Selected research
Industry Growth & Trends
Global AI Fraud Detection in Banking Industry Growth and Trends Forecast to 2032
Market perspective
According to APO Research, the global AI Fraud Detection in Banking market was valued at US$ million in 2026 and is projected to reach US$ million by 2032, implying a CAGR of xx% over 2026-2032.
The North America market for AI Fraud Detection in Banking is projected to increase from US$ million in 2026 to US$ million by 2032, corresponding to a CAGR of % over 2026-2032.
The Europe market for AI Fraud Detection in Banking is projected to increase from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026-2032.
Read the full market overview
The Asia Pacific market for AI Fraud Detection in Banking is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Leading global companies in the AI Fraud Detection in Banking market include Eastnets, Feedzai, Resistant AI, NetGuardians, ADVANCE, Sift, Fraud.net, SEON and Sardine, among others. In 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
This report provides a structured, data-driven view of the global AI Fraud Detection in Banking market, combining harmonized quantitative metrics with targeted qualitative insight to support business and growth strategy, market positioning, and capital allocation.
The AI Fraud Detection in Banking market size, estimates, and forecasts are presented in terms of revenue (US$ million), with 2025 as the base year and historical and forecast data for 2021-2032. The report segments the global AI Fraud Detection in Banking market by Type, Application, region/country, and company, provides regional market sizes at the segment level, profiles the competitive landscape and key players and their market ranks, and reviews technology trends and new product developments relevant to AI Fraud Detection in Banking.
Key Companies & Market Share Insights
This section analyzes the strategies and performance of leading companies in the global AI Fraud Detection in Banking market, including portfolio focus, innovation and product development, mergers and acquisitions, collaborations, and geographic expansion used to sustain or enhance competitive positions. It also summarizes recent corporate developments and key financial indicators and provides global revenue and gross margin data by manufacturer for 2021-2026, enabling benchmarking of scale, profitability, and market share and supporting assessment of market concentration through indicators such as CR5 and CR10.
AI Fraud Detection in Banking Market by Company
Eastnets
Feedzai
Resistant AI
NetGuardians
ADVANCE
Sift
Fraud.net
SEON
Sardine
Mastercard Consumer Fraud Risk
Cifas
GFT
Hawk
SymphonyAI
SB Payment Service
KPMG
NICE Actimize
DataVisor
4Paradigm
Shanghai Shengteng Data Technology
Iflytek
AI Fraud Detection in Banking Segment by Type
Supervised Learning-based Fraud Detection
Unsupervised Learning-based Fraud Detection
AI Fraud Detection in Banking Segment by Application
Real-Time Transaction Monitoring
Credit Card & Payment Fraud Prevention
Identity Verification & Biometric Authentication
Others
AI Fraud Detection in Banking Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI Fraud Detection in Banking market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI Fraud Detection in Banking and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI Fraud Detection in Banking.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2021-2025, 2026-2031). 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: 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 3: 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 4: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 5: Detailed analysis of AI Fraud Detection in Banking companies' competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 6: 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 7, 8, 9, 10 and 11: North America, Europe, Asia Pacific, South America, Middle East & Africa, revenue by country.
Chapter 12: Concluding Insights of the report
More report detail
Tables and figures
Scope & coverage.
