AI as Service Comprehensive Study by Application (Data Storage and Archiving, Modeler and Processing, Cloud and Web-Based Application Programming Interface (APIs), Others), Technology (Machine Learning (ML) and Deep Learning, Natural Language Processing (NLP)), End Use (Banking, Financial, and Insurance (BFSI), Healthcare and Life Sciences, Retail, Telecommunications, Government and defense, Manufacturing, Energy, Others), Service (Software Tools, Services (Professional, Managed)), Scale (Large Enterprises, Small and Medium-sized Enterprises (SMEs)) Players and Region - Global Market Outlook to 2028

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

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
AI as Service Market Scope
The growing complexity of networking and computing infrastructures is already pushing the implementation of automation in networking and cloud computing management systems. AIaaS makes AI technologies available to the general public. Users may leverage the power of AI without writing a single line of code thanks to APIs and easy, low-code technologies. Bots, APIs, and machine learning applications are examples of AI services. There are several AI-as-a-Service applications, ranging from factory robot control systems to traffic monitoring in smart cities and autonomous network management in 5G. Each AI-aaS application has a set of quality and performance criteria that must be converted into QoS requirements that SDI resources must meet.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledIBM Corporation (United States), SAP SE (Germany), Microsoft Inc. (United States), Google (United States), Amazon Web Service, Inc (United States), Salesforce Inc. (United States), Intel Corporation (United States), Baidu, Inc (China), Fair Isaac Corporation (United States) and SAS Institute (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 as Service market throughout the predicted period.

IBM Corporation (United States), SAP SE (Germany), Microsoft Inc. (United States), Google (United States), Amazon Web Service, Inc (United States), Salesforce Inc. (United States), Intel Corporation (United States), Baidu, Inc (China), Fair Isaac Corporation (United States) and SAS Institute (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are BigML Inc. (United States), MonkeyLearn (United States), ServiceNow (United States) and Hewlett Packard Enterprise (United States).

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 as Service market by Type , by Application (Data Storage and Archiving, Modeler and Processing, Cloud and Web-Based Application Programming Interface (APIs) and Others) and Region with country level break-up.

On the basis of geography, the market of AI as 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 30th November, 2020 - ServiceNow Acquired Element AI (Leading Artificial Intelligence (AI) Company). The Agreement Brings Element AI's World-Class Scientists and Practitioners with Experience Applying Modern AI to Text and Language, Chat, Pictures, Search, Question Response, And Summarization to The Table.
On 18th May, 2021 - Google Launched its “Vertex AI”, Fully Managed Cloud AI Service. In Comparison to Competing Platforms, The New Platform Is Aimed to Assist Enterprises Accelerate the Deployment and Maintenance of AI Models by Requiring Roughly 80% Less Lines of Code to Train a Model.


Influencing Trend:
Increasing Number of AI Startups

Market Growth Drivers:
High Rate of Digitization Across Different Industry Verticals and Demand for AI-Powered Services in the Form of API and SDK

Challenges:
Market Penetration Across New Regions and Fierce Competitive Pressure

Restraints:
Lack of Trained Professionals

Opportunities:
High Investment by Venture Capitalists and Private Equity Firms and Rising Implementation Across BFSI Industry

Key Target Audience
AI as Service Providers, New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others

Report Objectives / Segmentation Covered

By Application
  • Data Storage and Archiving
  • Modeler and Processing
  • Cloud and Web-Based Application Programming Interface (APIs)
  • Others
By Technology
  • Machine Learning (ML) and Deep Learning
  • Natural Language Processing (NLP)

By End Use
  • Banking, Financial, and Insurance (BFSI)
  • Healthcare and Life Sciences
  • Retail
  • Telecommunications
  • Government and defense
  • Manufacturing
  • Energy
  • Others

By Service
  • Software Tools
  • Services (Professional, Managed)

