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1643499

全球人工智慧市場

Artificial Intelligence Engineering
出版日期: | 出版商: Global Industry Analysts, Inc. | 英文 162 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2030年全球人工智慧市場規模將達875億美元

2024 年全球人工智慧工程市場規模估計為 157 億美元，預計到 2030 年將達到 875 億美元，2024 年至 2030 年的複合年成長率為 33.1%。人工智慧工程硬體是報告分析的細分市場之一，預計到分析期結束時複合年成長率為 29.3%，達到 241 億美元。預計在分析期間內，AI工程軟體領域的複合年成長率為32.8%。

美國市場規模估計為 41 億美元，中國市場預計複合年成長率為 31.6%

預計2024年美國人工智慧工程市場規模將達41億美元。中國是世界第二大經濟體，預計到 2030 年市場規模將達到 133 億美元，2024-2030 年分析期間的複合年成長率為 31.6%。其他值得注意的區域市場包括日本和加拿大，預計在分析期間的複合年成長率分別為 29.7% 和 29.1%。在歐洲，預計德國的複合年成長率約為 23.4%。

全球人工智慧工程市場 - 主要趨勢和促進因素摘要

人工智慧工程將如何改變技術發展？

人工智慧 (AI) 工程透過提供大規模建構和部署 AI 系統的結構化方法正在徹底改變技術發展。傳統的人工智慧實施經常面臨可擴展性、可靠性和整合性等問題。人工智慧工程透過將軟體工程原理與人工智慧特定技術相結合來解決這些挑戰，以確保創建穩健、可擴展且高效的系統。這種方法有助於將人工智慧無縫整合到現有的業務流程和技術生態系統中。

人工智慧工程專注於自動化人工智慧系統的生命週期，從資料準備和模型開發到配置和監控。 MLOps（機器學習操作）和 AIOps（人工智慧操作）等工具簡化了工作流程，使團隊能夠更有效地管理複雜的 AI計劃。此外，人工智慧工程實踐優先考慮可解釋性和透明度，確保人工智慧模型不僅有效，而且可解釋且符合道德標準。這些創新將人工智慧工程定位為先進技術發展的支柱。

推動各行各業採用人工智慧工程的因素有哪些？

對可擴展且可靠的人工智慧解決方案的需求不斷成長，正在推動各行各業採用人工智慧工程。公司越來越認知到需要採用系統化的方法來實施能夠大規模處理資料並提供一致結果的人工智慧系統。人工智慧工程透過提供確保人工智慧解決方案的穩定性和擴充性的框架和方法來滿足這一需求。這在金融、醫療保健和製造等系統可靠性和性能至關重要的行業尤其有價值。

此外，自然語言處理、電腦視覺和生成式人工智慧等人工智慧技術的快速發展正在推動對專業工程實踐的需求。這些技術需要嚴格的工作流程進行開發、測試和部署，而人工智慧工程可以實現這些要求。此外，對資料隱私、安全性和合規性的日益重視也推動了對人工智慧工程的需求。公司正在尋求建立符合監管要求同時保持高性能的人工智慧系統。由於這些因素，人工智慧工程正被廣泛採用作為現代企業的基礎實踐。

人工智慧工程能否讓業務運作更加智慧？

人工智慧工程透過最佳化流程、增強決策能力和推動創新，使企業運作更加智慧。透過部署專為可擴展性和可靠性而設計的人工智慧系統，企業可以利用即時資料洞察來做出更快、更明智的決策。人工智慧工程實踐確保這些系統能夠適應不斷變化的市場條件和消費者需求並保持敏捷性。

除了提高業務效率之外，人工智慧工程也正在推動各行業的創新。將先進的人工智慧功能融入產品和服務可以幫助企業在競爭激烈的市場中脫穎而出。例如，零售業的人工智慧工程解決方案增強了供應鏈營運並個人化了客戶體驗。在醫療保健領域，它最佳化了診斷工作流程並改善了患者照護。無縫部署和高效維護人工智慧系統的能力將使企業能夠充分發揮人工智慧的潛力，推動更智慧的營運和永續成長。

推動AI工程市場成長的因素有哪些？

人工智慧工程市場的成長受到多種變革因素的推動，這些因素反映了其在現代技術生態系統中日益成長的重要性。人工智慧技術的快速應用以及對可擴展、可靠的人工智慧系統日益成長的需求，正在刺激對人工智慧工程的需求。各組織正在大力投資人工智慧工程，以確保他們的人工智慧計畫具有彈性、高效且符合其業務目標。

消費者對智慧、適應性技術的期望正在推動企業採用人工智慧工程作為大規模提供創新解決方案的手段。此外，邊緣運算和物聯網設備的興起正在產生前所未有的資料量，這需要先進的人工智慧工程框架來有效地處理和分析這些數據。隨著組織努力滿足合規標準同時保持高性能，監管壓力要求透明度、資料隱私和道德的人工智慧實踐，進一步推動人工智慧工程的採用。這些因素，加上自動化和人工智慧生命週期管理工具的進步，正在推動市場呈指數級成長，使人工智慧工程成為全球數位轉型策略的關鍵組成部分。

