Selected research
Industry Growth & Trends
Global AI Fraud Prevention and Detection Industry Growth and Trends Forecast to 2032
Market perspective
According to APO Research, the global AI Fraud Prevention and Detection 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 Prevention and Detection 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 Prevention and Detection 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 Prevention and Detection 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 Prevention and Detection market include Feedzai, Sift, Resistant AI, NetGuardians, ADVANCE, Eastnets, IBM, FICO and FraudNet, 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 Prevention and Detection market, combining harmonized quantitative metrics with targeted qualitative insight to support business and growth strategy, market positioning, and capital allocation.
The AI Fraud Prevention and Detection 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 Prevention and Detection 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 Prevention and Detection.
Key Companies & Market Share Insights
This section analyzes the strategies and performance of leading companies in the global AI Fraud Prevention and Detection 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 Prevention and Detection Market by Company
Feedzai
Sift
Resistant AI
NetGuardians
ADVANCE
Eastnets
IBM
FICO
FraudNet
SEON
SardineAI
Signifyd
Mastercard Consumer Fraud Risk
Featurespace
GFT
Hawk AI
SymphonyAI
SB Payment Service
Forter
NICE Actimize
DataVisor
BioCatch
Jumio
Ant Group
Tencent
Tongdun Technology
Bairong
AI Fraud Prevention and Detection Segment by Type
Supervised Learning
Unsupervised Learning
AI Fraud Prevention and Detection Segment by Application
Banking
E-commerce
Others
AI Fraud Prevention and Detection 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 Prevention and Detection 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 Prevention and Detection 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 Prevention and Detection.
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 Prevention and Detection 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
- Unsupervised Learning
Applications
- Banking
- E-commerce
- Others
Companies covered
- Feedzai
- Sift
- Resistant AI
- NetGuardians
- ADVANCE
- Eastnets
- IBM
- FICO
- FraudNet
- SEON
- SardineAI
- Signifyd
- Mastercard Consumer Fraud Risk
- Featurespace
- GFT
- Hawk AI
- SymphonyAI
- SB Payment Service
- Forter
- NICE Actimize
- DataVisor
- BioCatch
- Jumio
- Ant Group
- Tencent
- Tongdun Technology
- Bairong
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Global Market Growth Prospects
- 1.3 Global AI Fraud Prevention and Detection Market Size Overview by Region 2021 VS 2025 VS 2032
- 1.4 Global AI Fraud Prevention and Detection Market Size by Region (2021-2032)
- 1.4.1 Global AI Fraud Prevention and Detection Market Size by Region (2021-2026)
- 1.4.2 Global AI Fraud Prevention and Detection Market Size by Region (2027-2032)
- 1.5 Key Regions AI Fraud Prevention and Detection Market Size (2021-2032)
- 1.5.1 North America AI Fraud Prevention and Detection Market Size Growth Rate (2021-2032)
- 1.5.2 Europe AI Fraud Prevention and Detection Market Size Growth Rate (2021-2032)
- 1.5.3 Asia-Pacific AI Fraud Prevention and Detection Market Size Growth Rate (2021-2032)
- 1.5.4 South America AI Fraud Prevention and Detection Market Size Growth Rate (2021-2032)
- 1.5.5 Middle East & Africa AI Fraud Prevention and Detection Market Size Growth Rate (2021-2032)
2 AI Fraud Prevention and Detection Market by Type
- 2.1 Type Introduction
- 2.1.1 Supervised Learning
- 2.1.2 Unsupervised Learning
- 2.2 Global AI Fraud Prevention and Detection Market Size by Type
- 2.2.1 Global AI Fraud Prevention and Detection Market Size Overview by Type (2021-2032)
