Severe convective storms (SCS) caused $56B in insured losses last year, highlighting rising risks and the urgent need for insurers to adapt their risk assessment strategies. This overview explores 2025's trends, La Niña's impact, and how AI-driven, property-level insights can help insurers mitigate losses and improve underwriting.
The 2024 SCS season delivered record-breaking insured losses, underscoring the escalating challenges insurers face. As 2025 unfolds, with La Niña expected to influence weather patterns this year, the unpredictability of SCS frequency and impact remains a significant concern. Traditional risk models often fall short in providing the granular, property-specific data needed for accurate underwriting and pricing in this volatile environment.
This report offers critical insights into navigating the increasingly complex landscape of severe weather risks. Learn how AI-driven analytics and comprehensive property-level data highlight the factors shaping this storm season and the potential impact on the insurance industry, providing you with the knowledge and tools to adapt to this increasingly volatile storm season.
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