Credit Card Fraud Statistics: Losses to Explode $41 Billion by 2025!

As someone who has closely followed the evolution of digital transactions over the years, I’ve witnessed how credit card fraud has transformed. What was once a relatively straightforward issue has now become a complex and rapidly evolving threat.

Drawing on my experience and in-depth analysis, I’ve uncovered key statistics and trends that shed light on the current state of credit card fraud.

According to CSN Annual Data Book 2023 Federal Trade Commission (FTC) received 416,582 reports of credit card fraud, ranking as number 1 in identity theft types Underscoring its prevalence as one of the most common types of fraud in the U.S.

Driving from these stats:

VPNRanks predicts that financial losses from credit card fraud could surpass $41 billion by 2025.

This report not only highlights the challenges we face today but also provides insights into what we can expect in the coming years, emphasizing the critical need for stronger security measures to protect consumers and businesses alike.

Credit Card Fraud Statistics 2024-2025: Key Findings by VPNRanks

I’ve analyzed historical data and emerging trends to reveal critical insights into the growing threat of credit card fraud. These findings highlight the urgent need for stronger security measures as digital transactions continue to rise.

Estimated Global Losses from Credit Card Fraud

According to Techopedia, global credit card fraud has been escalating rapidly due to the relentless growth of online transactions and the continuous evolution of cybercriminal strategies.

Historical Analysis of the Credit Card losses Over the Years

The historical analysis of credit card losses reveals a steady increase over the years, driven by the rapid growth of digital transactions and evolving fraud techniques.

2018 Findings

• The estimated global loss due to credit card fraud was $27.9 billion.

2020 Findings

• This figure rose to $28.4 billion, reflecting a gradual increase.

The modest increase reflected ongoing fraud activities despite improvements in security technologies. The COVID-19 pandemic played a role as more people shifted to online shopping, presenting new opportunities for fraudsters.

2022 Findings

• Losses surged to $33.5 billion, indicating the growing scale of fraud.

This sharp rise was driven by the rapid growth of e-commerce, increasing reliance on digital payment methods, and the persistent evolution of sophisticated fraud techniques. Cybercriminals exploited vulnerabilities in online platforms, leading to higher fraud incidents.

Predictions by VPNRanks

This estimate considers the continued expansion of e-commerce, the introduction of new financial technologies that may have yet-to-be-discovered vulnerabilities, and the lag in the widespread adoption of advanced security measures across all sectors.

2024 Estimate

• Losses are expected to reach approximately $38 billion. (Based on trends and the continuation of fraud techniques)

2025 Prediction

• It is projected that losses could exceed $41 billion.

Justification of Prediction:

This prediction is based on the assumption that while security measures will continue to improve, the increasing sophistication of fraud schemes and the expansion of digital payments into emerging markets (where security infrastructure may be weaker) will contribute to higher losses.
Additionally, as technology evolves, so do the methods employed by cybercriminals, leading to a continuous challenge in keeping fraud at bay.

The staggering global losses from credit card fraud in recent years have raised red flags across the financial sector. With losses expected to exceed $41 billion by 2025, the need for enhanced security measures and awareness is more pressing than ever.

To fully grasp the scope of this issue, it’s crucial to examine how these losses are distributed regionally, as different parts of the world face unique challenges in combating credit card fraud.

Regional Breakdown of Credit Card Fraud

The impact of credit card fraud varies greatly across different regions, and it is influenced by the pace of digital transformation and the robustness of cybersecurity measures. Understanding these regional disparities is key to developing effective strategies to combat the rising threats in each area.

North America: Emerging Credit Card Fraud Trends Patterns

North America remains a prime target for credit card fraud due to its high volume of digital transactions and widespread credit card usage. Advanced cybersecurity measures have mitigated some risks, but the region continues to face significant challenges due to the persistent evolution of fraud techniques.

Historical Analysis of the Credit Card losses in North America Over the Years

Despite a slight dip in the percentage of victims since 2022 (from 65% to 60% in 2024), the median expenditure per fraudulent charge spiked by 26%, indicating a rise in the severity of fraud incidents.

