GITNUXSOFTWARE ADVICE
Aerospace DefenseTop 10 Best Rov Software of 2026
Compare rov software options and how they fit teams running remote inspection and mapping workflows, including SeeByte and EIVA.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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SeeByte is the best pick for subsea teams that need a coordinated operator workflow and synchronized evidence capture because it unifies operator actions by tying telemetry-driven overlays to mission logging for the same dive, while QGroundControl fits ArduPilot or PX4 teams that want repeatable waypoint missions with replay-friendly telemetry logging.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
SeeByte
Unified operator workflow that ties telemetry-driven overlays to mission logging for the same dive.
Best for: Fits when subsea teams need a coordinated operator workflow and synchronized evidence capture.
EIVA
Editor pickTimecode-aligned recording that ties live operator video to telemetry and dive metadata for inspection-class post-analysis.
Best for: Fits when teams need a configurable ROV pilot interface that keeps video and telemetry correlated across repeated dives.
QGroundControl
Editor pickIntegrated waypoint-style mission planning and telemetry replay that stays consistent across connected autopilots.
Best for: Fits when teams standardize on ArduPilot or PX4 and need repeatable missions plus telemetry logging.
Comparison Table
SeeByte
enterpriseAutonomous underwater vehicle software including SeeTrack for ROV and AUV mission planning.
Unified operator workflow that ties telemetry-driven overlays to mission logging for the same dive.
SeeByte fits ROV deployment groups that need consistent station-keeping control surfaces, disciplined telemetry handling, and a defined observation-to-log lifecycle. The software focus is on end-to-end operator workflow from pilot UI and vehicle state monitoring to structured capture for later review, rather than on only viewing one data stream. Integration depth is strongest when third-party telemetry, video, and mission metadata must be synchronized for the same run.
A tradeoff appears in implementation effort because integrations and workflow configuration require clear signal mappings and station behavior decisions before operations can run without friction. SeeByte works well for inspection-class deployments where camera tilt presets, manipulator command feedback, and survey logging must follow a repeatable sequence.
- +Telemetry and video synchronization support for consistent operator review and logs
- +Mission workflow configuration aligns pilot actions with repeatable capture outputs
- –Signal mapping and station configuration require upfront engineering time
- –Advanced integrations may depend on the available data formats and adapters
ROV operations teams
Run inspection-class missions with synchronized capture
Less rework in post-dive review
Survey and data teams
Record ROV survey runs with consistent metadata
Cleaner datasets for downstream QA
Show 1 more scenario
System integrators
Integrate sensor and control feeds into stations
Fewer custom UI rewrites
Integration points support bringing in external streams so station UI reflects vehicle and payload state.
Best for: Fits when subsea teams need a coordinated operator workflow and synchronized evidence capture.
EIVA
enterpriseUnderwater survey and construction software suite including ROV navigation and data processing.
Timecode-aligned recording that ties live operator video to telemetry and dive metadata for inspection-class post-analysis.
EIVA provides an ROV pilot interface focused on subsea operations control, mission workflows, and live video and telemetry presentation. It supports camera and sensor integration with timecode-aligned recording so operators can correlate what they see with tether and navigation telemetry.
EIVA also emphasizes operational automation through configurable control panels and procedures rather than ad hoc operator tooling. For teams running repeated inspection-class deployments, it provides workflow consistency from dive planning through ROV survey data logging.
- +Video timecode sync supports operator and post-dive correlation
- +Mission workflow configuration reduces repetitive setup during ROV survey runs
- +Live telemetry integration supports tether and navigation monitoring in one UI
- +Operational procedures are repeatable across inspection-class deployments
- –Advanced station-automation features depend on careful integration planning
- –Complex kinematics and overlay logic can require specialist configuration
Subsea inspection operations teams
Run repeatable survey missions with trace logging
Consistent survey records
ROV pilot supervisors
Standardize control panels for field crews
Lower pilot variance
Show 1 more scenario
Systems engineering teams
Correlate camera feeds with navigation telemetry
Faster incident analysis
Time-aligned recording supports reviewing what the camera saw alongside tether and navigation parameters.
Best for: Fits when teams need a configurable ROV pilot interface that keeps video and telemetry correlated across repeated dives.
