PERILS AG, a Zurich-based company known for tracking catastrophe insurance data, is expanding its reporting services to include severe convective storms (SCS) across Europe, Japan, and New Zealand. Starting August 1, 2025, this new service will monitor and report industry losses caused by these powerful storms in countries like Austria, Belgium, France, Germany, Ireland, Italy, Luxembourg, the Netherlands, Switzerland, and the United Kingdom, as well as in Japan and New Zealand. This move follows the company’s existing SCS coverage in Australia and Canada.
The new reporting will focus on significant losses—those above €500 million in Europe, 100 billion yen in Japan, and 300 million New Zealand dollars. It will cover damages in property and motor insurance lines. PERILS collects data directly from insurers at detailed regional and business levels, ensuring accuracy in the reported losses.
This addition comes in response to growing demand in the insurance market for better data on severe convective storms. These storms, which include events like intense thunderstorms and tornadoes, are becoming an increasingly serious risk worldwide. Until now, reliable and consistent data on such losses was hard to find, making it tough for insurers and reinsurers to assess risk accurately.
Christoph Oehy, CEO of PERILS, highlighted that offering this service is a key achievement for 2025. He pointed out that accessible data will improve risk models and help the insurance industry better understand and manage the impact of these storms. More accurate data can also support new insurance products that transfer risk based on actual industry losses from these severe weather events.
Since 2009, PERILS has worked closely with insurers to gather and validate catastrophe data worldwide. This latest step broadens their reach in severe weather reporting, providing valuable insights for companies dealing with these growing hazards.
The inclusion of Europe, Japan, and New Zealand into PERILS’ severe convective storm coverage reflects the increasing importance of these events globally. As climate patterns shift, data like this will be crucial for preparing and protecting communities and businesses alike.