Global AI Platform Cloud Service

AI Platform Cloud Service Comprehensive Study by Type (Solution, Service), Deployment Mode (Public Clouds, Private Clouds, Hybrid Clouds), End-Use Industry (BFSI, IT and Telecommunication, Manufacturing, Healthcare, Automotive/Retail/Education) Players and Region - Global Market Outlook to 2028

AI Platform Cloud Service Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
AI Platform Cloud Service Market Scope
AI Platform is used to train machine learning models at scale, to host the trained model in the cloud, and to use model to make predictions about new data. This includes support for gathering and preparing data as well as training, testing, and deploying machine learning models for applications at scale. The prepackaged solutions of the top cloud providers like Google Cloud, amazon and other help integrate AI into products. Cloud is now being applied for navigating ships carrying cargo, thus connecting online and offline retail markets. It is also supporting companies with ML services in fintech for fraud detection and many more. According to secondary research the artificial intelligence is expected to increase economic output by USD 13 trillion in the coming decade. The organizations that entirely absorb this technology will double their cash flow in that time, while firms that don’t, could see a 20% drop.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledOracle Corporation (United States), Microsoft Corporation (United States), IBM (United States), Google (United States), Infosys Limited (India), Amazon Web Services (United States), Wipro Limited (India), Baidu Inc. (China), Informatica (United States), Nuance Communications (United States), iFLYTEK (China), Salesforce (United States), ZTE Corporation (China) and H2O.ai (United States)
CAGR%


The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global AI Platform Cloud Service market throughout the predicted period.

Oracle Corporation (United States), Microsoft Corporation (United States), IBM (United States), Google (United States), Infosys Limited (India), Amazon Web Services (United States), Wipro Limited (India), Baidu Inc. (China), Informatica (United States), Nuance Communications (United States), iFLYTEK (China), Salesforce (United States), ZTE Corporation (China) and H2O.ai (United States) are some of the key players that are part of study coverage.

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Segmentation Overview
The study have segmented the market of Global AI Platform Cloud Service market by Type and Region with country level break-up.

On the basis of geography, the market of AI Platform Cloud Service 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). region held largest market share in the year 2022.

Market Leaders and their expansionary development strategies
On 29th Mar, 2021 - Google Cloud and Commerzbank, a leading German commercial bank with a strong international focus, announced today that they are expanding their collaboration by entering into a five-year, strategic partnership. With the help of Google Cloud, Commerzbank will move a significant number of its banking applications to the cloud, a continuation of a comprehensive digital transformation strategy underway since 2017.
On 19th April, 2021 - Google Cloud and Siemens, an innovation and technology leader in industrial automation and software, has announced a new cooperation to optimize factory processes and improve productivity on the shop floor. Siemens intends to integrate Google Cloud’s leading data cloud and artificial intelligence/machine learning (AI/ML) technologies with its factory automation solutions to help manufacturers innovate for the future. and On 19th May, 2019 - Oracle has extended the artificial intelligence (AI) capabilities within Oracle Enterprise Resource Planning (ERP) Cloud and Oracle Enterprise Performance Management (EPM) Cloud. The latest machine learning-based innovations include an expense reporting assistant, project management digital assistant, advanced financial controls and project-driven supply chain management.


Influencing Trend:
Growing Demand for Virtual Assistants In These Cloud Platforms and Rising Adoption of Hybrid Cloud

Market Growth Drivers:
Growing 5G Adoption and Mobile Penetration and Rapid Adoption of AI in Industries, Such As Retail, Automotive, And Manufacturing

Challenges:
Data Privacy Issues

Restraints:
The AI Platform Cloud is Extremely Cost-Prohibitive

Opportunities:
Increasing Demand for Intelligent Business Processes and Growing Innovations across End-Users

Key Target Audience
AI Service Providers, End-Use Industries, Network Providers, Telecom Industry and Others

