Reports & Research
Explore proprietary research packed with data, insights, and real-world findings to help carriers make smarter decisions.
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2025 Storm Risk Webinar Now Available On Demand
Stream our webinar for a preview of severe convective storm risk in 2025 and see how AI-driven insights can help you stay prepared.
Severe convective storms are becoming more frequent and costly, putting pressure on insurers to refine underwriting and risk management strategies.
On April 2, our experts covered:
- Key drivers behind increasing severe storm losses
- What La Niña means for the 2025 season
- How AI-powered risk models improve risk segmentation
- Live Q&A – Get expert answers to your toughest questions!
Missed the live event? Stream now!

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.
AI in Insurance: How to Stay Ahead of the Curve
Artificial intelligence is reshaping the P&C insurance industry, offering new ways to streamline underwriting, enhance risk management, and navigate evolving regulations.
But as AI adoption accelerates, insurers must ensure they’re using these technologies effectively—balancing innovation with compliance.
Our latest guide explores the most impactful AI applications in insurance, including:
- AI-powered underwriting and predictive analytics
- How regulators are shaping the future of AI in insurance
- Best practices for integrating AI while ensuring fairness and transparency
As AI-driven tools become the new standard, insurers who adapt early will gain a competitive edge.
Download our free guide to leverage these innovations while staying aligned with evolving regulations.

The Truth About Roof Age: 5 Critical Insights Every Insurer Should Know
For insurers, accurate roof age data is essential. Yet, self-reported information often falls short.
Our research shows that 1 in 5 homeowners underreport roof age by an average of 8 years. These discrepancies create hidden risks that can impact underwriting, pricing, and overall portfolio performance.
How can insurers get a more accurate picture?
AI-driven insights provide 97% nationwide coverage, combining verified roof age with real-time condition data for a more comprehensive risk assessment.
Download our latest research for a breakdown of five critical insights that every insurer should know about roof age.
Plus, get access to The Roof Age Advantage, an exclusive video that unveils how AI is setting a new standard for risk evaluation.

Now Streaming: Navigating California's Evolving Insurance Landscape
The California Department of Insurance (CDI) has introduced significant updates as part of its Sustainable Insurance Strategy. These new bulletins and draft regulations aim to accelerate regulatory approvals, embrace forward-looking models, and address critical reinsurance challenges.
But what do these changes mean for insurance carriers—and how can you prepare?
On January 29, 2025, we hosted a webinar, California’s Evolving Insurance Landscape: The Future of Insurance in the Golden State.
Designed for Legal & Compliance professionals, Product Managers, Underwriters, Actuaries, and Risk & Innovation leaders, the discussion featured expert insights from:
- Michael Peterson, Deputy Commissioner of Climate & Sustainability, California Department of Insurance
- Karen Collins, VP, Property & Environmental, APCIA
- Bryan Rehor, Head of Regulatory Affairs, ZestyAI
Missed the live event but want to gain actionable insights from industry leaders at the forefront of California’s insurance evolution? Watch on demand now!
See How Insights Turn Into Decisions
ZestyAI transforms data into action. Get a demo to see how the same AI powering our reports helps carriers make faster, smarter, regulator-ready decisions.
