Global Artificial Intelligence Platform

Artificial Intelligence Platform Comprehensive Study by Application (Forecasts and Prescriptive Models, Chat-bots, Speech Recognition, Text recognition, Others), Deployment Mode (Cloud, On-premises), End-User (Manufacturing, Healthcare, BFSI, Research and academia, Transportation, Retail and e-commerce, Others), Component (Tools, Services) Players and Region - Global Market Outlook to 2028

Artificial Intelligence Platform Market by XX Submarkets | Forecast Years 203-2028  

Access Sample Report Make An Enquiry Before Purchase
  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Artificial Intelligence Platform
Artificial Intelligence Platform may be a framework designed for various industries to work more efficiently and intelligently than traditional frameworks. It can help to scale back costs during a number of methods like preventing duplication of labor, automating easier tasks, and eliminating several expensive activities, like copying or extracting of knowledge. A man-made intelligence platform also provides data management, guaranteeing the utilization of best methods by a team of AI researchers and machine learning experts. It helps to make sure that the work is distributed uniformly and completed quickly.

AttributesDetails
Study Period2018-2028
Base Year202
UnitValue (USD Million)


The market is seeing moderate market players, by seeing huge growth in this market the key leading vendors are highly focusing towards the production technologies, efficiency enhancement and product life. There is various growth opportunity in this market which is captured by leading players via tracking the ongoing process enhancement and huge invest in market growth strategies. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Artificial Intelligence Platform 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.

Microsoft (United States), Google (United States), Salesforce (United States), IBM (United States), Intel (United States), Amazon Web Services (United States), HPE (United States), Ayasdi (United States), Qualcomm Technologies (United States) and Absolutdata (United States) are some of the key players that are part of study coverage.

Segmentation Overview
AMA Research has segmented the market of Global Artificial Intelligence Platform market by , Application (Forecasts and Prescriptive Models, Chat-bots, Speech Recognition, Text recognition and Others) and Region.



On the basis of geography, the market of Artificial Intelligence Platform 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 Artificial Intelligence Platform market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End-User, the sub-segment i.e. Manufacturing will boost the Artificial Intelligence Platform market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Tools will boost the Artificial Intelligence Platform market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Innovation in Big Data technology and Adoption of AI Capabilities

Market Growth Drivers:
Growth of Automotive Industries and IT-firms

Challenges:
Adoption of Latest Technology by the Businesses during the Pandemic

Restraints:
Security Related Issues and Lack of Skilled Professionals

Opportunities:
Increase in Innovations across End-users and Use of Artificial Intelligence to Identify Business Trends

Market Leaders and their expansionary development strategies
In May 2022, Salesforce finalized its acquisition of Troops.ai. A leading provider of revenue communication solutions used to improve sales velocity, forecasting, visibility and collaboration between teams. Upon completion of the acquisition, Troops will become part of Slack, a Salesforce company.
In 2021, Hewlett Packard Enterprise announced at HPE Discover that it is extending its leadership in hybrid cloud with a comprehensive set of innovations to the HPE Green Lake edge to cloud platform, the industry’s most robust and proven platform for cloud services in the data center, in a collocation center and at the edge. Innovations span applications, security, silicon and software with automated, cloud-native capabilities that can be performed in just a few clicks and managed in a unified platform.


Key Target Audience
AI Platform Software and Service Providers, Venture Capitalist, Government Organizations, Advisory Firms, Training and Education Service Providers, Managed Service Providers and Others

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

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

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

Report Objectives / Segmentation Covered

By Application
  • Forecasts and Prescriptive Models
  • Chat-bots
  • Speech Recognition
  • Text recognition
  • Others
By Deployment Mode
  • Cloud
  • On-premises

By End-User
  • Manufacturing
  • Healthcare
  • BFSI
  • Research and academia
  • Transportation
  • Retail and e-commerce
  • Others

