AI In Fraud Management Market Report 2026

AI In Fraud Management Market Overview

• AI In Fraud Management market size has reached to $15.53 billion in 2025 • Expected to grow to $37.27 billion in 2030 at a compound annual growth rate (CAGR) of 19.2% • Growth Driver: Role In Fraud Management As A Shield For Digital Transactions • Market Trend: Technological Advancements in AI for Fraud Management • North America was the largest region in 2025.

What Is Covered Under AI In Fraud Management Market?

Artificial intelligence (AI) in fraud management refers to the use of advanced technologies, algorithms, and machine learning techniques to detect, prevent, and mitigate fraudulent activities in various domains. The purpose of AI in fraud management is to enhance the detection and prevention of fraudulent activities in real-time, with automating the fraud detection process, increasing efficiency and reducing the time required to identify and respond to fraudulent activities. The main solutions for AI in fraud management are AI-powered fraud prevention software and services. AI-powered fraud prevention software utilizes machine learning models to detect anomalies in customer behaviors and connections, aiding in real-time fraud detection. The enterprise size involved is small and medium enterprises (SMEs) and large enterprises. The various applications involved are identity theft protection, payment fraud prevention, anti-money laundering, and others, which are used by banking, financial services, insurance, IT telecom, healthcare, government, education, retail, and consumer packaged goods (CPG), media and entertainment, and other industries.

What Is The AI In Fraud Management Market Growth Forecast?

The AI in fraud management market size is expected to see rapid growth in the next few years. It will grow to $37.27 billion in 2030 at a compound annual growth rate (CAGR) of 19.2%. The growth in the forecast period can be attributed to advancements in machine learning algorithms, integration of AI with payment platforms, growing investment in fraud prevention solutions, expansion of cloud-based fraud detection systems, increased regulatory compliance requirements. Major trends in the forecast period include real-time fraud detection, predictive risk scoring, automated transaction monitoring, ai-based identity verification, managed fraud detection services.

Global AI In Fraud Management Market Segmentation

1) By Solution: AI-Powered Fraud Prevention Software, Services 2) By Enterprise Size: Small And Medium Enterprises (SMEs), Large Enterprises 3) By Application: Identity Theft Protection, Payment Fraud Prevention, Anti-Money Laundering, Other Applications 4) By Industry: Banking, Financial Services And Insurance, IT And Telecom, Healthcare, Government, Education, Retail And Consumer packaged goods (CPG), Media And Entertainment, Other Industries Subsegments: 1) By AI-Powered Fraud Prevention Software: Real-Time Transaction Monitoring, Fraud Detection And Analysis Tools, Risk Scoring And Assessment Solutions 2) By Services: Consulting Services, Implementation Services, Training And Support Services, Managed Fraud Detection Services

What Is The Driver Of The AI In Fraud Management Market?

The rising popularity of digital payments and cross-border transactions is expected to propel the growth of AI in the fraud management market going forward. Digital payments refer to monetary transactions conducted electronically through mobile devices, computers, or other connected platforms, allowing for secure, cashless, and real-time transfers between individuals and businesses. The popularity of digital payments and cross-border transactions is increasing due to growing convenience, accessibility, and the expansion of fintech platforms and global e-commerce. The AI in the fraud management market supports this growth by leveraging intelligent algorithms and predictive analytics to identify, monitor, and prevent fraudulent activities in large-scale financial ecosystems, ensuring transaction integrity and user trust. For instance, in September 2025, according to JPMorgan Chase & Co., a US-based investment banking company, each day, we move over $10 trillion on 60 million transactions across more than 200 countries and territories in 120 currencies, achieving a 99.5% straight-through processing (STP) rate. Therefore, the rising popularity of digital payments and cross-border transactions is driving the growth of AI in the fraud management market.

Key Players In The Global AI In Fraud Management Market

Major companies operating in the AI in fraud management market are Trusteer; Hewlett Packard Enterprise; BAE Systems plc; Capgemini SE; Cognizant Technology Solutions India Private Limited; SAS Institute Inc.; Splunk Inc.; Temenos AG; Shift Technology SAS; Riskified Ltd.; NICE Actimize Inc.; Jumio Corp.; Onfido Ltd.; Subex Limited; BehavioSec Inc.; Arxan Technologies Inc.; Socure Inc.; ACTICO GmbH; BioConnect Inc.; Matellio Inc.; MaxMind Inc.; Zest AI Inc.; Chargeback.com Inc.; Brighterion Inc.

Global AI In Fraud Management Market Trends and Insights

Major companies operating in the AI fraud management market are focusing on advancing technologies, such as generative AI-facilitated fraud solutions, to enhance real-time defense against increasingly sophisticated financial and identity-based fraud. Generative AI-facilitated fraud solutions apply generative artificial intelligence (AI) models to detect and counter fraudulent behavior by simulating potential attack patterns, identifying anomalies, and adapting in real time to emerging threats. For instance, in October 2023, DataVisor, a US-based fraud and risk detection software company, launched AI Co-Pilot, a generative AI-powered fraud management solution designed to automate fraud detection, reduce false positives, and minimize user friction. The system leverages generative AI to assist analysts by automatically generating and refining detection rules, producing and debugging feature scripts, and providing descriptive insights into detected anomalies. This innovation empowers financial institutions and digital platforms to enhance fraud prevention strategies, maintain seamless customer experiences, and improve overall operational resilience against evolving cyber threats.

What Are Latest Mergers And Acquisitions In The AI In Fraud Management Market?

In September 2023, Capgemini SE, a France-based consulting and technology services company, acquired the Financial Crime Compliance (FCC) division of Exiger LLC for an undisclosed amount. Through this acquisition, Capgemini SE aims to expand its advisory, analytics, and managed-services capabilities in financial crime, risk management, and regulatory compliance, strengthening its ability to help clients detect, prevent, and remediate financial crime across global operations. Exiger LLC is a U.S.-based AI-driven supply chain and third-party risk management software company that provides advisory, analytics, and managed services to help organizations manage financial crime risk.

Regional Insights

North America was the largest region in the AI in fraud management market in 2025. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

What Defines the AI In Fraud Management Market?

The AI in fraud management market includes revenues earned by entities through anomaly detection, machine learning models, predictive maintenance, network analysis, customer profiling, and pattern recognition. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in fraud management market also consists of sales of fraud detection systems, biometric authentication solutions, transaction monitoring platforms, behavioral analytics tools, and predictive maintenance systems. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the AI In Fraud Management Market Report 2026?

The ai in fraud management market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the ai in fraud management industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.