Market map: Climate risk stress testing & scenario regulation — the categories that will matter next

Central banks across 46 jurisdictions now require or recommend climate stress testing for financial institutions, up from just 8 in 2021, according to the Network for Greening the Financial System (NGFS). This regulatory surge has catalyzed a market for climate risk analytics, scenario modeling, and stress testing infrastructure that exceeded $3.2 billion in 2025 and is projected to reach $7.8 billion by 2030. The categories emerging within this market will determine which institutions thrive under tightening disclosure mandates and which face capital adequacy surprises.

Why It Matters

Climate risk stress testing has shifted from a voluntary exercise practiced by a handful of forward-looking banks to a regulatory requirement reshaping capital allocation, lending decisions, and insurance underwriting. The European Central Bank's 2022 climate stress test revealed that 60% of eurozone banks lacked adequate climate risk frameworks. By 2025, supervisory expectations have hardened: the Bank of England now integrates climate scenarios into its annual cyclical scenario exercise, the ECB mandates that banks embed climate risk in their Internal Capital Adequacy Assessment Process (ICAAP), and the Federal Reserve completed its first exploratory climate scenario analysis with six of the largest US bank holding companies.

The implications extend well beyond banking. Insurers, asset managers, pension funds, and corporate treasuries all face mounting pressure to quantify climate-related financial exposure. The ISSB's IFRS S2 standard, effective for reporting periods beginning January 2025, requires scenario-based climate disclosures for publicly listed companies globally. The EU's CSRD mandates double materiality assessments that include forward-looking climate scenario analysis for approximately 50,000 companies.

For sustainability leads and risk officers, the challenge is no longer whether to conduct climate stress testing but which tools, data sets, and methodologies to deploy. The market is fragmenting into distinct solution categories, each with different maturity levels, competitive dynamics, and whitespace opportunities.

Key Concepts

Climate stress testing evaluates the resilience of a financial institution's balance sheet under hypothetical climate scenarios, typically spanning physical risks (extreme weather, chronic shifts) and transition risks (policy changes, technology disruption, market repricing). Unlike traditional financial stress tests that model 1 to 3 year horizons, climate stress tests extend to 2050 or 2100, introducing modeling challenges around long-term asset valuation and sectoral transition pathways.

Scenario analysis employs standardized climate pathways, most commonly the NGFS scenarios, to assess portfolio-level exposure. The six NGFS scenarios range from orderly transition (Net Zero 2050) to disorderly transition (Delayed Transition) and hot house world outcomes. Each scenario embeds assumptions about carbon pricing trajectories, technology adoption rates, physical damage functions, and macroeconomic transmission channels.

Regulatory stress testing refers to supervisory exercises mandated by financial regulators. These differ from internal scenario analysis in their prescribed methodologies, reporting templates, and supervisory review processes. The ECB, Bank of England, Monetary Authority of Singapore, and the Australian Prudential Regulation Authority have each developed distinct frameworks with varying levels of prescriptiveness.

What's Working

Standardized scenario frameworks are reducing fragmentation. The NGFS scenarios have become the de facto reference point for climate stress testing globally. As of early 2026, 134 central banks and supervisors are NGFS members, and over 80% of regulatory climate exercises reference NGFS pathways. This standardization enables cross-jurisdictional comparability and reduces the burden on multinational institutions that previously navigated dozens of bespoke methodologies.

Physical risk analytics have achieved asset-level granularity. Companies like Jupiter Intelligence and One Concern now provide physical risk scores at individual property and facility levels, incorporating hazard data for floods, wildfires, hurricanes, heat stress, and sea level rise under multiple warming scenarios. Jupiter Intelligence's ClimateScore Global platform covers over 100 million commercial properties worldwide, enabling granular portfolio assessment. Munich Re reported that its NatCatSERVICE database, combined with forward-looking climate models, now informs pricing adjustments across 85% of its property catastrophe reinsurance book.

Transition risk models are maturing beyond sector-level heuristics. Early transition risk approaches relied on simple sector classifications: fossil fuels bad, renewables good. The current generation of tools, exemplified by platforms from MSCI, S&P Global, and Moody's, model company-level transition pathways incorporating capital expenditure plans, emissions reduction trajectories, revenue exposure to carbon-sensitive products, and technology readiness. MSCI's Climate Value-at-Risk methodology, used by over 300 institutional investors managing $15 trillion in assets, estimates the potential repricing impact on individual securities under different transition pathways.

Regulatory exercises are driving internal capability building. The Bank of England's Climate Biennial Exploratory Scenario (CBES), completed in 2022, forced participating banks and insurers to build internal climate modeling teams. By 2025, all major UK banks maintain dedicated climate scenario analysis functions with 10 to 30 specialists each. This internal capacity has cascading benefits: institutions that built teams for regulatory exercises now apply those capabilities to strategic planning, product development, and client advisory services.