By Scale
  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

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. High Rate of Digitization Across Different Industry Verticals
      • 3.2.2. Demand for AI-Powered Services in the Form of API and SDK
    • 3.3. Market Challenges
      • 3.3.1. Market Penetration Across New Regions
      • 3.3.2. Fierce Competitive Pressure
    • 3.4. Market Trends
      • 3.4.1. Increasing Number of AI Startups
  • 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 as Service, by Application, Technology, End Use, Service, Scale and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global AI as Service (Value)
      • 5.2.1. Global AI as Service by: Application (Value)
        • 5.2.1.1. Data Storage and Archiving
        • 5.2.1.2. Modeler and Processing
        • 5.2.1.3. Cloud and Web-Based Application Programming Interface (APIs)
        • 5.2.1.4. Others
      • 5.2.2. Global AI as Service by: Technology (Value)
        • 5.2.2.1. Machine Learning (ML) and Deep Learning
        • 5.2.2.2. Natural Language Processing (NLP)
      • 5.2.3. Global AI as Service by: End Use (Value)
        • 5.2.3.1. Banking, Financial, and Insurance (BFSI)
        • 5.2.3.2. Healthcare and Life Sciences
        • 5.2.3.3. Retail
        • 5.2.3.4. Telecommunications
        • 5.2.3.5. Government and defense
        • 5.2.3.6. Manufacturing
        • 5.2.3.7. Energy
        • 5.2.3.8. Others
      • 5.2.4. Global AI as Service by: Service (Value)
        • 5.2.4.1. Software Tools
        • 5.2.4.2. Services (Professional, Managed)
      • 5.2.5. Global AI as Service by: Scale (Value)
        • 5.2.5.1. Large Enterprises
        • 5.2.5.2. Small and Medium-sized Enterprises (SMEs)
      • 5.2.6. Global AI as Service Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Taiwan
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
  • 6. AI as 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 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. SAP SE (Germany)
        • 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. Microsoft Inc. (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. Amazon Web Service, 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. Salesforce Inc. (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. Intel Corporation (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. 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. Fair Isaac Corporation (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. SAS Institute (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 as Service Sale, by Application, Technology, End Use, Service, Scale and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global AI as Service (Value)
      • 7.2.1. Global AI as Service by: Application (Value)
        • 7.2.1.1. Data Storage and Archiving
        • 7.2.1.2. Modeler and Processing
        • 7.2.1.3. Cloud and Web-Based Application Programming Interface (APIs)
        • 7.2.1.4. Others
      • 7.2.2. Global AI as Service by: Technology (Value)
        • 7.2.2.1. Machine Learning (ML) and Deep Learning
        • 7.2.2.2. Natural Language Processing (NLP)
      • 7.2.3. Global AI as Service by: End Use (Value)
        • 7.2.3.1. Banking, Financial, and Insurance (BFSI)
        • 7.2.3.2. Healthcare and Life Sciences
        • 7.2.3.3. Retail
        • 7.2.3.4. Telecommunications
        • 7.2.3.5. Government and defense
        • 7.2.3.6. Manufacturing
        • 7.2.3.7. Energy
        • 7.2.3.8. Others
      • 7.2.4. Global AI as Service by: Service (Value)
        • 7.2.4.1. Software Tools
        • 7.2.4.2. Services (Professional, Managed)
      • 7.2.5. Global AI as Service by: Scale (Value)
        • 7.2.5.1. Large Enterprises
        • 7.2.5.2. Small and Medium-sized Enterprises (SMEs)
      • 7.2.6. Global AI as Service Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Taiwan
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. Mexico
  • 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 as Service: by Application(USD Million)
  • Table 2. AI as Service Data Storage and Archiving , by Region USD Million (2017-2022)
  • Table 3. AI as Service Modeler and Processing , by Region USD Million (2017-2022)
  • Table 4. AI as Service Cloud and Web-Based Application Programming Interface (APIs) , by Region USD Million (2017-2022)
  • Table 5. AI as Service Others , by Region USD Million (2017-2022)
  • Table 6. AI as Service: by Technology(USD Million)
  • Table 7. AI as Service Machine Learning (ML) and Deep Learning , by Region USD Million (2017-2022)
  • Table 8. AI as Service Natural Language Processing (NLP) , by Region USD Million (2017-2022)
  • Table 9. AI as Service: by End Use(USD Million)
