GITNUXSOFTWARE REVIEW
Arts Creative ExpressionTop 12 Best 2D Vtuber Rigging Software of 2026
Compare 2d vtuber rigging software options and key tradeoffs for creators, with Rive as one example of supported workflows.
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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Rive is the best pick for VTuber rigs that need parameter-driven logic across live states, because its state-machine parameters coordinate pose, expressions, and actions in one runtime asset, while VTube Studio fits streamers who want webcam and controller tracking to drive face and body parameters in real time.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Rive
State machine parameters drive conditional transitions for expressions, blinks, and hotkey actions in one runtime asset.
Best for: Fits when VTuber rigs need parameter-driven animation logic across streaming states.
VTube Studio
Editor pickWebcam and controller tracking that directly drives face and body parameters in real time for live performance control.
Best for: Fits when streaming-focused control of a ready 2D rig matters more than authoring deformer graphs.
Stretchy Studio
Editor pickParameter-to-deformer binding is organized for rapid retiming of expressions and layered mesh shapes without rebuilding the rig.
Best for: Fits when VTuber teams need repeatable mesh deformation rigs with tracking-driven auditioning in streaming workflows.
Comparison Table
Rive
API-firstRive combines 2D vector rigging, animation, and interactive runtime delivery.
State machine parameters drive conditional transitions for expressions, blinks, and hotkey actions in one runtime asset.
Rive is a good fit when VTuber rigs need multiple animation clips coordinated by conditions like blink timing, emotion changes, or a pose switch. Its state machine model lets parameters drive transitions and layered outcomes without manual retiming of animations. Runtime integration is practical for Unity and Unreal pipelines through Rive embedding and its runtime assets. The same authoring file can serve both face and body behaviors when the rig is structured around reusable inputs.
A key tradeoff is that Live2D-style mesh deformation and traditional parameterized face rigs are not Rive’s primary authoring model, so rigs that rely on heavy mesh warping may need a different approach. Rive works best when VTuber motion can be represented with vector shapes, transforms, and runtime-driven state logic. It also fits teams that want shared rig logic across scenes and want fewer animator handoffs between cutscenes and streaming behaviors.
- +State machines coordinate pose, emotion, and expressions through parameters
- +Vector-based art stays responsive across runtime viewports and scales
- +Layered animation clips support separate controls for streaming actions
- +Runtime embedding fits Unity and Unreal-driven VTuber scenes
- –Mesh deformation workflows are not the main authoring paradigm
- –State machine design discipline is needed to avoid conflicting transitions
- –Precision facial nuance may require careful rig segmentation
- –Some tracking-to-parameter mappings require custom wiring
Indie VTuber
Hotkey poses and blink control
Fewer manual animation triggers
Unity streaming developer
Tracker-driven facial expressions
Stable expression switching
Show 2 more scenarios
Small VTuber studio
Reuse rig logic across models
Faster rig authoring cycles
Shared state machine patterns help standardize actions and transitions across multiple characters.
Unreal scene engineer
Runtime embedding for scenes
Consistent on-air visuals
Rive assets can be embedded into Unreal scenes so rig logic stays consistent across overlays.
Best for: Fits when VTuber rigs need parameter-driven animation logic across streaming states.
VTube Studio
vertical specialistApplication for loading 2D Live2D models onto an avatar for real-time webcam tracking.
Webcam and controller tracking that directly drives face and body parameters in real time for live performance control.
VTube Studio emphasizes real-time 2D avatar control with tracking inputs that drive rig parameters during live sessions.
Parameter mapping and hotkey actions support repeatable performance workflows that integrate with common desktop streaming software.
Rig import and parameter driving support Live2D-style deformation pipelines without focusing on custom deformer graph authoring.
- +Tracking-to-parameter pipeline reduces manual keyframe work mid-stream
- +Hotkey actions enable quick scene and motion changes
- +Face and eye parameter driving works well for continuous performances
- +Rig import supports common Live2D-style workflows for streaming
- –Limited rig authoring depth compared with dedicated editor-grade tools
- –Advanced motion setups still require careful parameter tuning outside runtime
- –Higher complexity rigs can demand more calibration time per performer
- –Automation and API-style extensibility are not the main focus
Solo live streamers
Drive webcam-based Live2D avatar during broadcasts
Responsive avatar on-air
Live2D rigging owners
Test parameter, expression, and physics behavior
Better-tuned avatar performance
Show 2 more scenarios
Small broadcast teams
Route avatar scene via virtual camera output
Consistent streaming pipeline
Send the animated character feed into capture and broadcast workflows as a reusable source.
