Global AI In Platform As A Service Market

AI In Platform As A Service Comprehensive Study by Application (BFSI, Healthcare and Life Sciences, Retail, Telecommunications, Government and defense, Manufacturing, Energy, Others), Deployment Mode (Cloud, On-Premise), Technology (Machine Learning & Deep Learning, Computer Version, Predictive Analytics), Enterprise (SMEs, Large Enterprise) Players and Region - Global Market Outlook to 2028

AI In Platform As A 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
About AI In Platform As A Service
AI In Platform As A Service refers to the third-party offering of artificial intelligence outsourcing. This allows the company to get the advantage of AI without spending lots of money. AI In Platform As A Service helps empower the sampling of multiple public cloud platforms to test different machine learning algorithms. The rise in the adoption of cloud-based solutions and technological advancement for workflow optimization is driving the demand for Artificial Intelligence in platform as a Service.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)


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 Platform As A Service 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.

IBM (United States), Google (United States), Amazon Web Services (United States), Microsoft (United States), Salesforce (United States), FICO (United States), SAS Institute (United States), Intel (United States), SAP (Germany) and H2o.AI (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 Absolutdata (United States), Vital AI (United States), Rainbird Technologies (United Kingdom) and Craft.AI (France).

Segmentation Overview
AMA Research has segmented the market of Global AI In Platform As A Service market by , Application (BFSI, Healthcare and Life Sciences, Retail, Telecommunications, Government and defense, Manufacturing, Energy and Others) and Region.



On the basis of geography, the market of AI In Platform As A 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). If we see Market by Deployment Mode, the sub-segment i.e. Cloud will boost the AI In Platform As A Service 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 will boost the AI In Platform As A Service market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Enterprise, the sub-segment i.e. SMEs will boost the AI In Platform As A Service market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Adoption of Advanced Robotic Technology and Introduction of IOT Based Technology

Market Growth Drivers:
Expenditure on Artificial Intelligence and Technological Advancement for Workflow Optimization and Increasing Demand for Enhancing Consumer Experience

Challenges:
Lack of Skilled Professionals

Restraints:
Risks Associated with Data Breaches And Hacks and Interoperability Issues

Opportunities:
Increased Application Areas and Growth in Demand for AI

Market Leaders and their expansionary development strategies
In March 2019, Bengaluru based EdTech company, CarveNiche Technologies entered into a strategic partnership with Microsoft for its customizable Math learning solution. The program titled- beGalileo, allows students from class 1 to 10 to learn maths using Artificial Intelligence. With the hosting on the Microsoft Azure cloud, the solution will now be easily accessible to students and schools, on any device, from anywhere around the globe. In March 2019, McDonald announced the acquisition of Dynamic Yield, an artificial intelligence company based in New York and Tel Aviv, for USD 300 million. The acquisition will give Mcdonald's data on what purchases are most popular with consumers, and help it design solutions for a more customized experience.
In April 2019, Google launches an end-to-end AI platform. The highlight announced is the beta launch of the company’s AI Platform. The idea here is to offer developers and data scientists an end-to-end service for building, testing, and deploying their own models. One of these new features is Auto ML Tables, which takes existing tabular data that may sit in Google’s Big Query database or in a storage service and automatically creates a model that will predict the value of a given column


Key Target Audience
Technology Investors, Cloud Vendors, Managed Service Providers, Data Quality Service Providers, System Integrators, Data Integration Service Providers, Application Design & Development Service Providers, Training & Education Service Providers, Research/Consultancy firms, Consulting Firms/ Advisory Firms, Government Bodies and Third-party vendors

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 Application
  • BFSI
  • Healthcare and Life Sciences
  • Retail
  • Telecommunications
  • Government and defense
  • Manufacturing
  • Energy
  • Others
By Deployment Mode
  • Cloud
  • On-Premise

By Technology
  • Machine Learning & Deep Learning
  • Computer Version
  • Predictive Analytics