- 2.2.2 Global AI Fraud Prevention and Detection Historic Market Size Review by Type (2021-2026)
- 2.2.3 Global AI Fraud Prevention and Detection Market Size Forecasted by Type (2027-2032)
- 2.3 Global AI Fraud Prevention and Detection Market Size by Regions
- 2.3.1 North America AI Fraud Prevention and Detection Market Size Breakdown by Type (2021-2026)
- 2.3.2 Europe AI Fraud Prevention and Detection Market Size Breakdown by Type (2021-2026)
- 2.3.3 Asia-Pacific AI Fraud Prevention and Detection Market Size Breakdown by Type (2021-2026)
- 2.3.4 South America AI Fraud Prevention and Detection Market Size Breakdown by Type (2021-2026)
- 2.3.5 Middle East and Africa AI Fraud Prevention and Detection Market Size Breakdown by Type (2021-2026)
3 AI Fraud Prevention and Detection Market by Application
- 3.1 Type Introduction
- 3.1.1 Banking
- 3.1.2 E-commerce
- 3.1.3 Others
- 3.2 Global AI Fraud Prevention and Detection Market Size by Application
- 3.2.1 Global AI Fraud Prevention and Detection Market Size Overview by Application (2021-2032)
- 3.2.2 Global AI Fraud Prevention and Detection Historic Market Size Review by Application (2021-2026)
- 3.2.3 Global AI Fraud Prevention and Detection Market Size Forecasted by Application (2027-2032)
- 3.3 Global AI Fraud Prevention and Detection Market Size by Regions
- 3.3.1 North America AI Fraud Prevention and Detection Market Size Breakdown by Application (2021-2026)
- 3.3.2 Europe AI Fraud Prevention and Detection Market Size Breakdown by Application (2021-2026)
- 3.3.3 Asia-Pacific AI Fraud Prevention and Detection Market Size Breakdown by Application (2021-2026)
- 3.3.4 South America AI Fraud Prevention and Detection Market Size Breakdown by Application (2021-2026)
- 3.3.5 Middle East and Africa AI Fraud Prevention and Detection Market Size Breakdown by Application (2021-2026)
4 Global Market Dynamics
- 4.1 AI Fraud Prevention and Detection Industry Trends
- 4.2 AI Fraud Prevention and Detection Industry Drivers
- 4.3 AI Fraud Prevention and Detection Industry Opportunities and Challenges
- 4.4 AI Fraud Prevention and Detection Industry Restraints
5 Competitive Insights by Company
- 5.1 Global Top Players by AI Fraud Prevention and Detection Revenue (2021-2026)
- 5.2 Global AI Fraud Prevention and Detection Industry Company Ranking, 2024 VS 2025 VS 2026
- 5.3 Global AI Fraud Prevention and Detection Key Company Headquarters & Area Served
- 5.4 Global AI Fraud Prevention and Detection Company, Product Type & Application
- 5.5 Global AI Fraud Prevention and Detection Company Commercialization Time
- 5.6 Market Competitive Analysis
- 5.6.1 Global AI Fraud Prevention and Detection Market CR5 and HHI
- 5.6.2 Global Top 5 and 10 AI Fraud Prevention and Detection Players Market Share by Revenue in 2025
- 5.6.3 2025 AI Fraud Prevention and Detection Tier 1, Tier 2, and Tier 3
6 Company Profiles
- 6.1 Feedzai
- 6.1.1 Feedzai Company Information
- 6.1.2 Feedzai Business Overview
- 6.1.3 Feedzai AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.1.4 Feedzai AI Fraud Prevention and Detection Product Portfolio
- 6.1.5 Feedzai Recent Developments
- 6.2 Sift
- 6.2.1 Sift Company Information
- 6.2.2 Sift Business Overview
- 6.2.3 Sift AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.2.4 Sift AI Fraud Prevention and Detection Product Portfolio
- 6.2.5 Sift 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 Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.3.4 Resistant AI AI Fraud Prevention and Detection 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 Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.4.4 NetGuardians AI Fraud Prevention and Detection 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 Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.5.4 ADVANCE AI Fraud Prevention and Detection Product Portfolio
