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市场调查报告书
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2025年全球人工智慧（AI）工程市场报告

Artificial Intelligence (AI) Engineering Global Market Report 2025
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

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简介目录

近年来，人工智慧（AI）工程市场发展迅速，预计将从2024年的156.7亿美元成长到2025年的213.9亿美元，复合年增长率达36.5%。这段时期的成长归功于运算能力的提升、巨量资料可用性的提高、自动化需求的成长以及云端运算的扩张。

预计未来几年人工智慧（AI）工程市场将呈指数级增长，到2029年市场规模将达到833亿美元，年复合成长率（CAGR）高达40.5%。预测期内的成长主要归功于对人工智慧驱动的网路安全解决方案的需求、边缘运算的蓬勃发展、人工智慧在医疗保健领域的应用拓展以及人工智慧在客户服务中日益广泛的应用。预测期内的关键趋势包括可解释人工智慧的发展、人工智慧在药物研发和医疗保健研究中的兴起、人工智慧在人力资源领域的应用日益广泛、人工智慧主导的设计和创建工具的涌现，以及对符合伦理规范的人工智慧开发的日益重视。

人工智慧工程是一个致力于开发工具、系统和流程的领域，旨在实用化。人工智慧工程师在建立人工智慧模型、制定演算法以及运用人工智慧技术解决复杂问题和促进数据驱动决策方面发挥关键作用。

人工智慧（AI）工程解决方案主要分为硬体、软体和服务三大类。硬体指的是计算系统和其他电子设备的实体组件。深度学习、机器学习、自然语言处理和电脑视觉等各种技术，可透过多种配置实现，包括云端部署和本地部署。这些技术应用于医疗保健、汽车和交通、农业、资讯科技（IT）以及商业管理等多个领域。

美国在2025年春季突然提高关税及其引发的贸易摩擦，对资讯科技产业，特别是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税上涨，推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司，面临更长的前置作业时间和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该产业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性，更有效地控製成本。

本研究报告是商业研究公司（The Business Research Company）全新系列报告的一部分，该系列报告提供人工智慧（AI）工程市场统计数据，例如全球市场规模、区域份额、人工智慧（AI）工程市场份额的竞争对手、详细的人工智慧（AI）工程市场细分、市场趋势和机会，以及在人工智慧（AI）工程行业取得成功所需的数据。本人工智慧（AI）工程市场研究报告对该行业的现状和未来发展趋势进行了详细分析，为您提供所需的一切全面观点。

未来五年40.5%的预测成长率较我们先前对该市场的预测略微下降了0.2%。这一下降主要归因于美国与其他国家之间的关税影响。从荷兰进口的高效能运算（HPC）硬体征收的关税可能会直接影响美国，增加人工智慧新兴企业的研发成本。此外，由于互惠关税以及贸易紧张局势和限制加剧对全球经济和贸易的负面影响，这种影响也将更加广泛。

预计未来几年，自动化技术的快速普及将推动人工智慧（AI）工程市场的成长。自动化是指利用科技以最小的人工干预来生产和分销商品及服务。在人工智慧工程领域，自动化能够加速开发、提高生产力并简化流程，促使人工智慧技术在各行各业得到广泛应用。例如，总部位于德国的非营利组织国际机器人联合会（IFR）在2024年4月发布报告称，到2023年，工业机器人的总装置量将成长12%，达到44,303台。因此，自动化技术的快速普及正在推动人工智慧（AI）工程市场向前发展。

预计未来云端基础应用的日益普及将推动人工智慧（AI）工程市场的成长。云端基础应用，也称为云端应用程式或SaaS（软体即服务），是指透过网际网路交付的软体程式或服务。人工智慧工程透过提供自动化、分析、增强安全性和提升使用者体验等功能来增强云端基础应用。例如，总部位于比利时的欧盟委员会在2023年12月发布的报告显示，2021年至2023年间，欧盟使用云端处理服务的企业比例增加了4.2个百分点。因此，云端基础应用的日益普及正在推动人工智慧（AI）工程市场的成长。

技术进步是人工智慧（AI）工程市场的一大趋势，领先企业纷纷采用新技术以巩固其市场地位。例如，2023年3月，地理空间技术公司Mach9 Robotics Inc.推出了一款创新的地理空间生产软体，该软体利用电脑视觉和人工智慧技术快速产生二维和三维CAD工程交付物。这种从硬体优先到软体优先的经营模式转变，满足了基础设施管理领域对加速地理空间资料处理和分析工具日益增长的需求，也凸显了技术进步在推动市场成长的重要性。