By Component
  • Tools
  • Services

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Growth of Automotive Industries and IT-firms
    • 3.3. Market Challenges
      • 3.3.1. Adoption of Latest Technology by the Businesses during the Pandemic
    • 3.4. Market Trends
      • 3.4.1. Innovation in Big Data technology
      • 3.4.2. Adoption of AI Capabilities
  • 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 Artificial Intelligence Platform, by Application, Deployment Mode, End-User, Component and Region (value) (197-202)
    • 5.1. Introduction
    • 5.2. Global Artificial Intelligence Platform (Value)
      • 5.2.1. Global Artificial Intelligence Platform by: Application (Value)
        • 5.2.1.1. Forecasts and Prescriptive Models
        • 5.2.1.2. Chat-bots
        • 5.2.1.3. Speech Recognition
        • 5.2.1.4. Text recognition
        • 5.2.1.5. Others
      • 5.2.2. Global Artificial Intelligence Platform by: Deployment Mode (Value)
        • 5.2.2.1. Cloud
        • 5.2.2.2. On-premises
      • 5.2.3. Global Artificial Intelligence Platform by: End-User (Value)
        • 5.2.3.1. Manufacturing
        • 5.2.3.2. Healthcare
        • 5.2.3.3. BFSI
        • 5.2.3.4. Research and academia
        • 5.2.3.5. Transportation
        • 5.2.3.6. Retail and e-commerce
        • 5.2.3.7. Others
      • 5.2.4. Global Artificial Intelligence Platform by: Component (Value)
        • 5.2.4.1. Tools
        • 5.2.4.2. Services
      • 5.2.5. Global Artificial Intelligence Platform 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. Artificial Intelligence Platform: 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 (202)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Microsoft (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. Salesforce (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. IBM (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Intel (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. 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. HPE (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. Ayasdi (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. Qualcomm Technologies (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. Absolutdata (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 Artificial Intelligence Platform Sale, by Application, Deployment Mode, End-User, Component and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Artificial Intelligence Platform (Value)
      • 7.2.1. Global Artificial Intelligence Platform by: Application (Value)
        • 7.2.1.1. Forecasts and Prescriptive Models
        • 7.2.1.2. Chat-bots
        • 7.2.1.3. Speech Recognition
        • 7.2.1.4. Text recognition
        • 7.2.1.5. Others
      • 7.2.2. Global Artificial Intelligence Platform by: Deployment Mode (Value)
        • 7.2.2.1. Cloud
        • 7.2.2.2. On-premises
      • 7.2.3. Global Artificial Intelligence Platform by: End-User (Value)
        • 7.2.3.1. Manufacturing
        • 7.2.3.2. Healthcare
        • 7.2.3.3. BFSI
        • 7.2.3.4. Research and academia
        • 7.2.3.5. Transportation
        • 7.2.3.6. Retail and e-commerce
        • 7.2.3.7. Others
      • 7.2.4. Global Artificial Intelligence Platform by: Component (Value)
        • 7.2.4.1. Tools
        • 7.2.4.2. Services
      • 7.2.5. Global Artificial Intelligence Platform 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. Artificial Intelligence Platform: by Application(USD Million)
  • Table 2. Artificial Intelligence Platform Forecasts and Prescriptive Models , by Region USD Million (197-202)
  • Table 3. Artificial Intelligence Platform Chat-bots , by Region USD Million (197-202)
  • Table 4. Artificial Intelligence Platform Speech Recognition , by Region USD Million (197-202)
  • Table 5. Artificial Intelligence Platform Text recognition , by Region USD Million (197-202)
  • Table 6. Artificial Intelligence Platform Others , by Region USD Million (197-202)
  • Table 7. Artificial Intelligence Platform: by Deployment Mode(USD Million)
  • Table 8. Artificial Intelligence Platform Cloud , by Region USD Million (197-202)
  • Table 9. Artificial Intelligence Platform On-premises , by Region USD Million (197-202)
  • Table 10. Artificial Intelligence Platform: by End-User(USD Million)
  • Table 11. Artificial Intelligence Platform Manufacturing , by Region USD Million (197-202)
  • Table 12. Artificial Intelligence Platform Healthcare , by Region USD Million (197-202)
  • Table 13. Artificial Intelligence Platform BFSI , by Region USD Million (197-202)
  • Table 14. Artificial Intelligence Platform Research and academia , by Region USD Million (197-202)
  • Table 15. Artificial Intelligence Platform Transportation , by Region USD Million (197-202)
  • Table 16. Artificial Intelligence Platform Retail and e-commerce , by Region USD Million (197-202)
  • Table 17. Artificial Intelligence Platform Others , by Region USD Million (197-202)
  • Table 18. Artificial Intelligence Platform: by Component(USD Million)
  • Table 19. Artificial Intelligence Platform Tools , by Region USD Million (197-202)
  • Table 20. Artificial Intelligence Platform Services , by Region USD Million (197-202)
  • Table 21. South America Artificial Intelligence Platform, by Country USD Million (197-202)
  • Table 22. South America Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 23. South America Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 24. South America Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 25. South America Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 26. Brazil Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 27. Brazil Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 28. Brazil Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 29. Brazil Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 30. Argentina Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 31. Argentina Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 32. Argentina Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 33. Argentina Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 34. Rest of South America Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 35. Rest of South America Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 36. Rest of South America Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 37. Rest of South America Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 38. Asia Pacific Artificial Intelligence Platform, by Country USD Million (197-202)
  • Table 39. Asia Pacific Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 40. Asia Pacific Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 41. Asia Pacific Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 42. Asia Pacific Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 43. China Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 44. China Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 45. China Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 46. China Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 47. Japan Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 48. Japan Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 49. Japan Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 50. Japan Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 51. India Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 52. India Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 53. India Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 54. India Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 55. South Korea Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 56. South Korea Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 57. South Korea Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 58. South Korea Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 59. Taiwan Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 60. Taiwan Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 61. Taiwan Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 62. Taiwan Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 63. Australia Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 64. Australia Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 65. Australia Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 66. Australia Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 67. Rest of Asia-Pacific Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 68. Rest of Asia-Pacific Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 69. Rest of Asia-Pacific Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 70. Rest of Asia-Pacific Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 71. Europe Artificial Intelligence Platform, by Country USD Million (197-202)
