Global AI Fraud Detection Market Growth (Status and Outlook) 2025-2031

The global AI Fraud Detection market size is predicted to grow from US$ 9658 million in 2025 to US$ 16880 million in 2031; it is expected to grow at a CAGR of 9.8% from 2025 to 2031.

AI Fraud Detection refers to the utilization of artificial intelligence (AI) technologies and algorithms to identify, prevent, and mitigate fraudulent activities. It involves the analysis of large datasets, often in real-time, to detect patterns, anomalies, or behaviors that deviate from normal or expected transactions, indicating potential fraud.

United States market for AI Fraud Detection is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for AI Fraud Detection is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for AI Fraud Detection is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key AI Fraud Detection players cover Eastnets, Feedzai, Resistant AI, NetGuardians, ADVANCE, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “AI Fraud Detection Industry Forecast” looks at past sales and reviews total world AI Fraud Detection sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Fraud Detection sales for 2025 through 2031. With AI Fraud Detection sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Fraud Detection industry.

This Insight Report provides a comprehensive analysis of the global AI Fraud Detection landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Fraud Detection portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Fraud Detection market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Fraud Detection and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Fraud Detection.

This report presents a comprehensive overview, market shares, and growth opportunities of AI Fraud Detection market by product type, application, key players and key regions and countries.

Segmentation by Type:
Supervised Learning-based Fraud Detection
Unsupervised Learning-based Fraud Detection

Segmentation by Application:
BFSI
Government
E-commerce
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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

Please note: The report will take approximately 2 business days to prepare and deliver.