Market map: Climate risk analytics & scenario modeling — the categories that will matter next

The climate risk analytics market reached $3.8 billion in 2025 and is projected to exceed $9.2 billion by 2030, driven by regulatory mandates, institutional investor demand, and the growing physical consequences of climate change across every asset class. Yet the market remains fragmented across dozens of solution categories, with overlapping capabilities, inconsistent methodologies, and significant gaps between what regulators require and what products currently deliver. This market map identifies the categories gaining traction, the whitespace opportunities where product teams should focus, and the structural dynamics that will determine which solutions achieve lasting adoption.

Why It Matters

Regulatory pressure has transformed climate risk analytics from a voluntary sustainability exercise into a compliance requirement for the largest segments of the global economy. The EU Corporate Sustainability Reporting Directive (CSRD) requires approximately 50,000 European companies to report climate-related risks using double materiality assessments beginning in fiscal year 2024. The SEC's climate disclosure rules, while facing legal challenges, require large accelerated filers to disclose material climate risks and, for Scope 1 and 2 emissions, obtain limited assurance. The International Sustainability Standards Board (ISSB) published IFRS S1 and S2, which 23 jurisdictions have adopted or announced adoption timelines for, creating a global baseline for climate-related financial disclosures.

Asia-Pacific regulatory adoption is accelerating particularly rapidly. Japan's Financial Services Agency mandated ISSB-aligned disclosure for prime-listed companies beginning April 2025. Hong Kong's stock exchange requires mandatory climate reporting aligned with IFRS S2 for all listed issuers from January 2025. Singapore's SGX mandated climate reporting for listed companies starting fiscal year 2024, with mandatory Scope 3 disclosure phased in by 2026. Australia passed legislation requiring mandatory climate-related financial disclosures for large entities beginning January 2025. These overlapping mandates create urgent demand for analytics platforms that can serve multinational organizations across jurisdictions with varying requirements.

Physical climate risk is escalating the economic stakes. Global insured losses from natural catastrophes exceeded $140 billion in 2024, with the Asia-Pacific region accounting for approximately 45% of economic losses but only 15% of insured losses, revealing a massive protection gap that drives demand for granular risk assessment. The Reserve Bank of India, Bank of Japan, and Monetary Authority of Singapore have all conducted or mandated climate stress tests for financial institutions under their supervision. These regulatory exercises require forward-looking scenario analysis capabilities that most institutions currently lack, creating a structural demand pull for analytics providers.

Key Concepts

Physical Risk Assessment quantifies the financial exposure of assets, portfolios, and supply chains to acute climate hazards (cyclones, floods, wildfires, extreme heat events) and chronic changes (sea level rise, precipitation pattern shifts, temperature increases). Mature platforms combine global climate model outputs with geospatial asset data to estimate expected annual losses, value-at-risk under various warming scenarios, and adaptation investment requirements. The critical technical challenge is downscaling: translating coarse global climate model outputs (typically 50 to 100 kilometer resolution) to asset-level predictions (individual buildings, infrastructure segments, or agricultural parcels) with sufficient accuracy to inform investment decisions.

Transition Risk Modeling evaluates financial exposure to policy changes, technology shifts, market repricing, and reputational dynamics associated with the low-carbon transition. Transition risk manifests as stranded assets (fossil fuel reserves that cannot be economically extracted under carbon pricing), competitive displacement (electric vehicles replacing internal combustion engines), supply chain disruption (CBAM-driven cost increases for carbon-intensive imports), and financing restrictions (banks reducing exposure to high-emissions sectors). Quantifying these risks requires integrated economic models linking carbon price trajectories, technology adoption curves, and sector-specific financial impacts.

Scenario Analysis projects financial outcomes under multiple plausible climate futures, typically aligned with established frameworks including the Network for Greening the Financial System (NGFS) scenarios, the Intergovernmental Panel on Climate Change (IPCC) Shared Socioeconomic Pathways (SSPs), or proprietary scenarios developed by analytics providers. Regulatory frameworks increasingly mandate specific scenario sets: the Bank of England's CBES exercise used three NGFS scenarios, while Japan's FSA guidance references NGFS orderly, disorderly, and hot-house world pathways. The challenge for product teams is translating these macro scenarios into granular financial impacts at company, portfolio, or asset level.

Double Materiality Assessment evaluates both how climate change affects a company's financial performance (financial materiality, or "outside-in") and how a company's activities affect the climate and environment (impact materiality, or "inside-out"). The CSRD mandates double materiality assessment, while ISSB focuses primarily on financial materiality. Analytics platforms serving European-headquartered multinationals must support both perspectives, creating a product requirement that purely financially oriented risk tools do not address.

Market Map: Solution Categories

Category 1: Enterprise Physical Risk Platforms

These platforms provide asset-level physical risk scoring across global portfolios, serving banks, insurers, asset managers, and corporations with geographically distributed operations.

Moody's (formerly Four Twenty Seven) acquired Four Twenty Seven in 2019 and integrated its physical risk scores into Moody's broader credit analytics infrastructure. Their platform covers over 2 million corporate entities and 12 million individual facility locations, scoring exposure to floods, heat stress, hurricanes, sea level rise, and water stress under multiple warming scenarios. The integration with Moody's credit ratings gives them unmatched distribution in fixed income markets.

