Global AI in Fintech
Global AI in Fintech

AI in Fintech Comprehensive Study by Type (Software Tools, Platforms, Industry Segmentation, Virtual Assistant, Business Analytics and Reporting, Customer Behavioral Analytics, Others), Application (Virtual Assistant (Chatbots), Business Analytics and Reporting, Customer Behavioral Analytics, Others (includes market research, advertising, and marketing campaign)), Components (Solution, Services), Deployment Mode (Cloud, On-premises) Players and Region - Global Market Outlook to 2025

AI in Fintech Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Jan 2020 Edition 220 Pages 210 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
AI in Fintech Market Definition
AI in Fintech is refer as artificial intelligence applied in Fintech which helps Fintech companies in solving human problems, by increasing efficiency. Artificial Intelligence improves results by applying methods derived from aspects of Human Intelligence at a beyond human scale. Artificial Intelligence improves results by applying methods derived from aspects of Human Intelligence at a beyond human scale.

The market study is broken down by Type (Software Tools, Platforms, Industry Segmentation, Virtual Assistant, Business Analytics and Reporting, Customer Behavioral Analytics and Others), by Application (Virtual Assistant (Chatbots), Business Analytics and Reporting, Customer Behavioral Analytics and Others (includes market research, advertising, and marketing campaign)) and major geographies with country level splits.

The rising number of players expected to enter the global market is predicted to enhance the competition level as well as encourage the growth of the overall market in the near future. Players are anticipated to focus on the development of new technology, which is likely to encourage the growth of the global market throughout the forecast period.

Microsoft (United States), Google (United States), Salesforce.com (United States), IBM (United States), Intel (United States), Amazon Web Services (United States), Inbenta Technologies (United States), IPsoft (United States), Nuance Communications (United States) and ComplyAdvantage.com (United States) are some of the key players that are part of study coverage.

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global AI in Fintech market by Type, Application and Region.

On the basis of geography, the market of AI in Fintech 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 Components, the sub-segment i.e. Solution will boost the AI in Fintech market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment Mode, the sub-segment i.e. Cloud will boost the AI in Fintech market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.




Market Trend
  • Rising technological penetration

Market Drivers
  • Fraud prevention and detection represent the most significant area of concern, for the financial institutions. This segment is likely to become one of the prominent drivers of IT expenditure. Thus, AI capable of avoiding these frauds is expected to experience increased adoption in Fintechs.

Opportunities
  • Increasing mobile workforce is surging further innovation in the Fintech market
  • Increasing use of AI-enabled technological solution in the capital market

Restraints
  • Lack of skilled consultants to deploy AI in Fintech

Challenges
  • Difficulty to cope with the rapidly expanding scope of AI in Fintech solution
  • Development of smart human-aware Fintech solution


Key Target Audience
AI in Fintech Providers, Potential Technology Investors, Information security directors/managers, BFSI organizations, IT directors/consultants, Consultants/advisory firms, Training and education service providers, Regulatory & Government Bodies, Downstream Vendors and Other

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 total available market.

Customization available in this Study:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
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Report Objectives / Segmentation Covered
By Type
  • Software Tools
  • Platforms
  • Industry Segmentation
  • Virtual Assistant
  • Business Analytics and Reporting
  • Customer Behavioral Analytics
  • Others
By Application
  • Virtual Assistant (Chatbots)
  • Business Analytics and Reporting
  • Customer Behavioral Analytics
  • Others (includes market research, advertising, and marketing campaign)
By Components
  • Solution
  • Services