Webcam presenters
Replace webcam filters with face-driven avatar effects
Character visuals from webcam
Use a character-based camera presentation driven by facial motion and live scene layers.
Best for: Fits when streaming-focused control of a ready 2D rig matters more than authoring deformer graphs.
Stretchy Studio
vertical specialistFree open-source 2D animation tool with AI auto-rigging and mesh deformation for VTuber-style characters.
Parameter-to-deformer binding is organized for rapid retiming of expressions and layered mesh shapes without rebuilding the rig.
Stretchy Studio provides an authoring flow for mesh deformation behavior that works directly with art-layered assets so rig updates map to visual changes. Parameter setup is designed for repeatable mouth and eye motion control, with expression parameters intended for quick retargeting across model variants. The rigging output supports common real-time playback scenarios, which reduces friction when moving from authoring to streaming software.
A notable tradeoff is that advanced physics simulation tuning takes more manual iteration than purely keyframe-driven setups. Stretchy Studio fits best when a team needs consistent deformer behavior across multiple characters while still using webcam-driven tracking to test performance in near real time.
- +Parameter-first rigging workflow speeds expression and motion iteration
- +Mesh deformation authoring supports deformation-heavy characters and accessories
- +Real-time tracking input helps validate eye and mouth timing quickly
- +Hotkey actions map cleanly to common streaming control needs
- –Physics simulation tuning needs manual passes to avoid jitter
- –Complex draw order and clipping mask stacks take careful ordering work
- –Advanced custom deformation logic needs deeper workflow familiarity
Solo vtuber artists
Iterate mouth and eye parameters fast
Shorter rig edit cycles
Small streaming teams
Reuse rig logic across variants
More models shipped
Show 2 more scenarios
Virtual production animators
Preview performance with webcam tracking
Fewer late-stage revisions
Tracking-based input enables live audition of head and face motion before final export packaging.
Motion designers
Script hotkey actions for shows
More consistent performances
Hotkey actions provide deterministic triggers for expressions and pose changes during rehearsals.
Best for: Fits when VTuber teams need repeatable mesh deformation rigs with tracking-driven auditioning in streaming workflows.
Live2D Cubism
vertical specialistLive2D Cubism rigs layered 2D artwork for expressive VTuber avatars.
Cubism parameter system drives face, eyes, and motion through editable controls rather than baked animation timelines.
Live2D Cubism provides authoring tools for creating deformers, mesh edits, and parameter mappings that update at runtime. It supports a parameter-based approach that drives eye blinks, lip sync mapping, and layered draw order without rewriting animation data each time. Physics simulation controls enable secondary motion like pendulum-style behaviors and accessory sway for character believability. Output can be used in real-time desktop and common VTuber streaming workflows through its runtime integration path.
- +Parameter-driven deformation supports consistent expressions across runtime
- +Physics controls provide secondary motion for accessories and facial nuance
- +Cubism editor workflows map tracking outputs to model parameters
- +Model export integrates with real-time VTuber streaming runtimes
- –Rigging setup requires detailed mesh and parameter authoring
- –Timeline-style animation changes can take more work than parameter tuning
- –Advanced tracking and expression coverage depends on correct parameter mapping
- –Complex models can increase runtime CPU load during high deformation
Live2D VTuber creators
Build a face-and-body model
Stable expressions during streams
Small production studios
Reuse one rig across assets
Faster iteration on new outfits
Show 2 more scenarios
Technical streamers
Integrate runtime tracking behavior
More accurate real-time performance
Route webcam and face signals into parameter targets for mouth and eye actions.
Character art teams
Convert layered artwork to deformer-ready meshes
Cleaner deformation fidelity
Use Cubism authoring to assign deformer regions and draw order to layers.