By Enterprise
  • SMEs
  • Large Enterprise

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. Expenditure on Artificial Intelligence and Technological Advancement for Workflow Optimization
      • 3.2.2. Increasing Demand for Enhancing Consumer Experience
    • 3.3. Market Challenges
      • 3.3.1. Lack of Skilled Professionals
    • 3.4. Market Trends
      • 3.4.1. Adoption of Advanced Robotic Technology
      • 3.4.2. Introduction of IOT Based Technology
  • 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 Platform As A Service, by Application, Deployment Mode, Technology, Enterprise and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global AI In Platform As A Service (Value)
      • 5.2.1. Global AI In Platform As A Service by: Application (Value)
        • 5.2.1.1. BFSI
        • 5.2.1.2. Healthcare and Life Sciences
        • 5.2.1.3. Retail
        • 5.2.1.4. Telecommunications
        • 5.2.1.5. Government and defense
        • 5.2.1.6. Manufacturing
        • 5.2.1.7. Energy
        • 5.2.1.8. Others
      • 5.2.2. Global AI In Platform As A Service by: Deployment Mode (Value)
        • 5.2.2.1. Cloud
        • 5.2.2.2. On-Premise
      • 5.2.3. Global AI In Platform As A Service by: Technology (Value)
        • 5.2.3.1. Machine Learning & Deep Learning
        • 5.2.3.2. Computer Version
        • 5.2.3.3. Predictive Analytics
      • 5.2.4. Global AI In Platform As A Service by: Enterprise (Value)
        • 5.2.4.1. SMEs
        • 5.2.4.2. Large Enterprise
      • 5.2.5. Global AI In Platform As A Service Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. AI In Platform As A 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. 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. Google (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. Amazon Web Services (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 (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. Salesforce (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. FICO (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. SAS Institute (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. Intel (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. H2o.AI (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
  • 7. Global AI In Platform As A Service Sale, by Application, Deployment Mode, Technology, Enterprise and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global AI In Platform As A Service (Value)
      • 7.2.1. Global AI In Platform As A Service by: Application (Value)
        • 7.2.1.1. BFSI
        • 7.2.1.2. Healthcare and Life Sciences
        • 7.2.1.3. Retail
        • 7.2.1.4. Telecommunications
        • 7.2.1.5. Government and defense
        • 7.2.1.6. Manufacturing
        • 7.2.1.7. Energy
        • 7.2.1.8. Others
      • 7.2.2. Global AI In Platform As A Service by: Deployment Mode (Value)
        • 7.2.2.1. Cloud
        • 7.2.2.2. On-Premise
      • 7.2.3. Global AI In Platform As A Service by: Technology (Value)
        • 7.2.3.1. Machine Learning & Deep Learning
        • 7.2.3.2. Computer Version
        • 7.2.3.3. Predictive Analytics
      • 7.2.4. Global AI In Platform As A Service by: Enterprise (Value)
        • 7.2.4.1. SMEs
        • 7.2.4.2. Large Enterprise
      • 7.2.5. Global AI In Platform As A Service Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. 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 Platform As A Service: by Application(USD Million)
  • Table 2. AI In Platform As A Service BFSI , by Region USD Million (2017-2022)
  • Table 3. AI In Platform As A Service Healthcare and Life Sciences , by Region USD Million (2017-2022)
  • Table 4. AI In Platform As A Service Retail , by Region USD Million (2017-2022)
  • Table 5. AI In Platform As A Service Telecommunications , by Region USD Million (2017-2022)
  • Table 6. AI In Platform As A Service Government and defense , by Region USD Million (2017-2022)
  • Table 7. AI In Platform As A Service Manufacturing , by Region USD Million (2017-2022)
  • Table 8. AI In Platform As A Service Energy , by Region USD Million (2017-2022)
  • Table 9. AI In Platform As A Service Others , by Region USD Million (2017-2022)
  • Table 10. AI In Platform As A Service: by Deployment Mode(USD Million)
  • Table 11. AI In Platform As A Service Cloud , by Region USD Million (2017-2022)
  • Table 12. AI In Platform As A Service On-Premise , by Region USD Million (2017-2022)
  • Table 13. AI In Platform As A Service: by Technology(USD Million)
  • Table 14. AI In Platform As A Service Machine Learning & Deep Learning , by Region USD Million (2017-2022)
  • Table 15. AI In Platform As A Service Computer Version , by Region USD Million (2017-2022)
  • Table 16. AI In Platform As A Service Predictive Analytics , by Region USD Million (2017-2022)
  • Table 17. AI In Platform As A Service: by Enterprise(USD Million)
  • Table 18. AI In Platform As A Service SMEs , by Region USD Million (2017-2022)
  • Table 19. AI In Platform As A Service Large Enterprise , by Region USD Million (2017-2022)
  • Table 20. South America AI In Platform As A Service, by Country USD Million (2017-2022)
  • Table 21. South America AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 22. South America AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 23. South America AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 24. South America AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 25. Brazil AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 26. Brazil AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 27. Brazil AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 28. Brazil AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 29. Argentina AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 30. Argentina AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 31. Argentina AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 32. Argentina AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 33. Rest of South America AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 34. Rest of South America AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 35. Rest of South America AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 36. Rest of South America AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 37. Asia Pacific AI In Platform As A Service, by Country USD Million (2017-2022)