By Deployment Mode
  • Cloud
  • On-premises

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. Fraud prevention and detection represent the most significant area of concern, for the financial institutions. This segment is likely to become one of the prominent drivers of IT expenditure. Thus, AI capable of avoiding these frauds is expected to experience increased adoption in Fintechs.
    • 3.3. Market Challenges
      • 3.3.1. Difficulty to cope with the rapidly expanding scope of AI in Fintech solution
      • 3.3.2. Development of smart human-aware Fintech solution
    • 3.4. Market Trends
      • 3.4.1. Rising technological penetration
  • 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 Fintech, by Type, Application, Components, Deployment Mode and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global AI in Fintech (Value)
      • 5.2.1. Global AI in Fintech by: Type (Value)
        • 5.2.1.1. Software Tools
        • 5.2.1.2. Platforms
        • 5.2.1.3. Industry Segmentation
        • 5.2.1.4. Virtual Assistant
        • 5.2.1.5. Business Analytics and Reporting
        • 5.2.1.6. Customer Behavioral Analytics
        • 5.2.1.7. Others
      • 5.2.2. Global AI in Fintech by: Application (Value)
        • 5.2.2.1. Virtual Assistant (Chatbots)
        • 5.2.2.2. Business Analytics and Reporting
        • 5.2.2.3. Customer Behavioral Analytics
        • 5.2.2.4. Others (includes market research, advertising, and marketing campaign)
      • 5.2.3. Global AI in Fintech by: Components (Value)
        • 5.2.3.1. Solution
        • 5.2.3.2. Services
      • 5.2.4. Global AI in Fintech by: Deployment Mode (Value)
        • 5.2.4.1. Cloud
        • 5.2.4.2. On-premises
      • 5.2.5. Global AI in Fintech 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 Fintech: 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 (2019)
    • 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.com (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. Inbenta Technologies (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. IPsoft (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. Nuance Communications (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. ComplyAdvantage.com (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 Fintech Sale, by Type, Application, Components, Deployment Mode and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global AI in Fintech (Value)
      • 7.2.1. Global AI in Fintech by: Type (Value)
        • 7.2.1.1. Software Tools
        • 7.2.1.2. Platforms
        • 7.2.1.3. Industry Segmentation
        • 7.2.1.4. Virtual Assistant
        • 7.2.1.5. Business Analytics and Reporting
        • 7.2.1.6. Customer Behavioral Analytics
        • 7.2.1.7. Others
      • 7.2.2. Global AI in Fintech by: Application (Value)
        • 7.2.2.1. Virtual Assistant (Chatbots)
        • 7.2.2.2. Business Analytics and Reporting
        • 7.2.2.3. Customer Behavioral Analytics
        • 7.2.2.4. Others (includes market research, advertising, and marketing campaign)
      • 7.2.3. Global AI in Fintech by: Components (Value)
        • 7.2.3.1. Solution
        • 7.2.3.2. Services
      • 7.2.4. Global AI in Fintech by: Deployment Mode (Value)
        • 7.2.4.1. Cloud
        • 7.2.4.2. On-premises
      • 7.2.5. Global AI in Fintech 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 Fintech: by Type(USD Million)
  • Table 2. AI in Fintech Software Tools , by Region USD Million (2014-2019)
  • Table 3. AI in Fintech Platforms , by Region USD Million (2014-2019)
  • Table 4. AI in Fintech Industry Segmentation , by Region USD Million (2014-2019)
  • Table 5. AI in Fintech Virtual Assistant , by Region USD Million (2014-2019)
  • Table 6. AI in Fintech Business Analytics and Reporting , by Region USD Million (2014-2019)
  • Table 7. AI in Fintech Customer Behavioral Analytics , by Region USD Million (2014-2019)
  • Table 8. AI in Fintech Others , by Region USD Million (2014-2019)
  • Table 9. AI in Fintech: by Application(USD Million)
  • Table 10. AI in Fintech Virtual Assistant (Chatbots) , by Region USD Million (2014-2019)
  • Table 11. AI in Fintech Business Analytics and Reporting , by Region USD Million (2014-2019)
  • Table 12. AI in Fintech Customer Behavioral Analytics , by Region USD Million (2014-2019)
