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Top 8 Best Speed Motor Design Software of 2026

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Manufacturing Engineering

Top 8 Best Speed Motor Design Software of 2026

Compare speed motor design software options like COMSOL Multiphysics, mapping features and tradeoffs for engineers planning motor development.

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

Agents extract product evidence with provenance, then collect written reviews and transcribe 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

This comparison targets engineers and technical evaluators who need faster iteration cycles for speed motor design, whether the workflow runs through FEM-based electromagnetic solvers, multiphysics AC/DC modeling, or rotating machinery analysis. The tradeoff centers on execution speed and model setup friction versus solver fidelity, where readers can map their rotor, winding, and drive assumptions onto the right simulation workflow before committing engineering time.

FEMM is the best choice for teams iterating 2D motor magnetics with scripted rebuild-and-solve sweeps, because automation lets you run parameter studies quickly and repeatably as geometry and operating points shift, while COMSOL Multiphysics fits groups needing coupled electromagnetic-to-thermal behavior in one study tree.

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

FEMM

Scripting automation supports rebuild-and-solve loops for geometry and operating-point sweeps.

Best for: Fits when 2D electromagnetic iteration needs scripted sweeps for torque estimation gating.

2

COMSOL Multiphysics

Editor pick

Coupled physics workflows let electromagnetic results drive thermal and material-property behavior in one model tree.

Best for: Fits when motor teams need coupled electromagnetic-thermal modeling with repeatable parametric studies and solver control.

3

MotorAnalysis

Editor pick

Variant-to-variant comparison workflow keeps design parameter changes tightly coupled to torque-speed and efficiency results.

Best for: Fits when machine design teams need fast, repeatable variant evaluation with comparable performance outputs.

Comparison Table

1
FEMMBest overall
SMB
9.3/10
Overall
2
8.9/10
Overall
3
vertical specialist
8.8/10
Overall
4
enterprise
8.5/10
Overall
5
vertical specialist
8.1/10
Overall
6
7.8/10
Overall
7
7.5/10
Overall
8
vertical specialist
7.1/10
Overall
#1

FEMM

SMB

Free finite element software for low-frequency electromagnetic analysis used in motors, actuators, and transformers.

9.3/10
Overall
Features9.3/10
Ease of Use9.1/10
Value9.5/10
Standout feature

Scripting automation supports rebuild-and-solve loops for geometry and operating-point sweeps.

FEMM targets engineers who need electromagnetic results quickly for design iteration rather than a full multiphysics stack. The workflow centers on creating a 2D cross-section model, meshing, solving the magnetics problem, and then extracting forces and basic electrical quantities. External control through its scripting interface enables batch runs for geometry variants and parameter sweeps that follow a repeatable pattern. This makes FEMM a strong fit when the design loop depends on hundreds of rapid 2D solves with controlled inputs.

A key tradeoff is that FEMM is built around 2D magnetic field analysis, so effects that depend on full 3D structure or detailed inverter and control switching behavior require other tools. Automation is most effective when geometry can be expressed with repeatable construction steps and when operating points are representable as solver inputs for each run. It works best when early-stage stator-rotor geometry changes drive torque-speed curve shape and when quick magnetics sanity checks gate what moves into more computational simulations.

Pros
  • +Fast 2D magnetics solves for iterative motor geometry changes
  • +Scripting-driven batch runs support repeatable parameter sweeps
  • +Direct force extraction from field solutions without heavy post-processing
  • +Material and boundary condition setup is explicit per model
Cons
  • –2D geometry limits fidelity for 3D leakage and end effects
  • –Automation depends on scripting discipline for consistent geometry builds
  • –Thermal and drive-level switching effects require external coupling
  • –Mesh quality tuning can dominate runtime for tighter gaps
Use scenarios
  • Motor design engineers

    Rapid stator slot and rotor bar iterations

    Faster design shortlist selection

  • Controls validation teams

    Back-EMF trend checks before drive modeling

    Reduced rework in co-simulation

Show 2 more scenarios
  • R&D prototyping groups

    Parameter sweeps for winding placement studies

    Clear sensitivity ranking

    Automates cross-section rebuilds to test winding topology impacts on fields.

