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Head-to-head · Insurance Analytics Software

Guidewire Analytics vs Verisk Insurance Analytics

  • Updated Sep 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Guidewire Analytics #4 in Insurance Analytics Software 9.1/10 Pricing on request ✓ 0 of 1 features Contact Guidewire
Verisk Insurance Analytics #5 in Insurance Analytics Software 9.0/10 Pricing on request ✓ 1 of 1 features Contact Verisk

Guidewire Analytics leads on 0 checks, Verisk Insurance Analytics on 1, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreGuidewire Analytics · 9.1/10
  • Most featuresVerisk Insurance Analytics · 1 of 1

Guidewire Analytics scores higher on our rubric for insurance analytics software: 9.1 against 9.0 out of 10; our editors rank them #4 and #5.

Verisk Insurance Analytics offers catastrophe modeling; Guidewire Analytics doesn't. On deployment, Verisk Insurance Analytics gives you Hybrid where Guidewire Analytics offers Cloud.

Guidewire Analytics is the better fit for guidewire-centered insurance analytics teams. Verisk Insurance Analytics is the better fit for insurers modeling catastrophe risk across portfolios.

  • Guidewire Analytics fits best

    Guidewire-centered insurance analytics teams

  • Verisk Insurance Analytics fits best

    Insurers modeling catastrophe risk across portfolios

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. How we rank.

Side by side

Feature Guidewire Analytics 9.1/10 Visit ↗ Verisk Insurance Analytics 9.0/10 Visit ↗
At a glance
Editor score 9.1 9.0
Ranking #4 in Insurance Analytics Software #5 in Insurance Analytics Software
Best for Guidewire-centered insurance analytics teams Insurers modeling catastrophe risk across portfolios
Pricing model Paid Paid
Starting price Not published Not published
Free plan Not published Not published
Free trial — —
Deployment Cloud Cloud, Self-hosted
Platforms Web Windows, Web
Support Docs, Community Docs
Integrations 7 integrations 1 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Guidewire Analytics 0/1 · Verisk Insurance Analytics 1/1
Catastrophe modeling — ✓ (best)
Specs
Analytics areas Underwriting and risk selection; pricing; claims triage, settlement and performance; policy, billing and claims business intelligence; cyber risk; catastrophe claims response underwriting, claims, fraud detection, market analysis, catastrophe risk assessment
Modeling methods Neural networks (including deep neural networks), decision trees, GLM/GAM, text mining; import of models built in R and Python catastrophe loss modeling; geospatial deterministic risk analysis; custom non-Verisk models
Deployment Cloud Hybrid
Data connectors Guidewire InsuranceSuite policy, billing, and claims data; internal, external, third-party, and cooperative data; third-party data for catastrophe response exposure data from files and databases; raster and vector GIS layers; web map layers; external contract and reinsurance data
Output formats Not published CSV, RPX, PDF
Our review
Pros
  • Supports predictive models across underwriting, pricing, and claims
  • Curates policy, billing, and claims data for analytics and reporting
  • Connects with Guidewire core systems and third-party BI tools
  • Models catastrophe loss for individual risks, policies, and portfolios
  • Analyzes exposure with geospatial, hazard, loss, and reinsurance tools
  • Imports external models and exports data, results, and reports
Cons
  • Cloud deployment may not suit teams requiring on-premises software
  • The portfolio spans multiple products rather than one standalone application
  • Its strongest fit is for insurers centered on Guidewire systems
  • A broad portfolio rather than one standalone application
  • Sold through contact with sales rather than a published price
  • Documented support channel is limited to documentation
Our verdict

Guidewire Analytics is a portfolio of analytics products for property and casualty insurers and reinsurers. It is aimed at insurance teams making underwriting, pricing, claims, and business performance decisions, particularly organizations…

Read the review →

Verisk Insurance Analytics is a portfolio of data, analytics, and software for insurers and reinsurers, spanning underwriting, claims, fraud detection, market analysis, and catastrophe risk assessment. Touchstone is the documented example…

Read the review →
  1. Guidewire AnalyticsInsurance Analytics Software 9.1Pricing on request
  2. Verisk Insurance AnalyticsInsurance Analytics Software 9.0Pricing on request

Strengths and trade-offs

  • Guidewire Analytics — where it wins

    • Supports predictive models across underwriting, pricing, and claims
    • Curates policy, billing, and claims data for analytics and reporting
    • Connects with Guidewire core systems and third-party BI tools

    Where it doesn't

    • Cloud deployment may not suit teams requiring on-premises software
    • The portfolio spans multiple products rather than one standalone application
    • Its strongest fit is for insurers centered on Guidewire systems
  • Verisk Insurance Analytics — where it wins

    • Models catastrophe loss for individual risks, policies, and portfolios
    • Analyzes exposure with geospatial, hazard, loss, and reinsurance tools
    • Imports external models and exports data, results, and reports

    Where it doesn't

    • A broad portfolio rather than one standalone application
    • Sold through contact with sales rather than a published price
    • Documented support channel is limited to documentation
  • Guidewire Analytics9.1/10 · Pricing on request

    A broad analytics portfolio built around Guidewire workflows for insurers.

    Contact GuidewireFull verdict →
  • Verisk Insurance Analytics9.0/10 · Pricing on request

    A broad insurance analytics portfolio with Touchstone for catastrophe and exposure modeling.

    Contact VeriskFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

Last updated · How we research and update