Report Objectives / Segmentation Covered

By Type
  • Solution
  • Service
By Deployment Mode
  • Public Clouds
  • Private Clouds
  • Hybrid Clouds

By End-Use Industry
  • BFSI
  • IT and Telecommunication
  • Manufacturing
  • Healthcare
  • Automotive/Retail/Education

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. Growing 5G Adoption and Mobile Penetration
      • 3.2.2. Rapid Adoption of AI in Industries, Such As Retail, Automotive, And Manufacturing
    • 3.3. Market Challenges
      • 3.3.1. Data Privacy Issues
    • 3.4. Market Trends
      • 3.4.1. Growing Demand for Virtual Assistants In These Cloud Platforms
      • 3.4.2. Rising Adoption of Hybrid Cloud
  • 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 Platform Cloud Service, by Type, Deployment Mode, End-Use Industry and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global AI Platform Cloud Service (Value)
      • 5.2.1. Global AI Platform Cloud Service by: Type (Value)
        • 5.2.1.1. Solution
        • 5.2.1.2. Service
      • 5.2.2. Global AI Platform Cloud Service by: Deployment Mode (Value)
        • 5.2.2.1. Public Clouds
        • 5.2.2.2. Private Clouds
        • 5.2.2.3. Hybrid Clouds
      • 5.2.3. Global AI Platform Cloud Service by: End-Use Industry (Value)
        • 5.2.3.1. BFSI
        • 5.2.3.2. IT and Telecommunication
        • 5.2.3.3. Manufacturing
        • 5.2.3.4. Healthcare
        • 5.2.3.5. Automotive/Retail/Education
      • 5.2.4. Global AI Platform Cloud Service 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
    • 5.3. Global AI Platform Cloud Service (Price)
      • 5.3.1. Global AI Platform Cloud Service by: Type (Price)
  • 6. AI Platform Cloud Service: 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. Oracle 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. Microsoft 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. IBM (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. Google (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. Infosys Limited (India)
        • 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. Amazon Web Services (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. Wipro Limited (India)
        • 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. Baidu Inc. (China)
        • 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. Informatica (United States)
        • 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. Nuance Communications (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. IFLYTEK (China)
        • 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. Salesforce (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
      • 6.4.13. ZTE Corporation (China)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. H2O.ai (United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
  • 7. Global AI Platform Cloud Service Sale, by Type, Deployment Mode, End-Use Industry and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global AI Platform Cloud Service (Value)
      • 7.2.1. Global AI Platform Cloud Service by: Type (Value)
        • 7.2.1.1. Solution
        • 7.2.1.2. Service
      • 7.2.2. Global AI Platform Cloud Service by: Deployment Mode (Value)
        • 7.2.2.1. Public Clouds
        • 7.2.2.2. Private Clouds
        • 7.2.2.3. Hybrid Clouds
      • 7.2.3. Global AI Platform Cloud Service by: End-Use Industry (Value)
        • 7.2.3.1. BFSI
        • 7.2.3.2. IT and Telecommunication
        • 7.2.3.3. Manufacturing
        • 7.2.3.4. Healthcare
        • 7.2.3.5. Automotive/Retail/Education
      • 7.2.4. Global AI Platform Cloud Service 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
    • 7.3. Global AI Platform Cloud Service (Price)
      • 7.3.1. Global AI Platform Cloud Service 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 Platform Cloud Service: by Type(USD Million)
  • Table 2. AI Platform Cloud Service Solution , by Region USD Million (2017-2022)
  • Table 3. AI Platform Cloud Service Service , by Region USD Million (2017-2022)
  • Table 4. AI Platform Cloud Service: by Deployment Mode(USD Million)
  • Table 5. AI Platform Cloud Service Public Clouds , by Region USD Million (2017-2022)
  • Table 6. AI Platform Cloud Service Private Clouds , by Region USD Million (2017-2022)
  • Table 7. AI Platform Cloud Service Hybrid Clouds , by Region USD Million (2017-2022)
  • Table 8. AI Platform Cloud Service: by End-Use Industry(USD Million)
  • Table 9. AI Platform Cloud Service BFSI , by Region USD Million (2017-2022)
  • Table 10. AI Platform Cloud Service IT and Telecommunication , by Region USD Million (2017-2022)
  • Table 11. AI Platform Cloud Service Manufacturing , by Region USD Million (2017-2022)
  • Table 12. AI Platform Cloud Service Healthcare , by Region USD Million (2017-2022)
  • Table 13. AI Platform Cloud Service Automotive/Retail/Education , by Region USD Million (2017-2022)
  • Table 14. South America AI Platform Cloud Service, by Country USD Million (2017-2022)
  • Table 15. South America AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 16. South America AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 17. South America AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 18. Brazil AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 19. Brazil AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 20. Brazil AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 21. Argentina AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 22. Argentina AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 23. Argentina AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 24. Rest of South America AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 25. Rest of South America AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 26. Rest of South America AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 27. Asia Pacific AI Platform Cloud Service, by Country USD Million (2017-2022)