  • Production test engineering

    DUT pre-test magnetic anomaly screening

    Earlier detection of risky designs

    Compares modeled magnetic force behavior across candidate build tolerances.

Best for: Fits when 2D electromagnetic iteration needs scripted sweeps for torque estimation gating.

#2

COMSOL Multiphysics

enterprise

General-purpose multiphysics simulation platform with AC/DC and rotating machinery modules.

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

Coupled physics workflows let electromagnetic results drive thermal and material-property behavior in one model tree.

COMSOL Multiphysics fits motor design teams that need tightly coupled electromagnetic and thermal simulation rather than only torque-speed curve postprocessing. It uses a multiphysics workflow with parametric geometry, meshing control, and physics coupling for stator-rotor geometry and material nonlinearities.

The software supports steady-state and transient analysis for motor drive interaction studies, including inverter waveform effects when the right application interfaces are configured. Engineers typically use it for iterative design loops that require solver control and repeatable parameter sweeps across variants.

Pros
  • +Strong multiphysics coupling across electromagnetic and thermal physics interfaces
  • +Parametric geometry and study setup supports repeatable motor design sweeps
  • +Material nonlinearities and saturation handling fit realistic motor modeling
  • +Scalable solver controls help manage convergence during transient sweeps
Cons
  • –Model setup and solver settings require more discipline than CAD-first workflows
  • –Wiring motor drive control specifics needs add-on interfaces and careful configuration
  • –Large 3D motor meshes can drive memory and runtime limits for iterative design
  • –Direct topology-optimization workflows are less turnkey than in dedicated design suites
Use scenarios
  • Motor electromagnetic-thermal teams

    Coupled stator-rotor thermal validation loops

    Field-based design comparisons

  • HVAC and turbomachinery engineers

    Rotating-domain coupled performance checks

    Coupled operating metrics

Show 2 more scenarios
  • Motor drive research engineers

    Inverter interaction transient simulations

    Repeatable study outputs

    Researchers configure drive interaction studies with custom solver settings to evaluate transient motor behavior.

  • Electromagnetics and photonics researchers

    Electromagnetic thermal or electrical coupling

    Mode and resonance predictions

    Teams build coupled field models to predict resonances and thermal or electrical interactions in devices.

Best for: Fits when motor teams need coupled electromagnetic-thermal modeling with repeatable parametric studies and solver control.

#3

MotorAnalysis

vertical specialist

Electric motor analysis and design software supporting induction, synchronous, and BLDC motor types with performance prediction.

8.8/10
Overall
Features8.8/10
Ease of Use8.8/10
Value8.8/10
Standout feature

Variant-to-variant comparison workflow keeps design parameter changes tightly coupled to torque-speed and efficiency results.

For speed motor design, MotorAnalysis supports a tight loop between motor configuration inputs and outputs like torque-speed curve and efficiency map metrics. The workflow is built around creating a repeatable set of design parameters, launching analyses, and comparing results across revisions without manual rework each time. The emphasis on iteration makes it a good fit when design teams must evaluate many variants within a single review cycle.

A key tradeoff is that very advanced multiphysics setups still require careful external preparation, especially when CAD exchange or solver setup details are the deciding factor. MotorAnalysis works best when the team can standardize geometry import and baseline parameter conventions so each run remains comparable. It is also a strong choice for teams that need frequent reporting of performance outputs across design candidates to support design reviews.

Pros
  • +Iteration-oriented workflow links parametric motor changes to updated performance curves
  • +Repeatable project configurations reduce rework across variant runs
  • +Output set is geared toward design decisions using torque-speed and efficiency results
  • +File exchange supports practical motor-CAD integration into existing toolchains
Cons
  • –Deep multiphysics modeling requires disciplined setup and input preparation
  • –Highly customized solver controls can feel less granular than specialized simulation suites
  • –CAD exchange quality can dominate downstream meshing and convergence outcomes
  • –Automation benefits depend on consistent modeling conventions across projects
Use scenarios
  • Motor design engineers

    Rapid torque-speed and efficiency iteration

    Faster design convergence

  • Product development teams

    Performance trade study reporting

    Cleaner review decisions

Show 1 more scenario
  • Controls and test engineers

    Back-EMF and operating envelope checks

    Reduced test reruns

    Use model outputs to assess expected drive behavior across target speed and load points.