  • Table 13. AI in Fintech Others (includes market research, advertising, and marketing campaign) , by Region USD Million (2014-2019)
  • Table 14. AI in Fintech: by Components(USD Million)
  • Table 15. AI in Fintech Solution , by Region USD Million (2014-2019)
  • Table 16. AI in Fintech Services , by Region USD Million (2014-2019)
  • Table 17. AI in Fintech: by Deployment Mode(USD Million)
  • Table 18. AI in Fintech Cloud , by Region USD Million (2014-2019)
  • Table 19. AI in Fintech On-premises , by Region USD Million (2014-2019)
  • Table 20. South America AI in Fintech, by Country USD Million (2014-2019)
  • Table 21. South America AI in Fintech, by Type USD Million (2014-2019)
  • Table 22. South America AI in Fintech, by Application USD Million (2014-2019)
  • Table 23. South America AI in Fintech, by Components USD Million (2014-2019)
  • Table 24. South America AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 25. Brazil AI in Fintech, by Type USD Million (2014-2019)
  • Table 26. Brazil AI in Fintech, by Application USD Million (2014-2019)
  • Table 27. Brazil AI in Fintech, by Components USD Million (2014-2019)
  • Table 28. Brazil AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 29. Argentina AI in Fintech, by Type USD Million (2014-2019)
  • Table 30. Argentina AI in Fintech, by Application USD Million (2014-2019)
  • Table 31. Argentina AI in Fintech, by Components USD Million (2014-2019)
  • Table 32. Argentina AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 33. Rest of South America AI in Fintech, by Type USD Million (2014-2019)
  • Table 34. Rest of South America AI in Fintech, by Application USD Million (2014-2019)
  • Table 35. Rest of South America AI in Fintech, by Components USD Million (2014-2019)
  • Table 36. Rest of South America AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 37. Asia Pacific AI in Fintech, by Country USD Million (2014-2019)
  • Table 38. Asia Pacific AI in Fintech, by Type USD Million (2014-2019)
  • Table 39. Asia Pacific AI in Fintech, by Application USD Million (2014-2019)
  • Table 40. Asia Pacific AI in Fintech, by Components USD Million (2014-2019)
  • Table 41. Asia Pacific AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 42. China AI in Fintech, by Type USD Million (2014-2019)
  • Table 43. China AI in Fintech, by Application USD Million (2014-2019)
  • Table 44. China AI in Fintech, by Components USD Million (2014-2019)
  • Table 45. China AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 46. Japan AI in Fintech, by Type USD Million (2014-2019)
  • Table 47. Japan AI in Fintech, by Application USD Million (2014-2019)
  • Table 48. Japan AI in Fintech, by Components USD Million (2014-2019)
  • Table 49. Japan AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 50. India AI in Fintech, by Type USD Million (2014-2019)
  • Table 51. India AI in Fintech, by Application USD Million (2014-2019)
  • Table 52. India AI in Fintech, by Components USD Million (2014-2019)
  • Table 53. India AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 54. South Korea AI in Fintech, by Type USD Million (2014-2019)
  • Table 55. South Korea AI in Fintech, by Application USD Million (2014-2019)
  • Table 56. South Korea AI in Fintech, by Components USD Million (2014-2019)
  • Table 57. South Korea AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 58. Taiwan AI in Fintech, by Type USD Million (2014-2019)
  • Table 59. Taiwan AI in Fintech, by Application USD Million (2014-2019)
  • Table 60. Taiwan AI in Fintech, by Components USD Million (2014-2019)
  • Table 61. Taiwan AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 62. Australia AI in Fintech, by Type USD Million (2014-2019)
  • Table 63. Australia AI in Fintech, by Application USD Million (2014-2019)
  • Table 64. Australia AI in Fintech, by Components USD Million (2014-2019)
  • Table 65. Australia AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 66. Rest of Asia-Pacific AI in Fintech, by Type USD Million (2014-2019)
  • Table 67. Rest of Asia-Pacific AI in Fintech, by Application USD Million (2014-2019)
  • Table 68. Rest of Asia-Pacific AI in Fintech, by Components USD Million (2014-2019)
  • Table 69. Rest of Asia-Pacific AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 70. Europe AI in Fintech, by Country USD Million (2014-2019)
