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Top 10 Best Air Handling Unit Software of 2026

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Facilities Property Services

Top 10 Best Air Handling Unit Software of 2026

Compare air handling unit software tools and shortlist options for HVAC teams, using selection tools like Trox Product Selection and GEA Selection Tool.

20 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

Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.

Read our full methodology →

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

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

Air handling unit software tools shape how teams translate project requirements into ventilation configurations, then verify performance through design and simulation workflows. This comparison helps operators and technical evaluators weigh automation depth, data-model fit, and integration paths when moving between CAST MEP, Trace 3D Plus, and Carrier HAP.

Trox Product Selection is the best overall choice for AHU design teams working inside the Trox catalog, because it generates selection worksheets and submittal documentation directly from the configured Trox component set, cutting transcription and alignment issues, whereas GEA Selection Tool fits teams needing GEA-specific handoff-ready outputs aligned to GEA equipment families.

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

Trox Product Selection

Selection worksheets and documentation are generated directly from the configured Trox AHU component set.

Best for: Fits when AHU design teams need repeatable Trox equipment selection and consistent documentation artifacts.

2

GEA Selection Tool

Editor pick

GEA-specific selection workflow that produces structured, handoff-ready AHU selection results aligned to GEA equipment families.

Best for: Fits when mechanical teams need fast, GEA-specific AHU selections with documentation outputs for engineering handoff.

3

Rosenberg Product Selection

Editor pick

Constraint-aware Rosenberg equipment selection that keeps compatible options aligned from build-up to exported documentation artifacts.

Best for: Fits when AHU design teams need disciplined Rosenberg component selection before simulation.

Comparison Table

1
vertical specialist
9.5/10
Overall
2
vertical specialist
8.9/10
Overall
3
vertical specialist
8.6/10
Overall
4
8.3/10
Overall
5
vertical specialist
8.0/10
Overall
6
vertical specialist
7.7/10
Overall
7
vertical specialist
7.5/10
Overall
8
vertical specialist
7.1/10
Overall
9
vertical specialist
6.8/10
Overall
10
vertical specialist
6.6/10
Overall
#1

Trox Product Selection

vertical specialist

Selection software for Trox air handling and ventilation products.

9.5/10
Overall
Features9.5/10
Ease of Use9.5/10
Value9.5/10
Standout feature

Selection worksheets and documentation are generated directly from the configured Trox AHU component set.

Trox Product Selection supports structured product configuration and generates selection documents that can be reused during AHU design and submittal cycles. The workflow is centered on component-level inputs like airflow, pressure requirements, and application parameters, then produces exportable outputs for specification and coordination. It fits teams that spend time converting manual catalog choices into repeatable selection records.

A key tradeoff is that it is not a full control engineering environment for AHU controller programming or sequence authoring. Selection results still require handoff into the site’s control design tools for point mapping, control sequence editor work, and controller download. It works well when AHU design teams need fast, consistent Trox equipment documentation tied to the current configuration.

Pros
  • +Configuration-led selection output reduces manual transcription errors
  • +Selection worksheets and submittal documents stay aligned to Trox catalog data
  • +Exportable documentation supports repeatable project handoffs
  • +Catalog-based parameter entry speeds iteration during design reviews
Cons
  • –Limited coverage for AHU controller programming and control logic authoring
  • –Handoffs still need external tools for I/O point mapping and sequence integration
Use scenarios
  • MEP designers

    Rapid Trox component sizing iterations

    Fewer rework cycles for submittals

  • Specification writers

    Consistent Trox product callouts

    Cleaner spec package delivery

Show 1 more scenario
  • Design coordinators

    AHU design handoff preparation

    Faster multidisciplinary review turnarounds

    Exports selection documentation to support coordination with downstream control and commissioning teams.

Best for: Fits when AHU design teams need repeatable Trox equipment selection and consistent documentation artifacts.

#2

GEA Selection Tool

vertical specialist

Product selection and configuration tool for GEA air handling units.

8.9/10
Overall
Features8.9/10
Ease of Use8.9/10
Value8.9/10
Standout feature

GEA-specific selection workflow that produces structured, handoff-ready AHU selection results aligned to GEA equipment families.