  • Table 10. AI as Service Banking, Financial, and Insurance (BFSI) , by Region USD Million (2017-2022)
  • Table 11. AI as Service Healthcare and Life Sciences , by Region USD Million (2017-2022)
  • Table 12. AI as Service Retail , by Region USD Million (2017-2022)
  • Table 13. AI as Service Telecommunications , by Region USD Million (2017-2022)
  • Table 14. AI as Service Government and defense , by Region USD Million (2017-2022)
  • Table 15. AI as Service Manufacturing , by Region USD Million (2017-2022)
  • Table 16. AI as Service Energy , by Region USD Million (2017-2022)
  • Table 17. AI as Service Others , by Region USD Million (2017-2022)
  • Table 18. AI as Service: by Service(USD Million)
  • Table 19. AI as Service Software Tools , by Region USD Million (2017-2022)
  • Table 20. AI as Service Services (Professional, Managed) , by Region USD Million (2017-2022)
  • Table 21. AI as Service: by Scale(USD Million)
  • Table 22. AI as Service Large Enterprises , by Region USD Million (2017-2022)
  • Table 23. AI as Service Small and Medium-sized Enterprises (SMEs) , by Region USD Million (2017-2022)
  • Table 24. South America AI as Service, by Country USD Million (2017-2022)
  • Table 25. South America AI as Service, by Application USD Million (2017-2022)
  • Table 26. South America AI as Service, by Technology USD Million (2017-2022)
  • Table 27. South America AI as Service, by End Use USD Million (2017-2022)
  • Table 28. South America AI as Service, by Service USD Million (2017-2022)
  • Table 29. South America AI as Service, by Scale USD Million (2017-2022)
  • Table 30. Brazil AI as Service, by Application USD Million (2017-2022)
  • Table 31. Brazil AI as Service, by Technology USD Million (2017-2022)
  • Table 32. Brazil AI as Service, by End Use USD Million (2017-2022)
  • Table 33. Brazil AI as Service, by Service USD Million (2017-2022)
  • Table 34. Brazil AI as Service, by Scale USD Million (2017-2022)
  • Table 35. Argentina AI as Service, by Application USD Million (2017-2022)
  • Table 36. Argentina AI as Service, by Technology USD Million (2017-2022)
  • Table 37. Argentina AI as Service, by End Use USD Million (2017-2022)
  • Table 38. Argentina AI as Service, by Service USD Million (2017-2022)
  • Table 39. Argentina AI as Service, by Scale USD Million (2017-2022)
  • Table 40. Rest of South America AI as Service, by Application USD Million (2017-2022)
  • Table 41. Rest of South America AI as Service, by Technology USD Million (2017-2022)
  • Table 42. Rest of South America AI as Service, by End Use USD Million (2017-2022)
  • Table 43. Rest of South America AI as Service, by Service USD Million (2017-2022)
  • Table 44. Rest of South America AI as Service, by Scale USD Million (2017-2022)
  • Table 45. Asia Pacific AI as Service, by Country USD Million (2017-2022)
  • Table 46. Asia Pacific AI as Service, by Application USD Million (2017-2022)
  • Table 47. Asia Pacific AI as Service, by Technology USD Million (2017-2022)
  • Table 48. Asia Pacific AI as Service, by End Use USD Million (2017-2022)
  • Table 49. Asia Pacific AI as Service, by Service USD Million (2017-2022)
  • Table 50. Asia Pacific AI as Service, by Scale USD Million (2017-2022)
  • Table 51. China AI as Service, by Application USD Million (2017-2022)
  • Table 52. China AI as Service, by Technology USD Million (2017-2022)
  • Table 53. China AI as Service, by End Use USD Million (2017-2022)
  • Table 54. China AI as Service, by Service USD Million (2017-2022)
  • Table 55. China AI as Service, by Scale USD Million (2017-2022)
  • Table 56. Japan AI as Service, by Application USD Million (2017-2022)
  • Table 57. Japan AI as Service, by Technology USD Million (2017-2022)
  • Table 58. Japan AI as Service, by End Use USD Million (2017-2022)
  • Table 59. Japan AI as Service, by Service USD Million (2017-2022)
  • Table 60. Japan AI as Service, by Scale USD Million (2017-2022)
  • Table 61. India AI as Service, by Application USD Million (2017-2022)
  • Table 62. India AI as Service, by Technology USD Million (2017-2022)
  • Table 63. India AI as Service, by End Use USD Million (2017-2022)
  • Table 64. India AI as Service, by Service USD Million (2017-2022)
  • Table 65. India AI as Service, by Scale USD Million (2017-2022)
  • Table 66. South Korea AI as Service, by Application USD Million (2017-2022)
  • Table 67. South Korea AI as Service, by Technology USD Million (2017-2022)
  • Table 68. South Korea AI as Service, by End Use USD Million (2017-2022)
  • Table 69. South Korea AI as Service, by Service USD Million (2017-2022)
  • Table 70. South Korea AI as Service, by Scale USD Million (2017-2022)
