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Sustainability In IndustryTop 10 Best Climate Risk Services of 2026
A market-research roundup comparing climate risk services from KPMG, Aon, and PwC, with tradeoffs for teams shortlisting vendors.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
KPMG is the best pick for enterprises that need board-ready climate risk materiality because it links scenario assumptions through to ERM governance artifacts for defensible decisions, while Arup is a strong alternative for engineering-led teams thanks to translating physical hazards into adaptation and planning options.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
KPMG
KPMG’s end-to-end linkage from climate scenario analysis to ERM governance artifacts supports defensible decision making.
Best for: Fits when organizations need board-ready climate risk materiality and scenario outputs.
Aon
Editor pickEnterprise ERM integration that turns climate scenario analysis into committee-ready decision support.
Best for: Fits when ERM programs need scenario-based climate risk outputs with governance-ready documentation.
PwC
Editor pickDisclosure-oriented climate scenario and transition work products that align risk conclusions to reporting and decision workflows.
Best for: Fits when enterprises need climate risk and disclosure delivery with accountable governance ownership.
Comparison Table
KPMG
enterprise_vendorGlobal consultancy offering climate risk strategy, physical risk assessment, and transition planning.
KPMG’s end-to-end linkage from climate scenario analysis to ERM governance artifacts supports defensible decision making.
KPMG’s climate risk service delivery is anchored in scenario-based risk work that connects climate hazards and transition drivers to enterprise planning and reporting narratives. The offering is strongest when work needs structured documentation for climate governance, risk identification, and decision support for boards and senior executives. Integration depth tends to be delivered through engagement design and artifact handoff rather than through a generic self-serve platform. Automation and API surfaces are usually not the center of gravity since many outcomes come from KPMG analysis teams and client data processing workflows.
A tradeoff appears in limited product-like extensibility for organizations that want climate analytics driven purely through automation and direct system-to-system provisioning. KPMG fits best when a leadership team needs a consistent risk taxonomy, scenario pathways interpretation, and defensible outputs for climate risk materiality and disclosure use. KPMG also fits when internal teams need a controlled governance process with clear roles, review steps, and audit-ready documentation to support compliance and internal decision forums.
- +Clear linkage from scenario assumptions to ERM decisions
- +Strong governance and documentation for audit and board audiences
- +Experienced climate risk analysts across transition and physical risk
- +Structured materiality framing for disclosure readiness
- –Less product depth for teams seeking API-first automation
- –More engagement-driven than self-serve configuration
- –Turnaround depends on client data availability and scoping
- –Extensibility usually needs consulting involvement
enterprise risk leadership
Link climate scenarios to ERM
ERM climate coverage with governance
sustainability reporting teams
Prepare disclosure-aligned climate risk narrative
Cohesive disclosure-ready outputs
Show 2 more scenarios
CFO and finance stakeholders
Assess transition risk impacts
Actionable transition risk insights
KPMG translates transition drivers into enterprise planning considerations and quantified implications.
head of internal audit
Support audit defensibility
Stronger audit traceability
KPMG produces structured documentation and evidence packs tied to climate risk governance and outputs.
Best for: Fits when organizations need board-ready climate risk materiality and scenario outputs.
Aon
enterprise_vendorGlobal insurance brokerage and risk advisory firm with dedicated climate risk consulting services.
Enterprise ERM integration that turns climate scenario analysis into committee-ready decision support.
Aon’s climate risk work is best understood as managed consulting plus analytics outputs rather than a self-serve hazard modeling tool. Delivery typically centers on climate scenario analysis for both physical and transition risk, with asset and portfolio context where data availability allows. Engagements also tend to produce structured outputs for internal governance review, including materiality framing and decision support for risk owners and finance stakeholders.
A clear tradeoff is that outcomes depend on the quality and completeness of supplied asset, activity, and emissions inputs, so gaps in data increase lead time and effort. Aon fits situations where climate risk must be integrated into enterprise risk reporting and where stakeholders need audit-ready narrative and analytics packaged for committees.
- +Scenario-led physical and transition risk analysis for enterprise reporting workflows
- +Structured consulting deliverables aligned to governance and disclosure reviews
- +Practical transition planning inputs for risk owners and decision timelines
- +Strong experience integrating climate risk into ERM processes and controls
- –Requires meaningful client data to deliver asset-level conclusions
- –Less suitable when teams need self-serve climate modeling without advisory support
- –Automation depth can feel limited for highly custom data pipelines
- –Turnaround depends on stakeholder inputs and internal review cycles
CRO and ERM teams
Board-level climate risk materiality pack
Cleaner committee decision framing
Finance and reporting leads
Disclosure-aligned climate scenario analysis
More consistent disclosure inputs
Show 2 more scenarios
Risk and sustainability analysts
Portfolio exposure and vulnerability work
Sharper mitigation prioritization
Analytical outputs connect hazards to exposure context for prioritization of risk mitigation actions.
