AI in Fintech Market By Component, By Deployment Mode, By Application (Virtual Assistants, Business Analytics and Reporting, Customer Behavioral Analytics, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031

Description

List of Tables

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.

Key Market Segments

By Component

Solution
Services

By Deployment Mode

On-premise
Cloud

By Application

Others
Virtual Assistants (Chatbots)
Business Analytics and Reporting
Customer Behavioral Analytics

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
- 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
- TIBCO Software, Inc.

Product Code: A16644

CHAPTER 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.Secondary research
- 1.4.2.Primary research
- 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.Key findings of the study
2.2.CXO Perspective

CHAPTER 3:MARKET OVERVIEW

3.1.Market definition and scope
3.2.Key findings
- 3.2.1.Top investment pockets
3.3.Porter's five forces analysis
3.4.Top player positioning
3.5.Market dynamics
- 3.5.1.Drivers
- 3.5.2.Restraints
- 3.5.3.Opportunities
3.6.COVID-19 Impact Analysis on the market

CHAPTER 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 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 analysis by country

CHAPTER 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 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 analysis by country

CHAPTER 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 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 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 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 analysis by country

CHAPTER 7: AI IN FINTECH MARKET, BY REGION

7.1 Overview
- 7.1.1 Market size and forecast
7.2 North America
- 7.2.1 Key trends and opportunities
- 7.2.2 North America Market size and forecast, by Component
- 7.2.3 North America Market size and forecast, by Deployment Mode
- 7.2.4 North America Market size and forecast, by Application
- 7.2.5 North America 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
7.3 Europe
- 7.3.1 Key trends and opportunities
- 7.3.2 Europe Market size and forecast, by Component
- 7.3.3 Europe Market size and forecast, by Deployment Mode
- 7.3.4 Europe Market size and forecast, by Application
- 7.3.5 Europe 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
7.4 Asia-Pacific
- 7.4.1 Key trends and opportunities
- 7.4.2 Asia-Pacific Market size and forecast, by Component
- 7.4.3 Asia-Pacific Market size and forecast, by Deployment Mode
- 7.4.4 Asia-Pacific Market size and forecast, by Application
- 7.4.5 Asia-Pacific 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
7.5 LAMEA
- 7.5.1 Key trends and opportunities
- 7.5.2 LAMEA Market size and forecast, by Component
- 7.5.3 LAMEA Market size and forecast, by Deployment Mode
- 7.5.4 LAMEA Market size and forecast, by Application
- 7.5.5 LAMEA 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

CHAPTER 8: COMPANY 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. Key developments

CHAPTER 9: COMPANY PROFILES

9.1 Amazon Web Services, Inc.
- 9.1.1 Company overview
- 9.1.2 Company snapshot
- 9.1.3 Operating business segments
- 9.1.4 Product portfolio
- 9.1.5 Business performance
- 9.1.6 Key strategic moves and developments
9.2 Cisco Systems, Inc.
- 9.2.1 Company overview
- 9.2.2 Company snapshot
- 9.2.3 Operating business segments
- 9.2.4 Product portfolio
- 9.2.5 Business performance
- 9.2.6 Key strategic moves and developments
9.3 ComplyAdvantage
- 9.3.1 Company overview
- 9.3.2 Company snapshot
- 9.3.3 Operating business segments
- 9.3.4 Product portfolio
- 9.3.5 Business performance
- 9.3.6 Key strategic moves and developments
9.4 Cognizant
- 9.4.1 Company overview
- 9.4.2 Company snapshot
- 9.4.3 Operating business segments
- 9.4.4 Product portfolio
- 9.4.5 Business performance
- 9.4.6 Key strategic moves and developments
9.5 Capgemini
- 9.5.1 Company overview
- 9.5.2 Company snapshot
- 9.5.3 Operating business segments
- 9.5.4 Product portfolio
- 9.5.5 Business performance
- 9.5.6 Key strategic moves and developments
9.6 FICO
- 9.6.1 Company overview
- 9.6.2 Company snapshot
- 9.6.3 Operating business segments
- 9.6.4 Product portfolio
- 9.6.5 Business performance
- 9.6.6 Key strategic moves and developments
9.7 Google
- 9.7.1 Company overview
- 9.7.2 Company snapshot
- 9.7.3 Operating business segments
- 9.7.4 Product portfolio
- 9.7.5 Business performance
- 9.7.6 Key strategic moves and developments
9.8 Hewlett Packard Enterprise Development LP
- 9.8.1 Company overview
- 9.8.2 Company snapshot
- 9.8.3 Operating business segments
- 9.8.4 Product portfolio
- 9.8.5 Business performance
- 9.8.6 Key strategic moves and developments
9.9 HCL Technologies Limited
- 9.9.1 Company overview
- 9.9.2 Company snapshot
- 9.9.3 Operating business segments
- 9.9.4 Product portfolio
- 9.9.5 Business performance
- 9.9.6 Key strategic moves and developments
9.10 IBM
- 9.10.1 Company overview
- 9.10.2 Company snapshot
- 9.10.3 Operating business segments
- 9.10.4 Product portfolio
- 9.10.5 Business performance
- 9.10.6 Key strategic moves and developments
9.11 Intel Corporation
- 9.11.1 Company overview
- 9.11.2 Company snapshot
- 9.11.3 Operating business segments
- 9.11.4 Product portfolio
- 9.11.5 Business performance
- 9.11.6 Key strategic moves and developments
9.12 Inbenta Holdings Inc.
- 9.12.1 Company overview
- 9.12.2 Company snapshot
- 9.12.3 Operating business segments
- 9.12.4 Product portfolio
- 9.12.5 Business performance
- 9.12.6 Key strategic moves and developments
9.13 Microsoft
- 9.13.1 Company overview
- 9.13.2 Company snapshot
- 9.13.3 Operating business segments
- 9.13.4 Product portfolio
- 9.13.5 Business performance
- 9.13.6 Key strategic moves and developments
9.14 Oracle
- 9.14.1 Company overview
- 9.14.2 Company snapshot
- 9.14.3 Operating business segments
- 9.14.4 Product portfolio
- 9.14.5 Business performance
- 9.14.6 Key strategic moves and developments
9.15 Saleforce, Inc.
- 9.15.1 Company overview
- 9.15.2 Company snapshot
- 9.15.3 Operating business segments
- 9.15.4 Product portfolio
- 9.15.5 Business performance
- 9.15.6 Key strategic moves and developments
9.16 SAP SE
- 9.16.1 Company overview
- 9.16.2 Company snapshot
- 9.16.3 Operating business segments
- 9.16.4 Product portfolio
- 9.16.5 Business performance
- 9.16.6 Key strategic moves and developments
9.17 TIBCO Software, Inc.
- 9.17.1 Company overview
- 9.17.2 Company snapshot
- 9.17.3 Operating business segments
- 9.17.4 Product portfolio
- 9.17.5 Business performance
- 9.17.6 Key strategic moves and developments