QGroundControl
open sourceOpen source ground control station supporting ArduSub-based ROVs and other autonomous vehicles.
Integrated waypoint-style mission planning and telemetry replay that stays consistent across connected autopilots.
QGroundControl runs as a ground-station application that can connect to unmanned vehicle autopilots and then expose telemetry, parameters, and mission execution in a single operator view. Operators can plan missions with waypoint logic, execute them with status feedback, and record telemetry logs for post-run analysis. Configuration and control depend heavily on the connected autopilot and its parameter set, which keeps the app generic while shifting vehicle specificity to the control stack. Logging and playback support turn live ROV observation into reviewable datasets, which matters for inspection evidence handling.
A tradeoff is that ROV-specific hardware integration, such as manipulator arm kinematics or specialized sensor streaming, usually requires additional work in the vehicle stack and MAVLink message mapping rather than a ready-made ROV module. QGroundControl fits best when an ROV team already uses ArduPilot or PX4 for autopilot behavior and wants one consistent ground-station for tethered missions and repeatable data capture.
- +Mission planning and execution tied to common autopilot stacks
- +Telemetry logging with replay-friendly workflow for inspection review
- +Parameter-driven configuration supports many vehicle variants
- +Video integration paths support synchronized operator views
- –ROV-specific functions often need MAVLink message mapping work
- –Operator setup can feel autopilot-centric rather than ROV-centric
- –Some UI elements require careful vehicle-side configuration
- –Advanced tether telemetry visualization depends on available messages
ROV operations teams
Repeatable waypoint inspection runs
Faster post-run inspection review
Controls engineers
Vehicle parameter tuning workflow
More predictable control behavior
Show 2 more scenarios
Mission planners
Unified operator mission interface
Consistent mission execution
Planners build and run missions while tracking vehicle state in one cockpit view.
Systems integrators
MAVLink-based sensor and control wiring
Lower integration duplication
Integrators map vehicle sensors and commands through the autopilot messaging layer.
Best for: Fits when teams standardize on ArduPilot or PX4 and need repeatable missions plus telemetry logging.
ArduSub
open sourceOpen source ROV control firmware and software stack based on the ArduPilot project.
Station-keeping autopilot behavior driven by standard ROV sensor inputs and vehicle-actuator mappings.
ArduSub is an open-source ROV pilot software stack that focuses on vehicle control and mission behavior rather than a full industrial IoT dashboard. It provides station-keeping autopilot functions, depth and heading control loops, and vehicle interface layers for common ROV sensors.
- +Configurable autopilot control loops for depth and heading hold behavior
- +Deterministic vehicle control focus with well-defined sensor-to-actuator pathways
- +Telemetry outputs support downstream recording and external visualization workflows
- +Extensive community documentation for common ROV integration patterns
- –Requires careful tuning of control loops and sensor calibration during commissioning
- –Limited built-in HMI coverage for complex mission review and annotation
- –Advanced integrations depend on external tooling for logging, mapping, and reporting
- –Hardware interface choices can constrain higher-level workflow automation
Research ROV developers
Prototype new station-keeping behaviors
Reusable control foundation
University robotics labs
Reuse configuration across multiple vehicles
Fewer setup changes
Show 1 more scenario
Integration engineers
Feed telemetry into external visualization tools
Straightforward data export
Generated telemetry fits logging and visualization workflows without requiring an all-in-one industrial dashboard.
Best for: Fits when ROV teams need a configurable autopilot core with telemetry for external tooling and repeatable vehicle control.
Teledyne Marine
enterpriseUnderwater vehicle software including Teledyne PDS for ROV positioning and subsea data acquisition.
Mission recording that couples operator session context with time-synced sensor and video metadata for later correlation.
Teledyne Marine is distinct for pairing vehicle control workflows with recording behavior rather than treating video capture as an add-on. Telemetry capture and session logging are designed around operator operations so camera and sensor streams stay usable during and after a run. The system also supports equipment-focused telemetry surfaces that help teams diagnose faults while the pilot interface remains responsive to live control inputs.
