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市場調查報告書
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1843644

2025年全球人工智慧（AI）工程市場報告

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個工作天內

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簡介目錄

近年來，人工智慧（AI）工程市場發展迅速，預計將從2024年的156.7億美元成長到2025年的213.9億美元，複合年成長率達36.5%。這段時期的成長歸功於運算能力的提升、巨量資料可用性的提高、自動化需求的成長以及雲端運算的擴張。

預計未來幾年人工智慧（AI）工程市場將呈指數級成長，到2029年市場規模將達到833億美元，年複合成長率（CAGR）高達40.5%。預測期內的成長主要歸功於對人工智慧驅動的網路安全解決方案的需求、邊緣運算的蓬勃發展、人工智慧在醫療保健領域的應用拓展以及人工智慧在客戶服務中日益廣泛的應用。預測期內的關鍵趨勢包括可解釋人工智慧的發展、人工智慧在藥物研發和醫療保健研究中的興起、人工智慧在人力資源領域的應用日益廣泛、人工智慧主導的設計和創建工具的湧現，以及對符合倫理規範的人工智慧開發的日益重視。

人工智慧工程是一個致力於開發工具、系統和流程的領域，旨在實用化。人工智慧工程師在建立人工智慧模型、制定演算法以及運用人工智慧技術解決複雜問題和促進數據驅動決策方面發揮關鍵作用。

人工智慧（AI）工程解決方案主要分為硬體、軟體和服務三大類。硬體指的是計算系統和其他電子設備的實體組件。深度學習、機器學習、自然語言處理和電腦視覺等各種技術，可透過多種配置實現，包括雲端部署和本地部署。這些技術應用於醫療保健、汽車和交通、農業、資訊科技（IT）以及商業管理等多個領域。

美國在2025年春季突然提高關稅及其引發的貿易摩擦，對資訊科技產業，特別是硬體製造、資料基礎設施和軟體部署領域，產生了重大影響。進口半導體、電路基板和網路設備的關稅上漲，推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司，面臨更長的前置作業時間和價格壓力。同時，對專用軟體徵收的關稅以及主要國際市場的報復性措施，擾亂了全球IT供應鏈，並降低了海外對美國製造技術的需求。為了應對這些挑戰，該產業正在加大對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化技術來增強韌性，更有效地控制成本。

本研究報告是商業研究公司（The Business Research Company）全新系列報告的一部分，該系列報告提供人工智慧（AI）工程市場統計數據，例如全球市場規模、區域佔有率、人工智慧（AI）工程市場佔有率的競爭對手、詳細的人工智慧（AI）工程市場細分、市場趨勢和機遇，以及在人工智慧（AI）工程行業取得成功所需的數據。本人工智慧（AI）工程市場研究報告對該行業的現狀和未來發展趨勢進行了詳細分析，為您提供所需的一切全面觀點。

未來五年40.5%的預測成長率較我們先前對該市場的預測略微下降了0.2%。這一下降主要歸因於美國與其他國家之間的關稅影響。從荷蘭進口的高效能運算（HPC）硬體徵收的關稅可能會直接影響美國，增加人工智慧新興企業的研發成本。此外，由於互惠關稅以及貿易緊張局勢和限制加劇對全球經濟和貿易的負面影響，這種影響也將更加廣泛。

預計未來幾年，自動化技術的快速普及將推動人工智慧（AI）工程市場的成長。自動化是指利用科技以最小的人工干預來生產和分銷商品及服務。在人工智慧工程領域，自動化能夠加速開發、提高生產力並簡化流程，促使人工智慧技術在各行各業得到廣泛應用。例如，總部位於德國的非營利組織國際機器人聯合會（IFR）在2024年4月發布報告稱，到2023年，工業機器人的總裝置量將成長12%，達到44,303台。因此，自動化技術的快速普及正在推動人工智慧（AI）工程市場向前發展。

預計未來雲端基礎應用的日益普及將推動人工智慧（AI）工程市場的成長。雲端基礎應用，也稱為雲端應用程式或SaaS（軟體即服務），是指透過網際網路交付的軟體程式或服務。人工智慧工程透過提供自動化、分析、增強安全性和提升使用者體驗等功能來增強雲端基礎應用。例如，總部位於比利時的歐盟委員會在2023年12月發布的報告顯示，2021年至2023年間，歐盟使用雲端處理服務的企業比例增加了4.2個百分點。因此，雲端基礎應用的日益普及正在推動人工智慧（AI）工程市場的成長。

技術進步是人工智慧（AI）工程市場的一大趨勢，領先企業紛紛採用新技術以鞏固其市場地位。例如，2023年3月，地理空間技術公司Mach9 Robotics Inc.推出了一款創新的地理空間生產軟體，該軟體利用電腦視覺和人工智慧技術快速產生2D和3DCAD工程交付物。這種從硬體優先到軟體優先的經營模式轉變，滿足了基礎設施管理領域對加速地理空間資料處理和分析工具日益成長的需求，也凸顯了技術進步在推動市場成長的重要性。