人工智慧（AI）工程市场的企业正致力于开发创新的AI解决方案以提高盈利。无需显式程式设计即可产生新内容和资料的生成式AI正日益普及。 2023年5月，Encora Digital LLC成立了生成式AI技术实务部门，旨在加速高科技企业的创新週期。该部门简化了核心软体工程、使用者介面设计和品质工程流程，显着缩短了调试、程式码优化、测试案例自动化和缺陷预测所需的时间。这项以创新和生产力为核心的策略倡议，正在推动生成式AI在各个业务领域的广泛应用。

2022年12月，Tecnotree Corporation收购了CognitiveScale Inc.，旨在利用其人工智慧和机器学习能力，增强其在5G数位业务支援系统领域的地位。此次收购也使其获得了Cortex人工智慧工程平台的使用权，从而拓展了电信、医疗保健和金融服务领域的应用案例，并提升了整体客户体验。 CognitiveScale Inc.是一家知名的人工智慧工程公司，在为金融服务、医疗保健和电子商务企业提供人工智慧解决方案方面拥有丰富的经验，为Tecnotree Corporation带来了宝贵的专业知识。

工业（AI）工程市场的主要参与者包括：Alphabet Inc.、微软公司、Meta Platform Inc.、戴尔科技公司、华为技术有限公司、SONY集团公司、腾讯有限公司、亚马逊网路服务公司、西门子公司、通用电气公司、英特尔公司、埃森哲有限责任合伙公司、国际商业机器公司、三星电子公司、通用电气公司、英特尔公司、埃森哲有限公司控股有限公司、国际商业机器公司、三星电子公司、通用电气公司、高通公司、Apforce 公司、STO、STO、STO、ApAP、AMforce公司、SAPforce、STO、SAP、SAP； Inc.、凯捷公司、Cognizant Technology Solutions Corporation、Infosys Limited、百度公司、阿里云、斑马技术公司、Palantir Technologies Inc.、UiPath Inc.和Verint Systems Inc.。

预计到2024年，北美将成为人工智慧（AI）工程市场最大的区域。本人工智慧（AI）工程市场报告涵盖的区域包括亚太地区、西欧、东欧、北美、南美、中东和非洲。

人工智慧（AI）工程市场报告涵盖的国家包括澳洲、巴西、中国、法国、德国、印度、印尼、日本、俄罗斯、韩国、英国、美国、义大利、西班牙和加拿大。

人工智慧（AI）工程市场包括营业单位透过AI解决方案开发、AI整合与部署以及监督学习所获得的收入。市场价值包含服务供应商销售的相关产品或包含在其服务产品中的相关产品的价值。人工智慧（AI）工程市场还包括图形处理器（GPU）、专用积体电路（ASIC）和中央处理器（CPU）的销售。该市场的价值为“出厂价”，即产品製造商或创造者销售给其他营业单位（包括下游製造商、经销商和零售商）或直接销售给最终客户的产品的价值。该市场的产品价值还包括产品创造者销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 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，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧（AI）工程：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球人工智慧（AI）工程市场：成长率分析
  • 全球人工智慧（AI）工程市场表现：规模与成长，2019-2024年
  • 全球人工智慧（AI）工程市场预测：规模与成长，2024-2029年，2034年预测
  • 全球人工智慧（AI）工程：潜在市场规模（TAM）

第六章 市场细分

  • 全球人工智慧（AI）工程市场：按解决方案划分，实际结果和预测，2019-2024年、2024-2029年预测、2034年预测
  • 硬体
  • 软体
  • 服务
  • 全球人工智慧（AI）工程市场：依技术、性能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 深度学习
  • 机器学习
  • 自然语言处理
  • 电脑视觉
  • 全球人工智慧（AI）工程市场：依部署、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 在云端
  • 本地部署
  • 全球人工智慧（AI）工程市场：依最终用户划分，实际值和预测值，2019-2024年、2024-2029年预测值、2034年预测值
  • 卫生保健
  • 汽车与运输
  • 农业
  • 资讯科技（IT）
  • 企业管理
  • 其他最终用户
  • 全球人工智慧（AI）工程市场：细分市场、硬体（按类型）、效能及预测，2019-2024年、2024-2029年预测、2034年预测
  • 人工智慧处理器
  • 边缘设备
  • 伺服器
  • 全球人工智慧（AI）工程市场：细分市场、软体（按类型）、效能和预测，2019-2024年、2024-2029年预测、2034年预测
  • 人工智慧框架和函式库
  • 机器学习平台
  • 自然语言处理软体
  • 电脑视觉软体
  • 全球人工智慧（AI）工程市场：细分、服务（按类型）、效能与预测，2019-2024年、2024-2029年预测、2034年预测
  • 人工智慧咨询服务
  • 整合服务
  • 维护和支援服务
  • 培训服务

第七章 区域和国家分析

  • 全球人工智慧（AI）工程市场：区域表现及预测，2019-2024年、2024-2029年预测、2034年预测
  • 全球人工智慧（AI）工程市场：按国家、性能和预测划分，2019-2024 年、2024-2029 年预测、2034 年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 人工智慧（AI）工程市场：竞争格局
  • 人工智慧（AI）工程市场：公司概况
    • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Meta Platform Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • 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32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年人工智慧（AI）工程市场：提供新机会的国家
  • 2029年人工智慧（AI）工程市场：新兴机会细分领域
  • 2029年人工智慧（AI）工程市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r24674u

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.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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 the artificial intelligence (AI) engineering industry's global market size, regional shares, competitors with 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 scenarios of the industry.