  • Table 72. Europe Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 73. Europe Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 74. Europe Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 75. Europe Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 76. Germany Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 77. Germany Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 78. Germany Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 79. Germany Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 80. France Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 81. France Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 82. France Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 83. France Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 84. Italy Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 85. Italy Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 86. Italy Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 87. Italy Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 88. United Kingdom Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 89. United Kingdom Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 90. United Kingdom Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 91. United Kingdom Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 92. Netherlands Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 93. Netherlands Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 94. Netherlands Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 95. Netherlands Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 96. Rest of Europe Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 97. Rest of Europe Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 98. Rest of Europe Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 99. Rest of Europe Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 100. MEA Artificial Intelligence Platform, by Country USD Million (197-202)
  • Table 101. MEA Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 102. MEA Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 103. MEA Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 104. MEA Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 105. Middle East Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 106. Middle East Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 107. Middle East Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 108. Middle East Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 109. Africa Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 110. Africa Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 111. Africa Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 112. Africa Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 113. North America Artificial Intelligence Platform, by Country USD Million (197-202)
  • Table 114. North America Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 115. North America Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 116. North America Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 117. North America Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 118. United States Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 119. United States Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 120. United States Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 121. United States Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 122. Canada Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 123. Canada Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 124. Canada Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 125. Canada Artificial Intelligence Platform, by Component USD Million (197-202)
  • Table 126. Mexico Artificial Intelligence Platform, by Application USD Million (197-202)
  • Table 127. Mexico Artificial Intelligence Platform, by Deployment Mode USD Million (197-202)
  • Table 128. Mexico Artificial Intelligence Platform, by End-User USD Million (197-202)
  • Table 129. Mexico Artificial Intelligence Platform, by Component USD Million (197-202)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Artificial Intelligence Platform: by Application(USD Million)
  • Table 141. Artificial Intelligence Platform Forecasts and Prescriptive Models , by Region USD Million (2023-2028)
  • Table 142. Artificial Intelligence Platform Chat-bots , by Region USD Million (2023-2028)
  • Table 143. Artificial Intelligence Platform Speech Recognition , by Region USD Million (2023-2028)
  • Table 144. Artificial Intelligence Platform Text recognition , by Region USD Million (2023-2028)
  • Table 145. Artificial Intelligence Platform Others , by Region USD Million (2023-2028)
  • Table 146. Artificial Intelligence Platform: by Deployment Mode(USD Million)
  • Table 147. Artificial Intelligence Platform Cloud , by Region USD Million (2023-2028)
  • Table 148. Artificial Intelligence Platform On-premises , by Region USD Million (2023-2028)
  • Table 149. Artificial Intelligence Platform: by End-User(USD Million)
  • Table 150. Artificial Intelligence Platform Manufacturing , by Region USD Million (2023-2028)
  • Table 151. Artificial Intelligence Platform Healthcare , by Region USD Million (2023-2028)
  • Table 152. Artificial Intelligence Platform BFSI , by Region USD Million (2023-2028)
  • Table 153. Artificial Intelligence Platform Research and academia , by Region USD Million (2023-2028)
  • Table 154. Artificial Intelligence Platform Transportation , by Region USD Million (2023-2028)
  • Table 155. Artificial Intelligence Platform Retail and e-commerce , by Region USD Million (2023-2028)
  • Table 156. Artificial Intelligence Platform Others , by Region USD Million (2023-2028)
  • Table 157. Artificial Intelligence Platform: by Component(USD Million)
  • Table 158. Artificial Intelligence Platform Tools , by Region USD Million (2023-2028)
  • Table 159. Artificial Intelligence Platform Services , by Region USD Million (2023-2028)
  • Table 160. South America Artificial Intelligence Platform, by Country USD Million (2023-2028)
  • Table 161. South America Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 162. South America Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 163. South America Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 164. South America Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 165. Brazil Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 166. Brazil Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 167. Brazil Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 168. Brazil Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 169. Argentina Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 170. Argentina Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 171. Argentina Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 172. Argentina Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 173. Rest of South America Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 174. Rest of South America Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 175. Rest of South America Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 176. Rest of South America Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 177. Asia Pacific Artificial Intelligence Platform, by Country USD Million (2023-2028)
  • Table 178. Asia Pacific Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 179. Asia Pacific Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 180. Asia Pacific Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 181. Asia Pacific Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 182. China Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 183. China Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 184. China Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 185. China Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 186. Japan Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 187. Japan Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 188. Japan Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 189. Japan Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 190. India Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 191. India Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 192. India Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 193. India Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 194. South Korea Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 195. South Korea Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 196. South Korea Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 197. South Korea Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 198. Taiwan Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 199. Taiwan Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 200. Taiwan Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 201. Taiwan Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 202. Australia Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 203. Australia Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 204. Australia Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 205. Australia Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 206. Rest of Asia-Pacific Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 207. Rest of Asia-Pacific Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 208. Rest of Asia-Pacific Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 209. Rest of Asia-Pacific Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 210. Europe Artificial Intelligence Platform, by Country USD Million (2023-2028)
