Fraud Detection and Prevention Statistics: Secure Ways

Tajammul Pangarkar
Tajammul Pangarkar

Updated · Dec 1, 2023

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Introduction

Fraud Detection and Prevention Statistics: Fraud Detection and Prevention (FDP) is a critical focus for organizations, involving strategies and technologies to thwart deceptive activities aimed at financial gain.

Fraud encompasses various forms, from identity theft to cybercrimes, and effective FDP is crucial for minimizing financial losses, preserving reputation, adhering to legal obligations, and safeguarding data.

Key components include data collection, statistical analysis, machine learning, fraud prevention measures, regulatory compliance, and integrating emerging technologies like AI and blockchain. Continuous improvement is vital in this dynamic field to stay ahead of evolving fraud tactics.

Fraud Detection and Prevention Statistics

Editor’s Choice

  • The Fraud Detection and Prevention (FDP) market has witnessed significant growth in recent years, with its revenue steadily increasing from 14.37 billion USD in 2016 to 63.50 billion USD in 2023.
  • In 2022, Credit Card Fraud saw an increase in 440,666 reported cases, marking a 13% rise from 2021.
  • India, with a staggering 27.2 million adults, has the highest number of individuals who have fallen victim to identity theft.
  • The most commonly impersonated brands in phishing attempts are Amazon and Google, accounting for 13%, followed by Facebook and Whatsapp at 9%, and Netflix and Apple at 2%.
  • The United States tops the tax evasion list with a substantial 188.8 billion USD in corporate tax losses, reflecting the scale of its economy.
  • The retail sector has experienced a substantial increase, with a suspected fraud attempt rate of 10.60%, marking a significant 183% rise.
  • According to research conducted in 2022, credit card verification services are the leading choice for fraud detection among online merchants worldwide, with 55 percent employing this approach.

Global Fraud Detection and Prevention (FDP) Market Statistics

Global Fraud Detection and Prevention (FDP) Market Size

  • The Fraud Detection and Prevention (FDP) market has witnessed significant growth in recent years, with its revenue steadily increasing from 14.37 billion USD in 2016 to 63.50 billion USD in 2023.
  • This remarkable growth trajectory reflects the growing importance of safeguarding businesses and financial institutions against fraudulent activities.
  • In 2017, the market revenue reached 16.62 billion USD, marking a notable uptick from the previous year.
  • The momentum continued in 2018, with the revenue surging to 19.50 billion USD.
  • The year 2019 saw a substantial increase to 24.00 billion USD, emphasizing the escalating threat of fraud in various sectors.
  • The FDP market continued to expand in 2020 and 2021, reaching 28.80 billion USD and 34.60 billion USD, respectively.
  • As of 2022, the market’s revenue reached 41.59 billion USD, demonstrating the ongoing investments made by organizations in fraud detection and prevention solutions.
  • The year 2023 is projected to be particularly significant, with the market expected to soar to 63.50 billion USD, underlining the growing awareness of the need for robust fraud protection measures in an increasingly digitized world.

(Source: Statista)

Different Types of Fraud Detection and Prevention Statistics

  • In 2022, various types of fraud were reported, each showing distinct trends in reported cases compared to the previous year.
  • Credit Card Fraud increased with 440,666 reported cases, marking a 13% rise from 2021.
  • Other Identity Theft reported 326,505 cases, reflecting a 13% decrease.
  • Bank Fraud showed a significant surge, with 156,134 cases, representing a 25% increase.
  • In contrast, Loan or Lease Fraud experienced a decline, with 153,578 cases, down by 22%.
  • Employment or Tax-Related Fraud also decreased, reporting 103,416 cases, a 7% drop.
  • Phone or Utilities Fraud decreased by 13%, reporting 77,316 cases.
  • The most notable change was observed in Government Documents or Benefits Fraud, with a substantial 85% decrease and 57,912 reported cases.
  • These statistics highlight the dynamic nature of identity fraud, with some types increasing. In contrast, others decrease, underscoring the importance of continuous vigilance and preventative measures in the ongoing battle against identity theft and fraud.

(Source: Federal Trade Commission- 2023)

Fraud Detection and Prevention Statistics

Identity Theft in Fraud Detection and Prevention Statistics

  • Recent statistics reveal that around one-third (33%) of Americans have experienced identity theft at least once in their lifetimes. This percentage is more than twice the global average.
  • Each year in the United States, there are more than 50,000 reported cases of identity theft and an equal number of personal data breaches. However, it is believed that many similar crimes go unreported.
  • In 2022, identity theft has significantly impacted adults in various countries.
  • India, with a staggering 27.2 million adults, has the highest number of individuals who have fallen victim to this crime.
  • The United States follows closely with 13.5 million affected adults, highlighting the widespread nature of identity theft in one of the world’s largest economies.
  • In Japan, approximately 3 million adults have experienced identity theft, while in Germany, 1.3 million individuals have been affected.
  • Australia and France have reported 0.85 million and 0.83 million victims, respectively.
  • The United Kingdom and New Zealand have comparatively lower numbers, with 0.54 million and 0.23 million adults having encountered identity theft, though the impact remains significant across these nations as well.
  • These figures underscore the global challenge of identity theft and the need for robust measures to protect personal information and combat this pervasive crime.