Best for: Fits when a team wants one reusable Live2D-style model for stable live expressions.
Spine
vertical specialistSpine supports skeletal 2D animation with meshes, constraints, and runtime integrations.
Timeline event triggers that map animation moments to runtime parameter changes and external control hooks.
Spine exports 2D mesh deformation characters from authoring into a runtime that Unity and Unreal can load for real-time animation. It provides a bone-based skeleton with skinning, slot draw order control, and parameterized deformers for Live2D-style movement.
- +Mesh deformation with multiple deformer types tied to animation timelines
- +Deterministic draw order via slots supports layered PSD-derived artwork
- +Event tracks can trigger runtime actions for lip-sync and hotkey states
- +Unity and Unreal runtimes keep rig behavior consistent across targets
- –Bone and mesh setup takes more authoring time than expression-only rigs
- –Complex constraints require careful ordering and testing in the editor
- –Advanced face, hand, and tracking flows depend on external integration
- –Runtime behavior varies if custom effects bypass Spine deformer stack
VTuber creators and avatar artists
Rig 2D avatars for real-time animation
Reusable animated avatar rigs
Animation teams and gameplay developers
Build reusable character move libraries
Consistent motion across characters
Show 2 more scenarios
Sprite artists and game developers
Animate sprite parts using bones and slots
Smooth animated sprites
Attaches layered artwork to slots and skins for smooth motion without redrawing every frame.
Technical artists and engine developers
Deliver runtime animation assets for engines
Game-ready animation assets
Exports deformation data, attachments, and textures for playback in real-time rendering workflows.
Best for: Fits when teams need deformable 2D rigs that stay consistent in Unity and Unreal across live animation events.
Toon Boom Harmony
enterpriseHarmony supports 2D character rigs, deformers, and cut-out animation.
Node-driven rigging and deformation control via a production-grade Harmony rig graph.
Toon Boom Harmony is a 2D character rigging and animation suite built for production pipelines that need parameter-driven deformations, not just puppet posing. Harmony’s core work centers on rigging with reusable rigs, drawing-to-rig binding, and timeline animation for characters that must stay consistent across shots.
- +Advanced rigging graph supports reusable deformation networks across shots
- +Strong timeline controls for dialogue timing refinement
- +Layered character workflows map well to puppet and cut-out animation
- +Node-based effects help produce repeatable motion behaviors
- –Rigging setup demands training in parameter wiring and animation controls
- –VTuber-specific realtime delivery requires careful export-to-runtime planning
- –Iterating face controls can be slower than lightweight puppet tools
- –Large projects can feel heavy when used as a tracking authoring tool
Dialogue and facial animators
Match mouth poses to audio
Lip sync aligns by frame
Animation directors
Refine animatic timing in timeline
Motion timing updated per shot
Show 2 more scenarios
Cut-out and puppet animators
Animate rigged parts on controls
Editable motion from rig controls
Artists drive puppet-style characters using rig controls for repeatable posing and deformer-driven motion.
Motion graphics teams
Build layered broadcast animations
Layered assets ready for compositing
Teams prepare timeline-keyed layered elements with character components for compositing workflows.
Best for: Fits when character rigging teams need consistent shot-based control and export paths into realtime VTuber runtimes.
Cartoon Animator
SMBCartoon Animator creates and animates 2D characters using bones, facial controls, and motion tools.
Webcam tracking-to-expression mapping with parameterized face controls designed for live VTuber sessions
Cartoon Animator targets 2D VTuber rigging where Live2D-style deformation needs to stay responsive during realtime performance.
- +Parameter-based rigging keeps expressions consistent across repeated takes
- +Webcam tracking inputs integrate directly into live performance workflows
- +Layered artwork import supports practical character iteration without rework
- +Clip-based editing helps assemble repeatable action and emotion sequences
- –Advanced face refinement depends on manual parameter tuning beyond defaults
- –Complex rigs can become harder to manage without strict naming discipline
- –Retargeting between different drawing styles usually needs rebuild effort
- –Realtime streaming control relies on workflow conventions rather than an API
VTubers and avatar creators
Rig and animate responsive 2D facial performance
Editable responsive avatar animations
Facial performance animators
Turn webcam tracking into timeline edits
Revised facial animation clips
Show 2 more scenarios
Explainer video production teams
Reuse rig templates for character-led scenes
Faster consistent shot production
Build repeatable character explainers from prepared artwork, poses, and rig-based scene templates.
