Navigating the Technology Market for Solutions to Prevent Transaction Fraud

Jennie Berry
Jennie Berry
Stacy Schulman
Stacy Schulman
Chief Marketing Officer
Navigating the Technology Market for Solutions to Prevent Transaction Fraud - Liminal Article

Transaction fraud can lead to significant financial losses and impact the reputation of an e-commerce business. It involves fraudulent activities like social engineering scams, account takeovers, chargebacks, and payment fraud.

First-party and third-party fraud have become more sophisticated in recent years as criminals adopt AI. Implementing robust fraud prevention measures is critical to maintaining customer trust and ensuring business continuity. As online shopping becomes more prevalent, the importance of transaction fraud prevention solutions cannot be overstated. Businesses must invest in advanced fraud prevention solutions to detect and prevent fraudulent transactions. 

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Market outlook:

Liminal forecasts that the total addressable market (TAM) will increase from $7.1 billion in 2024 to $11.6 billion by 2028, exhibiting a compound annual growth rate (CAGR) of 12.9%. Several factors influence the market for transaction fraud prevention in e-commerce. The increasing incidences of online fraud and the rising popularity of online shopping drive demand for more effective solutions. Plus, the high cost of advanced fraud prevention systems and the need for technical expertise to implement and manage these systems are challenges that businesses must overcome. However, the overall trend indicates a growing awareness of the importance of fraud prevention and a willingness to invest in it, signaling a positive outlook for the market.

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How transaction fraud works: 

Fraud prevention solutions use various techniques to identify and prevent fraudulent transactions. These include machine learning algorithms, pattern recognition, and behavioral analytics. To identify potential fraud, these tools analyze many data points, such as customer behavior, transaction patterns, and network characteristics. When a suspicious transaction is detected, the system can block it automatically or alert the business for further investigation. This proactive approach helps businesses minimize their exposure to fraud and ensure a safe shopping environment for their customers.

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