What's Not Working

Long-horizon uncertainty remains poorly quantified. Climate stress tests extending to 2050 or 2100 compound modeling uncertainty across physical science, policy trajectories, technology adoption, and macroeconomic responses. The ECB acknowledged in its 2024 supervisory review that banks' 30-year transition risk projections varied by orders of magnitude for identical portfolios, suggesting that model assumptions dominate results more than underlying risk exposure. The challenge is communicating actionable insights from exercises where the confidence interval may be wider than the central estimate.

Data gaps undermine granularity claims. While physical risk models achieve impressive spatial resolution, the financial data needed to connect physical hazards to balance sheet impacts often remains coarse. Commercial real estate valuations, supply chain dependencies, and counterparty exposure mappings are frequently incomplete. A 2025 survey by the Global Association of Risk Professionals found that 72% of institutions cite data quality as their primary obstacle to meaningful climate stress testing, with supply chain and Scope 3 emissions data being the most acute gaps.

Smaller institutions are falling behind. Regulatory stress testing requirements often exempt smaller banks, insurers, and asset managers, but market expectations do not. Regional banks in Europe, community lenders in the US, and smaller pension funds lack the budgets ($500,000 to $2 million annually for enterprise climate risk platforms) and specialized talent to implement robust scenario analysis. This creates a two-tier market where large institutions develop sophisticated capabilities while smaller players rely on rudimentary approaches or third-party reports with limited customization.

Greenwashing risk in scenario selection. Some institutions cherry-pick favorable scenarios or calibrate assumptions to produce reassuring results. The practice of running a single Net Zero 2050 orderly scenario while ignoring disorderly or hot house pathways creates false comfort. The ECB's supervisory review explicitly flagged this concern in 2025, noting that 35% of institutions examined ran fewer than three scenarios, insufficient for a credible stress testing program.

Key Players

Established Leaders

MSCI: Operates one of the most widely adopted climate risk analytics suites. Its Climate Value-at-Risk model covers 10,000+ public companies. Used by 300+ institutional investors for portfolio-level climate stress testing.

S&P Global Sustainable1: Acquired The Climate Service in 2022 to build its Climanomics physical risk platform. Integrates climate scenario analysis with credit risk assessments across S&P's ratings and benchmarks business.

Moody's Analytics: Combined its credit risk expertise with acquired climate capabilities (Four Twenty Seven for physical risk, Vigeo Eiris for ESG data). Offers RiskCalc Climate, integrating climate scenarios into probability-of-default models for commercial lending.

Munich Re: Leverages its NatCatSERVICE database of historical natural catastrophe losses to calibrate forward-looking physical risk models. Provides climate risk advisory and reinsurance pricing that incorporates NGFS scenario pathways.

Emerging Startups

Jupiter Intelligence: Specializes in hyperlocal physical risk analytics with resolution down to 90 meters. Serves financial institutions, real estate investors, and infrastructure operators. Raised $54 million in Series C funding in 2024.

Riskthinking.AI: Founded by former BlackRock risk executive Ron Dembo. Provides open-source climate scenario analysis tools alongside commercial enterprise platforms. Focuses on making climate risk analytics accessible to mid-market institutions.

Cervest: Offers EarthScan, a climate intelligence platform providing asset-level physical risk ratings. Uses machine learning to combine climate models with satellite data for real-time risk monitoring.

Risilience: Enterprise climate scenario analysis platform developed out of Cambridge University research. Specializes in translating NGFS scenarios into company-specific financial impacts across multiple time horizons.

Key Investors and Funders

Energize Capital: Climate-focused growth equity fund that has invested in multiple climate risk analytics companies.

Microsoft Climate Innovation Fund: Provides early-stage capital for climate data and analytics ventures, including climate risk modeling startups.

NGFS: While not a traditional funder, the Network for Greening the Financial System drives market development through scenario standardization and supervisory expectations that create demand for commercial solutions.

Market Category Map

The climate risk stress testing landscape segments into six categories with distinct maturity levels:

Category	Maturity	Key Metrics	Representative Players
Physical risk analytics	High	Asset-level resolution, hazard coverage	Jupiter Intelligence, S&P Climanomics, Munich Re
Transition risk modeling	Medium-High	Company-level pathways, sector coverage	MSCI, Moody's, Riskthinking.AI
Scenario generation platforms	Medium	NGFS alignment, custom scenario flexibility	Risilience, Ortec Finance, Aladdin Climate
Regulatory reporting tools	Medium	Template compliance, audit trail	Wolters Kluwer, Regnology, AxiomSL
Integrated stress testing suites	Low-Medium	End-to-end workflow, model validation	SAS, Oliver Wyman, McKinsey
Climate data infrastructure	Low	Emissions data pipelines, supply chain mapping	Urgentem, Asset Resolution, OS-Climate

The highest-growth categories for 2026 to 2028 will be climate data infrastructure and regulatory reporting tools. Data infrastructure addresses the foundational gap that undermines all downstream analytics: without reliable emissions, exposure, and supply chain data, even the most sophisticated models produce unreliable results. Regulatory reporting tools face surging demand as CSRD, SEC, and ISSB requirements create compliance deadlines that affect tens of thousands of companies simultaneously.

