Global AI in Manufacturing Market

AI in Manufacturing Comprehensive Study by Type (Hardware (Processor, Memory, Network), Software (AI Solutions, AI Platform), Services (Deployment & Integration, Support & Maintenance)), Application (Predictive Maintenance and Machinery Inspection, Material Movement, Production Planning, Field Services, Quality Control, Cybersecurity, Industrial Robots, Reclaimation), Deployment Mode (Cloud, On-Premise), Industry Vertical (Automobile, Energy and Power, Pharmaceuticals, Heavy Metals and Machine Manufacturing, Semiconductors and Electronics, Food & Beverages, Others), Technology (Machine Learning (Deep Learning, Supervised Learning, Reinforced Learning, Unsupervised Learning, Others), Natural Language Processing, Context-aware Computing, Computer Vision) Players and Region - Global Market Outlook to 2028

AI in Manufacturing Market by XX Submarkets | Forecast Years 2023-2028 | CAGR: 51.25%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About AI in Manufacturing
Due to the COVID-19 pandemic, some manufacturers across the world are presently confronting grave challenges and will likely face continued downward pressure on the demand, production, and revenues as the COVID-19 intensifies in later 2020. Artificial intelligence has been one of the fastest-growing technologies in recent years. Enhancement in automation in the manufacturing industry and the rise in demand for big data integration boost the growth of artificial intelligence in the manufacturing market. According to researchers of the Oxford Martin School, around 47% of the total U.S. employment is at risk owing to the influence of advances in AI. Thus, AI possesses a great threat to humanity, thereby hampering the growth of the artificial intelligence in the manufacturing market.

AttributesDetails
Study Period2018-2028
Base Year2022
High Growth MarketAsia Pacific
UnitValue (USD Billion)
CAGR51.25%


The key market players are adopting various strategies such as product launch and product innovation, to expand their existing product portfolio and maintain competitiveness in the rapidly growing AI marketspace. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global AI in Manufacturing market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

NVIDIA Corporation (United States), IBM Corporation (United States), Alphabet Inc. (Google) (United States), Microsoft Corporation (United States), Intel Corporation (United States), Siemens AG (Germany), Oracle Corporation (United States), Amazon Web Services (United States), SAP SE (Germany), Rockwell Automation Inc. (United States), Cisco Systems Inc., (United States) and General Electric Company (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are General Vision Inc. (United States), Progress Software Corporation (United States), Micron Technology Inc.,(United States), Mitsubishi Electric Corporation (Japan), Sight Machine (United States), AIBrain Inc. (United States), Vicarious Inc. (United States), SparkCognition Inc. (United States), Rethink Robotics (Germany), UBTECH Robotics Corp. (China), Aquant Inc. (Israel), Bright Machines (United States) and Flutura Decision Sciences & Analytics (India)..

Segmentation Overview
AMA Research has segmented the market of Global AI in Manufacturing market by Type (Hardware [Processor, Memory, Network], Software [AI Solutions, AI Platform] and Services [Deployment & Integration, Support & Maintenance]), Application (Predictive Maintenance and Machinery Inspection, Material Movement, Production Planning, Field Services, Quality Control, Cybersecurity, Industrial Robots and Reclaimation) and Region.



On the basis of geography, the market of AI in Manufacturing has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). North America region held largest market share in the year 2022. Europe, on the other hand, stood as the second largest market due to the presence of key companies in the region and high technological advancement. If we see Market by Deployment Mode, the sub-segment i.e. Cloud will boost the AI in Manufacturing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Industry Vertical, the sub-segment i.e. Automobile will boost the AI in Manufacturing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Technology, the sub-segment i.e. Machine Learning [Deep Learning, Supervised Learning, Reinforced Learning, Unsupervised Learning, Others] will boost the AI in Manufacturing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Promising Government Initiatives & Investments in Developing Nations, Improving computing power and Increasing venture capital investments

Market Growth Drivers:
The widespread usage of machine vision cameras in manufacturing applications, Increasingly large and complex dataset and Evolving Industrial IoT and automation

Challenges:
Limited skilled workforce and The significant financial and operational impact of COVID-19 outbreak on manufacturing

Restraints:
Reluctance among manufacturers to adopt AI-based technologies

Opportunities:
Growth in operational efficiency of manufacturing plants, Application of AI for intelligent business process and Adoption of automation technologies to curb the effects of COVID-19