  • Table 38. Asia Pacific AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 39. Asia Pacific AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 40. Asia Pacific AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 41. Asia Pacific AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 42. China AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 43. China AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 44. China AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 45. China AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 46. Japan AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 47. Japan AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 48. Japan AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 49. Japan AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 50. India AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 51. India AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 52. India AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 53. India AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 54. South Korea AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 55. South Korea AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 56. South Korea AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 57. South Korea AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 58. Taiwan AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 59. Taiwan AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 60. Taiwan AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 61. Taiwan AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 62. Australia AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 63. Australia AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 64. Australia AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 65. Australia AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 66. Rest of Asia-Pacific AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 67. Rest of Asia-Pacific AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 68. Rest of Asia-Pacific AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 69. Rest of Asia-Pacific AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 70. Europe AI In Platform As A Service, by Country USD Million (2017-2022)
  • Table 71. Europe AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 72. Europe AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 73. Europe AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 74. Europe AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 75. Germany AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 76. Germany AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 77. Germany AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 78. Germany AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 79. France AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 80. France AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 81. France AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 82. France AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 83. Italy AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 84. Italy AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 85. Italy AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 86. Italy AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 87. United Kingdom AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 88. United Kingdom AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 89. United Kingdom AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 90. United Kingdom AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 91. Netherlands AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 92. Netherlands AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 93. Netherlands AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 94. Netherlands AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 95. Rest of Europe AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 96. Rest of Europe AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 97. Rest of Europe AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 98. Rest of Europe AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 99. MEA AI In Platform As A Service, by Country USD Million (2017-2022)
  • Table 100. MEA AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 101. MEA AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 102. MEA AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 103. MEA AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 104. Middle East AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 105. Middle East AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 106. Middle East AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 107. Middle East AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 108. Africa AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 109. Africa AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 110. Africa AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 111. Africa AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 112. North America AI In Platform As A Service, by Country USD Million (2017-2022)
  • Table 113. North America AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 114. North America AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 115. North America AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 116. North America AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 117. United States AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 118. United States AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 119. United States AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 120. United States AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 121. Canada AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 122. Canada AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 123. Canada AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 124. Canada AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 125. Mexico AI In Platform As A Service, by Application USD Million (2017-2022)
  • Table 126. Mexico AI In Platform As A Service, by Deployment Mode USD Million (2017-2022)
  • Table 127. Mexico AI In Platform As A Service, by Technology USD Million (2017-2022)
  • Table 128. Mexico AI In Platform As A Service, by Enterprise USD Million (2017-2022)
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. AI In Platform As A Service: by Application(USD Million)
  • Table 140. AI In Platform As A Service BFSI , by Region USD Million (2023-2028)
  • Table 141. AI In Platform As A Service Healthcare and Life Sciences , by Region USD Million (2023-2028)
  • Table 142. AI In Platform As A Service Retail , by Region USD Million (2023-2028)
  • Table 143. AI In Platform As A Service Telecommunications , by Region USD Million (2023-2028)
  • Table 144. AI In Platform As A Service Government and defense , by Region USD Million (2023-2028)
