The Best Insurance Analytics Software in 2026
We researched insurance analytics software using official vendor websites, including pricing pages, plan tables, and product documentation. Our rankings focus on the category’s core job, value for money, and verified features, helping insurers compare tools for actuarial modeling, underwriting, pricing, claims, fraud, catastrophe, and portfolio decisions.
Our top picks
-
Top ranked
Aon PathWise#1 of 309.4/10A broad actuarial and risk platform for enterprise life and annuity insurers and reinsurers.
Pricing on request
-
Runner-up
FIS Insurance Risk Suite#2 of 309.3/10A broad actuarial and risk suite for insurers that need connected modeling and reporting.
Pricing on request
-
#3 ranked
SAS Insurance#3 of 309.2/10A broad insurance analytics portfolio for insurers managing actuarial, capital and regulatory work.
Pricing on request
Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. How we rank.
The full ranking 30 tools, best first
-
Best forEnterprise actuarial and financial risk analytics
A broad actuarial and risk platform for enterprise life and annuity insurers and reinsurers.
9.4/10★★★★★Visit Aon -
Best forInsurers needing end-to-end actuarial risk management
A broad actuarial and risk suite for insurers that need connected modeling and reporting.
- Catastrophe modeling
9.3/10★★★★★Visit FIS -
Best forInsurers needing governed analytics and reporting
A broad insurance analytics portfolio for insurers managing actuarial, capital and regulatory work.
- Catastrophe modeling
9.2/10★★★★★Contact SAS -
Best forGuidewire-centered insurance analytics teams
A broad analytics portfolio built around Guidewire workflows for insurers.
9.1/10★★★★★Contact Guidewire -
Best forInsurers modeling catastrophe risk across portfolios
A broad insurance analytics portfolio with Touchstone for catastrophe and exposure modeling.
- Catastrophe modeling
9.0/10★★★★☆Contact Verisk -
Best forInsurers analyzing portfolio and property risk
Portfolio, property and casualty risk analytics with applications, APIs and consulting.
- Catastrophe modeling
8.9/10★★★★☆Contact Swiss Re -
Best forInsurers managing capital, solvency and profitability
Capital, profitability and Solvency II analysis with cloud and desktop deployment.
- Catastrophe modeling
8.8/10★★★★☆Visit WTW -
Best forCommercial insurers modernizing pricing workflows
A governed pricing and portfolio platform for commercial insurers, reinsurers, and MGAs.
- Catastrophe modeling
8.6/10★★★★☆Visit site -
Best forLife insurers needing actuarial projections and ALM
A life-insurance modeling system spanning pricing, projections, reporting and ALM.
8.5/10★★★★☆Contact Milliman -
Best forInsurers governing pricing and underwriting analytics
Govern pricing models and underwriting workflows while connecting them to core systems.
8.4/10★★★★☆Visit Optalitix -
Best forEstablished claims and policy fraud programs
A fraud-focused analytics product for insurers managing claims, policy and network investigations.
8.3/10★★★★☆Contact PwC -
Best forPersonal-injury medical claims operations
Medical-record analysis and advisor workflows for personal-injury claims teams.
7.9/10★★★★☆Visit Verisk -
Best forInsurance compliance and adverse-media screening
A compliance-focused risk database with AI filtering and continuous monitoring.
7.9/10★★★★☆Visit Moody’s Grid -
Best forMid-market and enterprise insurers monitoring supplier risk
Supplier risk intelligence with monitoring, alerts, scorecards and supply-chain mapping.
7.9/10★★★★☆Contact Moody’s -
Best forBenefits enrollment and COBRA administration
A configurable benefits and COBRA administration platform for mid-market and enterprise employers.
7.9/10★★★★☆Visit WTW -
Best forInsurance organizations handling legal research
Legal research, document analysis and alerts—not insurance analytics.
7.9/10★★★★☆Visit Lexis+ -
Best forP&C teams building and deploying rating models
Rating-focused cloud software for modeling, versioning, testing, and deploying insurance rates.
7.9/10★★★★☆Visit Akur8 -
Best forCatastrophe modeling and portfolio accumulation teams
Broad multi-peril modeling and portfolio analytics delivered through web and API workflows.