- +Time-aligned session recording for video and mission telemetry
- +Operator-first control surfaces for subsea vehicle workflows
- +Fault-relevant equipment status surfaces during active operations
- +Integration with positioning overlays for contextual operator views
- –Third-party sensor and overlay integration requires upfront interface planning
- –Complex deployments can increase configuration and commissioning workload
- –Higher-end functionality is tied to specific vehicle and I O integration scope
- –Advanced mission recording formats may require internal process alignment
ROV pilot teams
Operate inspection missions with coordinated logging
Faster issue triage after dives
ROV engineering teams
Diagnose thruster faults from recorded sessions
Reduced troubleshooting time
Show 2 more scenarios
Subsea operations managers
Standardize survey runs across crews
More repeatable inspection outcomes
Configured session workflows make repeat operations and training consistency easier to enforce.
Systems integration engineers
Add acoustic positioning overlays to piloting
Better navigation context during runs
Position overlay inputs integrate into the operator view for situational awareness during maneuvers.
Best for: Fits when teams run repeatable inspection missions and need time-synced telemetry logging with operator control workflows.
VideoRay
SMBManufacturer of micro-ROVs with Cockpit pilot software for underwater inspection and intervention.
Metadata telemetry stamping attached to recorded runs for inspection playback correlation with vehicle signals.
VideoRay focuses on ROV software workflows tied to VideoRay vehicle systems, where operator views and mission logging are built around tethered operations rather than generic telemetry dashboards. The core capabilities include ROV pilot interface control panels, real-time video handling with metadata telemetry stamping, and recorded survey data logging for post-run review.
- +Pilot UI matches tethered ROV tasks with direct control surfaces for operators
- +Video with metadata telemetry stamping improves review traceability during inspection work
- +Tether management telemetry inputs feed operator views for run awareness
- +Survey data logging supports repeatable post-mission inspection review
- –Integration depth is strongest for VideoRay vehicle ecosystems and weaker across mixed fleets
- –Automation and API surface for external systems is limited compared with industrial IoT suites
- –Enterprise governance controls like fine-grained RBAC and audit log are not a central focus
- –Kinematics and station control tuning still depends on vehicle-side configuration work
ROV operators on tethered jobs
Control missions with video-first pilot panels
Clear operational awareness
Field survey teams
Log recorded survey data for after-action review
Better quality assurance
Show 1 more scenario
ROV IT administrators
Manage workstation to vehicle pairing rules
Predictable access control
Administrative governance centers on pairing and workstation rules instead of broad multi-tenant RBAC.
Best for: Fits when teams use VideoRay ROVs and need operator-first control plus logged inspection review.
Blue Robotics
SMBMaker of the BlueROV2 with Companion and Cockpit software for ROV piloting and telemetry.
Video capture with telemetry time correlation for subsea inspection evidence, aligned to Blue Robotics operator control sessions.
Blue Robotics provides ROV software tightly linked to its hardware ecosystem, centered on mission video, telemetry capture, and operator control workflows for tethered vehicles. The toolchain emphasizes station control data flows and time-correlated video for inspection work that needs traceable observations.
- +Time-correlated video capture supports later inspection review
- +Telemetry logging matches operator workflows for tethered operations
- +Hardware-aligned control design reduces cross-system glue work
- +Mission recordings help standardize survey observation records
- –Integration depth is limited outside the Blue Robotics hardware ecosystem
- –Advanced mission automation depends more on external tooling
- –Custom sensor streaming needs development effort and wiring discipline
- –Fine-grained governance features like RBAC are not a native focus
Inspection crews using Blue hardware
Capture time-correlated video and telemetry
Audit-ready observations
ROV training coordinators
Standardize operator control workflows
More consistent training
Show 1 more scenario
Marine engineering reviewers
Review survey records tied to operator state
Faster engineering review
Logging focuses on repeatable survey records and captured state for later engineering analysis.
Best for: Fits when inspection teams need repeatable operator logging and video timecode correlation for Blue Robotics ROV stacks.
Saab Seaeye ROV Control Systems
enterpriseVehicle control and subsea management systems for observation and work-class ROVs.
Operator-focused control console behaviors that align with Saab Seaeye vehicle control states to reduce pilot interpretation load.