2023 Findings

• Fraudulent Transactions: $466 million (via credit or debit cards)
• Fraud Reports: 197,785.

Predictions by VPNRanks

These estimations are based on the continuous rise in sophisticated fraud techniques and a steady card usage volume in digital transactions.

2024 Estimation

• Fraudulent Transactions: $520 million (via credit or debit cards)
• Fraud Reports: 210,000.

Despite a slight decline in the percentage of affected cardholders, the median fraudulent charge amount is expected to remain high, contributing to an overall increase in financial losses.

2025 Prediction

• Fraudulent Transactions: $580 million (via credit or debit cards)
• Fraud Reports: potentially surpassing 230,000 cases.

Justification for 2025 Prediction

The prediction for 2025 is based on the ongoing trends of increasing sophistication in fraud techniques and the expansion of digital transactions. As more consumers and businesses adopt new technologies, fraudsters will have more opportunities to exploit vulnerabilities, leading to higher total losses despite possible improvements in security measures.

The continued rise in the median expenditure per fraudulent charge suggests that while fewer people might be affected, the financial impact of each incident is becoming more severe, driving up overall losses.

Sources

• Techopedia

Europe: Uncovering Shifts in Credit Card Fraud

Europe has experienced fluctuating trends in credit card fraud, influenced by the region’s evolving digital landscape and regulatory measures.

Historical Analysis of the Credit Card in Europe losses Over the Years

Over the years, credit card losses in Europe have shown a decline, particularly following the implementation of stronger security measures and regulations across the region.

2020 Findings:

• Fraudulent card transactions reported: €1.72 billion
• Percentage share of fraudulent transactions as compared to the total value of transactions: 036%

2021 Findings:

• Fraudulent card transactions reported: €1.53 billion (an 11% decrease from 2020)
• Percentage share of fraudulent transactions as compared to total value of transactions: 0.028% (dropped)

Predictions by VPNRanks

Considering the trend of declining fraud rates in 2020 and 2021, it is estimated that the total value of fraudulent card transactions in Europe might further decrease.

2024 Estimation:

• Fraudulent card transactions reported: €1.45

This estimation reflects the continuation of improved security measures and awareness among consumers and businesses across the region.

2025 Prediction:

• Fraudulent card transactions reported: Could stabilize or decrease slightly to around €1.40 billion.

This projection is based on the expectation that ongoing advancements in cybersecurity, combined with enhanced regulatory frameworks, will continue to mitigate the risk of card fraud across the EU.

Justification for 2025 Prediction:

The downward trend observed in recent years, coupled with continued investments in fraud prevention and cybersecurity, supports the prediction that Europe will see a further reduction in fraudulent transactions.

The effectiveness of these measures, increasing public awareness and adopting stronger regulatory standards, is likely to sustain this decline into 2025.

As we explore these regional differences, it’s also important to look at the types of credit card fraud that are most common, regardless of geography.

Sources

• Techopedia

Which Types of Credit Card Fraud Are Set to Rise?

Understanding the various types of credit card fraud is key to developing effective prevention strategies. From Card-Not-Present (CNP) fraud to identity theft, each type poses distinct risks and requires specific countermeasures. These different fraud types also impact different age groups in varying ways, which brings us to an important consideration: the relationship between credit card fraud and age.

Card-Not-Present (CNP) Fraud

Fraud where the physical card is not required, often occurring in online transactions. Card-Not-Present (CNP) fraud has become a prevalent issue in the digital economy. This type of fraud poses significant risks to consumers and financial institutions, as it is harder to detect and prevent.

Historical Analysis of Card-Not-Present (CNP) Fraud Over the Years

Card-Not-Present (CNP) fraud has consistently increased over the years, driven by the growth of e-commerce and online transactions, making it one of the fastest-growing types of credit card fraud.

EU Data (2021):

• Majority of card fraud related to CNP transactions.
• CNP fraud accounted for 84% of total card fraud value in 2020 and 2021.

2023 U.S. Reports:

• 13,718 cases of online credit card or check fraud.
• $174 million lost to CNP or check fraud.