2D cutout animators
Assemble modular layers into rigged motion
Finished cutout-style animations
Convert layered parts into bone-rigged cutout scenes for animation without redrawing each frame.
Best for: Fits when a solo creator needs desktop webcam tracking and repeatable rig control for Live2D-style VTuber performance.
Adobe Character Animator
SMBAdobe Character Animator animates 2D puppets through webcam tracking, audio, and triggers.
Live puppeteering from webcam, mic, and trackers drives character parameters in real time with operator hotkeys.
Adobe Character Animator turns captured webcam and audio signals into real time 2D character motion inside a desktop runtime, which makes it distinct from mesh deformation tools built around authoring static rigs. It uses tracker-driven parameters for face and head movement, supports mouth movement from audio analysis, and can trigger animation via hotkeys and scene controls.
- +Tracker-driven face and mouth performance converts directly into animation timelines
- +Hotkey and scene controls let operators trigger actions during live takes
- +Layer-based character setup keeps iteration fast when art changes mid-rig
- +Works well for live streaming motion capture without an external tracker stack
- –Exporting a rig for Live2D-style mesh deformation in Unity or Unreal is limited
- –Precision mapping depends on artwork layer structure and consistent source alignment
- –Advanced physics and deform behavior are narrower than full 2D deformation authoring tools
- –Automation and API surface for rig generation is minimal for large studio pipelines
Solo VTuber creators
Stream realistic face and mouth motion
Faster character animation workflow
Live animation teams
Coordinate hotkey-driven scene gestures
Fewer interruptions on stage
Show 2 more scenarios
Unity and Unreal studios
Drive Live2D-style motion in-game
More natural avatar behavior
It provides performance-ready character motion that can feed expression control in real-time engines.
2D motion designers
Map layered artwork into behaviors
Consistent rig responses
It imports layered assets and uses built-in blink and gesture mapping to standardize rig behaviors.
Best for: Fits when single-operator or small teams need live webcam animation for a 2D VTuber workflow.
Synfig Studio
vertical specialistSynfig Studio is an open-source 2D animation tool with bone-based character rigging.
Synfig’s deformer-driven workflow builds mesh-style motion from layer geometry and node parameters.
Synfig Studio animates deformable 2D artwork by building scenes from vector-like layers and mesh-based deformations, not just frame-by-frame drawings. The software focuses on creating reusable parameter-driven motion using shapes, keyframes, and deformers that can produce smooth intermediate frames.
- +Deformation-based animation reduces manual in-between frame work
- +Mesh deformation tools support smooth shape changes for expressive characters
- +Layered scene graph enables reusable rig-like animation setups
- +Vector and bitmap compositing workflow fits typical illustration pipelines
- –Webcam tracking and realtime VTuber parameter control are not built in
- –Scene graph and deformer setup require careful rig planning
- –Export paths for Live2D-style runtime behavior need external glue
- –Fine-grained face parameter workflows take more manual authoring effort
Illustrators building VTuber avatars
Rig layered artwork for character motion
Reusable avatar motion takes
2D animators and small teams
Create reusable motion sequences
Faster iteration across scenes
Show 2 more scenarios
Compositing and rotoscoping artists
Animate spline mattes for overlays
Adjustable matte overlays
Artists trace and animate vector geometry so the resulting mattes stay editable across time and revisions.
UI designers
Build character-like looping UI animations
Editable motion loops
Designers create short looping motions with deformable shapes that can be revised without redraw cycles.
Best for: Fits when animation teams need deformable 2D rigs for iterative artwork, with external realtime tracking and engine integration.
VSeeFace
vertical specialistOffline VRM and Live2D avatar tracking application for VTubing.
Webcam-driven facial tracking that directly drives expression parameters in real time for continuous performance.
VSeeFace performs real-time 2D avatar driving by mapping facial and body inputs into Live2D-style parameter control for streaming and recording. It supports webcam-based and other input-driven tracking flows that feed into expression parameters, eye movement, and motion layers used in a desktop runtime.
