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AI in Fintech Market Research Report - Global Industry Analysis and Growth Forecast to 2030

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    Report

  • 317 Pages
  • November 2021
  • Region: Global
  • Prescient & Strategic Intelligence Private Limited
  • ID: 5513440
The global AI in fintech market size is projected to increase to $46,881.9 million by 2030 from $7,702.7 million in 2020, at a 19.8% CAGR between 2020 and 2030. With AI, the efficiency of financial processes and the security of money-related data can be improved massively. For instance, in regard to fraud detection, AI monitors people’s online transactional behavior so that any deviation and a potential fraud can be identified in real time and stopped right there.


Moreover, AI helps in automating several processes in the banking, financial services, and insurance (BFSI) sector, such as online customer engagement via chatbots, claims processing, and answering frequently asked questions (FAQs). This not only allows BFSI companies to reduce their expenditure in hiring humans for these tasks but also engage these employees in more-important tasks, such as decision making and strategizing.

AI solutions have been in a higher demand than managed and professional services because the former conduct question and answer (Q&A) processing, natural language processing (NLP) and generation, facial recognition, video and image analysis, and speech recognition.

Cloud deployment has brought in more revenue for AI in fintech market players because when deployed on the cloud, AI understands the historical data and learns from it, offers suggestions, and analyzes the current trends.
AI solutions find the widest application in the fintech sector for quantitative and asset management, where they allow analysts to extract high volumes of data with ease.

Mobile payments are the key trend in the market as their increasing volume is encouraging online payment platforms to equip themselves with AI for better management, higher efficiency, and reduced fraud. The BFSI sector of North America, led by that of the U.S., is the largest user of AI solutions. This is ascribed to the presence of some of the largest IT and financial corporations, developed IT infrastructure, and rising penetration of advanced technologies.

After the initial hiccups during the COVID-19 pandemic, the BFSI sector has again started adopting AI solutions, primarily to manage and secure the rising volume of online transactions.
In the years to come, the AI in fintech market will witness the fastest growth in Asia-Pacific (APAC) on account of the economic prosperity and increasing investments in its IT sector. Moreover, the rapid digitization of the regional BFSI industry, apparent in the surging volume of online transactions, is driving the adoption of AI. Further, as part of their growth strategy, solution providers are targeting the untapped BFSI sector of APAC.

Amazon Web Services Inc., Microsoft Corporation, Intel Corporation, Oracle Corporation, Alphabet Inc., IBM Corporation, HCL Technologies Limited, SAS Institute Inc., Salesforce.com, Cognizant Technology Solutions Corporation, IPsoft Incorporated, and Capgemini SE are the major AI in fintech market players. Due to the presence of these and many more companies, the market is competitive and characterized by the high number of partnerships and collaborations.
Frequently Asked Questions about the AI in Fintech Market

What is the estimated value of the AI in Fintech Market?

The AI in Fintech Market was estimated to be valued at $7702.7 Million in 2020.

What is the growth rate of the AI in Fintech Market?

The growth rate of the AI in Fintech Market is 19.8%, with an estimated value of $46881.9 Million by 2030.

What is the forecasted size of the AI in Fintech Market?

The AI in Fintech Market is estimated to be worth $46881.9 Million by 2030.

Who are the key companies in the AI in Fintech Market?

Key companies in the AI in Fintech Market include Amazon.com Inc., Oracle Corporation, Intel Corporation, Alphabet Inc., Microsoft Corporation, International Business Machines (IBM) Corporation, SAS Institute Inc., IPsoft Incorporated and HCL Technologies Limited.

