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Aerospace Aviation SpaceTop 10 Best Gps Testing Software of 2026
Ranking roundup of top gps testing software tools with key criteria and tradeoffs for field testing teams, plus a concise comparison list.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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NovAtel GrafNav is the best pick for survey and inertial teams replaying GNSS logs because its log-based reprocessing and solution editing make controlled before-and-after comparisons straightforward, whereas Septentrio RxTools fits labs that focus on Septentrio receiver diagnostics since it ties run diagnostics and replay views to configuration changes.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
NovAtel GrafNav
GrafNav’s log-based reprocessing and solution editing workflow supports controlled comparisons between test sessions.
Best for: Fits when teams replay GNSS logs to compare RTK results and investigate solution changes with repeatable processing.
Septentrio RxTools
Editor pickReceiver-focused run diagnostics and replay views that map measurement behavior to configuration changes.
Best for: Fits when labs validate Septentrio receiver behavior using repeatable logged sessions.
GPSBabel
Editor pickExtensive driver-based CLI conversions that translate geospatial datasets while preserving attributes across formats.
Best for: Fits when teams automate scenario data normalization between GNSS and GIS tools.
Comparison Table
NovAtel GrafNav
enterpriseGNSS post-processing and accuracy validation software for survey and inertial applications.
GrafNav’s log-based reprocessing and solution editing workflow supports controlled comparisons between test sessions.
GrafNav is built for working with GNSS data products like raw measurements and correction-driven solutions, then producing analyzable results such as baselines and trajectories. Teams use it to validate differential GNSS behavior by reprocessing logs with controlled settings and then exporting results for downstream reporting. Integration depth is strongest when test data originates from NovAtel receivers and when the workflow stays inside GrafNav for configuration and interpretation.
A key tradeoff is that GrafNav focuses on post-processing and receiver-centric workflows rather than generating simulated GNSS signals for hardware-in-the-loop runs. GrafNav fits best when the goal is to replay and audit positioning outcomes from captured sessions, then compare fix behavior across static and dynamic scenarios using consistent processing settings.
- +Strong post-processing for GNSS logs into baselines and trajectories
- +Repeatable configuration reduces drift between test runs
- +Receiver ecosystem alignment improves format consistency
- +Editing and reprocessing support investigation of solution changes
- –Limited fit for signal generation and simulator-controlled test loops
- –Advanced tuning requires operator familiarity with GNSS processing settings
- –Automation surface depends on workflow design rather than a standalone scripting focus
- –Deep format breadth may lag teams that start from non-NovAtel datasets
GNSS test engineers
Replay receiver logs for RTK comparison
Consistent result comparisons
Surveying operations teams
Verify project trajectories against baselines
Auditable positioning outcomes
Show 1 more scenario
Field test leads
Investigate fix behavior across runs
Faster root-cause analysis
GrafNav supports editing and rerunning processing to pinpoint where solution behavior changes.
Best for: Fits when teams replay GNSS logs to compare RTK results and investigate solution changes with repeatable processing.
Septentrio RxTools
vertical specialistMonitoring and analysis software for logging and evaluating Septentrio GNSS receiver output.
Receiver-focused run diagnostics and replay views that map measurement behavior to configuration changes.
RxTools is used to manage receiver logs, replay recorded sessions, and inspect receiver state transitions with views aimed at GNSS engineering work. The product supports ingest and export paths that align with common measurement and correction formats such as RINEX artifacts and RTCM correction streams, which reduces glue scripting. For integration depth, RxTools typically runs as the test workstation layer around Septentrio receivers, while external systems drive orchestration through file-based handoffs and operator-driven control rather than open service APIs. The overall fit is strongest when the lab already standardizes on Septentrio logging outputs and wants consistent analysis across engineering teams.
A key tradeoff is that automation depth depends more on repeatable operator workflows and scriptable file flows than on a rich programmatic API for end-to-end test orchestration. RxTools works best when a test manager needs fast iteration on signal conditions using recorded sessions and then converts observations into documented evidence for receiver tuning or qualification. It is less ideal when a program requires full software-in-the-loop automation with controller-grade telemetry streaming and bidirectional control through a public API.
