查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1612250

製造业中的人工智慧市场：按技术、应用和最终用户划分 - 全球预测 2025-2030

Artificial Intelligence in Manufacturing Market by Technology (Deep Learning, Machine Learning Platforms, Machine Vision), Application (Cybersecurity, Field Services, Industrial Robots), End-User - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 193 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。

2023年製造业人工智慧市场规模为57.4亿美元，预计2024年将达79亿美元，复合年增长率为39.04%，预计到2030年将达到577.5亿美元。

製造业中人工智慧 (AI) 的范围围绕着优化生产流程、提高效率和降低营运成本。这包括预测性维护、品管、库存管理和供应链优化等应用。製造业对人工智慧的需求是由对更高生产力的需求以及快速发展的技术环境中对自适应系统的需求所推动的。主要的最终用途领域包括汽车、电子、製药和消费品，每个领域都在利用人工智慧来提高产品品质和简化业务。影响成长的关键因素包括工业 4.0 实践的增加、感测器技术的进步以及物联网在製造过程中的整合。巨大的机会在于人工智慧提供的即时资料分析，它增强了整个生产线的可见度和决策能力。开发公司还可以从开发针对利基挑战的客製化自订解决方案中受益。然而，实施成本高、缺乏技术纯熟劳工和资料隐私问题等挑战正在阻碍市场成长。此外，确保网路安全并减轻系统故障造成的潜在破坏也是一项关键挑战。创新的成长领域包括开发更复杂的人工智慧演算法以提高预测能力以及透过直觉的介面增强人机协作。专注于节能人工智慧模型和跨不同製造系统的人工智慧互通性的研究可以促进永续成长。随着製造商继续倡议数位转型措施以保持竞争力，市场预计将动态发展。公司可以透过投资人工智慧驱动的供应链弹性和针对其特定製造业量身定制的自动化解决方案来策略定位自己。专注于与技术提供者建立强有力的伙伴关係以加快部署和实施也将有助于克服障碍并使企业能够有效地利用新的人工智慧机会。

主要市场统计
基准年[2023] 57.4亿美元
预计年份 [2024] 79亿美元
预测年份 [2030] 577.5亿美元
复合年增长率（%） 39.04%

市场动态：针对製造业市场快速发展的人工智慧揭示的关键市场洞察

製造业中的人工智慧市场正因供需的动态交互作用而转变。透过了解这些不断变化的市场动态，公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，同时也能帮助消费行为及其对製造业的影响。

  • 市场驱动因素
    • 对自动化和快速发展的行业的需求不断增长
    • 物联网技术在製造业的演变
    • 更加重视业务效率和降低成本
  • 市场限制因素
    • 技术采用和实施的初始投资较高
  • 市场机会
    • 扩大人工智慧技术在机器检查和预测性维护的采用
    • 促进开发中国家的政府措施和投资
  • 市场挑战
    • 对延迟敏感的应用程式和有限的熟练劳动力的担忧

波特五力：引领製造业人工智慧市场的策略工具

波特的五力框架是了解製造业市场人工智慧竞争格局的关键工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势、解决弱点并避免潜在的挑战，以确保更强大的市场地位。

PESTLE分析：了解製造业市场人工智慧的外部影响

外部宏观环境因素在塑造製造业市场人工智慧的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并帮助他们做出积极主动的决策。

市场占有率分析 了解製造业人工智慧市场竞争状况

对製造业市场中人工智慧的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势，为供应商提供了製定策略决策所需的洞察力，使他们能够在日益激烈的竞争中占有一席之地。

FPNV定位矩阵製造业人工智慧供应商绩效评估

FPNV 定位矩阵是评估製造市场人工智慧供应商的关键工具。此矩阵允许业务组织根据供应商的商务策略和产品满意度评估供应商，从而做出符合其目标的明智决策。这四个象限使您能够清晰、准确地划分供应商，以确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析与建议绘製製造业市场人工智慧的成功之路

对于旨在加强其在全球市场的影响力的公司来说，对製造业市场中的人工智慧进行策略分析至关重要。透过考虑关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战，利用新的商机，并取得长期成功。

本报告对市场进行了全面分析，涵盖关键重点领域：

1. 市场渗透率：详细检视当前市场环境、主要企业的广泛资料、评估其在市场中的影响力和整体影响力。

2. 市场开拓：辨识新兴市场的成长机会，评估现有领域的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，以帮助相关人员做出明智的决策：