Types
- Supervised Learning-based Fraud Detection
- Unsupervised Learning-based Fraud Detection
Applications
- Real-Time Transaction Monitoring
- Credit Card & Payment Fraud Prevention
- Identity Verification & Biometric Authentication
- Others
Companies covered
- Eastnets
- Feedzai
- Resistant AI
- NetGuardians
- ADVANCE
- Sift
- Fraud.net
- SEON
- Sardine
- Mastercard Consumer Fraud Risk
- Cifas
- GFT
- Hawk
- SymphonyAI
- SB Payment Service
- KPMG
- NICE Actimize
- DataVisor
- 4Paradigm
- Shanghai Shengteng Data Technology
- Iflytek
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Global Market Growth Prospects
- 1.3 Global AI Fraud Detection in Banking Market Size Overview by Region 2021 VS 2025 VS 2032
- 1.4 Global AI Fraud Detection in Banking Market Size by Region (2021-2032)
- 1.4.1 Global AI Fraud Detection in Banking Market Size by Region (2021-2026)
- 1.4.2 Global AI Fraud Detection in Banking Market Size by Region (2027-2032)
- 1.5 Key Regions AI Fraud Detection in Banking Market Size (2021-2032)
- 1.5.1 North America AI Fraud Detection in Banking Market Size Growth Rate (2021-2032)
- 1.5.2 Europe AI Fraud Detection in Banking Market Size Growth Rate (2021-2032)
- 1.5.3 Asia-Pacific AI Fraud Detection in Banking Market Size Growth Rate (2021-2032)
- 1.5.4 South America AI Fraud Detection in Banking Market Size Growth Rate (2021-2032)
- 1.5.5 Middle East & Africa AI Fraud Detection in Banking Market Size Growth Rate (2021-2032)
2 AI Fraud Detection in Banking Market by Type
- 2.1 Type Introduction
- 2.1.1 Supervised Learning-based Fraud Detection
- 2.1.2 Unsupervised Learning-based Fraud Detection
- 2.2 Global AI Fraud Detection in Banking Market Size by Type
- 2.2.1 Global AI Fraud Detection in Banking Market Size Overview by Type (2021-2032)
- 2.2.2 Global AI Fraud Detection in Banking Historic Market Size Review by Type (2021-2026)
- 2.2.3 Global AI Fraud Detection in Banking Market Size Forecasted by Type (2027-2032)
- 2.3 Global AI Fraud Detection in Banking Market Size by Regions
- 2.3.1 North America AI Fraud Detection in Banking Market Size Breakdown by Type (2021-2026)
- 2.3.2 Europe AI Fraud Detection in Banking Market Size Breakdown by Type (2021-2026)
- 2.3.3 Asia-Pacific AI Fraud Detection in Banking Market Size Breakdown by Type (2021-2026)
- 2.3.4 South America AI Fraud Detection in Banking Market Size Breakdown by Type (2021-2026)
- 2.3.5 Middle East and Africa AI Fraud Detection in Banking Market Size Breakdown by Type (2021-2026)
3 AI Fraud Detection in Banking Market by Application
- 3.1 Type Introduction
- 3.1.1 Real-Time Transaction Monitoring
- 3.1.2 Credit Card & Payment Fraud Prevention
- 3.1.3 Identity Verification & Biometric Authentication
- 3.1.4 Others
- 3.2 Global AI Fraud Detection in Banking Market Size by Application
- 3.2.1 Global AI Fraud Detection in Banking Market Size Overview by Application (2021-2032)
- 3.2.2 Global AI Fraud Detection in Banking Historic Market Size Review by Application (2021-2026)
- 3.2.3 Global AI Fraud Detection in Banking Market Size Forecasted by Application (2027-2032)
- 3.3 Global AI Fraud Detection in Banking Market Size by Regions
- 3.3.1 North America AI Fraud Detection in Banking Market Size Breakdown by Application (2021-2026)
- 3.3.2 Europe AI Fraud Detection in Banking Market Size Breakdown by Application (2021-2026)
- 3.3.3 Asia-Pacific AI Fraud Detection in Banking Market Size Breakdown by Application (2021-2026)
- 3.3.4 South America AI Fraud Detection in Banking Market Size Breakdown by Application (2021-2026)
- 3.3.5 Middle East and Africa AI Fraud Detection in Banking Market Size Breakdown by Application (2021-2026)
4 Global Market Dynamics
- 4.1 AI Fraud Detection in Banking Industry Trends
- 4.2 AI Fraud Detection in Banking Industry Drivers
- 4.3 AI Fraud Detection in Banking Industry Opportunities and Challenges
- 4.4 AI Fraud Detection in Banking Industry Restraints
5 Competitive Insights by Company
- 5.1 Global Top Players by AI Fraud Detection in Banking Revenue (2021-2026)