2024 U.S. Data:

• 93% of fraudulent charges involved cards still in the owner’s possession.
• CNP fraud in the U.S: around $190 million (VPNRanks estimation)

Predictions by VPNRanks

Even as security technologies improve, the volume of transactions and the creativity of cybercriminals suggest that CNP fraud will remain a major issue.

2025 Prediction

• CNP fraud in the U.S : Could exceed $200, with a similar upward trend expected in the EU.

Justification for 2025 Prediction

The 2025 prediction is based on the expected growth in digital payments and e-commerce, which provides more opportunities for fraudsters to exploit CNP vulnerabilities.

Sources

• European Central Bank (ECB)
• Security.Org
• Techopedia

Card-Present Fraud

Card-present fraud occurs when fraudsters physically possess the card to carry out their crimes, commonly through methods like skimming and cloning.

Historical Analysis of Card-Present Fraud Over the Years

Historic data shows Card-present fraud has seen a decline over the years.

2021 EU Data:

• €74 million in card-present fraud at ATMs.
• €177 million in card-present fraud at POS terminals.
• Overall, card-present fraud at ATMs and POS terminals declined by 6% compared to 2020.
• This decline follows a significant 28% drop in 2020 compared to 2019.
• Lost or stolen cards were the main type of card-present fraud, accounting for 88% of ATM fraud and 56% of POS fraud.

Predictions by VPNRanks

This decline is expected as a result of increased adoption of chip-and-PIN technology and stronger regulatory measures aimed at reducing physical card fraud.

2024 Estimation

• Could further decline to approximately €65 million at ATMs and €160 million at POS terminals.

2025 Prediction

• Could reduce even further to around €60 million at ATMs and €150 million at POS terminals.

This ongoing decline is anticipated due to the widespread implementation of contactless payments and continued improvements in card security technologies.

Justification for 2025 Prediction

The prediction for 2025 is based on the consistent downward trend observed in recent years, driven by advancements in card security and the adoption of more secure payment technologies, such as EMV chips and contactless payments. Additionally, enhanced monitoring and regulatory frameworks across the EU are expected to further curb the incidence of card-present fraud.

Sources

• European Central Bank (ECB)
• Techopedia

Identity Theft and Account Takeover

Identity theft, particularly involving credit card fraud, was the most common type of identity theft reported in the U.S. in 2023. The FTC received 416,582 reports from individuals whose information was misused to open new credit card accounts or alter existing ones without permission.

Historical Analysis of Identity Theft from 2023

• Total Reports: 416,582 credit card-related identity theft cases.
• New Accounts: 381,122 reports, a 7% decrease from 2022.
• Existing Accounts: 44,855 reports, a 14% increase from 2022.

Age Group Breakdown

The 30-39 age group reported the most cases, with 122,246 reports, reflecting their active engagement in digital financial activities, which also makes them prime targets for identity theft.

Predictions by VPNRanks

With a slight increase in existing account takeovers due to the growing sophistication of cybercriminals.

2024 Estimation

• Reports could reach around 430,000

2025 Prediction

• Reports could exceed 450,000, with a notable rise in both new and existing account fraud.

The increase is expected as cybercriminals continue to refine their techniques, targeting a broader range of consumers.

Justification for 2025 Prediction

The prediction for 2025 is based on the continuing advancement of cybercrime tactics and the increased digitization of financial services. As more consumers rely on online banking and digital financial management, the potential for identity theft and account takeovers is likely to rise, leading to higher reported cases.

Sources

• Techopedia

Online and E-commerce Fraud

Online and e-commerce fraud in credit card fraud involves unauthorized transactions made during online purchases, where the physical card is not required. This type of fraud has surged with the growth of digital shopping, making it a significant concern for consumers and businesses.

Historical Analysis of Online and E-commerce Fraud Over the Years

Online and e-commerce fraud remains a critical issue, with consumers reporting 368,379 cases related to online shopping and negative reviews in 2023.

