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AI in Fintech-Global Market Insights and Sales Trends 2025
Synopsis
The global AI in Fintech market size is expected to reach US$ 17440 million by 2029, growing at a CAGR of 17.9% from 2023 to 2029. The market is mainly driven by the significant applications of AI in Fintech in various end use industries. The expanding demands from the Virtual Assistant, Business Analytics and Reporting, Customer Behavioral Analytics and Others, are propelling AI in Fintech market. Software Tools, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Platforms segment is estimated at % CAGR for the next seven-year period.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.51%, including software, hardware and services.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for AI in Fintech, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global AI in Fintech market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global AI in Fintech market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, AI in Fintech sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of AI in Fintech covered in this report include Microsoft (US), Google (California, US), Salesforce.com (US), IBM (US), Intel (US), Amazon Web Services (US), Inbenta Technologies (US), IPsoft (US) and Nuance Communications (US), etc.
The global AI in Fintech market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Microsoft (US)
Google (California, US)
Salesforce.com (US)
IBM (US)
Intel (US)
Amazon Web Services (US)
Inbenta Technologies (US)
IPsoft (US)
Nuance Communications (US)
ComplyAdvantage.com (US)
Global AI in Fintech market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global AI in Fintech market, Segment by Type:
Software Tools
Platforms
Global AI in Fintech market, by Application
Virtual Assistant
Business Analytics and Reporting
Customer Behavioral Analytics
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of AI in Fintech companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
The global AI in Fintech market size is expected to reach US$ 17440 million by 2029, growing at a CAGR of 17.9% from 2023 to 2029. The market is mainly driven by the significant applications of AI in Fintech in various end use industries. The expanding demands from the Virtual Assistant, Business Analytics and Reporting, Customer Behavioral Analytics and Others, are propelling AI in Fintech market. Software Tools, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Platforms segment is estimated at % CAGR for the next seven-year period.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.51%, including software, hardware and services.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for AI in Fintech, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global AI in Fintech market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global AI in Fintech market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, AI in Fintech sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of AI in Fintech covered in this report include Microsoft (US), Google (California, US), Salesforce.com (US), IBM (US), Intel (US), Amazon Web Services (US), Inbenta Technologies (US), IPsoft (US) and Nuance Communications (US), etc.
The global AI in Fintech market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Microsoft (US)
Google (California, US)
Salesforce.com (US)
IBM (US)
Intel (US)
Amazon Web Services (US)
Inbenta Technologies (US)
IPsoft (US)
Nuance Communications (US)
ComplyAdvantage.com (US)
Global AI in Fintech market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global AI in Fintech market, Segment by Type:
Software Tools
Platforms
Global AI in Fintech market, by Application
Virtual Assistant
Business Analytics and Reporting
Customer Behavioral Analytics
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of AI in Fintech companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of AI in Fintech
1.1 AI in Fintech Market Overview
1.1.1 AI in Fintech Product Scope
1.1.2 AI in Fintech Market Status and Outlook
1.2 Global AI in Fintech Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global AI in Fintech Market Size by Region (2018-2029)
1.4 Global AI in Fintech Historic Market Size by Region (2018-2023)
1.5 Global AI in Fintech Market Size Forecast by Region (2024-2029)
1.6 Key Regions, AI in Fintech Market Size (2018-2029)
1.6.1 North America AI in Fintech Market Size (2018-2029)
1.6.2 Europe AI in Fintech Market Size (2018-2029)
1.6.3 Asia-Pacific AI in Fintech Market Size (2018-2029)
1.6.4 Latin America AI in Fintech Market Size (2018-2029)
1.6.5 Middle East & Africa AI in Fintech Market Size (2018-2029)
2 AI in Fintech Market by Type
2.1 Introduction
2.1.1 Software Tools
2.1.2 Platforms
2.2 Global AI in Fintech Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global AI in Fintech Historic Market Size by Type (2018-2023)
2.2.2 Global AI in Fintech Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America AI in Fintech Revenue Breakdown by Type (2018-2029)