  • Table 71. Taiwan AI as Service, by Application USD Million (2017-2022)
  • Table 72. Taiwan AI as Service, by Technology USD Million (2017-2022)
  • Table 73. Taiwan AI as Service, by End Use USD Million (2017-2022)
  • Table 74. Taiwan AI as Service, by Service USD Million (2017-2022)
  • Table 75. Taiwan AI as Service, by Scale USD Million (2017-2022)
  • Table 76. Australia AI as Service, by Application USD Million (2017-2022)
  • Table 77. Australia AI as Service, by Technology USD Million (2017-2022)
  • Table 78. Australia AI as Service, by End Use USD Million (2017-2022)
  • Table 79. Australia AI as Service, by Service USD Million (2017-2022)
  • Table 80. Australia AI as Service, by Scale USD Million (2017-2022)
  • Table 81. Rest of Asia-Pacific AI as Service, by Application USD Million (2017-2022)
  • Table 82. Rest of Asia-Pacific AI as Service, by Technology USD Million (2017-2022)
  • Table 83. Rest of Asia-Pacific AI as Service, by End Use USD Million (2017-2022)
  • Table 84. Rest of Asia-Pacific AI as Service, by Service USD Million (2017-2022)
  • Table 85. Rest of Asia-Pacific AI as Service, by Scale USD Million (2017-2022)
  • Table 86. Europe AI as Service, by Country USD Million (2017-2022)
  • Table 87. Europe AI as Service, by Application USD Million (2017-2022)
  • Table 88. Europe AI as Service, by Technology USD Million (2017-2022)
  • Table 89. Europe AI as Service, by End Use USD Million (2017-2022)
  • Table 90. Europe AI as Service, by Service USD Million (2017-2022)
  • Table 91. Europe AI as Service, by Scale USD Million (2017-2022)
  • Table 92. Germany AI as Service, by Application USD Million (2017-2022)
  • Table 93. Germany AI as Service, by Technology USD Million (2017-2022)
  • Table 94. Germany AI as Service, by End Use USD Million (2017-2022)
  • Table 95. Germany AI as Service, by Service USD Million (2017-2022)
  • Table 96. Germany AI as Service, by Scale USD Million (2017-2022)
  • Table 97. France AI as Service, by Application USD Million (2017-2022)
  • Table 98. France AI as Service, by Technology USD Million (2017-2022)
  • Table 99. France AI as Service, by End Use USD Million (2017-2022)
  • Table 100. France AI as Service, by Service USD Million (2017-2022)
  • Table 101. France AI as Service, by Scale USD Million (2017-2022)
  • Table 102. Italy AI as Service, by Application USD Million (2017-2022)
  • Table 103. Italy AI as Service, by Technology USD Million (2017-2022)
  • Table 104. Italy AI as Service, by End Use USD Million (2017-2022)
  • Table 105. Italy AI as Service, by Service USD Million (2017-2022)
  • Table 106. Italy AI as Service, by Scale USD Million (2017-2022)
  • Table 107. United Kingdom AI as Service, by Application USD Million (2017-2022)
  • Table 108. United Kingdom AI as Service, by Technology USD Million (2017-2022)
  • Table 109. United Kingdom AI as Service, by End Use USD Million (2017-2022)
  • Table 110. United Kingdom AI as Service, by Service USD Million (2017-2022)
  • Table 111. United Kingdom AI as Service, by Scale USD Million (2017-2022)
  • Table 112. Netherlands AI as Service, by Application USD Million (2017-2022)
  • Table 113. Netherlands AI as Service, by Technology USD Million (2017-2022)
  • Table 114. Netherlands AI as Service, by End Use USD Million (2017-2022)
  • Table 115. Netherlands AI as Service, by Service USD Million (2017-2022)
  • Table 116. Netherlands AI as Service, by Scale USD Million (2017-2022)
  • Table 117. Rest of Europe AI as Service, by Application USD Million (2017-2022)
  • Table 118. Rest of Europe AI as Service, by Technology USD Million (2017-2022)
  • Table 119. Rest of Europe AI as Service, by End Use USD Million (2017-2022)
  • Table 120. Rest of Europe AI as Service, by Service USD Million (2017-2022)
  • Table 121. Rest of Europe AI as Service, by Scale USD Million (2017-2022)
  • Table 122. MEA AI as Service, by Country USD Million (2017-2022)
  • Table 123. MEA AI as Service, by Application USD Million (2017-2022)
  • Table 124. MEA AI as Service, by Technology USD Million (2017-2022)
  • Table 125. MEA AI as Service, by End Use USD Million (2017-2022)
  • Table 126. MEA AI as Service, by Service USD Million (2017-2022)
  • Table 127. MEA AI as Service, by Scale USD Million (2017-2022)
  • Table 128. Middle East AI as Service, by Application USD Million (2017-2022)
  • Table 129. Middle East AI as Service, by Technology USD Million (2017-2022)
  • Table 130. Middle East AI as Service, by End Use USD Million (2017-2022)
  • Table 131. Middle East AI as Service, by Service USD Million (2017-2022)
  • Table 132. Middle East AI as Service, by Scale USD Million (2017-2022)
  • Table 133. Africa AI as Service, by Application USD Million (2017-2022)