  • Table 71. Europe AI in Fintech, by Type USD Million (2014-2019)
  • Table 72. Europe AI in Fintech, by Application USD Million (2014-2019)
  • Table 73. Europe AI in Fintech, by Components USD Million (2014-2019)
  • Table 74. Europe AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 75. Germany AI in Fintech, by Type USD Million (2014-2019)
  • Table 76. Germany AI in Fintech, by Application USD Million (2014-2019)
  • Table 77. Germany AI in Fintech, by Components USD Million (2014-2019)
  • Table 78. Germany AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 79. France AI in Fintech, by Type USD Million (2014-2019)
  • Table 80. France AI in Fintech, by Application USD Million (2014-2019)
  • Table 81. France AI in Fintech, by Components USD Million (2014-2019)
  • Table 82. France AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 83. Italy AI in Fintech, by Type USD Million (2014-2019)
  • Table 84. Italy AI in Fintech, by Application USD Million (2014-2019)
  • Table 85. Italy AI in Fintech, by Components USD Million (2014-2019)
  • Table 86. Italy AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 87. United Kingdom AI in Fintech, by Type USD Million (2014-2019)
  • Table 88. United Kingdom AI in Fintech, by Application USD Million (2014-2019)
  • Table 89. United Kingdom AI in Fintech, by Components USD Million (2014-2019)
  • Table 90. United Kingdom AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 91. Netherlands AI in Fintech, by Type USD Million (2014-2019)
  • Table 92. Netherlands AI in Fintech, by Application USD Million (2014-2019)
  • Table 93. Netherlands AI in Fintech, by Components USD Million (2014-2019)
  • Table 94. Netherlands AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 95. Rest of Europe AI in Fintech, by Type USD Million (2014-2019)
  • Table 96. Rest of Europe AI in Fintech, by Application USD Million (2014-2019)
  • Table 97. Rest of Europe AI in Fintech, by Components USD Million (2014-2019)
  • Table 98. Rest of Europe AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 99. MEA AI in Fintech, by Country USD Million (2014-2019)
  • Table 100. MEA AI in Fintech, by Type USD Million (2014-2019)
  • Table 101. MEA AI in Fintech, by Application USD Million (2014-2019)
  • Table 102. MEA AI in Fintech, by Components USD Million (2014-2019)
  • Table 103. MEA AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 104. Middle East AI in Fintech, by Type USD Million (2014-2019)
  • Table 105. Middle East AI in Fintech, by Application USD Million (2014-2019)
  • Table 106. Middle East AI in Fintech, by Components USD Million (2014-2019)
  • Table 107. Middle East AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 108. Africa AI in Fintech, by Type USD Million (2014-2019)
  • Table 109. Africa AI in Fintech, by Application USD Million (2014-2019)
  • Table 110. Africa AI in Fintech, by Components USD Million (2014-2019)
  • Table 111. Africa AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 112. North America AI in Fintech, by Country USD Million (2014-2019)
  • Table 113. North America AI in Fintech, by Type USD Million (2014-2019)
  • Table 114. North America AI in Fintech, by Application USD Million (2014-2019)
  • Table 115. North America AI in Fintech, by Components USD Million (2014-2019)
  • Table 116. North America AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 117. United States AI in Fintech, by Type USD Million (2014-2019)
  • Table 118. United States AI in Fintech, by Application USD Million (2014-2019)
  • Table 119. United States AI in Fintech, by Components USD Million (2014-2019)
  • Table 120. United States AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 121. Canada AI in Fintech, by Type USD Million (2014-2019)
  • Table 122. Canada AI in Fintech, by Application USD Million (2014-2019)
  • Table 123. Canada AI in Fintech, by Components USD Million (2014-2019)
  • Table 124. Canada AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • Table 125. Mexico AI in Fintech, by Type USD Million (2014-2019)
  • Table 126. Mexico AI in Fintech, by Application USD Million (2014-2019)
  • Table 127. Mexico AI in Fintech, by Components USD Million (2014-2019)
  • Table 128. Mexico AI in Fintech, by Deployment Mode USD Million (2014-2019)