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 对自动化和快速发展的行业的需求不断增长
      • 物联网技术在整个製造业中不断发展
      • 强调业务效率和降低成本
    • 抑制因素
      • 技术采用和实施的初始投资较高
    • 机会
      • 扩大人工智慧技术在机器检查和预测性维护的应用
      • 对开发中国家有前景的政府措施和投资
    • 任务
      • 对延迟敏感的应用程式和缺乏熟练劳动力的担忧
  • 市场区隔分析
    • 技术：更多采用机器人流程自动化来提高整个製造业的生产力
    • 应用：製造业对安全和流程自动化的需求不断增长
    • 最终用户：对人工智慧推动能源和公共领域的创新和效率的需求不断增长。
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境

第六章 製造业人工智慧市场：依技术分类

  • 深度学习
  • 机器学习平台
  • 机器视觉
  • 机器人流程自动化
  • 文本分析和自然处理语言

第七章 製造业人工智慧市场：依应用分类

  • 网路安全
  • 现场服务
  • 工业机器人
  • 物质的运动
  • 预测性维护和机器检查
  • 生产计画
  • 品管
  • 开拓

第八章 製造业人工智慧市场：依最终用户分类

  • 车
  • 能源和电力
  • 食品/饮料
  • 重金属及机械製造
  • 药品
  • 半导体/电子产品

第九章：美洲製造业人工智慧市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第10章：亚太地区製造业人工智慧市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十一章：欧洲、中东和非洲製造业的人工智慧市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十二章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
    • IFS 收购 Falkonry AI
    • 宣布建立人工智慧驱动的生物相似药製造伙伴关係
    • 为印度製造业提供动力的人工智慧Start-Ups筹集了 420 万美元
  • 战略分析和建议

公司名单

  • Advanced Micro Devices, Inc.
  • AIBrain Inc.
  • Bright Machines, Inc.
  • Cisco Systems, Inc.
  • ForwardX Technology Co., Ltd.
  • General Electric Company
  • General Vision Inc.
  • Google, LLC by Alphabet Inc.
  • Graphcore Limited
  • Hewlett Packard Enterprise Company
  • Intel Corporation
  • International Business Machines Corporation
  • Landing AI
  • Medtronic PLC
  • Micron Technology Inc.
  • Microsoft Corporation
  • Mitsubishi Electric Corporation
  • Novartis International AG
  • Nvidia Corporation
  • Oracle Corporation
  • Path Robotics
  • Progress Software Corporation
  • Rethink Robotics GmbH
  • Rockwell Automation Inc.
  • SAP SE
  • Siemens AG
  • SparkCognition, Inc.
  • UBTECH Robotics, Inc.
  • Uptake Technologies Inc.
Product Code: MRR-436901065773

The Artificial Intelligence in Manufacturing Market was valued at USD 5.74 billion in 2023, expected to reach USD 7.90 billion in 2024, and is projected to grow at a CAGR of 39.04%, to USD 57.75 billion by 2030.

The scope of artificial intelligence (AI) in manufacturing revolves around optimizing production processes, enhancing efficiency, and reducing operational costs. It includes applications such as predictive maintenance, quality control, inventory management, and supply chain optimization. The necessity for AI in manufacturing is driven by the demand for higher productivity and the need for adaptive systems in a rapidly advancing technological environment. Primary end-use sectors include automotive, electronics, pharmaceuticals, and consumer goods, each leveraging AI to enhance product quality and streamline operations. Key factors influencing growth include increasing adoption of Industry 4.0 practices, advancements in sensor technologies, and the integration of IoT in manufacturing processes. A significant opportunity lies in the real-time data analytics offered by AI, providing enhanced visibility and decision-making capabilities across production lines. Manufacturers can also benefit from developing custom AI solutions tailored to niche challenges. However, challenges such as high implementation costs, lack of skilled workforce, and data privacy concerns present obstacles to market growth. Furthermore, ensuring cybersecurity and mitigating potential disruptions due to system failures are critical challenges. Innovative areas for growth include developing more sophisticated AI algorithms for improved predictive capabilities and enhancing human-machine collaboration through intuitive interfaces. Research focused on energy-efficient AI models and AI interoperability across varied manufacturing systems can drive sustainable growth. The market is projected to evolve dynamically, as manufacturers continue to adopt digital transformation initiatives to remain competitive. Companies can position themselves strategically by investing in AI-powered supply chain resilience and customizable automation solutions tailored to specific manufacturing verticals. Emphasizing strong partnerships with technology providers to speed up deployment and implementation can also help in overcoming barriers, enabling companies to capitalize on emerging AI opportunities effectively.