部分

組件（硬體組件、軟體組件、服務組件）、技術（機器學習技術、深度學習技術、自然語言處理 (NLP) 技術、電腦視覺技術）、最終用途（IT 和電信最終用途）、BFSI 最終用途、零售最終用途、製造最終用途、醫療保健最終用途、其他最終用途）

調查企業範例（共22家企業）

  • Amazon Web Services, Inc.
  • Cisco Systems, Inc.
  • DataRobot, Inc.
  • IBM Corporation
  • Intel Corporation
  • Lexalytics, Inc.
  • Microsoft Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Siemens AG

目錄

第1章調查方法

第 2 章執行摘要

  • 市場概況
  • 主要企業
  • 市場趨勢和促進因素
  • 全球市場展望

第3章 市場分析

  • 美國
  • 加拿大
  • 日本
  • 中國
  • 歐洲
  • 法國
  • 德國
  • 義大利
  • 英國
  • 其他歐洲國家
  • 亞太地區
  • 其他地區

第4章 競賽

簡介目錄
Product Code: MCP29244

Global Artificial Intelligence Engineering Market to Reach US$87.5 Billion by 2030

The global market for Artificial Intelligence Engineering estimated at US$15.7 Billion in the year 2024, is expected to reach US$87.5 Billion by 2030, growing at a CAGR of 33.1% over the analysis period 2024-2030. AI Engineering Hardware, one of the segments analyzed in the report, is expected to record a 29.3% CAGR and reach US$24.1 Billion by the end of the analysis period. Growth in the AI Engineering Software segment is estimated at 32.8% CAGR over the analysis period.

The U.S. Market is Estimated at US$4.1 Billion While China is Forecast to Grow at 31.6% CAGR

The Artificial Intelligence Engineering market in the U.S. is estimated at US$4.1 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$13.3 Billion by the year 2030 trailing a CAGR of 31.6% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 29.7% and 29.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 23.4% CAGR.

Global Artificial Intelligence Engineering Market - Key Trends & Drivers Summarized

How Is AI Engineering Transforming Technology Development?

Artificial Intelligence (AI) engineering is revolutionizing technology development by providing a structured approach to building and deploying AI systems at scale. Traditional AI implementations often struggle with issues such as scalability, reliability, and integration. AI engineering addresses these challenges by combining software engineering principles with AI-specific techniques, ensuring the creation of robust, scalable, and efficient systems. This approach facilitates the seamless integration of AI into existing business processes and technology ecosystems.

AI engineering focuses on automating the lifecycle of AI systems, from data preparation and model development to deployment and monitoring. Tools like MLOps (Machine Learning Operations) and AIOps (Artificial Intelligence Operations) streamline workflows, enabling teams to manage complex AI projects with greater efficiency. Furthermore, AI engineering practices prioritize explainability and transparency, ensuring that AI models are not only effective but also interpretable and aligned with ethical standards. These innovations are positioning AI engineering as the backbone of advanced technology development.

What Drives the Adoption of AI Engineering Across Industries?

The growing demand for scalable and reliable AI solutions is a significant driver of AI engineering adoption across industries. Businesses are increasingly recognizing the need for a systematic approach to implementing AI systems that can handle large-scale data and deliver consistent results. AI engineering addresses this demand by providing frameworks and methodologies that ensure the stability and scalability of AI-powered solutions. This is particularly valuable in industries like finance, healthcare, and manufacturing, where system reliability and performance are critical.

Additionally, the rapid advancement of AI technologies, such as natural language processing, computer vision, and generative AI, is driving the need for specialized engineering practices. These technologies require rigorous workflows for development, testing, and deployment, which AI engineering provides. The increasing emphasis on data privacy, security, and compliance is also fueling demand for AI engineering, as organizations seek to build AI systems that adhere to regulatory requirements while maintaining high performance. These factors are encouraging widespread adoption of AI engineering as a foundational practice for modern enterprises.

Can AI Engineering Enable Smarter Business Operations?

AI engineering is enabling smarter business operations by optimizing processes, enhancing decision-making, and driving innovation. By implementing AI systems that are designed for scalability and reliability, organizations can leverage real-time data insights to make informed decisions quickly and effectively. AI engineering practices ensure that these systems remain adaptable, enabling businesses to respond to changing market conditions and consumer demands with agility.

In addition to improving operational efficiency, AI engineering is fostering innovation across industries. By integrating advanced AI capabilities into products and services, companies can differentiate themselves in competitive markets. For example, AI-engineered solutions in retail enhance supply chain operations and personalize customer experiences, while in healthcare, they optimize diagnostic workflows and improve patient care. The ability to deploy AI systems seamlessly and maintain them efficiently ensures that organizations can unlock the full potential of AI, driving smarter operations and sustained growth.

What’s Driving the Growth of the AI Engineering Market?

The growth in the Artificial Intelligence Engineering market is driven by several transformative factors, reflecting its increasing importance in modern technology ecosystems. The rapid adoption of AI technologies, combined with the growing need for scalable and reliable AI systems, is fueling demand for AI engineering practices. Organizations are investing heavily in AI engineering to ensure their AI initiatives are resilient, efficient, and aligned with business objectives.

