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Head-to-head · Insurance Analytics Software

Aon PathWise vs SAS Insurance

  • Updated Sep 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Aon PathWise #1 in Insurance Analytics Software 9.4/10 Pricing on request ✓ 0 of 1 features Visit Aon
SAS Insurance #3 in Insurance Analytics Software 9.2/10 Pricing on request ✓ 1 of 1 features Contact SAS

Aon PathWise leads on 0 checks, SAS Insurance 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 scoreAon PathWise · 9.4/10
  • Most featuresSAS Insurance · 1 of 1

Aon PathWise scores higher on our rubric for insurance analytics software: 9.4 against 9.2 out of 10; our editors rank them #1 and #3.

SAS Insurance offers catastrophe modeling; Aon PathWise doesn't publish it. On deployment, SAS Insurance gives you Hybrid where Aon PathWise offers Cloud.

Aon PathWise is the better fit for enterprise actuarial and financial risk analytics. SAS Insurance is the better fit for insurers needing governed analytics and reporting.

  • Aon PathWise fits best

    Enterprise actuarial and financial risk analytics

  • SAS Insurance fits best

    Insurers needing governed analytics and reporting

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 Aon PathWise 9.4/10 Visit ↗ SAS Insurance 9.2/10 Visit ↗
At a glance
Editor score 9.4 9.2
Ranking #1 in Insurance Analytics Software #3 in Insurance Analytics Software
Best for Enterprise actuarial and financial risk analytics Insurers needing governed analytics and reporting
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 Web
Built for Enterprise Mid-market, Enterprise
Features Aon PathWise 0/1 · SAS Insurance 1/1
Catastrophe modeling Not published ✓ (best)
Specs
Analytics areas pricing; product development; projections; valuation; financial reporting; capital management; asset-liability management; hedging; economic scenario generation; risk analytics underwriting; claims; fraud detection; risk and compliance; actuarial modeling; pricing and ratemaking; capital management; regulatory reporting
Modeling methods stochastic simulations; nested simulations; real-world and risk-neutral economic scenario generation actuarial frequency/severity distributions; premium and risk modeling; explainable machine learning; stress testing; sensitivity analysis
Deployment Cloud Hybrid
Data connectors Python-based ETL tools and scripts; REST API; upstream data sources and downstream finance and risk systems; integrated data warehouse internal and external historical data sources; prebuilt data-loading capabilities; Python and R model options
Output formats Not published XLS; XBRL; customizable dashboards; web-based ad hoc reports
Our review
Pros
  • Covers pricing, valuation, capital, ALM, hedging and financial reporting.
  • Runs large-scale policy-level, stochastic and nested simulations on a GPU-native engine.
  • Combines ETL, workflow orchestration, version control and audit trails.
  • 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
Cons
  • Pricing requires contacting Aon rather than selecting a published plan.
  • The enterprise focus may not suit smaller insurers seeking a narrower tool.
  • Deployment approaches are tailored to client needs and require planning with Aon.
  • 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
Our verdict

Aon PathWise is an enterprise actuarial modeling platform for life and annuity insurers and reinsurers. Its scope spans pricing and product development through projections, valuation, financial reporting, capital management,…

Read the review →

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 →
  1. Aon PathWiseInsurance Analytics Software 9.4Pricing on request
  2. SAS InsuranceInsurance Analytics Software 9.2Pricing on request

Strengths and trade-offs

  • Aon PathWise — where it wins

    • Covers pricing, valuation, capital, ALM, hedging and financial reporting.
    • Runs large-scale policy-level, stochastic and nested simulations on a GPU-native engine.
    • Combines ETL, workflow orchestration, version control and audit trails.

    Where it doesn't

    • Pricing requires contacting Aon rather than selecting a published plan.
    • The enterprise focus may not suit smaller insurers seeking a narrower tool.
    • Deployment approaches are tailored to client needs and require planning with Aon.

  • 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
  • Aon PathWise9.4/10 · Pricing on request

    A broad actuarial and risk platform for enterprise life and annuity insurers and reinsurers.

    Visit AonFull verdict →
  • SAS Insurance9.2/10 · Pricing on request

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

    Contact SASFull verdict →

More comparisons

All insurance analytics software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

Last updated · How we research and update