S&P Global Sustainable1 combines climate data from The Climate Service (acquired 2022) with S&P's financial data infrastructure. Their Climanomics platform translates physical hazard projections into financial metrics (expected annual loss, climate value-at-risk) compatible with existing risk management frameworks. Coverage spans equities, fixed income, real estate, and infrastructure.

MSCI provides physical risk metrics integrated with their ESG ratings and portfolio analytics tools, serving institutional investors managing over $17 trillion in benchmarked assets. Their climate risk models cover acute hazards and chronic shifts for listed equity and corporate bond issuers globally, with asset-level analysis available for real estate portfolios.

Jupiter Intelligence differentiates on resolution and recency, offering physical risk projections at resolutions as fine as 90 meters for flood risk, compared to the 1 to 25 kilometer resolution common among competitors. Their FloodScore and HeatScore products serve insurance underwriters, real estate investors, and municipal planners requiring parcel-level precision. Jupiter's down-scaling methodology uses physics-based models rather than statistical interpolation, providing more defensible results for high-stakes decisions.

Category 2: Transition Risk and Scenario Platforms

Planetrics (by McKinsey) provides granular transition risk analysis linking carbon pricing scenarios to company-level financial impacts. Their models trace carbon costs through value chains, estimating margin compression, demand destruction, and competitive displacement under over 1,600 scenario combinations. Financial institutions including major European banks use Planetrics for TCFD-aligned scenario analysis and portfolio alignment assessment.

Ortec Finance specializes in scenario-based portfolio analysis for pension funds and sovereign wealth funds, integrating climate scenarios with macroeconomic modeling to project total portfolio returns under different warming and transition pathways. Their ClimateMAPS platform is adopted by over 50 institutional investors collectively managing trillions in assets.

Aladdin Climate (BlackRock) integrates physical and transition risk analytics into BlackRock's Aladdin portfolio management platform, the infrastructure underlying $21 trillion in assets under management. Aladdin Climate's primary advantage is workflow integration: risk analytics appear alongside traditional financial risk metrics within the same interface that portfolio managers use daily, eliminating the adoption friction that standalone climate platforms face.

Category 3: Regulatory Compliance and Disclosure

Persefoni provides an AI-powered carbon accounting and climate disclosure management platform targeting CSRD, SEC, and ISSB compliance. Their platform automates data collection, emissions calculation, and report generation across regulatory frameworks. Persefoni raised over $100 million and serves large enterprises requiring multi-jurisdictional disclosure capabilities.

Watershed combines emissions measurement with climate program management, offering scenario modeling tools that help companies set science-based targets and plan decarbonization strategies. Their platform integrates with ERP and procurement systems to capture activity data, reducing the manual data collection that consumes 40 to 60% of sustainability reporting effort.

Sweep targets European enterprises with CSRD compliance as the primary use case, providing double materiality assessment tools, value chain data collection workflows, and audit-ready report generation. Their focus on the CSRD's detailed European Sustainability Reporting Standards (ESRS) gives them depth in a framework that US-centric competitors address only superficially.

Category 4: Parametric and Insurance Analytics

Descartes Underwriting applies satellite imagery, IoT data, and AI to parametric insurance products, creating climate risk transfer instruments that pay out based on measured physical parameters (wind speed, rainfall, temperature) rather than assessed damages. Their approach reduces claims settlement from months to days and enables coverage for previously uninsurable risks in emerging markets.

FloodFlash provides parametric flood insurance using IoT water level sensors, offering rapid payouts when measured flood depths exceed predetermined thresholds. Their sensor-triggered model is particularly relevant in Asia-Pacific markets where the protection gap between economic losses and insured losses is largest.

Category 5: Geospatial Intelligence and Data

Climate Engine provides a cloud-based platform for analyzing petabytes of Earth observation data (satellite imagery, weather station records, climate model outputs) specifically for climate risk applications. Their API enables other analytics providers, agricultural companies, and government agencies to build custom climate risk tools without managing raw geospatial data infrastructure.

Gro Intelligence aggregates agricultural, climate, and economic datasets into a unified analytics platform, serving commodity traders, food companies, and agricultural lenders with climate-adjusted crop yield forecasts, water availability projections, and supply disruption alerts.

Whitespace Opportunities

Adaptation Planning Tools represent the most significant underserved segment. While dozens of platforms quantify climate risk exposure, virtually none provide actionable adaptation recommendations with cost-benefit analysis. Organizations learn they face $50 million in flood risk but receive no guidance on whether to invest in physical barriers, relocate operations, or purchase financial protection. Product teams building prescriptive adaptation analytics, linking risk identification to specific intervention portfolios with modeled ROI, will capture a category that grows alongside disclosure mandates.

