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Data Science AnalyticsTop 10 Best Esg Data Services of 2026
Top 10 Esg Data Services ranked for 2026. Compare providers like Sustainalytics, ISS ESG, and MSCI ESG Research to find the best fit.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Sustainalytics
Methodology-driven ESG risk ratings with issue-level transparency and controversy linkage
Built for asset managers and analysts building ESG risk analytics and screening workflows.
ISS ESG
Editor pickIssuer-level controversy and risk monitoring integrated with ESG rating outputs
Built for investment and analytics teams needing standardized issuer ESG and controversy data.
MSCI ESG Research
Editor pickSector-relative MSCI ESG Ratings and controversy-based signals integrated with ESG factor exposure data
Built for institutional investors needing standardized ESG ratings and factor exposure datasets.
Related reading
Comparison Table
This comparison table benchmarks leading ESG data and research providers, including Sustainalytics, ISS ESG, MSCI ESG Research, S&P Global Sustainable1, and Moody's ESG Solutions. It summarizes how each provider structures ESG ratings and related datasets, the coverage scope across industries and regions, and the primary outputs available for screening, risk analysis, and reporting workflows.
Sustainalytics
specialistProvides ESG research and data services that translate issuer, company, and fund information into consistent ESG analytics used for investment decisions and stewardship.
Methodology-driven ESG risk ratings with issue-level transparency and controversy linkage
Sustainalytics stands out for ESG risk ratings that translate corporate disclosures into decision-ready scores and explanations. The provider supports multiple stakeholder needs through research on material ESG issues, controversy monitoring, and equity and fixed income style coverage. Its data service emphasizes comparability across issuers by using structured methodologies and consistent assessment frameworks. Clients typically use the outputs to support portfolio construction, risk reporting, and engagement targeting based on identified ESG risks.
- +Material ESG risk ratings with structured, explainable scoring.
- +Controversy and incident tracking supports ongoing risk monitoring.
- +Broad issuer coverage supports screening across asset classes.
- +Methodology-based outputs improve comparability across companies.
- +Actionable research links scores to specific ESG issues.
- –Coverage gaps can require supplementary data for niche issuers.
- –Scores require contextual interpretation beyond simple thresholds.
- –Strong focus on risk can underserve pure impact reporting needs.
- –Static ratings may lag rapidly changing operational incidents.
- –Additional internal effort is often needed for model integration.
Best for: Asset managers and analysts building ESG risk analytics and screening workflows
More related reading
ISS ESG
specialistDelivers ESG ratings and ESG data services used by investors and asset managers to measure company performance and manage ESG risk.
Issuer-level controversy and risk monitoring integrated with ESG rating outputs
ISS ESG stands out for translating corporate disclosures and controversy signals into structured ESG ratings and risk insights. The service supports ESG data use cases like portfolio screening, risk monitoring, and governance-focused analytics. Coverage spans environmental, social, and governance factors with documented methodology and consistent scoring outputs. The provider is used by investment teams needing decision-grade ESG datasets tied to issuers.
- +Uses structured ESG ratings built from consistent issuer-level methodology.
- +Provides controversy and risk signals alongside standard ESG metrics.
- +Delivers governance and stakeholder dimensions with clear factor structure.
- +Supports screening, monitoring, and portfolio analytics workflows.
- –Requires mapping existing datasets to ISS ESG issuer identifiers.
- –Methodology depth can slow setup for data engineering teams.
- –Some thematic questions need additional data sources beyond ESG scores.
Best for: Investment and analytics teams needing standardized issuer ESG and controversy data
MSCI ESG Research
specialistOffers ESG data services and ESG analytics coverage that supports ESG integration, portfolio construction, and risk management workflows.
Sector-relative MSCI ESG Ratings and controversy-based signals integrated with ESG factor exposure data
MSCI ESG Research stands out for its multi-thematic ESG ratings and structured exposure datasets that integrate company fundamentals with controversies. The service supports ESG data delivery through standardized ratings, factor exposures, and sector-relative scoring used for screens and portfolio construction. Coverage spans environmental, social, and governance topics with governance and controversy signals that can be mapped to benchmarks and mandates. Delivery is oriented to institutional workflows that need consistent, comparable ESG inputs across regions and industries.
- +Broad ESG ratings plus controversy signals for consistent screening workflows
- +Standardized sector-relative scoring supports comparability across industries
- +Multi-thematic exposure data supports factor-based ESG integration
- –Ratings and factor outputs may require governance to avoid model overreliance
- –Less suitable for teams needing fully bespoke data structures
- –Dense datasets can increase time-to-implementation for new users
Best for: Institutional investors needing standardized ESG ratings and factor exposure datasets
S&P Global Sustainable1
specialistProvides ESG data services and sustainability analytics that support corporate reporting analysis and investment ESG integration.