- +Receiver-centric diagnostics speed root-cause analysis
- +Repeatable log replay supports consistent before-and-after comparisons
- +File-based export paths fit lab pipelines with standard artifacts
- –Automation relies heavily on workflow discipline rather than deep APIs
- –Scenario setup can be slower for high-volume batch runs
- –Non-Septentrio integration often requires extra conversion steps
GNSS test engineers
Analyze logged performance regressions
Faster fault isolation
Field validation teams
Compare correction-stream impacts
More consistent acceptance evidence
Show 1 more scenario
Receiver development labs
Tune sensitivity and startup behavior
Reduced tuning cycles
RxTools supports inspection of acquisition behavior across controlled logging sessions.
Best for: Fits when labs validate Septentrio receiver behavior using repeatable logged sessions.
GPSBabel
SMBOpen source tool for converting and validating GPS data across hundreds of formats.
Extensive driver-based CLI conversions that translate geospatial datasets while preserving attributes across formats.
GPSBabel fits when test workflows depend on moving data between tools that speak different geospatial formats. It provides command-line conversion that can be embedded into automated build steps for preprocessing route replay inputs or normalizing exported waypoint sets. Format driver coverage is the main integration surface, because the tool translates file-to-file and does not attempt to control receivers or generate RF signals.
A tradeoff appears when teams need closed-loop testing with signal timing or live device control, since GPSBabel only reshapes data and does not generate correction streams or runtime test telemetry. It works best when a static scenario definition in one format must be translated into another format before running downstream simulation, RTK validation, or GIS review.
- +High-format coverage for waypoint, track, and route conversions
- +Scriptable CLI enables batch preprocessing for test pipelines
- +Attribute and coordinate mapping during driver-to-driver translation
- +Repeatable conversions support consistent regression inputs
- –No live simulator control or GNSS signal generation
- –Driver configuration can be intricate for attribute-heavy datasets
- –Errors can be harder to diagnose without inspecting intermediate files
- –Limited governance features for multi-user test environments
GNSS test engineers
Normalize route files across tools
Less manual reformatting
GIS analysts in testing
Unify waypoint exports for review
Cleaner analysis inputs
Show 1 more scenario
QA automation leads
Regression scenario preprocessing
More repeatable runs
Batch convert scenario assets so each test run starts from identical normalized files.
Best for: Fits when teams automate scenario data normalization between GNSS and GIS tools.
SDRangel
API-firstOpen source SDR software that supports GNSS-related signal work and radio testing workflows.
SDRangel’s block-based architecture lets GNSS-adjacent signal generation and processing be reconfigured in real time for targeted experiments.
SDRangel focuses on GNSS and general SDR workflows, using a client-side signal-processing toolchain rather than a closed GPS emulator UI. It supports receiver-oriented testing through configurable signal generation and capture pipelines that can feed logs and analysis paths.
- +Modular SDR blocks support custom signal-path experiments
- +Works as a receiver-centric testing harness with configurable pipelines
- +File-driven replay workflows support repeatable test setups
- +Community-driven extensions broaden supported GNSS-related workflows
- –No native enterprise governance or RBAC controls
- –Workflow automation depends on user scripting and glue work
- –UI guidance for complex GNSS scenario setup is limited
- –Throughput and large batch runs require careful operational tuning
Best for: Fits when labs need configurable SDR-based GNSS signal-path testing with repeatable manual scenarios.
LabSat
enterpriseGNSS record and replay system with bundled simulation software for testing GPS devices with real-world signal captures.
Scenario orchestration that keeps route and signal conditions synchronized for repeatable measurement logs.
LabSat runs repeatable GNSS test scenarios by turning scripted drives and signal conditions into logged receiver outputs. The core workflow centers on scenario definition, execution, and exporting measurement results for later analysis.
- +Scenario-driven runs that keep test inputs consistent across executions
- +Exportable logs support offline comparison of accuracy and fix behavior
- +Data import paths fit common GNSS toolchains for replay workflows
- +Works well for batch runs that need predictable outputs
- –Scenario setup takes more structure than ad hoc route checks
- –Advanced disturbance scenarios need extra attention to scenario timing
- –Integration depth depends on matching output formats to downstream tools
- –Governance features like RBAC and audit trails are limited for large teams
Best for: Fits when test teams need repeatable GNSS scenario execution and consistent output logs for analysis.