GEA Selection Tool fits mechanical design teams that need repeatable AHU selections tied to GEA product options and documentation outputs. It centers on turning specified requirements into selectable AHU configurations that match GEA equipment families rather than acting as a universal AHU modeling environment.

The tool’s value is strongest when handoffs depend on selection artifacts that remain consistent across iterations. It is less suited to controller programming workflows that require BACnet object mapping, controller downloads, or closed-loop control simulation.

Pros
  • +Manufacturer-driven configuration flow that stays consistent with GEA AHU families
  • +Selection outputs are geared toward engineering handoff instead of generic calculators
  • +Works well when project teams want fewer manual steps from sizing to documents
  • +Document generation supports repeatable selection runs for similar projects
Cons
  • –Automation depth for controller-level programming is limited
  • –Integration surfaces for external model tools are not positioned for deep bidirectional sync
  • –Networked control point mapping and controller download workflows are not its focus
  • –Controller firmware flashing support is not part of the typical selection workflow
Use scenarios
  • Mechanical design teams

    GEA AHU options from requirements

    Repeatable selection packages

  • Specification writers

    Consistent submittal-ready configuration outputs

    Lower rework on revisions

Show 1 more scenario
  • HVAC project coordinators

    Version control for selection iterations

    Faster iteration cycles

    Keeps selection artifacts consistent across iterations so downstream teams can compare variants efficiently.

Best for: Fits when mechanical teams need fast, GEA-specific AHU selections with documentation outputs for engineering handoff.

#3

Rosenberg Product Selection

vertical specialist

Configuration tool for Rosenberg ventilation and air handling unit products.

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

Constraint-aware Rosenberg equipment selection that keeps compatible options aligned from build-up to exported documentation artifacts.

Rosenberg Product Selection is used to build a bill of materials style configuration from Rosenberg product options, including constraints that keep compatible component combinations aligned. Engineers typically use it to generate selection results that can be carried into design packages, so mechanical choices remain consistent across disciplines. The workflow fits teams that treat product selection as a controlled step before simulation, sizing, and control sequence drafting.

A tradeoff is that it focuses on Rosenberg product selection rather than acting as a full AHU control logic editor or controller programming environment. It is best used when controller design work already happens in separate tools, and the selection output must feed documentation and I/O mapping preparation. When projects require controller program download planning or network discovery scans, those tasks still need other software steps.

Pros
  • +Constraint-driven component selection reduces incompatible combinations
  • +Selection outputs support consistent mechanical parameters into design packages
  • +Workflow supports repeatable configuration across multiple AHU projects
  • +Clear separation between selection and later control engineering steps
Cons
  • –Limited direct coverage of controller programming and control sequence editing
  • –Integration depends on documentation handoff quality between tools
Use scenarios
  • Mechanical engineering teams

    Rosenberg AHU partset configuration

    Fewer configuration rework cycles

  • Specification and presales teams

    Standardizing customer bill of materials

    More consistent proposals

Show 1 more scenario
  • Multi-discipline design teams

    Handoff to simulation and control design

    Lower transcription error rate

    Export selection results to reduce manual parameter copying across engineering steps.

Best for: Fits when AHU design teams need disciplined Rosenberg component selection before simulation.

#4

FläktGroup Product Selection Tool

vertical specialist

Web-based selection and configuration software for FläktGroup air handling units and fans.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

Equipment family constraint logic that prevents incompatible AHU option pairings during configuration selection.

FläktGroup Product Selection Tool is designed to connect AHU product selection inputs to downstream configuration needs, with outputs aligned to FläktGroup equipment families. It focuses on parameter-driven sizing and option selection that support consistent coil, fan, casing, and accessory configurations across projects.