  • Table 28. Asia Pacific AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 29. Asia Pacific AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 30. Asia Pacific AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 31. China AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 32. China AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 33. China AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 34. Japan AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 35. Japan AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 36. Japan AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 37. India AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 38. India AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 39. India AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 40. South Korea AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 41. South Korea AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 42. South Korea AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 43. Taiwan AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 44. Taiwan AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 45. Taiwan AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 46. Australia AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 47. Australia AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 48. Australia AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 49. Rest of Asia-Pacific AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 50. Rest of Asia-Pacific AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 51. Rest of Asia-Pacific AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 52. Europe AI Platform Cloud Service, by Country USD Million (2017-2022)
  • Table 53. Europe AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 54. Europe AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 55. Europe AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 56. Germany AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 57. Germany AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 58. Germany AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 59. France AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 60. France AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 61. France AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 62. Italy AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 63. Italy AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 64. Italy AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 65. United Kingdom AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 66. United Kingdom AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 67. United Kingdom AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 68. Netherlands AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 69. Netherlands AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 70. Netherlands AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 71. Rest of Europe AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 72. Rest of Europe AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 73. Rest of Europe AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 74. MEA AI Platform Cloud Service, by Country USD Million (2017-2022)
  • Table 75. MEA AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 76. MEA AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 77. MEA AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 78. Middle East AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 79. Middle East AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 80. Middle East AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 81. Africa AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 82. Africa AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 83. Africa AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 84. North America AI Platform Cloud Service, by Country USD Million (2017-2022)
  • Table 85. North America AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 86. North America AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 87. North America AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 88. United States AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 89. United States AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 90. United States AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 91. Canada AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 92. Canada AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 93. Canada AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 94. Mexico AI Platform Cloud Service, by Type USD Million (2017-2022)
  • Table 95. Mexico AI Platform Cloud Service, by Deployment Mode USD Million (2017-2022)
  • Table 96. Mexico AI Platform Cloud Service, by End-Use Industry USD Million (2017-2022)
  • Table 97. AI Platform Cloud Service: by Type(USD/Units)
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. AI Platform Cloud Service: by Type(USD Million)
  • Table 113. AI Platform Cloud Service Solution , by Region USD Million (2023-2028)
  • Table 114. AI Platform Cloud Service Service , by Region USD Million (2023-2028)
  • Table 115. AI Platform Cloud Service: by Deployment Mode(USD Million)
  • Table 116. AI Platform Cloud Service Public Clouds , by Region USD Million (2023-2028)
  • Table 117. AI Platform Cloud Service Private Clouds , by Region USD Million (2023-2028)
