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Top 10 Best Actuarial Consulting Services of 2026

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Economics

Top 10 Best Actuarial Consulting Services of 2026

Guide to actuarial consulting services with a comparison of Aon, Oliver Wyman, and Hymans Robertson for insurers and pension teams.

19 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

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Framework: Features 40% · Ease 30% · Value 30%

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Actuarial consulting services support insurers, reinsurers, pension trustees, and healthcare organizations by translating risk and financial assumptions into defensible pricing, reserving, and funding decisions. This comparison helps analysts and operators weigh delivery models, domain depth, and governance fit when selecting an actuarial partner for pensions, insurance, and health programs.

Hymans Robertson is the best overall choice for boards and trustees needing technically defensible actuarial work because its governance-led reporting clearly traces assumptions and experience through to scenario outcomes that drive decisions, while Oliver Wyman fits teams needing regulator-grade scrutiny with assumption governance that turns reserving and pension valuation outputs into stakeholder-ready narratives.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Hymans Robertson

Governance-focused actuarial reporting that ties assumptions, experience, and scenario outcomes to board decisions.

Best for: Fits when boards and trustees need technically defensible actuarial work with traceable assumptions.

2

Oliver Wyman

Editor pick

Assumption governance that ties technical reserving and pension valuation outputs to stakeholder-ready narratives.

Best for: Fits when actuarial modeling must support regulator-grade scrutiny across reserving and pension liability decisions.

3

Aon

Editor pick

Committee-ready actuarial deliverables that tie methodology choices to business drivers and governance expectations across measurement cycles.

Best for: Fits when enterprise governance needs defensible actuarial results across reserving, capital, and pension valuations.

Comparison Table

1
Hymans RobertsonBest overall
specialist
9.0/10
Overall
2
enterprise_vendor
8.7/10
Overall
3
enterprise_vendor
8.6/10
Overall
4
enterprise_vendor
8.4/10
Overall
5
enterprise_vendor
8.2/10
Overall
6
7.7/10
Overall
7
enterprise_vendor
7.4/10
Overall
8
7.2/10
Overall
9
6.8/10
Overall
10
enterprise_vendor
6.7/10
Overall
#1

Hymans Robertson

specialist

Independent UK actuarial and financial consultancy advising on pensions, insurance, and investments.

9.0/10
Overall
Features9.0/10
Ease of Use9.0/10
Value9.0/10
Standout feature

Governance-focused actuarial reporting that ties assumptions, experience, and scenario outcomes to board decisions.

Hymans Robertson supports claims reserving workflows that rely on loss development analysis and method selection, including practical use of chain-ladder style approaches and scenario sensitivity around ultimate loss estimates. For pensions, the firm builds around mortality tables, longevity risk, and funding and liability measurement outputs that feed governance packs and investment discussions. Engagements usually include documented assumption setting and actuarial gain and loss attribution so stakeholders can trace key drivers back to experience and market inputs.

A key tradeoff is that governance-grade outputs and stakeholder reporting require active data preparation from the client, especially when datasets for claims experience or pension experience must be mapped into the consulting workflow. Hymans Robertson is a strong fit when governance, auditability, and technical depth matter more than rapid prototyping or tool self-service.

Pros
  • +Clear driver traceability from assumptions to reserving and funding conclusions
  • +Strong pensions capability grounded in mortality and longevity risk work
  • +Methodical experience and assumption sensitivity for stakeholder governance
  • +Deliverables structured for trustees, boards, and regulatory audiences
Cons
  • –Client data mapping effort can be significant for claims experience datasets
  • –Tooling support for internal automation is limited compared with software vendors
  • –Project timelines depend heavily on the speed of stakeholder sign-off cycles
  • –Specialist depth can outpace needs for narrow, one-off calculations
Use scenarios
  • Claims reserving teams

    Quarterly reserving with experience sensitivity

    Stakeholder-ready reserving rationale

  • Pension trustees

    Funding valuation and liability measurement

    Defensible funding plan inputs

Show 2 more scenarios
  • Risk and finance leadership

    Scenario analysis for solvency and capital

    Consistent risk narratives

    Stochastic and scenario perspectives connect risk drivers to changes in capital and liability views.