Pros
  • +Selection workflow produces consistent, FläktGroup-aligned AHU configurations
  • +Parameter-based option picking reduces rework during equipment specification cycles
  • +Output package supports repeatable handoffs to downstream design and drafting steps
  • +Equipment family constraints prevent invalid combinations during selection
Cons
  • –Limited support for AHU controller programming and control sequence editing
  • –Minimal coverage of controller object property mapping for BACnet and Modbus
  • –Less automation surface for enterprise provisioning and batch project generation
  • –Requires close alignment with FläktGroup equipment scope to realize full value
Use scenarios
  • AHU configuration engineers

    Standardized FläktGroup component selections

    Consistent equipment builds

  • Controls engineering teams

    Selection-to-controls handoff support

    Reduced manual configuration

Show 1 more scenario
  • Project design leads

    Variant comparisons across schedules

    Clear basis for variants

    Repeats sizing and option selections to compare assumptions across projects while keeping outputs aligned to one family basis.

Best for: Fits when AHU teams need fast, standardized selection outputs for FläktGroup equipment handoffs.

#5

Daikin Product Selection

vertical specialist

Online selection tool for Daikin ventilation and air handling products.

8.0/10
Overall
Features8.0/10
Ease of Use8.0/10
Value8.0/10
Standout feature

Catalog constraint logic ensures selected AHU configurations stay consistent with available Daikin equipment options.

Daikin Product Selection centers on selecting AHU configurations from Daikin catalog content, with constrained choices that match available equipment variants. It generates a structured set of selection results that can be carried into design documentation for airside systems. Control strategy definition is not the core focus, so controller programming tasks require separate control authoring tools.

Pros
  • +Catalog-driven selections reduce invalid AHU configuration combinations
  • +Structured selection outputs support repeatable documentation workflows
  • +Option constraints match available Daikin equipment variants
  • +Clear handoff points between equipment selection and later control work
Cons
  • –Limited controller program generation for AHU sequences and PID tuning
  • –External integrations rely on exports rather than deep API control
  • –Network commissioning workflows are not modeled inside the selection flow
  • –Point database import and object mapping are not designed as primary workflows
Use scenarios
  • Mechanical design engineers

    Configure Daikin AHUs for early design

    Fewer configuration change cycles

  • Technical writers and submittals

    Generate submittal-ready selection packages

    Faster submittal compilation

Show 1 more scenario
  • Project managers

    Standardize equipment configuration across projects

    More consistent procurement specs

    Uses repeatable selection paths to keep options aligned with internal standards.

Best for: Fits when teams need repeatable Daikin AHU configuration outputs before control engineering handoff.

#6

Robatherm Selection Tool

vertical specialist

Configuration software for Robatherm air handling units.

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

Manufacturer-aligned selection logic that maintains option consistency from configuration inputs to selection-ready result sets.

Robatherm Selection Tool supports air handling unit selection workflows by turning manufacturer configuration inputs into an output package used by downstream engineering tasks. Core capabilities focus on sizing logic, component configuration, and selection-ready results that reflect chosen AHU options and performance criteria.

Pros
  • +Selection workflow turns AHU configuration choices into engineering-ready outputs
  • +Consistent handling of manufacturer-specific options reduces rework between drafts
  • +Fast iteration supports quick scenario runs during early design
  • +Clear output packaging helps handoff from design to project documentation
Cons
  • –Integration into external controls engineering typically requires export handoffs
  • –Cross-vendor AHU comparisons are limited by Robatherm-focused inputs and logic
  • –External network-level controller mapping is not part of the selection workflow
  • –Advanced automation via API is not a first-class surfaced capability in the workflow
Use scenarios
  • Mechanical project engineers

    Repeatable Robatherm AHU selections

    Fewer selection inconsistencies

  • Procurement teams

    Output package for ordering scopes

    Clear equipment scope

Show 1 more scenario
  • Engineering support staff

    Regenerate variants from stored settings

    Quicker redesign turnovers

    Produces consistent configuration outputs so teams can regenerate project variants without rebuilding inputs.

Best for: Fits when engineering teams need fast, repeatable Robatherm AHU selections with consistent outputs before control programming.

#7

Airia Selection Tool

vertical specialist

Selection and configuration tool for Airia fan and air handling products.

7.5/10
Overall
Features7.5/10
Ease of Use7.4/10
Value7.6/10
Standout feature

Selection-result configuration validation that checks input combinations for internal consistency before finalizing output.