- +Real-time face and motion parameter updates for consistent streaming behavior
- +Webcam tracking pipelines that drive expression parameters without manual keying
- +Live parameter previews help validate deformation and draw order before broadcasts
- +Hotkey-triggered actions speed up scene changes during rehearsed streams
- –Integration depth with Unity or Unreal is limited to model format workflows
- –Complex rigs need careful parameter tuning to avoid jitter and drift
- –Physics-like motion is less controllable than dedicated physics modules in engines
- –Layered artwork and draw rules can become hard to troubleshoot at scale
VTuber livestreamers and creators
Drive a VRM avatar from webcam tracking
Real-time tracked performance on stream
3D avatar rig testers
Tune expression mappings with live previews
More consistent expression parameter mapping
Show 2 more scenarios
Independent virtual puppeteers
Create responsive character motion from webcam
Fast puppeteering with less animation work
Animators use compatible tracking inputs to generate immediate facial and head-driven motion with minimal manual keyframes.
Live production teams
Rehearse expressions and staging before air
Repeatable avatar setup for broadcasts
Teams rehearse avatar performance details using continuous input updates before livestreaming or recording sessions.
Best for: Fits when a solo creator needs dependable live parameter control for a desktop streaming setup.
Inochi2D
vertical specialistInochi2D provides an open-source framework and editor for deformable 2D characters.
In-editor parameter mapping ties deformation and expression controls to a consistent runtime-ready parameter set.
Inochi2D targets 2D vtuber rigging with a parameter-driven workflow for deformations and expressions. The tool emphasizes creator-side rig building that can be exported for real-time use in streaming setups.
- +Parameter-centric rigging workflow maps cleanly to vtuber expression needs
- +Layered artwork handling supports practical art-to-rig iteration
- +Real-time friendly rig outputs fit streaming runtimes
- +In-editor controls speed up pose and modifier tuning
- –Physics simulation controls lack the depth found in specialized physics editors
- –Some advanced deformer chains take careful setup to avoid deformation artifacts
- –Runtime integration details can require manual configuration across setups
- –Large projects can feel slower during frequent rig edits
Independent 2D VTubers
Rigging new models for live streaming
Faster model iteration
2D character animators
Creating reusable face and body rigs
Consistent motion quality
Show 2 more scenarios
Small creator teams
Layered art workflow for rigging
Less rework per revision
Supports layered assets so teams can adjust parts without rebuilding the entire rig.
Technical VTuber riggers
Exporting rigs for real-time use
Stable live performance
Exports creator-side rigs designed for streaming setups with controllable parameters.
Best for: Fits when a solo creator or small team needs fast parameter-driven rig iteration for streaming.
Moho
SMBMoho provides 2D character rigging with bones, Smart Bones, and animation controls.
Per-asset mesh deformation controls that combine with bones for expressive stylized characters.
Moho delivers 2D character rigging for deformable characters through a timeline-based workflow and bone-driven animation. It supports layered art with custom meshes and multiple deformation behaviors for expressive poses and consistent stylization.
- +Bone and mesh deformation work together for character-specific control
- +Layered artwork supports production-friendly draw order and effects timing
- +Timeline rig animation stays editable for shot-level revisions
- +Vector and raster workflows can coexist in the same character setup
- –Advanced deformation setups take time to tune and maintain
- –Live webcam tracking and direct streaming control require extra tooling
- –Deep real-time game engine playback needs careful export planning
- –Automation is limited compared with scriptable animation pipelines
2D animation teams
Build reusable character rigs for episodes
Faster shot iteration
Motion designers
Animate character-led explainers with reusable poses
Consistent on-brand delivery
Show 2 more scenarios
Compositing artists
Prepare rigged 2D elements for compositing
Cleaner mixed-media composites
Artists output character elements designed for downstream compositing with controlled layering.
2D filmmakers
Create layered character animation for shorts
Editable short-film scenes
Filmmakers rig deformable characters for stylized movement and shot-specific timing adjustments.
Best for: Fits when teams need editable 2D rigs for shot production and character reuse across episodes.
