Catastrophe Risks

Aon Reports $114 billion in Global Insured Losses as 2025 Disaster Activity Slows

October 20, 2025

Aon's Global Catastrophe Recap—Q3 2025 found $114 billion in global insured losses and $203 billion in economic losses. Despite below-average disaster activity, US wildfires and storms dominated results. The protection gap fell to a record-low 44 percent, highlighting increased insurance coverage across key markets. Read More


WTW and Swiss Re Launch Parametric Policy Triggered by Forecasts

October 3, 2025

WTW and Swiss Re have introduced a parametric insurance policy that triggers coverage based on red weather warnings in the United Kingdom and Ireland. This forecast-based model offers pre-agreed payouts for operational losses, even if the severe weather does not occur, addressing gaps left by traditional damage-based insurance. Read More


Munich Re Cites Growing Risks, Rising Demand in Reinsurance Market

September 9, 2025

Munich Re reports rising reinsurance demand driven by climate change, geopolitical instability, and cyber threats. Insured catastrophe losses reached $80 billion in early 2025. The company emphasizes risk-adequate pricing, capital strength, and innovation as it prepares for the January 2026 renewals amid evolving global risk and insurance landscapes. Read More


Cat Bond Surge Expands ILS Capacity, Softens Reinsurance Pricing

August 26, 2025

A new AM Best report shows record catastrophe bond issuance in 2025 is expanding insurance-linked securities (ILS) capacity and softening reinsurance pricing. June renewals fell around 10 percent overall, with varied rate shifts by risk layer. Increased demand in Florida and broader investor access are reshaping the reinsurance market landscape. Read More


Insurers Differ in Catastrophe Model Use, Aon Survey Finds

August 13, 2025

Aon's 2025 survey shows insurers vary widely in catastrophe model adoption, with regional differences in climate risk priorities. Many rely on brokers for analytics and accumulation management. Key concerns include data quality, model transparency, and nonmodeled losses, underscoring the need for robust, science-based risk management strategies.  Read More