  • Table 118. AI Platform Cloud Service Hybrid Clouds , by Region USD Million (2023-2028)
  • Table 119. AI Platform Cloud Service: by End-Use Industry(USD Million)
  • Table 120. AI Platform Cloud Service BFSI , by Region USD Million (2023-2028)
  • Table 121. AI Platform Cloud Service IT and Telecommunication , by Region USD Million (2023-2028)
  • Table 122. AI Platform Cloud Service Manufacturing , by Region USD Million (2023-2028)
  • Table 123. AI Platform Cloud Service Healthcare , by Region USD Million (2023-2028)
  • Table 124. AI Platform Cloud Service Automotive/Retail/Education , by Region USD Million (2023-2028)
  • Table 125. South America AI Platform Cloud Service, by Country USD Million (2023-2028)
  • Table 126. South America AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 127. South America AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 128. South America AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 129. Brazil AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 130. Brazil AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 131. Brazil AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 132. Argentina AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 133. Argentina AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 134. Argentina AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 135. Rest of South America AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 136. Rest of South America AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 137. Rest of South America AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 138. Asia Pacific AI Platform Cloud Service, by Country USD Million (2023-2028)
  • Table 139. Asia Pacific AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 140. Asia Pacific AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 141. Asia Pacific AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 142. China AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 143. China AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 144. China AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 145. Japan AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 146. Japan AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 147. Japan AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 148. India AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 149. India AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 150. India AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 151. South Korea AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 152. South Korea AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 153. South Korea AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 154. Taiwan AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 155. Taiwan AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 156. Taiwan AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 157. Australia AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 158. Australia AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 159. Australia AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 160. Rest of Asia-Pacific AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 161. Rest of Asia-Pacific AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 162. Rest of Asia-Pacific AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 163. Europe AI Platform Cloud Service, by Country USD Million (2023-2028)
  • Table 164. Europe AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 165. Europe AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 166. Europe AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 167. Germany AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 168. Germany AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 169. Germany AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 170. France AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 171. France AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 172. France AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 173. Italy AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 174. Italy AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 175. Italy AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 176. United Kingdom AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 177. United Kingdom AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 178. United Kingdom AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 179. Netherlands AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 180. Netherlands AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 181. Netherlands AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 182. Rest of Europe AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 183. Rest of Europe AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 184. Rest of Europe AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 185. MEA AI Platform Cloud Service, by Country USD Million (2023-2028)
  • Table 186. MEA AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 187. MEA AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 188. MEA AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 189. Middle East AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 190. Middle East AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 191. Middle East AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 192. Africa AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 193. Africa AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 194. Africa AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 195. North America AI Platform Cloud Service, by Country USD Million (2023-2028)
