Global AI in IoT Market

AI in IoT Comprehensive Study by Vertical (Manufacturing, Energy and Utilities, Transportation and Mobility, Banking, Financial Services, and Insurance, Government and Defense, Retail, Healthcare and Life Sciences, Others), Technology (Ml and Deep Learning, Natural Language Processing), Component (Platforms {Device Management, Application Management, Connectivity Management}, Software Solutions {Real-Time Streaming Analytics, Security, Data Management, Remote Monitoring, Network Bandwidth Management, Edge Solution}, Services {Professional Services (Deployment and Integration, Support and Maintenance, Training and Consulting), Managed Services}) Players and Region - Global Market Outlook to 2028

AI in IoT Market by XX Submarkets | Forecast Years 2023-2028 | CAGR: 26.2%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
IoT is about connecting machines and making use of the data generated from those machines. Artificial Intelligence (AI) is about simulating intelligent behavior in machines of all kinds. Clearly an overlap. As IoT devices will generate vast amounts of data, then AI will be functionally necessary to deal with these huge volumes. Data is only useful if it creates an action. To make data actionable, it needs to be supplemented with context and creativity. Based on the component, the market has been segmented into platforms, software solutions, and services. Based on technology, the market has been classified into Ml and deep learning and natural language processing.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Billion)
Key Companies ProfiledIBM (United States), Microsoft (United States), Google (United States), PTC (United States), AWS, Inc. (United States), Oracle (United States), General Electric (United States), Salesforce (United States), SAP (Germany) and Hitachi (Japan)


According to AMA, the market for AI in IoT is expected to register a CAGR of 26.2% during the forecast period to 2028. This growth is primarily driven by Effective Management of Data Generated From IoT Devices to Gain Valuable Insights and Reduced Maintenance Cost and Downtime.

Globally, a noticeable market trend is evident The Use of Automated Vacuum Cleaners The Internet Software & Services sector in the North America region has been increasing at a sustainable rate, and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as IBM (United States), Microsoft (United States), Google (United States), PTC (United States), AWS, Inc. (United States), Oracle (United States), General Electric (United States), Salesforce (United States), SAP (Germany) and Hitachi (Japan), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years. AI in IoT market companies operating in these industries are focusing more on efficient growth, improvement of operational efficiency and productivity, achieving high safety standards, and focusing on maintaining sustainable development. The market is highly competitive with a few players occupying the major share. The key players are highly focused on developing and innovating new strategies to maintain their market position and customer base. The companies are coming up with partnerships or agreements along with planning strategic activities such as partnerships, product launches, mergers, and acquisitions which will help them to sustain in the market and maintain their competitive edge.

Key Developments in the Market:
On 27 March 2019, Amazon Web Services (AWS), an Amazon.com company, and the Volkswagen Group announced a multi-year, global agreement to build the Volkswagen Industrial Cloud, a cloud-based Industrial digital production platform that will transform the automotive company’s manufacturing and logistics processes. Volkswagen will rely upon the breadth and depth of AWS’s portfolio of services, including IoT, machine learning, analytics, and computer services to increase plant efficiency and uptime, improve production flexibility, and increase vehicle quality. and On 20 Nov 2018, PTC has announced that it has acquired Frustum Inc., an advanced generative design software company, for approximately 70 million USD. Frustum’s technology for generative design, an approach that leverages artificial intelligence (AI) to generate design options is a transformative addition to the PTC Creo portfolio.
On 24 April 2019, IBM has announced a collaboration with Sund & Bælt, which owns and operates some of the largest infrastructures in the world, to assist in IBM's development of an AI-powered IoT solution designed to help prolong the lifespan of aging bridges, tunnels, highways, and railways., On 19 March 2019, Salesforce, the global leader in CRM, has announced new artificial intelligence and productivity solutions that empower customer service agents to focus more of their time on the human side of service, tasks that require social intelligence, critical thinking, and creative problem-solving skills. and On 23 Oct 2018, Oracle has announced to continued advancements in emerging technologies across Oracle Cloud, including artificial intelligence (AI), machine learning, blockchain, IoT, and human interfaces.