(Source: FBI, Statista, Proofpoint)

Fraud Detection and Prevention Statistics

Credit Card Fraud in Fraud Detection and Prevention Statistics

  • During 2021, the Federal Trade Commission (FTC) received nearly 390,000 reports related to credit card fraud, indicating its prevalence in the United States.
  • In December 2022, the Nilson Report, an industry payment monitor, predicted that the U.S. would suffer losses of $165.1 billion due to card fraud over the next ten years, affecting people of all age groups and across every state.
  • Specifically, a specific type of credit card fraud, referred to as card-not-present fraud, which encompasses online, phone, and mail-order transactions, led to approximately $5.72 billion in losses in the U.S. in 2022, as disclosed by Insider Intelligence.
  • In 2021, credit card fraud was the second most frequent form of identity theft in the United States, coming after fraud linked to government benefits or documents, as reported by the FTC.
  • In numerous instances, the financial burden associated with credit card fraud falls on card issuers, merchants, payment processors, and ATM transaction processors.
  • In 2020, card issuers took responsibility for 65.4% of the losses, while the remaining 34.6% was attributed to merchants, ATM acquirers, and merchant acquirers.

(Source: Bankrate)

Phishing in Fraud Detection and Prevention Statistics

  • According to the F5 Labs Phishing and Fraud Report from 2020, over half (55%) of phishing websites employ recognizable brand names to obtain sensitive information easily.
  • In the United States, 84% of organizations have reported that regular security awareness training has effectively reduced employees’ susceptibility to phishing attacks.
  • In Australia, 92% of organizations fell victim to successful phishing attacks, marking a significant 53% increase compared to 2021.
  • The most commonly impersonated brands in phishing attempts are Amazon and Google, accounting for 13%, followed by Facebook and Whatsapp at 9%, and Netflix and Apple at 2%.
  • According to IBM’s 2022 Data Breach Report, breaches resulting from phishing attacks took the third-longest amount of time to both identify and contain, averaging 295 days. 
  • Phishing scams emerged as a prominent cybercrime, representing almost 22% of all data breaches, as the FBI’s 2021 IC3 Report highlighted.
  • Additionally, in 2021, nearly 83% of companies encountered phishing attacks.
  • According to Verizon’s 2022 report, phishing played a role in 36% of all data breaches.
  • Furthermore, it was projected that in 2022 a ransomware or phishing attack would transpire roughly every 11 seconds.

(Source: Astra)

Fraud Detection and Prevention Statistics

Tax Evasion in Fraud Detection and Prevention Statistics

  • The punctuality rate for tax payments among Americans stands at 85%.
  • The tax gap in the United States amounts to $496 billion, with the net tax gap, which considers late payments, totaling $428 billion.
  • Underreporting is the primary method of tax evasion and contributes to 80.24% of the overall gross tax gap.
  • Approximately 63.3% of individuals in tax fraud cases received prison sentences.
  • The typical duration of imprisonment for tax fraud perpetrators averaged 14 months.
  • The average age of those involved in tax fraud cases is 52 years.
  • The annual corporate tax losses in various countries showcase a significant range of figures. The United States tops the list with a substantial 188.8 billion USD in corporate tax losses, reflecting the scale of its economy.
  • China follows with 66.8 billion USD in tax losses, underlining its economic prominence.
  • Japan reports 46.8 billion USD in annual corporate tax losses, while India closely follows with 41.2 billion USD.
  • France and Germany report 19.8 billion USD and 15 billion USD in corporate tax losses, respectively.
  • Australia and Spain report 6.1 billion USD and 5.5 billion USD in losses, while South Korea and the United Kingdom report 1.1 billion USD in annual corporate tax losses.
  • These figures illustrate the diverse tax landscapes and revenue challenges faced by different countries across the globe.

(Source: Finmasters)

Online Frauds in Fraud Detection and Prevention Statistics

  • New research commissioned by Ofcom in the UK reveals that a significant majority, approximately 87% of online adults, have encountered content they suspected might be a scam or fraud.
  • Of those surveyed, nearly half, or 46%, admitted to personally falling for an online scam, while 39% knew someone who had been a victim of such scams.
  • Among those who encountered online scams, 25% reported losing money; notably, 21% had been scammed out of £1,000 or more.
  • Furthermore, the study found that approximately 34% of all victims experienced an immediate negative impact on their mental well-being, and this figure increased to nearly 63% among those who had suffered financial losses.
  • Looking at the data, it’s evident that certain groups are more vulnerable to encountering suspicious online content.
  • Men, numbering 89%, along with younger adults aged 18 to 34, at 92%, and households with children, at 93%, seem to come across such content more frequently, surpassing the overall average of 87%.
  • Among those who have fallen prey to online scams or fraud, nearly a quarter, or 23%, initially encountered these scams on social media, which ranks as the second most common platform after email, responsible for 30% of cases.
  • As for the types of scams encountered, impersonation fraud takes the lead at 51%, investment, pension, or ‘get rich quick’ scams at 40%, counterfeit goods scams at 42%, and computer software service or ransomware scams at 37%.