Conclusion
After evaluating 12 2d vtuber rigging software, Rive 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.
Frequently Asked Questions About 2d Vtuber Rigging Software
How do webcam tracking inputs map to face and hand control in VTube Studio vs VSeeFace vs Adobe Character Animator?
Which toolchain supports conditional animation logic for expression changes and state transitions in Unity or Unreal?
When Live2D-style deformation needs to export as a reusable model, how do Live2D Cubism and Spine differ in their authoring-to-runtime paths?
What breaks if mesh deformation authoring is delayed until late production, given the workflows in Live2D Cubism and Moho?
How do teams handle layered artwork and PSD import when rig updates must stay consistent across many characters in Stretchy Studio and Toon Boom Harmony?
What API or integration surface exists for automating rig parameter control, and how does Rive compare with Spine?
How do VSeeFace and VTube Studio handle hotkeys, and what limitation appears when multiple operators need coordinated control?
When migrating an existing rig or parameter setup to a new tool, how do VTube Studio and Inochi2D approach mapping and iteration?
Which security controls matter when multiple staff members access projects, and what do common workflows lack in desktop rigging tools like Synfig Studio and Cartoon Animator?
Where does extensibility tend to fall short for tracking-driven tools, and what changes if physics simulation is required in Live2D Cubism or Moho?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
How to Choose the Right 2d Vtuber Rigging Software
In 2d vtuber rigging software, the real differentiator is how well the tool maps your 2D artwork into controllable motion through Live2D-style deformation and export-ready structure. We focus on labels you can verify in a demo, especially parameter setup and expression parameters.
Live2D-style deformation workflow
Why it matters
A consistent deformation workflow is what turns layered drawings into believable motion. If the tool handles art mesh and deformers predictably, you’ll spend less time fighting artifacts.
How to check
Import a sample character with separate parts and run a quick rig pass for one idle pose. Scrub the timeline while rotating and bending key joints; look for tearing at joins and odd warping.
Parameter setup flexibility
Why it matters
Parameter setup flexibility determines how many believable gestures and expressions you can reuse without rebuilding the rig. It also affects how quickly you can iterate when the model changes.
How to check
Open the parameter editor and add one custom control that changes a deform in the body. Ask the demo to show how parameters can be duplicated or adjusted without breaking existing mappings.
Expression parameters coverage
Why it matters
Expression parameters decide whether face work stays consistent across scenes and updates. Coverage matters most for eye-blink parameters and mouth-shape control that matches your art style.
How to check
Load an example expression set or create a minimal one for a smile and blink. Evaluate whether the control names are understandable and whether each expression reliably returns to neutral.
Tracking-to-parameter mapping
Why it matters
Tracking-to-parameter mapping determines how smoothly webcam tracking and face tracking drive your rig during performance. Poor mapping forces constant manual fixes and reduces motion quality.
How to check
Run a short webcam-driven preview and watch which parameters move. Confirm you can remap at least one tracking signal to a mouth-form parameter and one to an eye-blink parameter.
Physics simulation control
Why it matters
Physics simulation control affects whether hair, accessories, and clothing motion looks intentional rather than chaotic. Good physics simulation also stays stable across different animation speeds.
How to check
Enable physics simulation on a few movable elements and scrub between slow and fast gestures. Check whether pendulum physics behaves consistently and whether you can tune damping or strength without destabilizing the rig.
Model export and layer handling
Why it matters
Model export and layer handling decides whether the rig survives your production pipeline. If the tool preserves draw order and layered source artwork correctly, updates won’t scramble visuals.
How to check
Export the model and re-import it into the viewer/runtime used for performance. Verify draw order, clipping masks, and texture atlas output look the same, especially at the edges of hands and face.
Red flags
- Deformation tears or drifts when you scrub basic joint bends
- Expression parameters reset inconsistently or return to the wrong neutral pose
- Export breaks draw order or makes clipping masks look different in the viewer
Fit by situation
- If you plan to iterate character art often, prioritize Parameter setup flexibility.
- If you depend on webcam tracking, prioritize Tracking-to-parameter mapping.
- If your rig needs lively hair and accessories, prioritize Physics simulation control.
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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