Published October 2026.
Direct Answer
Catastrophe modeling spend in 2026 usually splits into enterprise software licenses, per-run or bureau fees, and optional data or analytics add-ons. Enterprise licenses for the major vendor platforms commonly run from the tens of thousands of dollars per year into seven figures annually, depending on peril modules, geographic coverage, user seats, and whether analytics or regulatory filing tools are included. Per-run pricing—typical when a carrier, MGA, or broker submits a portfolio to a modeling bureau rather than running models in-house—often lands in a per-location or per-policy band from a few dollars to several tens of dollars per run for standard property lines, with surcharges for detailed engineering data or secondary perils. Primary insurers and large reinsurers typically pay the largest license bills; brokers and MGAs more often pay bureau or subscription access fees and pass costs through to clients or embed them in program economics. For what that money buys, see the sections below; for how models produce loss estimates, see Catastrophe Modeling: The Complete Guide.
Licensing models: enterprise seats, per-run fees, and data add-ons
Vendor economics cluster around three patterns: full enterprise licenses, transactional per-run or bureau pricing, and recurring data-feed subscriptions layered on either.
Enterprise and seat licenses. AIR, RMS, and Verisk (among others) sell multi-year enterprise agreements to carriers and reinsurers that include core modeling engines, selected peril and territory modules, a defined number of concurrent or named users, and baseline maintenance that covers model version releases. Pricing is quoted privately; contracts rarely publish list prices. Buyers negotiate modules (for example, North Atlantic hurricane, U.S. earthquake, European windstorm), server or cloud deployment rights, and whether exposure management and portfolio analytics sit in the same entitlement.
Per-run and bureau pricing. When an organization lacks a full license—or needs independent verification—it sends exposures to a licensed bureau or to a counterparty with enterprise access. The fee is tied to volume: policies, locations, or total insured value processed. MGAs, regional carriers, and program administrators often use this model for peak underwriting seasons or delegated specialty programs. Some reinsurers and brokers operate shared platforms and charge participants per submission or per account roll-up.
Data and analytics add-ons. High-resolution hazard layers, geocoding enrichment, building-level replacement-cost feeds, and climate-conditioned or forward-looking hazard scenarios typically carry separate annual fees. These extend the core license rather than replacing it. Teams tracking climate risk pricing and catastrophe model updates often budget add-ons alongside maintenance because regulatory and rating discussions increasingly reference supplemental views beyond default vendor catalogs.
Realistic cost ranges as of 2026
Public pricing is scarce; the ranges below reflect common industry reporting and procurement patterns, not any single vendor quote. Treat them as planning bands and confirm numbers in RFPs.
Enterprise licenses for a mid-size U.S. property carrier with multi-peril domestic coverage and a modest user count typically fall somewhere between roughly $500,000 and $2 million per year in total annual contract value when maintenance, core modules, and standard support are bundled—though smaller regional footprints with fewer perils can land below that band, and global multiline groups with many seats and custom analytics can exceed it by a wide margin. Entry-level or limited-peril entitlements for specialty insurers or reinsurance sidecars sometimes start in the low hundreds of thousands annually.
Per-run bureau economics for standard commercial property schedules often cluster from about $3 to $25 per location or policy equivalent for basic geocoding and primary-peril views, with higher tiers when engineering-style building attributes or flood, surge, or secondary-peril modules are invoked. Portfolio roll-ups for reinsurance pricing may be quoted as flat project fees from five figures into six figures depending on account count and iteration rounds.
Data-feed and scenario add-ons commonly add five figures to low six figures per year per feed or region bundle. Implementation, cloud surcharges, and excess API use can add 10–30 percent to first-year spend for shops leaving legacy servers.
None of these figures should be read as list prices from AIR, RMS, or Verisk; they are composite ‘what buyers report’ ranges for budgeting and board questions about the catastrophe modeling fee.
Who pays across the value chain
Primary carriers and mutuals. Balance-sheet insurers with material property books almost always carry the enterprise license and the largest internal modeling teams. The catastrophe modeling fee sits in IT and analytics budgets, sometimes split with underwriting when exposure management platforms are shared. Regulatory filing and rate-support work is a major internal consumer of that spend.