Best for: Fits when machine design teams need fast, repeatable variant evaluation with comparable performance outputs.

#4

MAGNET

enterprise

Electromagnetic field simulation software used for virtual prototyping of motors, actuators, sensors, and transformers.

8.5/10
Overall
Features8.5/10
Ease of Use8.5/10
Value8.5/10
Standout feature

Script-driven parametric study execution and repeatable project templates for variant-heavy motor design work.

MAGNET provides a complete loop for electromagnetic FEA on motor cross-sections and assembled models, including mesh generation control, boundary condition setup, and repeatable study definitions. Motor performance outputs can be driven into efficiency map work by combining electromagnetic results with loss and operating-point evaluation used for torque and speed tradeoffs. The integration depth is strongest when teams already standardize CAD-to-mesh inputs and want consistent study automation across a design-of-experiments pipeline.

Pros
  • +Parametric geometry and study templates reduce rebuild time for variant sweeps
  • +2D and 3D electromagnetic FEA workflows support consistent torque and loss evaluation
  • +CAD import and mesh control help keep analysis-ready geometry aligned across iterations
  • +Scriptable runs enable batch optimization and repeatable post-processing
Cons
  • –Best results require disciplined setup of geometry, constraints, and meshing parameters
  • –Mechanical dynamics and bearing vibration analysis require other tools for full coverage
  • –Complex coupled multiphysics workflows add configuration steps and runtime overhead
  • –Large 3D models can increase solver time and memory demands
Use scenarios
  • Motor design engineers

    Tune magnet layouts for torque ripple

    Lower cogging torque targets met

  • Winding and controls teams

    Validate back-EMF and machine constants

    Reduced commissioning iteration cycles

Show 2 more scenarios
  • Simulation technologists

    Standardize CAD-to-mesh electromagnet studies

    More comparable design variants

    Reuse analysis templates to keep mesh and boundary setup consistent across projects.

  • Design optimization groups

    Batch efficiency map studies

    Faster convergence to best designs

    Automate parametric runs and aggregate electromagnetic outputs into efficiency-oriented comparisons.

Best for: Fits when teams need repeatable electromagnetic motor FEA with automated parametric studies.

#5

JMAG

vertical specialist

Electromagnetic field analysis software widely used for electric motor and actuator design.

8.1/10
Overall
Features8.1/10
Ease of Use8.2/10
Value8.0/10
Standout feature

Native JMAG file format keeps geometry-to-simulation state consistent across iterative motor design revisions.

JMAG is a motor speed design software used to model electromagnetic and electromechanical behavior for drives and machines. It is distinct for its workflow around motor-CAD integration and solver-driven analysis that connects motor geometry to performance outputs like torque-speed behavior and losses.

Pros
  • +Strong end-to-end workflow from motor geometry import to torque-speed outputs
  • +Thermal simulation coverage supports heating limits and thermal derating checks
  • +Inverter and control model coupling helps validate drive performance under operating maps
  • +Parametric sweep workflow supports topology and dimension studies with repeatable runs
Cons
  • –Requires careful meshing and solver setup discipline to avoid convergence issues
  • –Complex model setup can slow early iteration compared with lighter workflows
  • –Automation depends heavily on project structuring and consistent model naming
  • –Some cross-tool geometry exchanges need manual cleanup for clean meshing
Use scenarios
  • Electric machine engineers

    Electromagnetic performance comparisons

    Design variant comparisons

  • Product development simulation teams

    DOE sweeps across operating points

    Systematic trade-off ranking

Show 2 more scenarios
  • Motor drive and controls engineers

    Inverter waveform fed drive analysis

    Electromechanical behavior assessment

    Engineers simulate inverter-fed drive conditions to assess electromechanical behavior under realistic drive waveforms.