  • Table 134. Africa AI as Service, by Technology USD Million (2017-2022)
  • Table 135. Africa AI as Service, by End Use USD Million (2017-2022)
  • Table 136. Africa AI as Service, by Service USD Million (2017-2022)
  • Table 137. Africa AI as Service, by Scale USD Million (2017-2022)
  • Table 138. North America AI as Service, by Country USD Million (2017-2022)
  • Table 139. North America AI as Service, by Application USD Million (2017-2022)
  • Table 140. North America AI as Service, by Technology USD Million (2017-2022)
  • Table 141. North America AI as Service, by End Use USD Million (2017-2022)
  • Table 142. North America AI as Service, by Service USD Million (2017-2022)
  • Table 143. North America AI as Service, by Scale USD Million (2017-2022)
  • Table 144. United States AI as Service, by Application USD Million (2017-2022)
  • Table 145. United States AI as Service, by Technology USD Million (2017-2022)
  • Table 146. United States AI as Service, by End Use USD Million (2017-2022)
  • Table 147. United States AI as Service, by Service USD Million (2017-2022)
  • Table 148. United States AI as Service, by Scale USD Million (2017-2022)
  • Table 149. Canada AI as Service, by Application USD Million (2017-2022)
  • Table 150. Canada AI as Service, by Technology USD Million (2017-2022)
  • Table 151. Canada AI as Service, by End Use USD Million (2017-2022)
  • Table 152. Canada AI as Service, by Service USD Million (2017-2022)
  • Table 153. Canada AI as Service, by Scale USD Million (2017-2022)
  • Table 154. Mexico AI as Service, by Application USD Million (2017-2022)
  • Table 155. Mexico AI as Service, by Technology USD Million (2017-2022)
  • Table 156. Mexico AI as Service, by End Use USD Million (2017-2022)
  • Table 157. Mexico AI as Service, by Service USD Million (2017-2022)
  • Table 158. Mexico AI as Service, by Scale USD Million (2017-2022)
  • Table 159. Company Basic Information, Sales Area and Its Competitors
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Company Basic Information, Sales Area and Its Competitors
  • Table 169. AI as Service: by Application(USD Million)
  • Table 170. AI as Service Data Storage and Archiving , by Region USD Million (2023-2028)
  • Table 171. AI as Service Modeler and Processing , by Region USD Million (2023-2028)
  • Table 172. AI as Service Cloud and Web-Based Application Programming Interface (APIs) , by Region USD Million (2023-2028)
  • Table 173. AI as Service Others , by Region USD Million (2023-2028)
  • Table 174. AI as Service: by Technology(USD Million)
  • Table 175. AI as Service Machine Learning (ML) and Deep Learning , by Region USD Million (2023-2028)
  • Table 176. AI as Service Natural Language Processing (NLP) , by Region USD Million (2023-2028)
  • Table 177. AI as Service: by End Use(USD Million)
  • Table 178. AI as Service Banking, Financial, and Insurance (BFSI) , by Region USD Million (2023-2028)
  • Table 179. AI as Service Healthcare and Life Sciences , by Region USD Million (2023-2028)
  • Table 180. AI as Service Retail , by Region USD Million (2023-2028)
  • Table 181. AI as Service Telecommunications , by Region USD Million (2023-2028)
  • Table 182. AI as Service Government and defense , by Region USD Million (2023-2028)
  • Table 183. AI as Service Manufacturing , by Region USD Million (2023-2028)
  • Table 184. AI as Service Energy , by Region USD Million (2023-2028)
  • Table 185. AI as Service Others , by Region USD Million (2023-2028)
  • Table 186. AI as Service: by Service(USD Million)
  • Table 187. AI as Service Software Tools , by Region USD Million (2023-2028)
  • Table 188. AI as Service Services (Professional, Managed) , by Region USD Million (2023-2028)
  • Table 189. AI as Service: by Scale(USD Million)
  • Table 190. AI as Service Large Enterprises , by Region USD Million (2023-2028)
  • Table 191. AI as Service Small and Medium-sized Enterprises (SMEs) , by Region USD Million (2023-2028)
  • Table 192. South America AI as Service, by Country USD Million (2023-2028)
  • Table 193. South America AI as Service, by Application USD Million (2023-2028)
  • Table 194. South America AI as Service, by Technology USD Million (2023-2028)
  • Table 195. South America AI as Service, by End Use USD Million (2023-2028)
  • Table 196. South America AI as Service, by Service USD Million (2023-2028)
  • Table 197. South America AI as Service, by Scale USD Million (2023-2028)
  • Table 198. Brazil AI as Service, by Application USD Million (2023-2028)
  • Table 199. Brazil AI as Service, by Technology USD Million (2023-2028)
  • Table 200. Brazil AI as Service, by End Use USD Million (2023-2028)