  • Table 211. Europe Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 212. Europe Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 213. Europe Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 214. Europe Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 215. Germany Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 216. Germany Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 217. Germany Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 218. Germany Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 219. France Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 220. France Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 221. France Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 222. France Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 223. Italy Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 224. Italy Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 225. Italy Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 226. Italy Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 227. United Kingdom Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 228. United Kingdom Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 229. United Kingdom Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 230. United Kingdom Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 231. Netherlands Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 232. Netherlands Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 233. Netherlands Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 234. Netherlands Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 235. Rest of Europe Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 236. Rest of Europe Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 237. Rest of Europe Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 238. Rest of Europe Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 239. MEA Artificial Intelligence Platform, by Country USD Million (2023-2028)
  • Table 240. MEA Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 241. MEA Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 242. MEA Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 243. MEA Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 244. Middle East Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 245. Middle East Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 246. Middle East Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 247. Middle East Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 248. Africa Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 249. Africa Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 250. Africa Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 251. Africa Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 252. North America Artificial Intelligence Platform, by Country USD Million (2023-2028)
  • Table 253. North America Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 254. North America Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 255. North America Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 256. North America Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 257. United States Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 258. United States Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 259. United States Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 260. United States Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 261. Canada Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 262. Canada Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 263. Canada Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 264. Canada Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 265. Mexico Artificial Intelligence Platform, by Application USD Million (2023-2028)
  • Table 266. Mexico Artificial Intelligence Platform, by Deployment Mode USD Million (2023-2028)
  • Table 267. Mexico Artificial Intelligence Platform, by End-User USD Million (2023-2028)
  • Table 268. Mexico Artificial Intelligence Platform, by Component USD Million (2023-2028)
  • Table 269. Research Programs/Design for This Report
  • Table 270. Key Data Information from Secondary Sources
  • Table 271. 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 Artificial Intelligence Platform: by Application USD Million (197-202)
  • Figure 5. Global Artificial Intelligence Platform: by Deployment Mode USD Million (197-202)
  • Figure 6. Global Artificial Intelligence Platform: by End-User USD Million (197-202)
  • Figure 7. Global Artificial Intelligence Platform: by Component USD Million (197-202)
  • Figure 8. South America Artificial Intelligence Platform Share (%), by Country
  • Figure 9. Asia Pacific Artificial Intelligence Platform Share (%), by Country
  • Figure 10. Europe Artificial Intelligence Platform Share (%), by Country
  • Figure 11. MEA Artificial Intelligence Platform Share (%), by Country
  • Figure 12. North America Artificial Intelligence Platform Share (%), by Country
  • Figure 13. Global Artificial Intelligence Platform share by Players 202 (%)
  • Figure 14. Global Artificial Intelligence Platform share by Players (Top 3) 202(%)
  • Figure 15. Global Artificial Intelligence Platform share by Players (Top 5) 202(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 18. Microsoft (United States) Revenue: by Geography 202
  • Figure 19. Google (United States) Revenue, Net Income and Gross profit
  • Figure 20. Google (United States) Revenue: by Geography 202
  • Figure 21. Salesforce (United States) Revenue, Net Income and Gross profit
  • Figure 22. Salesforce (United States) Revenue: by Geography 202
  • Figure 23. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 24. IBM (United States) Revenue: by Geography 202
  • Figure 25. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 26. Intel (United States) Revenue: by Geography 202
  • Figure 27. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 28. Amazon Web Services (United States) Revenue: by Geography 202
  • Figure 29. HPE (United States) Revenue, Net Income and Gross profit
  • Figure 30. HPE (United States) Revenue: by Geography 202
  • Figure 31. Ayasdi (United States) Revenue, Net Income and Gross profit
  • Figure 32. Ayasdi (United States) Revenue: by Geography 202
  • Figure 33. Qualcomm Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 34. Qualcomm Technologies (United States) Revenue: by Geography 202
  • Figure 35. Absolutdata (United States) Revenue, Net Income and Gross profit
  • Figure 36. Absolutdata (United States) Revenue: by Geography 202
  • Figure 37. Global Artificial Intelligence Platform: by Application USD Million (2023-2028)
  • Figure 38. Global Artificial Intelligence Platform: by Deployment Mode USD Million (2023-2028)
  • Figure 39. Global Artificial Intelligence Platform: by End-User USD Million (2023-2028)
  • Figure 40. Global Artificial Intelligence Platform: by Component USD Million (2023-2028)
  • Figure 41. South America Artificial Intelligence Platform Share (%), by Country
  • Figure 42. Asia Pacific Artificial Intelligence Platform Share (%), by Country
  • Figure 43. Europe Artificial Intelligence Platform Share (%), by Country
  • Figure 44. MEA Artificial Intelligence Platform Share (%), by Country
  • Figure 45. North America Artificial Intelligence Platform Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Microsoft (United States)
  • Google (United States)
  • Salesforce (United States)
  • IBM (United States)
  • Intel (United States)
  • Amazon Web Services (United States)
  • HPE (United States)
  • Ayasdi (United States)
  • Qualcomm Technologies (United States)
  • Absolutdata (United States)
Select User Access Type