  • 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 Fintech: by Type(USD Million)
  • Table 140. AI in Fintech Software Tools , by Region USD Million (2020-2025)
  • Table 141. AI in Fintech Platforms , by Region USD Million (2020-2025)
  • Table 142. AI in Fintech Industry Segmentation , by Region USD Million (2020-2025)
  • Table 143. AI in Fintech Virtual Assistant , by Region USD Million (2020-2025)
  • Table 144. AI in Fintech Business Analytics and Reporting , by Region USD Million (2020-2025)
  • Table 145. AI in Fintech Customer Behavioral Analytics , by Region USD Million (2020-2025)
  • Table 146. AI in Fintech Others , by Region USD Million (2020-2025)
  • Table 147. AI in Fintech: by Application(USD Million)
  • Table 148. AI in Fintech Virtual Assistant (Chatbots) , by Region USD Million (2020-2025)
  • Table 149. AI in Fintech Business Analytics and Reporting , by Region USD Million (2020-2025)
  • Table 150. AI in Fintech Customer Behavioral Analytics , by Region USD Million (2020-2025)
  • Table 151. AI in Fintech Others (includes market research, advertising, and marketing campaign) , by Region USD Million (2020-2025)
  • Table 152. AI in Fintech: by Components(USD Million)
  • Table 153. AI in Fintech Solution , by Region USD Million (2020-2025)
  • Table 154. AI in Fintech Services , by Region USD Million (2020-2025)
  • Table 155. AI in Fintech: by Deployment Mode(USD Million)
  • Table 156. AI in Fintech Cloud , by Region USD Million (2020-2025)
  • Table 157. AI in Fintech On-premises , by Region USD Million (2020-2025)
  • Table 158. South America AI in Fintech, by Country USD Million (2020-2025)
  • Table 159. South America AI in Fintech, by Type USD Million (2020-2025)
  • Table 160. South America AI in Fintech, by Application USD Million (2020-2025)
  • Table 161. South America AI in Fintech, by Components USD Million (2020-2025)
  • Table 162. South America AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 163. Brazil AI in Fintech, by Type USD Million (2020-2025)
  • Table 164. Brazil AI in Fintech, by Application USD Million (2020-2025)
  • Table 165. Brazil AI in Fintech, by Components USD Million (2020-2025)
  • Table 166. Brazil AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 167. Argentina AI in Fintech, by Type USD Million (2020-2025)
  • Table 168. Argentina AI in Fintech, by Application USD Million (2020-2025)
  • Table 169. Argentina AI in Fintech, by Components USD Million (2020-2025)
  • Table 170. Argentina AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 171. Rest of South America AI in Fintech, by Type USD Million (2020-2025)
  • Table 172. Rest of South America AI in Fintech, by Application USD Million (2020-2025)
  • Table 173. Rest of South America AI in Fintech, by Components USD Million (2020-2025)
  • Table 174. Rest of South America AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 175. Asia Pacific AI in Fintech, by Country USD Million (2020-2025)
  • Table 176. Asia Pacific AI in Fintech, by Type USD Million (2020-2025)
  • Table 177. Asia Pacific AI in Fintech, by Application USD Million (2020-2025)
  • Table 178. Asia Pacific AI in Fintech, by Components USD Million (2020-2025)
  • Table 179. Asia Pacific AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 180. China AI in Fintech, by Type USD Million (2020-2025)
  • Table 181. China AI in Fintech, by Application USD Million (2020-2025)
  • Table 182. China AI in Fintech, by Components USD Million (2020-2025)
  • Table 183. China AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 184. Japan AI in Fintech, by Type USD Million (2020-2025)
  • Table 185. Japan AI in Fintech, by Application USD Million (2020-2025)
  • Table 186. Japan AI in Fintech, by Components USD Million (2020-2025)
  • Table 187. Japan AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 188. India AI in Fintech, by Type USD Million (2020-2025)
  • Table 189. India AI in Fintech, by Application USD Million (2020-2025)
  • Table 190. India AI in Fintech, by Components USD Million (2020-2025)
  • Table 191. India AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 192. South Korea AI in Fintech, by Type USD Million (2020-2025)
  • Table 193. South Korea AI in Fintech, by Application USD Million (2020-2025)
