Abstract
Summary
AI in FinTech is used for a wide array of purposes, such as lending decision making, customer support, fraud detection, credit risk assessment, insurance, wealth management, and others. FinTech companies adopt AI for enhanced efficiency, improvised precision levels, and high-speed query resolution. Moreover, AI in FinTech drives innovation, leading to personalized, fast, and secure services with higher customer satisfaction and global reach.
AI in FinTech provides improved customer services, as AI-powered Fintech can minimize the workload placed on financial institutions as they tackle the most typical and frequent user problems. In addition, many AI powered banking apps offer personalized financial advice to help users achieve their financial goals and track their income and expenses. Furthermore, AI in FinTech helps in fraud detection, which is one of the major problems the finance industry faces nowadays. Therefore, these are some of the factors propelling the market growth. However, AI in FinTech solutions are often built to serve the needs of many consumers and not with inclusivity and diversity in mind. AI systems are vulnerable to biases in their treatment of disabled people. In addition, AI in FinTech is highly unregulated. Therefore, these are some major factors limiting the growth of AI in FinTech market. On the contrary, AI is recognized as being more powerful than the traditional data analytics capabilities of financial institutions. Moreover, advances in technology and adoption of artificial intelligence in the banking sector is expected to provide lucrative growth opportunities for the AI in FinTech market in the coming years.
The AI in FinTech market is segmented on the basis of component, deployment mode, application, and region. By component, it is segmented into solution and services. The solution segment is further bifurcated into software tools and platforms. The software tools segment is further divided into data discovery, data quality & data governance, and data visualization. The services segment is further divided into managed services and professional services. By deployment mode, it is bifurcated into on-premises and cloud. Based on application, it is segregated into virtual assistants (chatbots), business analytics and reporting, customer behavioral analytics, and others. By region, it is analyzed across Asia-Pacific, Europe, North America, and LAMEA.
The report analyzes the profiles of key players operating in the AI in FinTech market, such as Amazon Web Services, Inc., Cisco Systems, Inc., ComplyAdvantage, Cognizant, Capgemini, FICO, Google, Hewlett Packard Enterprise Development LP, HCL Technologies Limited, IBM, Intel Corporation, Inbenta Holdings Inc., Microsoft, Oracle, Saleforce, Inc., SAP SE, and TIBCO Software, Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the AI in FinTech industry.
Key Benefits For Stakeholders
●This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the ai in fintech market analysis from 2021 to 2031 to identify the prevailing ai in fintech market opportunities.
●The market research is offered along with information related to key drivers, restraints, and opportunities.
●Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
●In-depth analysis of the ai in fintech market segmentation assists to determine the prevailing market opportunities.
●Major countries in each region are mapped according to their revenue contribution to the global market.
●Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
●The report includes the analysis of the regional as well as global ai in fintech market trends, key players, market segments, application areas, and market growth strategies.
Additional benefits you will get with this purchase are:
● Quarterly Update and* (only available with a corporate license, on listed price)
● 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
● Free Upcoming Version on the Purchase of Five and Enterprise User License.
● 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
● 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
● Free data Pack on the Five and Enterprise User License. (Excel version of the report)
● Free Updated report if the report is 6-12 months old or older.
● 24-hour priority response*
● Free Industry updates and white papers.
Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)
● Investment Opportunities
● Market share analysis of players by products/segments
● Regulatory Guidelines
● Additional company profiles with specific to client's interest
● Additional country or region analysis- market size and forecast
● Market share analysis of players at global/region/country level
● SWOT Analysis
Key Market Segments
By Component
● Solution
● Services
By Deployment Mode
● On-premise
● Cloud
By Application
● Customer Behavioral Analytics
● Others
● Virtual Assistants (Chatbots)
● Business Analytics and Reporting
By Region
● North America
○ U.S.
○ Canada
● Europe
○ United Kingdom
○ Germany
○ France
○ Spain
○ Russia
○ Netherlands
○ Rest of Europe
● Asia-Pacific
○ China
○ India
○ Japan
○ Australia
○ Singapore
○ Rest of Asia-Pacific
● LAMEA
○ Latin America
○ Middle East
○ Africa
● Key Market Players
○ Cisco Systems, Inc.
○ Cognizant
○ FiCO
○ Hewlett Packard Enterprise Development LP
○ IBM
○ Microsoft
○ TIBCO Software, Inc.