Action Checklist

1. Assess your current climate risk capabilities against regulatory requirements in your operating jurisdictions, prioritizing ECB ICAAP integration (EU banks), ISSB IFRS S2 scenario disclosures (listed companies), and emerging SEC requirements (US filers).

2. Run at least three NGFS-aligned scenarios covering orderly transition, disorderly transition, and a high physical risk pathway to avoid the supervisory concern of scenario cherry-picking.

3. Evaluate physical risk analytics vendors for asset-level granularity, ensuring coverage of your portfolio's geographic exposure across multiple hazard types (flood, heat, wildfire, wind, sea level rise).

4. Invest in climate data infrastructure, particularly Scope 3 emissions data and supply chain mapping, as this remains the binding constraint on stress testing quality.

5. Build or hire internal climate scenario analysis capacity: institutions that rely entirely on third-party consultants without developing in-house expertise face recurring costs and limited ability to integrate results into strategic decisions.

6. Establish model validation processes for climate risk models comparable to those used for credit and market risk, including backtesting against historical climate events and sensitivity analysis on key assumptions.

7. Engage with industry working groups such as the NGFS, GARP's Sustainability and Climate Risk Committee, or the UN Environment Programme Finance Initiative to stay ahead of evolving supervisory expectations.

FAQ

What are the NGFS scenarios and why do they matter? The Network for Greening the Financial System publishes six reference scenarios that combine climate science projections with economic modeling. They range from a 1.5 degree Celsius orderly transition to a 3+ degree hot house world. They matter because over 80% of regulatory climate stress tests globally reference NGFS pathways, making them the de facto standard for financial sector scenario analysis.

How much does climate stress testing cost for a mid-sized institution? Enterprise climate risk platforms typically cost $500,000 to $2 million annually depending on portfolio complexity and geographic scope. Internal team costs (3 to 10 specialists) add $400,000 to $1.5 million. Total first-year implementation costs for a mid-sized bank or insurer range from $1 million to $4 million, decreasing to $700,000 to $2.5 million in subsequent years as capabilities mature.

What is the difference between physical risk and transition risk in stress testing? Physical risk captures financial losses from climate-related events (acute hazards like storms and floods, chronic shifts like sea level rise and temperature increases). Transition risk captures financial impacts from the shift to a low-carbon economy (carbon pricing, stranded fossil fuel assets, technology disruption, changing consumer preferences). A robust stress test must model both risk types across multiple time horizons.

Which regulators are leading on climate stress testing requirements? The ECB, Bank of England, and Monetary Authority of Singapore are the most advanced. The ECB integrates climate risk into ongoing supervision through ICAAP requirements. The Bank of England's CBES was the first system-wide exploratory scenario. The MAS mandates climate scenario analysis for all banks and insurers in Singapore. The US Federal Reserve has been more cautious, conducting an exploratory pilot in 2023 without binding requirements, though market expectations are converging toward mandatory exercises.

Can climate stress testing actually predict financial losses? Climate stress tests are not predictions. They are structured explorations of how portfolios might perform under plausible but uncertain future conditions. Their primary value lies in identifying concentrations of risk, testing the adequacy of risk management frameworks, and informing strategic decisions about portfolio composition. The 30 to 80 year time horizons involved mean that point estimates of future losses should be interpreted as directional indicators, not precise forecasts.

Sources

1. Network for Greening the Financial System. "NGFS Scenarios for Central Banks and Supervisors: Phase IV." NGFS, 2025.
2. European Central Bank. "Results of the 2022 Climate Risk Stress Test and 2024 Supervisory Review." ECB, 2024.
3. Bank of England. "Results of the 2021 Climate Biennial Exploratory Scenario." Bank of England, 2022.
4. MSCI. "Climate Value-at-Risk Methodology and Application Report." MSCI ESG Research, 2025.
5. Global Association of Risk Professionals. "Climate Risk Stress Testing: Survey of Industry Practices." GARP, 2025.
6. International Sustainability Standards Board. "IFRS S2: Climate-related Disclosures Implementation Guide." IFRS Foundation, 2025.
7. Jupiter Intelligence. "Global Physical Climate Risk Analytics: Methodology and Coverage." Jupiter Intelligence, 2025.