(Source: Ofcom 2023)

Fraud Attempts by Industry

  • In the first half of 2023, synthetic fraud attempts varied across different industries, with notable trends in suspected fraud attempt rates and changes compared to the first half of 2019.
  • Retail experienced a substantial increase with a suspected fraud attempt rate of 10.60%, marking a significant 183% rise.
  • Video games, on the other hand, saw a decline of 32% in fraud attempts, registering a rate of 7.00%.
  • Telecommunications witnessed a slight 2% increase, reaching a rate of 5.30%, mainly due to credit card fraud.
  • Gaming, particularly in the online gambling sector, displayed a 24% uptick, with a rate of 4.70%, primarily driven by promotion abuse.
  • The financial services sector encountered a remarkable 382% surge in fraud attempts, equaling a rate of 4.30%, primarily attributed to identity fraud.
  • Communities, which encompass online dating and forums, experienced a 16% decrease in fraud attempts, resting at a rate of 4.10%, primarily involving profile misrepresentation.
  • Travel and leisure experienced a substantial 353% increase, reaching a rate of 2.30%, mainly due to credit card fraud.
  • Insurance reported a 61% rise, resulting in a rate of 1.60%, primarily associated with third-party application fraud.
  • Finally, the logistics sector had a 14% increase, reaching a rate of 0.90%, primarily stemming from shipping fraud.

(Source: TransUnion 2023)

Fraud Detection and Prevention Statistics

Fraud Detection and Prevention Software and Technologies

  • According to research conducted in 2022, credit card verification services are the leading choice for fraud detection among online merchants worldwide, with 55 percent employing this approach.
  • Coming in second place is utilizing identity verification and validation services, adopted by half of all e-commerce businesses.
  • Furthermore, 44 percent of online merchants employ two-factor telephone authentication to prevent fraud.
  • In 2022, MaxMind and Signifyd emerged as dominant players in the global fraud detection and prevention sector, holding substantial market shares of around 22.78 percent and 19.07 percent, respectively.
  • This made them direct rivals in the industry. Both companies provide fraud detection and prevention software tailored to safeguard data, resources, accounts, and financial transactions.

(Source: Statista)

Fraud Detection Efforts

  • In 2018, the French National Health Insurance Fund demonstrated a significant commitment to combating fraudulent activities within the healthcare system.
  • They successfully detected and prevented various types of fraud, with a total value of 261.2 million euros.
  • This substantial effort encompassed multiple categories of services, with the highest fraud detected in “Benefits in Kind,” amounting to 128.8 million euros.
  • Benefits in Cash” saw a significant sum of 42.4 million euros attributed to fraudulent activities, while “Institutions” accounted for 79 million euros in detected fraud.
  • Additionally, “Rights Clearance” services contributed to the effort by uncovering and stopping fraudulent activities worth 11 million euros.
  • These efforts underscore the dedication of the French National Health Insurance Fund to safeguarding the integrity of its services and resources, ultimately benefiting the healthcare system and the public.

(Source: Statista)

Conclusion

Fraud Detection and Prevention Statistics – In conclusion, Fraud Detection and Prevention (FDP) are vital safeguards against financial losses and reputation damage. FDP’s multifaceted approach includes data analysis, statistics, and technology to counter evolving fraud tactics.

Continuous improvement is crucial in this ever-changing landscape. FDP protects finances and upholds trust and ethical conduct in an interconnected world, emphasizing its critical role. Also, collaboration between industry stakeholders, regulatory bodies, and technology innovators is essential to address the ever-changing fraud landscape.

FAQs

What is Fraud Detection and Prevention (FDP)?

FDP is a set of strategies, techniques, and technologies to identify, mitigate, and prevent fraudulent activities that can lead to financial losses and reputational damage.

Why is FDP important for businesses and organizations?

FDP is crucial because it helps minimize financial losses, protect reputation, ensure compliance with legal regulations, and safeguard sensitive data.

What are some common types of fraud that FDP addresses?

Common types of fraud include identity theft, credit card fraud, insurance fraud, insider trading, and cybercrimes.

What are the key components of FDP?

FDP involves data collection, exploratory data analysis, statistical techniques, machine learning, fraud prevention strategies, regulatory compliance, and integrating emerging technologies.

How does machine learning contribute to FDP?

Machine learning algorithms can identify fraudulent patterns and anomalies in real-time data, making them valuable tools for FDP.

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Tajammul Pangarkar

Tajammul Pangarkar

Tajammul Pangarkar is a CMO at Prudour Pvt Ltd. Tajammul longstanding experience in the fields of mobile technology and industry research is often reflected in his insightful body of work. His interest lies in understanding tech trends, dissecting mobile applications, and raising general awareness of technical know-how. He frequently contributes to numerous industry-specific magazines and forums. When he’s not ruminating about various happenings in the tech world, he can usually be found indulging in his next favorite interest - table tennis.

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