UiPath Inc.; Verint Systems Inc.

North America was the largest region in the artificial intelligence (AI) engineering market in 2025. The regions covered in the artificial intelligence (AI) engineering market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) engineering market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The artificial intelligence (AI) engineering market consists of revenues earned by entities through AI solution development, AI integration and deployment, and supervised learning. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) engineering market also includes sales of graphics processing units (GPU), application-specific integrated circuits (ASIC), and central processing units (CPU). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) Engineering Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence (AI) engineering market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for artificial intelligence (AI) engineering ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (AI) engineering market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Solution: Hardware; Software; Services
  • 2) By Technology: Deep Learning; Machine Learning; Natural Language Processing; Computer Vision
  • 3) By Deployment: On-Cloud; On-Premise
  • 4) By End-User: Healthcare; Automotive And Transportation; Agriculture; Information Technology (IT); Business Management; Other End-Users
  • Subsegments:
  • 1) By Hardware: AI Processors; Edge Devices; Servers
  • 2) By Software: AI Frameworks And Libraries; Machine Learning Platforms; Natural Language Processing Software; Computer Vision Software
  • 3) By Services: AI Consulting Services; Integration Services; Maintenance And Support Services; Training Services
  • Companies Mentioned: Alphabet Inc.; Microsoft Corporation; Meta Platform Inc.; Dell Technologies Inc.; Huawei Technologies Co. Ltd.; Sony Group Corporation; Tencent Holdings Limited; Amazon Web Services Inc.; Siemens AG; General Electric Company; Intel Corporation; Accenture LLP; International Business Machines Corporation; Samsung Electronics Co. Ltd.; Cisco System Inc.; Qualcomm Incorporated; Oracle Corporation; SAP SE; Hewlett Packard Enterprise Company; Nvidia Corporation; Salesforce Inc.; Capgemini SE; Cognizant Technology Solutions Corporation; Infosys Limited; Baidu Inc.; Alibaba Cloud; Zebra Technologies Corporation; Palantir Technologies Inc.; UiPath Inc.; Verint Systems Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
  • + Excel Dashboard
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Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence (AI) Engineering Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence (AI) Engineering Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence (AI) Engineering Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Artificial Intelligence (AI) Engineering Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.3 Industry 4.0 & Intelligent Manufacturing
    • 4.1.4 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.5 Autonomous Systems, Robotics & Smart Mobility
  • 4.2. Major Trends
    • 4.2.1 End To End AI Model Development
    • 4.2.2 AI System Integration Services
    • 4.2.3 Scalable Machine Learning Platforms
    • 4.2.4 Cloud Based AI Deployment Frameworks
    • 4.2.5 AI Lifecycle Management Practices

5. Artificial Intelligence (AI) Engineering Market Analysis Of End Use Industries

  • 5.1 Healthcare
  • 5.2 Automotive And Transportation
  • 5.3 Agriculture
  • 5.4 Information Technology (It)
  • 5.5 Business Management

6. Artificial Intelligence (AI) Engineering Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence (AI) Engineering Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Artificial Intelligence (AI) Engineering PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Artificial Intelligence (AI) Engineering Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Artificial Intelligence (AI) Engineering Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Artificial Intelligence (AI) Engineering Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence (AI) Engineering Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence (AI) Engineering Market Segmentation

  • 9.1. Global Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hardware, Software, Services
  • 9.2. Global Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Deep Learning, Machine Learning, Natural Language Processing, Computer Vision
  • 9.3. Global Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • On-Cloud, On-Premise
  • 9.4. Global Artificial Intelligence (AI) Engineering Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Healthcare, Automotive And Transportation, Agriculture, Information Technology (IT), Business Management, Other End-Users
  • 9.5. Global Artificial Intelligence (AI) Engineering Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI Processors, Edge Devices, Servers
  • 9.6. Global Artificial Intelligence (AI) Engineering Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI Frameworks And Libraries, Machine Learning Platforms, Natural Language Processing Software, Computer Vision Software
  • 9.7. Global Artificial Intelligence (AI) Engineering Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI Consulting Services, Integration Services, Maintenance And Support Services, Training Services

