The global market for AI Anti-Fraud Service was valued at US$ 15470 million in the year 2024 and is projected to reach a revised size of US$ 28010 million by 2031, growing at a CAGR of 8.8% during the forecast period.
AI Anti-Fraud Service refers to a service that leverages artificial intelligence (AI) technologies to prevent, detect, and mitigate fraudulent activities. This service employs advanced algorithms and machine learning models to analyze large volumes of data in real-time, identifying patterns and anomalies that may indicate fraudulent behavior.
North American market for AI Anti-Fraud Service is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for AI Anti-Fraud Service is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for AI Anti-Fraud Service in BFSI is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of AI Anti-Fraud Service include Eastnets, Feedzai, Resistant AI, NetGuardians, ADVANCE, Sift, Fraud.net, SEON, Sardine, Mastercard Consumer Fraud Risk, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI Anti-Fraud Service, 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 Anti-Fraud Service.
The AI Anti-Fraud Service market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global AI Anti-Fraud Service 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 Anti-Fraud Service companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
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
Segment by Type
Machine Learning-Based Detection
Real-Time Monitoring and Alerting
Others
Segment by Application
BFSI
Government
E-commerce
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
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 Anti-Fraud Service company 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.
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1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI Anti-Fraud Service 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Machine Learning-Based Detection
1.2.3 Real-Time Monitoring and Alerting
1.2.4 Others
1.3 麻豆原创 by Application
1.3.1 Global AI Anti-Fraud Service 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 BFSI
1.3.3 Government
1.3.4 E-commerce
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Anti-Fraud Service 麻豆原创 Perspective (2020-2031)
2.2 Global AI Anti-Fraud Service Growth Trends by Region
2.2.1 Global AI Anti-Fraud Service 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI Anti-Fraud Service Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 AI Anti-Fraud Service Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 AI Anti-Fraud Service 麻豆原创 Dynamics
2.3.1 AI Anti-Fraud Service Industry Trends
2.3.2 AI Anti-Fraud Service 麻豆原创 Drivers
2.3.3 AI Anti-Fraud Service 麻豆原创 Challenges
2.3.4 AI Anti-Fraud Service 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Anti-Fraud Service Players by Revenue
3.1.1 Global Top AI Anti-Fraud Service Players by Revenue (2020-2025)
3.1.2 Global AI Anti-Fraud Service Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Top AI Anti-Fraud Service Players by Company Type and 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Anti-Fraud Service Revenue
3.4 Global AI Anti-Fraud Service 麻豆原创 Concentration Ratio
3.4.1 Global AI Anti-Fraud Service 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Anti-Fraud Service Revenue in 2024
3.5 Global Key Players of AI Anti-Fraud Service Head office and Area Served
3.6 Global Key Players of AI Anti-Fraud Service, Product and Application
3.7 Global Key Players of AI Anti-Fraud Service, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Anti-Fraud Service Breakdown Data by Type
4.1 Global AI Anti-Fraud Service Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global AI Anti-Fraud Service Forecasted 麻豆原创 Size by Type (2026-2031)
5 AI Anti-Fraud Service Breakdown Data by Application
5.1 Global AI Anti-Fraud Service Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global AI Anti-Fraud Service Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America AI Anti-Fraud Service 麻豆原创 Size (2020-2031)
6.2 North America AI Anti-Fraud Service 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI Anti-Fraud Service 麻豆原创 Size by Country (2020-2025)
6.4 North America AI Anti-Fraud Service 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Anti-Fraud Service 麻豆原创 Size (2020-2031)
7.2 Europe AI Anti-Fraud Service 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI Anti-Fraud Service 麻豆原创 Size by Country (2020-2025)
7.4 Europe AI Anti-Fraud Service 麻豆原创 Size by Country (2026-2031)
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 Anti-Fraud Service 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific AI Anti-Fraud Service 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI Anti-Fraud Service 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific AI Anti-Fraud Service 麻豆原创 Size by Region (2026-2031)
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 Anti-Fraud Service 麻豆原创 Size (2020-2031)
9.2 Latin America AI Anti-Fraud Service 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI Anti-Fraud Service 麻豆原创 Size by Country (2020-2025)
9.4 Latin America AI Anti-Fraud Service 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Anti-Fraud Service 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa AI Anti-Fraud Service 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI Anti-Fraud Service 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa AI Anti-Fraud Service 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Eastnets