  • Transformer and reactor engineers

    Loss and temperature rise studies

    Variant verification support

    Teams model cores and windings to study electromagnetic performance, losses, and temperature-related behavior.

Best for: Fits when teams need repeatable electromagnetic plus thermal validation for drive and motor design iterations.

#6

EMWorks

SMB

Electromagnetic and electric machine simulation add-on for SOLIDWORKS and Autodesk Inventor.

7.8/10
Overall
Features7.8/10
Ease of Use7.8/10
Value7.8/10
Standout feature

Inverter and control related operating-point coupling that ties motor electrical behavior to speed-control iterations.

EMWorks turns measured electrical and mechanical inputs into motor design evaluations that feed torque, efficiency, and operating-point checks. It is built around motor topology parameterization, so stator-rotor geometry choices and winding parameters can be varied without re-authoring a full model.

Pros
  • +Topology-focused parameterization for fast iteration across winding and geometry choices
  • +Drive-linked operating-point outputs that reduce handoffs during speed control tuning
  • +Analysis workflow centered on torque-speed and efficiency tradeoffs
  • +Model exchange supports practical use with downstream CAD and simulation tools
Cons
  • –Requires disciplined setup of motor-drive parameter mapping for consistent results
  • –Electromagnetic multiphysics depth is narrower than general-purpose FEA packages
  • –Large design space sweeps can become time-consuming without workflow automation
  • –Less coverage for rotor dynamics and detailed NVH pipelines than dedicated CAE stacks
Use scenarios
  • Motor and electric machine engineers

    Geometry sweep for torque and losses

    Issue-focused design changes

  • Simulation analysts and design teams

    Parametric design evidence packs

    Consistent variant comparisons

Show 2 more scenarios
  • RF and microwave engineers

    Frequency response from geometry variants

    RF performance tuning

    Engineers run CAD-based studies for microwave structures and review frequency response and S-parameters.

  • Actuator and sensor designers

    Sensor field checks under motion

    Refined force and field fit

    Teams iterate actuator geometry and assess sensor or housing fields under different operating conditions.

Best for: Fits when teams iterate motor topology and drive operating points and need repeatable torque-speed and efficiency evaluations.

#7

QuickField

SMB

Low-cost electromagnetic finite element analysis software with motor and actuator modeling support.

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

Integrated parameterized study and batch-solving for motor design-space sweeps, tuned for fast iteration cycles.

QuickField is distinct for fast, scriptable electromagnetic and thermal workflows aimed at early motor-geometry decisions. It supports 2D and 3D problem setup for field solving, then links results to performance outputs such as torque-speed behavior and loss breakdown.

Pros
  • +Automation of parameter sweeps supports high-throughput design iteration
  • +Fast meshing and solve settings reduce time between geometry changes
  • +Loss and torque outputs help compare winding and geometry variants
  • +CAD import workflow supports repeatable motor cross-section iteration
Cons
  • –Advanced multiphysics coupling workflows require careful setup discipline
  • –Complex experimental validation pipelines need external processing steps
  • –Workflow depth for full rotor dynamics and acoustics is limited
  • –Deep controller-model integration for SVPWM or FOC is outside core scope
Use scenarios
  • Electric motor design teams

    Early geometry screening for speed targets

    Promising configuration selection

  • Magnetics and power electronics engineers

    Parameterized winding electromagnetics

    Winding variant evaluation

Show 2 more scenarios
  • Engineering teams standardizing workflows

    Regression-style simulation verification

    More consistent comparisons

    Teams reuse models, materials, boundaries, and parameters to compare revisions or run standardized checks.

  • Thermal and hardware engineers

    Enclosure cooling hotspot mapping

    Hotspot locations identified

    Engineers model temperature rise and airflow-driven thermal behavior to locate hot spots and compare cooling approaches.

Best for: Fits when teams need quick electromagnetic and thermal iteration for motor geometry trades, without heavy add-on toolchains.

#8

EMetor

vertical specialist

Web-based electric motor design platform focused on winding configuration and electromagnetic performance calculation.

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

Winding topology to simulation-ready model generation keeps parametric changes consistent across sweeps.