  • Table 201. Brazil AI as Service, by Service USD Million (2023-2028)
  • Table 202. Brazil AI as Service, by Scale USD Million (2023-2028)
  • Table 203. Argentina AI as Service, by Application USD Million (2023-2028)
  • Table 204. Argentina AI as Service, by Technology USD Million (2023-2028)
  • Table 205. Argentina AI as Service, by End Use USD Million (2023-2028)
  • Table 206. Argentina AI as Service, by Service USD Million (2023-2028)
  • Table 207. Argentina AI as Service, by Scale USD Million (2023-2028)
  • Table 208. Rest of South America AI as Service, by Application USD Million (2023-2028)
  • Table 209. Rest of South America AI as Service, by Technology USD Million (2023-2028)
  • Table 210. Rest of South America AI as Service, by End Use USD Million (2023-2028)
  • Table 211. Rest of South America AI as Service, by Service USD Million (2023-2028)
  • Table 212. Rest of South America AI as Service, by Scale USD Million (2023-2028)
  • Table 213. Asia Pacific AI as Service, by Country USD Million (2023-2028)
  • Table 214. Asia Pacific AI as Service, by Application USD Million (2023-2028)
  • Table 215. Asia Pacific AI as Service, by Technology USD Million (2023-2028)
  • Table 216. Asia Pacific AI as Service, by End Use USD Million (2023-2028)
  • Table 217. Asia Pacific AI as Service, by Service USD Million (2023-2028)
  • Table 218. Asia Pacific AI as Service, by Scale USD Million (2023-2028)
  • Table 219. China AI as Service, by Application USD Million (2023-2028)
  • Table 220. China AI as Service, by Technology USD Million (2023-2028)
  • Table 221. China AI as Service, by End Use USD Million (2023-2028)
  • Table 222. China AI as Service, by Service USD Million (2023-2028)
  • Table 223. China AI as Service, by Scale USD Million (2023-2028)
  • Table 224. Japan AI as Service, by Application USD Million (2023-2028)
  • Table 225. Japan AI as Service, by Technology USD Million (2023-2028)
  • Table 226. Japan AI as Service, by End Use USD Million (2023-2028)
  • Table 227. Japan AI as Service, by Service USD Million (2023-2028)
  • Table 228. Japan AI as Service, by Scale USD Million (2023-2028)
  • Table 229. India AI as Service, by Application USD Million (2023-2028)
  • Table 230. India AI as Service, by Technology USD Million (2023-2028)
  • Table 231. India AI as Service, by End Use USD Million (2023-2028)
  • Table 232. India AI as Service, by Service USD Million (2023-2028)
  • Table 233. India AI as Service, by Scale USD Million (2023-2028)
  • Table 234. South Korea AI as Service, by Application USD Million (2023-2028)
  • Table 235. South Korea AI as Service, by Technology USD Million (2023-2028)
  • Table 236. South Korea AI as Service, by End Use USD Million (2023-2028)
  • Table 237. South Korea AI as Service, by Service USD Million (2023-2028)
  • Table 238. South Korea AI as Service, by Scale USD Million (2023-2028)
  • Table 239. Taiwan AI as Service, by Application USD Million (2023-2028)
  • Table 240. Taiwan AI as Service, by Technology USD Million (2023-2028)
  • Table 241. Taiwan AI as Service, by End Use USD Million (2023-2028)
  • Table 242. Taiwan AI as Service, by Service USD Million (2023-2028)
  • Table 243. Taiwan AI as Service, by Scale USD Million (2023-2028)
  • Table 244. Australia AI as Service, by Application USD Million (2023-2028)
  • Table 245. Australia AI as Service, by Technology USD Million (2023-2028)
  • Table 246. Australia AI as Service, by End Use USD Million (2023-2028)
  • Table 247. Australia AI as Service, by Service USD Million (2023-2028)
  • Table 248. Australia AI as Service, by Scale USD Million (2023-2028)
  • Table 249. Rest of Asia-Pacific AI as Service, by Application USD Million (2023-2028)
  • Table 250. Rest of Asia-Pacific AI as Service, by Technology USD Million (2023-2028)
  • Table 251. Rest of Asia-Pacific AI as Service, by End Use USD Million (2023-2028)
  • Table 252. Rest of Asia-Pacific AI as Service, by Service USD Million (2023-2028)
  • Table 253. Rest of Asia-Pacific AI as Service, by Scale USD Million (2023-2028)
  • Table 254. Europe AI as Service, by Country USD Million (2023-2028)
  • Table 255. Europe AI as Service, by Application USD Million (2023-2028)
  • Table 256. Europe AI as Service, by Technology USD Million (2023-2028)
  • Table 257. Europe AI as Service, by End Use USD Million (2023-2028)
  • Table 258. Europe AI as Service, by Service USD Million (2023-2028)
  • Table 259. Europe AI as Service, by Scale USD Million (2023-2028)
  • Table 260. Germany AI as Service, by Application USD Million (2023-2028)
  • Table 261. Germany AI as Service, by Technology USD Million (2023-2028)
  • Table 262. Germany AI as Service, by End Use USD Million (2023-2028)