KEY MARKET STATISTICS
Base Year [2023] USD 5.74 billion
Estimated Year [2024] USD 7.90 billion
Forecast Year [2030] USD 57.75 billion
CAGR (%) 39.04%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Manufacturing Market

The Artificial Intelligence in Manufacturing Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Growing need for automation and rapidly evolving industries
    • Evolving IoT technology across manufacturing industries
    • Increasing emphasis on operational efficiency and reducing cost
  • Market Restraints
    • High initial investment for installation and implementation of technology
  • Market Opportunities
    • Growing adoption of AI technology in machinery inspection and predictive maintenance
    • Promising Government Initiatives & Investments in Developing Nations
  • Market Challenges
    • Concerns regarding latency-sensitive applications and limited skilled workforce

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Manufacturing Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Manufacturing Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Manufacturing Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Manufacturing Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Manufacturing Market

A detailed market share analysis in the Artificial Intelligence in Manufacturing Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Manufacturing Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Manufacturing Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Manufacturing Market

A strategic analysis of the Artificial Intelligence in Manufacturing Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Manufacturing Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., AIBrain Inc., Bright Machines, Inc., Cisco Systems, Inc., ForwardX Technology Co., Ltd., General Electric Company, General Vision Inc., Google, LLC by Alphabet Inc., Graphcore Limited, Hewlett Packard Enterprise Company, Intel Corporation, International Business Machines Corporation, Landing AI, Medtronic PLC, Micron Technology Inc., Microsoft Corporation, Mitsubishi Electric Corporation, Novartis International AG, Nvidia Corporation, Oracle Corporation, Path Robotics, Progress Software Corporation, Rethink Robotics GmbH, Rockwell Automation Inc., SAP SE, Siemens AG, SparkCognition, Inc., UBTECH Robotics, Inc., and Uptake Technologies Inc..

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Manufacturing Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Technology, market is studied across Deep Learning, Machine Learning Platforms, Machine Vision, Robotic Processes Automation, and Text Analytics & Natural Processing Language.
  • Based on Application, market is studied across Cybersecurity, Field Services, Industrial Robots, Material Movement, Predictive Maintenance & Machinery Inspection, Production Planning, Quality Control, and Reclamation.
  • Based on End-User, market is studied across Automobile, Energy & Power, Food & Beverages, Heavy Metals & Machine Manufacturing, Pharmaceuticals, and Semiconductor & Electronics.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growing need for automation and rapidly evolving industries
      • 5.1.1.2. Evolving IoT technology across manufacturing industries
      • 5.1.1.3. Increasing emphasis on operational efficiency and reducing cost
    • 5.1.2. Restraints
      • 5.1.2.1. High initial investment for installation and implementation of technology
    • 5.1.3. Opportunities
      • 5.1.3.1. Growing adoption of AI technology in machinery inspection and predictive maintenance
      • 5.1.3.2. Promising Government Initiatives & Investments in Developing Nations
    • 5.1.4. Challenges
      • 5.1.4.1. Concerns regarding latency-sensitive applications and limited skilled workforce
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Technology: Rising adoption of robotic process automation to increase productivity across manufacturing sector
    • 5.2.2. Application: Increasing need for security and process automation in manufacturing sector
    • 5.2.3. End-User: Growing demand for AI for propelling innovation and efficiency across energy & utility sector
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Artificial Intelligence in Manufacturing Market, by Technology

  • 6.1. Introduction
  • 6.2. Deep Learning
  • 6.3. Machine Learning Platforms
  • 6.4. Machine Vision
  • 6.5. Robotic Processes Automation
  • 6.6. Text Analytics & Natural Processing Language

7. Artificial Intelligence in Manufacturing Market, by Application

  • 7.1. Introduction
  • 7.2. Cybersecurity
  • 7.3. Field Services
  • 7.4. Industrial Robots
  • 7.5. Material Movement
  • 7.6. Predictive Maintenance & Machinery Inspection
  • 7.7. Production Planning
  • 7.8. Quality Control
  • 7.9. Reclamation

8. Artificial Intelligence in Manufacturing Market, by End-User

  • 8.1. Introduction
  • 8.2. Automobile
  • 8.3. Energy & Power
  • 8.4. Food & Beverages
  • 8.5. Heavy Metals & Machine Manufacturing
  • 8.6. Pharmaceuticals
  • 8.7. Semiconductor & Electronics

9. Americas Artificial Intelligence in Manufacturing Market

  • 9.1. Introduction
  • 9.2. Argentina
  • 9.3. Brazil
  • 9.4. Canada
  • 9.5. Mexico
  • 9.6. United States

10. Asia-Pacific Artificial Intelligence in Manufacturing Market

  • 10.1. Introduction
  • 10.2. Australia
  • 10.3. China
  • 10.4. India
  • 10.5. Indonesia
  • 10.6. Japan
  • 10.7. Malaysia
  • 10.8. Philippines
  • 10.9. Singapore
  • 10.10. South Korea
  • 10.11. Taiwan
  • 10.12. Thailand
  • 10.13. Vietnam

