As FinTech applies data and technology to financial services in an effort to address industry challenges, artificial intelligence is essential to FinTech鈥檚 existence and usage.
麻豆原创 Analysis and Insights: Global Artificial Intelligence (AI) in Fintech 麻豆原创
The global Artificial Intelligence (AI) in Fintech market is projected to grow from US$ 16960 million in 2024 to US$ 42810 million by 2030, at a Compound Annual Growth Rate (CAGR) of 16.7% during the forecast period.
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
Report Covers:
This report presents an overview of global market for Artificial Intelligence (AI) in Fintech market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Artificial Intelligence (AI) in Fintech, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Artificial Intelligence (AI) in Fintech, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Artificial Intelligence (AI) in Fintech revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Artificial Intelligence (AI) in Fintech market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Artificial Intelligence (AI) in Fintech revenue, projected growth trends, production technology, application and end-user industry.
麻豆原创 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 麻豆原创 Prediction
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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: Revenue of Artificial Intelligence (AI) in Fintech in global and regional level. 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. 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鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence (AI) in Fintech revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
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1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Artificial Intelligence (AI) in Fintech 麻豆原创 Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 麻豆原创 by Application
1.3.1 Global Artificial Intelligence (AI) in Fintech 麻豆原创 Size Growth Rate 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 麻豆原创 Prediction
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence (AI) in Fintech 麻豆原创 Perspective (2019-2030)
2.2 Global Artificial Intelligence (AI) in Fintech Growth Trends by Region
2.2.1 Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence (AI) in Fintech Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Artificial Intelligence (AI) in Fintech Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Artificial Intelligence (AI) in Fintech 麻豆原创 Dynamics
2.3.1 Artificial Intelligence (AI) in Fintech Industry Trends
2.3.2 Artificial Intelligence (AI) in Fintech 麻豆原创 Drivers
2.3.3 Artificial Intelligence (AI) in Fintech 麻豆原创 Challenges
2.3.4 Artificial Intelligence (AI) in Fintech 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Artificial Intelligence (AI) in Fintech by Players
3.1.1 Global Artificial Intelligence (AI) in Fintech Revenue by Players (2019-2024)
3.1.2 Global Artificial Intelligence (AI) in Fintech Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Artificial Intelligence (AI) in Fintech 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Artificial Intelligence (AI) in Fintech, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Artificial Intelligence (AI) in Fintech 麻豆原创 Concentration Ratio
3.4.1 Global Artificial Intelligence (AI) in Fintech 麻豆原创 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 Global Key Players of Artificial Intelligence (AI) in Fintech Head office and Area Served
3.6 Global Key Players of Artificial Intelligence (AI) in Fintech, Product and Application
3.7 Global Key Players of Artificial Intelligence (AI) in Fintech, Date of Enter into This Industry
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 麻豆原创 Size by Type (2019-2024)
4.2 Global Artificial Intelligence (AI) in Fintech Forecasted 麻豆原创 Size by Type (2025-2030)
5 Artificial Intelligence (AI) in Fintech Breakdown Data by Application
5.1 Global Artificial Intelligence (AI) in Fintech Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Artificial Intelligence (AI) in Fintech Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Size (2019-2030)
6.2 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type
6.2.1 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type (2019-2024)
6.2.2 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type (2025-2030)
6.2.3 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Share by Type (2019-2030)
6.3 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application
6.3.1 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application (2019-2024)
6.3.2 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application (2025-2030)
6.3.3 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Share by Application (2019-2030)
6.4 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country
6.4.1 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country (2019-2024)
6.4.3 North America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Size (2019-2030)
7.2 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type
7.2.1 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type (2019-2024)
7.2.2 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type (2025-2030)
7.2.3 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Share by Type (2019-2030)
7.3 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application
7.3.1 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application (2019-2024)
7.3.2 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application (2025-2030)
7.3.3 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Share by Application (2019-2030)
7.4 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country
7.4.1 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country (2019-2024)
7.4.3 Europe Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Artificial Intelligence (AI) in Fintech 麻豆原创 Size (2019-2030)
8.2 China Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type
8.2.1 China Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type (2019-2024)
8.2.2 China Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type (2025-2030)
8.2.3 China Artificial Intelligence (AI) in Fintech 麻豆原创 Share by Type (2019-2030)
8.3 China Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application
8.3.1 China Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application (2019-2024)
8.3.2 China Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application (2025-2030)
8.3.3 China Artificial Intelligence (AI) in Fintech 麻豆原创 Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Size (2019-2030)
9.2 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type
9.2.1 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type (2019-2024)
9.2.2 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type (2025-2030)
9.2.3 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Share by Type (2019-2030)
9.3 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application
9.3.1 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application (2019-2024)
9.3.2 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application (2025-2030)
9.3.3 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Share by Application (2019-2030)
9.4 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Region
9.4.1 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Region (2019-2024)
9.4.3 Asia Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Size (2019-2030)
10.2 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type
10.2.1 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application
10.3.1 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country
10.4.1 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Artificial Intelligence (AI) in Fintech 麻豆原创 Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Autodesk
11.1.1 Autodesk Company Details
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 Developments
11.2 IBM
11.2.1 IBM Company Details
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 Developments
11.3 Microsoft
11.3.1 Microsoft Company Details
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 Developments
11.4 Oracle
11.4.1 Oracle Company Details
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 Developments
11.5 SAP
11.5.1 SAP Company Details
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 Developments
11.6 Fanuc
11.6.1 Fanuc Company Details
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 Developments
11.7 NVIDIA
11.7.1 NVIDIA Company Details
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 Developments
11.8 AWS
11.8.1 AWS Company Details
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 Developments
11.9 Intel
11.9.1 Intel Company Details
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 Developments
11.10 Yusys Technologies
11.10.1 Yusys Technologies Company Details
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 Developments
11.11 JD
11.11.1 JD Company Details
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 Developments
11.12 Baidu
11.12.1 Baidu Company Details
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 Developments
11.13 Alibaba
11.13.1 Alibaba Company Details
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 Developments
11.14 Huawei
11.14.1 Huawei Company Details
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 Developments
11.15 ByteDance
11.15.1 ByteDance Company Details
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 Developments
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
Autodesk
IBM
Microsoft
Oracle
SAP
Fanuc
NVIDIA
AWS
Intel
Yusys Technologies
JD
Baidu
Alibaba
Huawei
ByteDance
听
听
*If Applicable.