Table of Contents

Chapter 1. Research Background
1.1 Research Objectives
1.2 Market Definition
1.3 Analysis Period
1.4 Market Data Reporting Unit
1.4.1 Value
1.5 Market Size Breakdown by Segment
1.5.1 Market Segmentation by Component
1.5.2 Market Segmentation by Deployment
1.5.3 Market Segmentation by Application
1.5.4 Market Segmentation by Region
1.5.5 Market Segment Analysis of Countries
1.6 Key Stakeholders
Chapter 2. Research Methodology
2.1 Secondary Research
2.1.1 Paid
2.1.2 Unpaid
2.1.3 Publisher Intelligence Database
2.2 Primary Research
2.2.1 Breakdown of Primary Research, by Region
2.2.2 Breakdown of Primary Research, by Industry Participant
2.2.3 Breakdown of Primary Research, by Designation
2.2.4 Breakdown of Primary Research, by Company Type
2.3 Market Size Estimation
2.4 Data Triangulation
2.5 Currency Conversion Rates
2.6 Assumptions For the Study
2.7 Notes & Caveats
Chapter 3. Executive SummaryChapter 4. Voice of Industry Experts/Kols
Chapter 5. Market Indicators
5.1 Internet Penetration
5.2 Adoption of Ai In Major Markets
Chapter 6. Definition of Market Segments
6.1 By Component
6.1.1 Solutions
6.1.1.1 Software Tools
6.1.1.2 Platforms
6.1.2 Services
6.1.2.1 Managed
6.1.2.2 Professional
6.2 By Deployment
6.2.1 Cloud
6.2.2 On-Premises
6.3 By Application
6.3.1 Credit Scoring
6.3.2 Fraud Detection
6.3.3 Chatbots
6.3.4 Quantitative and Asset Management
6.3.5 Others
Chapter 7. Industry Outlook
7.1 Market Dynamics
7.1.1 Trends
7.1.1.1 Hyper-Personalization Via Big Data and Ai
7.1.1.2 Mobile Payment Innovations
7.1.2 Drivers
7.1.2.1 Companies Focusing On Cost-Cutting and Efficiency Improvements
7.1.2.2 Increasing Demand For Process Automation Among Financial Organizations
7.1.2.3 New Technological Advancements
7.1.3 Impact Analysis of Drivers On Market Forecast
7.1.4 Restraints
7.1.4.1 Lack of Qualified Ai Professionals
7.1.4.2 High Cost of Ai-Based Solutions
7.1.5 Impact Analysis of Restraints On Market Forecast
7.2 Impact of COVID-19
7.3 Value Chain Analysis
7.4 Porter’s Five Forces Analysis
7.4.1 Bargaining Power of Buyers
7.4.2 Bargaining Power of Suppliers
7.4.3 Intensity of Rivalry
7.4.4 Threat of New Entrants
7.4.5 Threat of Substitutes
Chapter 8. Global Market Size and Forecast
8.1 Overview
8.2 By Component (2015-2030)
8.2.1 Solutions Market, by Type (2015-2030)
8.2.2 Services Market, by Type (2015-2030)
8.3 By Deployment (2015-2030)
8.4 By Application (2015-2030)
8.5 By Region (2015-2030)
Chapter 9. North America Market Size and Forecast
9.1 Overview
9.2 By Component (2015-2030)
9.2.1 Solutions Market, by Type (2015-2030)
9.2.2 Services Market, by Type (2015-2030)
9.3 By Deployment (2015-2030)
9.4 By Application (2015-2030)
9.5 By Country (2015-2030)
Chapter 10. Europe Market Size and Forecast
10.1 Overview
10.2 By Component (2015-2030)
10.2.1 Solutions Market, by Type (2015-2030)
10.2.2 Services Market, by Type (2015-2030)
10.3 By Deployment (2015-2030)
10.4 By Application (2015-2030)
10.5 By Country (2015-2030)
Chapter 11. Apac Market Size and Forecast
11.1 Overview
11.2 By Component (2015-2030)
11.2.1 Solutions Market, by Type (2015-2030)
11.2.2 Services Market, by Type (2015-2030)
11.3 By Deployment (2015-2030)
11.4 By Application (2015-2030)
