Card-not-present fraud made up 67% of total card fraud losses in 2023, concentrating the biggest losses in online and other non-swipe transactions. That shift matters because only 0.8% of U.S. credit card accounts were impacted by fraud, yet U.S. payment card fraud losses still reached billions each year. The statistics below track how CNP activity interacts with authentication gaps and card-data theft methods.
Key Takeaways
- 67% of total card fraud losses in 2023 were attributed to card-not-present (CNP) fraud (Nilson Report)
- 0.8% of credit card accounts in the U.S. were impacted by fraud in 2023 (Card industry reporting summarized by PCI SSC)
- $3.6 billion annual losses from payment card fraud in the U.S. per UK/industry summarized by Aite-Novarica cited by Payments Dive
- Total card fraud losses per transaction are reported at 0.026% for the U.S. in 2022 (Nilson data cited)
- In 2023, 52% of fraud managers said fraud prevention needs to be improved due to faster fraud cycles (vendor survey)
- Rule-based fraud systems often require manual review; 30% of alerts are false positives (vendor study)
- ACFE reports that 9% of frauds involve payment cards/financial instruments among fraud schemes (ACFE typology)
- Global card fraud losses are projected to exceed $100 billion by 2025 according to industry forecasts (e.g., Juniper)
- The EU EBA’s RTS for SCA/CSC applies from 14 September 2019, aiming to reduce fraud in electronic payments
- Card-present counterfeit fraud losses fell sharply after EMV adoption in the U.S. according to Federal Reserve research cited by EMVCo
- SCA (Strong Customer Authentication) requirements in the EU apply to eligible e-commerce transactions under PSD2 to reduce fraud
- eCommerce merchant fraud in the EU fell after SCA adoption; 3DS take-up exceeded 90% by 2021 (Card not present 3DS statistics)
- The Anti-Phishing Working Group’s 2024 report documented millions of phishing URLs discovered during the period (APWG Q4 2024 trends), aligning with the threat environment for card-account credential fraud
In 2023, card not present fraud drove 67% of losses, making faster authentication and better defenses essential.
Related reading
01 · Category
Fraud Losses4 stats
01
67% of total card fraud losses in 2023 were attributed to card-not-present (CNP) fraud (Nilson Report)
02
0.8% of credit card accounts in the U.S. were impacted by fraud in 2023 (Card industry reporting summarized by PCI SSC)
03
$3.6 billion annual losses from payment card fraud in the U.S. per UK/industry summarized by Aite-Novarica cited by Payments Dive
04
$1.8 billion in U.S. card fraud losses in 2022 reported by CMSPI (as summarized by Nilson)
Interpretation
Fraud Losses Interpretation
For the “Fraud Losses” category, card-not-present fraud dominates with 67% of total card fraud losses in 2023, even though only 0.8% of U.S. credit card accounts were impacted by fraud that year.
02 · Category
Operational Metrics3 stats
01
Total card fraud losses per transaction are reported at 0.026% for the U.S. in 2022 (Nilson data cited)
02
In 2023, 52% of fraud managers said fraud prevention needs to be improved due to faster fraud cycles (vendor survey)
03
Rule-based fraud systems often require manual review; 30% of alerts are false positives (vendor study)
Interpretation
Operational Metrics Interpretation
For Operational Metrics, the picture is mixed but moving in the wrong direction, with U.S. losses at 0.026% per transaction in 2022 while in 2023 52% of fraud managers reported faster fraud cycles that demand better prevention and rule-based systems still generate 30% false-positive alerts requiring manual attention.