  • Actuarial in-house teams

    Model review and methodology calibration

    Aligned internal methodology

    External actuarial expertise sharpens assumption setting and experience interpretation for internal governance.

Best for: Fits when boards and trustees need technically defensible actuarial work with traceable assumptions.

#2

Oliver Wyman

enterprise_vendor

Management consulting firm with a dedicated actuarial and insurance practice.

8.7/10
Overall
Features8.7/10
Ease of Use8.7/10
Value8.7/10
Standout feature

Assumption governance that ties technical reserving and pension valuation outputs to stakeholder-ready narratives.

Oliver Wyman supports actuarial valuation engagements that connect assumption setting to ultimate loss estimates and liability measurement outputs for internal committees and external stakeholders. The provider is well suited to experience study and reserving programs that need controlled updates to loss development analysis and scenario basis for both planning and regulatory submissions. It also handles pension funding valuation and related liability-driven investment considerations where discount rate choices and governance of inputs materially affect results.

A tradeoff appears in the level of formality required for governance and documentation in complex engagements, which can slow turnaround for teams that need quick, lightweight analysis. Oliver Wyman fits best when actuarial work must withstand scrutiny from audit trails of assumptions and modeling methodology across multiple stakeholders, such as finance, risk, and actuarial leadership.

Pros
  • +Strong governance over assumption setting and methodology documentation
  • +Credible outputs for reserving and solvency style stakeholder reviews
  • +Deep pension liability measurement experience for defined benefit plans
  • +Clear linkage from model inputs to decision-ready reporting
Cons
  • –Engagement structure can slow iterative, rapid-turnaround analysis
  • –Automation and API surface are not a primary engagement deliverable
Use scenarios
  • Insurance finance and reserving teams

    Claims reserving with regulator-aligned documentation

    More defensible reserve positions

  • Defined benefit pension sponsors

    Pension liability measurement under governance controls

    Decision-ready pension valuation

Show 1 more scenario
  • Solvency and capital model owners

    Capital modeling with assumption traceability

    More consistent capital conclusions

    Structures scenario work and reporting so risk and finance leadership can review drivers.

Best for: Fits when actuarial modeling must support regulator-grade scrutiny across reserving and pension liability decisions.

#3

Aon

enterprise_vendor

Professional services firm providing risk, retirement, and health consulting including actuarial services.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Committee-ready actuarial deliverables that tie methodology choices to business drivers and governance expectations across measurement cycles.

Aon fits teams that need more than a standalone actuarial valuation output because engagements often include end-to-end support for assumption setting, model methodology selection, and stakeholder-ready interpretation. In practice, Aon’s work cadence is geared toward regulatory filing timelines, internal capital governance, and executive review cycles rather than only producing a spreadsheet set. When loss development analysis and ultimate loss estimate work is in scope, Aon commonly ties results to scenario narratives and defensible assumptions for committees that audit reasoning, not just numbers.

A tradeoff appears when the engagement needs heavy automation or a self-serve analytics interface since Aon’s core strength is consulting delivery, not a product-like API layer. Aon is most useful when internal teams need technical guidance to manage model governance, align outputs to reporting needs, and maintain consistency across successive measurement cycles such as reserving updates and pension funding valuation reviews.

Pros
  • +Strong actuarial governance support for committee-ready reserve and capital narratives
  • +Depth in pension liability measurement and cross-cycle assumption control
  • +Experienced teams that translate model methodology into finance and risk language
  • +Clear documentation practices for methodology, assumptions, and limitations
Cons
  • –Self-serve automation and API access are limited compared with analytics product vendors
  • –Engagement coordination can add cycle time for approvals and signoff steps
  • –Model customization can require structured discovery rather than rapid iteration
  • –Tooling consistency depends on project staffing and internal model ownership
Use scenarios
  • Insurance finance and reserving leads

    Quarterly claims reserving update with governance

    Faster committee alignment

  • Risk and capital planning teams

    Economic capital scenarios and stress overlays

    Consistent scenario comparisons

Show 2 more scenarios
  • Defined benefit plan sponsors

    Pension liability measurement and funding support

    More defensible liability estimates

    Aon runs assumption setting workstreams and produces governance-ready valuation documentation.

