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AI Risk Management for Finance and Banking Market, Global Outlook and Forecast 2023-2029

AI Risk Management for Finance and Banking Market, Global Outlook and Forecast 2023-2029

  • Published on : 06 April 2023
  • Pages :67
  • Report Code:SMR-7630417

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Report overview

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. This report contains market size and forecasts of AI Risk Management for Finance and Banking in global, including the following market information:
Global AI Risk Management for Finance and Banking Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global AI Risk Management for Finance and Banking market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Computer Vision Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of AI Risk Management for Finance and Banking include Deloitte, Seclea, Reciprocity, EagleAI, GienTech, AHI-Fintech, QuantGroup, 4Paradigm and Tongdun, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the AI Risk Management for Finance and Banking companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global AI Risk Management for Finance and Banking Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global AI Risk Management for Finance and Banking Market Segment Percentages, by Type, 2022 (%)
Computer Vision
Machine Learning
Big Data
Global AI Risk Management for Finance and Banking Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global AI Risk Management for Finance and Banking Market Segment Percentages, by Application, 2022 (%)
Banking
Securities Industry
Insurance
Global AI Risk Management for Finance and Banking Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global AI Risk Management for Finance and Banking Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies AI Risk Management for Finance and Banking revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies AI Risk Management for Finance and Banking revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Deloitte
Seclea
Reciprocity
EagleAI
GienTech
AHI-Fintech
QuantGroup
4Paradigm
Tongdun
Bangsun Technology
Yusys Technology
Outline of Major Chapters:
Chapter 1: Introduces the definition of AI Risk Management for Finance and Banking, market overview.
Chapter 2: Global AI Risk Management for Finance and Banking market size in revenue.
Chapter 3: Detailed analysis of AI Risk Management for Finance and Banking company competitive landscape, revenue and 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: Sales of AI Risk Management for Finance and Banking in regional level and country 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 of each country in the world.
Chapter 7: 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 8: The main points and conclusions of the report.