Key Target Audience
Service Providers, Government Regulatory Bodies, Private Research Organization, Government Research Organizations, Research and Development (R&D) Companies, Federal Agencies and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Hardware [Processor, Memory, Network]
  • Software [AI Solutions, AI Platform]
  • Services [Deployment & Integration, Support & Maintenance]
By Application
  • Predictive Maintenance and Machinery Inspection
  • Material Movement
  • Production Planning
  • Field Services
  • Quality Control
  • Cybersecurity
  • Industrial Robots
  • Reclaimation
By Deployment Mode
  • Cloud
  • On-Premise

By Industry Vertical
  • Automobile
  • Energy and Power
  • Pharmaceuticals
  • Heavy Metals and Machine Manufacturing
  • Semiconductors and Electronics
  • Food & Beverages
  • Others

By Technology
  • Machine Learning [Deep Learning, Supervised Learning, Reinforced Learning, Unsupervised Learning, Others]
  • Natural Language Processing
  • Context-aware Computing
  • Computer Vision

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. The widespread usage of machine vision cameras in manufacturing applications
      • 3.2.2. Increasingly large and complex dataset
      • 3.2.3. Evolving Industrial IoT and automation
    • 3.3. Market Challenges
      • 3.3.1. Limited skilled workforce
      • 3.3.2. The significant financial and operational impact of COVID-19 outbreak on manufacturing
    • 3.4. Market Trends
      • 3.4.1. Promising Government Initiatives & Investments in Developing Nations
      • 3.4.2. Improving computing power
      • 3.4.3. Increasing venture capital investments
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global AI in Manufacturing, by Type, Application, Deployment Mode, Industry Vertical, Technology and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global AI in Manufacturing (Value)
      • 5.2.1. Global AI in Manufacturing by: Type (Value)
        • 5.2.1.1. Hardware [Processor, Memory, Network]
        • 5.2.1.2. Software [AI Solutions, AI Platform]
        • 5.2.1.3. Services [Deployment & Integration, Support & Maintenance]
      • 5.2.2. Global AI in Manufacturing by: Application (Value)
        • 5.2.2.1. Predictive Maintenance and Machinery Inspection
        • 5.2.2.2. Material Movement
        • 5.2.2.3. Production Planning
        • 5.2.2.4. Field Services
        • 5.2.2.5. Quality Control
        • 5.2.2.6. Cybersecurity
        • 5.2.2.7. Industrial Robots
        • 5.2.2.8. Reclaimation
      • 5.2.3. Global AI in Manufacturing by: Deployment Mode (Value)
        • 5.2.3.1. Cloud
        • 5.2.3.2. On-Premise
      • 5.2.4. Global AI in Manufacturing by: Industry Vertical (Value)
        • 5.2.4.1. Automobile
        • 5.2.4.2. Energy and Power
        • 5.2.4.3. Pharmaceuticals
        • 5.2.4.4. Heavy Metals and Machine Manufacturing
        • 5.2.4.5. Semiconductors and Electronics
        • 5.2.4.6. Food & Beverages
        • 5.2.4.7. Others
      • 5.2.5. Global AI in Manufacturing by: Technology (Value)
        • 5.2.5.1. Machine Learning [Deep Learning, Supervised Learning, Reinforced Learning, Unsupervised Learning, Others]
        • 5.2.5.2. Natural Language Processing
        • 5.2.5.3. Context-aware Computing
        • 5.2.5.4. Computer Vision
      • 5.2.6. Global AI in Manufacturing Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Taiwan
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
    • 5.3. Global AI in Manufacturing (Price)
      • 5.3.1. Global AI in Manufacturing by: Type (Price)
  • 6. AI in Manufacturing: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. NVIDIA Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. IBM Corporation (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Alphabet Inc. (Google) (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Microsoft Corporation (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Intel Corporation (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Siemens AG (Germany)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Oracle Corporation (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Amazon Web Services (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. SAP SE (Germany)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Rockwell Automation Inc. (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Cisco Systems Inc., (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. General Electric Company (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
  • 7. Global AI in Manufacturing Sale, by Type, Application, Deployment Mode, Industry Vertical, Technology and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global AI in Manufacturing (Value)
      • 7.2.1. Global AI in Manufacturing by: Type (Value)
        • 7.2.1.1. Hardware [Processor, Memory, Network]
        • 7.2.1.2. Software [AI Solutions, AI Platform]
        • 7.2.1.3. Services [Deployment & Integration, Support & Maintenance]
      • 7.2.2. Global AI in Manufacturing by: Application (Value)
        • 7.2.2.1. Predictive Maintenance and Machinery Inspection
        • 7.2.2.2. Material Movement
        • 7.2.2.3. Production Planning
        • 7.2.2.4. Field Services
        • 7.2.2.5. Quality Control
        • 7.2.2.6. Cybersecurity
        • 7.2.2.7. Industrial Robots
        • 7.2.2.8. Reclaimation
      • 7.2.3. Global AI in Manufacturing by: Deployment Mode (Value)
        • 7.2.3.1. Cloud
        • 7.2.3.2. On-Premise
      • 7.2.4. Global AI in Manufacturing by: Industry Vertical (Value)
        • 7.2.4.1. Automobile
        • 7.2.4.2. Energy and Power
        • 7.2.4.3. Pharmaceuticals
        • 7.2.4.4. Heavy Metals and Machine Manufacturing
        • 7.2.4.5. Semiconductors and Electronics
        • 7.2.4.6. Food & Beverages
        • 7.2.4.7. Others
      • 7.2.5. Global AI in Manufacturing by: Technology (Value)
        • 7.2.5.1. Machine Learning [Deep Learning, Supervised Learning, Reinforced Learning, Unsupervised Learning, Others]
        • 7.2.5.2. Natural Language Processing
        • 7.2.5.3. Context-aware Computing
        • 7.2.5.4. Computer Vision
      • 7.2.6. Global AI in Manufacturing Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Taiwan