- 6.5.5 ADVANCE Recent Developments
- 6.6 Eastnets
- 6.6.1 Eastnets Company Information
- 6.6.2 Eastnets Business Overview
- 6.6.3 Eastnets AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.6.4 Eastnets AI Fraud Prevention and Detection Product Portfolio
- 6.6.5 Eastnets Recent Developments
- 6.7 IBM
- 6.7.1 IBM Company Information
- 6.7.2 IBM Business Overview
- 6.7.3 IBM AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.7.4 IBM AI Fraud Prevention and Detection Product Portfolio
- 6.7.5 IBM Recent Developments
- 6.8 FICO
- 6.8.1 FICO Company Information
- 6.8.2 FICO Business Overview
- 6.8.3 FICO AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.8.4 FICO AI Fraud Prevention and Detection Product Portfolio
- 6.8.5 FICO Recent Developments
- 6.9 FraudNet
- 6.9.1 FraudNet Company Information
- 6.9.2 FraudNet Business Overview
- 6.9.3 FraudNet AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.9.4 FraudNet AI Fraud Prevention and Detection Product Portfolio
- 6.9.5 FraudNet Recent Developments
- 6.10 SEON
- 6.10.1 SEON Company Information
- 6.10.2 SEON Business Overview
- 6.10.3 SEON AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.10.4 SEON AI Fraud Prevention and Detection Product Portfolio
- 6.10.5 SEON Recent Developments
- 6.11 SardineAI
- 6.11.1 SardineAI Company Information
- 6.11.2 SardineAI Business Overview
- 6.11.3 SardineAI AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.11.4 SardineAI AI Fraud Prevention and Detection Product Portfolio
- 6.11.5 SardineAI Recent Developments
- 6.12 Signifyd
- 6.12.1 Signifyd Company Information
- 6.12.2 Signifyd Business Overview
- 6.12.3 Signifyd AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.12.4 Signifyd AI Fraud Prevention and Detection Product Portfolio
- 6.12.5 Signifyd Recent Developments
- 6.13 Mastercard Consumer Fraud Risk
- 6.13.1 Mastercard Consumer Fraud Risk Company Information
- 6.13.2 Mastercard Consumer Fraud Risk Business Overview
- 6.13.3 Mastercard Consumer Fraud Risk AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.13.4 Mastercard Consumer Fraud Risk AI Fraud Prevention and Detection Product Portfolio
- 6.13.5 Mastercard Consumer Fraud Risk Recent Developments
- 6.14 Featurespace
- 6.14.1 Featurespace Company Information
- 6.14.2 Featurespace Business Overview
- 6.14.3 Featurespace AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.14.4 Featurespace AI Fraud Prevention and Detection Product Portfolio
- 6.14.5 Featurespace Recent Developments
- 6.15 GFT
- 6.15.1 GFT Company Information
- 6.15.2 GFT Business Overview
- 6.15.3 GFT AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.15.4 GFT AI Fraud Prevention and Detection Product Portfolio
- 6.15.5 GFT Recent Developments
- 6.16 Hawk AI
- 6.16.1 Hawk AI Company Information
- 6.16.2 Hawk AI Business Overview
- 6.16.3 Hawk AI AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.16.4 Hawk AI AI Fraud Prevention and Detection Product Portfolio
- 6.16.5 Hawk AI Recent Developments
- 6.17 SymphonyAI
- 6.17.1 SymphonyAI Company Information
- 6.17.2 SymphonyAI Business Overview
- 6.17.3 SymphonyAI AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.17.4 SymphonyAI AI Fraud Prevention and Detection Product Portfolio
- 6.17.5 SymphonyAI Recent Developments
- 6.18 SB Payment Service
- 6.18.1 SB Payment Service Company Information
- 6.18.2 SB Payment Service Business Overview
- 6.18.3 SB Payment Service AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.18.4 SB Payment Service AI Fraud Prevention and Detection Product Portfolio
- 6.18.5 SB Payment Service Recent Developments
- 6.19 Forter
- 6.19.1 Forter Company Information
- 6.19.2 Forter Business Overview
- 6.19.3 Forter AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.19.4 Forter AI Fraud Prevention and Detection Product Portfolio
- 6.19.5 Forter Recent Developments