○ SAP SE
○ Amazon Web Services, Inc.
○ Capgemini
○ Inbenta Holdings Inc.
○ ComplyAdvantage
○ Google
○ HCL Technologies Limited
○ Oracle Corporation
○ Saleforce, Inc.
○ Intel Corporation
Table of Contents
1 INTRODUCTION
1.1 Report description
1.2 Key market segments
1.3 Key benefits to the stakeholders
1.4 Research methodology
1.4.1 Primary research
1.4.2 Secondary research
1.4.3 Analyst tools and models
2 EXECUTIVE SUMMARY
2.1 CXO Perspective
3 MARKET OVERVIEW
3.1 Market definition and scope
3.2 Key findings
3.2.1 Top impacting factors
3.2.2 Top investment pockets
3.3 Porter’s five forces analysis
3.3.1 Low bargaining power of suppliers
3.3.2 Low threat of new entrants
3.3.3 Low threat of substitutes
3.3.4 Low intensity of rivalry
3.3.5 Low bargaining power of buyers
3.4 Market dynamics
3.4.1 Drivers
- 3.4.1.1 AI in FinTech provides improved customer services
- 3.4.1.2 AI in FinTech offer personalized financial advice to help users achieve their financial goals
- 3.4.1.3 AI in Fintech helps in fraud detection
3.4.2 Restraints
- 3.4.2.1 AI in FinTech is exclusive
- 3.4.2.2 AI in FinTech is unregulated
3.4.3 Opportunities
- 3.4.3.1 AI is recognized as being more powerful than the traditional data analytics capabilities of financial institutions
4 AI IN FINTECH MARKET, BY COMPONENT
4.1 Overview
4.1.1 Market size and forecast
4.2 Solution
4.2.1 Key market trends, growth factors and opportunities
4.2.2 Market size and forecast, by region
4.2.3 Market share analysis by country
4.3 Services
4.3.1 Key market trends, growth factors and opportunities
4.3.2 Market size and forecast, by region
4.3.3 Market share analysis by country
5 AI IN FINTECH MARKET, BY DEPLOYMENT MODE
5.1 Overview
5.1.1 Market size and forecast
5.2 On-premise
5.2.1 Key market trends, growth factors and opportunities
5.2.2 Market size and forecast, by region
5.2.3 Market share analysis by country
5.3 Cloud
5.3.1 Key market trends, growth factors and opportunities
5.3.2 Market size and forecast, by region
5.3.3 Market share analysis by country
6 AI IN FINTECH MARKET, BY APPLICATION
6.1 Overview
6.1.1 Market size and forecast
6.2 Virtual Assistants (Chatbots)
6.2.1 Key market trends, growth factors and opportunities
6.2.2 Market size and forecast, by region
6.2.3 Market share analysis by country
6.3 Business Analytics and Reporting
6.3.1 Key market trends, growth factors and opportunities
6.3.2 Market size and forecast, by region
6.3.3 Market share analysis by country
6.4 Customer Behavioral Analytics
6.4.1 Key market trends, growth factors and opportunities
6.4.2 Market size and forecast, by region
6.4.3 Market share analysis by country
6.5 Others
6.5.1 Key market trends, growth factors and opportunities
6.5.2 Market size and forecast, by region
6.5.3 Market share analysis by country
7 AI IN FINTECH MARKET, BY REGION
7.1 Overview
7.1.1 Market size and forecast By Region
7.2 North America
7.2.1 Key market trends, growth factors and opportunities
7.2.2 Market size and forecast, by Component
7.2.3 Market size and forecast, by Deployment Mode
7.2.4 Market size and forecast, by Application
7.2.5 Market size and forecast, by country
- 7.2.5.1 U.S
- 7.2.5.1.1 Market size and forecast, by Component
- 7.2.5.1.2 Market size and forecast, by Deployment Mode
- 7.2.5.1.3 Market size and forecast, by Application
- 7.2.5.2 Canada
- 7.2.5.2.1 Market size and forecast, by Component
- 7.2.5.2.2 Market size and forecast, by Deployment Mode
- 7.2.5.2.3 Market size and forecast, by Application
- 7.2.5.1 U.S
7.3 Europe
7.3.1 Key market trends, growth factors and opportunities
