
The global AI Risk Management for Finance and Banking market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
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$432.8 billion in 2022, a year-on-year increase of 19.16%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for AI Risk Management for Finance and Banking, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI Risk Management for Finance and Banking.
Report Scope
The AI Risk Management for Finance and Banking market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI Risk Management for Finance and Banking 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 AI Risk Management for Finance and Banking 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
Deloitte
Seclea
Reciprocity
EagleAI
GienTech
AHI-Fintech
QuantGroup
4Paradigm
Tongdun
Bangsun Technology
Yusys Technology
Segment by Type
Computer Vision
Machine Learning
Big Data
Segment by Application
Banking
Securities Industry
Insurance
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 AI Risk Management for Finance and Banking 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.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Risk Management for Finance and Banking Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Computer Vision
1.2.3 Machine Learning
1.2.4 Big Data
1.3 Market by Application
1.3.1 Global AI Risk Management for Finance and Banking Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Banking
1.3.3 Securities Industry
1.3.4 Insurance
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Risk Management for Finance and Banking Market Perspective (2019-2030)
2.2 AI Risk Management for Finance and Banking Growth Trends by Region
2.2.1 Global AI Risk Management for Finance and Banking Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Risk Management for Finance and Banking Historic Market Size by Region (2019-2024)
2.2.3 AI Risk Management for Finance and Banking Forecasted Market Size by Region (2025-2030)
2.3 AI Risk Management for Finance and Banking Market Dynamics
2.3.1 AI Risk Management for Finance and Banking Industry Trends
2.3.2 AI Risk Management for Finance and Banking Market Drivers
2.3.3 AI Risk Management for Finance and Banking Market Challenges
2.3.4 AI Risk Management for Finance and Banking Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Risk Management for Finance and Banking Players by Revenue
3.1.1 Global Top AI Risk Management for Finance and Banking Players by Revenue (2019-2024)
3.1.2 Global AI Risk Management for Finance and Banking Revenue Market Share by Players (2019-2024)
3.2 Global AI Risk Management for Finance and Banking Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI Risk Management for Finance and Banking Revenue
3.4 Global AI Risk Management for Finance and Banking Market Concentration Ratio
3.4.1 Global AI Risk Management for Finance and Banking Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Risk Management for Finance and Banking Revenue in 2023
3.5 AI Risk Management for Finance and Banking Key Players Head office and Area Served
3.6 Key Players AI Risk Management for Finance and Banking Product Solution and Service
3.7 Date of Enter into AI Risk Management for Finance and Banking Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Risk Management for Finance and Banking Breakdown Data by Type
4.1 Global AI Risk Management for Finance and Banking Historic Market Size by Type (2019-2024)
4.2 Global AI Risk Management for Finance and Banking Forecasted Market Size by Type (2025-2030)
5 AI Risk Management for Finance and Banking Breakdown Data by Application
5.1 Global AI Risk Management for Finance and Banking Historic Market Size by Application (2019-2024)
5.2 Global AI Risk Management for Finance and Banking Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI Risk Management for Finance and Banking Market Size (2019-2030)
6.2 North America AI Risk Management for Finance and Banking Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Risk Management for Finance and Banking Market Size by Country (2019-2024)
6.4 North America AI Risk Management for Finance and Banking Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Risk Management for Finance and Banking Market Size (2019-2030)
7.2 Europe AI Risk Management for Finance and Banking Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Risk Management for Finance and Banking Market Size by Country (2019-2024)
