UK and Ireland insurance fraud trends, October 2026: fewer detected cases, higher values
Updated:
Data period: ABI detected-fraud statistics for calendar year 2025, published 6 October 2026; public sources only

The only official industry-wide UK fraud figures published in October are the ABI's 2025 detected-fraud statistics, released on 6 October [1]. Insurers detected £1.34 billion (adverse for insurers) of fraudulent claims in 2025, up 14% (adverse for insurers) from £1.18 billion in 2024 [1]. The number of detected fraudulent claims fell slightly, to 93,900 (favorable for insurers), down 2.7% (favorable for insurers) [1]. The average value of a detected fraudulent claim rose to £14,300 (adverse for insurers), the second-highest level on record, just below the £14,600 peak in 2022 [1].
Those figures describe detected cases, not a measure of fraud in any one book, and they do not imply that any customer or claimant is acting dishonestly. They are public industry totals. This piece uses only those public sources.
What you can do about this
- 1
Automate application checks before bind
Insurers prevented fraudulent applications worth £1.8 billion (favorable for insurers) in 2025, and detected application-fraud cases rose 24% (adverse for insurers). That work sits before a policy is in force.
- 2
Send higher-value motor and property claims to an early fraud review when the file matches a stated pattern
The average detected motor fraud claim was £12,000 (adverse for insurers), and the average detected property fraud claim reached a record £11,400 (adverse for insurers). These are industry detected-case averages, not a reason to treat ordinary claims as dishonest.
- 3
Watch contrived-incident indicators at first notification
Contrived incident and loss fraud rose 30% (adverse for insurers) to about 5,600 (adverse for insurers) detected cases in 2025, the largest increase among the types the ABI published.
- 4
Keep travel claims on a separate volume trigger
Detected fraudulent travel claims rose 85% (adverse for insurers) to 4,500 (adverse for insurers) cases in 2025, the sharpest volume increase of the lines the ABI published.
Motor still accounts for most detected cases, at a higher average value
Motor insurance accounted for 55% of all detected fraudulent claims in 2025: 51,900 cases, with a total value of £625 million (adverse for insurers) [1]. The ABI says that points to fewer, more costly motor cases. The average value of a detected motor fraud claim rose to £12,000 (adverse for insurers), the second-highest level since 2015 [1].
Detected fraudulent claims in 2025, by line
Source: Association of British Insurers, detected insurance fraud in 2025, published 6 October 2026 (travel average is £8.6m / 4,500 cases), as of December 31, 2025
Property insurance followed the same pattern. Detected fraudulent property claims fell 6.2% (favorable for insurers) to 17,700 (favorable for insurers), while their total value rose 3.4% (adverse for insurers) to £201 million (adverse for insurers). The average value reached a record £11,400 (adverse for insurers) [1]. Travel was the sharpest volume increase: detected cases rose 85% (adverse for insurers) to 4,500 (adverse for insurers), while value rose 16% (adverse for insurers) to £8.6 million (adverse for insurers) [1].
The mix matters for claims operations. A falling case count with a rising average is not a lighter workload if the remaining cases are larger, more organised or harder to unwind once they are paid.
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SubscribeHow the fraud was attempted
Exaggerated loss remained the most common type, with 26,900 cases [1]. That is a claim that was inflated, not a statement about legitimate claims. Contrived incident and loss fraud saw the largest increase, up 30% (adverse for insurers) to about 5,600 (adverse for insurers) cases [1]. The ABI describes those as cases where an incident, loss or set of circumstances was deliberately created or staged in order to make a claim [1].
Selected types of detected claims fraud, 2025
Source: Association of British Insurers, detected insurance fraud in 2025, published 6 October 2026, as of December 31, 2025
Insurers also prevented fraudulent insurance applications worth £1.8 billion (favorable for insurers) [1]. Application fraud is the deliberate misrepresentation or withholding of information in order to obtain cover or reduce premiums. Detected application-fraud cases rose 24% (adverse for insurers) year on year [1]. That is an underwriting and onboarding problem as much as a claims problem, and it is a separate total from the £1.34 billion of detected claims.
The ABI release includes comments from the Insurance Fraud Enforcement Department at the City of London Police and from the Insurance Fraud Bureau, and it notes the IFB's CheatLine as a confidential reporting route [1]. This piece does not add unofficial estimates on top of those official public figures.
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SubscribeIreland: no comparable 2026 official public total in this edition
This edition does not publish an Irish detected-fraud total for 2025 or 2026, because we did not find a 2026 official public series from An Garda Síochána, Insurance Ireland or the Motor Insurers Bureau of Ireland that could be placed next to the ABI figures with the same definitions. That is a gap in the public data, not a finding that Ireland has no fraud problem. Where Irish carriers share official public updates, they can be added in a later edition.
The UK figures also do not include a Northern Ireland cut. The ABI series is a UK industry total.
What this means for underwriting and claims
Underwriting. The 24% (adverse for insurers) rise in detected application-fraud cases, and the £1.8 billion (favorable for insurers) of applications prevented, is the part of the October release that sits before a policy is even in force [1]. Identity, previous claims and vehicle details that cannot be checked at quote will show up later as claims leakage.
Claims. Motor still dominates the detected-case count, but the severity of those cases is what rose. Contrived incidents, up 30% (adverse for insurers), and higher-value motor and property cases are the patterns to send to experienced handlers early, not a broader suspicion applied to ordinary claims [1]. Public reporting routes exist for third-party intelligence. They are not a substitute for file-level evidence.
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SubscribeHow Inaza can help
Every action above can be run with your own teams and tools. Where volume makes manual checks hard, Inaza can take on the routine work. Mapped to the actions:
- Automate application checks before bind. Compare quote data with previous-claims, vehicle and identity sources at application, and hold only the exceptions for underwriter review.
- Send higher-value motor and property claims to an early fraud review when the file matches a stated pattern. Route motor claims above your £12,000 severity threshold, and property claims with a rising reserve, to experienced handlers, without treating ordinary claims as dishonest.
- Watch contrived-incident indicators at first notification. Flag inconsistent first accounts, repeated locations or related parties in the opening report and pass those files to the investigation team with the evidence pack.
- Keep travel claims on a separate volume trigger. Travel detected cases rose 85%, so a sudden cluster of similar travel claims in a short window should open a review, again on the file evidence.
To see how this would work on your own book, talk to the Inaza team.
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