2023 Reports:

• 368,379 fraud cases related to online shopping.
• $392 million in total losses.
• Median loss per case: $125.
• 9% of global e-commerce revenue lost to payment fraud in 2023, down from 3.6% in 2022.
• Domestic e-commerce fraud rate: 2.6% in 2023 (down from 3.1% in 2022).
• International e-commerce fraud rate: 3.0% in 2023 (down from 3.4% in 2022).
• Chargebacks due to fraud: 2.6% of orders in 2023 (down from 3.1% in 2022).

Fraud Management Spending:

• Merchants globally spent about 10% of annual e-commerce revenue on managing payment fraud.
• SMBs (with $50,000 to $5 million in sales) doubled their spending on fraud management from 6% to 12%.

Predictions by VPNRanks

Here are the predictions based on the previous down trend.

2024 Estimation

• Revenue lost to payment fraud could further decrease to around 5%.
• Total reported losses: approximately $410

For 2024, it is estimated that the global percentage of e-commerce revenue lost to payment fraud could further decrease to around 2.5%, with improvements in fraud detection and prevention technologies continuing to show results.

However, total reported losses may increase slightly due to the growing volume of online transactions.

2025 Prediction

• E-commerce fraud losses could stabilize around 4% of revenue globally, with continued reductions in fraudulent orders.
• Total financial impact may rise: $430

As e-commerce continues to expand, but the effectiveness of fraud management strategies is expected to keep loss percentages low.

Justification for 2025 Prediction

The prediction is based on ongoing advancements in fraud prevention technologies, which have demonstrated effectiveness in reducing fraud rates across multiple key performance indicators (KPIs).

As merchants continue to invest in robust fraud management systems, especially smaller businesses that are increasingly dedicating resources to this area, the overall percentage of fraudulent transactions is expected to decline further, even as the volume of e-commerce transactions grows.

Key Drivers on Reduction of E-commerce fraud

These factors suggest a continued positive trend in the management and reduction of e-commerce fraud, leading to lower losses relative to the expanding global e-commerce market.

Credit Card Fraud by Age

Age demographics play a critical role in understanding who is most at risk for credit card fraud. This analysis not only helps in tailoring security measures but also feeds into the broader predictive models that VPNRanks uses to forecast future trends.

In 2021, the highest number of credit card fraud incidents in the United States was reported by individuals aged 30 to 39, with 108,592 cases, accounting for one-third of all credit card fraud reports across age groups. The data highlights that younger adults, particularly those in their 20s and 30s, are more frequently targeted by or susceptible to credit card fraud compared to older age groups.

This distribution suggests that those in their 30s are particularly vulnerable to credit card fraud, possibly due to their active participation in digital transactions and online shopping.

Prediction by VPNRanks

Younger adults, particularly those aged 30-39, are predicted to remain the most frequently targeted groups, with a significant increase expected in the number of reported fraud cases by 2025.

Source

• Bank Rate
• Consumer Sentinel Network Data Book 2021 by FTC

Case Study: A Costly Mistake of $7,000 in Online Banking

Reported by FIDReC the claimant, Mr. T, received a phishing email that appeared to be from his bank. The email requested that he verify his account details through a link provided. Unknowingly, Mr. T clicked on the link, which directed him to a fake website resembling his bank’s legitimate site.

He entered his login credentials, which were then stolen by the scammers. The scammers used his credentials to access his bank account and transferred $7,000 amount of money out of his account without his authorization. Mr. T reported the unauthorized transactions to his bank, but the bank denied his claim for reimbursement, arguing that Mr. T had been negligent by falling for the phishing scam.

Red Flags and Warning Signs: What to Watch For

• The email urged immediate action by claiming that Mr. T needed to verify his account. Scammers often use urgency to pressure victims into making hasty decisions.
• The email contained a link that redirected to a fake website. Always hover over links to see where they actually lead before clicking.
• The email came from an address that, while appearing legitimate at first glance, was not the official email domain of the bank.

To better protect yourself, it’s crucial to understand how to detect and prevent credit card fraud and avoid falling victim to such scams.