Saab Seaeye ROV Control Systems provides the control-side software layer used with Saab Seaeye ROVs to run vehicle operations, manage pilot interaction, and coordinate control logic. It focuses on tether and vehicle status integration, pilot display of operational parameters, and configurable camera and sensor behaviors for subsea work sessions. The system is designed to work with station control hardware and standard subsea payload interfaces so operators can run missions without building custom control apps.
- +Tight coupling to Saab Seaeye vehicle control loops and status signals
- +Configurable operator displays for camera angles and key vehicle parameters
- +Mission-relevant telemetry grouping for faster operator awareness
- +Works as an integrated control layer with station hardware
- –Automation depth is limited outside the Saab Seaeye control environment
- –Extensibility depends on integration work with external telemetry sources
ROV pilot teams
Operate vehicle controls with status integration
Reduced control friction
Subsea operators running payload sessions
Configure camera and sensor behaviors per job
Job-specific operation
Show 1 more scenario
Field support engineers
Run missions using standard payload interfaces
Less bespoke integration
It integrates with station control hardware and standard subsea payload interfaces for mission execution.
Best for: Fits when operators run Saab Seaeye ROV workflows and need dependable control-side telemetry and display configuration.
SMD ROV Control Systems
enterpriseIntegrated control systems for work-class ROVs, tooling, launch systems, and subsea operations.
Operator workflow configuration that keeps pilot screens aligned with mission procedures and logged session context.
SMD ROV Control Systems targets ROV control and operator workflows for tethered operations where local control logic and subsea telemetry handling matter. The software focus centers on an ROV pilot interface, video and sensor data presentation, and operational session logging for field traceability.
- +ROV pilot interface supports operator-focused mission screen layouts
- +Session logging supports repeatability during inspections and survey runs
- +Telemetry presentation groups vehicle and payload signals for faster checks
- +Camera and sensor views can be aligned to operational procedures
- –API surface for third-party automation is not emphasized for external systems
- –Extensibility beyond configured operator workflows can require vendor support
- –Integration depth with enterprise asset platforms is limited versus general IoT suites
- –Governance controls for multi-user operations such as RBAC are not clearly central
Contract ROV service providers
Standardize mission screens for operators
More consistent operations
Field technicians on site
Maintain session traceability for deployments
Clear job documentation
Show 1 more scenario
Industrial integration teams
Use local control logic and telemetry presentation
Lower integration effort
The focus stays on control and session telemetry presentation rather than deep cross-system IoT integration.
Best for: Fits when ROV crews need consistent pilot screens and telemetry logging for tethered operations.
Deep Trekker
SMBPortable ROV systems with proprietary piloting and control software for underwater inspection.
Session-based inspection logging that ties captured video and telemetry into a single operator workflow for later review.
Deep Trekker centers industrial inspection and ROV operations around a mission workflow that connects onboard telemetry with operator video control. The software handles tethered system operations, supports survey execution with structured logging, and provides operator-facing controls designed for repeatable runs.
- +Time-aligned video and telemetry capture supports traceable inspection review
- +Mission workflow reduces operator variability across repeat survey runs
- +Operator controls are designed around tethered ROV operations
- +Session-based logging keeps inspection artifacts organized
- –Integration depth for custom manipulator scripting can be limited
- –External API coverage and automation hooks are narrower than generic IoT stacks
Industrial inspection teams
Execute structured surveys with aligned outputs
Tighter operator-to-data link
ROV mission planners
Run repeatable inspection sessions
More repeatable results
Show 1 more scenario
Quality and compliance reviewers
Review time-aligned video and telemetry evidence
Faster evidence review
Time-aligned capture helps reviewers connect observed conditions to telemetry within a single recorded session.
Best for: Fits when inspection teams need consistent survey workflows with recorded operator video and telemetry traceability.
Conclusion
After evaluating 10 rov software, SeeByte stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Rov Software
ROV software in this guide covers subsea pilot interface workflows, telemetry-to-video correlation, and mission logging across Teledyne Marine, SeeByte, QGroundControl, and ArduSub. The remaining tools covered include EIVA, Blue Robotics, VideoRay, Deep Trekker, Saab Seaeye ROV Control Systems, and SMD ROV Control Systems. This buyer’s guide ranks these systems by how tightly they bind operator control sessions to recorded telemetry evidence and by how much automation and integration work they require for external tooling.
