
Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Report 2026
Global Outlook – By Component (Software, Hardware, Services), By Solution Type (Fraud Detection, Transaction Monitoring, Identity Verification, Risk And Compliance Management, Other Solution Types), By Deployment Mode (On-Premises, Cloud), By Organization Size (Small And Medium Enterprises, Large Enterprises), By End-User (Retail, Hospitality, Banking And Financial Services, E-commerce, Other End Users) – Market Size, Trends, Strategies, and Forecast to 2035
Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
• Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud market size has reached to $3.92 billion in 2025 • Expected to grow to $10.26 billion in 2030 at a compound annual growth rate (CAGR) of 21.2% • Growth Driver: Rise In Digital Payment Transactions Fueling The Growth Of The Market Due To Increasing Accessibility And Convenience • Market Trend: New AI Solution Enhances Real-Time Transaction Security • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.What Is Covered Under Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market?
Artificial intelligence (AI)-enhanced point-of-sale (POS) fraud refers to fraudulent activities targeting point-of-sale systems that are detected, prevented, or exploited using artificial intelligence technologies. It involves the use of advanced algorithms to either commit sophisticated fraud or to identify and mitigate unauthorized transactions in real time. The main components of artificial intelligence (AI)-enhanced point-of-sale (POS) fraud are software, hardware, and services. Software refers to malicious tools that use artificial intelligence to manipulate transactions, mimic legitimate behavior, and evade security systems to steal financial data or money. These solutions are available in various solution types, such as fraud detection, transaction monitoring, identity verification, risk and compliance management, and others, and it can be deployed either on-premises or in the cloud. It is designed to serve organizations of all sizes, including small and medium enterprises and large enterprises, and cater to various end users, such as retail, hospitality, banking and financial services, e-commerce, and other end users.
What Is The Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Size and Share 2026?
The artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market size has grown exponentially in recent years. It will grow from $3.92 billion in 2025 to $4.76 billion in 2026 at a compound annual growth rate (CAGR) of 21.4%. The growth in the historic period can be attributed to increasing digital payment adoption, rising instances of POS-related fraud, expansion of retail digitization, growing use of card-based transactions, increased focus on payment security.What Is The Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Growth Forecast?
The artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market size is expected to see exponential growth in the next few years. It will grow to $10.26 billion in 2030 at a compound annual growth rate (CAGR) of 21.2%. The growth in the forecast period can be attributed to increasing adoption of ai-driven fraud prevention solutions, rising regulatory scrutiny on payment security, expansion of contactless payment ecosystems, growing investment in real-time fraud analytics, increasing demand for scalable cloud fraud platforms. Major trends in the forecast period include increasing deployment of ai-based transaction monitoring systems, rising adoption of behavioral analytics for fraud detection, growing use of real-time pos threat intelligence, expansion of cloud-based fraud prevention platforms, enhanced focus on omnichannel fraud mitigation.Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Segmentation
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 ServicesWhat Is The Driver Of The Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market?
The rise in digital payment transactions is expected to propel the growth of the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market going forward. Digital payment solutions refer to electronic methods and platforms that facilitate the transfer of money between parties without using physical cash. The rise in digital payment solutions is driven by growing 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 patterns in real time, making it effective in identifying suspicious activities. It reduces financial risks by preventing fraudulent transactions, improving trust and safety in 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 rise in digital payment transactions is driving the growth of the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud industry.Key Players In The Global 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.Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Trends and Insights
Major companies operating 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, fast, and efficient system that uses artificial intelligence to identify and prevent fraudulent transactions in real time without requiring 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 tackle 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.What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market?
In December 2024, Visa Inc., a US-based digital payments and financial technology company, acquired Featurespace Limited for $0.945 billion. With this acquisition, Visa aims to enhance its global fraud detection with AI-powered real-time payments protection, enhancing security, reducing financial crime, and providing seamless fraud prevention for clients and consumers. Featurespace Limited is a UK-based company that provides artificial intelligence (AI)-enhanced point-of-sale (POS) fraud prevention.Regional Outlook
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 this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.What Defines the Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market?
The artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market consists of revenues earned by entities by providing services such as system integration, deployment support, training and education, fraud analytics outsourcing, maintenance and upgrades, risk assessment services, and compliance support. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market also includes sales of fraud detection software, transaction monitoring tools, real-time risk scoring engines, behavioural analytics platforms, device fingerprinting systems, alert management dashboards, and anomaly detection systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.How is Market Value Defined and Measured?
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.What Key Data and Analysis Are Included in the Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Report 2026?
The artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market research report is one of a series of new reports from The Business Research Company that provides market statistics, including Market Report 2026?global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai)-enhanced point-of-sale (pos) fraud Market Report 2026? The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the Market Report 2026?Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Report Forecast Analysis
| Report Attribute | Details |
|---|---|
| Market Size Value In 2026 | $4.76 billion |
| Revenue Forecast In 2035 | $10.26 billion |
| Growth Rate | CAGR of 21.4% from 2026 to 2035 |
| Base Year For Estimation | 2025 |
| Actual Estimates/Historical Data | 2020-2025 |
| Forecast Period | 2026 - 2030 - 2035 |
| Market Representation | Revenue in USD Billion and CAGR from 2026 to 2035 |
| Segments Covered | Component, Solution Type, Deployment Mode, Organization Size, End-User |
| Regional Scope | Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa |
| Country Scope | The countries covered in the report are Australia, Brazil, China, France, Germany, India, ... |
| Key Companies Profiled | 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. |
| Customization Scope | Request for Customization |
| Pricing And Purchase Options | Explore Purchase Options |