7.4 Europe AI Risk Management for Finance and Banking 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 AI Risk Management for Finance and Banking Market Size (2019-2030)
8.2 Asia-Pacific AI Risk Management for Finance and Banking Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Risk Management for Finance and Banking Market Size by Region (2019-2024)
8.4 Asia-Pacific AI Risk Management for Finance and Banking 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 AI Risk Management for Finance and Banking Market Size (2019-2030)
9.2 Latin America AI Risk Management for Finance and Banking Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Risk Management for Finance and Banking Market Size by Country (2019-2024)
9.4 Latin America AI Risk Management for Finance and Banking Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Risk Management for Finance and Banking Market Size (2019-2030)
10.2 Middle East & Africa AI Risk Management for Finance and Banking Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Risk Management for Finance and Banking Market Size by Country (2019-2024)
10.4 Middle East & Africa AI Risk Management for Finance and Banking Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Deloitte
11.1.1 Deloitte Company Detail
11.1.2 Deloitte Business Overview
11.1.3 Deloitte AI Risk Management for Finance and Banking Introduction
11.1.4 Deloitte Revenue in AI Risk Management for Finance and Banking Business (2019-2024)
11.1.5 Deloitte Recent Development
11.2 Seclea
11.2.1 Seclea Company Detail
11.2.2 Seclea Business Overview
11.2.3 Seclea AI Risk Management for Finance and Banking Introduction
11.2.4 Seclea Revenue in AI Risk Management for Finance and Banking Business (2019-2024)
11.2.5 Seclea Recent Development
11.3 Reciprocity
11.3.1 Reciprocity Company Detail
11.3.2 Reciprocity Business Overview
11.3.3 Reciprocity AI Risk Management for Finance and Banking Introduction
11.3.4 Reciprocity Revenue in AI Risk Management for Finance and Banking Business (2019-2024)
11.3.5 Reciprocity Recent Development
11.4 EagleAI
11.4.1 EagleAI Company Detail
11.4.2 EagleAI Business Overview
11.4.3 EagleAI AI Risk Management for Finance and Banking Introduction
11.4.4 EagleAI Revenue in AI Risk Management for Finance and Banking Business (2019-2024)
11.4.5 EagleAI Recent Development
11.5 GienTech
11.5.1 GienTech Company Detail
11.5.2 GienTech Business Overview
11.5.3 GienTech AI Risk Management for Finance and Banking Introduction
11.5.4 GienTech Revenue in AI Risk Management for Finance and Banking Business (2019-2024)
11.5.5 GienTech Recent Development
11.6 AHI-Fintech
11.6.1 AHI-Fintech Company Detail
11.6.2 AHI-Fintech Business Overview
11.6.3 AHI-Fintech AI Risk Management for Finance and Banking Introduction
11.6.4 AHI-Fintech Revenue in AI Risk Management for Finance and Banking Business (2019-2024)
11.6.5 AHI-Fintech Recent Development
11.7 QuantGroup
11.7.1 QuantGroup Company Detail
11.7.2 QuantGroup Business Overview
11.7.3 QuantGroup AI Risk Management for Finance and Banking Introduction
11.7.4 QuantGroup Revenue in AI Risk Management for Finance and Banking Business (2019-2024)
11.7.5 QuantGroup Recent Development
11.8 4Paradigm
11.8.1 4Paradigm Company Detail
11.8.2 4Paradigm Business Overview
11.8.3 4Paradigm AI Risk Management for Finance and Banking Introduction
11.8.4 4Paradigm Revenue in AI Risk Management for Finance and Banking Business (2019-2024)
11.8.5 4Paradigm Recent Development
11.9 Tongdun
11.9.1 Tongdun Company Detail
11.9.2 Tongdun Business Overview
11.9.3 Tongdun AI Risk Management for Finance and Banking Introduction
11.9.4 Tongdun Revenue in AI Risk Management for Finance and Banking Business (2019-2024)
11.9.5 Tongdun Recent Development
11.10 Bangsun Technology
11.10.1 Bangsun Technology Company Detail
11.10.2 Bangsun Technology Business Overview
11.10.3 Bangsun Technology AI Risk Management for Finance and Banking Introduction
11.10.4 Bangsun Technology Revenue in AI Risk Management for Finance and Banking Business (2019-2024)
11.10.5 Bangsun Technology Recent Development
11.11 Yusys Technology
11.11.1 Yusys Technology Company Detail
11.11.2 Yusys Technology Business Overview
11.11.3 Yusys Technology AI Risk Management for Finance and Banking Introduction
11.11.4 Yusys Technology Revenue in AI Risk Management for Finance and Banking Business (2019-2024)
11.11.5 Yusys Technology 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
Deloitte
Seclea
Reciprocity
EagleAI
GienTech
AHI-Fintech
QuantGroup
4Paradigm
Tongdun
Bangsun Technology
Yusys Technology
Ìý
Ìý
*If Applicable.
