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Report: Severe Convective Storm Preview 2025
Get the insights to manage risk in 2025 before claims surge.
Severe convective storms (SCS)—including tornadoes, hail, and damaging wind events—resulted in $58 billion in insured losses across the U.S in 2024.
Insurers face a dual challenge: navigating the uncertainty of storm patterns while ensuring their portfolios remain resilient enough to absorb the financial strain from clustered, high-loss events.
Research with IBHS confirms that SCS damage accumulates over time, particularly affecting rooftops after multiple exposures to intense storm activity. As housing stock deteriorates, insurers must reassess their portfolios to ensure underwriting, rating, and loss cost controls align with their risk appetite and maintain premiums that accurately reflect evolving exposure.
Get ahead of rising storm risks with expert insights that help you strengthen underwriting, risk assessment, and claims management.

$2.15 Trillion in Property Value at Risk as Wildfire Exposure Expands Across the U.S.
ZestyAI Identifies 4.3 Million U.S. Homes with High Wildfire Risk.
A staggering $2.15 trillion worth of U.S. residential property is at high risk of wildfire damage, according to a new AI-powered analysis from ZestyAI, the leader in climate and property risk analytics. The study, which assessed 126 million properties nationwide, found that 4.3 million individual homes face heightened wildfire risk—far beyond traditionally recognized high-risk areas.
Using advanced AI models trained on over 2,000 historical wildfires, ZestyAI mapped wildfire exposure at the property level, integrating satellite and aerial imagery, topography, and structure-specific characteristics. While California leads the nation with $1.16 trillion in wildfire-exposed property, other states such as Colorado ($190.5 billion), Utah ($100.3 billion), and North Carolina ($71.2 billion) also face significant risk.
Wildfire Risk is a Nationwide Challenge
While the Western U.S. has historically seen the most severe wildfire activity, ZestyAI’s findings confirm that high-risk properties exist across the country. States like North Carolina (4.6% of homes at high risk), Kentucky (2.9%), Tennessee (2.3%), and even South Dakota (11.0%) are now seeing increased wildfire exposure.
As more homes and businesses are built in fire-prone landscapes, the Wildland-Urban Interface (WUI) continues to expand. This, combined with intensifying climate conditions, is driving higher insurance costs and growing availability concerns. Today, one in eight U.S. homeowners already lacks adequate insurance coverage, and that number is expected to rise.
AI Expands Insurance Access in High-Risk Areas
Attila Toth, Founder and CEO of ZestyAI said:
"Wildfires are threatening more properties than ever before, with billions of dollars in exposure even in areas many people don’t associate with fire risk. Yet, too many homeowners are finding themselves uninsured or underinsured just as these disasters become more frequent and severe. Insurers have traditionally relied on broad, regional models that don’t account for individual property characteristics."
"That means some homeowners are denied coverage even when their true risk is much lower than their neighbors'.’"
AI-driven risk analytics are reshaping the way insurers assess wildfire exposure. By providing granular, property-specific insights, we’re helping insurers make smarter underwriting decisions—keeping coverage available in high-risk areas while ensuring that homeowners who take mitigation steps are recognized.
Last year, our models helped insurers extend coverage to 511,000 properties that had previously struggled to secure insurance due to outdated risk models. In 2025, we expect that number to reach a million, ensuring that even in high-risk areas, responsible homeowners have access to protection when disaster strikes.
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ZestyAI’s AI-Powered Hail and Wind Risk Models Continue Rapid Expansion with Approvals in Five States
Amid rising storm threats, regulatory approvals in Oklahoma, North Carolina, Louisiana, Wisconsin, and Arkansas bring AI-driven risk insights to millions of properties.
Property and climate risk analytics leader ZestyAI today announced regulatory approval of its Severe Convective Storm Suite in Oklahoma, North Carolina, Louisiana, Wisconsin, and Arkansas—covering more than 12 million residential and commercial properties.
Severe convective storms caused $58 billion in insured losses in 2024, marking the second-costliest year on record. A recent ZestyAI analysis revealed that in these five newly approved states, more than 2.1 million properties face a high risk of filing a hail claim—putting over $31 billion in potential roof replacement costs on the line.
Unlike traditional models, ZestyAI’s AI-driven risk models predict the likelihood and severity of claims at the individual property level by analyzing the interaction of local climatology with property-specific characteristics.
Built, tested, and validated on an extensive claims database, the models provide a granular, transparent understanding of risk—delivering the top risk factors for each property, and equipping insurers with the accuracy needed to improve underwriting, optimize pricing, and reduce preventable losses.
“Severe convective storms now cost insurers more than hurricanes, yet traditional underwriting tools don’t provide the precision needed to keep pace with rising losses,” said Bryan Rehor, Director of Regulatory Affairs at ZestyAI.
“These approvals reinforce the insurance industry’s shift toward data-driven, property-level risk assessment."
ZestyAI’s SCS models have now been thoroughly vetted and approved by regulators across 14 states—covering more than 44 million properties across the Midwest, Great Plains, and South.
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Lemonade Partners with ZestyAI to Elevate Underwriting Precision
See how Lemonade is leveraging ZestyAI’s advanced risk insights to strengthen coverage.
ZestyAI announced today that Lemonade, the digital insurance company powered by AI and social impact, has adopted the ZestyAI platform to further optimize underwriting for key catastrophe perils in the U.S., building on the company’s existing technology and underwriting operations.
ZestyAI’s predictive analytics platform leverages advanced AI models to analyze the interplay of climatology, geography, and the unique characteristics of each structure and roof, enabling precise and transparent property risk assessments.
By leveraging unique risk insights, Lemonade can make smarter catastrophe risk mitigation decisions. Additionally, ZestyAI’s proactive regulatory approach, with approvals in key states, simplifies compliance and enables Lemonade to implement these models faster.
“Since our launch, we've always been committed to using technology to create smarter, more accessible insurance products,” said Ori Hanani, Senior Vice President of Insurance at Lemonade.
“In leveraging ZestyAI’s advanced risk models, we're able to further support homeowners in securing comprehensive coverage for their most valuable assets, while also continuing to strengthen our underwriting capabilities as we continue to grow."
Attila Toth, Founder and CEO of ZestyAI, said:
Lemonade is a natural partner for ZestyAI.
“Their innovative approach to insurance and customer-centricity aligns perfectly with our commitment to provide actionable insights that drive smarter risk decisions.”
This partnership reflects a shared vision for addressing increasing climate risks and sets a new standard for resilience, efficiency, and innovation in the insurance industry.
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