Influencing Trend:
The Use of Automated Vacuum Cleaners and Increased Self-driving vehicles

Market Growth Drivers:
Effective Management of Data Generated From IoT Devices to Gain Valuable Insights and Reduced Maintenance Cost and Downtime

Challenges:
Data Security and Privacy Issues and Maintenance and Update Issues

Restraints:
Lack of Skilled Workforce

Opportunities:
Real-Time Monitoring to Deliver an Exceptional Customer Experience

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints in AI in IoT Market
- Analysis about New Entrants in AI in IoT Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis
- An Unbiased Perspective towards Market Performance & Indicators

Against this Challenging Backdrop, AI in IoT Study Sheds Light on
— The AI in IoT Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the AI in IoT industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where AI in IoT industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Vertical
  • Manufacturing
  • Energy and Utilities
  • Transportation and Mobility
  • Banking, Financial Services, and Insurance
  • Government and Defense
  • Retail
  • Healthcare and Life Sciences
  • Others

By Technology
  • Ml and Deep Learning
  • Natural Language Processing

By Component
  • Platforms {Device Management, Application Management, Connectivity Management}
  • Software Solutions {Real-Time Streaming Analytics, Security, Data Management, Remote Monitoring, Network Bandwidth Management, Edge Solution}
  • Services {Professional Services (Deployment and Integration, Support and Maintenance, Training and Consulting), Managed Services}