EMetor focuses on speed motor design workflows that convert motor geometry and electrical requirements into simulation-ready models with fewer manual handoffs. The tool emphasizes parametric iteration, so designers can sweep winding topology and stator-rotor geometry changes while tracking torque-speed curve and loss sensitivities. It also supports exports that fit into common motor-CAD and electromagnetic FEA pipelines used in early concept to pre-analysis stages.

Pros
  • +Parametric sweeps shorten iteration loops for torque-speed curve exploration
  • +Clear model export path into electromagnetic FEA workflows
  • +Winding topology configuration reduces manual geometry reconstruction
  • +Engineering-style constraint inputs for efficiency-focused concept studies
Cons
  • –Geometry exchange relies on CAD-to-mesh steps for detailed multiphysics coupling
  • –Limited visibility into solver convergence diagnostics compared with full FEA suites
Use scenarios
  • Motor designers in early concept

    Simulation-ready model creation from specs

    Fewer manual handoffs

  • Winding topology iteration teams

    Torque-speed and loss sensitivity sweeps

    Repeatable performance trade-offs

Show 1 more scenario
  • Motor-CAD and electromagnetic FEA users

    Export to established analysis pipelines

    Pipeline-ready handoff

    Teams export results into common motor-CAD and electromagnetic FEA workflows for continued iteration.

Best for: Fits when teams need fast concept iteration for speed motors before deeper multiphysics sign-off.

Conclusion

After evaluating 8 speed motor design software, FEMM 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
FEMM

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 Speed Motor Design Software

How does MAGNET compare with FEMM for scripted parametric sweeps in 2D motor studies?
MAGNET executes script-driven parametric study execution with repeatable project templates across stator and rotor variants, so variant runs follow the same study structure each time. FEMM supports rebuild-and-solve loops for 2D electromagnetic parametric sweeps, which suits fast torque estimation gating but limits the workflow to 2D-first modeling choices.
When should an engineering team choose JMAG over ANSYS or Siemens NX for motor speed and drive coupling?
JMAG fits teams that need a native motor-CAD integration and a workflow that keeps geometry-to-simulation state consistent through iterative revisions using the JMAG file format. COMSOL Multiphysics adds coupled physics tree control, while Siemens NX and ANSYS workflows typically require more manual handoff discipline to maintain tight geometry-to-solver consistency across revisions.
Which tools keep variant-to-variant comparisons tightly coupled to torque-speed and efficiency outputs?
MotorAnalysis is built around a workflow that keeps parametric changes tightly coupled to torque-speed and efficiency results for comparable variant evaluation. EMWorks also supports variant-level iteration, but it emphasizes motor topology parameterization and operating-point checks that tie performance outputs back to topology and winding parameters.
What breaks if electromagnetic-only setup is used when thermal derating and drive loss heating dominate motor behavior?
EMWorks can deliver torque-speed and back-EMF analysis tied to design inputs, but it does not replace a coupled thermal validation step when the design is sensitive to heating and insulation class constraints. COMSOL Multiphysics and JMAG cover electromagnetic plus thermal modeling paths, so thermal effects do not get dropped when magnetic saturation and material nonlinearities impact temperature rise.
How do CAD exchange workflows differ between MAGNET and EMetor for moving from concept geometry to analysis-ready models?
MAGNET connects motor-CAD geometry inputs to analysis-ready meshes for solver runs and post-processing using CAD exchange workflows and consistent parametric geometry changes. EMetor emphasizes converting motor geometry and winding topology into simulation-ready models with fewer manual handoffs, so the swap from concept to pre-analysis stages stays more automated.
What integration and automation gaps appear when teams require API-level orchestration across tools?
MAGNET automation relies on scripts and project templates for repeatable study execution, which supports internal automation but may not provide the same external orchestration surface as a general-purpose engineering platform. FEMM automation also supports external scripting for sweeps, while MotorAnalysis and EMetor emphasize file-based exchange and repeatable project configurations that are easier to reuse inside a defined toolchain.
How does EMetor handle winding topology changes compared with EMWorks topology parameterization?
EMetor focuses on winding topology to simulation-ready model generation with parametric iteration that tracks torque-speed curve and loss sensitivities across sweeps. EMWorks treats topology parameterization as a core modeling axis so stator-rotor geometry and winding parameters can vary without re-authoring a full model, which keeps design iteration focused on topology-driven checks.
Where does COMSOL Multiphysics fall short versus JMAG when the workflow needs drive and inverter modeling in the same iteration loop?
COMSOL Multiphysics supports steady-state and transient studies and coupled electromagnetic-thermal behavior in one model tree, but drive and inverter coupling depends on application interfaces and physics setup configured for the interaction model. JMAG targets motor and drive and inverter modeling as part of the workflow so drive strategy evaluation and torque-speed behavior stay connected inside the same design iteration path.
How do admin controls and RBAC expectations differ between desktop-focused tools and a team-based workflow using project templates?
MAGNET’s repeatable project templates and script-driven execution are geared toward consistent team workflows on shared project structures, which reduces variation between analysts. JMAG’s native file-format continuity helps teams keep state consistent across revisions, while file-exchange centric workflows in MotorAnalysis and EMWorks require stronger governance around which project configurations and exported models are treated as the source of truth.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Speed Motor Design Software

