The Corporate Financial Fraud project is a study of company and top-executive characteristics of firms that ultimately violated Securities and Exchange Commission (SEC) financial accounting and securities fraud provisions compared to a sample of public companies that did not. The fraud firm sample was identified through systematic review of SEC accounting enforcement releases from 2005-2010, which included administrative and civil actions, and referrals for criminal prosecution that were identified through mentions in enforcement release, indictments, and news searches. The non-fraud firms were randomly selected from among nearly 10,000 US public companies censused and active during at least one year between 2005-2010 in Standard and Poor's Compustat data. The Company and Top-Executive (CEO) databases combine information from numerous publicly available sources, many in raw form that were hand-coded (e.g., for fraud firms: Accounting and Auditing Enforcement Releases (AAER) enforcement releases, investigation summaries, SEC-filed complaints, litigation proceedings and case outcomes). Financial and structural information on companies for the year leading up to the financial fraud (or around year 2000 for non-fraud firms) was collected from Compustat financial statement data on Form 10-Ks, and supplemented by hand-collected data from original company 10-Ks, proxy statements, or other financial reports accessed via Electronic Data Gathering, Analysis, and Retrieval (EDGAR), SEC's data-gathering search tool. For CEOs, data on personal background characteristics were collected from Execucomp and BoardEx databases, supplemented by hand-collection from proxy-statement biographies.
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The U.S. fraud detection and prevention market size was valued at USD 5.6 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 13 Billion by 2033, exhibiting a CAGR of 9.8% from 2025-2033. The market expansion is chiefly bolstered by the strict regulatory adherence, increasing cyber threats, and rise in digital transactions. Moreover, rapid advancements in biometrics, artificial intelligence (AI), and blockchain improve fraud prevention abilities, while accelerating need for real-time analytics facilitates the market growth across diverse sectors.
Report Attribute
|
Key Statistics
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---|---|
Base Year
| 2024 |
Forecast Years
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2025-2033
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Historical Years
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2019-2024
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​Market Size in 2024 | USD 5.6 Billion |
​Market Forecast in 2033 | USD 13 Billion |
Market Growth Rate (2025-2033) | 9.8% |
IMARC Group provides an analysis of the key trends in each segment of the U.S. fraud detection and prevention market, along with forecasts at the country and regional levels from 2025-2033. The market has been categorized based on component, application, organization size, and vertical.
In 2023, around a quarter of fraud reports in the United States were contacted via e-mail. Phone call scams ranked as second most common point of contact between fraudulent actors and the U.S. public. In contrast, ** percent of all frauds reported during the year took place via website or apps. Social media frauds comprised about ** percent of all reported fraud cases in the United States in 2023.
In 2024, almost ** percent of retail companies in the United States and Canada said that for a return they required receipt or proof of purchase. This was in an attempt to reduce retail return fraud.
The fraud victimization survey was administered by telephone to 400 respondents 18 years or older. Screener items were used to determine whether respondents had been fraud victims. Respondents with victimizations to report were administered the incident report items for up to five fraud incidents. The collection contains two general groups of variables: those pertaining to the individual respondent (Part 1), and those pertaining to the fraud incident (Part 2). Personal information includes basic demographic information (age, race, sex, income) and information about experiences as a victim of crimes other than fraud (robbery, assault, burglary, vehicle theft). Specific questions about fraud victimization experiences distinguished among twenty different types of fraud, including sales of misrepresented products or services, nondelivery of promised work or services, various types of confidence schemes, and fraud relating to credit cards, charities, health products, insurance, investments, or prizes. For each type of fraud the respondent had experienced, a series of questions was asked covering the time, place, and circumstances of the incident, the relationship of the respondent to the person attempting to defraud, the response of the respondent and of other agencies and organizations to the incident, and the financial, psychological, and physical consequences of the victimization experience.
Payment card fraud - including both credit cards and debit cards - is forecast to grow by over ** billion U.S. dollars between 2022 and 2028. Especially outside the United States, the amount of fraudulent payments almost doubled from 2014 to 2021. In total, fraudulent card payments reached ** billion U.S. dollars in 2021. Card fraud losses across the world increased by more than ** percent between 2020 and 2021, the largest increase since 2018.