ROV Software for telemetry-driven pilot interfaces, mission planning, and time-synced inspection logging
ROV software coordinates operator control and recorded evidence by aligning mission context with telemetry and video for later inspection playback. Tools like Teledyne Marine focus on mission recording that couples operator session context with time-synced sensor and video metadata for later correlation. SeeByte takes a different approach by tying telemetry-driven overlays to mission logging for the same dive, which supports consistent operator review and evidence capture.
At the system level, ROV software often spans mission workflow configuration, telemetry logging, and replay-friendly inspection review while also defining how much external integration is supported through interfaces and adapter compatibility. For teams that standardize on ArduPilot or PX4, QGroundControl pairs waypoint-style mission planning with telemetry replay, but it can require MAVLink message mapping work to reach deeper ROV-specific functions.
ROV Software capabilities that determine evidence-grade mission playback
ROV software value concentrates on how consistently operator actions, telemetry, and recorded video can be correlated during inspection review. The tools in this guide separate into two patterns: session-centric recording that binds operator context to time-synced signals, and autopilot-centric mission planning that replays telemetry in a mission workflow.
Time-aligned session recording and replay correlation
Teledyne Marine couples operator session context with time-synced sensor and video metadata for later correlation. EIVA also targets timecode-aligned recording that ties live operator video to telemetry and dive metadata for inspection-class post-analysis.
Telemetry-driven overlays bound to the same dive log
SeeByte unifies the operator workflow by tying telemetry-driven overlays to mission logging for the same dive. Blue Robotics provides video capture with telemetry time correlation aligned to Blue Robotics operator control sessions.
Mission planning that matches common autopilot workflows
QGroundControl pairs waypoint-style mission planning with telemetry replay that stays consistent across connected autopilots. ArduSub focuses on station-keeping autopilot behavior driven by standard ROV sensor inputs and vehicle-actuator mappings with telemetry for external tooling.
Metadata stamping for traceability during inspection review
VideoRay attaches metadata telemetry stamping to recorded runs so inspection playback can correlate vehicle signals. Deep Trekker provides session-based inspection logging that ties captured video and telemetry into a single operator workflow for later review.
Vendor-aligned operator control console behaviors
Saab Seaeye ROV Control Systems aligns operator control console behaviors to Saab Seaeye vehicle control states to reduce pilot interpretation load. SMD ROV Control Systems keeps pilot screens aligned with mission procedures and logged session context for tethered operations.
Decide based on the binding depth between pilot control, logging, and mission replay
Choice should start with where the operator workflow lives and how recordings get bound to telemetry. Teledyne Marine and EIVA emphasize mission recording and time alignment that supports repeatable evidence capture across ROV survey runs, while QGroundControl and ArduSub emphasize mission and control-loop workflows that can be adapted around connected stacks.
Pick a recording-first model when inspection correlation is the primary deliverable
Choose Teledyne Marine when teams need mission recording that couples operator session context with time-synced sensor and video metadata for later correlation. Choose EIVA when the requirement centers on video timecode sync that ties live operator video to telemetry and dive metadata for inspection-class post-analysis.
Pick a single-workflow dive model when overlays and logs must match every time
Choose SeeByte when telemetry-driven overlays must be tied to mission logging for the same dive so operator review stays consistent. Choose Deep Trekker when repeat survey workflows require a session-based inspection log that merges captured video and telemetry in one operator workflow.
Pick an autopilot-aligned model when mission planning must port across vehicles
Choose QGroundControl when crews standardize on ArduPilot or PX4 and require waypoint-style mission planning plus telemetry replay. Expect MAVLink message mapping work when ROV-specific functions must be mapped beyond generic autopilot message sets.
Pick a control-loop configuration model when station keeping behavior is the focus
Choose ArduSub when teams need a configurable autopilot core with depth and heading hold behavior driven by sensor-to-actuator mappings. Plan commissioning time for careful tuning of control loops and sensor calibration so repeatable behavior matches mission expectations.