Rohde & Schwarz GNSS Simulation
enterpriseGNSS signal simulation capabilities integrated into Rohde & Schwarz vector signal generators for GPS receiver testing.
Scenario determinism driven by orbital data inputs to keep generated measurements stable across regression runs.
Rohde & Schwarz GNSS Simulation targets teams that need deterministic GNSS signal generation for qualification testing, not just playback of recorded data. The software supports constellation and orbital inputs that drive consistent pseudorange behavior across scripted scenarios.
- +Deterministic scenario runs for qualification and regression testing
- +Tight coupling of orbital inputs to generated measurements
- +Supports scripted signal behavior suited for dynamic receiver validation
- +Works well when GNSS input must feed external test hardware
- –Setup effort is higher than tools focused on simple replay
- –Automation depth can require engineering support for large test matrices
- –Format flexibility for downstream logs is narrower than general playback tools
- –Scenario modeling granularity can feel heavy for small one-off tests
Best for: Fits when engineering teams need repeatable GNSS signal scenarios for qualification and system-level test benches.
Racelogic VBOX Tools
vertical specialistSoftware for analyzing GPS speed and position data captured by Racelogic VBOX data loggers.
Timeline-synchronized analysis of VBOX recordings, with event tagging that stays attached to plots and generated reports.
Racelogic VBOX Tools centers on analyzing and visualizing GNSS and vehicle test logs from Racelogic capture hardware, with workflows tailored to proving time-aligned position, speed, and fix behavior. The toolset supports importing common navigation exports for route and scenario replay work, then overlays derived accuracy and event metrics on plots and reports. Engineers also use it to compare runs, mark events, and export cleaned datasets for downstream verification and integration tasks.
- +Tight log-to-plot workflow for position, speed, and fix state
- +Event marking and run comparison support repeatable analysis sessions
- +Reporting exports keep evidence aligned with the plotted timelines
- +Scenario replay from recorded traces supports route validation
- –Automation and scripting depth is limited versus API-first competitors
- –Full integration breadth is strongest when logs originate from Racelogic hardware
- –High-volume batch processing needs careful project setup discipline
- –Less direct support for synthetic GNSS signal control than simulator-centric tools
Best for: Fits when teams analyze recorded GNSS vehicle drives and need consistent event-timeline reports without heavy automation.
IFEN NavX-NCS
enterpriseGNSS test signal simulator software for multi-constellation GPS signal generation in laboratory environments.
Scenario orchestration that ties trajectory stimulus configuration to repeatable lab receiver test runs.
IFEN NavX-NCS is a GPS and GNSS testing software used to set up repeatable receiver scenarios for evaluation and validation workflows. It centers on scenario orchestration, trajectory and stimulus configuration, and integration with signal output paths used during lab tests.
- +Repeatable scenario orchestration for repeatable GNSS receiver evaluations
- +Supports static and dynamic route stimulus configurations for test coverage
- +Produces structured test outputs aligned to lab receiver workflows
- +Works well for teams that need consistent runs across multiple DUTs
- –Scenario setup can require careful parameter configuration to avoid invalid stimuli
- –Integration depth depends heavily on the specific signal generator or receiver interface
Best for: Fits when labs need consistent scenario replay and structured GNSS test outputs across multiple DUT runs.
Syntony GNSS Simulator
specialistGNSS simulation software supports receiver development, validation, and signal-threat testing.
Ephemeris and almanac-based constellation simulation with scripted scenario playback for deterministic receiver testing.
Syntony GNSS Simulator generates GNSS signal scenarios for receiver and navigation testing by controlling satellite geometry and measurement behavior.
- +Scenario scripting supports repeatable receiver and navigation regression tests
- +Ephemeris and almanac-driven constellation behavior improves realism
- +Configurable satellite visibility supports static and dynamic playback
- +Exported navigation and measurement outputs fit common GNSS test harnesses
- –Complex scenario configuration can slow setup for small test teams
- –Advanced RF impairment workflows depend on external test equipment integration
Best for: Fits when engineering teams need repeatable GNSS measurement scenario runs tied to real ephemeris and deterministic playback.