Airia Selection Tool is designed for AHU selection workflows that depend on fast configuration and repeatable schedules of performance outputs. It focuses on sizing inputs, airflow and acoustic outputs, and configuration checks that support consistent selection across repeat projects.

Pros
  • +Selection workflow keeps input choices consistent across repeat projects
  • +Acoustics and performance outputs align with typical AHU submittal needs
  • +Configuration validation reduces common selection input mistakes
  • +Export-oriented results support handoff into project documentation
Cons
  • –Controller programming support is not the primary workflow emphasis
  • –Advanced control sequence editing and point-level mapping feel limited
  • –Scenario automation depends on manual re-entry rather than full API control
  • –Less suitable for controller firmware flashing and network commissioning tasks
Use scenarios
  • Mechanical designers

    Fast AHU schedules generation

    Consistent selection outputs

  • Acoustics-focused teams

    Compare noise assumptions

    Faster acoustic tradeoffs

Show 1 more scenario
  • Documentation specialists

    Carry selection results into docs

    Less manual translation

    Produces selection outputs intended for downstream documentation without requiring deep controller programming steps.

Best for: Fits when engineering teams need repeatable AHU selection outputs with minimal controller authoring effort.

#8

Wolf Selection Software

vertical specialist

Selection tool for Wolf ventilation and air handling unit products.

7.1/10
Overall
Features7.1/10
Ease of Use7.0/10
Value7.2/10
Standout feature

Wolf-component configuration management that maintains option dependencies for AHU selection and project documentation.

Wolf Selection Software from wolf.eu is tailored to Wolf air handling workflows, with configuration centered on Wolf AHU and control components rather than generic system templating. The tool focuses on selecting and configuring AHU equipment and producing engineering outputs from that configuration.

Pros
  • +Wolf-specific selection flows keep AHU configuration aligned with Wolf components
  • +Engineering outputs reduce manual copying between selection steps and documentation
  • +Project structures support repeat work across similar AHU configurations
  • +Clear configuration dependencies help avoid inconsistent option combinations
Cons
  • –Control programming workflows stay limited for non-Wolf controller ecosystems
  • –API and automation surface are thin compared with AHU platforms offering scripting
  • –Advanced simulation and control-sequence authoring are not a primary focus
  • –Network and point integration depth is constrained outside Wolf-centric layouts
Use scenarios
  • AHU engineering teams

    Wolf-specific configuration setup

    Fewer configuration gaps

  • Submittal coordinators

    Generate documentation-style deliverables

    Quicker submittal packages

Show 1 more scenario
  • Project managers

    Maintain end-to-end Wolf consistency

    Lower end-to-end mismatch

    Keeps Wolf-specific configuration consistent across stages that would otherwise require repeated interpretation.

Best for: Fits when Wolf-centric AHU projects need consistent configuration and documentation without deep control-program automation.

#9

Menerga Selection Program

vertical specialist

Configuration tool for Menerga air handling units.

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

Selection-driven regeneration of AHU variants keeps configuration settings stable across iterative design cycles.

Menerga Selection Program is an AHU engineering workflow tool focused on selecting and configuring air handling unit components with design-ready outputs for downstream controls work. It centers on repeatable configuration of typical AHU arrangements, including fans, coils, dampers, and airflow paths, so project variants can be regenerated without rebuilding inputs from scratch.

Pros
  • +Repeatable AHU arrangement configuration reduces rework across redesign iterations
  • +Structured inputs keep component selections consistent from schedule to submittal
  • +Selection outputs map cleanly to typical control engineering handoff needs
  • +Workflow supports regeneration of project variants without manual re-entry
Cons
  • –Limited visibility into controller-program logic compared with code-first tools
  • –Automation surface for network discovery and point mapping is not a primary focus
  • –Complex sequences require manual coordination outside the selection workflow
  • –Extensibility for nonstandard AHU assemblies is constrained
Use scenarios
  • Controls-oriented design teams

    Selection to control-ready handoff

    Cleaner controls handoff

  • Mechanical designers

    Regenerate typical AHU arrangements

    Faster variant creation

Show 1 more scenario
  • Engineering leads

    Consistent settings across redesigns

    More predictable redesigns

    Maintains structured configuration storage so redesign cycles reuse the same component assumptions.

