Whalesbook
The Lede
A significant shift is underway in global e-commerce, with merchants increasingly adopting real-time payment (RTP) systems as concerns over fraud rates begin to recede. Visa's 2025 Global eCommerce Payments & Fraud Report reveals that 37 percent of merchants surveyed now offer RTP options, marking a rapid acceleration in adoption. This trend is accompanied by a noticeable decrease in fraud incidents impacting online businesses worldwide.
RTP Momentum Accelerates
The adoption of real-time payments is not just growing; it's accelerating. Visa's report, which surveyed over 1,080 merchants across 38 countries, indicates that nearly 80 percent of merchants already offering RTP have seen a significant rise in customer usage over the past year. Projections for 2025 are equally strong, with almost 90 percent anticipating further growth. Crucially, even merchants not yet offering RTP are considering it, with 42 percent likely to add it within the next 12 months. This makes RTP one of the fastest-expanding payment acceptance methods globally.
Fraud Rates Show Relief
After years of consistent increases, e-commerce merchants are reporting an improvement in their battle against fraud. The report found that fraud rates per order have declined from 3.4 percent to 3.0 percent year-over-year. Similarly, order rejection rates, often a consequence of fraud detection systems, have fallen from 5.8 percent to 5.0 percent. This marks a reversal of a persistent upward trend, offering some relief to online businesses.
Persistent Threats and AI Defense
Despite the overall easing, fraud remains a pervasive challenge, with 98 percent of merchants experiencing some form of fraud in the past year. Common threats include refund and policy abuse (47 percent), real-time payment fraud itself (45 percent), phishing attacks (42 percent), first-party misuse (39 percent), and card testing (32 percent). While first-party misuse continues to be widespread, its rate of sharp increases has slowed. In response, merchants are turning to technology, with over half (56 percent) now utilizing generative AI for fraud management—a sharp rise from 42 percent last year. Adoption is expected to climb to nearly 80 percent by the end of 2025.
Strategic Investments Shift
Merchants are prioritizing spending on fraud management tools and technologies, with 63 percent planning increased investment in this area, compared to only 49 percent planning similar staff investment increases. This indicates a strategic shift towards automation and AI-driven risk mitigation. Alongside fraud control, payment optimization remains critical. Merchants view revenue, authorization rates, payment success, fraud losses, and authentication rates as key performance indicators. To enhance these metrics, six in ten merchants employ tokenization, primarily to reduce data breach risks and improve authorization success.
Impact
This shift towards real-time payments and advanced fraud detection technologies like AI and tokenization can lead to smoother customer experiences, reduced losses for merchants, and potentially lower costs for consumers. For businesses, it signifies an evolution in operational efficiency and security. The increased adoption of technology over human resources in fraud management suggests a trend towards more automated, data-driven risk assessment. This could foster greater trust in online transactions, encouraging further growth in the e-commerce sector globally.
- Impact Rating: 6/10
Difficult Terms Explained
- Real-Time Payments (RTP): Payment systems that allow for the instant transfer of funds between parties, typically completing within seconds.
- First-Party Misuse: Occurs when a legitimate customer engages in fraudulent activity, such as making a purchase with the intent to dispute the charge or abuse return policies.
- Tokenization: A security process that replaces sensitive data (like credit card numbers) with unique, non-sensitive identifiers called tokens, protecting the original data from breaches.
- Generative AI: A type of artificial intelligence capable of creating new content, such as text, images, or code, and used here to detect patterns indicative of fraud.