- Catastrophe modeling
7.8/10★★★★☆Visit KatRisk -
Best forFlood catastrophe and reinsurance portfolio analytics
Specialized flood risk analytics with portfolio, reinsurance and climate modeling.
- Catastrophe modeling
7.7/10★★★★☆Contact JBA -
Best forInsurers and reinsurers analyzing cyber portfolios
Models cyber portfolio losses, accumulation and stress scenarios for insurance decisions.
- Catastrophe modeling
7.6/10★★★★☆Visit CyberCube -
Best forProperty insurers needing AI risk scoring
AI property risk scores and parcel insights for underwriting, pricing and portfolio decisions.
- Catastrophe modeling
7.5/10★★★★☆Contact ZestyAI -
Best forInsurers assessing property and peril risk
AI property insights connect roof condition, peril risk and portfolio analysis.
- Catastrophe modeling
7.4/10★★★★☆Visit Betterview -
Best forProperty underwriting and inspection optimization
Geospatial property insights for insurers optimizing underwriting, pricing and inspections.
- Catastrophe modeling
7.3/10★★★★☆Visit Cape Analytics -
Best forInsurance product and pricing configuration teams
Cloud tools for insurers configuring products, rating logic and pricing decisions.
7.2/10★★★★☆Contact Earnix -
Best forActuarial teams handling IFRS 17 and Solvency II
A broad actuarial suite for insurers managing valuation, capital and regulatory models.
7.1/10★★★★☆Visit site -
Best forInsurance fraud and compliance screening teams
Connects underwriting, claims, investigations and compliance screening in a cloud platform.
7.0/10★★★★☆Visit FRISS -
Best forCommercial insurers automating submission intake and triage
AI-driven intake and triage for insurers routing structured risk data into core systems.
6.9/10★★★☆☆Visit Cytora -
Best forMid-market and enterprise commercial underwriters
Commercial underwriting intelligence for prefill, risk discovery, and portfolio monitoring.
6.8/10★★★☆☆Visit Planck -
Best forEnterprise claims fraud investigation
Cloud software that prioritizes suspicious claims and helps investigate fraud networks.
6.7/10★★★☆☆Visit site -
Best forReserving and solvency trend analysis
Deep reserving and solvency analysis for actuarial teams working with long-tail liabilities.
6.6/10★★★☆☆Contact Insureware
No tools match those filters.
Compare at a glance
| # | Tool | Free plan | Paid from | Analytics areas | Modeling methods | Catastrophe modeling | Score |
|---|---|---|---|---|---|---|---|
| 1 | Aon PathWise | — | — | pricing; product development; projections; valuation; financial reporting; capital management; asset-liability management; hedging; economic scenario generation; risk analytics | stochastic simulations; nested simulations; real-world and risk-neutral economic scenario generation | — | 9.4 |
| 2 | FIS Insurance Risk Suite | — | — | Actuarial modeling; cash-flow and asset-liability management; capital modeling; pricing; reserving; claims analysis; reinsurance; risk and regulatory reporting | Deterministic and stochastic scenarios; actuarial models; machine-learning predictive analytics; generalized linear models (GLMs); generalized additive models (GAMs); tree, boosted and bagged methods; unsupervised clustering and anomaly detection | Yes | 9.3 |
| 3 | SAS Insurance | — | — | underwriting; claims; fraud detection; risk and compliance; actuarial modeling; pricing and ratemaking; capital management; regulatory reporting | actuarial frequency/severity distributions; premium and risk modeling; explainable machine learning; stress testing; sensitivity analysis | Yes | 9.2 |
| 4 | Guidewire Analytics | — | — | Underwriting and risk selection; pricing; claims triage, settlement and performance; policy, billing and claims business intelligence; cyber risk; catastrophe claims response | Neural networks (including deep neural networks), decision trees, GLM/GAM, text mining; import of models built in R and Python | No | 9.1 |
| 5 | Verisk Insurance Analytics | — | — | underwriting, claims, fraud detection, market analysis, catastrophe risk assessment | catastrophe loss modeling; geospatial deterministic risk analysis; custom non-Verisk models | Yes | 9.0 |