  • Table 196. North America AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 197. North America AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 198. North America AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 199. United States AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 200. United States AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 201. United States AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 202. Canada AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 203. Canada AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 204. Canada AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 205. Mexico AI Platform Cloud Service, by Type USD Million (2023-2028)
  • Table 206. Mexico AI Platform Cloud Service, by Deployment Mode USD Million (2023-2028)
  • Table 207. Mexico AI Platform Cloud Service, by End-Use Industry USD Million (2023-2028)
  • Table 208. AI Platform Cloud Service: by Type(USD/Units)
  • 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 Platform Cloud Service: by Type USD Million (2017-2022)
  • Figure 5. Global AI Platform Cloud Service: by Deployment Mode USD Million (2017-2022)
  • Figure 6. Global AI Platform Cloud Service: by End-Use Industry USD Million (2017-2022)
  • Figure 7. South America AI Platform Cloud Service Share (%), by Country
  • Figure 8. Asia Pacific AI Platform Cloud Service Share (%), by Country
  • Figure 9. Europe AI Platform Cloud Service Share (%), by Country
  • Figure 10. MEA AI Platform Cloud Service Share (%), by Country
  • Figure 11. North America AI Platform Cloud Service Share (%), by Country
  • Figure 12. Global AI Platform Cloud Service: by Type USD/Units (2017-2022)
  • Figure 13. Global AI Platform Cloud Service share by Players 2022 (%)
  • Figure 14. Global AI Platform Cloud Service share by Players (Top 3) 2022(%)
  • Figure 15. Global AI Platform Cloud Service share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. Oracle Corporation (United States) Revenue: by Geography 2022
  • Figure 19. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. Microsoft Corporation (United States) Revenue: by Geography 2022
  • Figure 21. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 22. IBM (United States) Revenue: by Geography 2022
  • Figure 23. Google (United States) Revenue, Net Income and Gross profit
  • Figure 24. Google (United States) Revenue: by Geography 2022
  • Figure 25. Infosys Limited (India) Revenue, Net Income and Gross profit
  • Figure 26. Infosys Limited (India) Revenue: by Geography 2022
  • Figure 27. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 28. Amazon Web Services (United States) Revenue: by Geography 2022
  • Figure 29. Wipro Limited (India) Revenue, Net Income and Gross profit
  • Figure 30. Wipro Limited (India) Revenue: by Geography 2022
  • Figure 31. Baidu Inc. (China) Revenue, Net Income and Gross profit
  • Figure 32. Baidu Inc. (China) Revenue: by Geography 2022
  • Figure 33. Informatica (United States) Revenue, Net Income and Gross profit
  • Figure 34. Informatica (United States) Revenue: by Geography 2022
  • Figure 35. Nuance Communications (United States) Revenue, Net Income and Gross profit
  • Figure 36. Nuance Communications (United States) Revenue: by Geography 2022
  • Figure 37. IFLYTEK (China) Revenue, Net Income and Gross profit
  • Figure 38. IFLYTEK (China) Revenue: by Geography 2022
  • Figure 39. Salesforce (United States) Revenue, Net Income and Gross profit
  • Figure 40. Salesforce (United States) Revenue: by Geography 2022
  • Figure 41. ZTE Corporation (China) Revenue, Net Income and Gross profit
  • Figure 42. ZTE Corporation (China) Revenue: by Geography 2022
  • Figure 43. H2O.ai (United States) Revenue, Net Income and Gross profit
  • Figure 44. H2O.ai (United States) Revenue: by Geography 2022
  • Figure 45. Global AI Platform Cloud Service: by Type USD Million (2023-2028)
  • Figure 46. Global AI Platform Cloud Service: by Deployment Mode USD Million (2023-2028)
  • Figure 47. Global AI Platform Cloud Service: by End-Use Industry USD Million (2023-2028)
  • Figure 48. South America AI Platform Cloud Service Share (%), by Country
  • Figure 49. Asia Pacific AI Platform Cloud Service Share (%), by Country
  • Figure 50. Europe AI Platform Cloud Service Share (%), by Country
  • Figure 51. MEA AI Platform Cloud Service Share (%), by Country
  • Figure 52. North America AI Platform Cloud Service Share (%), by Country
  • Figure 53. Global AI Platform Cloud Service: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • Oracle Corporation (United States)
  • Microsoft Corporation (United States)
  • IBM (United States)
  • Google (United States)
  • Infosys Limited (India)
  • Amazon Web Services (United States)
  • Wipro Limited (India)
  • Baidu Inc. (China)
  • Informatica (United States)
  • Nuance Communications (United States)
  • iFLYTEK (China)
  • Salesforce (United States)
  • ZTE Corporation (China)
  • H2O.ai (United States)
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Key Highlights of Report


May 2023 211 Pages 76 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global AI Platform Cloud Service Quantitative research analysis
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Frequently Asked Questions (FAQ):

The key segments that are playing vital role in AI Platform Cloud Service Market are by type [Solution and Service], by end use application [].
The AI Platform Cloud Service Market is gaining popularity and expected to see strong valuation by 2028.
  • Growing 5G Adoption and Mobile Penetration
  • Rapid Adoption of AI in Industries, Such As Retail, Automotive, And Manufacturing

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