Trend Tracker: The acceleration of total loss

Following the thought-provoking piece from e2e, Trend Tracker has reviewed its data and believes the last five years have reshaped the economics of repair, 2025 seeing a market tipping decisively toward total loss.

Through analysis of several data sources [ABI, Audatex, Verisk, DoT as examples] it suggests UK insurer-recorded write-offs of approximately 700,000 vehicles in 2025 – a potential doubling versus pre-pandemic norms. 

What’s driving the surge? Three structural shifts: 

1. An ageing car parc is pushing more vehicles over the edge

The UK vehicle parc is older than at any point in recent history. As vehicles age:

• baseline values fall
• repair complexity increases
• parts availability becomes more volatile

This creates a growing pool of lower-value, high-cost (in comparison) repair scenarios where even modest damage could render a vehicle uneconomic. What would once have been a straightforward repair is now increasingly written off? 

2. EV growth is changing the risk profile of damage

Electric vehicles are introducing a fundamentally different write-off dynamic with a greater percentage of CAT S write-offs, where even relatively minor impacts can trigger:

• battery integrity concerns
• mandatory OEM inspection protocols
• limited repair opportunities 

In many cases, uncertainty – not visible damage – drives the total-loss decision. This is something Thatcham have sought to tackle (Insert link to their recent piece)

As EV penetration rises within the parc, so too does the proportion of claims that cross the economic threshold earlier in the lifecycle of the vehicle. In addition to the battery damage challenge, lets also notice that the price of these new EV’s is coming down with a plethora of new Chinese manufacturers with lower list prices, which could of course then create the same issue as (point 1) above over time.

3. Digital claims triage is accelerating decision-making

Insurers are continually looking at ways to reduce operating costs and consider digital / automation and AI assisted processes, they have invested heavily in:

• AI-driven estimating
• automated triage
• predictive total-loss modelling

The result is faster, earlier decisions – often made before a vehicle reaches a physical repair environment (in some cases it never does).

While this delivers efficiency in this initial decision, it also reduces:

• opportunities for engineer intervention
• consideration of borderline repair scenarios
• flexibility in outcomes

In effect, process speed is reinforcing total-loss frequency.

Not forgetting there is a highly skilled vehicle repair market with capacity available which could be engaged on borderline decisions or where consumers may want to keep older vehicles. 

Why this matters: a compounding effect

Individually, each of these trends is manageable. Combined, they create a powerful structural shift:

• More vehicles enter the ‘borderline’ category without necessarily the ability to make quick, informed borderline repair/write-off decisions
• More of those vehicles are assessed digitally without physical inspection or repairer estimates produced where alternative options may be available 
• More are written-off earlier in the process

The outcome is a systemic expansion of total-loss volumes, not a temporary spike.

The hidden opportunities and pressures inside the trend

For insurers, this is a cost challenge as well as strategic inflection point.

Rising write-offs increase pressure on:

• indemnity spend
• mobility costs
• customer satisfaction (when in some cases cover is cancelled whilst the customer considers a new vehicle purchase, winning and retaining customers is expensive)

But they also create opportunity for those willing to rethink the model:

• recovering more value from salvage
• reintroducing viable repairs through better parts strategies
• applying greater intelligence at the borderline decision point

In short, the focus shifts from processing total loss efficiently to managing total-loss economics intelligently is upon us.

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