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. Effective Management of Data Generated From IoT Devices to Gain Valuable Insights
      • 3.2.2. Reduced Maintenance Cost and Downtime
    • 3.3. Market Challenges
      • 3.3.1. Data Security and Privacy Issues
      • 3.3.2. Maintenance and Update Issues
    • 3.4. Market Trends
      • 3.4.1. The Use of Automated Vacuum Cleaners
      • 3.4.2. Increased Self-driving vehicles
  • 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 IoT, by Vertical, Technology, Component and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global AI in IoT (Value)
      • 5.2.1. Global AI in IoT by: Vertical (Value)
        • 5.2.1.1. Manufacturing
        • 5.2.1.2. Energy and Utilities
        • 5.2.1.3. Transportation and Mobility
        • 5.2.1.4. Banking, Financial Services, and Insurance
        • 5.2.1.5. Government and Defense
        • 5.2.1.6. Retail
        • 5.2.1.7. Healthcare and Life Sciences
        • 5.2.1.8. Others
      • 5.2.2. Global AI in IoT by: Technology (Value)
        • 5.2.2.1. Ml and Deep Learning
        • 5.2.2.2. Natural Language Processing
      • 5.2.3. Global AI in IoT by: Component (Value)
        • 5.2.3.1. Platforms {Device Management, Application Management, Connectivity Management}
        • 5.2.3.2. Software Solutions {Real-Time Streaming Analytics, Security, Data Management, Remote Monitoring, Network Bandwidth Management, Edge Solution}
        • 5.2.3.3. Services {Professional Services (Deployment and Integration, Support and Maintenance, Training and Consulting), Managed Services}
      • 5.2.4. Global AI in IoT Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. AI in IoT: 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. IBM (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. Microsoft (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. 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. PTC (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. AWS, Inc. (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. Oracle (United States)
        • 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. General Electric (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. Salesforce (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 (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. Hitachi (Japan)
        • 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
  • 7. Global AI in IoT Sale, by Vertical, Technology, Component and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global AI in IoT (Value)
      • 7.2.1. Global AI in IoT by: Vertical (Value)
        • 7.2.1.1. Manufacturing
        • 7.2.1.2. Energy and Utilities
        • 7.2.1.3. Transportation and Mobility
        • 7.2.1.4. Banking, Financial Services, and Insurance
        • 7.2.1.5. Government and Defense
        • 7.2.1.6. Retail
        • 7.2.1.7. Healthcare and Life Sciences
        • 7.2.1.8. Others
      • 7.2.2. Global AI in IoT by: Technology (Value)
        • 7.2.2.1. Ml and Deep Learning
        • 7.2.2.2. Natural Language Processing
      • 7.2.3. Global AI in IoT by: Component (Value)
        • 7.2.3.1. Platforms {Device Management, Application Management, Connectivity Management}
        • 7.2.3.2. Software Solutions {Real-Time Streaming Analytics, Security, Data Management, Remote Monitoring, Network Bandwidth Management, Edge Solution}
        • 7.2.3.3. Services {Professional Services (Deployment and Integration, Support and Maintenance, Training and Consulting), Managed Services}
      • 7.2.4. Global AI in IoT Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 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 IoT: by Vertical(USD Billion)
  • Table 2. AI in IoT Manufacturing , by Region USD Billion (2017-2022)
  • Table 3. AI in IoT Energy and Utilities , by Region USD Billion (2017-2022)
  • Table 4. AI in IoT Transportation and Mobility , by Region USD Billion (2017-2022)
  • Table 5. AI in IoT Banking, Financial Services, and Insurance , by Region USD Billion (2017-2022)
  • Table 6. AI in IoT Government and Defense , by Region USD Billion (2017-2022)
  • Table 7. AI in IoT Retail , by Region USD Billion (2017-2022)
  • Table 8. AI in IoT Healthcare and Life Sciences , by Region USD Billion (2017-2022)
  • Table 9. AI in IoT Others , by Region USD Billion (2017-2022)
  • Table 10. AI in IoT: by Technology(USD Billion)
  • Table 11. AI in IoT Ml and Deep Learning , by Region USD Billion (2017-2022)
  • Table 12. AI in IoT Natural Language Processing , by Region USD Billion (2017-2022)
  • Table 13. AI in IoT: by Component(USD Billion)
  • Table 14. AI in IoT Platforms {Device Management, Application Management, Connectivity Management} , by Region USD Billion (2017-2022)
  • Table 15. AI in IoT Software Solutions {Real-Time Streaming Analytics, Security, Data Management, Remote Monitoring, Network Bandwidth Management, Edge Solution} , by Region USD Billion (2017-2022)
  • Table 16. AI in IoT Services {Professional Services (Deployment and Integration, Support and Maintenance, Training and Consulting), Managed Services} , by Region USD Billion (2017-2022)
  • Table 17. South America AI in IoT, by Country USD Billion (2017-2022)
  • Table 18. South America AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 19. South America AI in IoT, by Technology USD Billion (2017-2022)
  • Table 20. South America AI in IoT, by Component USD Billion (2017-2022)
  • Table 21. Brazil AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 22. Brazil AI in IoT, by Technology USD Billion (2017-2022)
  • Table 23. Brazil AI in IoT, by Component USD Billion (2017-2022)
