Prepaid cards are used for many different reasons, from everyday spending to gifts and financial management. Looking at the types of prepaid cards people purchase, reload, or receive can reveal how consumers actually use them in practice. Some cards are bought for personal budgeting, others are given as gifts or incentives, and many serve as practical tools for people who prefer alternatives to traditional bank accounts.
Don’t miss another episode of Truth In Data! Click on the red bell in the lower-left of your screen to receive notifications as soon as the episode publishes.
Data for today’s episode is provided by Javelin Strategy & Research’s Report: 2026 Prepaid Payments Data Book
Prepaid Cards Purchased, Reloaded, or Received in the Past 12 Months
- 72% – Retailer-specific gift card
- 50% – General-purpose non-reloadable prepaid card
- 29% – General-purpose reloadable prepaid card
- 25% – Multi-retailer gift card
Source: Javelin Strategy & Research
About Report
Prepaid card programs continue to expand across multiple sectors, reinforcing their role as an important component of the payments ecosystem. Over the next five years, several prepaid segments are expected to experience steady growth, with many categories projected to achieve annual increases of around 5% or more. Certain areas—including gift cards, gaming-related payments, cash-access alternatives, and commercial incentive programs—are forecast to grow even faster, averaging roughly 8% annually as adoption increases across consumer and business use cases.
Although prepaid products are commonly associated with consumer spending, commercial and government programs account for significant load value and remain an important part of the market. Government-funded programs continue to represent a large share of prepaid volume, though their growth is expected to remain relatively modest compared with other segments. Policy changes, federal funding adjustments, and cost-of-living increases tied to programs such as Social Security and nutritional assistance may influence growth patterns across these categories.
Source link