  • Table 263. Germany AI as Service, by Service USD Million (2023-2028)
  • Table 264. Germany AI as Service, by Scale USD Million (2023-2028)
  • Table 265. France AI as Service, by Application USD Million (2023-2028)
  • Table 266. France AI as Service, by Technology USD Million (2023-2028)
  • Table 267. France AI as Service, by End Use USD Million (2023-2028)
  • Table 268. France AI as Service, by Service USD Million (2023-2028)
  • Table 269. France AI as Service, by Scale USD Million (2023-2028)
  • Table 270. Italy AI as Service, by Application USD Million (2023-2028)
  • Table 271. Italy AI as Service, by Technology USD Million (2023-2028)
  • Table 272. Italy AI as Service, by End Use USD Million (2023-2028)
  • Table 273. Italy AI as Service, by Service USD Million (2023-2028)
  • Table 274. Italy AI as Service, by Scale USD Million (2023-2028)
  • Table 275. United Kingdom AI as Service, by Application USD Million (2023-2028)
  • Table 276. United Kingdom AI as Service, by Technology USD Million (2023-2028)
  • Table 277. United Kingdom AI as Service, by End Use USD Million (2023-2028)
  • Table 278. United Kingdom AI as Service, by Service USD Million (2023-2028)
  • Table 279. United Kingdom AI as Service, by Scale USD Million (2023-2028)
  • Table 280. Netherlands AI as Service, by Application USD Million (2023-2028)
  • Table 281. Netherlands AI as Service, by Technology USD Million (2023-2028)
  • Table 282. Netherlands AI as Service, by End Use USD Million (2023-2028)
  • Table 283. Netherlands AI as Service, by Service USD Million (2023-2028)
  • Table 284. Netherlands AI as Service, by Scale USD Million (2023-2028)
  • Table 285. Rest of Europe AI as Service, by Application USD Million (2023-2028)
  • Table 286. Rest of Europe AI as Service, by Technology USD Million (2023-2028)
  • Table 287. Rest of Europe AI as Service, by End Use USD Million (2023-2028)
  • Table 288. Rest of Europe AI as Service, by Service USD Million (2023-2028)
  • Table 289. Rest of Europe AI as Service, by Scale USD Million (2023-2028)
  • Table 290. MEA AI as Service, by Country USD Million (2023-2028)
  • Table 291. MEA AI as Service, by Application USD Million (2023-2028)
  • Table 292. MEA AI as Service, by Technology USD Million (2023-2028)
  • Table 293. MEA AI as Service, by End Use USD Million (2023-2028)
  • Table 294. MEA AI as Service, by Service USD Million (2023-2028)
  • Table 295. MEA AI as Service, by Scale USD Million (2023-2028)
  • Table 296. Middle East AI as Service, by Application USD Million (2023-2028)
  • Table 297. Middle East AI as Service, by Technology USD Million (2023-2028)
  • Table 298. Middle East AI as Service, by End Use USD Million (2023-2028)
  • Table 299. Middle East AI as Service, by Service USD Million (2023-2028)
  • Table 300. Middle East AI as Service, by Scale USD Million (2023-2028)
  • Table 301. Africa AI as Service, by Application USD Million (2023-2028)
  • Table 302. Africa AI as Service, by Technology USD Million (2023-2028)
  • Table 303. Africa AI as Service, by End Use USD Million (2023-2028)
  • Table 304. Africa AI as Service, by Service USD Million (2023-2028)
  • Table 305. Africa AI as Service, by Scale USD Million (2023-2028)
  • Table 306. North America AI as Service, by Country USD Million (2023-2028)
  • Table 307. North America AI as Service, by Application USD Million (2023-2028)
  • Table 308. North America AI as Service, by Technology USD Million (2023-2028)
  • Table 309. North America AI as Service, by End Use USD Million (2023-2028)
  • Table 310. North America AI as Service, by Service USD Million (2023-2028)
  • Table 311. North America AI as Service, by Scale USD Million (2023-2028)
  • Table 312. United States AI as Service, by Application USD Million (2023-2028)
  • Table 313. United States AI as Service, by Technology USD Million (2023-2028)
  • Table 314. United States AI as Service, by End Use USD Million (2023-2028)
  • Table 315. United States AI as Service, by Service USD Million (2023-2028)
  • Table 316. United States AI as Service, by Scale USD Million (2023-2028)
  • Table 317. Canada AI as Service, by Application USD Million (2023-2028)
  • Table 318. Canada AI as Service, by Technology USD Million (2023-2028)
  • Table 319. Canada AI as Service, by End Use USD Million (2023-2028)
  • Table 320. Canada AI as Service, by Service USD Million (2023-2028)
  • Table 321. Canada AI as Service, by Scale USD Million (2023-2028)
  • Table 322. Mexico AI as Service, by Application USD Million (2023-2028)
  • Table 323. Mexico AI as Service, by Technology USD Million (2023-2028)
  • Table 324. Mexico AI as Service, by End Use USD Million (2023-2028)