  • Regulatory compliance owners

    Regulatory filing support for valuation methods

    Reduced rework risk

    Aon helps translate actuarial methodology and assumptions into filing-aligned explanations.

Best for: Fits when enterprise governance needs defensible actuarial results across reserving, capital, and pension valuations.

#4

Mercer

enterprise_vendor

Consulting firm specializing in health, wealth, and career solutions including actuarial services.

8.4/10
Overall
Features8.4/10
Ease of Use8.5/10
Value8.3/10
Standout feature

Governance-led actuarial workflow that turns assumption setting into review-ready valuation outputs across reserving and pension work.

Mercer delivers actuarial consulting that concentrates on governance-grade assumptions and defensible methods for valuation and risk work across insurance and employee benefits. Core strengths include experienced actuarial teams for claims reserving, pension liability measurement, and capital modeling, with documentation built for regulatory and internal review cycles.

Pros
  • +Strong actuarial governance around assumption setting and valuation methodology
  • +Credible claims reserving work that produces usable ultimate loss estimates
  • +Seasoned pension liability measurement support for defined benefit plan reporting
  • +Clear ownership in multidisciplinary risk and capital modeling engagements
Cons
  • –Less focused for organizations that want mostly software tooling and self-serve modeling
  • –Model turnarounds depend on review cadence and availability of actuarial data inputs
  • –Automation and API surface are not the primary delivery mechanism
  • –Sandboxing and rapid model iteration are limited compared with in-house platforms

Best for: Fits when actuarial work needs defensible assumptions and end-to-end consulting delivery for reserving or pension valuation.

#5

Milliman

enterprise_vendor

Global actuarial and management consulting firm serving insurers, healthcare organizations, and pension plans.

8.2/10
Overall
Features8.2/10
Ease of Use8.3/10
Value8.1/10
Standout feature

Project teams provide model logic and uncertainty work packaged for internal and external review cycles, not just point estimates.

Milliman performs actuarial consulting work across claims reserving, pension and other retirement liabilities, and enterprise risk tasks that require accountable technical assumptions and defensible outputs. It distinguishes itself through depth in valuation workflows and cross-domain modeling for financial reporting, regulatory needs, and capital-style assessments.

Pros
  • +Strong actuarial delivery for reserving and liability measurement use cases
  • +Clear technical framing for assumption setting and experience study interpretation
  • +Proven capability in scenario and uncertainty work for ultimate loss estimates
  • +Consulting outputs designed for stakeholder review cycles and documentation needs
Cons
  • –Less suitable for teams seeking turnkey self-serve modeling workflows
  • –Integration depth depends on project scope and data handoff quality
  • –Governance and review cycles can add overhead for small organizations
  • –Automation and API surface are not the primary delivery channel

Best for: Fits when insurers or pension sponsors need technically rigorous actuarial consulting with review-ready documentation and uncertainty handling.

#6

Actuarial Solutions

specialist

Actuarial consulting firm serving insurance and self-insured clients.

7.7/10
Overall
Features7.7/10
Ease of Use7.7/10
Value7.7/10
Standout feature

Stochastic reserving uncertainty framing packaged into client documentation that supports assumption setting discussions and reserve conclusions.

Actuarial Solutions delivers actuarial consulting work centered on reserving and valuation deliverables for insurance and pensions stakeholders. The firm is distinct for translating actuarial methods into client-ready outputs such as assumption setting narratives and reserve or liability measurement documentation, rather than presenting as a general analytics vendor.

Pros
  • +Clear method selection support for reserving and ultimate loss estimation
  • +Deliverables align with regulatory-style documentation expectations
  • +Stochastic reserving framing for uncertainty communication in outcomes
  • +Strong fit for pensions valuation and liability measurement narratives
Cons
  • –Less suited for teams needing an internal modeling automation toolchain
  • –Resourcing depends on engagement scope and depth of required documentation
  • –No publicly visible product-style API or integration surface for tooling
  • –Turnaround can lag when inputs or data definitions are not locked early

Best for: Fits when insurers or pension sponsors need documented actuarial consulting that converts methods into audit-ready outputs.