- 6.20 NICE Actimize
- 6.20.1 NICE Actimize Company Information
- 6.20.2 NICE Actimize Business Overview
- 6.20.3 NICE Actimize AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.20.4 NICE Actimize AI Fraud Prevention and Detection Product Portfolio
- 6.20.5 NICE Actimize Recent Developments
- 6.21 DataVisor
- 6.21.1 DataVisor Company Information
- 6.21.2 DataVisor Business Overview
- 6.21.3 DataVisor AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.21.4 DataVisor AI Fraud Prevention and Detection Product Portfolio
- 6.21.5 DataVisor Recent Developments
- 6.22 BioCatch
- 6.22.1 BioCatch Company Information
- 6.22.2 BioCatch Business Overview
- 6.22.3 BioCatch AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.22.4 BioCatch AI Fraud Prevention and Detection Product Portfolio
- 6.22.5 BioCatch Recent Developments
- 6.23 Jumio
- 6.23.1 Jumio Company Information
- 6.23.2 Jumio Business Overview
- 6.23.3 Jumio AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.23.4 Jumio AI Fraud Prevention and Detection Product Portfolio
- 6.23.5 Jumio Recent Developments
- 6.24 Ant Group
- 6.24.1 Ant Group Company Information
- 6.24.2 Ant Group Business Overview
- 6.24.3 Ant Group AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.24.4 Ant Group AI Fraud Prevention and Detection Product Portfolio
- 6.24.5 Ant Group Recent Developments
- 6.25 Tencent
- 6.25.1 Tencent Company Information
- 6.25.2 Tencent Business Overview
- 6.25.3 Tencent AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.25.4 Tencent AI Fraud Prevention and Detection Product Portfolio
- 6.25.5 Tencent Recent Developments
- 6.26 Tongdun Technology
- 6.26.1 Tongdun Technology Company Information
- 6.26.2 Tongdun Technology Business Overview
- 6.26.3 Tongdun Technology AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.26.4 Tongdun Technology AI Fraud Prevention and Detection Product Portfolio
- 6.26.5 Tongdun Technology Recent Developments
- 6.27 Bairong
- 6.27.1 Bairong Company Information
- 6.27.2 Bairong Business Overview
- 6.27.3 Bairong AI Fraud Prevention and Detection Revenue, Global Share and Gross Margin (2021-2026)
- 6.27.4 Bairong AI Fraud Prevention and Detection Product Portfolio
- 6.27.5 Bairong Recent Developments
7 North America
- 7.1 North America AI Fraud Prevention and Detection Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 7.2 North America AI Fraud Prevention and Detection Market Size by Country (2021-2026)
- 7.3 North America AI Fraud Prevention and Detection Market Size Forecast by Country (2027-2032)
8 Europe
- 8.1 Europe AI Fraud Prevention and Detection Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 8.2 Europe AI Fraud Prevention and Detection Market Size by Country (2021-2026)
- 8.3 Europe AI Fraud Prevention and Detection Market Size Forecast by Country (2027-2032)
9 Asia-Pacific
- 9.1 Asia-Pacific AI Fraud Prevention and Detection Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 9.2 Asia-Pacific AI Fraud Prevention and Detection Market Size by Country (2021-2026)
- 9.3 Asia-Pacific AI Fraud Prevention and Detection Market Size Forecast by Country (2027-2032)
10 South America
- 10.1 South America AI Fraud Prevention and Detection Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 10.2 South America AI Fraud Prevention and Detection Market Size by Country (2021-2026)
- 10.3 South America AI Fraud Prevention and Detection Market Size Forecast by Country (2027-2032)
11 Middle East & Africa
- 11.1 Middle East & Africa AI Fraud Prevention and Detection Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 11.2 Middle East & Africa AI Fraud Prevention and Detection Market Size by Country (2021-2026)
- 11.3 Middle East & Africa AI Fraud Prevention and Detection 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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