7.3.2 Market size and forecast, by Component
7.3.3 Market size and forecast, by Deployment Mode
7.3.4 Market size and forecast, by Application
7.3.5 Market size and forecast, by country
- 7.3.5.1 United Kingdom
- 7.3.5.1.1 Market size and forecast, by Component
- 7.3.5.1.2 Market size and forecast, by Deployment Mode
- 7.3.5.1.3 Market size and forecast, by Application
- 7.3.5.2 Germany
- 7.3.5.2.1 Market size and forecast, by Component
- 7.3.5.2.2 Market size and forecast, by Deployment Mode
- 7.3.5.2.3 Market size and forecast, by Application
- 7.3.5.3 France
- 7.3.5.3.1 Market size and forecast, by Component
- 7.3.5.3.2 Market size and forecast, by Deployment Mode
- 7.3.5.3.3 Market size and forecast, by Application
- 7.3.5.4 Spain
- 7.3.5.4.1 Market size and forecast, by Component
- 7.3.5.4.2 Market size and forecast, by Deployment Mode
- 7.3.5.4.3 Market size and forecast, by Application
- 7.3.5.5 Russia
- 7.3.5.5.1 Market size and forecast, by Component
- 7.3.5.5.2 Market size and forecast, by Deployment Mode
- 7.3.5.5.3 Market size and forecast, by Application
- 7.3.5.6 Netherlands
- 7.3.5.6.1 Market size and forecast, by Component
- 7.3.5.6.2 Market size and forecast, by Deployment Mode
- 7.3.5.6.3 Market size and forecast, by Application
- 7.3.5.7 Rest of Europe
- 7.3.5.7.1 Market size and forecast, by Component
- 7.3.5.7.2 Market size and forecast, by Deployment Mode
- 7.3.5.7.3 Market size and forecast, by Application
- 7.3.5.1 United Kingdom
7.4 Asia-Pacific
7.4.1 Key market trends, growth factors and opportunities
7.4.2 Market size and forecast, by Component
7.4.3 Market size and forecast, by Deployment Mode
7.4.4 Market size and forecast, by Application
7.4.5 Market size and forecast, by country
- 7.4.5.1 China
- 7.4.5.1.1 Market size and forecast, by Component
- 7.4.5.1.2 Market size and forecast, by Deployment Mode
- 7.4.5.1.3 Market size and forecast, by Application
- 7.4.5.2 India
- 7.4.5.2.1 Market size and forecast, by Component
- 7.4.5.2.2 Market size and forecast, by Deployment Mode
- 7.4.5.2.3 Market size and forecast, by Application
- 7.4.5.3 Japan
- 7.4.5.3.1 Market size and forecast, by Component
- 7.4.5.3.2 Market size and forecast, by Deployment Mode
- 7.4.5.3.3 Market size and forecast, by Application
- 7.4.5.4 Australia
- 7.4.5.4.1 Market size and forecast, by Component
- 7.4.5.4.2 Market size and forecast, by Deployment Mode
- 7.4.5.4.3 Market size and forecast, by Application
- 7.4.5.5 Singapore
- 7.4.5.5.1 Market size and forecast, by Component
- 7.4.5.5.2 Market size and forecast, by Deployment Mode
- 7.4.5.5.3 Market size and forecast, by Application
- 7.4.5.6 Rest of Asia-Pacific
- 7.4.5.6.1 Market size and forecast, by Component
- 7.4.5.6.2 Market size and forecast, by Deployment Mode
- 7.4.5.6.3 Market size and forecast, by Application
- 7.4.5.1 China
7.5 LAMEA
7.5.1 Key market trends, growth factors and opportunities
7.5.2 Market size and forecast, by Component
7.5.3 Market size and forecast, by Deployment Mode
7.5.4 Market size and forecast, by Application
7.5.5 Market size and forecast, by country
- 7.5.5.1 Latin America
- 7.5.5.1.1 Market size and forecast, by Component
- 7.5.5.1.2 Market size and forecast, by Deployment Mode
- 7.5.5.1.3 Market size and forecast, by Application
- 7.5.5.2 Middle East
- 7.5.5.2.1 Market size and forecast, by Component
- 7.5.5.2.2 Market size and forecast, by Deployment Mode
- 7.5.5.2.3 Market size and forecast, by Application
- 7.5.5.3 Africa
- 7.5.5.3.1 Market size and forecast, by Component