Consumer expectations for intelligent and adaptive technologies are pushing companies to adopt AI engineering as a means of delivering innovative solutions at scale. Additionally, the rise of edge computing and IoT devices is generating unprecedented volumes of data, requiring sophisticated AI engineering frameworks to process and analyze it effectively. Regulatory pressures for transparency, data privacy, and ethical AI practices are further encouraging the adoption of AI engineering, as organizations strive to meet compliance standards while maintaining high performance. These factors, along with advancements in automation and AI lifecycle management tools, are driving the exponential growth of the market, establishing AI engineering as a critical component of digital transformation strategies worldwide.

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence Engineering market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Hardware Component, Software Component, Services Component); Technology (Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology, Computer Vision Technology); End-Use (IT & Telecom End-Use, BFSI End-Use, Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 22 Featured) -

  • Amazon Web Services, Inc.
  • Cisco Systems, Inc.
  • DataRobot, Inc.
  • IBM Corporation
  • Intel Corporation
  • Lexalytics, Inc.
  • Microsoft Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Siemens AG

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Economic Frontiers: Trends, Trials & Transformations
    • Artificial Intelligence Engineering - Global Key Competitors Percentage Market Share in 2024 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Demand for AI-Driven Software Development Accelerates Adoption of Engineering Practices
    • Focus on MLOps Strengthens Business Case for Continuous AI Model Optimization
    • Rising Adoption of Cloud-Native AI Engineering Sets the Stage for Market Expansion
    • Edge AI Engineering Drives Adoption in Latency-Sensitive Applications
    • AI Engineering Bodes Well for Market Growth Amid Increased Need for AI Governance
    • Growing Complexity in AI Workflows Highlights the Case for AI Engineering Automation
    • AI Engineering Solutions Amplify Productivity in Multi-Cloud AI Deployments
    • AI Engineering Expands Opportunities for Real-Time Analytics and Decision Making
    • Integration of AI and DevOps (AIOps) Sets the Stage for Market Growth
    • AI Engineering for Automated Testing Bodes Well for Improving Model Accuracy
    • Emerging Need for Explainable AI Strengthens Market for Transparent AI Engineering
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Artificial Intelligence Engineering Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Artificial Intelligence Engineering by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Hardware Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Hardware Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for Software Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Services Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Retail End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Retail End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Manufacturing End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Manufacturing End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Healthcare End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Healthcare End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Other End-Uses by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for IT & Telecom End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 19: World 6-Year Perspective for IT & Telecom End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for BFSI End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for BFSI End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 22: World Recent Past, Current & Future Analysis for Machine Learning Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 23: World 6-Year Perspective for Machine Learning Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 24: World Recent Past, Current & Future Analysis for Deep Learning Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 25: World 6-Year Perspective for Deep Learning Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Natural Language Processing (NLP) Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 27: World 6-Year Perspective for Natural Language Processing (NLP) Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Computer Vision Technology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 29: World 6-Year Perspective for Computer Vision Technology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 30: USA Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 31: USA 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 34: USA Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 35: USA 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • CANADA
    • TABLE 36: Canada Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 37: Canada 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 40: Canada Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Canada 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 42: Japan Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Japan 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 44: Japan Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Japan 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 46: Japan Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Japan 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 48: China Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: China 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 50: China Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: China 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 52: China Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: China 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 54: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 55: Europe 6-Year Perspective for Artificial Intelligence Engineering by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 56: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Europe 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 58: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Europe 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 60: Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Europe 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 62: France Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: France 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 64: France Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 65: France 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 66: France Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 67: France 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 68: Germany Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Germany 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 70: Germany Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Germany 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 72: Germany Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 73: Germany 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • ITALY
    • TABLE 74: Italy Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 75: Italy 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 76: Italy Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 77: Italy 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 78: Italy Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 79: Italy 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 80: UK Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 81: UK 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 82: UK Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 83: UK 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 84: UK Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 85: UK 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 86: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Rest of Europe 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 88: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Rest of Europe 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 90: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Rest of Europe 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence Engineering Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 92: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Asia-Pacific 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 94: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Asia-Pacific 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 96: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 97: Asia-Pacific 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 98: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Component - Hardware Component, Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Rest of World 6-Year Perspective for Artificial Intelligence Engineering by Component - Percentage Breakdown of Value Sales for Hardware Component, Software Component and Services Component for the Years 2025 & 2030
    • TABLE 100: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by End-Use - Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 101: Rest of World 6-Year Perspective for Artificial Intelligence Engineering by End-Use - Percentage Breakdown of Value Sales for Retail End-Use, Manufacturing End-Use, Healthcare End-Use, Other End-Uses, IT & Telecom End-Use and BFSI End-Use for the Years 2025 & 2030
    • TABLE 102: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence Engineering by Technology - Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 103: Rest of World 6-Year Perspective for Artificial Intelligence Engineering by Technology - Percentage Breakdown of Value Sales for Machine Learning Technology, Deep Learning Technology, Natural Language Processing (NLP) Technology and Computer Vision Technology for the Years 2025 & 2030

IV. COMPETITION