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製造業中的人工智慧市場：按技術、應用和最終用戶分類 - 全球預測 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個工作天內

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2023年製造業人工智慧市場規模為57.4億美元，預計2024年將達79億美元，複合年成長率為39.04%，預計到2030年將達到577.5億美元。

製造業中人工智慧 (AI) 的範圍圍繞著最佳化生產流程、提高效率和降低營運成本。這包括預測性維護、品管、庫存管理和供應鏈最佳化等應用。製造業對人工智慧的需求是由對更高生產力的需求以及快速發展的技術環境中對自適應系統的需求所推動的。主要的最終用途領域包括汽車、電子、製藥和消費品，每個領域都在利用人工智慧來提高產品品質和簡化業務。影響成長的關鍵因素包括工業 4.0 實踐的增加、感測器技術的進步以及物聯網在製造過程中的整合。巨大的機會在於人工智慧提供的即時資料分析，它增強了整個生產線的可見度和決策能力。開發公司還可以從開發針對利基挑戰的客製化自訂解決方案中受益。然而，實施成本高、缺乏技術純熟勞工和資料隱私問題等挑戰正在阻礙市場成長。此外，確保網路安全並減輕系統故障造成的潛在破壞也是一項關鍵挑戰。創新的成長領域包括開發更複雜的人工智慧演算法以提高預測能力以及透過直覺的介面增強人機協作。專注於節能人工智慧模型和跨不同製造系統的人工智慧互通性的研究可以促進永續成長。隨著製造商繼續舉措數位轉型措施以保持競爭力，市場預計將動態發展。公司可以透過投資人工智慧驅動的供應鏈彈性和針對其特定製造業量身定做的自動化解決方案來策略定位自己。專注於與技術提供者建立強力的夥伴關係以加快部署和實施也將有助於克服障礙並使企業能夠有效地利用新的人工智慧機會。

主要市場統計
基準年[2023] 57.4億美元
預計年份 [2024] 79億美元
預測年份 [2030] 577.5億美元
複合年成長率（%） 39.04%

市場動態：針對製造業市場快速發展的人工智慧揭示的關鍵市場洞察

製造業中的人工智慧市場正因供需的動態交互作用而轉變。透過了解這些不斷變化的市場動態，公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，同時也能幫助消費行為及其對製造業的影響。

  • 市場促進因素
    • 對自動化和快速發展的行業的需求不斷成長
    • 物聯網技術在製造業的演變
    • 更加重視業務效率和降低成本
  • 市場限制因素
    • 技術採用和實施的初始投資較高
  • 市場機會
    • 擴大人工智慧技術在機器檢查和預測性維護的採用
    • 促進開發中國家的政府措施和投資
  • 市場挑戰
    • 對延遲敏感的應用程式和有限的熟練勞動力的擔憂

波特五力：引領製造業人工智慧市場的策略工具

波特的五力框架是了解製造業市場人工智慧競爭格局的關鍵工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢、解決弱點並避免潛在的挑戰，以確保更強大的市場地位。

PESTLE分析：了解製造業市場人工智慧的外部影響

外部宏觀環境因素在塑造製造業市場人工智慧的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並幫助他們做出積極主動的決策。

市場佔有率分析 了解製造業人工智慧市場競爭狀況

對製造業市場中人工智慧的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV定位矩陣製造業人工智慧供應商績效評估

FPNV 定位矩陣是評估製造市場人工智慧供應商的關鍵工具。此矩陣允許業務組織根據供應商的商務策略和產品滿意度評估供應商，從而做出符合其目標的明智決策。這四個象限使您能夠清晰、準確地分類供應商，以確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析與建議繪製製造業市場人工智慧的成功之路

對於旨在加強其在全球市場的影響力的公司來說，對製造業市場中的人工智慧進行策略分析至關重要。透過考慮關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機，並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：詳細檢視當前市場環境、主要企業的廣泛資料、評估其在市場中的影響力和整體影響力。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 對自動化和快速發展的行業的需求不斷成長
      • 物聯網技術在整個製造業中不斷發展
      • 強調業務效率和降低成本
    • 抑制因素
      • 技術採用和實施的初始投資較高
    • 機會
      • 擴大人工智慧技術在機器檢查和預測性維護的應用
      • 對開發中國家有前景的政府措施和投資
    • 任務
      • 對延遲敏感的應用程式和缺乏熟練勞動力的擔憂
  • 市場區隔分析
    • 技術：更多採用機器人流程自動化來提高整個製造業的生產力
    • 應用：製造業對安全和流程自動化的需求不斷成長
    • 最終用戶：對人工智慧推動能源和公共領域的創新和效率的需求不斷成長。
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第6章 製造業人工智慧市場：依技術分類

  • 深度學習
  • 機器學習平台
  • 機器視覺
  • 機器人流程自動化
  • 文本分析和自然處理語言

第7章 製造業人工智慧市場：依應用分類

  • 網路安全
  • 現場服務
  • 工業機器人
  • 物質的運動
  • 預測性維護和機器檢查
  • 生產計畫
  • 品管
  • 開拓

第8章 製造業人工智慧市場：依最終用戶分類

  • 車
  • 能源和電力
  • 食品/飲料
  • 重金屬及機械製造
  • 藥品
  • 半導體/電子產品

第9章：美洲製造業人工智慧市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第10章：亞太地區製造業人工智慧市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第11章：歐洲、中東和非洲製造業的人工智慧市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第12章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
    • IFS 收購 Falkonry AI
    • 宣佈建立人工智慧驅動的生物相似藥製造夥伴關係
    • 為印度製造業提供動力的人工智慧Start-Ups籌集了 420 萬美元
  • 戰略分析和建議

公司名單

  • 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