Executive Summary

Many jurisdictions and utilities are undercounting wildfire risk because conventional hazard models focus on ignition and spread without accounting for social vulnerability; low-income, elderly, and non-English-speaking populations often face higher exposure and lower adaptive capacity, producing inequitable outcomes for at least 50,000 potential customers globally (municipalities, counties, utilities, insurers, NGOs). This gap drives misallocated mitigation dollars, threatens compliance with emerging equity-focused grant requirements, and leaves insurers and communities unable to make defensible underwriting or investment decisions. You could build a geospatial analytics platform that fuses high-resolution wildfire hazard modeling with validated social-vulnerability indices (e.g., census-tract SVI), parcel- and asset-level exposure data, forward-looking climate scenarios, and decision-focused outputs such as prioritized mitigation plans, grant-ready reports, and underwriter risk layers accessible via dashboard and API. Targeting an average contract value of $120K ACV, the product would emphasize explainability, audit trails for funding applications, and integrations with existing GIS and asset-management systems. The market is attractive now because climate-driven wildfire escalation is increasing demand for better risk models, insurer pullback is forcing public actors to quantify and mitigate local risk, and grantmakers and regulators are explicitly requiring social-vulnerability considerations; together these forces underpin a $6.0B addressable market (market score 92/100, revenue potential 86/100). Timing is also favorable because many jurisdictions are revising resilience plans and insurers are actively repricing exposure, creating procurement opportunities for decision-grade analytics. To stand out you would need rigorous hazard modeling married to trusted social-vulnerability science, strong UX for non-technical public-sector users, and partnerships with local NGOs to validate on-the-ground conditions; competitive differentiation will come from producing defensible, audit-ready outputs rather than probabilistic heatmaps alone. Challenges are real: public-sector sales cycles commonly run 12–24 months, data gaps and privacy concerns complicate fine-grained vulnerability mapping, and competition is medium with incumbent GIS and hazard-model vendors moving into the space.

Market Opportunity

Undercounted wildfire risk in vulnerable communities — add social-vulnerability to assessments targets a $6.0B = 50,000 potential customers (municipalities, counties, utilities, insurers, NGOs globally) x $120K ACV total addressable market with medium saturation and a year-over-year growth rate of 18% (climate-risk analytics & resilience budgets).

Key trends driving demand: Climate-driven wildfire escalation -- increasing frequency & severity raises demand for better risk models and mitigation planning.; Equity & environmental-justice focus -- grantmakers and regulators require social-vulnerability considerations in resilience funding.; Insurer pullback & repricing -- insurance market strain forces public sector and communities to quantify and mitigate local risk.; Cloud geospatial compute & ML tooling -- lower cost of processing high-res satellite and LIDAR data enables finer-grained analytics..

Key competitors include Jupiter Intelligence, CoreLogic, RedZone, US Forest Service / FEMA tools (FlamMap, NIFC datasets).

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Undercounted wildfire risk in vulnerable communities — add social-vulnerability to assessments

Executive Summary

Market Validation

Market Opportunity

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