- 5.2 Global AI Fraud Detection in Banking Industry Company Ranking, 2024 VS 2025 VS 2026
- 5.3 Global AI Fraud Detection in Banking Key Company Headquarters & Area Served
- 5.4 Global AI Fraud Detection in Banking Company, Product Type & Application
- 5.5 Global AI Fraud Detection in Banking Company Commercialization Time
- 5.6 Market Competitive Analysis
- 5.6.1 Global AI Fraud Detection in Banking Market CR5 and HHI
- 5.6.2 Global Top 5 and 10 AI Fraud Detection in Banking Players Market Share by Revenue in 2025
- 5.6.3 2025 AI Fraud Detection in Banking Tier 1, Tier 2, and Tier 3
6 Company Profiles
- 6.1 Eastnets
- 6.1.1 Eastnets Company Information
- 6.1.2 Eastnets Business Overview
- 6.1.3 Eastnets AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.1.4 Eastnets AI Fraud Detection in Banking Product Portfolio
- 6.1.5 Eastnets Recent Developments
- 6.2 Feedzai
- 6.2.1 Feedzai Company Information
- 6.2.2 Feedzai Business Overview
- 6.2.3 Feedzai AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.2.4 Feedzai AI Fraud Detection in Banking Product Portfolio
- 6.2.5 Feedzai Recent Developments
- 6.3 Resistant AI
- 6.3.1 Resistant AI Company Information
- 6.3.2 Resistant AI Business Overview
- 6.3.3 Resistant AI AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.3.4 Resistant AI AI Fraud Detection in Banking Product Portfolio
- 6.3.5 Resistant AI Recent Developments
- 6.4 NetGuardians
- 6.4.1 NetGuardians Company Information
- 6.4.2 NetGuardians Business Overview
- 6.4.3 NetGuardians AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.4.4 NetGuardians AI Fraud Detection in Banking Product Portfolio
- 6.4.5 NetGuardians Recent Developments
- 6.5 ADVANCE
- 6.5.1 ADVANCE Company Information
- 6.5.2 ADVANCE Business Overview
- 6.5.3 ADVANCE AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.5.4 ADVANCE AI Fraud Detection in Banking Product Portfolio
- 6.5.5 ADVANCE Recent Developments
- 6.6 Sift
- 6.6.1 Sift Company Information
- 6.6.2 Sift Business Overview
- 6.6.3 Sift AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.6.4 Sift AI Fraud Detection in Banking Product Portfolio
- 6.6.5 Sift Recent Developments
- 6.7 Fraud.net
- 6.7.1 Fraud.net Company Information
- 6.7.2 Fraud.net Business Overview
- 6.7.3 Fraud.net AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.7.4 Fraud.net AI Fraud Detection in Banking Product Portfolio
- 6.7.5 Fraud.net Recent Developments
- 6.8 SEON
- 6.8.1 SEON Company Information
- 6.8.2 SEON Business Overview
- 6.8.3 SEON AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.8.4 SEON AI Fraud Detection in Banking Product Portfolio
- 6.8.5 SEON Recent Developments
- 6.9 Sardine
- 6.9.1 Sardine Company Information
- 6.9.2 Sardine Business Overview
- 6.9.3 Sardine AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.9.4 Sardine AI Fraud Detection in Banking Product Portfolio
- 6.9.5 Sardine Recent Developments
- 6.10 Mastercard Consumer Fraud Risk
- 6.10.1 Mastercard Consumer Fraud Risk Company Information
- 6.10.2 Mastercard Consumer Fraud Risk Business Overview
- 6.10.3 Mastercard Consumer Fraud Risk AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.10.4 Mastercard Consumer Fraud Risk AI Fraud Detection in Banking Product Portfolio
- 6.10.5 Mastercard Consumer Fraud Risk Recent Developments
- 6.11 Cifas
- 6.11.1 Cifas Company Information
- 6.11.2 Cifas Business Overview
- 6.11.3 Cifas AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.11.4 Cifas AI Fraud Detection in Banking Product Portfolio
- 6.11.5 Cifas Recent Developments
- 6.12 GFT
- 6.12.1 GFT Company Information
- 6.12.2 GFT Business Overview
- 6.12.3 GFT AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.12.4 GFT AI Fraud Detection in Banking Product Portfolio
- 6.12.5 GFT Recent Developments
- 6.13 Hawk
- 6.13.1 Hawk Company Information
- 6.13.2 Hawk Business Overview
- 6.13.3 Hawk AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.13.4 Hawk AI Fraud Detection in Banking Product Portfolio
- 6.13.5 Hawk Recent Developments
- 6.14 SymphonyAI
- 6.14.1 SymphonyAI Company Information