The artificial intelligence (ai) engineering market size has grown exponentially in recent years. It will grow from $15.67 billion in 2024 to $21.39 billion in 2025 at a compound annual growth rate (CAGR) of 36.5%. The growth in the historic period can be attributed to increased computing power, growing availability of big data, rising demand for automation, and expansion of cloud computing.

The artificial intelligence (ai) engineering market size is expected to see exponential growth in the next few years. It will grow to $83.3 billion in 2029 at a compound annual growth rate (CAGR) of 40.5%. The growth in the forecast period can be attributed to demand for AI-powered cybersecurity solutions, growth in edge computing, expansion of AI in healthcare applications, and increasing use of AI in customer service. Major trends in the forecast period include the development of explainable AI, the rise of AI in drug discovery and healthcare research, increased use of AI in human resources, the emergence of AI-driven design and creativity tools, growing focus on ethical AI development.

The forecast of 40.5% growth over the next five years reflects a modest reduction of 0.2% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by increasing R&D costs for AI startups due to tariffs on high-performance computing (HPC) hardware imported from the Netherlands. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The rapid adoption of automation is anticipated to drive the growth of the artificial intelligence (AI) engineering market in the coming years. Automation refers to the use of technology to manufacture and distribute goods and services with minimal human intervention. In the AI engineering sector, automation accelerates development, boosts productivity, and streamlines processes, leading to widespread adoption of AI technology across various industries. For example, in April 2024, the International Federation of Robotics, a Germany-based non-profit organization, reported that the total number of industrial robot installations rose by 12%, reaching 44,303 units in 2023. Thus, the rapid adoption of automation is propelling the artificial intelligence (AI) engineering market forward.

The increased use of cloud-based applications is expected to drive the growth of the artificial intelligence (AI) engineering market in the future. Cloud-based applications, also referred to as cloud applications or software as a service (SaaS), are software programs and services delivered over the Internet. AI engineering enhances cloud-based applications by providing capabilities such as automation, analytics, security improvements, and enhanced user experiences. For example, in December 2023, the European Commission, a Belgium-based government entity, reported that between 2021 and 2023, the percentage of businesses in the EU using cloud computing services grew by 4.2 percentage points. Therefore, the increased adoption of cloud-based applications is fueling the growth of the artificial intelligence (AI) engineering market.

Technological advancement is a prominent trend in the artificial intelligence (AI) engineering market, with major companies adopting new technologies to maintain their market positions. For example, in March 2023, Mach9 Robotics Inc., a geospatial technology company, launched innovative geospatial production software that utilizes computer vision and AI for the rapid generation of 2D and 3D CAD engineering deliverables. This shift from a hardware-first to a software-first business model addresses the increasing demand for tools that expedite the processing and analysis of geospatial data for infrastructure management, illustrating the significance of technological advancements in driving market growth.

Companies in the artificial intelligence (AI) engineering market are focused on developing innovative AI-based solutions to enhance profitability. Generative Artificial Intelligence, capable of generating new content or data not explicitly programmed, is gaining traction. In May 2023, Encora Digital LLC introduced its Generative AI Technology Practice, aimed at accelerating innovation cycles for tech firms. This practice streamlines core software engineering, UI design, and quality engineering, offering substantial time savings in debugging, code optimization, test case automation, and bug forecasting. This strategic focus on innovation and productivity is contributing to the widespread adoption of Generative AI across various business domains.

In December 2022, Tecnotree Corporation acquired CognitiveScale Inc. to strengthen its position in 5G digital business support systems with AI and machine learning capabilities. The acquisition also provided access to the Cortex AI engineering platform, enhancing use cases in telecom, healthcare, and financial services, thereby improving overall customer experiences. CognitiveScale Inc., a prominent AI engineering company, brought valuable expertise in providing AI solutions for financial services, healthcare, and e-commerce businesses to Tecnotree Corporation.

Major companies operating in the artificial intelligence (AI) engineering market include 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 2024. The regions covered in the artificial intelligence (ai) engineering market report are Asia-Pacific, 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, Russia, South Korea, UK, USA, Italy, Spain, Canada.

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 Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on 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.

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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, competitive landscape, market shares, 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.
  • 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 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.