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United States Healthcare Fraud Detection Market is projected to grow at a CAGR of 22.9% to reach US$ 5.2 billion by 2034
The Supplemental Fraud Survey (SFS) obtained additional information about fraud-related victimizations so that policymakers; academic researchers; practitioners at the federal, state, and local levels; and special interest groups who are concerned with these crimes can make informed decisions concerning policies and programs. The SFS asked questions related to victims' experiences with fraud. These responses are linked to the National Crime Victimization Survey (NCVS) survey instrument responses for a more complete understanding of the individual victim's circumstances. The 2017 Supplemental Fraud Survey (SFS) was the first implementation of this supplement to the annual NCVS to obtain specific information about fraud-related victimization and disorder on a national level. Since the SFS is a supplement to the NCVS, it is conducted under the authority of Title 34, United States Code, section 10132. Only Census employees sworn to preserve confidentiality may see the completed questionnaires.
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Estimates suggest that up to 16% of American adults--approximately 40 million people--fall victim to mass marketing scams each year. Mass marketing scams include any attempts to fraudulently solicit money from consumers through mass communication methods, such as the internet, telephone, and mail. Complaints to consumer protection agencies have risen 240% in the past 10 years (Federal Trade Commission [FTC], 2013, 2023). According to conservative estimates from the most recent Consumer Sentinel Network Report (FTC, 2023), Americans reported more than $2.7 billion in direct losses from fraud in 2022. In addition to financial costs, consequences to victims include feelings of shame and embarrassment, loss of trust, depression, and, in the most severe cases, suicidal ideation. These consequences of fraud are particularly impactful for older adults who suffer higher losses per incident, on average (FTC, 2022) and face greater challenges recovering from losses after retirement. Research on elder mistreatment in general has shown that older victims consume 30% more mental health and substance abuse services and are hospitalized more often than non-victims. These scams convince susceptible targets that they have won bogus sweepstakes, merchandise, free vacations, or lotteries, but they first need to pay money to claim their winnings. Based on data from one major investigation from 2011 to 2016, the United States Postal Inspection Service (USPIS) found that Americans sent $558 million in checks, credit card payments, and money orders through the mail in response to such scams (USPIS internal data). Overall, the USPIS estimates that 3% of U.S. adults--7.5 million Americans--have mailed a payment in response to mass marketing fraud and that 60%-70% of these individuals are revictimized by a similar solicitation or an entirely different offer. Given these figures, reducing the incidence of mass marketing fraud could save millions of dollars annually. Although the FTC, the National Council on Aging, the Consumer Financial Protection Bureau, the Better Business Bureau, American Association of Retired Persons (AARP), and other agencies and organizations routinely disseminate fraud education and awareness materials, it is unclear how much of these materials reach the most vulnerable populations. Much of the content is available online, yet according to the Pew Research Center, only 75% of adults older than age 65 use the internet, and only 64% have home broadband. Printed materials are also disseminated at senior centers, libraries, legal service offices, and outreach events, but older adults who are socially isolated and most susceptible to fraud are unlikely to be reached through these venues. To address gaps in intervention research, Research Triangle Institute (RTI) International and the University of Minnesota conducted the Mass Marketing Elder Fraud Intervention (MMEFI) Study with collaboration and support from the USPIS. This multiphase research project included a secondary analysis of USPIS administrative data on prior scams and a randomized controlled trial test of the efficacy of two variations of a mailed intervention for preventing revictimization by mail fraud. The overall objective was to provide specific policy recommendations to the USPIS and other consumer protection agencies regarding the effectiveness of a mailed intervention. The MMEFI Study had the following specific goals: Enhance knowledge and understanding of repeat victimization among older victims of mass marketing scams. Engage in rigorous testing of the efficacy of two versions of a fraud intervention strategy geared toward preventing repeat victimization among older victims of mass marketing scams. Assess victims' perceptions of the intervention and collect self-report data on experiences with other types of fraud by surveying individuals in the intervention study.
U.S. consumers reported about ***million U.S. dollars worth of credit card fraud in the first quarter of 2025, the second increase in a row. This is according to a reporting of the organization that collects such consumer reports submitted to local law enforcement. While credit cards are relatively popular in the United States, the highest value type of fraud is reported with bank transfers or cryptocurrencies. The latter is relatively surprising, as the global size of crypto fraud is reported to be much lower than hacks involving cryptocurrency.
The focus of this project was insider fraud -- crimes committed by the owners and operators of insurance companies that were established for the purposes of defrauding businesses and employees. The quantitative data for this collection were taken from a database maintained by the National Association of Insurance Commissioners (NAIC), an organization that represents state insurance departments collectively and acts as a clearinghouse for information obtained from individual departments. Created in 1988, the Regulatory Information Retrieval System (RIRS) database contains information on actions taken by state insurance departments against individuals and firms, including cease and desist orders, license revocations, fines, and penalties imposed. Data available for this project include a total of 123 actions taken against firms labeled as Multiple Employer Welfare Arrangements or Multiple Employer Trusts (MEWA/MET) in the RIRS database. Variables available in this data collection include the date action was taken, state where action was taken, dollar amount of the penalty imposed in the action, and disposition for action taken.
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The US Healthcare Fraud Detection Market is segmented by Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), Application (Review of Insurance Claims and Payment Integrity), and End User (Private Insurance, Payers, Government Agencies, Other End Users). The report offers the value (in USD million) for the above segments.
According to a 2025 study, improving customer trust and loyalty through seamless experiences was the most important priority when making decisions about fraud prevention and customer experience (CX) for e-commerce merchants in the United States. For 17 percent of e-commerce merchants, minimizing fraud losses was the number one priority.
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In 2024, the most common type of return fraud that retailers encountered was wardrobing which was when customers returned the merchandise after using it. Almost ** percent of retail stores had experienced people trying to return stolen merchandise.
The 2014 Survey of State Attorneys General (SAG) collected information on jurisdiction, sources and circumstances of case referrals, and the participation of attorneys general offices in federal or state white-collar crime task forces in 2014. White-collar crime was defined by the Bureau of Justice Statistics (BJS) as: "any violation of law committed through non-violent means, involving lies, omissions, deceit, misrepresentation, or violation of a position of trust, by an individual or organization for personal or organizational benefit." SAG sought to analyze how attorneys general offices as an organization in all 50 states, the District of Columbia, and U.S. territories respond to white-collar offenses in their jurisdiction. BJS asked respondents to focus on the following criminal and civil offenses: bank fraud, consumer fraud, insurance fraud, medical fraud, securities fraud, tax fraud, environmental offenses, false claims and statements, illegal payments to governmental officials (giving or receiving), unfair trade practices, and workplace-related offenses (e.g., unsafe working conditions). Variables included whether or not offices handled criminal or civil cases in the above categories, estimated number of cases in each category, and what types of criminal or civil sanctions were imposed on white-collar offenders. Researchers also assessed collaboration with partners outside of state attorneys offices, whether cases were referred for federal or local prosecution, and what circumstances lead to referring cases to state regulatory agencies. The extent to which state attorneys offices maintain white-collar crime data was also recorded.
Contractor fraud Foundational strategy, on-going anti-fraud efforts, cases investigated and cases sent to OIG.
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Employment statistics on the Fraud Detection Software Developers industry in the US
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Market Size statistics on the Fraud Detection Software Developers industry in the US
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The global fraud prevention solutions market size was valued at USD 18.3 billion in 2023 and is projected to reach USD 52.7 billion by 2032, growing at a CAGR of 12.5% over the forecast period. The increasing sophistication of fraud tactics and the rising digitalization across various sectors are key growth factors driving the market. Organizations are increasingly prioritizing the need for advanced fraud prevention measures to safeguard their assets and customer trust, thereby fueling market growth.
One of the primary growth factors in the fraud prevention solutions market is the burgeoning digital transformation initiatives across industries. With the proliferation of digital payment methods and online transactions, the risk of digital fraud has surged exponentially. This has necessitated the adoption of sophisticated fraud prevention technologies that can detect and mitigate potential threats in real-time. Industries such as banking, financial services, and insurance (BFSI) are heavily investing in advanced fraud detection systems to protect sensitive financial data and comply with stringent regulatory requirements.
Another significant growth driver is the rising instances of identity theft and data breaches. Cybercriminals are employing increasingly complex tactics to exploit vulnerabilities in organizational systems. Identity theft, one of the most prevalent forms of fraud, can lead to significant financial and reputational damage for both individuals and enterprises. As a result, there is a growing demand for robust fraud prevention solutions that can offer comprehensive protection against identity theft, unauthorized access, and data breaches, thereby ensuring the integrity and security of personal and financial information.
Moreover, regulatory compliance is a critical factor propelling the adoption of fraud prevention solutions. Governments and regulatory bodies around the world are implementing stringent regulations and standards to combat financial crimes and protect consumer data. Compliance with regulations such as the General Data Protection Regulation (GDPR) in Europe and the Payment Card Industry Data Security Standard (PCI DSS) in the United States mandates organizations to deploy effective fraud prevention measures. Failure to comply can result in hefty fines and legal repercussions, making fraud prevention solutions an essential component of organizational risk management strategies.
From a regional perspective, North America holds a significant share in the fraud prevention solutions market, primarily due to the advanced technological infrastructure and high awareness levels among enterprises. The region's strong emphasis on regulatory compliance and the presence of major market players further contribute to its dominant position. Asia Pacific is expected to witness substantial growth during the forecast period, driven by the rapid digitalization and increasing internet penetration in emerging economies. The growing e-commerce sector and the rising adoption of digital payment methods in countries like China and India are key factors augmenting the demand for fraud prevention solutions in the region.
In the realm of combating financial crimes, Financial Crime and Fraud Management Solutions have emerged as pivotal tools for organizations. These solutions are designed to address the complexities of financial fraud by offering comprehensive systems that integrate various detection and prevention mechanisms. They provide a holistic approach to identifying fraudulent activities, leveraging advanced analytics and real-time monitoring to safeguard financial transactions. As financial institutions and businesses face increasing threats from sophisticated cybercriminals, the adoption of these solutions is becoming essential. They not only help in detecting potential fraud but also assist in compliance with regulatory requirements, thereby reducing the risk of financial penalties and reputational damage.
The fraud prevention solutions market by component is segmented into software and services. The software segment encompasses various types of fraud detection and prevention software, including identity verification, transaction monitoring, and behavioral analytics. These software solutions leverage advanced technologies such as artificial intelligence, machine learning, and big data analytics to identify and mitigate fraudulent activities in real-
The Corporate Financial Fraud project is a study of company and top-executive characteristics of firms that ultimately violated Securities and Exchange Commission (SEC) financial accounting and securities fraud provisions compared to a sample of public companies that did not. The fraud firm sample was identified through systematic review of SEC accounting enforcement releases from 2005-2010, which included administrative and civil actions, and referrals for criminal prosecution that were identified through mentions in enforcement release, indictments, and news searches. The non-fraud firms were randomly selected from among nearly 10,000 US public companies censused and active during at least one year between 2005-2010 in Standard and Poor's Compustat data. The Company and Top-Executive (CEO) databases combine information from numerous publicly available sources, many in raw form that were hand-coded (e.g., for fraud firms: Accounting and Auditing Enforcement Releases (AAER) enforcement releases, investigation summaries, SEC-filed complaints, litigation proceedings and case outcomes). Financial and structural information on companies for the year leading up to the financial fraud (or around year 2000 for non-fraud firms) was collected from Compustat financial statement data on Form 10-Ks, and supplemented by hand-collected data from original company 10-Ks, proxy statements, or other financial reports accessed via Electronic Data Gathering, Analysis, and Retrieval (EDGAR), SEC's data-gathering search tool. For CEOs, data on personal background characteristics were collected from Execucomp and BoardEx databases, supplemented by hand-collection from proxy-statement biographies.