Sector-normalized ESG ratings with benchmarks for consistent cross-company comparisons
S&P Global Sustainable1 stands out with ESG data workflows built around company-level scoring, sector benchmarks, and structured disclosures. Core capabilities include ESG ratings, controversies and risk signals, and time-series visibility for tracking momentum. Coverage supports portfolio and reporting use cases through standardized metrics that can be mapped into internal models. The service also emphasizes data governance for consistent updates across analysts, investors, and risk teams.
- +Structured ESG ratings tied to sector benchmarks for comparable scoring
- +Time-series visibility supports trend analysis across disclosure cycles
- +Controversies and risk signals help connect ratings with events
- +Data governance supports consistent updates across teams
- –Best value relies on established internal mapping to provided metrics
- –Granularity may feel limited for niche themes beyond core frameworks
- –Global coverage breadth can still require cross-checking for special disclosures
- –Implementation effort can rise when integrating into complex ESG models
Best for: Asset owners and analysts needing standardized ESG data and consistent governance
Moody's ESG Solutions
specialistDelivers ESG data services and analytics that connect issuer-level information to sustainability risk assessment for credit and investment use cases.
Climate and ESG data mapped to credit materiality and risk perspectives
Moody's ESG Solutions stands out for combining ESG data with Moody's risk and credit research workflow. The provider supplies issuer, sector, and climate-related ESG data designed to support analytics, screening, and due diligence. Coverage is built to map ESG inputs to credit and risk perspectives, which helps teams connect ESG signals to financial materiality. Delivery focuses on structured datasets and model-ready outputs that fit governance reporting and portfolio monitoring needs.
- +ESG data linked to credit and risk research workflows
- +Structured datasets support screening, monitoring, and analytics pipelines
- +Strong climate and sustainability coverage for issuer and sector analysis
- +Tools for mapping ESG indicators to material risk themes
- –Best results depend on strong internal integration with analytics stacks
- –ESG interpretation guidance can require additional internal stewardship
- –Non-issuers may face limited availability compared with public company coverage
Best for: Risk and credit teams needing ESG data integrated into monitoring workflows
Refinitiv ESG Data and Research
enterprise_vendorProvides ESG data services and company-level sustainability metrics used for research, risk analysis, and portfolio workflows.
Linked ESG metrics and research fields within Refinitiv data workflows
Refinitiv ESG Data and Research stands out for combining ESG data coverage with linked research content and analytics workflows. It supports institutional-grade ESG data retrieval for multiple stakeholder needs including risk, reporting, and engagement use cases. The service integrates with Refinitiv data and analytical tooling so ESG fields can join existing financial, company, and market datasets. Coverage spans environmental, social, and governance themes with standardized indicators aimed at comparability across issuers.
- +Multi-dimension ESG coverage across environmental, social, and governance themes
- +Research content helps translate ESG metrics into structured decision support
- +Strong dataset linkages to Refinitiv financial and issuer information
- –ESG indicator complexity can slow time to first usable workflow
- –Requires careful mapping from internal policies to provider classifications
Best for: Asset managers and analysts building end-to-end ESG research workflows
KPMG
enterprise_vendorDelivers ESG data and analytics consulting that supports ESG data governance, sustainability reporting readiness, and measurement frameworks.
ESG controls and data traceability designed to support assurance workflows
KPMG stands out with broad assurance and advisory capabilities that connect ESG reporting outcomes to audit-grade evidence. Its ESG data services cover ESG data strategy, controls design, data model and collection, and preparation for reporting frameworks and assurance. Teams also get support for materiality, risk and opportunity assessment, and governance processes that shape measurable ESG metrics. Delivery typically emphasizes documentation, traceability, and stakeholder-ready reporting artifacts.
- +Audit-oriented evidence trail for ESG metrics and reporting inputs
- +End-to-end support from ESG data design to reporting readiness
- +Strong governance and controls framework for repeatable data collection
- +Expert linkage between ESG data, risks, and materiality outcomes
- –Engagements can be heavy on documentation for small data programs
- –Best fit for complex reporting environments with assurance needs
- –May require internal alignment to sustain data ownership and quality
Best for: Enterprises needing assurance-ready ESG data collection and reporting governance
EY
enterprise_vendorOffers ESG data services that combine sustainability reporting expertise with data and analytics delivery for governance and traceability.
