Insurance Fraud Statistics 2026: Verified Data by Country and Line

This page collects the insurance fraud statistics that can be traced to a primary source: industry bodies, regulators, government agencies and named research reports. Every figure links to the publisher, with its year and geography, so you can check it and cite the original.

Last updated: September 29, 2026

Insurance fraud is hard to measure. Most estimates combine detected fraud with modeled undetected fraud, methods differ between countries, and some widely repeated figures are decades old. Where a number is old or narrow in scope, we say so. For AI- and deepfake-specific data, see our companion page on deepfake fraud statistics.

Key Numbers at a Glance

Statistic	Figure	Scope	Source
Annual cost of insurance fraud	US$308.6 billion	United States, all lines, 2022 study	Coalition Against Insurance Fraud
Cost per person	US$932.63 a year	United States	Coalition Against Insurance Fraud, 2022
Share of P&C losses involving fraud	about 10%	United States	Coalition Against Insurance Fraud
Detected general insurance fraud	£1.16 billion, 98,400 claims	United Kingdom, 2024	Association of British Insurers
Detected opportunistic fraud, motor and property	A$560 million	Australia, 2023	Insurance Council of Australia
Estimated undetected fraud	about A$400 million a year	Australia	Insurance Council of Australia, 2024
Reported consumer fraud losses (all fraud types)	US$12.5 billion	2024, US	FTC
Projected generative-AI-enabled fraud losses	US$40 billion by 2027	United States, financial services	Deloitte

United States

Total cost

Insurance fraud costs American consumers at least US$308.6 billion a year, according to a 2022 study for the Coalition Against Insurance Fraud, prepared by Colorado State University’s Global White Collar Crime Task Force. That is about US$932.63 for every person in the country.
The 2022 study was the Coalition’s first update of its headline estimate in 27 years. The often-quoted US$80 billion figure is the Coalition’s earlier, 1995-era US estimate, not a global figure.
A 2005 FBI financial-crimes report estimated that US non-health insurance fraud exceeded US$40 billion a year and added US$400–700 to annual premiums per family. Treat these as historical figures, not a current estimate.

Fraud by line (Coalition Against Insurance Fraud, 2022)

Line	Estimated annual cost (US)
Health (including Medicare and Medicaid)	US$105 billion
Life	US$74.7 billion
Property and casualty	US$45 billion
Workers’ compensation	US$34 billion
Auto theft	US$7.4 billion

Source: The Impact of Insurance Fraud on the U.S. Economy, Coalition Against Insurance Fraud, 2022. These are the study’s largest components, not an exhaustive breakdown of the US$308.6 billion total.

Property and casualty

Fraud occurs in about 10% of property-casualty insurance losses (Coalition Against Insurance Fraud).
The same 2022 study puts US property-casualty fraud at about US$45 billion a year.
8,898 motor vehicles were deliberately set on fire in the US in 2020 (as cited by the Coalition Against Insurance Fraud).

Health

The National Health Care Anti-Fraud Association conservatively estimates health care fraud at 3% of total US health spending. Some estimates run as high as 10%, which would mean more than US$300 billion a year (NHCAA, 2021, as cited by the Coalition Against Insurance Fraud).
The HHS Office of Inspector General reported US$3.1 billion in false and fraudulent claims in 2020 (as cited by the Coalition).

Laws and enforcement

According to the Coalition Against Insurance Fraud:

48 states make insurance fraud a specific crime.
42 states and the District of Columbia have an insurance fraud bureau.
43 states and the District of Columbia require insurers to report suspected fraud.

AI governance for insurers

The NAIC adopted its Model Bulletin on the Use of Artificial Intelligence Systems by Insurers on December 4, 2023. As of August 31, 2026, 25 states and the District of Columbia had adopted it, and several others (including California, Colorado and New York) apply their own insurance-specific AI rules (NAIC adoption map).

United Kingdom

The Association of British Insurers published its 2024 figures in late 2025:

Insurers detected 98,400 fraudulent general insurance claims worth £1.16 billion in 2024, up from 88,100 claims worth £1.14 billion in 2023. Claim numbers rose 12%; value rose 2%.
Motor remains the largest category: 51,700 fraudulent claims worth £576 million, 53% of all detected fraudulent claims by number.
Property: 18,700 fraudulent claims worth £189 million, 11% more by number than in 2023.
Insurers also stopped an estimated 684,800 fraudulent applications for cover in 2024.
The ABI estimates that a similar amount of fraud goes undetected each year.