| 6 | Swiss Re P&C Analytics | — | — | Portfolio analysis and optimisation; property risk and exposure; motor underwriting and pricing; commercial insurance; liability pricing and accumulation risk; market growth strategies | Proprietary risk modelling; actuarial expertise; data analytics; forward-looking exposure-based modelling; predictive property risk model | Yes | 8.9 |
| 7 | WTW Igloo | — | — | Capital and risk modeling; portfolio profitability and risk; reinsurance and exposure limits; Solvency II calculations; capital projections; regulatory reporting | Solvency II standard formula; configurable internal and partial internal capital models; scenario and sensitivity analysis | Yes | 8.8 |
| 8 | hyperexponential hx | No | — | Submission triage; pricing and rating; risk assessment; renewals; portfolio monitoring and analysis; reinsurance management; actuarial modeling | Python-based actuarial calculations; quota-share, excess-of-loss, and property catastrophe treaty models; loss-curve benchmarking; what-if and scenario analysis | Yes | 8.6 |
| 9 | Milliman MG-ALFA | No | — | Product development and pricing; financial management and reporting; risk management; regulatory compliance; asset-liability management; planning and forecasting | Actuarial projections; stochastic financial projections | — | 8.5 |
| 10 | Optalitix | — | — | Pricing and underwriting analytics; quote and conversion analysis; model performance; portfolio risk exposure; pricing trends; reinsurance pricing and loss analysis | Excel, Python, R, SQL and GLM models; loss distributions; IBNR forecasts; loss simulation; scenario testing | — | 8.4 |
| 11 | PwC Risk Detect for Insurance | — | — | Claims fraud; policy fraud; organized fraud networks; investigation analytics | Multi-layered analytics; risk indicators; machine learning; generative AI | — | 8.3 |
| 12 | Mavera DSS | — | — | — | — | — | 7.9 |
| 13 | Moody's Grid | — | — | — | — | — | 7.9 |
| 14 | Moody’s Supplier Risk | — | — | — | — | — | 7.9 |
| 15 | BenefitConnect | — | — | — | — | — | 7.9 |
| 16 | Lexis+ | No | — | — | — | — | 7.9 |
| 17 | Akur8 | No | — | — | — | — | 7.9 |
| 18 | KatRisk | — | — | Underwriting; pricing; exposure management; portfolio analytics; accumulation and concentration analysis; event response; reinsurance and ILS optimization; risk assessment | Physics-based hydraulic and hydrodynamic modeling; probabilistic, deterministic, and stochastic simulation; financial loss modeling; seismic hazard, exposure, and vulnerability modeling | Yes | 7.8 |
| 19 | JBA Risk Management | — | — | Flood exposure and hazard; reinsurance and portfolio pricing; capital requirements; accumulation control; portfolio management; climate risk; parametric insurance; crop risk | Probabilistic catastrophe modelling; statistical and physical event modelling; physical crop simulation; global climate model-derived change factors | Yes | 7.7 |
| 20 | CyberCube Portfolio Manager | — | — | pricing; reserving; profitability analysis; portfolio planning; exposure and accumulation management; reinsurance and retrocession planning; risk transfer; underwriting; capital planning; board reporting | probabilistic scenario modeling; cyber catastrophe modeling; predictive attritional-loss modeling; stochastic simulation; actuarial and catastrophe-modeling methods | Yes | 7.6 |
| 21 | ZestyAI | — | — | Property risk assessment; underwriting; rating and pricing; renewals; portfolio concentration; reinsurance; regulatory and competitive intelligence | AI and machine learning; 3D roof modeling; computer vision; actuarial methods | Yes | 7.5 |
| 22 | Betterview | — | — | Underwriting; property-level risk rating; portfolio risk analysis; claims assessment; property monitoring; catastrophe response | AI/computer-vision property detections; predictive peril scores; historical-claims-based models | Yes | 7.4 |
| 23 | Cape Analytics | No | — | Quoting and eligibility; underwriting; rating and pricing; inspection optimization; renewals; portfolio management and benchmarking; cedent review; catastrophe peril risk | Machine learning; computer vision; geospatial analytics; predictive property-risk analytics; catastrophe-model data mapping to Moody’s RMS | Yes | 7.3 |