#7

EY Actuarial Services

enterprise_vendor

Actuarial advisory practice within Ernst & Young.

7.4/10
Overall
Features7.4/10
Ease of Use7.4/10
Value7.4/10
Standout feature

Governance-focused delivery that ties stochastic reserving outputs to structured assumption narratives for committee and regulatory stakeholders.

EY Actuarial Services differentiates itself through end-to-end actuarial advisory that pairs technical reserving and capital analytics with enterprise governance and regulatory-ready deliverables. Core capabilities cover claims reserving work like loss development analysis and ultimate loss estimate production, plus stochastic reserving support for tail risk and volatility.

Pros
  • +Coordinated actuarial opinion support for regulatory and audit audiences
  • +Strong stochastic reserving engagement for volatility and tail scenarios
  • +Clear modeling narrative that aligns assumptions with committee discussions
  • +Experienced coverage across reserving, capital modeling, and pension liability work
Cons
  • –Tooling depth is less transparent than consultancy scope and staffing
  • –Governance-heavy work can slow cycles when decisions need fast iteration
  • –Automation and integration depend heavily on client data readiness
  • –Limited evidence of self-serve workflows compared with software-first vendors

Best for: Fits when insurers or sponsors need coordinated reserving, capital, and pension actuarial advisory with governance-ready documentation.

#8

Actuarial Partners Consulting

specialist

Independent actuarial consultancy providing insurance and reinsurance advisory services.

7.2/10
Overall
Features7.2/10
Ease of Use7.3/10
Value7.1/10
Standout feature

Method-driven reserving and experience study documentation that ties ultimate loss estimate choices to explicit assumption rationales.

Actuarial Partners Consulting delivers actuarial consulting support for claims reserving, experience studies, and actuarial valuation work tied to regulatory and governance deliverables. The firm’s core strength is converting client loss and liability data into defensible assumption sets and methodology choices, then documenting results in formats that support actuarial opinion and internal review workflows.

Pros
  • +Senior-led claims reserving and assumption setting for reserving governance needs
  • +Experience study methodology work that translates drivers into usable actuarial outputs
  • +Clear documentation practices that support actuarial review and decision meetings
  • +Capability coverage spanning insurance and defined benefit pension liability work
Cons
  • –Consulting delivery limits self-serve automation and rapid iteration without model work
  • –Integration and API surface are not a primary offering for downstream model systems
  • –Workflow throughput depends on engagement staffing rather than predefined templates
  • –Model governance controls require active coordination from client data owners

Best for: Fits when internal actuarial teams need senior modeling judgment plus documentation support for reserving or pension valuation governance.

#9

Deloitte Actuarial and Insurance Risk

enterprise_vendor

Actuarial and insurance risk consulting practice within Deloitte.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Actuarial engagements that connect reserving modeling choices to capital and solvency style decision framing.

Deloitte Actuarial and Insurance Risk delivers actuarial consulting for insurance reserving, capital modeling, and risk advisory work that ties quantitative outputs to regulatory and governance needs. Delivery centers on claims reserving and liability measurement support, with model design choices that can reflect loss development patterns and scenario stress.

Pros
  • +Consulting delivery links reserving outputs to regulatory and governance requirements
  • +Strong capability across insurance and pension liability measurement workstreams
  • +Modeling engagement emphasizes scenario analysis for capital and solvency contexts
  • +Assumption setting support tailored to client reporting and stakeholder needs
Cons
  • –Engagement-based delivery reduces repeatability for internal self-serve teams
  • –Data preparation and model specification work can be heavy for complex portfolios
  • –Automation and API surface are not the focus for day to day delivery
  • –Stochastic reserving depth depends on scope and specialist availability

Best for: Fits when regulated insurers or sponsors need integrated reserving, capital, and pension liability consulting deliverables.

#10

PwC Actuarial Services

enterprise_vendor

Actuarial consulting practice within PricewaterhouseCoopers serving insurance and pensions clients.

6.7/10
Overall
Features6.7/10
Ease of Use6.7/10
Value6.7/10
Standout feature

Governance-focused deliverables that connect assumption setting, uncertainty framing, and stakeholder communication into one reserving and valuation workflow.

