Press release
Role In Fraud Management As A Shield For Digital Transactions Driver: Leading Transformation in the AI In Fraud Management Market in 2025
AI In Fraud Management Market
The surge in the usage of digital payments and global transactions is anticipated to boost the advancement of AI in the market for fraud management. This rise in digital transactions, facilitated by the ability to conduct transactions at any time and from any location via smartphones or computers, calls for the incorporation of AI in fraud management. This is crucial in ensuring the security and reliability of digital payment systems and safeguarding users and enterprises from fraudulent acts. For instance, the National Payments Corporation of India (NPCI), an organization based in India that manages retail payments, reported that the cumulative transaction value of UPI at the conclusion of 2022 was INR 125.95 trillion (USD 1.52 trillion), marking a 1.75 times increase year on year (YoY). Furthermore, UPI transactions' total value represented more than 86% of India's GDP in FY 22. As such, the growing favorability of digital payments and international transactions is fueling the development of AI in the fraud management industry.
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What Is the projected market size and growth rate for the ai in fraud management market?
The market size for AI in fraud management has seen a swift expansion in the latest years. The growth is expected from $13.05 billion in 2024 to $15.64 billion in 2025, at a Compound Annual Growth Rate (CAGR) of 19.8%. This rise during the historic period is due to factors such as escalating cyber threats, data compromise incidents, growing volumes of transactions, the expense of fraud, alongside heightened awareness and education.
The market size for AI in fraud management is anticipated to undergo swift expansion in the coming years. It is projected to reach $31.69 billion in 2029, with a compound annual growth rate (CAGR) of 19.3%. The surge in growth during the forecast period can be associated with the incorporation of AI in business operations, advancements in interpretable AI, the global spread of fraud, ongoing regulatory focus, and the merging of real-time data streams. Key trends during the forecast period encompass swift technological progress, regulatory adherence, team-based fraud detection networks, adoption of behavioral biometrics, and the intersection of AI and blockchain.
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What new trends are reshaping the ai in fraud management market and its opportunities?
Large corporations in the AI fraud management market are placing emphasis on tech advancements like generative AI-aided fraud solutions to enhance real-time fraud prevention. Generative AI fraud solutions make use of generative AI models to produce misleading content such as text, visuals, or audio to facilitate identity theft, monetary frauds, and misinformation. Take for example, DataVisor, an American firm that develops software for fraud and risk detection, unveiled the AI Co-Pilot in October 2023, a fraud solution assisted by generative AI. This distinctive tool employs Generative AI to automate fraud identification, lessen erroneous positives, and decrease user annoyance in real-time. The tool introduces AI Co-Pilot into their methods of fraud prevention and assists financial institutions in enhancing their capability to spot fraudulent behaviour, while providing a steady client experience. Advantages offered by the system include automatic rule adjustment, production and debugging of feature scripts, and creation of rule descriptions.
What major market segments define the scope and growth of the ai in fraud management market?
The AI in fraud management market covered in this report is segmented -
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
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Which region dominates the ai in fraud management market?
North America was the largest region in the AI in fraud management market in 2024. The regions covered in the AI in fraud management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Which key market leaders are driving the ai in fraud management industry growth?
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, Pelican Products Inc., 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.
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What Is Covered In The AI In Fraud Management Global Market Report?
• Market Size Forecast: Examine the ai in fraud management market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the ai in fraud management market for a structured understanding.
• Key Players Overview: Analyze major players in the ai in fraud management market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai in fraud management market.
• Segment Contributions: Evaluate how different segments drive overall growth in the ai in fraud management market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai in fraud management market.
• Industry Challenges: Identify potential risks and obstacles affecting the ai in fraud management market.
• Competitive Landscape: Review strategic developments in the ai in fraud management market, including expansions, agreements, and new product launches.
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