Key Takeaways
- Global credit card issuer base was 2.8 billion cards in circulation in 2023
- Visa network processed 262 billion credit card transactions globally in fiscal 2023
- U.S. banks issued 1.15 billion general-purpose credit cards as of 2023, up 4% YoY
- In 2023, 83% of U.S. adults aged 18-29 reported using credit cards regularly for everyday purchases
- Average U.S. credit card holder made 120 transactions per year in 2023, with 65% contactless
- 42% of global consumers prefer credit cards for online shopping in 2024 surveys, ahead of debit
- U.S. credit card interest rates averaged 21.5% APR in Q4 2023, highest in 20 years
- Total U.S. credit card debt hit $1.144 trillion in Q4 2023, up 10.7% YoY
- 49% of U.S. cardholders carried revolving balances averaging $7,321 in 2023
- Global credit card fraud losses totaled $35.2 billion in 2023, up 18% from 2022
- U.S. credit card fraud accounted for 65% of all payment card fraud, costing $12.5 billion in 2023
- 1 in 200 U.S. credit card transactions was fraudulent in 2023, primarily account takeover fraud
- In 2023, global credit and charge card purchase volume reached $12.35 trillion, marking a 9.2% increase from 2022
- U.S. credit card issuers earned $167 billion in total revenue in 2023, with interest income accounting for 58% of that figure
- The global credit card market size was valued at $2.45 trillion in 2024 and is projected to grow at a CAGR of 5.8% to reach $3.72 trillion by 2032
In 2023, 2.8 billion cards powered 262 billion global transactions, with losses rising to $35.2 billion fraud.
Card Issuance and Networks
Card Issuance and Networks Interpretation
Consumer Usage and Behavior
Consumer Usage and Behavior Interpretation
Debt and Financial Impact
Debt and Financial Impact Interpretation
Fraud and Security
Fraud and Security Interpretation
Market Size and Growth
Market Size and Growth Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Lars Eriksen. (2026, February 13). Credit Card Industry Statistics. Gitnux. https://gitnux.org/credit-card-industry-statistics
Lars Eriksen. "Credit Card Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/credit-card-industry-statistics.
Lars Eriksen. 2026. "Credit Card Industry Statistics." Gitnux. https://gitnux.org/credit-card-industry-statistics.
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