PwC Actuarial Services delivers actuarial consulting work for reserving, risk, and valuation needs across insurance and financial services, with emphasis on rigorous documentation and stakeholder-ready deliverables. The firm supports claims reserving and actuarial valuation cycles that feed ultimate loss estimate development, liability measurement, and actuarial opinion outputs.

Pros
  • +Strong end-to-end ownership from data intake through reserving and valuation deliverables
  • +Clear assumption setting narratives that map to governance and stakeholder review
  • +Reliable support for regulatory filing style documentation and decision traceability
  • +Deep capability in catastrophe and risk frameworks used in capital modeling
Cons
  • –Customization can increase cycle time when scope boundaries are not tightly defined
  • –Automation and API surface are not a primary delivery channel for most engagements
  • –Model transparency depends on engagement approach and data availability
  • –Independent model buildouts may require additional internal project management bandwidth

Best for: Fits when insurers or pension sponsors need consulting-grade actuarial valuation and reserving with governance-ready outputs.

Conclusion

After evaluating 10 actuarial consulting, Hymans Robertson 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.

Our Top Pick
Hymans Robertson

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 Actuarial Consulting

How do Milliman, Oliver Wyman, and Aon differ in how they document assumption governance for reserving and pension work?
Milliman packages model logic and uncertainty handling into audit-ready documentation that supports review cycles. Oliver Wyman ties reserving and pension outputs to assumption narratives built for regulator-grade scrutiny. Aon links technical actuarial analysis to enterprise governance and finance workflows so downstream decisions map back to the documented drivers.
Which actuarial consulting firms handle stochastic reserving uncertainty framing in client deliverables for regulators or committees?
EY Actuarial Services provides stochastic reserving support and then structures the outputs into governance-focused narratives. Actuarial Solutions includes stochastic reserving uncertainty framing packaged into client documentation that supports assumption setting discussions. Milliman also includes uncertainty ranges and model logic to support review-ready interpretation.
How do claims reserving engagements typically get set up across Deloitte, PwC Actuarial Services, and Hymans Robertson?
Deloitte coordinates claims reserving and liability measurement support so discounting and scenario stress align with stakeholder reporting. PwC Actuarial Services blends technical modeling with policy and governance inputs that feed reserving and actuarial opinion outputs. Hymans Robertson runs structured assumption setting and scenario work that produces traceable board or trustee decision materials.
Which firms put the most emphasis on integrating actuarial outputs into finance, risk, and capital workflows after the calculations?
Aon couples reserving and pension-oriented analysis with enterprise risk and finance workflows that sit downstream of the calculations. Deloitte and PwC Actuarial Services also connect outputs to governance cycles, but Deloitte emphasizes integrated reserving, capital, and pension delivery. PwC Actuarial Services emphasizes audit-friendly handoffs that keep assumption and uncertainty communication consistent across the workflow.
What data migration and data model work is usually required when existing loss or liability datasets must map into a consulting team’s schema?
Actuarial Partners Consulting focuses on converting client loss and liability data into defensible assumption sets with clear methodology documentation, which requires mapping source fields into a consistent internal data model. Mercer’s governance-led workflow typically needs structured inputs so assumption setting outputs align with internal review cycles for reserving and pension valuation. Milliman’s audit-grade traceability approach often requires clean mapping from historical claim data and liability inputs into a model logic structure used for uncertainty ranges.
How do firms handle SSO, RBAC, and audit logging when clients need controlled access to workpapers and model artifacts?
Deloitte’s governance-oriented delivery supports controlled stakeholder access patterns across valuation and solvency considerations, which usually means RBAC tied to roles in the project workflow. Oliver Wyman and EY Actuarial Services emphasize model narrative control and structured documentation, which is typically implemented with provisioning and access controls over work artifacts. Kroll, CRA, and NERA commonly operationalize audit log requirements for regulated stakeholders, especially when model changes must be traceable.
When onboarding a new client, what does the first month often require from internal teams at Mercer, Oliver Wyman, and Milliman?
Mercer typically asks for documented governance inputs and iterative model refinement tied to stakeholder expectations for reserving and pension valuation. Oliver Wyman typically requires assumption governance alignment so regulator-facing modeling output stays traceable to assumptions. Milliman often needs early agreement on model logic and uncertainty handling so the subsequent deliverables support internal and external review cycles.
What breaks if experience study inputs are inconsistent across periods, and how do Actuarial Solutions and Hymans Robertson address it?
Inconsistent experience study inputs can misalign loss development patterns and distort ultimate loss estimate framing, which then cascades into governance-ready documentation. Actuarial Solutions addresses this by structuring method selection discussions and converting the results into client-ready assumption setting narratives. Hymans Robertson mitigates the impact by producing traceable assumptions and scenario outcomes aligned to board or trustee decision needs.
Which providers show stronger extensibility for adding scenario views or additional stakeholders to an existing reserving or valuation workflow?
EY Actuarial Services supports coordinated reserving and capital advisory with stochastic framing, which enables adding scenario views as stakeholder needs evolve across a governance plan. Deloitte’s end-to-end consulting approach across valuation and solvency style decision framing supports extension from reserving into capital and pension liability workflows. Mercer extends via iterative refinement and review-ready outputs that remain consistent across internal oversight cycles.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Actuarial Consulting