Transition planning owners
Transition risk integration into planning
More actionable transition planning
Aon translates scenario pathways into transition considerations for governance and investment focus.
Best for: Fits when ERM programs need scenario-based climate risk outputs with governance-ready documentation.
PwC
enterprise_vendorBig Four firm providing climate risk assessment, scenario modeling, and disclosure advisory.
Disclosure-oriented climate scenario and transition work products that align risk conclusions to reporting and decision workflows.
PwC climate risk delivery is structured around client governance, risk taxonomy alignment, and report-ready artifacts, which fits organizations that treat climate risk as an enterprise risk management discipline. Climate scenario analysis and transition planning work are often paired with materiality and disclosure scoping so results can map to investor expectations and internal approval gates. PwC also brings emissions accounting integration knowledge, which supports greenhouse-gas inventory links to financed emissions and transition risk narratives.
A key tradeoff is that PwC delivery often depends on client-provided data and iterative workshops, which can slow throughput when data access is fragmented across business units. PwC tends to work best when internal teams need clear decision support for strategy, disclosures, and implementation planning rather than a self-serve modelling sandbox.
- +Strong scenario and disclosure linkage for board-ready outputs
- +Methodology-driven workflows anchored to enterprise governance controls
- +Emissions and transition planning integration to support consistent narratives
- +Facilitates internal alignment across risk, finance, and sustainability teams
- –Throughput can lag when client data access is slow or inconsistent
- –Greater reliance on advisory engagement limits self-serve automation
CFO and finance transformation teams
IFRS S2 disclosure readiness support
Consistent disclosure package
Enterprise risk management leaders
Climate risk materiality assessment
Clear risk prioritization
Show 2 more scenarios
Sustainability program directors
Transition plan and financed emissions linkage
Coherent transition storyline
PwC connects emissions baselining with transition planning elements to keep strategy and disclosure consistent.
Asset and portfolio risk teams
Asset exposure assessment workflow
Actionable exposure view
PwC coordinates hazard and exposure analysis to produce outputs usable for internal risk review.
Best for: Fits when enterprises need climate risk and disclosure delivery with accountable governance ownership.
Boston Consulting Group
enterprise_vendorGlobal management consultancy with climate and sustainability practice including risk advisory.
Climate governance operating-model design that ties scenario outputs to planning controls, roles, and decision cadence.
Boston Consulting Group pairs climate risk advisory with implementation delivery across physical and transition risk use cases. The delivery strength is organizational design for climate governance and decision workflows that connect scenario work to planning, reporting, and portfolio choices.
- +Strong translation of climate scenario outputs into executive decision workflows
- +Governance and operating model support for climate risk ownership across functions
- +Credible scenario framing and documentation for external disclosure readiness
- +Practical tailoring of approaches for asset-heavy and sector-specific exposures
- –Limited evidence of a self-serve API surface for end-to-end automation
- –Implementation timelines depend on client data readiness and stakeholder bandwidth
- –Tooling depth for granular asset modeling may require additional specialist build
- –Most value arrives through consulting-led delivery rather than product extensibility
Best for: Fits when enterprises need climate risk governance, disclosure-grade work products, and management-ready integration.
EY
enterprise_vendorBig Four firm providing climate risk advisory, scenario analysis, and sustainability reporting services.
EY’s climate risk work connects scenario assumptions to ERM governance deliverables and disclosure structure, not just analysis outputs.
EY delivers climate risk services that translate climate scenario analysis into ERM and reporting outputs for corporate and financial institutions. The firm’s work sequence typically covers climate risk materiality, target and transition plan support, and investor-grade disclosure mapping to TCFD and IFRS S2 expectations.
- +Strong climate risk materiality and disclosure mapping for TCFD and IFRS S2
- +Scenario analysis work integrates governance artifacts used in ERM committees
- +Transition planning support ties emissions targets to operational workstreams
- +Advisory delivery fits complex, multi-stakeholder stakeholder reporting cycles
- –Limited self-serve climate analytics tools for audit-ready outputs without EY involvement
- –API and automation surface is not the primary delivery mechanism for teams
- –Admin and RBAC style controls depend on engagement workflow rather than software tooling
- –Turnaround and throughput can be constrained by consulting scoping and data access
Best for: Fits when large organizations need end-to-end climate risk advisory that connects scenarios, governance, and reporting artifacts.