Best for: Fits when mechanical engineers need consistent AHU configuration and selection outputs for controls handoff without controller programming depth.

#10

Smardt Selection Tool

vertical specialist

Selection software for Smardt oil-free centrifugal chiller and AHU systems.

6.6/10
Overall
Features6.6/10
Ease of Use6.6/10
Value6.6/10
Standout feature

Selection-first workflow that maps Smardt AHU component options into selection outputs built for document reuse.

Smardt Selection Tool generates AHU selections using Smardt product data and selection criteria, then produces sizing outputs that feed downstream project documents. It focuses on selection workflows for standard air handling configurations such as fans, coils, and control-relevant options, rather than a full controller programming environment.

Pros
  • +Fast variant comparisons using consistent selection inputs and outputs
  • +Strong coverage of Smardt AHU component option sets for real projects
  • +Exportable selection outputs support specification-ready documentation
  • +Repeatable baselines reduce re-entry when reselecting revisions
Cons
  • –Limited depth for custom control sequence authoring beyond selection context
  • –Integration relies on manual transfer for many non-Smardt controller workflows
Use scenarios
  • HVAC selection engineers

    Smardt fan and coil baseline sizing

    Comparable baselines

  • Specification and document teams

    Selection outputs for project documents

    Less document rework

Show 1 more scenario
  • Design-to-spec coordinators

    Transfer configuration to specifications

    Reduced data re-entry

    Supports configuration transfer to minimize manual re-entry when moving from selection to specification.

Best for: Fits when engineers need fast AHU sizing and variant comparison for Smardt-heavy specs.

Conclusion

After evaluating 10 air handling unit software, Trox Product Selection 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
Trox Product Selection

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 Air Handling Unit Software

How do Rosenberg Product Selection and Trox Product Selection differ in how selection outputs support control and documentation handoff?
Rosenberg Product Selection ties its selection logic to Rosenberg partsets and exports configuration artifacts built for downstream engineering re-use. Trox Product Selection generates selection worksheets and submittal-ready documentation directly from the configured Trox AHU component set, which reduces transcription work between selection and spec steps.
Which tool is better for teams that need manufacturer catalog constraints during AHU configuration, not controller program authoring?
Daikin Product Selection keeps selected options consistent with Daikin equipment availability by using catalog constraint logic in the configuration workflow. FläktGroup Product Selection Tool provides similar family constraint behavior for FläktGroup components, while it covers less direct control sequence editing and on-controller object property mapping than controller-authoring tools.
When a project requires regenerating AHU variants without rebuilding inputs, how does Menerga Selection Program handle repeatability?
Menerga Selection Program stores structured configuration settings so typical AHU arrangements can be regenerated as project variants change. It focuses on selection-to-handoff consistency for fans, coils, dampers, and airflow paths, which helps keep redesign cycles aligned.
How does Wolf Selection Software manage configuration consistency for Wolf-centric AHU projects?
Wolf Selection Software centers configuration around Wolf AHU and control components so option dependencies remain consistent from selection through documentation deliverables. This focus reduces manual re-translation when teams keep Wolf-specific component selections as the project baseline.
Where does Airia Selection Tool fall short compared with controller-focused workflows for damper actuator control and setpoint scheduling?
Airia Selection Tool emphasizes repeatable selection outputs and internal consistency checks for airflow and acoustic performance inputs. It does not target deep controller programming workflows, so it is weaker for specifying schedule calendar sync, setpoint scheduling logic, or object property mapping on controllers.
What tradeoff appears when using FläktGroup Product Selection Tool instead of a controller program authoring environment for AHU control logic?
FläktGroup Product Selection Tool provides parameter-driven equipment configuration handoff artifacts for FläktGroup families, but it offers less direct coverage for control sequence editing and on-controller object property mapping. Teams that need detailed AHU controller program work must handle that step outside the selection workflow.
Which workflow fits best for engineers who need fast selection and variant comparison for Smardt-heavy specs?
Smardt Selection Tool is designed for Smardt product data-based sizing and variant comparison across rooms and schedules. It also supports configuration transfer so engineers can move from selection to specification with less manual re-entry than starting from scratch.
How do Robatherm Selection Tool and GEA Selection Tool differ in the kind of downstream engineering package they generate from selection inputs?
Robatherm Selection Tool produces selection-ready result sets aligned to Robatherm configuration handling, with downstream controller programming steps typically occurring outside its selection workflow. GEA Selection Tool generates structured, handoff-ready selections and documentation outputs aligned to GEA product families, which reduces manual transcription between selection and later documentation tasks.
What data migration issues commonly appear when moving from selection outputs to documentation across tools like Rosenberg Product Selection and GEA Selection Tool?
Rosenberg Product Selection export artifacts are geared toward keeping Rosenberg-specific parameters aligned from build-up to exported documentation artifacts, which reduces mismatched assumptions during migration. GEA Selection Tool outputs are designed as structured handoff-ready selection results, so teams still need to validate that their documentation objects match the exported structure when importing into downstream systems.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Air Handling Unit Software