11.5 By Country (2015-2030)
Chapter 12. Latam Market Size and Forecast
12.1 Overview
12.2 By Component (2015-2030)
12.2.1 Solutions Market, by Type (2015-2030)
12.2.2 Services Market, by Type (2015-2030)
12.3 By Deployment (2015-2030)
12.4 By Application (2015-2030)
12.5 By Country (2015-2030)
Chapter 13. Mea Market Size and Forecast
13.1 Overview
13.2 By Component (2015-2030)
13.2.1 Solutions Market, by Type (2015-2030)
13.2.2 Services Market, by Type (2015-2030)
13.3 By Deployment (2015-2030)
13.4 By Application (2015-2030)
13.5 By Country (2015-2030)
Chapter 14. U.S. Market Size and Forecast
14.1 By Component (2015-2030)
14.1.1 Solutions Market, by Type (2015-2030)
14.1.2 Services Market, by Type (2015-2030)
14.2 By Deployment (2015-2030)
14.3 By Application (2015-2030)
Chapter 15. Canada Market Size and Forecast
15.1 By Component (2015-2030)
15.1.1 Solutions Market, by Type (2015-2030)
15.1.2 Services Market, by Type (2015-2030)
15.2 By Deployment (2015-2030)
15.3 By Application (2015-2030)
Chapter 16. U.K. Market Size and Forecast
16.1 By Component (2015-2030)
16.1.1 Solutions Market, by Type (2015-2030)
16.1.2 Services Market, by Type (2015-2030)
16.2 By Deployment (2015-2030)
16.3 By Application (2015-2030)
Chapter 17. Germany Market Size and Forecast
17.1 By Component (2015-2030)
17.1.1 Solutions Market, by Type (2015-2030)
17.1.2 Services Market, by Type (2015-2030)
17.2 By Deployment (2015-2030)
17.3 By Application (2015-2030)
Chapter 18. France Market Size and Forecast
18.1 By Component (2015-2030)
18.1.1 Solutions Market, by Type (2015-2030)
18.1.2 Services Market, by Type (2015-2030)
18.2 By Deployment (2015-2030)
18.3 By Application (2015-2030)
Chapter 19. Italy Market Size and Forecast
19.1 By Component (2015-2030)
19.1.1 Solutions Market, by Type (2015-2030)
19.1.2 Services Market, by Type (2015-2030)
19.2 By Deployment (2015-2030)
19.3 By Application (2015-2030)
Chapter 20. Spain Market Size and Forecast
20.1 By Component (2015-2030)
20.1.1 Solutions Market, by Type (2015-2030)
20.1.2 Services Market, by Type (2015-2030)
20.2 By Deployment (2015-2030)
20.3 By Application (2015-2030)
Chapter 21. China Market Size and Forecast
21.1 By Component (2015-2030)
21.1.1 Solutions Market, by Type (2015-2030)
21.1.2 Services Market, by Type (2015-2030)
21.2 By Deployment (2015-2030)
21.3 By Application (2015-2030)
Chapter 22. India Market Size and Forecast
22.1 By Component (2015-2030)
22.1.1 Solutions Market, by Type (2015-2030)
22.1.2 Services Market, by Type (2015-2030)
22.2 By Deployment (2015-2030)
22.3 By Application (2015-2030)
Chapter 23. Japan Market Size and Forecast
23.1 By Component (2015-2030)
23.1.1 Solutions Market, by Type (2015-2030)
23.1.2 Services Market, by Type (2015-2030)
23.2 By Deployment (2015-2030)
23.3 By Application (2015-2030)
Chapter 24. South Korea Market Size and Forecast
24.1 By Component (2015-2030)
24.1.1 Solutions Market, by Type (2015-2030)
24.1.2 Services Market, by Type (2015-2030)
24.2 By Deployment (2015-2030)
24.3 By Application (2015-2030)
Chapter 25. Australia Market Size and Forecast
25.1 By Component (2015-2030)
25.1.1 Solutions Market, by Type (2015-2030)
25.1.2 Services Market, by Type (2015-2030)