Supply Chain Climate Risk remains inadequately addressed. Current platforms assess direct asset exposure but rarely model cascading supply chain impacts: how a flood in Thailand disrupts semiconductor supply chains, how drought in the Mekong Delta affects rice-dependent food manufacturers, or how heat stress in South Asian factories reduces production capacity. The complexity of mapping multi-tier supply chain dependencies onto physical climate projections creates both a technical barrier and a competitive moat for companies that solve it.

Litigation Risk Analytics is emerging as a distinct category. With over 2,500 climate-related litigation cases filed globally by 2025 and an increasing rate of plaintiff success (28% of cases resulting in outcomes favorable to climate action), legal departments and insurers need analytics quantifying exposure to climate litigation. No established platform currently addresses this systematically.

Nature and Biodiversity Risk Integration responds to Taskforce on Nature-related Financial Disclosures (TNFD) adoption. Financial institutions need to assess nature-related dependencies and impacts alongside climate risks, but current climate platforms treat biodiversity as an afterthought. Platforms integrating deforestation risk, water ecosystem dependencies, and species-related regulatory exposure with existing climate risk workflows will address a gap that TNFD adoption will make commercially urgent.

Action Checklist

• Audit current climate risk analytics capabilities against applicable regulatory requirements (CSRD, SEC, ISSB, local mandates)
• Assess whether existing platforms provide asset-level physical risk resolution sufficient for your portfolio composition
• Evaluate transition risk modeling coverage for sectors and geographies representing your largest exposures
• Identify gaps between disclosure requirements and current analytics capabilities, prioritizing double materiality if CSRD-applicable
• Test scenario analysis outputs against regulatory scenario specifications (NGFS, IPCC SSPs) required by supervisory authorities
• Build internal capacity to interpret and challenge analytics provider outputs rather than treating them as black-box scores
• Evaluate workflow integration requirements to ensure climate risk analytics reach decision-makers within existing tools and processes
• Monitor whitespace categories (adaptation planning, supply chain risk, litigation risk) for emerging solutions that address unmet needs

FAQ

Q: How should organizations choose between enterprise physical risk platforms? A: Selection should prioritize three factors: resolution (does the platform's spatial granularity match your asset types), coverage (does it cover all hazards relevant to your geographic footprint), and integration (can outputs feed into existing risk management and reporting workflows). Financial institutions benchmarking credit portfolios may prioritize coverage breadth, while real estate investors need parcel-level resolution. Request validation documentation showing model accuracy against observed loss data rather than relying on theoretical climate model lineage.

Q: What is the realistic accuracy of current climate risk models for financial decision-making? A: Physical risk models perform well for relative risk ranking (identifying which assets or regions face highest exposure) but should not be treated as precise financial forecasts. Studies comparing model outputs across providers show correlation coefficients of 0.6 to 0.8 for portfolio-level risk rankings but divergences of 50% or more for individual asset-level loss estimates. Use results for strategic allocation and stress testing rather than precise pricing. Transition risk models carry even greater uncertainty due to dependence on policy assumptions.

Q: How are Asia-Pacific regulatory requirements shaping platform selection? A: Asia-Pacific's compressed regulatory timelines (multiple jurisdictions mandating disclosure simultaneously) favor platforms with pre-built templates for ISSB, TCFD, and local variations. Japan's SSBJ standards, Hong Kong's HKEX requirements, Singapore's SGX rules, and Australia's ASRS standards share ISSB as a common foundation but include jurisdiction-specific additions. Organizations operating across these markets need platforms that manage multi-jurisdictional reporting from a single data foundation rather than maintaining parallel processes.

Q: What is the expected consolidation trajectory for this market? A: Significant consolidation is underway. Financial data incumbents (Moody's, S&P, MSCI, Bloomberg) have acquired climate analytics startups and are integrating capabilities into existing platforms. This dynamic advantages startups addressing categories that incumbents cannot easily replicate: adaptation planning, supply chain risk modeling, and nature risk integration. Standalone physical risk scoring is increasingly commoditized. Startups that build proprietary datasets, develop novel risk quantification methodologies, or achieve deep workflow integration will command acquisition premiums or sustain independent operations.

Sources

• Allied Market Research. (2025). Climate Risk Analytics Market: Global Opportunity Analysis and Industry Forecast 2025-2030. Portland, OR: Allied Analytics LLP.
• Network for Greening the Financial System. (2025). NGFS Climate Scenarios for Central Banks and Supervisors: Technical Documentation, 4th Edition. Paris: NGFS Secretariat.
• International Sustainability Standards Board. (2025). IFRS S2 Climate-related Disclosures: Jurisdictional Adoption Tracker. Frankfurt: IFRS Foundation.
• Swiss Re Institute. (2025). Sigma Report: Natural Catastrophes in 2024 - Rising Losses, Widening Protection Gaps. Zurich: Swiss Re.
• Grantham Research Institute on Climate Change. (2025). Global Trends in Climate Change Litigation: 2025 Snapshot. London: London School of Economics.
• BloombergNEF. (2025). Climate Risk Analytics Market Survey: Vendor Capabilities, Adoption Rates, and Investment Trends. New York: Bloomberg LP.
• Financial Stability Board. (2025). Progress Report on Climate-Related Disclosures: Implementation Across Jurisdictions. Basel: FSB Secretariat.