Reinsurers. Global reinsurers mirror carrier license structures and often maintain parallel vendor stacks for treaty and facultative pricing. They pay for deep portfolio analytics tied to catastrophe portfolio management, accumulation, and PML workflows. Cedents rarely reimburse those license costs directly; they show up in reinsurance quotes and capacity allocation described in the reinsurance professional guide.
Brokers and intermediaries. Large brokers may hold enterprise access for placement analytics, catastrophe bond structuring, or client reporting, or they may purchase per-account runs from bureaus and embed fees in brokerage or advisory charges. Wholesale and specialty brokers on delegated authority programs often pass per-run costs to MGAs or program carriers contractually.
MGAs and insurtechs. These entities rarely justify a full enterprise license at launch. They rely on bureau per-run pricing, rented seats on a carrier’s or reinsurer’s platform, or white-label analytics from capacity providers. As premium volume grows, unit economics push some toward partial licenses or dedicated cloud tenant deals. Property program mechanics and limit structures that drive exposure counts are covered in the property insurance professional guide.
What the fee actually buys
A license or run fee is not a single ‘model run’ button. Buyers receive a bundle of intellectual property, software, and services.
Hazard modules supply event catalogs, footprints, and intensity fields for agreed perils and regions. Vulnerability modules translate hazard at the asset level into damage ratios by construction and occupancy; the engineering assumptions are vendor-specific, and curve-level detail lives in the parent catastrophe modeling guide rather than here. Financial modules apply policy terms—limits, deductibles, coinsurance, and reinsurance placeholders—to produce insured loss estimates suitable for underwriting and reporting, aligned with concepts in limits, deductibles, and coinsurance practice.
Maintenance and model updates deliver new event sets, vulnerability revisions, and bug fixes on vendor cadences—often annually for major peril refreshes. Contract language defines whether updates are mandatory (and potentially repriced) or optional modules.
Support and training range from help-desk access to dedicated client teams for Tier 1 accounts. Regulatory and rating filings sometimes require vendor-certified output formats or documentation; enterprise deals may include filing assistance or pre-built regulatory views where vendors offer them.
Per-run bureau fees typically buy a defined peril set, standard financial treatment, and a report artifact—not unlimited reruns, custom vulnerability, or full portfolio optimization tooling unless separately scoped.
How buyers evaluate ROI
Finance and underwriting leaders rarely ask whether modeling is ‘worth it’ in the abstract; they tie spend to decisions with dollar consequences.
Rate adequacy and portfolio mix. Modeled loss costs anchor technical rates for property lines. If modeled average annual loss or tail metrics drift from experience, product teams adjust class plans, moratoriums, or geographic appetite before regulatory scrutiny intensifies.
Reinsurance purchasing. Modeled PML and TVaR-style metrics feed treaty attachment, retention, and pricing discussions. A modeling fee that improves visibility into zone overlap or sub-peril gaps can outweigh its cost in a single renewal if retention or collateral requirements move favorably.
Accumulation and growth controls. Exposure management against county, zip, or custom zones prevents silent aggregation in fast-growing books. ROI shows up as avoided surprise post-event and as better alignment with capital models.
Counterparty and investor credibility. Reinsurers, regulators, and rating agencies expect consistent vendor use or documented equivalents. Underinvestment surfaces in model risk management findings or slower approvals for new products.
Modeling without an enterprise license
Smaller carriers, MGAs, and startups have practical paths that stay within economics proportionate to premium.
Bureau per-run contracts with minimum commits spread cost across the underwriting year. Capacity-provider platforms let delegated underwriters model on the reinsurer’s or carrier’s entitlement, sometimes at no direct license fee but with exclusivity or margin expectations. Consulting and analytics firms offer project-based modeling for rate filings or one-off portfolio reviews. Parametric and index-based products reduce bespoke cat modeling for some risks but do not eliminate exposure analytics for the rest of the book.
Hybrid approaches—light internal analytics plus selective bureau runs for peak zones—are common until written premium and regulatory footprint justify a full RFP to AIR, RMS, Verisk, or alternative vendors. Model risk governance still applies: document assumptions, version IDs, and who performed the run, regardless of fee structure.