Payment Card Skimming Market Report 2026

The payment card skimming market size has grown rapidly in recent years. It will grow from $3.99 billion in 2025 to $4.49 billion in 2026 at a compound annual growth rate (CAGR) of 12.5%. The growth in the historic period can be attributed to rising incidents of payment fraud, expansion of atm and pos networks, increasing digital payment adoption, regulatory requirements for payment security, availability of anti-skimming hardware solutions.

The payment card skimming market size is expected to see rapid growth in the next few years. It will grow to $6.97 billion in 2030 at a compound annual growth rate (CAGR) of 11.6%. The growth in the forecast period can be attributed to growing adoption of cloud-based fraud prevention tools, expansion of predictive analytics for fraud detection, rising focus on zero-trust security models, increasing integration of iot-enabled security devices, higher investment in payment security innovation. Major trends in the forecast period include increasing deployment of advanced anti-skimming technologies, rising use of ai-based fraud detection systems, growing integration of real-time transaction monitoring, expansion of secure pos and atm infrastructure, enhanced focus on consumer data protection.

The increasing incidents of automated teller machine (ATM) fraud are expected to propel the growth of the payment card skimming market going forward. An automated teller machine (ATM) is a specialized computerized device that enables individuals to perform various banking transactions without human intervention or visiting a physical bank branch. With advancements in technology and the widespread use of ATMs for banking transactions, there has been a significant rise in ATM fraud. Payment card skimming measures protect against fraud and unauthorized access, ensuring the safe operation of automated teller machines (ATMs) and safeguarding users' financial information. These measures include PIN authentication, encryption, surveillance and physical security features. For instance, in April 2025, according to the European Association for Secure Transactions, a UK-based association monitoring payment terminal crime and ATM fraud, terminal-related fraud attacks doubled in 2024 compared with 2023, increasing from 7,115 incidents to 14,664 incidents. Therefore, the increasing incidents of automated teller machine (ATM) financial fraud will drive the growth of the payment card skimming market.

Major companies operating in the payment card skimming market are integrating artificial intelligence, such as generative AI technology, to enhance detection capabilities and bolster security measures for card transactions. Generative AI technology is utilized in skimming prevention by identifying patterns and anomalies in transaction data to detect and mitigate fraudulent activities proactively. For instance, in May 2024, Mastercard Inc., a US-based payment card services corporation, launched a new technology that rapidly scans transaction data from billions of cards and millions of merchants, surpassing previous processing speeds. This system employs Mastercard's generative AI-based predictive technology to detect and alert on emerging fraud patterns, effectively doubling the detection rate of compromised cards, significantly reducing false positives by up to 200% during fraud detection on potentially compromised cards, and accelerating the identification of merchants at risk from or compromised by fraudsters by 300%.

In September 2024, Mastercard Inc., a US-based provider of payment technology and services, acquired Recorded Future for $2.65 billion. This acquisition aims to bolster its cybersecurity and fraud prevention services by integrating advanced threat intelligence technologies to protect merchants and financial institutions against the growing threat of cybercrime, projected to cost the global economy $9.2 trillion by 2024. Recorded Future, a US-based cybersecurity firm, offers valuable tools for combatting payment card skimming.

Major companies operating in the payment card skimming market are Fiserv Inc., NCR Voyix Corporation, Diebold Nixdorf Incorporated, Ingenico Group SA, Verifone Systems Inc., MagTek Inc., ACI Worldwide Inc., Fair Isaac Corporation, IDEMIA Identity & Security, Bluefin Payment Systems LLC, Fortinet Inc., Check Point Software Technologies Ltd., Trend Micro Incorporated, McAfee LLC, CyberArk Software Ltd., Trustwave Holdings Inc., Axis Communications AB, Zebra Technologies Corporation, SAI360 Inc., Matrix IFS Ltd.

North America was the largest region in the payment card skimming market in 2025. The regions covered in the payment card skimming market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the payment card skimming market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The payment card skimming market consists of revenues earned by entities by providing services such as education, training, encryption, fraud monitoring, consulting, and advisory services. The market value includes the value of related goods sold by the service provider or included within the service offering. The payment card skimming market also includes sales of anti-skimming devices, encryption technologies, cybersecurity solutions, and regulatory compliance tools. 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.

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.

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