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AI In IndustryTop 10 Best Music AI Software of 2026
Editorial roundup compares music ai software tools like Moises, Kits AI, and LANDR, outlining features and tradeoffs for musicians and producers.
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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Moises is the best overall pick for individual creators who need fast, remix-ready stems because one-click separation exports usable vocal and instrumental files with metadata support for practical editing, while Kits AI is the better alternative for singers and teams that want DAW-editable MIDI and stems for rapid arrangement iteration.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Moises
One-click upload to separated vocal and instrumental stems with export-ready files for remix work.
Best for: Fits when individual creators need quick stem separation and usable musical metadata.
Kits AI
Editor pickExport-first generation that returns DAW-editable MIDI and stems designed for rapid iteration on arrangements.
Best for: Fits when creators need AI-assisted MIDI and stem outputs that plug into an established DAW workflow.
LANDR
Editor pickAI mastering that targets finished mixes and returns production exports suited for immediate release workflows.
Best for: Fits when mixed audio needs fast mastering, optional stem cleanup, and export-ready WAV output.
Comparison Table
Moises
musician workflowAI music practice and editing software for stem separation, key detection, and track manipulation.
One-click upload to separated vocal and instrumental stems with export-ready files for remix work.
Moises focuses on audio-to-stems processing with a user workflow centered on uploading a track, selecting separation outputs, and exporting files for further production. It provides practical remix inputs like stems suitable for WAV export and additional musical metadata that supports arranging to a target grid. Tempo and key detection can reduce manual listening time when matching performances or planning chord changes.
A tradeoff appears in automation and integration depth because Moises is primarily operated through its interactive upload-export flow rather than a developer-first API for high-throughput pipelines. The best fit is a creator who needs fast vocal and instrumental stems for overdubs, content creation, or rehearsal practice, not a studio building an enterprise transcription and audio intelligence backend.
- +Fast stem extraction workflow for vocal and instrumental separation
- +Exports separated audio assets for remixing and post-processing
- +Tempo and key detection supports quicker arrangement alignment
- +Repeatable results for one-off track processing tasks
- –Limited automation surface for batch processing at production scale
- –DAW integration and routing controls are not the center of the workflow
- –Stems quality can vary by mix density and vocal bleed level
- –Advanced metadata export and structured music notation are not the focus
Content creators
Make vocal-backed overlays for videos
Cleaner edits and faster turnaround
Independent producers
Reconstruct a track for remixing
Tighter timing and harmony matches
Show 2 more scenarios
Songwriters
Practice ideas over isolated backing
Faster idea capture
Extract instrumental stems to write lyrics and melodies without vocal distraction.
Audio educators
Demo arrangement and listening skills
More targeted listening exercises
Use separated stems to teach how mix layers contribute to rhythm, tone, and focus.
Best for: Fits when individual creators need quick stem separation and usable musical metadata.
Kits AI
vocal specialistAI voice platform for singers, producers, and music teams creating vocal performances and conversions.
Export-first generation that returns DAW-editable MIDI and stems designed for rapid iteration on arrangements.
Kits AI targets creators and producers who need repeatable AI-assisted music generation workflows inside DAWs and creative pipelines. The core capabilities include audio generation and arrangement helpers that output project-ready assets like stems and MIDI for further editing.
Automation support centers on configurable generation settings and export formats that reduce manual cleanup between iterations. Governance and integration depth matter most when the workflow must fit into existing track naming, asset handoff, and review loops.
- +Generates exportable MIDI and stems for direct DAW editing
- +Configurable generation settings reduce repetitive manual steps
- +Production-oriented asset handoff supports faster iteration cycles
- +Works well for multi-try ideation with consistent output structure
- –Generative results can need cleanup to match tight arrangement standards
- –Advanced workflows depend on specific integration and export choices
- –Batch throughput can bottleneck during high-volume generation runs
- –Song-level consistency across long forms needs extra production passes
Musicians and vocalists
Prototype singing voice variants on demos
Faster vocal mockups
Producers and audio editors
Generate multiple vocal options for review
Quicker vocal selection
Show 2 more scenarios
Music creators and sound designers
Test vocal effects intensity and character
More vocal concepts
Vary vocal effect settings such as distortion and intensity to explore controlled alternate vocal directions.
Streamers and live performers
Switch converted voices during sessions
Rapid voice changes
Audition and use voice conversions during near-live moments for chat and live character work.
Best for: Fits when creators need AI-assisted MIDI and stem outputs that plug into an established DAW workflow.
LANDR
creative proMusic production platform with AI-assisted mastering, distribution, and creator workflow tools.
AI mastering that targets finished mixes and returns production exports suited for immediate release workflows.