| 24 | Earnix | — | — | — | — | — | 7.2 |
| 25 | RNA Analytics R³S | — | — | Product pricing and design; budgeting; statutory valuation; financial reporting; ERM; risk and capital management; ALM; MCEV; profit testing; strategic business planning; claims projections; reserving; IFRS 17; Solvency II; ORSA | Actuarial and risk modeling; stochastic ALM and asset-liability valuation; partial or full internal models; Least-squares Monte Carlo; curve fitting; Direct Iteration Method (DIM); Net Asset Earned Rate (NAER); predictive analytics | — | 7.1 |
| 26 | FRISS | No | — | Underwriting risk assessment; claims fraud analytics; special investigations; compliance screening; claims media verification | AI; predictive models; text mining; network analysis; risk and fraud indicators | — | 7.0 |
| 27 | Cytora Risk Platform | — | — | Risk intake digitization; underwriting risk evaluation; appetite filtering; prioritization; triage; claims intake; routing and workflow automation | AI-powered digitization; extraction; inference; entity resolution; enrichment; evaluation; configurable rules; predictive models can be developed by customer data science teams using routed data | No | 6.9 |
| 28 | Planck Data | — | — | Submission prefill and validation; underwriting recommendations; additional risk factors; renewal recommendations; audit recommendations; eligibility and exposure monitoring | Machine learning; computer vision; natural language processing; deep learning; generative AI | — | 6.8 |
| 29 | Shift Claims Fraud Detection | — | — | Claims fraud detection; individual and network fraud; anomaly detection; claims investigation and triage | Automatic anomaly detection; privileged learning from fraud-handler classifications; natural language processing; entity resolution; AI-based fraud scenario scoring | — | 6.7 |
| 30 | Insureware ICRFS | — | — | Reserving; underwriting pricing; reserve and underwriting risk; risk capital allocation; trend monitoring; correlation and diversification; reinsurance analysis; Solvency II and ORSA | Probabilistic Trend Family (PTF); Multiple Probabilistic Trend Family (MPTF); Extended Link Ratio Family (ELRF); Link Ratio Techniques (LRT); Aggregate Link Ratio Techniques (ALRT); Mack; bootstrap; volume-weighted averages (Chain Ladder) | — | 6.6 |
Head-to-head All 28 comparisons →
- Aon PathWise vs FIS Insurance Risk Suite
- Aon PathWise vs SAS Insurance
- Aon PathWise vs Guidewire Analytics
- Aon PathWise vs Verisk Insurance Analytics
- Aon PathWise vs Swiss Re P&C Analytics
- Aon PathWise vs WTW Igloo
- Aon PathWise vs hyperexponential hx
- FIS Insurance Risk Suite vs SAS Insurance
- FIS Insurance Risk Suite vs Guidewire Analytics
Explore other topics All topics →
- AI Tools 292 directories · 7,896 tools ranked AI Writing Tools · AI Video Generators · Text-to-Speech Software
- Web Hosting & Domains 256 directories · 5,807 tools ranked Shared Web Hosting · Managed Cloud Hosting · Dedicated Server Hosting
- Productivity 146 directories · 4,518 tools ranked Note-Taking Apps · Calendar Apps · Project Management Software
- Marketing 112 directories · 3,442 tools ranked SEO Tools · Email Marketing Software · Influencer Marketing Platforms
- Sales & CRM 145 directories · 3,900 tools ranked Real Estate CRM Software · CRM Software · Proposal Software
- Customer Service 46 directories · 1,372 tools ranked Chatbot Builders · Knowledge Base Software · Call Center Software
How we rank insurance analytics software
Every tool on this page was researched by iTechGuides Editors from its official website — pricing pages, plan tables and product documentation. We rank on how well each one does this category's core job, what the free or entry plan includes, and where it falls short. Where we have enough verified facts, the score out of 10 is a rubric — job fit, value and how much we could verify — shown with its breakdown on every tool's page; a tool we have not verified enough to score yet shows its rank without a number. Scores are re-checked when a product changes its plans. Read the full editorial policy, or submit a tool we missed.
Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
Last updated · How we research and update



