Insurance Technology 2026Updated

List of Catastrophe Modeling Software Vendors

Comprehensive directory of catastrophe modeling software vendors used by reinsurance actuaries and underwriters for natural disaster risk pricing, portfolio management, and exposure analysis.

Available Data Fields

Company Name
Platform/Product
Perils Covered
Deployment Model
Geographic Coverage
Resolution
Headquarters
Founded
Licensing Model
API Available
Oasis LMF Compatible
Key Clients

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CompanyPlatformPerilsHQ
Moody's (formerly RMS)Risk Modeler (Intelligent Risk Platform)Hurricane, Earthquake, Flood, Wildfire, SCSNewark, NJ
Verisk (formerly AIR Worldwide)TouchstoneHurricane, Earthquake, Flood, Terrorism, CyberBoston, MA
Karen Clark & CompanyRiskInsightHurricane, Earthquake, Winter Storm, WildfireBoston, MA
KatRiskSpatialKatFlood, Storm Surge, TC Wind, Wildfire, EQBerkeley, CA
JBA Risk ManagementJBA Flood ModelsFlood (Global)Skipton, UK

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Catastrophe Modeling Software: A Market Overview for Risk Professionals

The catastrophe modeling software market, valued at approximately $1.82 billion in 2024, is a critical pillar of the global reinsurance and insurance industry. These platforms translate complex scientific data on natural hazards into probabilistic financial loss estimates, enabling underwriters to price risk and actuaries to manage portfolio aggregations.

The Dominant Vendors

Three companies have historically dominated the cat modeling space since the late 1980s:

Moody's (formerly RMS)
Acquired by Moody's for $2 billion in 2021, RMS pioneered cat modeling alongside AIR. Its cloud-native Intelligent Risk Platform hosts over 700 risk models, including 300+ from Nasdaq's Risk Modelling for Catastrophes. Moody's claims coverage of 70% of Lloyd's managing agents.
Verisk (formerly AIR Worldwide)
AIR Worldwide, which founded the cat modeling industry in 1987, was rebranded as Verisk Extreme Event Solutions in 2022. Its Touchstone platform models risks in over 90 countries. Verisk is developing Synergy Studio, a next-generation modeling platform.
Aon (Impact Forecasting)
Aon's ELEMENTS platform integrates over 135 probabilistic and scenario models covering 12 perils across nearly 90 territories. Uniquely positioned as a broker-developer, Aon offers both advisory and modeling capabilities.

Specialized and Emerging Vendors

Beyond the big three, several firms have carved out strong positions in specific perils or approaches:

VendorSpecialtyDifferentiator
Karen Clark & CompanyMulti-perilFounded by the creator of the first commercial hurricane model; emphasizes model accuracy over complexity
KatRiskFlood, TC Wind, WildfireHigh-resolution physics-based models; secured TA Associates investment in 2023
JBA Risk ManagementGlobal FloodFirst probabilistic global flood model; 5m resolution in key markets
CoreLogic (EQECAT)Multi-perilStrong integration with property data analytics; acquired EQECAT for $20.5M

The Open Source Movement

Oasis Loss Modelling Framework, founded in 2012, is a not-for-profit collectively owned by nearly 40 major insurers and reinsurers. With close to 100 associate members, it hosts 90+ models from 18+ suppliers on a fully open-source simulation engine. Nasdaq's Risk Modelling for Catastrophes platform is built on the Oasis framework, bridging the gap between open-source flexibility and enterprise-grade delivery.

What Drives Vendor Selection

For reinsurance actuaries evaluating these platforms, the key decision factors typically include:

  • Peril and territory coverage — Does the vendor model the specific hazards and regions in your portfolio?
  • Model transparency — Can you inspect assumptions, vulnerability functions, and hazard parameters?
  • Integration — Does it connect to your existing exposure management and pricing workflows?
  • Cloud vs. on-premise — Moody's and Verisk have moved aggressively to cloud-native; smaller vendors vary
  • Regulatory acceptance — Certain jurisdictions require or prefer specific approved models

Frequently Asked Questions

Q.How current is the vendor and product information in this list?

When you request this dataset, our AI crawls vendor websites, press releases, and industry sources in real-time to compile the latest product names, peril coverage, and platform details.

Q.Does this include pricing or contract terms for each vendor?

We capture publicly available pricing indicators (e.g., open-source vs. enterprise license) but not confidential contract terms. Most cat modeling vendors use custom enterprise pricing based on portfolio size and territory.

Q.Can I filter by specific perils like wildfire or flood?

Yes. You can specify any combination of perils (hurricane, earthquake, flood, wildfire, severe convective storm, cyber, etc.) and we will return only vendors with models for those hazards.

Q.Are Lloyd's-approved or NAIC-accepted models flagged?

Regulatory acceptance data is collected from public sources where available, including Lloyd's model validation lists and state insurance department filings. Coverage depends on what each regulator publishes.