Actuarial consulting options differ most in how well they handle data intake and repeatable reserving workflows, and in how directly they can automate outputs. We focus on workflow audit trails, integration breadth, and what you can validate in a sample deliverable before committing.

Workpaper export format control

Why it matters

With workpaper export format control, the consulting output stays usable for your internal review and downstream documentation. It reduces rework when you need consistent assumptions, exhibits, and traceability.

How to check

Ask for a sample output set tied to a reserving scenario and request the exact export formats offered. Check whether tables, assumptions, and narrative artifacts arrive in a reviewable structure rather than screenshots.

Re-run automation for model updates

Why it matters

Re-run automation for model updates matters when you need frequent revisions across experience and reserving inputs. It limits the chance that changes drift across exhibits or versions.

How to check

Request a demo workflow where you change one input (like a time period or dataset) and re-run to produce a new set of outputs. Confirm whether the system regenerates the full exhibit set consistently from the updated inputs.

Claims data intake and mapping clarity

Why it matters

Claims data intake and mapping clarity affects whether the reserving work reflects what your team actually holds. Ambiguous mappings lead to avoidable discrepancies in timing, cohorts, and aggregation.

How to check

Ask for an example data mapping workbook or template used in the workflow. Provide a small sample dataset (or ask what sample they use) and verify how they handle common mismatches like missing fields, coding changes, and duplicates.

Assumption traceability to outputs

Why it matters

Assumption traceability to outputs is central for actuarial consulting reviews, since you must explain what drove each result. Strong traceability makes it easier to replicate and defend decisions.

How to check

During a demo, select an output exhibit and trace back to the specific assumptions used. Ask for a before/after comparison when one assumption changes and verify the link is explicit and review-friendly.

Scenario and version management

Why it matters

Scenario and version management prevents mixing iterations when multiple stakeholders review different points in time. It also supports clear documentation of what changed and when.

How to check

Ask to set up two scenarios with a small change and then revisit both after regenerating outputs. Check whether the product preserves versions with timestamps, keeps lineage between inputs and results, and supports side-by-side comparison.

Audit trail and review controls

Why it matters

Audit trail and review controls let you show who changed what across the reserving workflow. That matters for internal governance and for responding to questions during actuarial reviews.

How to check

Request to view an audit trail for a multi-step run that includes input changes and output regeneration. Confirm whether it records author, time, and the specific elements changed, and whether a reviewer view is available.

Red flags

  • Outputs look reviewable but can’t be exported into consistent workpaper-ready structure
  • A re-run partially updates exhibits, creating version drift across results
  • Assumptions and mappings can’t be traced clearly from inputs to a specific exhibit

Fit by situation

  • If your team needs repeatable reserving workpapers across iterations, prioritize Workpaper export format control.
  • If you expect frequent updates to experience and reserving inputs, prioritize Re-run automation for model updates.
  • If multiple reviewers will challenge assumptions and outputs, prioritize Assumption traceability to outputs.
Commissioned Research

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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