2.3.2 Europe AI in Fintech Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific AI in Fintech Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America AI in Fintech Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa AI in Fintech Revenue Breakdown by Type (2018-2029)
3 AI in Fintech Market Overview by Application
3.1 Introduction
3.1.1 Virtual Assistant
3.1.2 Business Analytics and Reporting
3.1.3 Customer Behavioral Analytics
3.1.4 Others
3.2 Global AI in Fintech Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global AI in Fintech Historic Market Size by Application (2018-2023)
3.2.2 Global AI in Fintech Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America AI in Fintech Revenue Breakdown by Application (2018-2029)
3.3.2 Europe AI in Fintech Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific AI in Fintech Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America AI in Fintech Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa AI in Fintech Revenue Breakdown by Application (2018-2029)
4 AI in Fintech Competition Analysis by Players
4.1 Global AI in Fintech Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in AI in Fintech as of 2022)
4.3 Date of Key Players Enter into AI in Fintech Market
4.4 Global Top Players AI in Fintech Headquarters and Area Served
4.5 Key Players AI in Fintech Product Solution and Service
4.6 Competitive Status
4.6.1 AI in Fintech Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Microsoft (US)
5.1.1 Microsoft (US) Profile
5.1.2 Microsoft (US) Main Business
5.1.3 Microsoft (US) AI in Fintech Products, Services and Solutions
5.1.4 Microsoft (US) AI in Fintech Revenue (US$ Million) & (2018-2023)
5.1.5 Microsoft (US) Recent Developments
5.2 Google (California, US)
5.2.1 Google (California, US) Profile
5.2.2 Google (California, US) Main Business
5.2.3 Google (California, US) AI in Fintech Products, Services and Solutions
5.2.4 Google (California, US) AI in Fintech Revenue (US$ Million) & (2018-2023)
5.2.5 Google (California, US) Recent Developments
5.3 Salesforce.com (US)
5.3.1 Salesforce.com (US) Profile
5.3.2 Salesforce.com (US) Main Business
5.3.3 Salesforce.com (US) AI in Fintech Products, Services and Solutions
5.3.4 Salesforce.com (US) AI in Fintech Revenue (US$ Million) & (2018-2023)
5.3.5 IBM (US) Recent Developments
5.4 IBM (US)
5.4.1 IBM (US) Profile
5.4.2 IBM (US) Main Business
5.4.3 IBM (US) AI in Fintech Products, Services and Solutions
5.4.4 IBM (US) AI in Fintech Revenue (US$ Million) & (2018-2023)
5.4.5 IBM (US) Recent Developments
5.5 Intel (US)
5.5.1 Intel (US) Profile
5.5.2 Intel (US) Main Business
5.5.3 Intel (US) AI in Fintech Products, Services and Solutions
5.5.4 Intel (US) AI in Fintech Revenue (US$ Million) & (2018-2023)
5.5.5 Intel (US) Recent Developments
5.6 Amazon Web Services (US)
5.6.1 Amazon Web Services (US) Profile
5.6.2 Amazon Web Services (US) Main Business
5.6.3 Amazon Web Services (US) AI in Fintech Products, Services and Solutions
5.6.4 Amazon Web Services (US) AI in Fintech Revenue (US$ Million) & (2018-2023)
5.6.5 Amazon Web Services (US) Recent Developments
5.7 Inbenta Technologies (US)
5.7.1 Inbenta Technologies (US) Profile
5.7.2 Inbenta Technologies (US) Main Business
5.7.3 Inbenta Technologies (US) AI in Fintech Products, Services and Solutions
5.7.4 Inbenta Technologies (US) AI in Fintech Revenue (US$ Million) & (2018-2023)
5.7.5 Inbenta Technologies (US) Recent Developments
5.8 IPsoft (US)
5.8.1 IPsoft (US) Profile
5.8.2 IPsoft (US) Main Business
5.8.3 IPsoft (US) AI in Fintech Products, Services and Solutions
5.8.4 IPsoft (US) AI in Fintech Revenue (US$ Million) & (2018-2023)
5.8.5 IPsoft (US) Recent Developments
5.9 Nuance Communications (US)
5.9.1 Nuance Communications (US) Profile
5.9.2 Nuance Communications (US) Main Business
5.9.3 Nuance Communications (US) AI in Fintech Products, Services and Solutions
5.9.4 Nuance Communications (US) AI in Fintech Revenue (US$ Million) & (2018-2023)
5.9.5 Nuance Communications (US) Recent Developments
5.10 ComplyAdvantage.com (US)
5.10.1 ComplyAdvantage.com (US) Profile
5.10.2 ComplyAdvantage.com (US) Main Business
5.10.3 ComplyAdvantage.com (US) AI in Fintech Products, Services and Solutions
5.10.4 ComplyAdvantage.com (US) AI in Fintech Revenue (US$ Million) & (2018-2023)
5.10.5 ComplyAdvantage.com (US) Recent Developments
6 North America
6.1 North America AI in Fintech Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe AI in Fintech Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific AI in Fintech Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America AI in Fintech Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa AI in Fintech Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 AI in Fintech Market Dynamics
11.1 AI in Fintech Industry Trends
11.2 AI in Fintech Market Drivers
11.3 AI in Fintech Market Challenges
11.4 AI in Fintech Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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