We see speed motor design software differ most in whether they let you run a complete workflow without babysitting results. Look at integration depth, so updates, automation, and model handoffs stay consistent from geometry to design iteration under speed-focused constraints.

Workflow automation for design iterations

Why it matters

Speed motor design work often loops quickly between changes and checks. Workflow automation for design iterations reduces turnaround time and avoids losing settings between runs.

How to check

In a demo, load a sample project and change one motor requirement (like target speed or pole count), then run the same pipeline end-to-end. Ask whether it can queue multiple parameter runs and keep outputs organized without manual re-entry.

Geometry and CAD exchange reliability

Why it matters

If geometry exchange is flaky, you spend time fixing broken handoffs instead of designing for speed. Geometry and CAD exchange reliability matters for fast iterations and repeatable comparisons.

How to check

Try importing a simple CAD file workflow and confirm the software keeps surfaces, units, and key references for the motor cross-section. Then export the updated geometry or model back out (or generate a report artifact) and verify the same key dimensions carry through.

Parameter sweeps and controlled variants

Why it matters

Speed-focused design depends on exploring variants without losing traceability. Parameter sweeps and controlled variants help you compare like-for-like cases when you adjust constraints or winding/structure assumptions.

How to check

Run a sweep over a small set of inputs (for example, slot dimensions or target speed) and check whether each run records its inputs. Confirm you can restrict what changes, so you don’t accidentally vary unrelated settings.

Validation outputs you can reproduce

Why it matters

You need results that match what engineers can review and re-run later. Validation outputs you can reproduce reduces the risk that findings are tied to one-off settings.

How to check

Generate a report that includes the key computed outputs used in design decisions and export it as a file. Ask whether you can rerun the exact case from a saved configuration and get the same outputs within expected tolerances.

Results search and comparison across runs

Why it matters

Speed motor design decisions hinge on comparing many candidate outputs. Results search and comparison across runs matters when you need to identify trade-offs quickly and defend choices.

How to check

After a small sweep, use the UI to rank or filter runs by a chosen performance metric and inspect plots or tables side-by-side. Confirm you can open the same comparison later and see which inputs produced each result.

Admin controls and audit trails

Why it matters

When multiple engineers iterate quickly, you need control over what changed and who approved. Admin controls and audit trails help maintain traceability across iterations for speed motor projects.

How to check

In admin or role settings, check whether you can set permissions for project editing and exporting. If available, verify there is an audit log of who changed configurations and when, not just file timestamps.

Red flags

  • Runs require manual re-entry of settings between iterations
  • Imported geometry changes units or breaks key references
  • You cannot rerun or compare results from a saved configuration

Fit by situation

  • If you iterate daily with many candidates, prioritize Workflow automation for design iterations.
  • If your team depends on repeating CAD handoffs, prioritize Geometry and CAD exchange reliability.
  • If multiple engineers reuse the same project configurations, prioritize Admin controls and audit trails.
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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