11. Europe, Middle East & Africa Artificial Intelligence in Manufacturing Market

  • 11.1. Introduction
  • 11.2. Denmark
  • 11.3. Egypt
  • 11.4. Finland
  • 11.5. France
  • 11.6. Germany
  • 11.7. Israel
  • 11.8. Italy
  • 11.9. Netherlands
  • 11.10. Nigeria
  • 11.11. Norway
  • 11.12. Poland
  • 11.13. Qatar
  • 11.14. Russia
  • 11.15. Saudi Arabia
  • 11.16. South Africa
  • 11.17. Spain
  • 11.18. Sweden
  • 11.19. Switzerland
  • 11.20. Turkey
  • 11.21. United Arab Emirates
  • 11.22. United Kingdom

12. Competitive Landscape

  • 12.1. Market Share Analysis, 2023
  • 12.2. FPNV Positioning Matrix, 2023
  • 12.3. Competitive Scenario Analysis
    • 12.3.1. IFS to acquire Falkonry AI
    • 12.3.2. AI-driven biosimilar manufacturing partnership announced
    • 12.3.3. AI-based startup helping India's manufacturing prowess raises USD 4.2 million
  • 12.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Advanced Micro Devices, Inc.
  • 2. AIBrain Inc.
  • 3. Bright Machines, Inc.
  • 4. Cisco Systems, Inc.
  • 5. ForwardX Technology Co., Ltd.
  • 6. General Electric Company
  • 7. General Vision Inc.
  • 8. Google, LLC by Alphabet Inc.
  • 9. Graphcore Limited
  • 10. Hewlett Packard Enterprise Company
  • 11. Intel Corporation
  • 12. International Business Machines Corporation
  • 13. Landing AI
  • 14. Medtronic PLC
  • 15. Micron Technology Inc.
  • 16. Microsoft Corporation
  • 17. Mitsubishi Electric Corporation
  • 18. Novartis International AG
  • 19. Nvidia Corporation
  • 20. Oracle Corporation
  • 21. Path Robotics
  • 22. Progress Software Corporation
  • 23. Rethink Robotics GmbH
  • 24. Rockwell Automation Inc.
  • 25. SAP SE
  • 26. Siemens AG
  • 27. SparkCognition, Inc.
  • 28. UBTECH Robotics, Inc.
  • 29. Uptake Technologies Inc.

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET RESEARCH PROCESS
  • FIGURE 2. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 15. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 17. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 21. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DYNAMICS
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY MACHINE VISION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY ROBOTIC PROCESSES AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TEXT ANALYTICS & NATURAL PROCESSING LANGUAGE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY CYBERSECURITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FIELD SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRIAL ROBOTS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY MATERIAL MOVEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE & MACHINERY INSPECTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY RECLAMATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOBILE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY ENERGY & POWER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HEAVY METALS & MACHINE MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 30. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 31. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 32. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 33. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 34. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 35. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 36. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 37. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 38. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 39. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 40. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 41. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 42. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 43. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 44. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 45. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 46. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 47. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 48. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 49. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 50. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 51. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 52. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 53. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 54. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 55. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 56. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 57. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 58. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 59. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 60. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 61. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 62. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 63. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 64. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 65. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 66. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 67. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 68. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 69. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 70. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 71. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 72. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 73. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 74. SINGAPORE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 75. SINGAPORE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 76. SINGAPORE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 77. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 78. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 79. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 80. TAIWAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 81. TAIWAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 82. TAIWAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 83. THAILAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 84. THAILAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 85. THAILAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 86. VIETNAM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 87. VIETNAM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 88. VIETNAM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 89. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 90. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 91. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 92. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 93. DENMARK ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 94. DENMARK ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 95. DENMARK ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 96. EGYPT ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 97. EGYPT ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 98. EGYPT ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 99. FINLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 100. FINLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 101. FINLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 102. FRANCE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 103. FRANCE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 104. FRANCE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 105. GERMANY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 106. GERMANY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 107. GERMANY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 108. ISRAEL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 109. ISRAEL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 110. ISRAEL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 111. ITALY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 112. ITALY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 113. ITALY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 114. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 115. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 116. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 117. NIGERIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 118. NIGERIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 119. NIGERIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 120. NORWAY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 121. NORWAY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 122. NORWAY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 123. POLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 124. POLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 125. POLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 126. QATAR ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 127. QATAR ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 128. QATAR ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 129. RUSSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 130. RUSSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 131. RUSSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 132. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 133. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 134. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 135. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 136. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 137. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 138. SPAIN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 139. SPAIN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 140. SPAIN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 141. SWEDEN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 142. SWEDEN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 143. SWEDEN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 144. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 145. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 146. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 147. TURKEY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 148. TURKEY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 149. TURKEY ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 150. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 151. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 152. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 153. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 154. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 155. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 156. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 157. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, FPNV POSITIONING MATRIX, 2023