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. Mexico
    • 7.3. Global AI in Manufacturing (Price)
      • 7.3.1. Global AI in Manufacturing by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. AI in Manufacturing: by Type(USD Billion)
  • Table 2. AI in Manufacturing Hardware [Processor, Memory, Network] , by Region USD Billion (2017-2022)
  • Table 3. AI in Manufacturing Software [AI Solutions, AI Platform] , by Region USD Billion (2017-2022)
  • Table 4. AI in Manufacturing Services [Deployment & Integration, Support & Maintenance] , by Region USD Billion (2017-2022)
  • Table 5. AI in Manufacturing: by Application(USD Billion)
  • Table 6. AI in Manufacturing Predictive Maintenance and Machinery Inspection , by Region USD Billion (2017-2022)
  • Table 7. AI in Manufacturing Material Movement , by Region USD Billion (2017-2022)
  • Table 8. AI in Manufacturing Production Planning , by Region USD Billion (2017-2022)
  • Table 9. AI in Manufacturing Field Services , by Region USD Billion (2017-2022)
  • Table 10. AI in Manufacturing Quality Control , by Region USD Billion (2017-2022)
  • Table 11. AI in Manufacturing Cybersecurity , by Region USD Billion (2017-2022)
  • Table 12. AI in Manufacturing Industrial Robots , by Region USD Billion (2017-2022)
  • Table 13. AI in Manufacturing Reclaimation , by Region USD Billion (2017-2022)
  • Table 14. AI in Manufacturing: by Deployment Mode(USD Billion)
  • Table 15. AI in Manufacturing Cloud , by Region USD Billion (2017-2022)
  • Table 16. AI in Manufacturing On-Premise , by Region USD Billion (2017-2022)
  • Table 17. AI in Manufacturing: by Industry Vertical(USD Billion)
  • Table 18. AI in Manufacturing Automobile , by Region USD Billion (2017-2022)
  • Table 19. AI in Manufacturing Energy and Power , by Region USD Billion (2017-2022)
  • Table 20. AI in Manufacturing Pharmaceuticals , by Region USD Billion (2017-2022)
  • Table 21. AI in Manufacturing Heavy Metals and Machine Manufacturing , by Region USD Billion (2017-2022)
  • Table 22. AI in Manufacturing Semiconductors and Electronics , by Region USD Billion (2017-2022)
  • Table 23. AI in Manufacturing Food & Beverages , by Region USD Billion (2017-2022)
  • Table 24. AI in Manufacturing Others , by Region USD Billion (2017-2022)
  • Table 25. AI in Manufacturing: by Technology(USD Billion)
  • Table 26. AI in Manufacturing Machine Learning [Deep Learning, Supervised Learning, Reinforced Learning, Unsupervised Learning, Others] , by Region USD Billion (2017-2022)
  • Table 27. AI in Manufacturing Natural Language Processing , by Region USD Billion (2017-2022)
  • Table 28. AI in Manufacturing Context-aware Computing , by Region USD Billion (2017-2022)
  • Table 29. AI in Manufacturing Computer Vision , by Region USD Billion (2017-2022)
  • Table 30. South America AI in Manufacturing, by Country USD Billion (2017-2022)
  • Table 31. South America AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 32. South America AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 33. South America AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 34. South America AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 35. South America AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 36. Brazil AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 37. Brazil AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 38. Brazil AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 39. Brazil AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 40. Brazil AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 41. Argentina AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 42. Argentina AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 43. Argentina AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 44. Argentina AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 45. Argentina AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 46. Rest of South America AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 47. Rest of South America AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 48. Rest of South America AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 49. Rest of South America AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 50. Rest of South America AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 51. Asia Pacific AI in Manufacturing, by Country USD Billion (2017-2022)
  • Table 52. Asia Pacific AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 53. Asia Pacific AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 54. Asia Pacific AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 55. Asia Pacific AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 56. Asia Pacific AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 57. China AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 58. China AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 59. China AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 60. China AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 61. China AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 62. Japan AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 63. Japan AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 64. Japan AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 65. Japan AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 66. Japan AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 67. India AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 68. India AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 69. India AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 70. India AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 71. India AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 72. South Korea AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 73. South Korea AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 74. South Korea AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 75. South Korea AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 76. South Korea AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 77. Taiwan AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 78. Taiwan AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 79. Taiwan AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 