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

Publisher LP Information, Inc.
Published Aug 04, 2025
Length 145 Pages
SKU # LPI20268808

Description

According to this study, the global AI Fraud Detection in Banking market size will reach US$ 3380 million by 2031.

AI Fraud Detection in Banking refers to the application of artificial intelligence techniques—such as machine learning, deep learning, and natural language processing—to identify and prevent fraudulent activities within banking and financial services. These systems analyze vast volumes of transaction data, user behavior, and contextual patterns to detect anomalies, predict potential fraud, and automate alerts in real time.

United States market for AI Fraud Detection in Banking 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 in Banking 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 in Banking 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 in Banking 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 in Banking Industry Forecast” looks at past sales and reviews total world AI Fraud Detection in Banking sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Fraud Detection in Banking sales for 2025 through 2031. With AI Fraud Detection in Banking 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 in Banking industry.

This Insight Report provides a comprehensive analysis of the global AI Fraud Detection in Banking 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 in Banking 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 in Banking market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Fraud Detection in Banking 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 in Banking.

This report presents a comprehensive overview, market shares, and growth opportunities of AI Fraud Detection in Banking 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:
Real-Time Transaction Monitoring
Credit Card & Payment Fraud Prevention
Identity Verification & Biometric Authentication
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.

Table of Contents

145 Pages
*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 AI Fraud Detection in Banking Market Size by Player
4 AI Fraud Detection in Banking by Region
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global AI Fraud Detection in Banking Market Forecast
11 Key Players Analysis
12 Research Findings and Conclusion

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