Assurance-ready evidence pack creation from ESG data lineage and controls testing
EY stands out for delivering ESG data services that connect reporting requirements with assurance-ready governance, processes, and controls. The offering supports ESG data management across value-chain scopes, including emissions, metrics, and policy data needed for enterprise reporting workflows. EY teams commonly integrate ESG data into existing planning, risk, and reporting processes to reduce duplication and strengthen auditability. Delivery typically emphasizes documentation, traceability, and evidence packs used during internal review and external assurance.
- +Strong linkage of ESG metrics to reporting controls and evidence artifacts
- +Value-chain data support for emissions and non-financial KPI governance
- +Assurance-oriented approach to audit trails and documentation readiness
- +Integration with enterprise risk and reporting workflows to reduce rework
- –More suitable for large programs than lightweight data work
- –Delivery depends on structured client data supply and process maturity
- –Implementation effort can be high for fragmented ESG source systems
Best for: Enterprises needing assurance-ready ESG data governance and reporting integration
PwC
enterprise_vendorProvides ESG data services that enable structured collection, validation, and analytics for sustainability reporting and stakeholder metrics.
Assurance-grade data lineage and evidence documentation for ESG reporting
PwC stands out with enterprise-grade ESG data services delivered through global assurance and consulting workflows tied to reporting and controls. The firm supports ESG data management, data lineage, and evidence preparation for regulated disclosures across multiple frameworks. PwC also helps standardize taxonomy, materiality inputs, and ESG governance so datasets can be audited end to end. Strong emphasis on internal controls and documentation makes the output suitable for assurance-ready reporting cycles.
- +Assurance-led approach strengthens evidence quality for ESG disclosures
- +ESG data lineage and controls support audit-ready reporting workflows
- +Framework mapping helps convert raw metrics into standardized reporting structures
- +Governance support improves consistency across teams and business units
- –Complex engagements can slow turnaround for smaller, time-sensitive datasets
- –Data collection dependencies require strong client source-system readiness
- –Customization for multiple frameworks may increase implementation effort
Best for: Enterprises needing assurance-ready ESG data management and reporting controls
Accenture
enterprise_vendorDelivers ESG data engineering and analytics programs that unify sources, automate controls, and support enterprise sustainability reporting.
ESG data governance and audit-ready lineage design embedded in data platform transformations
Accenture stands out for integrating ESG data work into broader enterprise transformation programs that include data platforms, analytics, and operating model changes. The delivery typically spans ESG data sourcing, normalization, lineage, quality controls, and reporting readiness across corporate and supplier data. Capabilities also extend to sustainability analytics, assurance support workflows, and governance design tied to risk, compliance, and performance management. Depth is strongest when ESG data needs connect to existing cloud and enterprise data architecture programs.
- +End-to-end ESG data engineering linked to enterprise cloud and analytics programs
- +Robust data governance design for ESG metrics, lineage, and audit-ready controls
- +Strong capability in ESG reporting readiness and assurance workflow enablement
- –Delivery often fits large transformation programs more than small stand-alone ESG tasks
- –Complex engagements can slow iterations for teams needing rapid metric experiments
- –Supplier data normalization effort can be substantial without existing data maturity
Best for: Enterprises needing integrated ESG data governance and platform modernization
How to Choose the Right Esg Data Services
This buyer's guide explains how to select ESG data services providers using provider-specific capabilities from Sustainalytics, ISS ESG, MSCI ESG Research, S&P Global Sustainable1, Moody's ESG Solutions, Refinitiv ESG Data and Research, KPMG, EY, PwC, and Accenture. It maps common buying goals to what each provider does best and to the specific tradeoffs teams hit during implementation and integration. It also highlights recurring mistakes such as model overreliance, identifier mapping gaps, and assurance-heavy delivery overhead.
What Is Esg Data Services?
ESG data services provide issuer and company ESG research inputs such as structured ESG risk ratings, factor exposure datasets, and controversy or incident signals that support investment, risk, and reporting workflows. Teams use these services to turn corporate disclosures into consistent decision-grade metrics for screening, monitoring, portfolio construction, and stewardship engagement. Sustainalytics and ISS ESG exemplify ESG data services that convert issuer information and controversy signals into standardized analytics used directly in investment processes. KPMG and PwC represent ESG data services that focus on assurance-ready governance, data lineage, and evidence preparation for regulated sustainability reporting.
Key Capabilities to Look For
The right ESG data service provider matches the intended workflow so the ESG outputs fit how portfolios are built, how risks are monitored, or how reporting is assured.
Methodology-driven ESG risk ratings with issue-level transparency
Sustainalytics delivers methodology-based ESG risk ratings with structured, explainable scoring and actionable research links that connect scores to specific ESG issues. ISS ESG also provides standardized issuer-level ESG ratings with controversy and risk signals integrated into the output.