80. Taiwan AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 81. Taiwan AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 82. Australia AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 83. Australia AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 84. Australia AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 85. Australia AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 86. Australia AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 87. Rest of Asia-Pacific AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 88. Rest of Asia-Pacific AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 89. Rest of Asia-Pacific AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 90. Rest of Asia-Pacific AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 91. Rest of Asia-Pacific AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 92. Europe AI in Manufacturing, by Country USD Billion (2017-2022)
  • Table 93. Europe AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 94. Europe AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 95. Europe AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 96. Europe AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 97. Europe AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 98. Germany AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 99. Germany AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 100. Germany AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 101. Germany AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 102. Germany AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 103. France AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 104. France AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 105. France AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 106. France AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 107. France AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 108. Italy AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 109. Italy AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 110. Italy AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 111. Italy AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 112. Italy AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 113. United Kingdom AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 114. United Kingdom AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 115. United Kingdom AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 116. United Kingdom AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 117. United Kingdom AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 118. Netherlands AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 119. Netherlands AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 120. Netherlands AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 121. Netherlands AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 122. Netherlands AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 123. Rest of Europe AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 124. Rest of Europe AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 125. Rest of Europe AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 126. Rest of Europe AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 127. Rest of Europe AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 128. MEA AI in Manufacturing, by Country USD Billion (2017-2022)
  • Table 129. MEA AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 130. MEA AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 131. MEA AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 132. MEA AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 133. MEA AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 134. Middle East AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 135. Middle East AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 136. Middle East AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 137. Middle East AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 138. Middle East AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 139. Africa AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 140. Africa AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 141. Africa AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 142. Africa AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 143. Africa AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 144. North America AI in Manufacturing, by Country USD Billion (2017-2022)
  • Table 145. North America AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 146. North America AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 147. North America AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 148. North America AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 149. North America AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 150. United States AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 151. United States AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 152. United States AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 153. United States AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 154. United States AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 155. Canada AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 156. Canada AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 157. Canada AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 158. Canada AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 159. Canada AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 160. Mexico AI in Manufacturing, by Type USD Billion (2017-2022)
  • Table 161. Mexico AI in Manufacturing, by Application USD Billion (2017-2022)
  • Table 162. Mexico AI in Manufacturing, by Deployment Mode USD Billion (2017-2022)
  • Table 163. Mexico AI in Manufacturing, by Industry Vertical USD Billion (2017-2022)
  • Table 164. Mexico AI in Manufacturing, by Technology USD Billion (2017-2022)
  • Table 165. AI in Manufacturing: by Type(USD/Units)
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Company Basic Information, Sales Area and Its Competitors
  • Table 169. Company Basic Information, Sales Area and Its Competitors