  • Table 194. South Korea AI in Fintech, by Components USD Million (2020-2025)
  • Table 195. South Korea AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 196. Taiwan AI in Fintech, by Type USD Million (2020-2025)
  • Table 197. Taiwan AI in Fintech, by Application USD Million (2020-2025)
  • Table 198. Taiwan AI in Fintech, by Components USD Million (2020-2025)
  • Table 199. Taiwan AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 200. Australia AI in Fintech, by Type USD Million (2020-2025)
  • Table 201. Australia AI in Fintech, by Application USD Million (2020-2025)
  • Table 202. Australia AI in Fintech, by Components USD Million (2020-2025)
  • Table 203. Australia AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 204. Rest of Asia-Pacific AI in Fintech, by Type USD Million (2020-2025)
  • Table 205. Rest of Asia-Pacific AI in Fintech, by Application USD Million (2020-2025)
  • Table 206. Rest of Asia-Pacific AI in Fintech, by Components USD Million (2020-2025)
  • Table 207. Rest of Asia-Pacific AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 208. Europe AI in Fintech, by Country USD Million (2020-2025)
  • Table 209. Europe AI in Fintech, by Type USD Million (2020-2025)
  • Table 210. Europe AI in Fintech, by Application USD Million (2020-2025)
  • Table 211. Europe AI in Fintech, by Components USD Million (2020-2025)
  • Table 212. Europe AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 213. Germany AI in Fintech, by Type USD Million (2020-2025)
  • Table 214. Germany AI in Fintech, by Application USD Million (2020-2025)
  • Table 215. Germany AI in Fintech, by Components USD Million (2020-2025)
  • Table 216. Germany AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 217. France AI in Fintech, by Type USD Million (2020-2025)
  • Table 218. France AI in Fintech, by Application USD Million (2020-2025)
  • Table 219. France AI in Fintech, by Components USD Million (2020-2025)
  • Table 220. France AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 221. Italy AI in Fintech, by Type USD Million (2020-2025)
  • Table 222. Italy AI in Fintech, by Application USD Million (2020-2025)
  • Table 223. Italy AI in Fintech, by Components USD Million (2020-2025)
  • Table 224. Italy AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 225. United Kingdom AI in Fintech, by Type USD Million (2020-2025)
  • Table 226. United Kingdom AI in Fintech, by Application USD Million (2020-2025)
  • Table 227. United Kingdom AI in Fintech, by Components USD Million (2020-2025)
  • Table 228. United Kingdom AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 229. Netherlands AI in Fintech, by Type USD Million (2020-2025)
  • Table 230. Netherlands AI in Fintech, by Application USD Million (2020-2025)
  • Table 231. Netherlands AI in Fintech, by Components USD Million (2020-2025)
  • Table 232. Netherlands AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 233. Rest of Europe AI in Fintech, by Type USD Million (2020-2025)
  • Table 234. Rest of Europe AI in Fintech, by Application USD Million (2020-2025)
  • Table 235. Rest of Europe AI in Fintech, by Components USD Million (2020-2025)
  • Table 236. Rest of Europe AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 237. MEA AI in Fintech, by Country USD Million (2020-2025)
  • Table 238. MEA AI in Fintech, by Type USD Million (2020-2025)
  • Table 239. MEA AI in Fintech, by Application USD Million (2020-2025)
  • Table 240. MEA AI in Fintech, by Components USD Million (2020-2025)
  • Table 241. MEA AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 242. Middle East AI in Fintech, by Type USD Million (2020-2025)
  • Table 243. Middle East AI in Fintech, by Application USD Million (2020-2025)
  • Table 244. Middle East AI in Fintech, by Components USD Million (2020-2025)
  • Table 245. Middle East AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 246. Africa AI in Fintech, by Type USD Million (2020-2025)
  • Table 247. Africa AI in Fintech, by Application USD Million (2020-2025)
  • Table 248. Africa AI in Fintech, by Components USD Million (2020-2025)
  • Table 249. Africa AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 250. North America AI in Fintech, by Country USD Million (2020-2025)
  • Table 251. North America AI in Fintech, by Type USD Million (2020-2025)