  • Table 145. AI In Platform As A Service Manufacturing , by Region USD Million (2023-2028)
  • Table 146. AI In Platform As A Service Energy , by Region USD Million (2023-2028)
  • Table 147. AI In Platform As A Service Others , by Region USD Million (2023-2028)
  • Table 148. AI In Platform As A Service: by Deployment Mode(USD Million)
  • Table 149. AI In Platform As A Service Cloud , by Region USD Million (2023-2028)
  • Table 150. AI In Platform As A Service On-Premise , by Region USD Million (2023-2028)
  • Table 151. AI In Platform As A Service: by Technology(USD Million)
  • Table 152. AI In Platform As A Service Machine Learning & Deep Learning , by Region USD Million (2023-2028)
  • Table 153. AI In Platform As A Service Computer Version , by Region USD Million (2023-2028)
  • Table 154. AI In Platform As A Service Predictive Analytics , by Region USD Million (2023-2028)
  • Table 155. AI In Platform As A Service: by Enterprise(USD Million)
  • Table 156. AI In Platform As A Service SMEs , by Region USD Million (2023-2028)
  • Table 157. AI In Platform As A Service Large Enterprise , by Region USD Million (2023-2028)
  • Table 158. South America AI In Platform As A Service, by Country USD Million (2023-2028)
  • Table 159. South America AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 160. South America AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 161. South America AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 162. South America AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 163. Brazil AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 164. Brazil AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 165. Brazil AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 166. Brazil AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 167. Argentina AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 168. Argentina AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 169. Argentina AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 170. Argentina AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 171. Rest of South America AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 172. Rest of South America AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 173. Rest of South America AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 174. Rest of South America AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 175. Asia Pacific AI In Platform As A Service, by Country USD Million (2023-2028)
  • Table 176. Asia Pacific AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 177. Asia Pacific AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 178. Asia Pacific AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 179. Asia Pacific AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 180. China AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 181. China AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 182. China AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 183. China AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 184. Japan AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 185. Japan AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 186. Japan AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 187. Japan AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 188. India AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 189. India AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 190. India AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 191. India AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 192. South Korea AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 193. South Korea AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 194. South Korea AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 195. South Korea AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 196. Taiwan AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 197. Taiwan AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 198. Taiwan AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 199. Taiwan AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 200. Australia AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 201. Australia AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 202. Australia AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 203. Australia AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 204. Rest of Asia-Pacific AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 205. Rest of Asia-Pacific AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 206. Rest of Asia-Pacific AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 207. Rest of Asia-Pacific AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 208. Europe AI In Platform As A Service, by Country USD Million (2023-2028)
  • Table 209. Europe AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 210. Europe AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 211. Europe AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 212. Europe AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 213. Germany AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 214. Germany AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 215. Germany AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 216. Germany AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 217. France AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 218. France AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 219. France AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 220. France AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 221. Italy AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 222. Italy AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 223. Italy AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 224. Italy AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 225. United Kingdom AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 226. United Kingdom AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 227. United Kingdom AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 228. United Kingdom AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 229. Netherlands AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 230. Netherlands AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 231. Netherlands AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 232. Netherlands AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 233. Rest of Europe AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 234. Rest of Europe AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 235. Rest of Europe AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 236. Rest of Europe AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 237. MEA AI In Platform As A Service, by Country USD Million (2023-2028)