11.1.1 Eastnets Company Details
11.1.2 Eastnets Business Overview
11.1.3 Eastnets AI Anti-Fraud Service Introduction
11.1.4 Eastnets Revenue in AI Anti-Fraud Service Business (2020-2025)
11.1.5 Eastnets Recent Development
11.2 Feedzai
11.2.1 Feedzai Company Details
11.2.2 Feedzai Business Overview
11.2.3 Feedzai AI Anti-Fraud Service Introduction
11.2.4 Feedzai Revenue in AI Anti-Fraud Service Business (2020-2025)
11.2.5 Feedzai Recent Development
11.3 Resistant AI
11.3.1 Resistant AI Company Details
11.3.2 Resistant AI Business Overview
11.3.3 Resistant AI AI Anti-Fraud Service Introduction
11.3.4 Resistant AI Revenue in AI Anti-Fraud Service Business (2020-2025)
11.3.5 Resistant AI Recent Development
11.4 NetGuardians
11.4.1 NetGuardians Company Details
11.4.2 NetGuardians Business Overview
11.4.3 NetGuardians AI Anti-Fraud Service Introduction
11.4.4 NetGuardians Revenue in AI Anti-Fraud Service Business (2020-2025)
11.4.5 NetGuardians Recent Development
11.5 ADVANCE
11.5.1 ADVANCE Company Details
11.5.2 ADVANCE Business Overview
11.5.3 ADVANCE AI Anti-Fraud Service Introduction
11.5.4 ADVANCE Revenue in AI Anti-Fraud Service Business (2020-2025)
11.5.5 ADVANCE Recent Development
11.6 Sift
11.6.1 Sift Company Details
11.6.2 Sift Business Overview
11.6.3 Sift AI Anti-Fraud Service Introduction
11.6.4 Sift Revenue in AI Anti-Fraud Service Business (2020-2025)
11.6.5 Sift Recent Development
11.7 Fraud.net
11.7.1 Fraud.net Company Details
11.7.2 Fraud.net Business Overview
11.7.3 Fraud.net AI Anti-Fraud Service Introduction
11.7.4 Fraud.net Revenue in AI Anti-Fraud Service Business (2020-2025)
11.7.5 Fraud.net Recent Development
11.8 SEON
11.8.1 SEON Company Details
11.8.2 SEON Business Overview
11.8.3 SEON AI Anti-Fraud Service Introduction
11.8.4 SEON Revenue in AI Anti-Fraud Service Business (2020-2025)
11.8.5 SEON Recent Development
11.9 Sardine
11.9.1 Sardine Company Details
11.9.2 Sardine Business Overview
11.9.3 Sardine AI Anti-Fraud Service Introduction
11.9.4 Sardine Revenue in AI Anti-Fraud Service Business (2020-2025)
11.9.5 Sardine Recent Development
11.10 Mastercard Consumer Fraud Risk
11.10.1 Mastercard Consumer Fraud Risk Company Details
11.10.2 Mastercard Consumer Fraud Risk Business Overview
11.10.3 Mastercard Consumer Fraud Risk AI Anti-Fraud Service Introduction
11.10.4 Mastercard Consumer Fraud Risk Revenue in AI Anti-Fraud Service Business (2020-2025)
11.10.5 Mastercard Consumer Fraud Risk Recent Development
11.11 Cifas
11.11.1 Cifas Company Details
11.11.2 Cifas Business Overview
11.11.3 Cifas AI Anti-Fraud Service Introduction
11.11.4 Cifas Revenue in AI Anti-Fraud Service Business (2020-2025)
11.11.5 Cifas Recent Development
11.12 GFT
11.12.1 GFT Company Details
11.12.2 GFT Business Overview
11.12.3 GFT AI Anti-Fraud Service Introduction
11.12.4 GFT Revenue in AI Anti-Fraud Service Business (2020-2025)
11.12.5 GFT Recent Development
11.13 Hawk
11.13.1 Hawk Company Details
11.13.2 Hawk Business Overview
11.13.3 Hawk AI Anti-Fraud Service Introduction
11.13.4 Hawk Revenue in AI Anti-Fraud Service Business (2020-2025)
11.13.5 Hawk Recent Development
11.14 SymphonyAI
11.14.1 SymphonyAI Company Details
11.14.2 SymphonyAI Business Overview
11.14.3 SymphonyAI AI Anti-Fraud Service Introduction
11.14.4 SymphonyAI Revenue in AI Anti-Fraud Service Business (2020-2025)
11.14.5 SymphonyAI Recent Development
11.15 SB Payment Service
11.15.1 SB Payment Service Company Details
11.15.2 SB Payment Service Business Overview
11.15.3 SB Payment Service AI Anti-Fraud Service Introduction
11.15.4 SB Payment Service Revenue in AI Anti-Fraud Service Business (2020-2025)
11.15.5 SB Payment Service Recent Development
11.16 KPMG
11.16.1 KPMG Company Details
11.16.2 KPMG Business Overview
11.16.3 KPMG AI Anti-Fraud Service Introduction
11.16.4 KPMG Revenue in AI Anti-Fraud Service Business (2020-2025)
11.16.5 KPMG Recent Development
11.17 NICE Actimize
11.17.1 NICE Actimize Company Details
11.17.2 NICE Actimize Business Overview
11.17.3 NICE Actimize AI Anti-Fraud Service Introduction
11.17.4 NICE Actimize Revenue in AI Anti-Fraud Service Business (2020-2025)
11.17.5 NICE Actimize Recent Development
11.18 DataVisor
11.18.1 DataVisor Company Details
11.18.2 DataVisor Business Overview
11.18.3 DataVisor AI Anti-Fraud Service Introduction
11.18.4 DataVisor Revenue in AI Anti-Fraud Service Business (2020-2025)
11.18.5 DataVisor Recent Development
11.19 4Paradigm
11.19.1 4Paradigm Company Details
11.19.2 4Paradigm Business Overview
11.19.3 4Paradigm AI Anti-Fraud Service Introduction
11.19.4 4Paradigm Revenue in AI Anti-Fraud Service Business (2020-2025)
11.19.5 4Paradigm Recent Development
11.20 Shanghai Shengteng Data Technology
11.20.1 Shanghai Shengteng Data Technology Company Details
11.20.2 Shanghai Shengteng Data Technology Business Overview
11.20.3 Shanghai Shengteng Data Technology AI Anti-Fraud Service Introduction
11.20.4 Shanghai Shengteng Data Technology Revenue in AI Anti-Fraud Service Business (2020-2025)
11.20.5 Shanghai Shengteng Data Technology Recent Development
11.21 Iflytek
11.21.1 Iflytek Company Details
11.21.2 Iflytek Business Overview
11.21.3 Iflytek AI Anti-Fraud Service Introduction
11.21.4 Iflytek Revenue in AI Anti-Fraud Service Business (2020-2025)
11.21.5 Iflytek Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
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
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听
*If Applicable.