  • Table 170. Company Basic Information, Sales Area and Its Competitors
  • Table 171. Company Basic Information, Sales Area and Its Competitors
  • Table 172. Company Basic Information, Sales Area and Its Competitors
  • Table 173. Company Basic Information, Sales Area and Its Competitors
  • Table 174. Company Basic Information, Sales Area and Its Competitors
  • Table 175. Company Basic Information, Sales Area and Its Competitors
  • Table 176. Company Basic Information, Sales Area and Its Competitors
  • Table 177. Company Basic Information, Sales Area and Its Competitors
  • Table 178. AI in Manufacturing: by Type(USD Billion)
  • Table 179. AI in Manufacturing Hardware [Processor, Memory, Network] , by Region USD Billion (2023-2028)
  • Table 180. AI in Manufacturing Software [AI Solutions, AI Platform] , by Region USD Billion (2023-2028)
  • Table 181. AI in Manufacturing Services [Deployment & Integration, Support & Maintenance] , by Region USD Billion (2023-2028)
  • Table 182. AI in Manufacturing: by Application(USD Billion)
  • Table 183. AI in Manufacturing Predictive Maintenance and Machinery Inspection , by Region USD Billion (2023-2028)
  • Table 184. AI in Manufacturing Material Movement , by Region USD Billion (2023-2028)
  • Table 185. AI in Manufacturing Production Planning , by Region USD Billion (2023-2028)
  • Table 186. AI in Manufacturing Field Services , by Region USD Billion (2023-2028)
  • Table 187. AI in Manufacturing Quality Control , by Region USD Billion (2023-2028)
  • Table 188. AI in Manufacturing Cybersecurity , by Region USD Billion (2023-2028)
  • Table 189. AI in Manufacturing Industrial Robots , by Region USD Billion (2023-2028)
  • Table 190. AI in Manufacturing Reclaimation , by Region USD Billion (2023-2028)
  • Table 191. AI in Manufacturing: by Deployment Mode(USD Billion)
  • Table 192. AI in Manufacturing Cloud , by Region USD Billion (2023-2028)
  • Table 193. AI in Manufacturing On-Premise , by Region USD Billion (2023-2028)
  • Table 194. AI in Manufacturing: by Industry Vertical(USD Billion)
  • Table 195. AI in Manufacturing Automobile , by Region USD Billion (2023-2028)
  • Table 196. AI in Manufacturing Energy and Power , by Region USD Billion (2023-2028)
  • Table 197. AI in Manufacturing Pharmaceuticals , by Region USD Billion (2023-2028)
  • Table 198. AI in Manufacturing Heavy Metals and Machine Manufacturing , by Region USD Billion (2023-2028)
  • Table 199. AI in Manufacturing Semiconductors and Electronics , by Region USD Billion (2023-2028)
  • Table 200. AI in Manufacturing Food & Beverages , by Region USD Billion (2023-2028)
  • Table 201. AI in Manufacturing Others , by Region USD Billion (2023-2028)
  • Table 202. AI in Manufacturing: by Technology(USD Billion)
  • Table 203. AI in Manufacturing Machine Learning [Deep Learning, Supervised Learning, Reinforced Learning, Unsupervised Learning, Others] , by Region USD Billion (2023-2028)
  • Table 204. AI in Manufacturing Natural Language Processing , by Region USD Billion (2023-2028)
  • Table 205. AI in Manufacturing Context-aware Computing , by Region USD Billion (2023-2028)
  • Table 206. AI in Manufacturing Computer Vision , by Region USD Billion (2023-2028)
  • Table 207. South America AI in Manufacturing, by Country USD Billion (2023-2028)
  • Table 208. South America AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 209. South America AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 210. South America AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 211. South America AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 212. South America AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 213. Brazil AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 214. Brazil AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 215. Brazil AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 216. Brazil AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 217. Brazil AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 218. Argentina AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 219. Argentina AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 220. Argentina AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 221. Argentina AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 222. Argentina AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 223. Rest of South America AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 224. Rest of South America AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 225. Rest of South America AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 226. Rest of South America AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 227. Rest of South America AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 228. Asia Pacific AI in Manufacturing, by Country USD Billion (2023-2028)
  • Table 229. Asia Pacific AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 230. Asia Pacific AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 231. Asia Pacific AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 232. Asia Pacific AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 233. Asia Pacific AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 234. China AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 235. China AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 236. China AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 237. China AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 238. China AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 239. Japan AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 240. Japan AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 241. Japan AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 242. Japan AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 243. Japan AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 244. India AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 245. India AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 246. India AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 247. India AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 248. India AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 