Stichting Verzekeringsbureau Voertuigcriminaliteit (VbV), which collects and analyzes theft and recovery data on behalf of Dutch insurers, reported nearly 7,500 stolen passenger vehicles and more than €127 million in total damages for 2025. Those figures reflect a persistent and growing problem, but they also point to something else: an opportunity to go deeper into the data, to improve recovery and prevention.
Statistics from the VbV’s yearly report provide stakeholders with more insight into vehicle crime. The report reveals which vehicles and model years are most popular among criminals, and in which countries the vehicles are found. The report also shows the impact of vehicle crime on insurers by calculating the cost of claims.
Historically, that collaboration has faced limits. Claims data includes personal information and commercially sensitive details, and strict privacy rules govern how insurers can use and share it. As a result, analysis often happens with delays, and opportunities to intervene early - to trace a vehicle, identify a network, or flag a new trend - can slip away.
“When you work with thousands of records and no way to piece them together, it’s like looking for a needle in a haystack, with the needle moving every hour. You are always at a disadvantage when you don’t have all the information available to you.” says Roelof Muis, Project Leader at VbV.
VbV has started to address that constraint by changing how partner collaboration works. Instead of concentrating data in one place, VbV works with Roseman Labs to enable joint analysis on distributed encrypted data – meaning they can discover new insights, while raw data remains at source and always protected.
Stakeholders, such as rental and lease companies contribute their encrypted data, analysts run computations across it, and the system produces shared results without exposing individual records.
“We now work with the right data to help people get their vehicles back. This system connects the insights for us. And while recovery can sometimes still feel like searching for that needle, we have more hands and eyes working together to find it.”
This approach creates practical advantages for tracking and recovery efforts. Analysts can identify emerging theft patterns sooner and detect links between cases that previously appeared unrelated. It means recovery teams can act on more current intelligence and law enforcement partners can focus on routes, destinations, and methods that show up consistently across insurers, rather than in isolated reports.
Faster analysis increases the chance that a stolen vehicle remains traceable. Clearer patterns make it harder for criminal networks to operate unnoticed.
VbV’s work with Roseman Labs reflects a broader change in how organizations approach crime and risk. The data already shows that cooperation helps tracking and recovery efforts. The next step is to start scaling. Secure data collaboration offers a way forward, one that aligns privacy, trust, and operational impact.
As vehicle crime continues to evolve, so will the tools used to counter it. The most promising developments may not come from new alarms or locks, but from the ability to connect information across institutions and act on it in time.
Generate new insights on sensitive data with Roseman Labs’ secure Multi-Party Computation technology. Want to find out how your organization can do that? Contact us using the form below.