10. Artificial Intelligence (AI) Engineering Market, Industry Metrics By Country

  • 10.1. Global Artificial Intelligence (AI) Engineering Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Artificial Intelligence (AI) Engineering Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Artificial Intelligence (AI) Engineering Market Regional And Country Analysis

  • 11.1. Global Artificial Intelligence (AI) Engineering Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Artificial Intelligence (AI) Engineering Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Artificial Intelligence (AI) Engineering Market

  • 12.1. Asia-Pacific Artificial Intelligence (AI) Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Artificial Intelligence (AI) Engineering Market

  • 13.1. China Artificial Intelligence (AI) Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Artificial Intelligence (AI) Engineering Market

  • 14.1. India Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Artificial Intelligence (AI) Engineering Market

  • 15.1. Japan Artificial Intelligence (AI) Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Artificial Intelligence (AI) Engineering Market

  • 16.1. Australia Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Artificial Intelligence (AI) Engineering Market

  • 17.1. Indonesia Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Artificial Intelligence (AI) Engineering Market

  • 18.1. South Korea Artificial Intelligence (AI) Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Artificial Intelligence (AI) Engineering Market

  • 19.1. Taiwan Artificial Intelligence (AI) Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Artificial Intelligence (AI) Engineering Market

  • 20.1. South East Asia Artificial Intelligence (AI) Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Artificial Intelligence (AI) Engineering Market

  • 21.1. Western Europe Artificial Intelligence (AI) Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Artificial Intelligence (AI) Engineering Market

  • 22.1. UK Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Artificial Intelligence (AI) Engineering Market

  • 23.1. Germany Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Artificial Intelligence (AI) Engineering Market

  • 24.1. France Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Artificial Intelligence (AI) Engineering Market

  • 25.1. Italy Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Artificial Intelligence (AI) Engineering Market

  • 26.1. Spain Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Artificial Intelligence (AI) Engineering Market

  • 27.1. Eastern Europe Artificial Intelligence (AI) Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Artificial Intelligence (AI) Engineering Market

  • 28.1. Russia Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Artificial Intelligence (AI) Engineering Market

  • 29.1. North America Artificial Intelligence (AI) Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Artificial Intelligence (AI) Engineering Market

  • 30.1. USA Artificial Intelligence (AI) Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Artificial Intelligence (AI) Engineering Market

  • 31.1. Canada Artificial Intelligence (AI) Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Artificial Intelligence (AI) Engineering Market

  • 32.1. South America Artificial Intelligence (AI) Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Artificial Intelligence (AI) Engineering Market

  • 33.1. Brazil Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Artificial Intelligence (AI) Engineering Market

  • 34.1. Middle East Artificial Intelligence (AI) Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Artificial Intelligence (AI) Engineering Market

  • 35.1. Africa Artificial Intelligence (AI) Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Artificial Intelligence (AI) Engineering Market Regulatory and Investment Landscape

37. Artificial Intelligence (AI) Engineering Market Competitive Landscape And Company Profiles

  • 37.1. Artificial Intelligence (AI) Engineering Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Artificial Intelligence (AI) Engineering Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Artificial Intelligence (AI) Engineering Market Company Profiles
    • 37.3.1. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Meta Platform Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis

38. Artificial Intelligence (AI) Engineering Market Other Major And Innovative Companies

  • Sony Group Corporation, Tencent Holdings Limited, Amazon Web Services Inc., Siemens AG, General Electric Company, Intel Corporation, Accenture LLP, International Business Machines Corporation, Samsung Electronics Co. Ltd., Cisco System Inc., Qualcomm Incorporated, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Company, Nvidia Corporation

39. Global Artificial Intelligence (AI) Engineering Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The Artificial Intelligence (AI) Engineering Market

41. Artificial Intelligence (AI) Engineering Market High Potential Countries, Segments and Strategies

  • 41.1. Artificial Intelligence (AI) Engineering Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Artificial Intelligence (AI) Engineering Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Artificial Intelligence (AI) Engineering Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer