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Global Artificial Intelligence (AI) in Fintech Market Research Report 2024
Synopsis
As FinTech applies data and technology to financial services in an effort to address industry challenges, artificial intelligence is essential to FinTech’s existence and usage.
The global Artificial Intelligence (AI) in Fintech market was valued at US$ 15210 million in 2023 and is anticipated to reach US$ 42810 million by 2030, witnessing a CAGR of 16.7% during the forecast period 2024-2030.
There are various market drivers for artificial intelligence (AI) in the financial technology (Fintech) sector, which are driving financial institutions to adopt AI technology to improve efficiency, reduce risks and provide better services. Here are some of the key market drivers:
Data analysis and decision support: Financial institutions are faced with massive amounts of data, and AI can analyze this data and provide more accurate decision support. This helps predict market trends, identify risks, formulate investment strategies, and more.
Automation and efficiency improvements: AI can be used to automate financial processes such as loan approval, customer service, fraud detection, settlement and settlement, etc. This reduces labor costs, speeds up transaction processing, and reduces errors.
Personalized financial services: AI can provide personalized financial services and recommendations based on customer needs and preferences. This increases customer satisfaction and aids in customer retention.
Risk management: AI technology can be used to monitor market risk, credit risk and operational risk in real time. This enables financial institutions to better manage risks and take timely measures.
Anti-fraud: AI can be used to detect financial fraud and illegal activity. By analyzing transaction patterns and behavior, potential fraud can be identified.
Digital payment and virtual currency: Fintech companies are promoting the development of digital payment and virtual currency. The application of AI technology in these fields can provide more secure, efficient and convenient payment methods.
These factors co-prosper
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Fintech, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence (AI) in Fintech.
Report Scope
The Artificial Intelligence (AI) in Fintech market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence (AI) in Fintech market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence (AI) in Fintech companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Autodesk
IBM
Microsoft
Oracle
SAP
Fanuc
NVIDIA
AWS
Intel
Yusys Technologies
JD
Baidu
Alibaba
Huawei
ByteDance
Segment by Type
Hardware
Software
Services
Segment by Application
Customer Service
Credit Scores
Insurance Support
Financial Market Prediction
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Artificial Intelligence (AI) in Fintech companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
As FinTech applies data and technology to financial services in an effort to address industry challenges, artificial intelligence is essential to FinTech’s existence and usage.
The global Artificial Intelligence (AI) in Fintech market was valued at US$ 15210 million in 2023 and is anticipated to reach US$ 42810 million by 2030, witnessing a CAGR of 16.7% during the forecast period 2024-2030.
There are various market drivers for artificial intelligence (AI) in the financial technology (Fintech) sector, which are driving financial institutions to adopt AI technology to improve efficiency, reduce risks and provide better services. Here are some of the key market drivers:
Data analysis and decision support: Financial institutions are faced with massive amounts of data, and AI can analyze this data and provide more accurate decision support. This helps predict market trends, identify risks, formulate investment strategies, and more.
Automation and efficiency improvements: AI can be used to automate financial processes such as loan approval, customer service, fraud detection, settlement and settlement, etc. This reduces labor costs, speeds up transaction processing, and reduces errors.
Personalized financial services: AI can provide personalized financial services and recommendations based on customer needs and preferences. This increases customer satisfaction and aids in customer retention.
Risk management: AI technology can be used to monitor market risk, credit risk and operational risk in real time. This enables financial institutions to better manage risks and take timely measures.
Anti-fraud: AI can be used to detect financial fraud and illegal activity. By analyzing transaction patterns and behavior, potential fraud can be identified.
Digital payment and virtual currency: Fintech companies are promoting the development of digital payment and virtual currency. The application of AI technology in these fields can provide more secure, efficient and convenient payment methods.
These factors co-prosper
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Fintech, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence (AI) in Fintech.
Report Scope
The Artificial Intelligence (AI) in Fintech market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence (AI) in Fintech market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence (AI) in Fintech companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Autodesk
IBM
Microsoft
Oracle
SAP
Fanuc
NVIDIA
AWS
Intel
Yusys Technologies
JD
Baidu
Alibaba
Huawei
ByteDance
Segment by Type
Hardware
Software
Services
Segment by Application
Customer Service
Credit Scores
Insurance Support
Financial Market Prediction
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Artificial Intelligence (AI) in Fintech companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence (AI) in Fintech Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global Artificial Intelligence (AI) in Fintech Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Customer Service
1.3.3 Credit Scores
1.3.4 Insurance Support
1.3.5 Financial Market Prediction
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence (AI) in Fintech Market Perspective (2019-2030)
2.2 Artificial Intelligence (AI) in Fintech Growth Trends by Region
2.2.1 Global Artificial Intelligence (AI) in Fintech Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence (AI) in Fintech Historic Market Size by Region (2019-2024)
2.2.3 Artificial Intelligence (AI) in Fintech Forecasted Market Size by Region (2025-2030)
2.3 Artificial Intelligence (AI) in Fintech Market Dynamics
2.3.1 Artificial Intelligence (AI) in Fintech Industry Trends
2.3.2 Artificial Intelligence (AI) in Fintech Market Drivers
2.3.3 Artificial Intelligence (AI) in Fintech Market Challenges
2.3.4 Artificial Intelligence (AI) in Fintech Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence (AI) in Fintech Players by Revenue
3.1.1 Global Top Artificial Intelligence (AI) in Fintech Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence (AI) in Fintech Revenue Market Share by Players (2019-2024)
3.2 Global Artificial Intelligence (AI) in Fintech Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence (AI) in Fintech Revenue
3.4 Global Artificial Intelligence (AI) in Fintech Market Concentration Ratio
3.4.1 Global Artificial Intelligence (AI) in Fintech Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence (AI) in Fintech Revenue in 2023
3.5 Artificial Intelligence (AI) in Fintech Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence (AI) in Fintech Product Solution and Service
3.7 Date of Enter into Artificial Intelligence (AI) in Fintech Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence (AI) in Fintech Breakdown Data by Type
4.1 Global Artificial Intelligence (AI) in Fintech Historic Market Size by Type (2019-2024)
4.2 Global Artificial Intelligence (AI) in Fintech Forecasted Market Size by Type (2025-2030)
5 Artificial Intelligence (AI) in Fintech Breakdown Data by Application
5.1 Global Artificial Intelligence (AI) in Fintech Historic Market Size by Application (2019-2024)
5.2 Global Artificial Intelligence (AI) in Fintech Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence (AI) in Fintech Market Size (2019-2030)
6.2 North America Artificial Intelligence (AI) in Fintech Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence (AI) in Fintech Market Size by Country (2019-2024)
6.4 North America Artificial Intelligence (AI) in Fintech Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence (AI) in Fintech Market Size (2019-2030)
7.2 Europe Artificial Intelligence (AI) in Fintech Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence (AI) in Fintech Market Size by Country (2019-2024)
7.4 Europe Artificial Intelligence (AI) in Fintech Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence (AI) in Fintech Market Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence (AI) in Fintech Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence (AI) in Fintech Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence (AI) in Fintech Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence (AI) in Fintech Market Size (2019-2030)
9.2 Latin America Artificial Intelligence (AI) in Fintech Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence (AI) in Fintech Market Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence (AI) in Fintech Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence (AI) in Fintech Market Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence (AI) in Fintech Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence (AI) in Fintech Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence (AI) in Fintech Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Autodesk
11.1.1 Autodesk Company Detail
11.1.2 Autodesk Business Overview
11.1.3 Autodesk Artificial Intelligence (AI) in Fintech Introduction
11.1.4 Autodesk Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.1.5 Autodesk Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM Artificial Intelligence (AI) in Fintech Introduction
11.2.4 IBM Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.2.5 IBM Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Detail
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Artificial Intelligence (AI) in Fintech Introduction
11.3.4 Microsoft Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.3.5 Microsoft Recent Development
11.4 Oracle
11.4.1 Oracle Company Detail
11.4.2 Oracle Business Overview
11.4.3 Oracle Artificial Intelligence (AI) in Fintech Introduction
11.4.4 Oracle Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.4.5 Oracle Recent Development
11.5 SAP
11.5.1 SAP Company Detail
11.5.2 SAP Business Overview
11.5.3 SAP Artificial Intelligence (AI) in Fintech Introduction
11.5.4 SAP Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.5.5 SAP Recent Development
11.6 Fanuc
11.6.1 Fanuc Company Detail
11.6.2 Fanuc Business Overview
11.6.3 Fanuc Artificial Intelligence (AI) in Fintech Introduction
11.6.4 Fanuc Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.6.5 Fanuc Recent Development
11.7 NVIDIA
11.7.1 NVIDIA Company Detail
11.7.2 NVIDIA Business Overview
11.7.3 NVIDIA Artificial Intelligence (AI) in Fintech Introduction
11.7.4 NVIDIA Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.7.5 NVIDIA Recent Development
11.8 AWS
11.8.1 AWS Company Detail
11.8.2 AWS Business Overview
11.8.3 AWS Artificial Intelligence (AI) in Fintech Introduction
11.8.4 AWS Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.8.5 AWS Recent Development
11.9 Intel
11.9.1 Intel Company Detail
11.9.2 Intel Business Overview
11.9.3 Intel Artificial Intelligence (AI) in Fintech Introduction
11.9.4 Intel Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.9.5 Intel Recent Development
11.10 Yusys Technologies
11.10.1 Yusys Technologies Company Detail
11.10.2 Yusys Technologies Business Overview
11.10.3 Yusys Technologies Artificial Intelligence (AI) in Fintech Introduction
11.10.4 Yusys Technologies Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.10.5 Yusys Technologies Recent Development
11.11 JD
11.11.1 JD Company Detail
11.11.2 JD Business Overview
11.11.3 JD Artificial Intelligence (AI) in Fintech Introduction
11.11.4 JD Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.11.5 JD Recent Development
11.12 Baidu
11.12.1 Baidu Company Detail
11.12.2 Baidu Business Overview
11.12.3 Baidu Artificial Intelligence (AI) in Fintech Introduction
11.12.4 Baidu Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.12.5 Baidu Recent Development
11.13 Alibaba
11.13.1 Alibaba Company Detail
11.13.2 Alibaba Business Overview
11.13.3 Alibaba Artificial Intelligence (AI) in Fintech Introduction
11.13.4 Alibaba Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.13.5 Alibaba Recent Development
11.14 Huawei
11.14.1 Huawei Company Detail
11.14.2 Huawei Business Overview
11.14.3 Huawei Artificial Intelligence (AI) in Fintech Introduction
11.14.4 Huawei Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.14.5 Huawei Recent Development
11.15 ByteDance
11.15.1 ByteDance Company Detail
11.15.2 ByteDance Business Overview
11.15.3 ByteDance Artificial Intelligence (AI) in Fintech Introduction
11.15.4 ByteDance Revenue in Artificial Intelligence (AI) in Fintech Business (2019-2024)
11.15.5 ByteDance Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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