- 7.5.5.3.2 Market size and forecast, by Deployment Mode
- 7.5.5.3.3 Market size and forecast, by Application
- 7.5.5.1 Latin America
8 COMPETITIVE LANDSCAPE
8.1 Introduction
8.2 Top winning strategies
8.3 Product mapping of top 10 player
8.4 Competitive dashboard
8.5 Competitive heatmap
8.6 Top player positioning, 2021
9 COMPANY PROFILES
9.1 Amazon Web Services, Inc
9.1.1 Company overview
9.1.2 Key executives
9.1.3 Company snapshot
9.1.4 Operating business segments
9.1.5 Product portfolio
9.1.6 Business performance
9.1.7 Key strategic moves and developments
9.2 Cisco Systems, Inc
9.2.1 Company overview
9.2.2 Key executives
9.2.3 Company snapshot
9.2.4 Operating business segments
9.2.5 Product portfolio
9.2.6 Business performance
9.2.7 Key strategic moves and developments
9.3 ComplyAdvantage
9.3.1 Company overview
9.3.2 Key executives
9.3.3 Company snapshot
9.3.4 Operating business segments
9.3.5 Product portfolio
9.3.6 Key strategic moves and developments
9.4 Cognizant
9.4.1 Company overview
9.4.2 Key executives
9.4.3 Company snapshot
9.4.4 Operating business segments
9.4.5 Product portfolio
9.4.6 Business performance
9.5 Capgemini
9.5.1 Company overview
9.5.2 Key executives
9.5.3 Company snapshot
9.5.4 Operating business segments
9.5.5 Product portfolio
9.5.6 Business performance
9.6 FiCO
9.6.1 Company overview
9.6.2 Key executives
9.6.3 Company snapshot
9.6.4 Operating business segments
9.6.5 Product portfolio
9.7 Google
9.7.1 Company overview
9.7.2 Key executives
9.7.3 Company snapshot
9.7.4 Operating business segments
9.7.5 Product portfolio
9.7.6 Business performance
9.7.7 Key strategic moves and developments
9.8 Hewlett Packard Enterprise Development LP
9.8.1 Company overview
9.8.2 Key executives
9.8.3 Company snapshot
9.8.4 Operating business segments
9.8.5 Product portfolio
9.8.6 Business performance
9.8.7 Key strategic moves and developments
9.9 HCL Technologies Limited
9.9.1 Company overview
9.9.2 Key executives
9.9.3 Company snapshot
9.9.4 Operating business segments
9.9.5 Product portfolio
9.9.6 Business performance
9.10 IBM
9.10.1 Company overview
9.10.2 Key executives
9.10.3 Company snapshot
9.10.4 Operating business segments
9.10.5 Product portfolio
9.10.6 Business performance
9.10.7 Key strategic moves and developments
9.11 Intel Corporation
9.11.1 Company overview
9.11.2 Key executives
9.11.3 Company snapshot
9.11.4 Operating business segments
9.11.5 Product portfolio
9.11.6 Business performance
9.11.7 Key strategic moves and developments
9.12 Inbenta Holdings Inc
9.12.1 Company overview
9.12.2 Key executives
9.12.3 Company snapshot
9.12.4 Operating business segments
9.12.5 Product portfolio
9.13 Microsoft
9.13.1 Company overview
9.13.2 Key executives
9.13.3 Company snapshot
9.13.4 Operating business segments
9.13.5 Product portfolio
9.13.6 Business performance
9.13.7 Key strategic moves and developments
9.14 Oracle Corporation
9.14.1 Company overview
9.14.2 Key executives
9.14.3 Company snapshot
9.14.4 Operating business segments
9.14.5 Product portfolio
9.14.6 Business performance
9.15 Saleforce, Inc
9.15.1 Company overview
9.15.2 Key executives
9.15.3 Company snapshot
9.15.4 Operating business segments
9.15.5 Product portfolio
9.16 SAP SE
9.16.1 Company overview
9.16.2 Key executives
9.16.3 Company snapshot
9.16.4 Operating business segments
9.16.5 Product portfolio
9.16.6 Business performance
9.16.7 Key strategic moves and developments
9.17 TIBCO Software, Inc
9.17.1 Company overview
9.17.2 Key executives
9.17.3 Company snapshot
9.17.4 Operating business segments
9.17.5 Product portfolio