Issuer-level controversy and incident monitoring signals
ISS ESG integrates issuer-level controversy and risk monitoring alongside structured ESG rating outputs for ongoing risk awareness. Sustainalytics pairs controversy and incident tracking with its risk rating coverage to support continuous monitoring.
Sector-relative ratings and factor exposure datasets for comparability
MSCI ESG Research stands out with sector-relative ESG ratings and controversy-based signals integrated with ESG factor exposure data. S&P Global Sustainable1 supports comparable cross-company scoring through sector benchmark approaches and sector-normalized ESG ratings.
Climate and ESG data mapped to credit materiality and risk
Moody's ESG Solutions maps climate and ESG data into credit materiality and risk perspectives so credit and risk teams can connect sustainability signals to financial materiality. This design supports screening and due diligence where ESG inputs must translate into risk-oriented analytics.
Linked ESG metrics and research embedded in a financial data workflow
Refinitiv ESG Data and Research emphasizes linked ESG metrics and research fields inside Refinitiv data workflows so ESG fields can join existing financial and issuer datasets. This reduces friction for teams already working in Refinitiv environments that need end-to-end ESG research workflows.
Assurance-ready ESG governance, controls, and evidence lineage
KPMG delivers audit-oriented ESG data traceability and ESG controls designed for assurance workflows, including documentation and repeatable data collection governance. EY and PwC extend that assurance orientation through evidence pack creation from ESG data lineage and controls testing and through assurance-grade data lineage and documentation for ESG reporting.
How to Choose the Right Esg Data Services
Selecting the right provider starts with matching the provider type to the primary job to be done, such as investment analytics, credit risk integration, or assurance-ready reporting governance.
Match the provider to the workflow: investment, credit risk, or assurance
For portfolio screening, risk reporting, and stewardship engagement workflows, Sustainalytics and ISS ESG provide structured ESG risk ratings and controversy linkage that teams can plug into screening pipelines. For institutional factor-based integration, MSCI ESG Research supplies sector-relative ESG ratings plus ESG factor exposure datasets used for portfolio construction and risk management. For assurance-ready reporting governance, KPMG, EY, and PwC focus on ESG data controls, data traceability, evidence packs, and end-to-end lineage that auditors can evaluate.
Demand the exact signal types needed: ratings versus factor exposures versus controversies
If the requirement is issuer-level decision scores tied to specific ESG issues, Sustainalytics provides issue-level transparency and links scores to specific ESG issues. If the requirement is standardized issuer ESG plus integrated controversy and risk signals, ISS ESG is built around that combined output. If the requirement is sector-relative comparability plus factor exposures, MSCI ESG Research and S&P Global Sustainable1 provide sector benchmarking and sector-relative scoring along with controversy signals.
Plan for integration friction like identifier mapping and model design
ISS ESG often requires dataset mapping from existing issuer identifiers to ISS ESG issuer identifiers, which adds setup time for data engineering. MSCI ESG Research can increase time-to-implementation because datasets are dense and outputs may need governance to avoid model overreliance. S&P Global Sustainable1 can demand internal mapping work because best value depends on established internal mapping of provided metrics into internal models.
Choose the provider depth that fits the organization’s internal data maturity
Refinitiv ESG Data and Research is strongest when teams already use Refinitiv tooling because its linked ESG metrics and research fields are designed to join Refinitiv financial and issuer information. Moody's ESG Solutions is strongest when internal risk and credit modeling can incorporate ESG indicators into credit materiality workflows. Accenture fits organizations pursuing enterprise platform modernization because ESG data governance, normalization, lineage, and quality controls are embedded into broader transformation programs.
Align the assurance or governance level to the compliance and audit expectations
When assurance readiness drives the work, KPMG provides ESG controls and data traceability designed for assurance workflows with documentation and stakeholder-ready artifacts. EY strengthens value-chain scope coverage and produces assurance-ready evidence packs from ESG data lineage and controls testing. PwC delivers assurance-grade data lineage and evidence documentation with framework mapping that converts raw metrics into standardized reporting structures.
Who Needs Esg Data Services?
Different organizational roles need ESG data services for different outcomes, from investment screening to audit-ready reporting governance.
Asset managers and analysts building ESG risk analytics and screening workflows
Sustainalytics fits because methodology-driven ESG risk ratings include issue-level transparency and controversy linkage used for screening and ongoing risk monitoring. Refinitiv ESG Data and Research also fits because linked ESG metrics and research fields are designed to join existing Refinitiv financial and issuer datasets.
Investment and analytics teams needing standardized issuer ESG and controversy data
ISS ESG fits because it combines standardized issuer ESG ratings with controversy and risk signals that support screening, monitoring, and portfolio analytics workflows. MSCI ESG Research is also a strong fit when sector-relative scoring and factor exposure datasets are needed for institutional screens.
Institutional investors requiring sector-relative comparability and factor exposure integration
MSCI ESG Research fits because it provides sector-relative MSCI ESG Ratings and integrates controversy-based signals with ESG factor exposure data used for factor-based ESG integration. S&P Global Sustainable1 fits when standardized ESG data must be benchmarked via sector benchmarks for consistent cross-company comparisons.
Risk and credit teams that must connect ESG inputs to credit materiality and risk perspectives
Moody's ESG Solutions fits because it maps climate and ESG data to credit materiality and risk perspectives designed for credit and risk monitoring workflows. Sustainalytics can also support these teams when risk ratings and controversy monitoring need to be incorporated into risk-aware screening.
Enterprises needing assurance-ready ESG data collection, controls, lineage, and evidence
KPMG fits because ESG controls and data traceability are designed for assurance workflows and repeatable data collection governance. PwC and EY fit because PwC focuses on assurance-grade data lineage and evidence documentation and EY focuses on assurance-ready evidence pack creation from ESG data lineage and controls testing.
Enterprises modernizing platforms and embedding ESG governance into enterprise data architecture
Accenture fits because it delivers end-to-end ESG data engineering, including sourcing, normalization, lineage, quality controls, and reporting readiness across corporate and supplier data. This is a strong match when ESG requirements must be unified with existing cloud and enterprise data architecture programs.
Common Mistakes to Avoid
Common failures come from choosing a provider whose outputs do not match the intended workflow or from underestimating integration and governance work required to operationalize ESG data.
Using ESG ratings as direct thresholds without interpretation
Sustainalytics provides risk ratings that require contextual interpretation beyond simple thresholds, which matters when teams try to automate decisions without issue-level understanding. MSCI ESG Research also benefits from governance to avoid model overreliance on factor-heavy outputs.
Underestimating identifier and dataset mapping work
ISS ESG can require mapping datasets to ISS ESG issuer identifiers, which slows setup for teams with existing issuer universes. S&P Global Sustainable1 can require internal mapping into provided metrics, which adds integration effort in complex models.
Overlooking density and time-to-implementation for new users
MSCI ESG Research delivers dense datasets with factor exposure integration, which can increase time-to-implementation for new users. Refinitiv ESG Data and Research includes ESG indicator complexity that can slow time to first usable workflow.
Choosing assurance-heavy delivery without the right operating model
KPMG engagements can be documentation-heavy for small data programs, which can slow outcomes when internal data ownership and quality processes are not defined. EY and PwC similarly depend on structured client data supply and process maturity, which increases implementation effort when ESG source systems are fragmented.
How We Selected and Ranked These Providers
we evaluated every service provider on three sub-dimensions: capabilities with weight 0.4, ease of use with weight 0.3, and value with weight 0.3. The overall rating equals 0.40 × features plus 0.30 × ease of use plus 0.30 × value. Sustainalytics separated itself through methodology-driven ESG risk ratings that deliver explainable, issue-level transparency tied to controversy monitoring, which raised the capabilities dimension and supported decision-ready screening and risk reporting workflows. Lower-ranked providers such as Accenture still scored well for enterprise ESG governance and audit-ready lineage design in transformation programs, but their fit is narrower for teams needing immediate standalone ESG datasets.
Frequently Asked Questions About Esg Data Services
How do Sustainalytics, ISS ESG, and MSCI ESG Research differ in how ESG risks and controversies are translated into datasets?
Which provider is best aligned to portfolio construction workflows that need consistent factor exposures and comparability across issuers?
What delivery formats and data structures should be expected from S&P Global Sustainable1 versus Moody's ESG Solutions for analytics use cases?
How do Refinitiv ESG Data and Research and MSCI ESG Research support blending ESG signals with existing market and fundamental data?
When onboarding an ESG data program for regulated disclosures, how do KPMG, EY, and PwC differ in evidence and controls support?
Which provider is most suited for enterprises that need audit-ready ESG data lineage across multiple reporting frameworks and internal teams?
What common technical onboarding issues occur when integrating ESG datasets from rating vendors with enterprise data platforms?
How do Moody's ESG Solutions and Sustainalytics connect ESG inputs to financial risk perspectives used by risk teams?
What should enterprises do when stakeholders disagree on materiality or coverage scope across ESG reporting and assurance workflows?
Conclusion
After evaluating 10 data science analytics, Sustainalytics 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.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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