The China market dominated the Asia Pacific Payment Card Skimming Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $451.4 million by 2030. The Japan market is registering a CAGR of 9.9% during (2023 - 2030). Additionally, The India market would showcase a CAGR of 11.2% during (2023 - 2030).
ML algorithms and artificial intelligence (AI) techniques are being deployed to analyze vast amounts of transaction data, detect patterns indicative of fraudulent activity, and identify anomalies or deviations from normal behavior. By leveraging machine learning and AI capabilities, financial institutions and payment processors can detect and prevent real-time skimming attacks, enabling proactive intervention and fraud mitigation.
Also, blockchain technology offers inherent security features, such as cryptographic encryption, decentralized consensus mechanisms, and immutable transaction records, making it resistant to tampering and fraud. By leveraging blockchain technology, payment systems can enhance transparency, traceability, and trust in financial transactions, reducing the risk of payment card skimming and enhancing the integrity of payment networks. Blockchain-based payment solutions offer enhanced security and resilience against cyber threats, providing consumers and businesses with greater confidence in the safety and reliability of digital payments.
With the rise in cyber scams, including phishing, identity theft, and online fraud, there is likely to be increased awareness among businesses and consumers in Singapore about the importance of cybersecurity measures, including protection against it. As per the State Council Information Office of the People's Republic of China, 2021 e-commerce transactions in China surged by 19.6%, reaching a transaction volume of 42.3 trillion yuan (approximately 6.15 trillion U.S. dollars). Additionally, China plans to designate 14 e-commerce industrial parks as e-commerce demonstration bases, bringing the total number to 155. Hence, the increasing e-commerce transactions and growing cybercrimes in the region propel the market's growth.
Based on Organization Size, the market is segmented into Large Enterprise, and Small & Medium-Sized Enterprises. Based on Deployment Type, the market is segmented into On-Premise, and Cloud. Based on Application, the market is segmented into Identity Theft, ATMs, Payment Fraud, Money Laundering, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
List of Key Companies Profiled
- Fiserv, Inc. (Clover Network, Inc.)
- InvestEdge, Inc. (Featheringill Capital)
- C2C SmartCompliance LLC
- Sesame Software (Speridian Technologies)
- SAI360 Inc. (BWise)
- Matrix IFS (Matrix Business IT)
- Rivial Data Security LLC
- Riskskill
- Compliance Forge, LLC
- NCR Atleos Corporation (NCR Corporation)
Market Report Segmentation
By Component- Solution
- Services
- Large Enterprise
- Small & Medium-Sized Enterprises
- On-Premises
- Cloud
- Identity Theft
- ATMs
- Payment Fraud
- Money Laundering
- Others
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Table of Contents
Companies Mentioned
- Fiserv, Inc. (Clover Network, Inc.)
- InvestEdge, Inc. (Featheringill Capital)
- C2C SmartCompliance LLC
- Sesame Software (Speridian Technologies)
- SAI360 Inc. (BWise)
- Matrix IFS (Matrix Business IT)
- Rivial Data Security LLC
- Riskskill
- Compliance Forge, LLC
- NCR Atleos Corporation (NCR Corporation)
Methodology
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