249. South Korea AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 250. South Korea AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 251. South Korea AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 252. South Korea AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 253. South Korea AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 254. Taiwan AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 255. Taiwan AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 256. Taiwan AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 257. Taiwan AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 258. Taiwan AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 259. Australia AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 260. Australia AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 261. Australia AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 262. Australia AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 263. Australia AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 264. Rest of Asia-Pacific AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 265. Rest of Asia-Pacific AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 266. Rest of Asia-Pacific AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 267. Rest of Asia-Pacific AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 268. Rest of Asia-Pacific AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 269. Europe AI in Manufacturing, by Country USD Billion (2023-2028)
  • Table 270. Europe AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 271. Europe AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 272. Europe AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 273. Europe AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 274. Europe AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 275. Germany AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 276. Germany AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 277. Germany AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 278. Germany AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 279. Germany AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 280. France AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 281. France AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 282. France AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 283. France AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 284. France AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 285. Italy AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 286. Italy AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 287. Italy AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 288. Italy AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 289. Italy AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 290. United Kingdom AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 291. United Kingdom AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 292. United Kingdom AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 293. United Kingdom AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 294. United Kingdom AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 295. Netherlands AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 296. Netherlands AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 297. Netherlands AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 298. Netherlands AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 299. Netherlands AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 300. Rest of Europe AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 301. Rest of Europe AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 302. Rest of Europe AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 303. Rest of Europe AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 304. Rest of Europe AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 305. MEA AI in Manufacturing, by Country USD Billion (2023-2028)
  • Table 306. MEA AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 307. MEA AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 308. MEA AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 309. MEA AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 310. MEA AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 311. Middle East AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 312. Middle East AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 313. Middle East AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 314. Middle East AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 315. Middle East AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 316. Africa AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 317. Africa AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 318. Africa AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 319. Africa AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 320. Africa AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 321. North America AI in Manufacturing, by Country USD Billion (2023-2028)
  • Table 322. North America AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 323. North America AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 324. North America AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 325. North America AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 326. North America AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 327. United States AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 328. United States AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 329. United States AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 330. United States AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 331. United States AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 332. Canada AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 333. Canada AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 334. Canada AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 335. Canada AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 336. Canada AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 337. Mexico AI in Manufacturing, by Type USD Billion (2023-2028)