人工智慧（AI）工程市場的企業正致力於開發創新的AI解決方案以提高盈利。無需顯式程式設計即可產生新內容和資料的生成式AI正日益普及。 2023年5月，Encora Digital LLC成立了生成式AI技術實務部門，旨在加速高科技企業的創新週期。該部門簡化了核心軟體工程、使用者介面設計和品質工程流程，顯著縮短了調試、程式碼最佳化、測試案例自動化和缺陷預測所需的時間。這項以創新和生產力為核心的策略舉措，正在推動生成式AI在各個業務領域的廣泛應用。

2022年12月，Tecnotree Corporation收購了CognitiveScale Inc.，旨在利用其人工智慧和機器學習能力，增強其在5G數位業務支援系統領域的地位。此次收購也使其獲得了Cortex人工智慧工程平台的使用權，從而拓展了電信、醫療保健和金融服務領域的應用案例，並提升了整體客戶體驗。 CognitiveScale Inc.是一家知名的人工智慧工程公司，在為金融服務、醫療保健和電子商務企業提供人工智慧解決方案方面擁有豐富的經驗，為Tecnotree Corporation帶來了寶貴的專業知識。

工業（AI）工程市場的主要參與者包括：Alphabet Inc.、微軟公司、Meta Platform Inc.、戴爾科技公司、華為技術有限公司、SONY集團公司、騰訊有限公司、亞馬遜網路服務公司、西門子公司、通用電氣公司、英特爾公司、埃森哲有限責任合夥公司、國際商業機器公司、三星電子公司、通用電氣公司、英特爾公司、埃森哲有限公司控股有限公司、國際商業機器公司、三星電子公司、通用電氣公司、高通公司、Apforce 公司、STO、STO、STO、ApAP、AMforce公司、SAPforce、STO、SAP、SAP； Inc.、凱捷公司、Cognizant Technology Solutions Corporation、Infosys Limited、百度公司、阿里雲、斑馬技術公司、Palantir Technologies Inc.、UiPath Inc.和Verint Systems Inc.。

預計到2024年，北美將成為人工智慧（AI）工程市場最大的區域。本人工智慧（AI）工程市場報告涵蓋的區域包括亞太地區、西歐、東歐、北美、南美、中東和非洲。

人工智慧（AI）工程市場報告涵蓋的國家包括澳洲、巴西、中國、法國、德國、印度、印尼、日本、俄羅斯、韓國、英國、美國、義大利、西班牙和加拿大。

人工智慧（AI）工程市場包括營業單位透過AI解決方案開發、AI整合與部署以及監督學習所獲得的收入。市場價值包含服務供應商銷售的相關產品或包含在其服務產品中的相關產品的價值。人工智慧（AI）工程市場還包括圖形處理器（GPU）、專用積體電路（ASIC）和中央處理器（CPU）的銷售。該市場的價值為“出廠價”，即產品製造商或創造者銷售給其他營業單位（包括下游製造商、經銷商和零售商）或直接銷售給最終客戶的產品的價值。該市場的產品價值還包括產品創造者銷售的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球人工智慧（AI）工程：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球人工智慧（AI）工程市場：成長率分析
  • 全球人工智慧（AI）工程市場表現：規模與成長，2019-2024年
  • 全球人工智慧（AI）工程市場預測：規模與成長，2024-2029年，2034年預測
  • 全球人工智慧（AI）工程：潛在市場規模（TAM）

第6章 市場細分

  • 全球人工智慧（AI）工程市場：按解決方案分類，實際結果和預測，2019-2024年、2024-2029年預測、2034年預測
  • 硬體
  • 軟體
  • 服務
  • 全球人工智慧（AI）工程市場：依技術、性能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 深度學習
  • 機器學習
  • 自然語言處理
  • 電腦視覺
  • 全球人工智慧（AI）工程市場：依部署、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 在雲端
  • 本地部署
  • 全球人工智慧（AI）工程市場：依最終用戶分類，實際值和預測值，2019-2024年、2024-2029年預測值、2034年預測值
  • 衛生保健
  • 汽車與運輸
  • 農業
  • 資訊科技（IT）
  • 企業管理
  • 其他最終用戶
  • 全球人工智慧（AI）工程市場：細分市場、硬體（按類型）、效能及預測，2019-2024年、2024-2029年預測、2034年預測
  • 人工智慧處理器
  • 邊緣設備
  • 伺服器
  • 全球人工智慧（AI）工程市場：細分市場、軟體（按類型）、效能和預測，2019-2024年、2024-2029年預測、2034年預測
  • 人工智慧框架和函式庫
  • 機器學習平台
  • 自然語言處理軟體
  • 電腦視覺軟體
  • 全球人工智慧（AI）工程市場：細分、服務（按類型）、效能與預測，2019-2024年、2024-2029年預測、2034年預測
  • 人工智慧諮詢服務
  • 整合服務
  • 維護和支援服務
  • 培訓服務

第7章 區域和國家分析

  • 全球人工智慧（AI）工程市場：區域表現及預測，2019-2024年、2024-2029年預測、2034年預測
  • 全球人工智慧（AI）工程市場：按國家、性能和預測分類，2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧（AI）工程市場：競爭格局
  • 人工智慧（AI）工程市場：公司概況
    • 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：其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年人工智慧（AI）工程市場：提供新機會的國家
  • 2029年人工智慧（AI）工程市場：新興機會細分領域
  • 2029年人工智慧（AI）工程市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
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