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Head-to-head · Insurance Analytics Software

SAS Insurance vs Guidewire Analytics

  • Updated Sep 2026
  • Both researched from official sources
  • 1 check side by side
Higher score SAS Insurance #3 in Insurance Analytics Software 9.2/10 Pricing on request ✓ 1 of 1 features Contact SAS
Guidewire Analytics #4 in Insurance Analytics Software 9.1/10 Pricing on request ✓ 0 of 1 features Contact Guidewire

SAS Insurance leads on 1 check, Guidewire Analytics on 0, 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 scoreSAS Insurance · 9.2/10
  • Most featuresSAS Insurance · 1 of 1

SAS Insurance scores higher on our rubric for insurance analytics software: 9.2 against 9.1 out of 10; our editors rank them #3 and #4.

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

SAS Insurance is the better fit for insurers needing governed analytics and reporting. Guidewire Analytics is the better fit for guidewire-centered insurance analytics teams.

  • SAS Insurance fits best

    Insurers needing governed analytics and reporting

  • Guidewire Analytics fits best

    Guidewire-centered insurance analytics teams

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. It never changes our verdict. How we rank.

Side by side

Feature SAS Insurance 9.2/10 Visit ↗ Guidewire Analytics 9.1/10 Visit ↗
At a glance
Editor score 9.2 9.1
Ranking #3 in Insurance Analytics Software #4 in Insurance Analytics Software
Best for Insurers needing governed analytics and reporting Guidewire-centered insurance analytics teams
Pricing model Paid Paid
Starting price Not published Not published
Free plan Not published Not published
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Docs Docs, Community
Built for Mid-market, Enterprise Mid-market, Enterprise
Features SAS Insurance 1/1 · Guidewire Analytics 0/1
Catastrophe modeling ✓ (best) —
Specs
Analytics areas underwriting; claims; fraud detection; risk and compliance; actuarial modeling; pricing and ratemaking; capital management; regulatory reporting Underwriting and risk selection; pricing; claims triage, settlement and performance; policy, billing and claims business intelligence; cyber risk; catastrophe claims response
Modeling methods actuarial frequency/severity distributions; premium and risk modeling; explainable machine learning; stress testing; sensitivity analysis Neural networks (including deep neural networks), decision trees, GLM/GAM, text mining; import of models built in R and Python
Deployment Hybrid Cloud
Data connectors internal and external historical data sources; prebuilt data-loading capabilities; Python and R model options Guidewire InsuranceSuite policy, billing, and claims data; internal, external, third-party, and cooperative data; third-party data for catastrophe response
Output formats XLS; XBRL; customizable dashboards; web-based ad hoc reports Not published
Our review
Pros
  • Covers underwriting, claims, fraud, actuarial, capital and regulatory workflows
  • Supports Solvency II and ICS 2.0 calculations and reporting
  • Offers explainable machine learning, model governance and stress testing
  • 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
Cons
  • Portfolio capabilities and deployment choices vary by SAS offering
  • Pricing is provided by request rather than published as standard plans
  • Docs are the stated support channel
  • 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
Our verdict

SAS Insurance is a portfolio of analytics and AI solutions for insurers, rather than a single packaged product. Its stated scope spans underwriting, claims, fraud detection, risk and compliance, actuarial modeling, pricing, capital…

Read the review →

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 →
  1. SAS InsuranceInsurance Analytics Software 9.2Pricing on request
  2. Guidewire AnalyticsInsurance Analytics Software 9.1Pricing on request

Strengths and trade-offs

  • SAS Insurance — where it wins

    • Covers underwriting, claims, fraud, actuarial, capital and regulatory workflows
    • Supports Solvency II and ICS 2.0 calculations and reporting
    • Offers explainable machine learning, model governance and stress testing

    Where it doesn't

    • Portfolio capabilities and deployment choices vary by SAS offering
    • Pricing is provided by request rather than published as standard plans
    • Docs are the stated support channel
  • 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
  • SAS Insurance9.2/10 · Pricing on request

    A broad insurance analytics portfolio for insurers managing actuarial, capital and regulatory work.

    Contact SASFull verdict →
  • Guidewire Analytics9.1/10 · Pricing on request

    A broad analytics portfolio built around Guidewire workflows for insurers.

    Contact GuidewireFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

Last updated · How we research and update