  • Table 252. North America AI in Fintech, by Application USD Million (2020-2025)
  • Table 253. North America AI in Fintech, by Components USD Million (2020-2025)
  • Table 254. North America AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 255. United States AI in Fintech, by Type USD Million (2020-2025)
  • Table 256. United States AI in Fintech, by Application USD Million (2020-2025)
  • Table 257. United States AI in Fintech, by Components USD Million (2020-2025)
  • Table 258. United States AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 259. Canada AI in Fintech, by Type USD Million (2020-2025)
  • Table 260. Canada AI in Fintech, by Application USD Million (2020-2025)
  • Table 261. Canada AI in Fintech, by Components USD Million (2020-2025)
  • Table 262. Canada AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • Table 263. Mexico AI in Fintech, by Type USD Million (2020-2025)
  • Table 264. Mexico AI in Fintech, by Application USD Million (2020-2025)
  • Table 265. Mexico AI in Fintech, by Components USD Million (2020-2025)
  • Table 266. Mexico AI in Fintech, by Deployment Mode USD Million (2020-2025)
  • 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 Fintech: by Type USD Million (2014-2019)
  • Figure 5. Global AI in Fintech: by Application USD Million (2014-2019)
  • Figure 6. Global AI in Fintech: by Components USD Million (2014-2019)
  • Figure 7. Global AI in Fintech: by Deployment Mode USD Million (2014-2019)
  • Figure 8. South America AI in Fintech Share (%), by Country
  • Figure 9. Asia Pacific AI in Fintech Share (%), by Country
  • Figure 10. Europe AI in Fintech Share (%), by Country
  • Figure 11. MEA AI in Fintech Share (%), by Country
  • Figure 12. North America AI in Fintech Share (%), by Country
  • Figure 13. Global AI in Fintech share by Players 2019 (%)
  • Figure 14. Global AI in Fintech share by Players (Top 3) 2019(%)
  • Figure 15. Global AI in Fintech share by Players (Top 5) 2019(%)
  • 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 2019
  • Figure 19. Google (United States) Revenue, Net Income and Gross profit
  • Figure 20. Google (United States) Revenue: by Geography 2019
  • Figure 21. Salesforce.com (United States) Revenue, Net Income and Gross profit
  • Figure 22. Salesforce.com (United States) Revenue: by Geography 2019
  • Figure 23. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 24. IBM (United States) Revenue: by Geography 2019
  • Figure 25. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 26. Intel (United States) Revenue: by Geography 2019
  • Figure 27. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 28. Amazon Web Services (United States) Revenue: by Geography 2019
  • Figure 29. Inbenta Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 30. Inbenta Technologies (United States) Revenue: by Geography 2019
  • Figure 31. IPsoft (United States) Revenue, Net Income and Gross profit
  • Figure 32. IPsoft (United States) Revenue: by Geography 2019
  • Figure 33. Nuance Communications (United States) Revenue, Net Income and Gross profit
  • Figure 34. Nuance Communications (United States) Revenue: by Geography 2019
  • Figure 35. ComplyAdvantage.com (United States) Revenue, Net Income and Gross profit
  • Figure 36. ComplyAdvantage.com (United States) Revenue: by Geography 2019
  • Figure 37. Global AI in Fintech: by Type USD Million (2020-2025)
  • Figure 38. Global AI in Fintech: by Application USD Million (2020-2025)
  • Figure 39. Global AI in Fintech: by Components USD Million (2020-2025)
  • Figure 40. Global AI in Fintech: by Deployment Mode USD Million (2020-2025)
  • Figure 41. South America AI in Fintech Share (%), by Country
  • Figure 42. Asia Pacific AI in Fintech Share (%), by Country
  • Figure 43. Europe AI in Fintech Share (%), by Country
  • Figure 44. MEA AI in Fintech Share (%), by Country
  • Figure 45. North America AI in Fintech Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Microsoft (United States)
  • Google (United States)
  • Salesforce.com (United States)
  • IBM (United States)
  • Intel (United States)
  • Amazon Web Services (United States)
  • Inbenta Technologies (United States)
  • IPsoft (United States)
  • Nuance Communications (United States)
  • ComplyAdvantage.com (United States)
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