- 6.14.2 SymphonyAI Business Overview
- 6.14.3 SymphonyAI AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.14.4 SymphonyAI AI Fraud Detection in Banking Product Portfolio
- 6.14.5 SymphonyAI Recent Developments
- 6.15 SB Payment Service
- 6.15.1 SB Payment Service Company Information
- 6.15.2 SB Payment Service Business Overview
- 6.15.3 SB Payment Service AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.15.4 SB Payment Service AI Fraud Detection in Banking Product Portfolio
- 6.15.5 SB Payment Service Recent Developments
- 6.16 KPMG
- 6.16.1 KPMG Company Information
- 6.16.2 KPMG Business Overview
- 6.16.3 KPMG AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.16.4 KPMG AI Fraud Detection in Banking Product Portfolio
- 6.16.5 KPMG Recent Developments
- 6.17 NICE Actimize
- 6.17.1 NICE Actimize Company Information
- 6.17.2 NICE Actimize Business Overview
- 6.17.3 NICE Actimize AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.17.4 NICE Actimize AI Fraud Detection in Banking Product Portfolio
- 6.17.5 NICE Actimize Recent Developments
- 6.18 DataVisor
- 6.18.1 DataVisor Company Information
- 6.18.2 DataVisor Business Overview
- 6.18.3 DataVisor AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.18.4 DataVisor AI Fraud Detection in Banking Product Portfolio
- 6.18.5 DataVisor Recent Developments
- 6.19 4Paradigm
- 6.19.1 4Paradigm Company Information
- 6.19.2 4Paradigm Business Overview
- 6.19.3 4Paradigm AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.19.4 4Paradigm AI Fraud Detection in Banking Product Portfolio
- 6.19.5 4Paradigm Recent Developments
- 6.20 Shanghai Shengteng Data Technology
- 6.20.1 Shanghai Shengteng Data Technology Company Information
- 6.20.2 Shanghai Shengteng Data Technology Business Overview
- 6.20.3 Shanghai Shengteng Data Technology AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.20.4 Shanghai Shengteng Data Technology AI Fraud Detection in Banking Product Portfolio
- 6.20.5 Shanghai Shengteng Data Technology Recent Developments
- 6.21 Iflytek
- 6.21.1 Iflytek Company Information
- 6.21.2 Iflytek Business Overview
- 6.21.3 Iflytek AI Fraud Detection in Banking Revenue, Global Share and Gross Margin (2021-2026)
- 6.21.4 Iflytek AI Fraud Detection in Banking Product Portfolio
- 6.21.5 Iflytek Recent Developments
7 North America
- 7.1 North America AI Fraud Detection in Banking Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 7.2 North America AI Fraud Detection in Banking Market Size by Country (2021-2026)
- 7.3 North America AI Fraud Detection in Banking Market Size Forecast by Country (2027-2032)
8 Europe
- 8.1 Europe AI Fraud Detection in Banking Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 8.2 Europe AI Fraud Detection in Banking Market Size by Country (2021-2026)
- 8.3 Europe AI Fraud Detection in Banking Market Size Forecast by Country (2027-2032)
9 Asia-Pacific
- 9.1 Asia-Pacific AI Fraud Detection in Banking Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 9.2 Asia-Pacific AI Fraud Detection in Banking Market Size by Country (2021-2026)
- 9.3 Asia-Pacific AI Fraud Detection in Banking Market Size Forecast by Country (2027-2032)
10 South America
- 10.1 South America AI Fraud Detection in Banking Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 10.2 South America AI Fraud Detection in Banking Market Size by Country (2021-2026)
- 10.3 South America AI Fraud Detection in Banking Market Size Forecast by Country (2027-2032)
11 Middle East & Africa
- 11.1 Middle East & Africa AI Fraud Detection in Banking Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 11.2 Middle East & Africa AI Fraud Detection in Banking Market Size by Country (2021-2026)
- 11.3 Middle East & Africa AI Fraud Detection in Banking Market Size Forecast by Country (2027-2032)
12 Concluding Insights
13 Appendix
- 13.1 Reasons for Doing This Study
- 13.2 Research Methodology
- 13.3 Research Process
- 13.4 Authors List of This Report
- 13.5 Data Source
- 13.5.1 Secondary Sources
- 13.5.2 Primary Sources
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