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Swiss Re P&C Analytics

#6 of 30 in Insurance Analytics Software

Swiss Re P&C Analytics: Portfolio, property and casualty risk analytics with applications, APIs and consulting. Ranked #6 of 30 in Insurance Analytics Software by our editors (8.9/10); pricing: Pricing on request; best for insurers analyzing portfolio and property risk.

8.9/10Editor score
Swiss Re P&C Analytics8.9 Contact Swiss Re

At a glance

  • Editor score
    8.9 / 10
  • Pricing
    Pricing on request
  • Best for
    Insurers analyzing portfolio and property risk
  • Facts checked
    29 Sep 2026
  • Where it wins

    • Combines portfolio dashboards, maps and catastrophe risk layers
    • Covers property, motor, commercial and liability risk analysis
    • Provides API access to models and risk data
  • Where it doesn't

    • Pricing requires contacting Swiss Re
    • The offering spans applications, data, APIs and consulting
    • Designed for mid-market and enterprise insurers

Our verdict on Swiss Re P&C Analytics

Swiss Re P&C Analytics brings analytics applications, APIs, data and risk expertise to property and casualty insurers. Its Impact+ platform provides access to applications and insurance-related datasets, while bespoke consulting can address pricing analytics and forward-looking modelling. The scope suits mid-market and enterprise teams assessing portfolios, property and casualty exposures, rather than buyers looking for a general-purpose analytics tool.

Portfolio analysis is a central strength: interactive dashboards, charts and maps support analysis and visualisation, while enrichment draws on catastrophe risk layers, building characteristics, Swiss Re risk data and external sources. Portfolio optimisation and accumulation-risk analysis sit alongside property risk assessment and market benchmarking. The product also reaches beyond property, with motor underwriting and granular pricing insights, commercial market and location-based risk insights, and liability exposure assessment using forward-looking modelling. API access to models and risk data extends the offering for teams that need programmatic access to results.

The breadth is useful for insurers seeking multiple lines of risk analysis in one vendor relationship, but this is a specialist insurance offering, not a lightweight tool for organizations outside P&C. Swiss Re also offers bespoke analytics consulting, which may fit teams seeking tailored pricing or exposure work; prospective clients are directed to request a demo or contact the company. The pricing model is contact sales, so buyers should expect a sales-led evaluation rather than choosing from published self-serve tiers. Choose it for portfolio, property and casualty risk work that benefits from Swiss Re models, data and expertise; consider a narrower alternative if you need a simple standalone analytics application or transparent plan pricing.

Swiss Re P&C Analytics pricing

Plans Pricing on request No free plan — trial or paid only. Prices re-checked Sep 2026.
See plans on swissre.com

Swiss Re P&C Analytics fact sheet

Free planNot verified
Paid fromNot verified
Analytics areasPortfolio analysis and optimisation; property risk and exposure; motor underwriting and pricing; commercial insurance; liability pricing and accumulation risk; market growth strategies
Modeling methodsProprietary risk modelling; actuarial expertise; data analytics; forward-looking exposure-based modelling; predictive property risk model
Catastrophe modelingYes
DeploymentNot verified
Data connectorsClient portfolio data; Swiss Re risk data and models; external data sources; catastrophe risk layers; building characteristics
Output formatsInteractive dashboards; charts; maps; API-accessible model results
DeploymentCloud
PlatformsWeb
SupportDocs
Built forMid-market, Enterprise (editorial estimate)
PricingPricing on request
Websiteswissre.com
Facts checked29 Sep 2026

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Featured on iTechGuides

Featured on iTechGuides — Swiss Re P&C Analytics 8.9/10

Swiss Re P&C Analytics is listed in our Insurance Analytics Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

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