  • Table 24. Argentina AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 25. Argentina AI in IoT, by Technology USD Billion (2017-2022)
  • Table 26. Argentina AI in IoT, by Component USD Billion (2017-2022)
  • Table 27. Rest of South America AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 28. Rest of South America AI in IoT, by Technology USD Billion (2017-2022)
  • Table 29. Rest of South America AI in IoT, by Component USD Billion (2017-2022)
  • Table 30. Asia Pacific AI in IoT, by Country USD Billion (2017-2022)
  • Table 31. Asia Pacific AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 32. Asia Pacific AI in IoT, by Technology USD Billion (2017-2022)
  • Table 33. Asia Pacific AI in IoT, by Component USD Billion (2017-2022)
  • Table 34. China AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 35. China AI in IoT, by Technology USD Billion (2017-2022)
  • Table 36. China AI in IoT, by Component USD Billion (2017-2022)
  • Table 37. Japan AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 38. Japan AI in IoT, by Technology USD Billion (2017-2022)
  • Table 39. Japan AI in IoT, by Component USD Billion (2017-2022)
  • Table 40. India AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 41. India AI in IoT, by Technology USD Billion (2017-2022)
  • Table 42. India AI in IoT, by Component USD Billion (2017-2022)
  • Table 43. South Korea AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 44. South Korea AI in IoT, by Technology USD Billion (2017-2022)
  • Table 45. South Korea AI in IoT, by Component USD Billion (2017-2022)
  • Table 46. Taiwan AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 47. Taiwan AI in IoT, by Technology USD Billion (2017-2022)
  • Table 48. Taiwan AI in IoT, by Component USD Billion (2017-2022)
  • Table 49. Australia AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 50. Australia AI in IoT, by Technology USD Billion (2017-2022)
  • Table 51. Australia AI in IoT, by Component USD Billion (2017-2022)
  • Table 52. Rest of Asia-Pacific AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 53. Rest of Asia-Pacific AI in IoT, by Technology USD Billion (2017-2022)
  • Table 54. Rest of Asia-Pacific AI in IoT, by Component USD Billion (2017-2022)
  • Table 55. Europe AI in IoT, by Country USD Billion (2017-2022)
  • Table 56. Europe AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 57. Europe AI in IoT, by Technology USD Billion (2017-2022)
  • Table 58. Europe AI in IoT, by Component USD Billion (2017-2022)
  • Table 59. Germany AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 60. Germany AI in IoT, by Technology USD Billion (2017-2022)
  • Table 61. Germany AI in IoT, by Component USD Billion (2017-2022)
  • Table 62. France AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 63. France AI in IoT, by Technology USD Billion (2017-2022)
  • Table 64. France AI in IoT, by Component USD Billion (2017-2022)
  • Table 65. Italy AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 66. Italy AI in IoT, by Technology USD Billion (2017-2022)
  • Table 67. Italy AI in IoT, by Component USD Billion (2017-2022)
  • Table 68. United Kingdom AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 69. United Kingdom AI in IoT, by Technology USD Billion (2017-2022)
  • Table 70. United Kingdom AI in IoT, by Component USD Billion (2017-2022)
  • Table 71. Netherlands AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 72. Netherlands AI in IoT, by Technology USD Billion (2017-2022)
  • Table 73. Netherlands AI in IoT, by Component USD Billion (2017-2022)
  • Table 74. Rest of Europe AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 75. Rest of Europe AI in IoT, by Technology USD Billion (2017-2022)
  • Table 76. Rest of Europe AI in IoT, by Component USD Billion (2017-2022)
  • Table 77. MEA AI in IoT, by Country USD Billion (2017-2022)
  • Table 78. MEA AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 79. MEA AI in IoT, by Technology USD Billion (2017-2022)
  • Table 80. MEA AI in IoT, by Component USD Billion (2017-2022)
  • Table 81. Middle East AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 82. Middle East AI in IoT, by Technology USD Billion (2017-2022)
  • Table 83. Middle East AI in IoT, by Component USD Billion (2017-2022)
  • Table 84. Africa AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 85. Africa AI in IoT, by Technology USD Billion (2017-2022)
  • Table 86. Africa AI in IoT, by Component USD Billion (2017-2022)
  • Table 87. North America AI in IoT, by Country USD Billion (2017-2022)
  • Table 88. North America AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 89. North America AI in IoT, by Technology USD Billion (2017-2022)
  • Table 90. North America AI in IoT, by Component USD Billion (2017-2022)
  • Table 91. United States AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 92. United States AI in IoT, by Technology USD Billion (2017-2022)
  • Table 93. United States AI in IoT, by Component USD Billion (2017-2022)
  • Table 94. Canada AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 95. Canada AI in IoT, by Technology USD Billion (2017-2022)
  • Table 96. Canada AI in IoT, by Component USD Billion (2017-2022)
  • Table 97. Mexico AI in IoT, by Vertical USD Billion (2017-2022)
  • Table 98. Mexico AI in IoT, by Technology USD Billion (2017-2022)
  • Table 99. Mexico AI in IoT, by Component USD Billion (2017-2022)
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. AI in IoT: by Vertical(USD Billion)
  • Table 111. AI in IoT Manufacturing , by Region USD Billion (2023-2028)
  • Table 112. AI in IoT Energy and Utilities , by Region USD Billion (2023-2028)
  • Table 113. AI in IoT Transportation and Mobility , by Region USD Billion (2023-2028)
