Selected research
Industry Research
AI Fraud Detection Software Industry Research Report 2026
Market perspective
The global AI Fraud Detection Software market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the AI Fraud Detection Software market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the AI Fraud Detection Software market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the AI Fraud Detection Software market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of AI Fraud Detection Software include Feedzai, Kount, Sardine, SEON, Sift, Riskified, Fraudio, Pindrop Security and Mitek, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global AI Fraud Detection Software market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to AI Fraud Detection Software.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
AI Fraud Detection Software Market by Company
Feedzai
Kount
Sardine
SEON
Sift
Riskified
Fraudio
Pindrop Security
Mitek
ComplyAdvantage
SymphonyAI
Accertify
IBM
Entrust
Tongdun Technology
AI Fraud Detection Software Segment by Type
Supervised Learning-based
Unsupervised Learning-based
Graph Neural Network-based
Others
AI Fraud Detection Software Segment by Application
Banking & Payments
Insurtech
E-commerce & Retail
Telecommunications
Government Services
Others
AI Fraud Detection Software Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
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 Software 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 Software 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 volume and 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 Software.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: 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 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments 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 5: 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 6: Detailed analysis of AI Fraud Detection Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South 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 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Supervised Learning-based
- Unsupervised Learning-based
- Graph Neural Network-based
- Others
Applications
- Banking & Payments
- Insurtech
- E-commerce & Retail
- Telecommunications
- Government Services
- Others
Companies covered
- Feedzai
- Kount
- Sardine
- SEON
- Sift
- Riskified
- Fraudio
- Pindrop Security
- Mitek
- ComplyAdvantage
- SymphonyAI
- Accertify
- IBM
- Entrust
- Tongdun Technology
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 AI Fraud Detection Software by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Supervised Learning-based
- 2.2.3 Unsupervised Learning-based
- 2.2.4 Graph Neural Network-based
- 2.2.5 Others
- 2.3 AI Fraud Detection Software by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Banking & Payments
- 2.3.3 Insurtech
- 2.3.4 E-commerce & Retail
- 2.3.5 Telecommunications
- 2.3.6 Government Services
- 2.3.7 Others
- 2.4 Assumptions and Limitations
3 AI Fraud Detection Software Breakdown Data by Type
- 3.1 Global AI Fraud Detection Software Historic Market Size by Type (2021-2026)
- 3.2 Global AI Fraud Detection Software Forecasted Market Size by Type (2027-2032)
4 AI Fraud Detection Software Breakdown Data by Application
- 4.1 Global AI Fraud Detection Software Historic Market Size by Application (2021-2026)
- 4.2 Global AI Fraud Detection Software Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI Fraud Detection Software Market Perspective (2021-2032)
- 5.2 Global AI Fraud Detection Software Growth Trends by Region
- 5.2.1 Global AI Fraud Detection Software Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI Fraud Detection Software Historic Market Size by Region (2021-2026)
- 5.2.3 AI Fraud Detection Software Forecasted Market Size by Region (2027-2032)
- 5.3 AI Fraud Detection Software Market Dynamics
- 5.3.1 AI Fraud Detection Software Industry Trends
- 5.3.2 AI Fraud Detection Software Market Drivers
- 5.3.3 AI Fraud Detection Software Market Challenges
- 5.3.4 AI Fraud Detection Software Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI Fraud Detection Software Players by Revenue
- 6.1.1 Global Top AI Fraud Detection Software Players by Revenue (2021-2026)
- 6.1.2 Global AI Fraud Detection Software Revenue Market Share by Players (2021-2026)
- 6.2 Global AI Fraud Detection Software Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI Fraud Detection Software Head Office and Area Served
- 6.4 Global AI Fraud Detection Software Players, Product Type & Application
- 6.5 Global AI Fraud Detection Software Manufacturers Established Date
- 6.6 Global AI Fraud Detection Software Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI Fraud Detection Software Market Size (2021-2032)
- 7.2 North America AI Fraud Detection Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI Fraud Detection Software Market Size by Country (2021-2026)
- 7.4 North America AI Fraud Detection Software Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe AI Fraud Detection Software Market Size (2021-2032)
