Designed to make market research more actionable and strategically valuable, The Business Research Company’s 2026 market reports feature market attractiveness scoring, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, deeper supply chain intelligence, emerging startup tracking, and granular product-level insights.
How Big Is The Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market In 2026, And How Fast Will It Grow?
The artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market has experienced significant expansion in recent years. This market is anticipated to climb from $3.92 billion in 2025 to $4.76 billion in 2026, showcasing a compound annual growth rate (CAGR) of 21.4%. Historically, this growth can be ascribed to increasing digital payment adoption, a rise in instances of POS-related fraud, the broader 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 size is projected to experience substantial growth in the coming years. It is anticipated to reach $10.26 billion in 2030, exhibiting a compound annual growth rate (CAGR) of 21.2%. This growth during the forecast period is fueled by factors such as the greater uptake of AI-powered fraud prevention solutions, heightened regulatory focus on payment security, the expanding landscape of contactless payment systems, increased spending on real-time fraud analytics, and a surging need for scalable cloud-based fraud platforms. Key trends anticipated during this period involve the rising implementation of AI-driven transaction monitoring systems, a growing embrace of behavioral analytics for uncovering fraud, the increased utilization of real-time POS threat intelligence, the broadening of cloud-based fraud prevention platforms, and a strengthened emphasis on mitigating omnichannel fraud.
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Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Growth Driver: The Key Factor Behind Rising Demand
An anticipated increase in digital payment transactions is projected to fuel the expansion of the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market in the future. Digital payment solutions encompass electronic methods and platforms that enable the transfer of funds between individuals or entities without relying on physical currency. The expansion of these solutions stems from increasing smartphone and internet adoption, which in turn enhances the accessibility and convenience of electronic transactions for users. Artificial intelligence (AI)-enhanced point-of-sale (POS) fraud detection strengthens the security of digital payment transactions by performing real-time pattern analysis, thereby efficiently identifying suspicious behaviors. This technology mitigates financial exposure by blocking fraudulent transactions, which consequently boosts confidence and security within payment systems. For example, in January 2024, data from the European Central Bank, a central banking institution based in Germany, indicated that contactless card payments experienced a rise of 24.3% to 20.9 billion in 2023 when contrasted with 2022. Consequently, the increasing volume of digital payment transactions is stimulating the growth of the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market.
Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Segmentation: Key Segments And Subsegments Covered
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 Trends: Key Developments Shaping 2026 And Beyond
Leading companies in the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market are focusing on developing technologically advanced solutions, such as AI-powered fraud detection platforms, to enhance real-time transaction security and prevent financial losses. An artificial intelligence (AI)-powered fraud detection platform is a compact, swift, and efficient system that utilizes artificial intelligence to identify and prevent fraudulent transactions instantaneously, without necessitating heavy computational resources. For instance, in July 2025, Subex Limited, an India-based software company, launched FraudZap, a lightweight, artificial intelligence-powered fraud detection platform tailored for telecom operators to combat rapidly evolving fraud with speed and efficiency. This platform is engineered for exceptional agility and precision, allowing telecom operators to address emerging fraud threats with minimal total cost of ownership and near-zero deployment effort. Its modular architecture supports the rapid implementation of targeted fraud controls, seamlessly integrating real-time rules with continuously learning artificial intelligence models to detect and respond to fraud risks instantly.
Leading Companies Operating In The Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market
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 Regional Analysis: Largest Region And Key Geographies Covered
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.