GPS Simulator by CAST Navigation
enterpriseGPS and GNSS simulation systems for military and commercial navigation testing.
Scenario route replay tied to receiver-facing output streams for repeatable testing runs.
GPS Simulator by CAST Navigation provides software-only GNSS signal generation for laboratory receiver testing and repeatable movement scenarios. It supports scenario playback using recorded routes and configurable sensor conditions, which helps teams validate receiver behavior under controlled dynamics.
- +Route replay supports repeatable evaluation across static and dynamic runs
- +Configurable conditions support end-to-end receiver logging validation
- +Software-only deployment reduces lab setup friction compared with signal hardware
- +Outputs integrate with common NMEA ingestion workflows
- –Advanced scenario accuracy depends on correct ephemeris and environment inputs
- –Hardware-in-the-loop style setups may require extra integration work
Best for: Fits when teams need repeatable receiver testing using route replay and controlled GNSS conditions without adding signal generator hardware.
Conclusion
After evaluating 10 gps testing software, NovAtel GrafNav 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 Gps Testing Software
GPS testing software helps teams turn GNSS measurement and receiver outputs into repeatable test artifacts across log replay, scenario orchestration, and signal-path style experiments. This guide covers NovAtel GrafNav, Septentrio RxTools, GPSBabel, SDRangel, LabSat, Rohde & Schwarz GNSS Simulation, Racelogic VBOX Tools, IFEN NavX-NCS, Syntony GNSS Simulator, and the GPS Simulator by CAST Navigation.
The tools differ by where control lives in the workflow. GrafNav emphasizes log-based reprocessing and solution editing for controlled comparisons. RxTools emphasizes receiver-focused run diagnostics and replay views that map measurement behavior to configuration changes.
GPS Testing Software for GNSS log replay, scenario orchestration, and receiver or signal-path validation
GPS testing software coordinates GNSS test inputs and test outputs so teams can rerun the same conditions, compare outcomes, and isolate why position accuracy or fix behavior changed. For example, NovAtel GrafNav centers on log-based reprocessing and solution editing so test teams can compare RTK results across sessions with repeatable processing settings.
Other tools shift the work toward measurement interpretation or scenario execution. Septentrio RxTools focuses on receiver run diagnostics and replay views that connect measurement behavior to configuration changes, while LabSat uses scenario orchestration to keep route and signal conditions synchronized for consistent output logs.
Across these options, buyers usually evaluate control depth and repeatability first, then map format handling and automation surface to the rest of the test pipeline. The strongest fit depends on whether the primary requirement is comparing logged solutions, diagnosing receiver behavior, or orchestrating deterministic scenario runs for qualification and regression.
Control depth, replay repeatability, and automation surface for Gps Testing Software
Teams buying gps testing software usually live or die by where control sits in the workflow, because GrafNav-style log reprocessing answers different questions than SDRangel-style real-time signal-path experiments. The right feature set depends on whether the test artifact comes from reprocessed solutions, receiver diagnostics, or deterministic scenario execution.
Log reprocessing and controlled solution editing for repeatable comparisons
NovAtel GrafNav centers on log-based reprocessing and solution editing so teams can compare RTK outcomes across sessions using repeatable processing settings. Racelogic VBOX Tools instead focuses on timeline-synchronized analysis and event tagging for consistent plots and reports from VBOX recordings.
Receiver diagnostics that map behavior to configuration changes
Septentrio RxTools emphasizes receiver-focused run diagnostics with replay views that connect measurement behavior to configuration changes. SDRangel shifts the work toward reconfigurable GNSS-adjacent signal-path experiments rather than receiver interpretation tied to configuration deltas.
Scenario orchestration that keeps routes and signal conditions synchronized
LabSat uses scenario orchestration to synchronize route and signal conditions so each execution produces consistent output logs. IFEN NavX-NCS also orchestrates trajectory stimulus configuration for repeatable DUT runs, with more dependence on correct parameter setup for valid stimuli.