Pick a vendor ecosystem model when operator control state matters more than open integration
Choose Saab Seaeye ROV Control Systems when crews run Saab Seaeye vehicles and want operator-focused console behaviors aligned to vehicle control states. Choose SMD ROV Control Systems when mission procedure alignment and session logging are the primary workflow goals for tethered operations and external automation is not the center of the requirement.
Pick a metadata stamping model when teams need traceability without heavy overlay logic
Choose VideoRay when recorded runs must carry metadata telemetry stamping for inspection playback correlation with vehicle signals. Choose Blue Robotics when time-correlated video capture aligned to Blue Robotics operator control sessions fits the deployment scope.
Who should buy which ROV Software pattern
ROV teams should select based on whether the software must preserve operator intent and evidence-grade correlation during post-dive review. Mission and control-loop oriented buyers should choose tools that match their autopilot stacks and accept any mapping work for ROV-specific capabilities.
Inspection teams running repeatable mission evidence capture
Teledyne Marine fits when operators must produce time-aligned video and telemetry records that correlate with session context across repeated dives.
Subsea teams that want overlays and logs to be generated as one operator workflow
SeeByte fits when telemetry-driven overlays and mission logging must stay synchronized for consistent operator review and evidence capture.
Autopilot-focused teams standardizing on ArduPilot or PX4
QGroundControl fits when waypoint-style mission planning and telemetry replay must remain consistent across connected autopilots with repeatable capture.
ROV crews deploying configurable station-keeping control loops
ArduSub fits when deterministic station-keeping behavior driven by well-defined sensor-to-actuator pathways is the priority.
Vendors and operators locked into a control console ecosystem
Saab Seaeye ROV Control Systems fits when operator control state alignment to Saab Seaeye vehicle signals reduces pilot interpretation load during operations.
Common ROV Software mistakes during procurement
Mistakes usually come from treating mission logging as interchangeable with evidence correlation or treating autopilot mission planning as interchangeable with ROV-specific pilot workflows. Buyers also underestimate the setup effort needed for station configuration and sensor mapping when tools are driven by different message sets.
Selecting an autopilot mission planner without budgeting for ROV-specific MAVLink mapping work
QGroundControl needs MAVLink message mapping work when ROV-specific functions must be mapped beyond common autopilot message sets.
Assuming telemetry overlays will automatically match the evidence log without upfront signal and station planning
SeeByte expects signal mapping and station configuration engineering time so telemetry-driven overlays align with mission logging outputs for the same dive.
Choosing a control-loop configuration tool without planning for commissioning tuning and sensor calibration
ArduSub requires careful tuning of control loops and sensor calibration during commissioning to keep depth and heading hold behavior predictable.
Underestimating integration constraints when the fleet spans beyond the vendor’s hardware ecosystem
Blue Robotics integration depth is strongest inside the Blue Robotics hardware ecosystem, so mixed-fleet tether and sensor setups need external tooling planning.
How We Selected and Ranked These Tools
We evaluated mission recording and replay binding that connects operator session context to time-synced sensor and video metadata, because that directly determines inspection evidence traceability. Features counted for 40% of the score, and ease counted for 30% of the score because session configuration and operator workflow setup affect commissioning throughput.
Value counted for 30% of the score because the practical integration workload shows up as upfront interface planning and commissioning time. Teledyne Marine stood apart because its mission recording couples operator session context with time-synced sensor and video metadata, and the tool also uses operator-first control surfaces for subsea vehicle workflows.
Frequently Asked Questions About Rov Software
How do Teledyne Marine and EIVA keep video correlated with telemetry during recording?
Which tool handles station-keeping autopilot behavior at the vehicle-control layer?
When does SeeByte’s unified operator workflow matter for tethered operations?
What breaks if VideoRay’s workstation and vehicle pairing rules are not aligned with the operator workflow?
How does QGroundControl differ from industrial ROV control consoles for mission planning?
How do Saab Seaeye ROV Control Systems and SMD ROV Control Systems differ in admin and deployment control?
Which tool is better suited for teams that need extensibility for sensor feeds and overlays?
How does Deep Trekker keep inspection outputs tied to a single operator session?
What is the tradeoff between ArduSub’s vehicle-control focus and a broader industrial IoT integration layer?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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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