We use air handling unit software to compare how much control you get over points, control logic, and operations workflows. The biggest separator is integration depth, especially API and configuration coverage, plus governance features like RBAC and audit log.

API coverage for AHU automation

Why it matters

API coverage for AHU automation affects whether we can drive schedules, setpoints, and status from other systems without manual screen work. It also determines how much automation stays consistent across sites.

How to check

Ask for a sample API call set that reads live AHU status and writes a setpoint for a specific unit. Confirm there’s documentation for endpoints or functions and that they work for both simulation and live equipment views.

Data model that matches AHU points

Why it matters

A data model that matches AHU points matters because mismatches force constant mapping or workarounds. When the model aligns with real AHU signals, configuration and trending become less error-prone.

How to check

During a demo, pick one AHU and ask to configure key signals (fan status, damper position, heating/cooling valve or coil command, temperature, and airflow where available). Then check whether the fields appear with clear units, naming, and persistence across restarts.

Provisioning workflow for new units

Why it matters

Provisioning workflow for new units affects how quickly we roll out another AHU without redoing setup. Good configuration patterns reduce mistakes when units are added or renamed.

How to check

Request a walkthrough that adds a new AHU from scratch: create the unit, connect point groups, and assign control-related parameters. Confirm what the system can import or template, and verify you can reproduce the same configuration reliably.

RBAC and audit log for changes

Why it matters

RBAC and audit log for changes lets us separate day-to-day operators from configuration changes. It also supports traceability when setpoints or sequences change during operations.

How to check

Ask to view role permissions for at least two roles (operator vs. config). Then change a setpoint or schedule and verify the audit trail records who changed what and when.

Fault and alarm handling workflow

Why it matters

Fault and alarm handling workflow matters because AHU downtime often starts with a clear fault signal and a correct response path. A practical workflow helps teams triage quickly and avoid repetitive manual checks.

How to check

Trigger or review a simulated fault and follow the workflow from detection to acknowledgement to closure. Check whether the system groups related alarms and shows recommended context like affected unit and current values.

Extensibility without breaking updates

Why it matters

Extensibility without breaking updates matters when we need site-specific logic or reports. If customization is fragile, upgrades can force downtime or rework.

How to check

Ask how custom dashboards, reports, or rule-like behaviors are packaged. Confirm what survives upgrades by checking release notes or a demo scenario where an update occurs with custom items intact.

Red flags

  • We can’t programmatically read and write core AHU values through an API.
  • The system’s point naming and units don’t match how we track AHU signals.
  • Audit logs are incomplete or don’t clearly tie changes to a user and an action.

Fit by situation

  • If we need to connect AHU status and setpoints to other systems, prioritize API coverage for AHU automation.
  • If we’re rolling out many units with consistent signals, prioritize provisioning workflow for new units.
  • If multiple teams touch configurations, prioritize RBAC and audit log for changes.
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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