Deterministic scenario generation driven by orbital data inputs
Rohde & Schwarz GNSS Simulation provides deterministic scenario runs by tying generated measurements to orbital data inputs for stable regression output. Syntony GNSS Simulator uses ephemeris and almanac-based constellation simulation with scripted scenario playback for deterministic receiver testing.
Data normalization and batch preprocessing for test pipeline inputs
GPSBabel provides driver-based CLI conversions that translate waypoint, track, and route datasets while preserving attributes across formats. GPS Simulator by CAST Navigation instead focuses on route replay tied to receiver-facing output streams and controlled testing runs without native geospatial normalization as its core workflow.
Extensibility for SDR-style signal-path experiments with modular blocks
SDRangel uses a block-based architecture that lets GNSS-adjacent signal generation and processing be reconfigured in real time for targeted experiments. GPSBabel and VBOX Tools do not target SDR-style real-time reconfiguration as a primary capability.
Choose the control model that matches the repeatability problem
Buyers should start by identifying what must stay invariant across test runs, because GrafNav-style reprocessing answers repeatability of processing settings while LabSat or IFEN emphasize repeatability of scenario inputs. The next choice is whether the system should interpret behavior from receiver logs or generate deterministic measurement conditions from orbital inputs.
If the goal is controlled RTK comparisons, prioritize log-based reprocessing
Choose NovAtel GrafNav when repeatability comes from reprocessing and solution editing across sessions using repeatable processing settings. Choose Racelogic VBOX Tools when the test artifact should stay attached to a timeline with event tagging on recorded VBOX runs rather than rerunning GNSS processing.
If the goal is diagnosing receiver behavior, map changes to measurement behavior
Choose Septentrio RxTools when receiver-focused diagnostics and log replay views must connect measurement behavior to configuration changes for before-and-after comparisons. Choose GrafNav when the same root-cause process depends more on solution editing and baseline trajectories than on receiver-centric diagnostics.
If the goal is deterministic scenario execution, align route and stimulus scheduling
Choose LabSat when route and signal conditions must remain synchronized so each execution produces consistent output logs for offline accuracy and fix-behavior comparison. Choose IFEN NavX-NCS when structured static and dynamic route stimulus configurations across multiple DUT runs matter, with extra attention to parameter configuration to avoid invalid stimuli.
If the goal is orbital-driven determinism for regression, use orbital input scenario engines
Choose Rohde & Schwarz GNSS Simulation when regression runs must remain stable via deterministic scenario generation driven by orbital data inputs. Choose Syntony GNSS Simulator when ephemeris and almanac-based constellation behavior with scripted scenario playback is the preferred path to deterministic receiver testing.
If the goal is dataset automation, select format conversion as an input layer
Choose GPSBabel when the test pipeline depends on scriptable driver-based conversions for waypoint, track, and route datasets while preserving attributes. Keep SDRangel or simulation-focused tools as the signal generation layer when the core need is measurement-path experiments rather than dataset normalization.
If the goal is real-time SDR signal-path experimentation, select a block-based harness
Choose SDRangel when GNSS-adjacent signal generation and processing must be reconfigured in real time using modular blocks. Choose simulator-focused tools like Syntony GNSS Simulator or Rohde & Schwarz GNSS Simulation when determinism and orbital data coupling matter more than real-time reconfiguration.
Teams that fit Gps Testing Software control models
Different gps testing software teams need different control models, since GrafNav supports controlled comparisons after the fact while SDRangel supports reconfiguration during experiments. Receiver labs and automotive test teams often pick tools based on whether they operate on recorded outputs or on deterministic scenario inputs.
GNSS processing teams comparing RTK and solution outcomes across repeated sessions
NovAtel GrafNav fits teams that replay logs for controlled reprocessing and solution editing so RTK results can be compared across sessions with repeatable processing settings. Racelogic VBOX Tools fits when recorded VBOX drives require timeline-synchronized event tagging and report generation for consistent analysis sessions.
Receiver validation labs running before-and-after configuration studies
Septentrio RxTools fits labs that validate receiver behavior using receiver-centric run diagnostics and replay views tied to configuration changes. That choice supports investigation using repeatable logged sessions without shifting the test plan toward SDR-style real-time signal-path experimentation.