25.2 By Deployment (2015-2030)
25.3 By Application (2015-2030)
Chapter 26. Brazil Market Size and Forecast
26.1 By Component (2015-2030)
26.1.1 Solutions Market, by Type (2015-2030)
26.1.2 Services Market, by Type (2015-2030)
26.2 By Deployment (2015-2030)
26.3 Market Revenue, by Application (2015-2030)
Chapter 27. Mexico Market Size and Forecast
27.1 By Component (2015-2030)
27.1.1 Solutions Market, by Type (2015-2030)
27.1.2 Services Market, by Type (2015-2030)
27.2 By Deployment (2015-2030)
27.3 By Application (2015-2030)
Chapter 28. Israel Market Size and Forecast
28.1 By Component (2015-2030)
28.1.1 Solutions Market, by Type (2015-2030)
28.1.2 Services Market, by Type (2015-2030)
28.2 By Deployment (2015-2030)
28.3 By Application (2015-2030)
Chapter 29. U.A.E. Market Size and Forecast
29.1 By Component (2015-2030)
29.1.1 Solutions Market, by Type (2015-2030)
29.1.2 Services Market, by Type (2015-2030)
29.2 By Deployment (2015-2030)
29.3 By Application (2015-2030)
Chapter 30. South Africa Market Size and Forecast
30.1 By Component (2015-2030)
30.1.1 Solutions Market, by Type (2015-2030)
30.1.2 Services Market, by Type (2015-2030)
30.2 By Deployment (2015-2030)
30.3 By Application (2015-2030)
Chapter 31. Competitive Landscape
31.1 List of Market Players and Their Offerings
31.2 Market Share Analysis of Key Players
31.3 Competitive Analysis of Key Players
31.4 Recent Strategic Developments of Player/Key Players
31.4.1 Product Launches and Approvals
31.4.2 Partnerships
31.4.3 Mergers and Acquisitions
31.4.4 Other Developments
Chapter 32. Company Profiles
32.1 Amazon.Com Inc.
32.1.1 Business Overview
32.1.2 Product and Service Offerings
32.1.3 Key Financial Summary
32.2 Oracle Corporation
32.2.1 Business Overview
32.2.2 Product and Service Offerings
32.2.3 Key Financial Summary
32.3 Intel Corporation
32.3.1 Business Overview
32.3.2 Product and Service Offerings
32.3.3 Key Financial Summary
32.4 Alphabet Inc.
32.4.1 Business Overview
32.4.2 Product and Service Offerings
32.4.3 Key Financial Summary
32.5 Microsoft Corporation
32.5.1 Business Overview
32.5.2 Product and Service Offerings
32.5.3 Key Financial Summary
32.6 International Business Machines (Ibm) Corporation
32.6.1 Business Overview
32.6.2 Product and Service Offerings
32.6.3 Key Financial Summary
32.7 Sas Institute Inc.
32.7.1 Business Overview
32.7.2 Product and Service Offerings
32.7.3 Key Financial Summary
32.8 Ipsoft Incorporated
32.8.1 Business Overview
32.8.2 Product and Service Type
32.9 Genesys Telecommunications Laboratories Inc.
32.9.1 Business Overview
32.9.2 Product and Service Offerings
32.10 Hcl Technologies Limited
32.10.1 Business Overview
32.10.2 Product and Service Offerings
32.10.3 Key Financial Summary
Chapter 33. Appendix
33.1 Abbreviations
33.2 Sources and References
33.3 Related Reports

Companies Mentioned

  • Amazon.com Inc.
  • Oracle Corporation
  • Intel Corporation
  • Alphabet Inc.
  • Microsoft Corporation
  • International Business Machines (IBM) Corporation
  • SAS Institute Inc.
  • IPsoft Incorporated
  • Genesys Telecommunications Laboratories Inc.
  • HCL Technologies Limited

Methodology

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