Press release
Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Trends That Will Shape the Next Decade: Insights from New AI Solution Enhances Real-Time Transaction Security
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 Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Industry Market Size Be by 2025?
Recent years have seen a dramatic rise in the market size for the artificial intelligence (AI)-improved point-of-sale (POS) fraud. Projected to grow from $3.22 billion in 2024 to $3.92 billion in 2025, with a compound annual growth rate (CAGR) of 21.6%, this surge can be traced back to rising instances of cyber fraud, an increased volume of digital payment transactions, elevated regulatory compliance demands, escalating financial losses due to fraudulent retail transactions and an increased uptake of online and mobile payment platforms.
What's the Long-Term Growth Forecast for the Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Size Through 2029?
The market for AI-powered POS fraud detection systems is projected to surge remarkably in the coming years, expanding to a worth of $8.47 billion by 2029 with a CAGR of 21.2%. This growth trajectory during the forecast period is credited to various factors such as the proliferation of digital payments and e-commerce, increased regulatory norms for fraud prevention, the urgent demand for immediate, cross-channel fraud recognition, growing instances of digital payment fraud, and the upswing in small and medium enterprises' (SMEs) implementation due to the scalability of AI solutions. Significant trends to watch during the forecast period include the design of adaptive fraud models, the evolution of real-time transaction surveillance, the incorporation of behavioral analytics, the creation of innovative deep learning algorithms and advancement in decentralized fraud detection schemes.
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What Are the Key Growth Drivers Fueling the Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Expansion?
The surge in digital payment transactions is propelling the market growth due to enhanced accessibility and convenience.
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Which Emerging Trends Are Transforming the Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market in 2025?
Leading firms in the AI-enhanced point-of-sale (POS) fraud market are concentrating on creating technologically superior products, like AI-enabled fraud detection platforms for increasing real-time transaction safety and minimizing financial losses. This AI-enabled fraud detection system is a streamlined, quick, and functional system that deploys artificial intelligence to recognize and halt fraudulent transactions as they happen, without the need for extensive computational resources. As an example, Subex Limited, a software firm based in India, introduced FraudZap in July 2025. This AI-driven fraud detection platform is lightweight and designed specifically for telecom operators to address increasingly complex fraud threats swiftly and efficiently. Its design boasts remarkable adaptability and accuracy, enabling telecom operators to handle new fraud threats with minimum ownership cost and almost no deployment effort. Its modular design facilitates speedy establishment of specific fraud controls, effortlessly combining real-time rules with artificial intelligence models that learn continuously, to detect and address fraud risks immediately.
How Is the Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Segmented?
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
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Which Companies Are Leading the Charge in Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Innovation?
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., and Sardine AI Corp.
Which Regions Are Leading the Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market in Revenue?
North America was the largest region in the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-enhanced point-of-sale (POS) fraud report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
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