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Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Growth Potential: How Will Market Size Shift Through 2030?
The artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market has experienced substantial growth in recent years. It is forecast to increase from $3.92 billion in 2025 to $4.76 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 21.4%. This past growth can be attributed to factors such as increasing digital payment adoption, a rise in POS-related fraud instances, the expansion of retail digitization, the growing use of card-based transactions, and an increased focus on payment security.
The artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market is projected to experience substantial expansion in the coming years, with its size expected to reach $10.26 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 21.2%. This growth in the forecast period is attributed to the increasing adoption of AI-driven fraud prevention solutions, heightened regulatory scrutiny on payment security, the expansion of contactless payment ecosystems, growing investment in real-time fraud analytics, and an increasing demand for scalable cloud fraud platforms. Major trends anticipated during this period include the wider deployment of AI-based transaction monitoring systems, a rising adoption of behavioral analytics for fraud detection, the growing use of real-time POS threat intelligence, the expansion of cloud-based fraud prevention platforms, and an enhanced focus on omnichannel fraud mitigation.
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Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Industry Drivers: What’s Behind The Revenue Growth?
The expansion of the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market is anticipated to be driven by the increasing volume of digital payment transactions. Digital payment solutions refer to electronic methods and platforms that facilitate the transfer of money between parties without using physical cash. This surge in digital payment solutions is fueled by greater smartphone and internet penetration, thereby making electronic transactions more accessible and convenient for users. Artificial intelligence (AI)-enhanced point-of-sale (POS) fraud detection helps secure digital payment transactions by analyzing real-time patterns, making it effective in identifying suspicious activities. It reduces financial risks by preventing fraudulent transactions, improving trust and safety within payment systems. For instance, in January 2024, according to the European Central Bank, a Germany-based central banking institution, the number of contactless card payments rose by 24.3% to 20.9 billion in 2023 compared to 2022. Therefore, the growth of the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market is being propelled by the rise in digital payment transactions.
Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Segment Landscape: Which Areas Lead Development?
The artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market covered in this report is segmented –
1) By Component: Software, Hardware, Services
2) By Solution Type: Fraud Detection, Transaction Monitoring, Identity Verification, Risk And Compliance Management, Other Solution Types
3) By Deployment Mode: On-Premises, Cloud
4) By Organization Size: Small And Medium Enterprises, Large Enterprises
5) By End-User: Retail, Hospitality, Banking And Financial Services, E-commerce, Other End Users
Subsegments:
1) By Software: Transaction Monitoring Software, Fraud Detection Software, Risk Management Software, Behavioral Analytics Software
2) By Hardware: Point-Of-Sale Terminals, Biometric Authentication Devices, Card Readers, Secure Payment Gateways
3) By Services: Fraud Investigation Services, Consulting And Advisory Services, Implementation And Integration Services, Training And Support Services
#Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Growth Trends: What’s Shaping The Future Outlook?
Companies operating in the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market are concentrating on developing advanced technological solutions, including AI-driven fraud detection platforms, to bolster real-time transaction security and prevent financial losses. An artificial intelligence (AI)-powered fraud detection platform is a compact, rapid, and efficient system that utilizes AI to identify and prevent fraudulent transactions in real time without requiring significant computational resources. For example, in July 2025, Subex Limited, an India-based software company, launched FraudZap, a lightweight, artificial intelligence-powered fraud detection platform designed for telecom operators to address rapidly evolving fraud with speed and efficiency. This platform is built for exceptional agility and precision, allowing telecom operators to confront emerging fraud threats with minimal total cost of ownership and nearly zero deployment effort. Its modular architecture supports the quick implementation of targeted fraud controls, seamlessly integrating real-time rules with continuously learning artificial intelligence models to instantly detect and respond to fraud risks.
Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Industry Leaders And Competitive Landscape
Major companies operating in the artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market are Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, PayPal Holdings Inc., Stripe Inc., ClearSale S.A., Jumio Corporation, Feedzai S.A., Signifyd Inc., Matellio Inc., Neural Technologies Ltd., DataVisor Inc., ZestFinance Inc., Hawk AI GmbH, Ginesys, Tookitaki Holding Pte Ltd., ComplyAdvantage Ltd., DataDome SAS, Sift Science Inc., Sardine AI Corp.
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Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Largest Region: Which Geography Holds The Biggest Share?
North America was the largest region in the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.