The UK is Western Europe’s largest mobile insurance market. As of 2025, an estimated 95% of UK residents 16 and over owned a smartphone, with 71.8 million active mobile connections nationwide.
This near-universal smartphone ownership, as well as top-end phones costing over £1,200, and the UK facing a sharply escalating phone theft crisis, is driving up consumer demand for gadget insurance, as the latest figures from the Financial Conduct Authority (FCA) show. Indeed, the number of gadget insurance policies in the UK increased from 7.87 million in 2023 to 8.46 million in 2024, representing annual growth of 7.5%.
The financial opportunities are clear, yet they aren’t without growing pains.
In the gadget insurance market, Gen Z and millennials have become a key growth demographic. Coverage for smartphones and other devices is often the first policy that young customers will purchase, providing insurers with a prime opportunity to build brand loyalty early.
Those positive brand perceptions rely on providing fast, transparent, digital claims journeys akin to the instant services that younger, tech-savvy individuals use every day. However, insurers must balance providing leading customer experiences with a growing fraud challenge.
According to FCA General Insurance Value Measures data, UK gadget insurance gross written premium income increased from £496 million in 2023 to approximately £604 million in 2024, representing a 22% year-over-year increase, which in large part was driven by rising device costs and a typical claims’ frequency of 5-15%. With close to 8.5 million policies in place, that translates to hundreds of thousands of claims per year, with an estimated 660,000 in 2024.
With a fraudulent claims rate of 15%, approximately 99,000 fraudulent gadget insurance claims may have occurred in 2024 alone. With the UK market seeing typical payouts of £435 per claim, this would translate into a financial impact of more than £40 million in just one year. That’s before the operational costs of processing those claims are factored in.
The dual challenge facing gadget insurers
Stamping out this fraud is naturally a leading priority for insurers. However, in the UK market, this can be difficult to achieve.
Since ‘lost’ claims typically do not require a police report or crime reference number, stolen and damaged phones are often reported as ‘lost’ to avoid having to submit either police documentation or the device itself for inspection and repair.
Equally, while insurers have historically used rules-based profiling checks such as document review, assessing claims by requesting proof of purchase receipts, and confirmation with the network provider of where and when the device was last used, such methods are becoming increasingly at odds with both modern fraud and the expectations of modern customers.
Advances in AI, for example, have made it easier to generate fabricated invoices, receipts, and supporting materials. At the same time, documentation checks often involve back-and-forth communications that can frustrate customers. Manual validation is slow and bureaucratic, while Gen Z customers expect the same instant decisions they’re used to with other digital services.
As a result, insurers are left facing a two-pronged challenge. Gen Z customers expect rapid, often same-day resolutions – particularly as we all virtually run our lives on these devices. Yet, insurers cannot afford to relax fraud detection controls despite the fact that they are slow, resource-intensive, and limited in their ability to detect modern forms of opportunistic gadget insurance fraud.
A further complication lies in the fact that many legacy fraud checks are both reactive and evidence-led. They focus on whether supporting documentation exists rather than validating whether the claim itself is genuine, which creates scope for fraud to creep in. A customer may provide a valid invoice or a plausible account of events, while still misrepresenting how or when a device was actually lost or damaged.
The argument for modernised assessments
There are several structural safeguards beyond document reviews in place.
The Recipero database, for example, allows insurers to validate unique IMEI numbers against sales and recycling databases, as well as other insurers to mitigate the risk of duplicated claims. Network data requests can also verify when a phone was last used to validate claimed loss dates, while exclusion or ‘waiting’ periods can prevent customers from making a claim immediately after buying an insurance policy.
However, these measures are not foolproof. Consumers can still exploit timing gaps by taking out contracts and claiming losses shortly after the exclusion period ends.
Insurance is a two-way trust relationship between the consumer and the insurer. The insurer needs to trust that the consumer is providing accurate information about the device at the point that the policy is purchased, and in the situation that a claim needs to be made. Equally, the consumer needs to trust that the insurer is charging a fair price for the cover that is being provided, and that any claims will be handled expediently and fairly.
Clearly, fraud committed by a proportion of consumers challenges the trust element. Meanwhile, existing fraud detection processes clearly aren’t entirely effective, and they also create unnecessary friction and delays for genuine customers when they most need their claim handled efficiently and quickly
One way to address the dilemma is to look outside the industry at how other sectors address this ‘trust screening’ challenge, with one innovative approach being voice-based risk assessment.
Human vocal characteristics associated with risk are universal, regardless of language, geography, culture, or other demographics. By analysing these voice-based characteristics through a short series of simple yes-or-no questions, insurers can rapidly identify potential indicators of misrepresentation in real time, meaning that genuine applications for a policy and claims can be fast tracked with those consumers receiving a much more elevated level of service.
Rather than treating every claimant as a potential fraudster until proven otherwise, many insurers are adopting technologies designed to quickly identify low-risk customers and allow straightforward claims to move faster, while reserving deeper investigations for the smaller number of cases that genuinely warrant additional scrutiny. Technologies such as voice-based risk assessment, AI-assisted claims routing, and document verification tools are transforming insurance assessments, deterring fraudulent behaviour, while accelerating the resolution of low-risk claims.
Crucially, new approaches align with Gen Z expectations for near-same-day resolutions by enabling insurers to balance speed with robust fraud detection.
Ensuring regulatory alignment
Ultimately, this is about addressing fraudulent claims that create disproportionate financial damage, either by prompting those customers to think twice, or by identifying them more effectively. These technologies detect risk in ways that traditional methods cannot, focusing on confident triage where potential risk is flagged, while remaining transparent and defensible under regulatory scrutiny.
With that said, as with any technology adoption, implementation must be guided by responsibility as well as effectiveness. This is especially important in a large, regulated, and operationally complex market where decision accuracy, trust, and defensibility directly impact financial performance and reputation. The FCA’s Consumer Duty, for example, expects regulated companies to have controls to protect customer data, and prevent fraud from arising from misuse of PII.
For insurers, the challenge is not simply to prevent fraud, but to do so in a way that preserves the customer experience. In the case of Gen Z, that means meeting demands for speed, convenience, and fairness, with this demographic being quick to disengage when such demands aren’t met.
Long term, that is the key to building the trust that underpins sustainable, mutually beneficial customer relationships.