- 8.2 Europe AI Fraud Detection Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI Fraud Detection Software Market Size by Country (2021-2026)
- 8.4 Europe AI Fraud Detection Software Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific AI Fraud Detection Software Market Size (2021-2032)
- 9.2 Asia-Pacific AI Fraud Detection Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI Fraud Detection Software Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI Fraud Detection Software Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America AI Fraud Detection Software Market Size (2021-2032)
- 10.2 South America AI Fraud Detection Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI Fraud Detection Software Market Size by Country (2021-2026)
- 10.4 South America AI Fraud Detection Software Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa AI Fraud Detection Software Market Size (2021-2032)
- 11.2 Middle East & Africa AI Fraud Detection Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI Fraud Detection Software Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI Fraud Detection Software Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Feedzai
- 12.1.1 Feedzai Company Information
- 12.1.2 Feedzai Business Overview
- 12.1.3 Feedzai Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.1.4 Feedzai AI Fraud Detection Software Product Portfolio
- 12.1.5 Feedzai Recent Developments
- 12.2 Kount
- 12.2.1 Kount Company Information
- 12.2.2 Kount Business Overview
- 12.2.3 Kount Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.2.4 Kount AI Fraud Detection Software Product Portfolio
- 12.2.5 Kount Recent Developments
- 12.3 Sardine
- 12.3.1 Sardine Company Information
- 12.3.2 Sardine Business Overview
- 12.3.3 Sardine Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.3.4 Sardine AI Fraud Detection Software Product Portfolio
- 12.3.5 Sardine Recent Developments
- 12.4 SEON
- 12.4.1 SEON Company Information
- 12.4.2 SEON Business Overview
- 12.4.3 SEON Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.4.4 SEON AI Fraud Detection Software Product Portfolio
- 12.4.5 SEON Recent Developments
- 12.5 Sift
- 12.5.1 Sift Company Information
- 12.5.2 Sift Business Overview
- 12.5.3 Sift Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.5.4 Sift AI Fraud Detection Software Product Portfolio
- 12.5.5 Sift Recent Developments
- 12.6 Riskified
- 12.6.1 Riskified Company Information
- 12.6.2 Riskified Business Overview
- 12.6.3 Riskified Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.6.4 Riskified AI Fraud Detection Software Product Portfolio
- 12.6.5 Riskified Recent Developments
- 12.7 Fraudio
- 12.7.1 Fraudio Company Information
- 12.7.2 Fraudio Business Overview
- 12.7.3 Fraudio Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.7.4 Fraudio AI Fraud Detection Software Product Portfolio
- 12.7.5 Fraudio Recent Developments
- 12.8 Pindrop Security
- 12.8.1 Pindrop Security Company Information
- 12.8.2 Pindrop Security Business Overview
- 12.8.3 Pindrop Security Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.8.4 Pindrop Security AI Fraud Detection Software Product Portfolio
- 12.8.5 Pindrop Security Recent Developments
- 12.9 Mitek
- 12.9.1 Mitek Company Information
- 12.9.2 Mitek Business Overview
- 12.9.3 Mitek Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.9.4 Mitek AI Fraud Detection Software Product Portfolio
- 12.9.5 Mitek Recent Developments
- 12.10 ComplyAdvantage
- 12.10.1 ComplyAdvantage Company Information
- 12.10.2 ComplyAdvantage Business Overview
- 12.10.3 ComplyAdvantage Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.10.4 ComplyAdvantage AI Fraud Detection Software Product Portfolio
- 12.10.5 ComplyAdvantage Recent Developments
- 12.11 SymphonyAI
- 12.11.1 SymphonyAI Company Information
- 12.11.2 SymphonyAI Business Overview
- 12.11.3 SymphonyAI Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.11.4 SymphonyAI AI Fraud Detection Software Product Portfolio
- 12.11.5 SymphonyAI Recent Developments
- 12.12 Accertify
- 12.12.1 Accertify Company Information
- 12.12.2 Accertify Business Overview
- 12.12.3 Accertify Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.12.4 Accertify AI Fraud Detection Software Product Portfolio
- 12.12.5 Accertify Recent Developments
- 12.13 IBM
- 12.13.1 IBM Company Information
- 12.13.2 IBM Business Overview
- 12.13.3 IBM Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.13.4 IBM AI Fraud Detection Software Product Portfolio
- 12.13.5 IBM Recent Developments
- 12.14 Entrust
- 12.14.1 Entrust Company Information
- 12.14.2 Entrust Business Overview
- 12.14.3 Entrust Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.14.4 Entrust AI Fraud Detection Software Product Portfolio
- 12.14.5 Entrust Recent Developments
- 12.15 Tongdun Technology
- 12.15.1 Tongdun Technology Company Information
- 12.15.2 Tongdun Technology Business Overview
- 12.15.3 Tongdun Technology Revenue in AI Fraud Detection Software Business (2021-2026)
- 12.15.4 Tongdun Technology AI Fraud Detection Software Product Portfolio
- 12.15.5 Tongdun Technology Recent Developments
13 Report Conclusion
14 Disclaimer
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