  • Table 338. Mexico AI in Manufacturing, by Application USD Billion (2023-2028)
  • Table 339. Mexico AI in Manufacturing, by Deployment Mode USD Billion (2023-2028)
  • Table 340. Mexico AI in Manufacturing, by Industry Vertical USD Billion (2023-2028)
  • Table 341. Mexico AI in Manufacturing, by Technology USD Billion (2023-2028)
  • Table 342. AI in Manufacturing: by Type(USD/Units)
  • Table 343. Research Programs/Design for This Report
  • Table 344. Key Data Information from Secondary Sources
  • Table 345. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global AI in Manufacturing: by Type USD Billion (2017-2022)
  • Figure 5. Global AI in Manufacturing: by Application USD Billion (2017-2022)
  • Figure 6. Global AI in Manufacturing: by Deployment Mode USD Billion (2017-2022)
  • Figure 7. Global AI in Manufacturing: by Industry Vertical USD Billion (2017-2022)
  • Figure 8. Global AI in Manufacturing: by Technology USD Billion (2017-2022)
  • Figure 9. South America AI in Manufacturing Share (%), by Country
  • Figure 10. Asia Pacific AI in Manufacturing Share (%), by Country
  • Figure 11. Europe AI in Manufacturing Share (%), by Country
  • Figure 12. MEA AI in Manufacturing Share (%), by Country
  • Figure 13. North America AI in Manufacturing Share (%), by Country
  • Figure 14. Global AI in Manufacturing: by Type USD/Units (2017-2022)
  • Figure 15. Global AI in Manufacturing share by Players 2022 (%)
  • Figure 16. Global AI in Manufacturing share by Players (Top 3) 2022(%)
  • Figure 17. Global AI in Manufacturing share by Players (Top 5) 2022(%)
  • Figure 18. BCG Matrix for key Companies
  • Figure 19. NVIDIA Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. NVIDIA Corporation (United States) Revenue: by Geography 2022
  • Figure 21. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. IBM Corporation (United States) Revenue: by Geography 2022
  • Figure 23. Alphabet Inc. (Google) (United States) Revenue, Net Income and Gross profit
  • Figure 24. Alphabet Inc. (Google) (United States) Revenue: by Geography 2022
  • Figure 25. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 26. Microsoft Corporation (United States) Revenue: by Geography 2022
  • Figure 27. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 28. Intel Corporation (United States) Revenue: by Geography 2022
  • Figure 29. Siemens AG (Germany) Revenue, Net Income and Gross profit
  • Figure 30. Siemens AG (Germany) Revenue: by Geography 2022
  • Figure 31. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 32. Oracle Corporation (United States) Revenue: by Geography 2022
  • Figure 33. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 34. Amazon Web Services (United States) Revenue: by Geography 2022
  • Figure 35. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 36. SAP SE (Germany) Revenue: by Geography 2022
  • Figure 37. Rockwell Automation Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 38. Rockwell Automation Inc. (United States) Revenue: by Geography 2022
  • Figure 39. Cisco Systems Inc., (United States) Revenue, Net Income and Gross profit
  • Figure 40. Cisco Systems Inc., (United States) Revenue: by Geography 2022
  • Figure 41. General Electric Company (United States) Revenue, Net Income and Gross profit
  • Figure 42. General Electric Company (United States) Revenue: by Geography 2022
  • Figure 43. Global AI in Manufacturing: by Type USD Billion (2023-2028)
  • Figure 44. Global AI in Manufacturing: by Application USD Billion (2023-2028)
  • Figure 45. Global AI in Manufacturing: by Deployment Mode USD Billion (2023-2028)
  • Figure 46. Global AI in Manufacturing: by Industry Vertical USD Billion (2023-2028)
  • Figure 47. Global AI in Manufacturing: by Technology USD Billion (2023-2028)
  • Figure 48. South America AI in Manufacturing Share (%), by Country
  • Figure 49. Asia Pacific AI in Manufacturing Share (%), by Country
  • Figure 50. Europe AI in Manufacturing Share (%), by Country
  • Figure 51. MEA AI in Manufacturing Share (%), by Country
  • Figure 52. North America AI in Manufacturing Share (%), by Country
  • Figure 53. Global AI in Manufacturing: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • NVIDIA Corporation (United States)
  • IBM Corporation (United States)
  • Alphabet Inc. (Google) (United States)
  • Microsoft Corporation (United States)
  • Intel Corporation (United States)
  • Siemens AG (Germany)
  • Oracle Corporation (United States)
  • Amazon Web Services (United States)
  • SAP SE (Germany)
  • Rockwell Automation Inc. (United States)
  • Cisco Systems Inc., (United States)
  • General Electric Company (United States)
Additional players considered in the study are as follows:
General Vision Inc. (United States) , Progress Software Corporation (United States) , Micron Technology Inc.,(United States) , Mitsubishi Electric Corporation (Japan) , Sight Machine (United States) , AIBrain Inc. (United States) , Vicarious Inc. (United States) , SparkCognition Inc. (United States) , Rethink Robotics (Germany) , UBTECH Robotics Corp. (China) , Aquant Inc. (Israel) , Bright Machines (United States) , Flutura Decision Sciences & Analytics (India).
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Global AI in Manufacturing Market Quantitative research analysis
Global AI in Manufacturing Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as NVIDIA Corporation (United States), IBM Corporation (United States), Alphabet Inc. (Google) (United States), Microsoft Corporation (United States), Intel Corporation (United States), Siemens AG (Germany), Oracle Corporation (United States), Amazon Web Services (United States), SAP SE (Germany), Rockwell Automation Inc. (United States), Cisco Systems Inc., (United States) and General Electric Company (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Promising Government Initiatives & Investments in Developing Nations " is seen as one of major influencing trends for AI in Manufacturing Market during projected period 2022-2028.
The AI in Manufacturing market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.
Analysts at AMA estimates AI in Manufacturing Market to reach USD1.1 Billion by 2028.

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