03 · Category
Industry Trends10 stats
01
ACFE reports that 9% of frauds involve payment cards/financial instruments among fraud schemes (ACFE typology)
02
Global card fraud losses are projected to exceed $100 billion by 2025 according to industry forecasts (e.g., Juniper)
03
The EU EBA’s RTS for SCA/CSC applies from 14 September 2019, aiming to reduce fraud in electronic payments
04
Chargeback fraud is increasing; 1 in 4 chargebacks are estimated to involve fraud (industry report)
05
Fraud in first-party data: 2023 Verizon DBIR indicates 74% of breaches involved human element, relevant to card fraud enabling via social engineering
06
Magecart-style skimming still occurs: Magecart groups were tracked in 2024 reports (Fraud prevention vendor)
07
The FBI Internet Crime Complaint Center (IC3) received 880,418 complaints in 2023, totaling about $12.5 billion in reported losses (cybercrime context for payment fraud)
08
The FBI reported 23,299 complaints for 'fraud — credit card/ or account numbers' in 2022 (IC3 category)
09
In the EU, card payments are governed by PSD2 which supports authentication and reduces card-not-present fraud (regulation text)
10
In 2023, counterfeit card fraud continued to be driven by stolen physical card data, with industry reporting indicating counterfeit losses remain a significant sub-component of card fraud after EMV—showing persistent card-data risk
Interpretation
Industry Trends Interpretation
Industry Trends in credit card fraud are intensifying, with 9% of fraud schemes involving payment cards, global losses forecast to top $100 billion by 2025, and chargebacks showing fraud in an estimated 1 in 4 cases.
More related reading
04 · Category
Prevention & Controls5 stats
01
Card-present counterfeit fraud losses fell sharply after EMV adoption in the U.S. according to Federal Reserve research cited by EMVCo
02
SCA (Strong Customer Authentication) requirements in the EU apply to eligible e-commerce transactions under PSD2 to reduce fraud
03
eCommerce merchant fraud in the EU fell after SCA adoption; 3DS take-up exceeded 90% by 2021 (Card not present 3DS statistics)
04
Token requestor authorization via device binding reduces replay attacks; device-bound tokens are recommended by NIST SP 800-63 (identity) relevant to fraud reduction
05
FIDO2 phishing-resistant authentication reduces account takeover risk; FIDO Alliance states that phishing-resistant credentials block most phishing
Interpretation
Prevention & Controls Interpretation
Prevention and controls are clearly working, with card-present counterfeit losses dropping after US EMV adoption and EU SCA driving eCommerce merchant fraud down while 3DS adoption topped 90 percent by 2021.
05 · Category
Risk Exposure1 stats
01
The Anti-Phishing Working Group’s 2024 report documented millions of phishing URLs discovered during the period (APWG Q4 2024 trends), aligning with the threat environment for card-account credential fraud
Interpretation
Risk Exposure Interpretation
In the Risk Exposure category, the APWG 2024 report highlighted that the millions of phishing URLs detected in late 2024 signal a sustained and expanding threat landscape that can rapidly increase credit card fraud exposure.
report visual · Comparison
Where card fraud losses come from
Card-not-present (CNP) fraud accounts for the majority of credit card fraud losses, while only a small share of accounts are impacted.
$3.6 billion annual losses from payment card fraud in the U.S. per UK/industry summarized by Aite-Novarica cited by Paym$3.6 billion
67% of total card fraud losses in 2023 were attributed to card-not-present (CNP) fraud (Nilson Report)
67%
0.8% of credit card accounts in the U.S. were impacted by fraud in 2023 (Card industry reporting summarized by PCI SSC)
0.8%
source-verifiedthepaypers.com · pcisecuritystandards.org · paymentsdive.com2023
Reference
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.
APA
Catherine Wu. (2026, February 13). Credit Card Frauds Statistics. Gitnux. https://gitnux.org/credit-card-frauds-statistics
MLA
Catherine Wu. "Credit Card Frauds Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/credit-card-frauds-statistics.
Chicago
Catherine Wu. 2026. "Credit Card Frauds Statistics." Gitnux. https://gitnux.org/credit-card-frauds-statistics.
Sources & references
23 datasets cited across this report · attribution is report-level
+4 additional datasets cited (not shown individually)