  • Table 114. AI in IoT Banking, Financial Services, and Insurance , by Region USD Billion (2023-2028)
  • Table 115. AI in IoT Government and Defense , by Region USD Billion (2023-2028)
  • Table 116. AI in IoT Retail , by Region USD Billion (2023-2028)
  • Table 117. AI in IoT Healthcare and Life Sciences , by Region USD Billion (2023-2028)
  • Table 118. AI in IoT Others , by Region USD Billion (2023-2028)
  • Table 119. AI in IoT: by Technology(USD Billion)
  • Table 120. AI in IoT Ml and Deep Learning , by Region USD Billion (2023-2028)
  • Table 121. AI in IoT Natural Language Processing , by Region USD Billion (2023-2028)
  • Table 122. AI in IoT: by Component(USD Billion)
  • Table 123. AI in IoT Platforms {Device Management, Application Management, Connectivity Management} , by Region USD Billion (2023-2028)
  • Table 124. AI in IoT Software Solutions {Real-Time Streaming Analytics, Security, Data Management, Remote Monitoring, Network Bandwidth Management, Edge Solution} , by Region USD Billion (2023-2028)
  • Table 125. AI in IoT Services {Professional Services (Deployment and Integration, Support and Maintenance, Training and Consulting), Managed Services} , by Region USD Billion (2023-2028)
  • Table 126. South America AI in IoT, by Country USD Billion (2023-2028)
  • Table 127. South America AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 128. South America AI in IoT, by Technology USD Billion (2023-2028)
  • Table 129. South America AI in IoT, by Component USD Billion (2023-2028)
  • Table 130. Brazil AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 131. Brazil AI in IoT, by Technology USD Billion (2023-2028)
  • Table 132. Brazil AI in IoT, by Component USD Billion (2023-2028)
  • Table 133. Argentina AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 134. Argentina AI in IoT, by Technology USD Billion (2023-2028)
  • Table 135. Argentina AI in IoT, by Component USD Billion (2023-2028)
  • Table 136. Rest of South America AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 137. Rest of South America AI in IoT, by Technology USD Billion (2023-2028)
  • Table 138. Rest of South America AI in IoT, by Component USD Billion (2023-2028)
  • Table 139. Asia Pacific AI in IoT, by Country USD Billion (2023-2028)
  • Table 140. Asia Pacific AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 141. Asia Pacific AI in IoT, by Technology USD Billion (2023-2028)
  • Table 142. Asia Pacific AI in IoT, by Component USD Billion (2023-2028)
  • Table 143. China AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 144. China AI in IoT, by Technology USD Billion (2023-2028)
  • Table 145. China AI in IoT, by Component USD Billion (2023-2028)
  • Table 146. Japan AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 147. Japan AI in IoT, by Technology USD Billion (2023-2028)
  • Table 148. Japan AI in IoT, by Component USD Billion (2023-2028)
  • Table 149. India AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 150. India AI in IoT, by Technology USD Billion (2023-2028)
  • Table 151. India AI in IoT, by Component USD Billion (2023-2028)
  • Table 152. South Korea AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 153. South Korea AI in IoT, by Technology USD Billion (2023-2028)
  • Table 154. South Korea AI in IoT, by Component USD Billion (2023-2028)
  • Table 155. Taiwan AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 156. Taiwan AI in IoT, by Technology USD Billion (2023-2028)
  • Table 157. Taiwan AI in IoT, by Component USD Billion (2023-2028)
  • Table 158. Australia AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 159. Australia AI in IoT, by Technology USD Billion (2023-2028)
  • Table 160. Australia AI in IoT, by Component USD Billion (2023-2028)
  • Table 161. Rest of Asia-Pacific AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 162. Rest of Asia-Pacific AI in IoT, by Technology USD Billion (2023-2028)
  • Table 163. Rest of Asia-Pacific AI in IoT, by Component USD Billion (2023-2028)
  • Table 164. Europe AI in IoT, by Country USD Billion (2023-2028)
  • Table 165. Europe AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 166. Europe AI in IoT, by Technology USD Billion (2023-2028)
  • Table 167. Europe AI in IoT, by Component USD Billion (2023-2028)
  • Table 168. Germany AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 169. Germany AI in IoT, by Technology USD Billion (2023-2028)
  • Table 170. Germany AI in IoT, by Component USD Billion (2023-2028)
  • Table 171. France AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 172. France AI in IoT, by Technology USD Billion (2023-2028)
  • Table 173. France AI in IoT, by Component USD Billion (2023-2028)
  • Table 174. Italy AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 175. Italy AI in IoT, by Technology USD Billion (2023-2028)
  • Table 176. Italy AI in IoT, by Component USD Billion (2023-2028)
  • Table 177. United Kingdom AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 178. United Kingdom AI in IoT, by Technology USD Billion (2023-2028)
  • Table 179. United Kingdom AI in IoT, by Component USD Billion (2023-2028)
  • Table 180. Netherlands AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 181. Netherlands AI in IoT, by Technology USD Billion (2023-2028)
  • Table 182. Netherlands AI in IoT, by Component USD Billion (2023-2028)
  • Table 183. Rest of Europe AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 184. Rest of Europe AI in IoT, by Technology USD Billion (2023-2028)
  • Table 185. Rest of Europe AI in IoT, by Component USD Billion (2023-2028)
  • Table 186. MEA AI in IoT, by Country USD Billion (2023-2028)