Key Highlights of Report


Apr 2023 206 Pages 55 Tables Base Year: 202 Coverage: 15+ Companies; 18 Countries

Request Sample Pages

Budget constraints? Get in touch with us for special pricing


Check Discount Now
Global Artificial Intelligence Platform Quantitative research analysis
Global Artificial Intelligence Platform Qualitative Industry Analysis
DOWNLOAD SAMPLE PDF

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 standard version of the report profiles players such as Microsoft (United States), Google (United States), Salesforce (United States), IBM (United States), Intel (United States), Amazon Web Services (United States), HPE (United States), Ayasdi (United States), Qualcomm Technologies (United States) and Absolutdata (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Innovation in Big Data technology " is seen as one of major influencing trends for Artificial Intelligence Platform Market during projected period 202-2028.
The Artificial Intelligence Platform 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.

Know More About Global Artificial Intelligence Platform Report?

Have a Query? Click Here

Other Related Reports

Hybrid IT Management Comprehensive Study by End-User Industry (BFSI, IT and Telecommunications, Healthcare, Retail, Government, Others), Organization Size (SMEs, Large Enterprises), Service Model (So...
$ 3450
Software Consulting Comprehensive Study by Type (Enterprise Solutions, Application Development, Migration and Maintenance Services, Design Services, Application Testing Services, Software Security Se...
$ 3750
Industrial Artificial Intelligence Comprehensive Study by Technology (Computer Vision, Machine Learning, Others), Industry Verticals (Transportation, Healthcare, Finance, Manufacturing Industries, Ad...
$ 3500
Public Cloud Infrastructure Managed Service Comprehensive Study by Application (Assess Product or Service, Sales Execution/Pricing, Market Responsiveness/Record, Marketing Execution, Customer Experie...
$ 3650
Medical Transcription IT Spending Comprehensive Study by Type (Software, Service), Application (Hospitals, Physician Practices, Clinical Laboratories, Academic Medical Centers, Others) Players and Re...
$ 3500
Secure Email Gateway Comprehensive Study by Type (Software {Cloud-based, On-premises, Hybrid}, Services), Application (Telecom and IT, Healthcare, Government Sector, Media and Entertainment, Banking ...
$ 3350