  • 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.
  • 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 trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

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; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; 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: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) Engineering Market Characteristics

3. Artificial Intelligence (AI) Engineering Market Trends And Strategies

4. Artificial Intelligence (AI) Engineering Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Artificial Intelligence (AI) Engineering Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Artificial Intelligence (AI) Engineering PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Artificial Intelligence (AI) Engineering Market Growth Rate Analysis
  • 5.4. Global Artificial Intelligence (AI) Engineering Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Artificial Intelligence (AI) Engineering Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Artificial Intelligence (AI) Engineering Total Addressable Market (TAM)

6. Artificial Intelligence (AI) Engineering Market Segmentation

  • 6.1. Global Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • Services
  • 6.2. Global Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • 6.3. Global Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Cloud
  • On-Premise
  • 6.4. Global Artificial Intelligence (AI) Engineering Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Healthcare
  • Automotive And Transportation
  • Agriculture
  • Information Technology (IT)
  • Business Management
  • Other End-Users
  • 6.5. Global Artificial Intelligence (AI) Engineering Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Processors
  • Edge Devices
  • Servers
  • 6.6. Global Artificial Intelligence (AI) Engineering Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Frameworks And Libraries
  • Machine Learning Platforms
  • Natural Language Processing Software
  • Computer Vision Software
  • 6.7. Global Artificial Intelligence (AI) Engineering Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Consulting Services
  • Integration Services
  • Maintenance And Support Services
  • Training Services

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

  • 7.1. Global Artificial Intelligence (AI) Engineering Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Intelligence (AI) Engineering Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 8.1. 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
  • 8.2. Asia-Pacific Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence (AI) Engineering Market

  • 9.1. China Artificial Intelligence (AI) Engineering Market Overview
  • 9.2. China Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence (AI) Engineering Market

  • 10.1. India Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence (AI) Engineering Market

  • 11.1. Japan Artificial Intelligence (AI) Engineering Market Overview
  • 11.2. Japan Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence (AI) Engineering Market

  • 12.1. Australia Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence (AI) Engineering Market

  • 13.1. Indonesia Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence (AI) Engineering Market

  • 14.1. South Korea Artificial Intelligence (AI) Engineering Market Overview
  • 14.2. South Korea Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence (AI) Engineering Market

  • 15.1. Western Europe Artificial Intelligence (AI) Engineering Market Overview
  • 15.2. Western Europe Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence (AI) Engineering Market

  • 16.1. UK Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence (AI) Engineering Market

  • 17.1. Germany Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence (AI) Engineering Market

  • 18.1. France Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence (AI) Engineering Market

  • 19.1. Italy Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence (AI) Engineering Market

  • 20.1. Spain Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence (AI) Engineering Market

  • 21.1. Eastern Europe Artificial Intelligence (AI) Engineering Market Overview
  • 21.2. Eastern Europe Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence (AI) Engineering Market

  • 22.1. Russia Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence (AI) Engineering Market

  • 23.1. North America Artificial Intelligence (AI) Engineering Market Overview
  • 23.2. North America Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence (AI) Engineering Market

  • 24.1. USA Artificial Intelligence (AI) Engineering Market Overview
  • 24.2. USA Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence (AI) Engineering Market

  • 25.1. Canada Artificial Intelligence (AI) Engineering Market Overview
  • 25.2. Canada Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence (AI) Engineering Market

  • 26.1. South America Artificial Intelligence (AI) Engineering Market Overview
  • 26.2. South America Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence (AI) Engineering Market

  • 27.1. Brazil Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence (AI) Engineering Market

  • 28.1. Middle East Artificial Intelligence (AI) Engineering Market Overview
  • 28.2. Middle East Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence (AI) Engineering Market

  • 29.1. Africa Artificial Intelligence (AI) Engineering Market Overview
  • 29.2. Africa Artificial Intelligence (AI) Engineering Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence (AI) Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence (AI) Engineering Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 30.1. Artificial Intelligence (AI) Engineering Market Competitive Landscape
  • 30.2. Artificial Intelligence (AI) Engineering Market Company Profiles
    • 30.2.1. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Meta Platform Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis

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

  • 31.1. Sony Group Corporation
  • 31.2. Tencent Holdings Limited
  • 31.3. Amazon Web Services Inc.
  • 31.4. Siemens AG
  • 31.5. General Electric Company
  • 31.6. Intel Corporation
  • 31.7. Accenture LLP
  • 31.8. International Business Machines Corporation
  • 31.9. Samsung Electronics Co. Ltd.
  • 31.10. Cisco System Inc.
  • 31.11. Qualcomm Incorporated
  • 31.12. Oracle Corporation
  • 31.13. SAP SE
  • 31.14. Hewlett Packard Enterprise Company
  • 31.15. Nvidia Corporation

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

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

34. Recent Developments In The Artificial Intelligence (AI) Engineering Market

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

  • 35.1 Artificial Intelligence (AI) Engineering Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence (AI) Engineering Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence (AI) Engineering Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer