Insurance fraud costs the U.S. economy four hundred billion dollars each year. Eighteen percent of adults reported falling victim to insurance scams. One in five claims shows errors or suspicious activity.
Key Takeaways
- 10% of premium dollars are lost to fraud in property/casualty insurance, according to estimates cited by industry sources
- The FBI’s 2020–2023 IC3 annual reports show total losses from fraud consistently in the billions annually, reaching $10.3 billion (2022) and $12.5 billion (2023)
- In 2022, 71% of insurers reported prioritizing data quality improvements to support fraud detection and investigations
- 5.1% of the U.S. population (about 12.7 million adults) reported being victims of insurance-related scams in the prior 12 months
- The global insurance fraud detection market is forecast to reach $7.8 billion by 2028, growing from $3.2 billion in 2021
- The global fraud detection and prevention market is projected to reach $46.2 billion by 2030
- In 2022, the FBI’s Internet Crime Complaint Center (IC3) reported $10.3 billion in total losses tied to fraud complaints
- ACFE’s Report to the Nations (2024) reports that victim organizations typically recover 13% of losses
- The Coalition Against Insurance Fraud (CAIF) estimates fraud costs the U.S. economy $400 billion annually
- The U.K. National Fraud Intelligence Bureau (NFIB) reported 2.7 million fraud records in 2022
- 1 in 5 insurance claims contains errors or suspicious activity (estimate based on Coalition Against Insurance Fraud analysis).
- 18% of U.S. adults reported being victims of insurance scams in the prior 12 months (2024 national consumer survey result).
- 31% of insurers reported that the rise in inflation increased the likelihood of fraud in claims handling (industry survey finding).
- In a 2023 global survey, 72% of insurers said they use external data sources for fraud detection (survey result).
- The mean time to detect suspicious claims fell from 14 days to 3 days after implementation of a fraud platform (operational metric from vendor/customer case study).
Insurance fraud drains billions annually and affects millions, driving insurers toward better data, analytics, and verification.
Related reading
01 · Category
Industry Trends4 stats
01
10% of premium dollars are lost to fraud in property/casualty insurance, according to estimates cited by industry sources
02
The FBI’s 2020–2023 IC3 annual reports show total losses from fraud consistently in the billions annually, reaching $10.3 billion (2022) and $12.5 billion (2023)
03
In 2022, 71% of insurers reported prioritizing data quality improvements to support fraud detection and investigations
04
The U.S. Department of Homeland Security reported 2.7 million identity-related fraud incidents in 2021 (documented incidents include identity fraud)
Interpretation
Industry Trends Interpretation
Across today’s industry trends, fraud is taking a substantial bite out of insurance and identity systems, with industry estimates putting property and casualty premium losses at 10% and U.S. fraud losses running in the billions annually alongside 2.7 million identity related fraud incidents reported in 2021.
02 · Category
Market Size4 stats
01
5.1% of the U.S. population (about 12.7 million adults) reported being victims of insurance-related scams in the prior 12 months
02
The global insurance fraud detection market is forecast to reach $7.8 billion by 2028, growing from $3.2 billion in 2021
03
The global fraud detection and prevention market is projected to reach $46.2 billion by 2030
04
The global fraud analytics market is expected to grow to $14.6 billion by 2030
Interpretation
Market Size Interpretation
For the market size angle, insurance fraud is widespread and growing, with 5.1% of US adults reporting scams in the last 12 months while the fraud detection and prevention landscape expands from $3.2 billion in 2021 to $7.8 billion by 2028 and is projected to reach $46.2 billion by 2030, signaling expanding demand for fraud analytics and detection solutions.
03 · Category
Cost Analysis7 stats
01
In 2022, the FBI’s Internet Crime Complaint Center (IC3) reported $10.3 billion in total losses tied to fraud complaints
02
ACFE’s Report to the Nations (2024) reports that victim organizations typically recover 13% of losses
03
The Coalition Against Insurance Fraud (CAIF) estimates fraud costs the U.S. economy $400 billion annually
04
In Australia, the Insurance Council of Australia (ICA) estimates that fraudulent claims cost the insurance industry around A$2.7 billion annually
05
19% of UK respondents to a fraud consumer survey reported losing money to fraud in the last 12 months (UK consumer fraud survey statistic).
06
£1.2 billion was reported as the estimated annual cost of fraud for a large insurance segment in the UK (industry estimate cited in parliamentary/reputable research).
07
A 2022 peer-reviewed study estimated that insurance fraud detection efforts reduce expected losses by reducing claim payout rates by 8% (model-based results).
Interpretation
Cost Analysis Interpretation
The cost impact of insurance fraud is enormous, with the CAIF estimating $400 billion annually in the US and UK analysis placing fraud costs at £1.2 billion for a major insurance segment, while even after losses are incurred victim organizations typically recover only 13%, underscoring why cost analysis is essential for tackling the scale of financial harm.
04 · Category
Performance Metrics1 stats
01
The U.K. National Fraud Intelligence Bureau (NFIB) reported 2.7 million fraud records in 2022
Interpretation
Performance Metrics Interpretation
In the Performance Metrics for insurance fraud, the NFIB’s 2.7 million fraud records in 2022 underscore just how large the reporting and detection footprint is at the national level.
05 · Category
Fraud Prevalence3 stats
01
1 in 5 insurance claims contains errors or suspicious activity (estimate based on Coalition Against Insurance Fraud analysis).
02
18% of U.S. adults reported being victims of insurance scams in the prior 12 months (2024 national consumer survey result).
03
31% of insurers reported that the rise in inflation increased the likelihood of fraud in claims handling (industry survey finding).
Interpretation
Fraud Prevalence Interpretation
Across the fraud prevalence picture, about 1 in 5 insurance claims show errors or suspicious activity and 18% of adults report being victims of insurance scams, while 31% of insurers say rising inflation is making fraudulent claims more likely.
06 · Category
Detection & Response4 stats
01
In a 2023 global survey, 72% of insurers said they use external data sources for fraud detection (survey result).
02
The mean time to detect suspicious claims fell from 14 days to 3 days after implementation of a fraud platform (operational metric from vendor/customer case study).
03
63% of insurers reported using payment and bank account verification checks as part of fraud controls (survey result).
04
54% of insurers reported that they use customer behavior analytics (e.g., clickstream/interaction patterns) for fraud detection (survey result).
Interpretation
Detection & Response Interpretation
In Detection and Response, insurers are clearly accelerating detection and tightening controls, with mean suspicious-claim detection dropping from 14 days to 3 days and survey data showing 72% use external data, 63% use payment and bank verification, and 54% apply customer behavior analytics.
07 · Category
Market & Investment4 stats
01
The global fraud analytics market is expected to reach $14.6 billion by 2030 (forecast).
02
The global identity verification solutions market is projected to reach $25.1 billion by 2028 (forecast).
03
The global digital identity market is forecast to reach $91.8 billion by 2027 (forecast).
04
89% of insurers plan to increase spend on fraud prevention in the next 24 months (insurance fraud survey).
Interpretation
Market & Investment Interpretation
From a market and investment perspective, rising fraud-prevention budgets are being matched by rapid growth in the supporting identity and verification markets, with 89% of insurers planning to increase spend over the next 24 months alongside forecasts such as the global fraud analytics market reaching $14.6 billion by 2030.
08 · Category
Regulation & Policy3 stats
01
In the EU, the Payment Services Directive 2 (PSD2) introduced Strong Customer Authentication (SCA) requirements that apply to electronic payments (regulatory requirement affecting fraud controls).
02
In the UK, the Fraud Act 2006 created specific criminal offenses including fraud by false representation, requiring prosecutors to prove intent (statutory basis for insurance fraud cases).
03
In 2023, the U.S. Department of Health and Human Services OIG reported 2,500+ healthcare fraud cases involving Medicare/Medicaid (enforcement reporting).
Interpretation
Regulation & Policy Interpretation
Across Regulation and Policy, strong enforcement frameworks are expanding globally, from the EU’s PSD2 Strong Customer Authentication rules to the UK’s Fraud Act 2006 offenses, and the scale is clear in 2023 when the US HHS OIG logged 2,500-plus Medicare and Medicaid healthcare fraud cases.
report visual · Key figures
Insurance fraud: where the money goes and how detection is evolving
Losses are measured in the billions, while insurers increasingly invest in data quality and fraud detection capabilities to reduce fraud-related losses.
$10.3 billion
In 2022, the FBI’s Internet Crime Complaint Center (IC3) reported $10.3 billion in total losses tied to fraud complaints
$10.3 billion
The FBI’s 2020–2023 IC3 annual reports show total losses from fraud consistently in the billions annually, reaching $10.
71%
In 2022, 71% of insurers reported prioritizing data quality improvements to support fraud detection and investigations
72%
In a 2023 global survey, 72% of insurers said they use external data sources for fraud detection (survey result).
63%
63% of insurers reported using payment and bank account verification checks as part of fraud controls (survey result).
$14.6 billion
The global fraud analytics market is expected to reach $14.6 billion by 2030 (forecast).
source-verifiedic3.gov · gartner.com · fico.com · experian.com · alliedmarketresearch.com2030
Reference
Cite This Report
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APA
Alexander Schmidt. (2026, February 13). Insurance Fraud Statistics. Gitnux. https://gitnux.org/insurance-fraud-statistics
MLA
Alexander Schmidt. "Insurance Fraud Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/insurance-fraud-statistics.
Chicago
Alexander Schmidt. 2026. "Insurance Fraud Statistics." Gitnux. https://gitnux.org/insurance-fraud-statistics.
Sources & references
30 datasets cited across this report · attribution is report-level
+3 additional datasets cited (not shown individually)