Severe Storm Reports
Storm event reports with damage estimates — severe weather intelligence.
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What Is Severe Storm Reports?
Severe storm reports are intelligence datasets documenting storm event occurrences with quantified damage estimates, reconstruction costs, and loss projections. These reports provide critical data on severe convective storms—including hailstorms, tornadoes, and violent thunderstorms—that drive significant economic losses across residential and commercial properties. The data captures both insured losses and total reconstruction cost values, enabling stakeholders in insurance, real estate, disaster management, and infrastructure planning to assess risk exposure and prepare for extreme weather scenarios. In 2024, severe convective storms caused approximately $51 billion in global insured losses, with the U.S. experiencing 17 separate billion-dollar storm disasters. More than 43.5 million U.S. properties face moderate or greater hail risk, representing $17.84 trillion in reconstruction cost value. This data category serves as foundational intelligence for understanding the financial and physical impacts of severe weather at scale.
Market Data
43.5 million
U.S. Properties at Hail Risk
Source: Cotality 2026 Severe Convective Storm Risk Report
$17.84 trillion
Broader Market Context: Reconstruction Cost Value (At-Risk Properties)
Source: Cotality 2026 Severe Convective Storm Risk Report
$51 billion
Global Insured Losses from Severe Convective Storms (2024)
Source: Swiss Re via EigenRisk
17 events
U.S. Billion-Dollar Storm Disasters (2024)
Source: NOAA via EigenRisk
$2.915 trillion
Broader Market Context: Cumulative Cost of U.S. Weather Disasters (1980–2024)
Source: NOAA National Centers for Environmental Information
Who Uses This Data
What AI models do with it.do with it.
Insurance & Risk Assessment
Insurers use storm damage estimates and loss projections to underwrite property policies, set premiums, and model catastrophe exposure. Hail damage has become the primary driver of severe convective storm losses, requiring granular risk data for portfolio management.
Real Estate & Property Valuation
Real estate platforms and brokers use severe weather risk data to inform property valuations, buyer disclosures, and market assessments. Storm damage history and reconstruction costs directly impact property values and investment decisions.
Disaster Preparedness & Emergency Management
Government agencies, municipal planners, and emergency response teams use historical storm reports to design shelter infrastructure, plan resource allocation, and establish early warning protocols for at-risk communities.
Infrastructure & Utilities Planning
Energy, utilities, and transportation operators use severe weather intelligence to harden infrastructure, forecast operational disruptions, and prioritize maintenance in high-risk corridors.
What Can You Earn?
What it's worth.worth.
Storm Tracking & Alert Apps
Varies
Global storm tracking apps market valued at $914M in 2024, growing to $1.53B by 2034 at 5.6% CAGR. Pricing depends on deployment model, functionality, and user base size.
Weather Data Services (Broader Market)
Varies
Weather data services market segmented by real-time, forecast, and historical data types. Pricing varies by organization size, forecast range, and end-user industry including aviation, energy, and logistics.
Disaster Restoration Services (Related Market)
Varies
Disaster restoration market valued at $45.2B in 2026, projected to reach $58.46B by 2031 at 5.28% CAGR. Pricing reflects water damage, fire damage, and specialty restoration services.
What Buyers Expect
What makes it valuable.valuable.
Data Accuracy & Timeliness
Buyers require precise damage estimates and rapid reporting. The industry identifies data accuracy and timeliness as critical challenges; buyers demand near-real-time storm event intelligence to inform operational decisions.
Comprehensive Loss Documentation
Reports must quantify both insured losses and total reconstruction cost values, enabling buyers to assess financial impact across different risk segments and property types.
Geographic Granularity
Data must be segmented by region, property type (residential/commercial), and storm hazard (hail, tornadoes, convective storms), allowing buyers to model exposure at neighborhood or portfolio scales.
Historical Context & Validation
Buyers expect validation against official sources (NOAA, insurance loss databases) and historical trend analysis to assess event severity and establish confidence in damage projections.
Companies Active Here
Who's buying.buying.
Underwriting, catastrophe modeling, premium setting, and portfolio risk management for property and casualty portfolios exposed to severe convective storm losses.
Property risk disclosure, valuation adjustment, and buyer education on extreme weather exposure. Recently facing industry pressure regarding weather risk transparency.
Disaster preparedness planning, resource allocation, shelter design, and early warning system deployment based on historical severe weather events.
Grid hardening, operational forecasting, maintenance prioritization, and resilience planning in response to severe convective storm risk.
Publishing proprietary severe convective storm risk reports, damage projections, and property-level vulnerability assessments for insurance and real estate buyers.
FAQ
Common questions.questions.
What data points are included in severe storm reports?
Severe storm reports typically include event occurrence date and location, damage type (hail, wind, tornado), estimated insured losses, total reconstruction cost values, affected property counts, and geographic segmentation by region and property classification. Reports often reference official sources such as NOAA disaster declarations and insurance loss databases.
Why is hail damage becoming more significant in severe storm data?
Hail has emerged as the primary driver of severe convective storm losses, with insured loss projections in extreme scenarios rivaling those of Category 4 hurricanes. The 2026 Cotality report found over 43.5 million U.S. properties at moderate or greater hail risk, representing $17.84 trillion in reconstruction cost value.
How do buyers use severe storm data in real estate transactions?
Real estate platforms historically used severe weather risk data to inform property valuations, provide buyer disclosures on flood, wind, and wildfire exposure, and support investment decision-making. However, the real estate industry has recently pressured platforms to remove or limit extreme weather risk data visibility due to concerns about market impact.
What market opportunities exist for severe storm data providers?
Storm tracking apps market is valued at $914 million in 2024 and projected to grow to $1.53 billion by 2034 at 5.6% CAGR, driven by smartphone proliferation, rising extreme weather frequency, demand for real-time alerts, and disaster preparedness awareness. Weather data services and disaster restoration markets also represent adjacent opportunities leveraging storm event intelligence.
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