Arup
specialistMultidisciplinary engineering consultancy providing climate risk and resilience advisory services.
Asset and infrastructure risk work that converts climate hazard data into adaptation and planning options for decision-making.
Arup serves climate risk and resilience work rooted in engineering, geospatial analysis, and sector delivery across physical hazards and transition impacts. The provider supports climate scenario analysis workflows that translate hazard signals into asset and infrastructure risk narratives used for governance and reporting inputs.
- +Engineering-grade physical risk analysis that ties hazards to planning decisions
- +Scenario analysis outputs that support governance documents and investment discussions
- +Strong integration of geospatial exposure and vulnerability framing for assets
- +Clear delivery artifacts that reduce interpretation work for client teams
- –Automation and API depth is limited compared with software-first climate risk vendors
- –Asset-level modeling scope can require detailed inputs and defined boundary decisions
Best for: Fits when engineering-led organizations need scenario-to-design climate risk evidence for infrastructure or major portfolios.
ERM
specialistGlobal environmental consultancy specializing in climate risk assessment and resilience planning.
Consulting delivery that packages physical and transition findings into reporting-grade outputs with coordinated assumptions across scenario analysis and exposure work.
ERM differentiates through managed climate risk consulting delivered alongside measurable work products for physical risk, transition risk, and reporting support. Core capabilities include climate scenario analysis inputs, portfolio and asset exposure workflows, and underwriting-friendly climate risk narratives for stakeholders and disclosure needs.
- +Produces audit-ready climate risk deliverables aligned to disclosure expectations
- +Structured scenario analysis workflows with documented assumptions and scenario selection
- +Geospatial physical risk assessments for asset exposure and vulnerability outputs
- +Strong linkage between transition planning language and risk quantification findings
- –Implementation depends on consultant-led scoping, which limits self-serve automation
- –API access is not the primary delivery mechanism for most climate risk work
- –Data ingestion requires careful input preparation to avoid model and factor mismatches
- –Governance controls and RBAC depth are limited for organizations seeking platform-level admin
Best for: Fits when enterprise teams need consultant-led climate risk analysis packaged for reporting and stakeholder review.
McKinsey & Company
enterprise_vendorTop-tier strategy consultancy with sustainability and climate risk practice serving global clients.
Scenario-to-decision integration, where scenario pathways are translated into actionable transition planning narratives.
McKinsey & Company differentiates in climate risk delivery by combining senior consulting teams with frequent integration into client governance, audit rhythms, and executive decision workflows. Its climate risk work commonly covers climate scenario analysis for strategy, physical and transition risk assessments for enterprise planning, and disclosure-aligned reporting packages for stakeholders.
- +Clear linkage from scenario outputs to leadership decisions and reporting cycles
- +Strong staffed delivery model for climate scenario analysis and risk assessment
- +Credible methodology for transition planning and strategy integration
- +High-touch stakeholder management for cross-functional climate workstreams
- –Limited evidence of a dedicated self-serve climate analytics UI or tooling
- –Modeling depth depends heavily on engagement scope and team allocation
- –Data preparation and documentation burden shifts to the client
- –Automation and API surface are not a primary delivery channel
Best for: Fits when large organizations need executive-ready climate risk outputs tied to governance and planning decisions.
Arcadis
specialistGlobal design and consultancy firm offering climate adaptation and risk resilience services.
Scenario-driven climate risk assessments that connect hazard exposure results to planning-grade prioritization for portfolios.
Arcadis supports climate risk delivery through engineering and advisory work that turns hazard and exposure into decision-ready outputs for asset and portfolio governance. Core capabilities center on physical risk assessment, transition risk support, and scenario-based analysis used for reports and internal risk management.
- +Asset-focused physical risk work tied to engineering design constraints
- +Scenario analysis support oriented around real portfolio decision workflows
- +Delivery teams handle end-to-end scoping through report-ready outputs
- +Geospatial hazard and exposure mapping used for actionable prioritization
- –Client data readiness requirements can slow early project ramp-up
- –Automation and API surface are not the primary delivery mechanism
- –Governance features are dependent on project setup and staffing
- –Standardized self-serve configuration is limited for frequent changes
Best for: Fits when built-environment portfolios need climate risk analysis translated into engineering and planning decisions.
Swiss Re
enterprise_vendorGlobal reinsurer providing climate risk advisory, scenario analysis, and resilience consulting services.
Hazard-to-financial risk framing that is tailored for insurance-style underwriting and enterprise risk translation.
