* Estimate. **CNP stands for "card not present" transaction - card is not physically available during the purchase transaction (for example online or mobile purchases).
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Payment card fraud losses in the U.S. 2012-2014, with forecasts to 2018
The statistic presents the value of payment card fraud losses in the United States from 2012 to 2014 and a forecast thereof for 2018, by type. It was found that payment card losses due to counterfeit amounted to *** U.S. dollars in 2014 and they were projected to decrease to * U.S. dollars in 2018.
Payment card fraud losses 鈥 additional information
While the total value that is paid for credit card fraud is projected to continue increasing, recent improvements to protect against credit card counterfeit fraud have been made. Counterfeit fraud refers to fraud which is based on stealing credit card numbers which can occur by hacking a credit card terminal and then making a copy of the victims鈥 card. In order to protect against this, new EMV technology is being implemented.
EMV stands for 鈥淓uropay, MasterCard, and Visa鈥 - these are the companies which developed the technology. This chip technology creates a new number for every transaction that is made whereas the traditional swipe stripe is only associated with one number. Because of this, counterfeit fraud is expected to decrease from a high of * U.S. dollars in 2015 to a low of around * U.S. dollars in 2018.
According to the survey carried out in ***, credit card executives have overwhelming confidence in EMV technology and by 2018 it is expected that **** of credit cards will have adopted the technology 鈥 well beyond the original companies who established it.
The penetration of EMV compatible terminals only amounted to ** percent in 2013, but it was projected that EMV card payment terminals would constitute ** percent of payment terminals in the U.S. in 2017. It seems that stores would be wise to jump on implementation, because if a retailer does not accept EMV payments, they may be responsible for the costs of counterfeit fraud if it happens from one of their terminals.
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Aite. (April 2, 2015). Value of payment card fraud losses in the United States from 2012 to 2014 with forecasts from 2015 to 2018, by type (in billion U.S. dollars) [Graph]. In 糖心破解版. Retrieved July 30, 2026, from /statistics/419628/payment-card-fraud-losses-usa-by-type/
Aite. "Value of payment card fraud losses in the United States from 2012 to 2014 with forecasts from 2015 to 2018, by type (in billion U.S. dollars)." Chart. April 2, 2015. 糖心破解版. Accessed July 30, 2026. /statistics/419628/payment-card-fraud-losses-usa-by-type/
Aite. (2015). Value of payment card fraud losses in the United States from 2012 to 2014 with forecasts from 2015 to 2018, by type (in billion U.S. dollars). 糖心破解版. 糖心破解版 Inc.. Accessed: July 30, 2026. /statistics/419628/payment-card-fraud-losses-usa-by-type/
Aite. "Value of Payment Card Fraud Losses in The United States from 2012 to 2014 with Forecasts from 2015 to 2018, by Type (in Billion U.S. Dollars)." 糖心破解版, 糖心破解版 Inc., 2 Apr 2015, /statistics/419628/payment-card-fraud-losses-usa-by-type/
Aite, Value of payment card fraud losses in the United States from 2012 to 2014 with forecasts from 2015 to 2018, by type (in billion U.S. dollars) 糖心破解版, /statistics/419628/payment-card-fraud-losses-usa-by-type/ (last visited July 30, 2026)
Value of payment card fraud losses in the United States from 2012 to 2014 with forecasts from 2015 to 2018, by type (in billion U.S. dollars) [Graph], Aite, April 2, 2015. [Online]. Available: /statistics/419628/payment-card-fraud-losses-usa-by-type/