查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1643499

全球人工智慧市场

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个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

2030年全球人工智慧市场规模将达875亿美元

2024 年全球人工智慧工程市场规模估计为 157 亿美元，预计到 2030 年将达到 875 亿美元，2024 年至 2030 年的复合年增长率为 33.1%。人工智慧工程硬体是报告分析的细分市场之一，预计到分析期结束时复合年增长率为 29.3%，达到 241 亿美元。预计在分析期间内，AI工程软体领域的复合年增长率为32.8%。

美国市场规模估计为 41 亿美元，中国市场预计复合年增长率为 31.6%

预计2024年美国人工智慧工程市场规模将达41亿美元。中国是世界第二大经济体，预计到 2030 年市场规模将达到 133 亿美元，2024-2030 年分析期间的复合年增长率为 31.6%。其他值得注意的区域市场包括日本和加拿大，预计在分析期间的复合年增长率分别为 29.7% 和 29.1%。在欧洲，预计德国的复合年增长率约为 23.4%。

全球人工智慧工程市场 - 主要趋势和驱动因素摘要

人工智慧工程将如何改变技术发展？

人工智慧 (AI) 工程透过提供大规模建构和部署 AI 系统的结构化方法正在彻底改变技术发展。传统的人工智慧实施经常面临可扩展性、可靠性和整合性等问题。人工智慧工程透过将软体工程原理与人工智慧特定技术相结合来解决这些挑战，以确保创建稳健、可扩展且高效的系统。这种方法有助于将人工智慧无缝整合到现有的业务流程和技术生态系统中。

人工智慧工程专注于自动化人工智慧系统的生命週期，从资料准备和模型开发到配置和监控。 MLOps（机器学习操作）和 AIOps（人工智慧操作）等工具简化了工作流程，使团队能够更有效地管理复杂的 AI计划。此外，人工智慧工程实践优先考虑可解释性和透明度，确保人工智慧模型不仅有效，而且可解释且符合道德标准。这些创新将人工智慧工程定位为先进技术发展的支柱。

推动各行各业采用人工智慧工程的因素有哪些？

对可扩展且可靠的人工智慧解决方案的需求不断增长，正在推动各行各业采用人工智慧工程。公司越来越认识到需要采用系统化的方法来实施能够大规模处理资料并提供一致结果的人工智慧系统。人工智慧工程透过提供确保人工智慧解决方案的稳定性和扩充性的框架和方法来满足这一需求。这在金融、医疗保健和製造等系统可靠性和性能至关重要的行业尤其有价值。

此外，自然语言处理、电脑视觉和生成式人工智慧等人工智慧技术的快速发展正在推动对专业工程实践的需求。这些技术需要严格的工作流程进行开发、测试和部署，而人工智慧工程可以实现这些要求。此外，对资料隐私、安全性和合规性的日益重视也推动了对人工智慧工程的需求。公司正在寻求建立符合监管要求同时保持高性能的人工智慧系统。由于这些因素，人工智慧工程正被广泛采用作为现代企业的基础实践。

人工智慧工程能否让业务运作更加智慧？

人工智慧工程透过优化流程、增强决策能力和推动创新，使企业运作更加智慧。透过部署专为可扩展性和可靠性而设计的人工智慧系统，企业可以利用即时资料洞察来做出更快、更明智的决策。人工智慧工程实践确保这些系统能够适应不断变化的市场条件和消费者需求并保持敏捷性。

除了提高业务效率之外，人工智慧工程也正在推动各行业的创新。将先进的人工智慧功能融入产品和服务可以帮助企业在竞争激烈的市场中脱颖而出。例如，零售业的人工智慧工程解决方案增强了供应链营运并个人化了客户体验。在医疗保健领域，它优化了诊断工作流程并改善了患者照护。无缝部署和高效维护人工智慧系统的能力将使企业能够充分发挥人工智慧的潜力，推动更智慧的营运和永续成长。

推动AI工程市场成长的因素有哪些？

人工智慧工程市场的成长受到多种变革因素的推动，这些因素反映了其在现代技术生态系统中日益增长的重要性。人工智慧技术的快速应用以及对可扩展、可靠的人工智慧系统日益增长的需求，正在刺激对人工智慧工程的需求。各组织正在大力投资人工智慧工程，以确保他们的人工智慧计画具有弹性、高效且符合其业务目标。

消费者对智慧、适应性技术的期望正在推动企业采用人工智慧工程作为大规模提供创新解决方案的手段。此外，边缘运算和物联网设备的兴起正在产生前所未有的资料量，这需要先进的人工智慧工程框架来有效地处理和分析这些数据。随着组织努力满足合规标准同时保持高性能，监管压力要求透明度、资料隐私和道德的人工智慧实践，进一步推动人工智慧工程的采用。这些因素，加上自动化和人工智慧生命週期管理工具的进步，正在推动市场呈指数级增长，使人工智慧工程成为全球数位转型策略的关键组成部分。

部分

组件（硬体组件、软体组件、服务组件）、技术（机器学习技术、深度学习技术、自然语言处理 (NLP) 技术、电脑视觉技术）、最终用途（IT 和电信最终用途）、BFSI 最终用途、零售最终用途、製造最终用途、医疗保健最终用途、其他最终用途）

调查企业范例（共22家企业）

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

目录

第一章调查方法

第 2 章执行摘要

  • 市场概况
  • 主要企业
  • 市场趋势和驱动因素
  • 全球市场展望

第三章 市场分析

  • 美国
  • 加拿大
  • 日本
  • 中国
  • 欧洲
  • 法国
  • 德国
  • 义大利
  • 英国
  • 其他欧洲国家
  • 亚太地区
  • 其他地区

第四章 竞赛

简介目录
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