Swiss Re delivers climate risk consulting and modeling support with a strong insurance lens, focusing on how hazard and vulnerability translate into financial outcomes. The offering is built to support climate scenario analysis, including scenario pathways and hazard intensity over time, and it ties results to enterprise risk management workflows.
- +Insurance-grade hazard framing for asset exposure and loss logic
- +Consistent scenario pathway approach across physical risk analyses
- +Engagement deliverables designed for governance and disclosure workflows
- +Structured method documentation supports repeatable internal reviews
- –Limited self-serve automation compared with software-first providers
- –Integration depth depends on project scope and data readiness
- –Asset coverage breadth can require commissioning for specific geographies
- –Governance and review cycles add overhead for small teams
Best for: Fits when enterprise risk teams need insurance-grade climate modeling and disclosure-ready documentation support.
Conclusion
After evaluating 10 climate risk, KPMG stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Frequently Asked Questions About Climate Risk
How do ERM-oriented providers convert climate scenario analysis into decision-ready risk outputs?
Which service providers focus on asset-level physical hazard and vulnerability translation for planning and engineering?
How does audit-ready documentation get maintained across scenario assumptions and disclosure expectations?
What onboarding data requirements commonly block early progress in climate risk programs?
Which providers give the strongest governance operating-model work for climate risk ownership and controls?
How do service teams handle data model fit when emissions accounting and scenario outputs must align?
What security and access controls matter most when climate risk work spans multiple stakeholders and systems?
Where does a provider offering consulting-first delivery tend to fall short versus an API-first analytics workflow?
What breaks if climate risk modeling outputs cannot be traced from scenario pathways to governance deliverables?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
How to Choose the Right Climate Risk
We separate options by how they turn climate risk data into decisions, not by who has the most features. The biggest differences show up in how strong the scenario inputs are, how transparent results are, and how well the tool supports ongoing refreshes for climate risk over time.
Scenario input coverage
Why it matters
Scenario input coverage matters for climate risk because different assumptions can swing which hazards look most material. If the tool limits scenarios or uses unexplained defaults, your conclusions may reflect its choices more than your exposure.
How to check
Ask for a demo using two different scenario sets and compare what changes in outputs. Check whether the tool shows the scenario labels and lets you choose among available assumptions rather than only one fixed view.
Method transparency and documentation
Why it matters
Method transparency and documentation matters for climate risk because teams need to defend the numbers to finance, operations, and auditors. Hidden steps make it hard to trace why a result changed after an update.
How to check
Request the methodology page and a sample output screenshot that includes data sources and calculation steps. In the demo, ask what happens when you switch a key input like geography or time horizon, and verify the tool explains the effect.
Geography and granularity handling
Why it matters
Geography and granularity handling matters for climate risk because exposure is location-specific and results can differ widely by site detail. If the tool only works at a coarse level, it may miss hotspots that drive planning.
How to check
Try importing a small list of locations (addresses or coordinates) and compare results to an aggregated region-level run. Ask whether the tool supports site-level mapping and whether it reports the location resolution used for each result.
Update frequency for time horizons
Why it matters
Update frequency for time horizons matters for climate risk because hazards and model assumptions evolve, and stale data can mislead decision-making. You want consistent outputs across re-runs without manual guesswork.
How to check
Ask the vendor what triggers updates to underlying hazard or model inputs, then request an example of a “before vs after” refresh. Run the same location and horizon twice and confirm the tool logs what changed and when.
Risk output explainability
Why it matters
Risk output explainability matters for climate risk because you need to know what drives the risk signal and which hazards contribute. Opaque scoring makes it difficult to prioritize mitigation work.
How to check
In the demo, select one location and ask the tool to break down results by hazard type and driver factors. Verify the explanation is shown in the interface or downloadable report, not only in slide form.
Reporting workflow and audit trail
Why it matters
Reporting workflow and audit trail matters for climate risk because teams must reproduce results for reviews and governance. Without a clear trail of inputs and outputs, it’s hard to answer “what did we assume?” later.
How to check
Request an export bundle (report plus underlying inputs) for a single run and check whether it captures chosen assumptions and time horizons. Ask whether the tool keeps an audit log of parameter changes and re-runs for the same study.
Red flags
- Results change after refresh without a clear log of what inputs updated
- Outputs are shown without a readable explanation of drivers and assumptions
- Scenario selection is limited to one hidden default with no documented choices
Fit by situation
- If you need to compare different future assumptions, prioritize Scenario input coverage.
- If multiple teams will review and reuse results, prioritize Reporting workflow and audit trail.
- If your locations are site-specific, prioritize Geography and granularity handling.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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