  • Table 325. Mexico AI as Service, by Service USD Million (2023-2028)
  • Table 326. Mexico AI as Service, by Scale USD Million (2023-2028)
  • Table 327. Research Programs/Design for This Report
  • Table 328. Key Data Information from Secondary Sources
  • Table 329. 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 as Service: by Application USD Million (2017-2022)
  • Figure 5. Global AI as Service: by Technology USD Million (2017-2022)
  • Figure 6. Global AI as Service: by End Use USD Million (2017-2022)
  • Figure 7. Global AI as Service: by Service USD Million (2017-2022)
  • Figure 8. Global AI as Service: by Scale USD Million (2017-2022)
  • Figure 9. South America AI as Service Share (%), by Country
  • Figure 10. Asia Pacific AI as Service Share (%), by Country
  • Figure 11. Europe AI as Service Share (%), by Country
  • Figure 12. MEA AI as Service Share (%), by Country
  • Figure 13. North America AI as Service Share (%), by Country
  • Figure 14. Global AI as Service share by Players 2022 (%)
  • Figure 15. Global AI as Service share by Players (Top 3) 2022(%)
  • Figure 16. Global AI as Service share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM Corporation (United States) Revenue: by Geography 2022
  • Figure 20. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 21. SAP SE (Germany) Revenue: by Geography 2022
  • Figure 22. Microsoft Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 23. Microsoft Inc. (United States) Revenue: by Geography 2022
  • Figure 24. Google (United States) Revenue, Net Income and Gross profit
  • Figure 25. Google (United States) Revenue: by Geography 2022
  • Figure 26. Amazon Web Service, Inc (United States) Revenue, Net Income and Gross profit
  • Figure 27. Amazon Web Service, Inc (United States) Revenue: by Geography 2022
  • Figure 28. Salesforce Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 29. Salesforce Inc. (United States) Revenue: by Geography 2022
  • Figure 30. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 31. Intel Corporation (United States) Revenue: by Geography 2022
  • Figure 32. Baidu, Inc (China) Revenue, Net Income and Gross profit
  • Figure 33. Baidu, Inc (China) Revenue: by Geography 2022
  • Figure 34. Fair Isaac Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 35. Fair Isaac Corporation (United States) Revenue: by Geography 2022
  • Figure 36. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 37. SAS Institute (United States) Revenue: by Geography 2022
  • Figure 38. Global AI as Service: by Application USD Million (2023-2028)
  • Figure 39. Global AI as Service: by Technology USD Million (2023-2028)
  • Figure 40. Global AI as Service: by End Use USD Million (2023-2028)
  • Figure 41. Global AI as Service: by Service USD Million (2023-2028)
  • Figure 42. Global AI as Service: by Scale USD Million (2023-2028)
  • Figure 43. South America AI as Service Share (%), by Country
  • Figure 44. Asia Pacific AI as Service Share (%), by Country
  • Figure 45. Europe AI as Service Share (%), by Country
  • Figure 46. MEA AI as Service Share (%), by Country
  • Figure 47. North America AI as Service Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM Corporation (United States)
  • SAP SE (Germany)
  • Microsoft Inc. (United States)
  • Google (United States)
  • Amazon Web Service, Inc (United States)
  • Salesforce Inc. (United States)
  • Intel Corporation (United States)
  • Baidu, Inc (China)
  • Fair Isaac Corporation (United States)
  • SAS Institute (United States)
Additional players considered in the study are as follows:
BigML Inc. (United States) , MonkeyLearn (United States) , ServiceNow (United States) , Hewlett Packard Enterprise (United States)
Select User Access Type

Key Highlights of Report


May 2023 241 Pages 77 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

Request Sample Pages

Budget constraints? Get in touch with us for special pricing


Check Discount Now

Talk to Our Experts

Want to Customize Study?


"We employ Market statistics, Industry benchmarking, Patent analysis, and Technological Insights to derive requirements and provide customize scope of work."

Make an Enquiry Now

Frequently Asked Questions (FAQ):

The key segments that are playing vital role in AI as Service Market are by end use application [Data Storage and Archiving, Modeler and Processing, Cloud and Web-Based Application Programming Interface (APIs) and Others].
The AI as Service Market is gaining popularity and expected to see strong valuation by 2028.
  • High Rate of Digitization Across Different Industry Verticals
  • Demand for AI-Powered Services in the Form of API and SDK

Know More About Global AI as Service Report?