  • Table 238. MEA AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 239. MEA AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 240. MEA AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 241. MEA AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 242. Middle East AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 243. Middle East AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 244. Middle East AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 245. Middle East AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 246. Africa AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 247. Africa AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 248. Africa AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 249. Africa AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 250. North America AI In Platform As A Service, by Country USD Million (2023-2028)
  • Table 251. North America AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 252. North America AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 253. North America AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 254. North America AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 255. United States AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 256. United States AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 257. United States AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 258. United States AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 259. Canada AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 260. Canada AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 261. Canada AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 262. Canada AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 263. Mexico AI In Platform As A Service, by Application USD Million (2023-2028)
  • Table 264. Mexico AI In Platform As A Service, by Deployment Mode USD Million (2023-2028)
  • Table 265. Mexico AI In Platform As A Service, by Technology USD Million (2023-2028)
  • Table 266. Mexico AI In Platform As A Service, by Enterprise USD Million (2023-2028)
  • Table 267. Research Programs/Design for This Report
  • Table 268. Key Data Information from Secondary Sources
  • Table 269. 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 Platform As A Service: by Application USD Million (2017-2022)
  • Figure 5. Global AI In Platform As A Service: by Deployment Mode USD Million (2017-2022)
  • Figure 6. Global AI In Platform As A Service: by Technology USD Million (2017-2022)
  • Figure 7. Global AI In Platform As A Service: by Enterprise USD Million (2017-2022)
  • Figure 8. South America AI In Platform As A Service Share (%), by Country
  • Figure 9. Asia Pacific AI In Platform As A Service Share (%), by Country
  • Figure 10. Europe AI In Platform As A Service Share (%), by Country
  • Figure 11. MEA AI In Platform As A Service Share (%), by Country
  • Figure 12. North America AI In Platform As A Service Share (%), by Country
  • Figure 13. Global AI In Platform As A Service share by Players 2022 (%)
  • Figure 14. Global AI In Platform As A Service share by Players (Top 3) 2022(%)
  • Figure 15. Global AI In Platform As A Service share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 18. IBM (United States) Revenue: by Geography 2022
  • Figure 19. Google (United States) Revenue, Net Income and Gross profit
  • Figure 20. Google (United States) Revenue: by Geography 2022
  • Figure 21. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 22. Amazon Web Services (United States) Revenue: by Geography 2022
  • Figure 23. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 24. Microsoft (United States) Revenue: by Geography 2022
  • Figure 25. Salesforce (United States) Revenue, Net Income and Gross profit
  • Figure 26. Salesforce (United States) Revenue: by Geography 2022
  • Figure 27. FICO (United States) Revenue, Net Income and Gross profit
  • Figure 28. FICO (United States) Revenue: by Geography 2022
  • Figure 29. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 30. SAS Institute (United States) Revenue: by Geography 2022
  • Figure 31. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 32. Intel (United States) Revenue: by Geography 2022
  • Figure 33. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 34. SAP (Germany) Revenue: by Geography 2022
  • Figure 35. H2o.AI (United States) Revenue, Net Income and Gross profit
  • Figure 36. H2o.AI (United States) Revenue: by Geography 2022
  • Figure 37. Global AI In Platform As A Service: by Application USD Million (2023-2028)
  • Figure 38. Global AI In Platform As A Service: by Deployment Mode USD Million (2023-2028)
  • Figure 39. Global AI In Platform As A Service: by Technology USD Million (2023-2028)
  • Figure 40. Global AI In Platform As A Service: by Enterprise USD Million (2023-2028)
  • Figure 41. South America AI In Platform As A Service Share (%), by Country
  • Figure 42. Asia Pacific AI In Platform As A Service Share (%), by Country
  • Figure 43. Europe AI In Platform As A Service Share (%), by Country
  • Figure 44. MEA AI In Platform As A Service Share (%), by Country
  • Figure 45. North America AI In Platform As A Service Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Google (United States)
  • Amazon Web Services (United States)
  • Microsoft (United States)
  • Salesforce (United States)
  • FICO (United States)
  • SAS Institute (United States)
  • Intel (United States)
  • SAP (Germany)
  • H2o.AI (United States)
Additional players considered in the study are as follows:
Absolutdata (United States) , Vital AI (United States) , Rainbird Technologies (United Kingdom) , Craft.AI (France)
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Key Highlights of Report


May 2023 222 Pages 89 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global AI In Platform As A Service Market Quantitative research analysis
Global AI In Platform As A Service Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as IBM (United States), Google (United States), Amazon Web Services (United States), Microsoft (United States), Salesforce (United States), FICO (United States), SAS Institute (United States), Intel (United States), SAP (Germany) and H2o.AI (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Adoption of Advanced Robotic Technology " is seen as one of major influencing trends for AI In Platform As A Service Market during projected period 2022-2028.
The AI In Platform As A Service 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.

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