  • Table 187. MEA AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 188. MEA AI in IoT, by Technology USD Billion (2023-2028)
  • Table 189. MEA AI in IoT, by Component USD Billion (2023-2028)
  • Table 190. Middle East AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 191. Middle East AI in IoT, by Technology USD Billion (2023-2028)
  • Table 192. Middle East AI in IoT, by Component USD Billion (2023-2028)
  • Table 193. Africa AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 194. Africa AI in IoT, by Technology USD Billion (2023-2028)
  • Table 195. Africa AI in IoT, by Component USD Billion (2023-2028)
  • Table 196. North America AI in IoT, by Country USD Billion (2023-2028)
  • Table 197. North America AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 198. North America AI in IoT, by Technology USD Billion (2023-2028)
  • Table 199. North America AI in IoT, by Component USD Billion (2023-2028)
  • Table 200. United States AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 201. United States AI in IoT, by Technology USD Billion (2023-2028)
  • Table 202. United States AI in IoT, by Component USD Billion (2023-2028)
  • Table 203. Canada AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 204. Canada AI in IoT, by Technology USD Billion (2023-2028)
  • Table 205. Canada AI in IoT, by Component USD Billion (2023-2028)
  • Table 206. Mexico AI in IoT, by Vertical USD Billion (2023-2028)
  • Table 207. Mexico AI in IoT, by Technology USD Billion (2023-2028)
  • Table 208. Mexico AI in IoT, by Component USD Billion (2023-2028)
  • Table 209. Research Programs/Design for This Report
  • Table 210. Key Data Information from Secondary Sources
  • Table 211. 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 IoT: by Vertical USD Billion (2017-2022)
  • Figure 5. Global AI in IoT: by Technology USD Billion (2017-2022)
  • Figure 6. Global AI in IoT: by Component USD Billion (2017-2022)
  • Figure 7. South America AI in IoT Share (%), by Country
  • Figure 8. Asia Pacific AI in IoT Share (%), by Country
  • Figure 9. Europe AI in IoT Share (%), by Country
  • Figure 10. MEA AI in IoT Share (%), by Country
  • Figure 11. North America AI in IoT Share (%), by Country
  • Figure 12. Global AI in IoT share by Players 2022 (%)
  • Figure 13. Global AI in IoT share by Players (Top 3) 2022(%)
  • Figure 14. Global AI in IoT share by Players (Top 5) 2022(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 17. IBM (United States) Revenue: by Geography 2022
  • Figure 18. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 19. Microsoft (United States) Revenue: by Geography 2022
  • Figure 20. Google (United States) Revenue, Net Income and Gross profit
  • Figure 21. Google (United States) Revenue: by Geography 2022
  • Figure 22. PTC (United States) Revenue, Net Income and Gross profit
  • Figure 23. PTC (United States) Revenue: by Geography 2022
  • Figure 24. AWS, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 25. AWS, Inc. (United States) Revenue: by Geography 2022
  • Figure 26. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 27. Oracle (United States) Revenue: by Geography 2022
  • Figure 28. General Electric (United States) Revenue, Net Income and Gross profit
  • Figure 29. General Electric (United States) Revenue: by Geography 2022
  • Figure 30. Salesforce (United States) Revenue, Net Income and Gross profit
  • Figure 31. Salesforce (United States) Revenue: by Geography 2022
  • Figure 32. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 33. SAP (Germany) Revenue: by Geography 2022
  • Figure 34. Hitachi (Japan) Revenue, Net Income and Gross profit
  • Figure 35. Hitachi (Japan) Revenue: by Geography 2022
  • Figure 36. Global AI in IoT: by Vertical USD Billion (2023-2028)
  • Figure 37. Global AI in IoT: by Technology USD Billion (2023-2028)
  • Figure 38. Global AI in IoT: by Component USD Billion (2023-2028)
  • Figure 39. South America AI in IoT Share (%), by Country
  • Figure 40. Asia Pacific AI in IoT Share (%), by Country
  • Figure 41. Europe AI in IoT Share (%), by Country
  • Figure 42. MEA AI in IoT Share (%), by Country
  • Figure 43. North America AI in IoT Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Microsoft (United States)
  • Google (United States)
  • PTC (United States)
  • AWS, Inc. (United States)
  • Oracle (United States)
  • General Electric (United States)
  • Salesforce (United States)
  • SAP (Germany)
  • Hitachi (Japan)
Additional players considered in the study are as follows:
Uptake (United States) , SAS (United States) , Autoplant Systems India Pvt. Ltd. (India) , Kairos (United States) , Softweb Solutions (United States) , Arundo Analytics, Inc. (United States) , C3 IoT (United States) , Anagog (Israel) , Imagimob AB (Sweden)
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May 2023 224 Pages 97 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global AI in IoT Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

Top performing companies in the Global AI in IoT market are IBM (United States), Microsoft (United States), Google (United States), PTC (United States), AWS, Inc. (United States), Oracle (United States), General Electric (United States), Salesforce (United States), SAP (Germany) and Hitachi (Japan), to name a few.
North America is dominating the AI in IoT Market.
"Data Security and Privacy Issues " is seen as one of the major challenges by many Industry Players of AI in IoT Market
The AI in IoT 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 complete companies available in our research coverage.
The AI in IoT market is expected to see a steady growth rate during projected year 2022 to 2028.

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