Australia

In 2023, Insurance Council of Australia members detected A$560 million of opportunistic insurance fraud in motor and property alone. Undetected fraud is estimated to cost the industry around A$400 million a year (Insurance Council of Australia, May 2024). The ICA’s counter-fraud chief has called that undetected figure “quite a conservative estimate” (Insurance News, July 2025).
The ICA itself notes that the total cost of insurance fraud is hard to estimate with precision (ICA consumer guidance). In July 2025 it announced an independent forensic study of undetected claims fraud (Insurance News).
For historical comparison: the ICA reported that insurers detected A$280 million in fraudulent claims in 2017, across all classes except health insurance and personal injury. A widely quoted older industry estimate, reported in 2016, put fraud at 8–9% of claims and more than A$2 billion a year. Use the current ICA figures above in preference to both.
In May 2024 the ICA set up a dedicated counter-fraud and scams function, now the Insurance Crime Intelligence Network of Australia (ICINA), to target organized fraud networks (ICA). In November 2025 the ICA announced a collaboration with Shift Technology and EXL to build a national fraud detection and investigations platform for the industry.

AI and Technology-Enabled Fraud

These figures come from identity-verification, voice-security and consulting firms. Most cover financial services broadly rather than insurance alone. They are commercial research, so read each with its method and sample in mind. Our deepfake fraud statistics page covers this area in more depth.

Identity fraud more than doubled between 2021 and 2024, from 1.10% to 2.50% of verifications, and deepfakes were one of the main trends of 2024. Banking and insurance was among the five most affected sectors (Sumsub Identity Fraud Report 2024).
Sumsub detected four times as many deepfakes worldwide in 2024 as in 2023 (Sumsub, November 2024), after a tenfold rise from 2022 to 2023 reported in its 2023 report.
Onfido recorded a 3,000% (31x) increase in deepfake attempts from 2022 to 2023, and a fivefold increase in digitally forged identities (Onfido 2024 Identity Fraud Report, via Entrust).
Deepfakes now account for 6.5% of fraud attempts (about 1 in 15), a 2,137% increase over three years. Only 22% of organizations surveyed had implemented AI-based fraud defenses (Signicat, 2025).
Synthetic-voice attacks on insurance contact centers rose 475% in 2024. Across all sectors, deepfake fraud attempts rose more than 1,300% (Pindrop 2025 Voice Intelligence and Security Report).
Businesses surveyed lost an average of about US$450,000 each to deepfakes, and financial-services firms a little over US$600,000 (Regula, Deepfake Trends 2024; 575 decision-makers in five countries). These are averages per business, not per incident.
Deloitte’s Center for Financial Services projects that generative AI could push US fraud losses to US$40 billion by 2027, up from US$12.3 billion in 2023, a 32% compound annual growth rate (Deloitte, May 2024).

No industry body currently publishes a measured figure for how much insurance fraud involves AI-generated evidence. Any single number you see for that is an estimate or a model.

Regulatory Signals

United States: FinCEN issued Alert FIN-2024-Alert004 on November 13, 2024, warning financial institutions about fraud schemes that use deepfake media, including altered identity documents.
European Union: Under the EU AI Act, Article 50 transparency duties, including disclosure of deepfakes, apply from August 2, 2026. The 2026 Digital Omnibus (Regulation (EU) 2026/1744) moved the main high-risk obligations to December 2, 2027 (Mayer Brown summary).
Australia: APRA’s CPS 230 Operational Risk Management standard has applied to regulated entities since July 1, 2025.

Methodology Note

We include a figure only when we can link it to the organization that produced it, and we state its year and geography. We have left out figures we could not trace to a primary source, including several that circulate widely online. For the same reason this page has no pan-European total and no fraud-rate-by-country league table: we could not verify current versions of those numbers.

You’re welcome to cite this page, but please cite the primary sources linked beside each figure. If you spot an error or a newer release, contact us.

Deepfake Fraud Statistics: AI and deepfake fraud data in more depth
The True Cost of Deepfake Fraud in Insurance: what these numbers imply for an insurer’s exposure
The State of Deepfake Fraud in Insurance: attack vectors and industry readiness

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