Test engineers orchestrating deterministic route stimuli for DUT evaluation
LabSat fits test teams that need scenario-driven runs where route and signal conditions stay synchronized so each run produces consistent output logs. IFEN NavX-NCS fits labs that need structured static and dynamic route stimulus configurations across multiple DUT runs while carefully managing scenario parameters to avoid invalid stimuli.
Regression and qualification teams requiring orbital-data determinism for stable measurement generation
Rohde & Schwarz GNSS Simulation fits engineering teams that need deterministic scenario runs for qualification and regression testing by coupling orbital inputs to generated measurements. Syntony GNSS Simulator fits teams that want ephemeris and almanac-based constellation simulation with deterministic playback tied to scripted scenarios.
Automation-focused teams normalizing geospatial inputs across GNSS and GIS tools
GPSBabel fits test pipelines that need batch preprocessing of waypoint, track, and route datasets through a scriptable CLI that preserves attributes across formats. It does not replace simulator or SDR orchestration when the main goal is controlled GNSS measurement generation.
Common ways Gps Testing Software purchases go wrong
Mistakes happen when the purchase targets the wrong control point in the loop, like choosing a dataset conversion tool when the requirement is deterministic measurement generation. They also happen when teams underestimate the setup discipline required by scenario orchestration and receiver diagnostic workflows.
Buying a simulator-focused or SDR-focused tool to replace post-processing comparisons
NovAtel GrafNav is built for log-based reprocessing and solution editing to support controlled comparisons between test sessions. SDRangel’s modular real-time signal-path reconfiguration does not provide the same log-based solution baseline workflow.
Assuming receiver diagnostics will be deeply API-driven for unattended batch runs
Septentrio RxTools provides repeatable log replay and receiver-centric diagnostics but automation relies heavily on workflow discipline rather than deep APIs. LabSat emphasizes scenario-driven executions that can keep inputs synchronized without requiring the same depth of receiver API integration.
Underestimating scenario setup discipline for deterministic replay
LabSat and IFEN require structured scenario setup and careful scenario timing to keep disturbances and stimulus conditions valid across runs. Rohde & Schwarz GNSS Simulation and Syntony GNSS Simulator also require higher setup effort when orbital determinism is the target.
Treating format conversion as a substitute for GNSS signal generation or receiver testing harnesses
GPSBabel excels at driver-based CLI conversions for geospatial datasets and attribute preservation across formats. It provides no live simulator control or GNSS signal generation, so it cannot replace SDRangel or orbital-driven GNSS simulation for measurement-path experiments.
Selecting event-timeline analysis when the requirement is scenario-level determinism and re-run reproducibility
Racelogic VBOX Tools is strongest for timeline-synchronized analysis and event tagging on VBOX recordings. If deterministic scenario inputs must be kept synchronized across runs, LabSat, IFEN NavX-NCS, Rohde & Schwarz GNSS Simulation, or Syntony GNSS Simulator better match that control requirement.
How analysts checked the GPS Testing Software picks
Analysts opened the original publication and copied each figure that appeared next to the passages describing the tools and their capabilities. Analysts compared each copied figure with the official documentation and the changelog, and they also referenced an independent review when the publication cited one.
Analysts kept a figure only when it matched those materials, and they included a published benchmark only when the benchmark was the stated source. This process favored NovAtel GrafNav because its log-based reprocessing and solution editing workflow repeatedly aligned with how the tool is described for controlled comparisons across sessions.
Frequently Asked Questions About Gps Testing Software
Which tools cover reprocessing recorded GNSS logs for controlled RTK comparisons?
How do deterministic signal scenarios differ between GNSS simulation tools and SD R-based workflows?
When does a format conversion engine like GPSBabel become a bottleneck workaround?
What breaks if a team treats receiver diagnostics as an afterthought during scenario playback?
Which tool is better suited for mapping trajectory stimulus configuration to repeatable lab runs?
How do ephemeris and almanac inputs change scenario reproducibility for regression testing?
Which integrations and data exchange paths matter most when feeding logs into downstream test harnesses?
When does receiver-platform alignment matter more than scenario control?
What security and access controls become a practical issue in multi-user test labs?
How do teams handle data migration when moving scenarios between tools in a GNSS test stack?
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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