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AI In Fraud Management Market: Major Trends Reshaping the Future of the Industry
"Use code ONLINE30 to get 30% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shifts.What Will the AI In Fraud Management Industry Market Size Be by 2025?
The market size for AI in fraud management has seen swift expansion in the recent past. The market, valued at $13.05 billion in 2024, is projected to rise to $15.64 billion in 2025, representing a compound annual growth rate (CAGR) of 19.8%. The historical growth was propelled by factors such as the rise in cyber threats, data violations, a surge in transaction volumes, cost of fraud, and an increase in awareness and education.
What's the Long-Term Growth Forecast for the AI In Fraud Management Market Size Through 2029?
Over the coming years, the market size of AI in fraud management is projected to experience rapid expansion, reaching a value of $31.69 billion by 2029 with a compound annual growth rate (CAGR) of 19.3%. This growth during the forecast period can be credited to the merging of AI in business procedures, the progression of explainable AI, the global spread of fraud, ongoing regulatory focus, and the integration of real-time data feeds. The key trends anticipated during the forecast period involve accelerated technological advancements, regulatory compliance, coordination of fraud detection networks, adoption of behavioural biometrics, and the merging of AI and blockchain technology.
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What Are the Key Growth Drivers Fueling the AI In Fraud Management Market Expansion?
The escalating acceptance of online payments and international transfers is anticipated to fuel the expansion of AI in the fraud management sector. The surge in the use of digital payments and international transactions is primarily due to convenience, enabling customers to perform transactions anytime, anywhere, using smartphones or computers. The incorporation of AI in fraud management is key to preserving the safety and reliability of digital payment systems and safeguarding users and businesses from deceitful activities. For instance, as per the National Payments Corporation of India (NPCI), an organization based in India that handles retail payments, the cumulative transaction value of UPI at the end of the calendar year 2022 amounted to INR 125.95 trillion (USD 1.52 trillion), noting a growth of 1.75 times compared to the previous year. Furthermore, the total value represented by UPI transactions accounted for more than 86% of India's GDP in FY 22. Hence, the burgeoning popularity of online payments and international transfers contributes to the growth of AI in the fraud management sector.
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What Are the Key Trends Driving AI In Fraud Management Market Growth?
Leading businesses in the AI fraud management market are emphasizing on technological improvements, such as a generative AI-driven fraud solution, for enhancing real-time fraud protection. This particular technique employs generative AI models to produce misleading content like text, images, or voices for identity theft, financial , and disinformation. For example, in October 2023, DataVisor, an American fraud and risk detection software development company, introduced the AI Co-Pilot, a generative AI-driven fraud solution. This innovative tool uses Generative AI technology to automate fraud detection, decrease inaccurate positives, and minimize real-time user friction. The tool integrates AI Co-Pilot into their fraud prevention practices and financial institutes to boost their capacity to recognize fraudulent activities while preserving a consistent customer experience. It offers benefits like automatic adjustment of rules, production and debugging of feature script, and generation of rule description.
How Is the AI In Fraud Management Market Segmented?
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 Companies Are Leading the Charge in AI In Fraud Management Market Innovation?
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.
Which Regions Are Leading the Global AI In Fraud Management Market in Revenue?
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.
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