Insights from Industry Experts: Gathered by VPNRanks

VPNRanks reached out to top industry experts to gather their insights on the latest cybersecurity threats. Their expert opinions offer valuable advice on combating scams and protecting your online security.

Priyam Biswas

Priyam Biswas emphasized importance of monitoring and controlling excessive authorization attempts in order to prevent potential fraud, such as brute-force attacks or the use of stolen card details. Key points include.

Key points include:

Utpal (Aryan) Dutta

Utpal (Aryan) Dutta emphasizes the crucial role of transformer models in detecting credit card fraud.

According to Dutta, these models act like highly trained detectives, adept at analyzing vast amounts of data to identify suspicious patterns and unusual behaviors. By focusing on key factors such as spending habits, locations, and transaction times, transformer models can flag potential fraud early on, helping financial institutions protect customers from significant losses.

He also highlights that as these models continuously improve, they are becoming an indispensable tool in safeguarding the economy and mitigating the risks associated with internet financial fraud.

Richard Nyikwagh

My question was:
From a data analysis perspective, how can banks use fraud data to better predict and mitigate fraud risks? Are there predictive models or strategies you’ve seen work effectively?

Richard Nyikwagh responded: from my own experience, banks are strong with anti-phishing mechanisms 🛡️ and also in preventing cloning of information at ATMs so that customers cannot be duped.

With reports on fraud cases like switching ATM cards at the stand, cloning SMS of credits and debits, fake bank email addresses, and bulk SMS platforms, banks have used this data to sensitize customers via announcements in the banking halls, fraud sensitization emails, text messages sent to customers, and implementing multiple authentication layers before mobile banking login🔐.

They have also limited the number of devices each customer can use to create mobile banking profiles✅. Additionally, newly enrolled customers on mobile banking are restricted to transact with smaller amounts until confirmed and authenticated, after which they can access a hard or soft token for secure transactions.

I also want to emphasize that banks advise customers not to share personal details over the phone 📞 or via email 📧. When in doubt, customers should visit the nearest branch or contact bank authorities for clarification. Issues like these are frequently encountered when dealing with One-Time Passwords (OTPs).

He further adviced:

The bank blocks accounts when it detects transfers of similar amounts made in quick succession, as this could indicate fraudulent activity.

Further information to be cautious of:

Fraudsters have devised methods to hack WhatsApp accounts, often pretending to take attendance for WhatsApp group meetings. They request an OTP for registration, which is then used to hack the customer’s WhatsApp profile and access private information to defraud their associates.

Mark Haskins Ph.D.

Mark Haskins response was: There’s a lot to consider here, but a few points stand out. First, card-not-present (CNP) fraud is on the rise, particularly as most cards still have a magstripe. Fraudsters exploit this by copying data from a chip-enabled transaction and writing it back onto the magstripe.

You might’ve encountered this yourself—after multiple attempts to use the chip, you’re asked to just cancel and swipe.” That’s a red flag 🚩 indicating potential fraud.

Gift card theft 🎁 is another growing issue. Fraudsters often steal gift cards, scratch off the codes, and then return the cards to the store, waiting for funds to be added so they can steal the value.

To investigate effectively, I encourage others to always think outside the box. To be a good investigator, you need to adopt a criminal mindset: How would I steal from this company? How could I compromise their card or merchant service account?🕵️

VPNRanks’ Methodology for Credit Card Fraud Statistic Predictions

By understanding the patterns of the past and the behaviors of different demographics, VPNRanks provides a comprehensive forecast of credit card fraud trends. This methodology ensures that the strategies suggested are not only reactive but also proactive, equipping consumers and businesses to face the evolving landscape of credit card fraud.

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Conclusion

As we look ahead, the evalution of credit card fraud presents significant challenges that demand attention. With financial losses predicted to surpass $41 billion by 2025, the urgency for stronger security measures and vigilant practices cannot be overstated.

At VPNRanks, our detailed analysis of past and present trends highlights the growing sophistication of cybercriminals and the need for proactive defenses. Staying informed and prepared is essential as we continue to face these escalating threats, ensuring that both consumers and businesses can protect their financial well-being in an increasingly digital world.