LANDR turns recorded audio into production-ready outputs through its AI mastering workflow and automated music processing. The core capability centers on taking mixed tracks and generating mastered WAV exports with loudness normalization and tonal balancing.
LANDR also provides stem-oriented handling for creators who want cleaner separation before downstream editing. Its differentiator is staying inside an audio production pipeline rather than focusing on MIDI generation or DAW-native generative composition.
- +Automated mastering workflow designed for finished mixes, not sketch files.
- +Produces high-quality WAV exports with consistent loudness handling.
- +Stem processing supports targeted cleanup before final mix decisions.
- +Workflow stays centered on audio turnaround instead of MIDI-only tools.
- –No native MIDI generation or audio-to-MIDI transcription workflow.
- –Stem separation outcomes can require manual follow-up to match intent.
- –Advanced control is limited compared with DAW routing and plugin chains.
- –Integration depth outside upload-and-process workflows is constrained.
Artists and release teams
Update delivered release information
Updated release details
Independent artists and small labels
Package tracks for digital distribution
Distribution-ready package
Show 2 more scenarios
Musicians and music producers
Use sample library for production
Production-ready sample material
Draw from the included sample library while creating or developing music projects.
Artists and small labels
Master and organize multi-track releases
Masters packaged for release
Master multiple tracks for an EP or album and package them for release handoff.
Best for: Fits when mixed audio needs fast mastering, optional stem cleanup, and export-ready WAV output.
Udio
consumer creatorAI music creation platform for generating songs, vocals, and instrumentals from prompts.
Iterative in-session prompting that targets edits to song sections, keeping arrangement refinement inside one generation loop.
Udio is an AI music generator that focuses on producing complete songs from short prompts, with arrangements that refine across iterations. Its core workflow centers on generating vocals and instrumentals together, then reworking sections by prompting for edits rather than stitching in a DAW first.
- +Song-level generations from prompt text with repeatable iteration control
- +Integrated vocal and instrumental output suited for full-track concepts
- +Section-focused re-prompts for altering structure without external editing
- +Exports audio assets that drop into standard DAW workflows
- –Limited control over fine musical details compared with MIDI-first tools
- –Less suitable for strict session planning when deep DAW integration is required
- –Creative outcomes can vary widely for the same style description
- –Adjustment workflows favor prompt iteration over deterministic parameter tuning
Music producers and home studios
Draft full arrangements from prompts
Early arrangement options
Content and media teams
Create songs and background audio from descriptions
Custom audio assets
Show 2 more scenarios
Composers and creative teams
Compare genres and vocal approaches
Multiple styles to compare
Test different genres, moods, instrumentation, and vocal directions from one initial concept.
Audio editors and producers
Export generated renders for editing
Usable sources for mix
Export generated renders or separated parts as starting material for downstream editing and mastering.
Best for: Fits when creators need fast full-song drafts with integrated vocals and audio exports for DAW mixing.
AIVA
creative proAI composition software focused on original music for media, games, and video projects.
MIDI-first generation with structure and instrument constraints, enabling DAW edits before final audio render.
AIVA generates original music with controlled inputs such as style selection, instrumentation choices, and tempo targets for repeatable outputs. It offers MIDI-centric workflows so arrangements can be edited in a DAW before exporting or rendering.
- +Style and instrumentation controls produce faster iteration than fully free-form generation
- +MIDI export supports DAW-level editing of harmony, rhythm, and orchestration
- +Consistent render-to-render results when tempo and structure inputs are reused
- +Batch generation speeds up concepting for multiple cues with shared constraints
- –DAW integration is limited by export format fidelity rather than live sequencing
- –Advanced scoring workflows require manual cleanup for human performance nuance
- –Stems-level editing depth is limited compared with DAW-native multitrack construction
- –Genre control can feel coarse when the goal is highly specific arrangement logic
Content creators and editors
Generate instrumental drafts for edits
Background music options
Creative teams and music supervisors
Audition structure with quick renders
Faster review decisions
Show 2 more scenarios
Game developers and composers
Prototype themes for game soundtracks
Early theme concepts
Explore early soundtrack concepts with multi-part arrangements for prototype planning.
Advertising producers and agencies
Create cue drafts for commercials
Usable cue drafts
Generate music directions that can be used for spotting and creative review in ad campaigns.
Best for: Fits when producers need MIDI-ready composition drafts with repeatable tempo and orchestration controls.
Beatoven.ai
creator toolAI music software for generating mood-based background scores for videos and podcasts.
Variation generation that keeps arrangement timing consistent, which speeds selection across near-identical takes.
Beatoven.ai focuses on AI music generation through a prompt-to-finished-track workflow that targets creators who need quick iteration on musical style and mood. It produces complete audio exports and supports downstream edits via generated stems for section-level handling.
- +Stem-style outputs make section-level remixing practical in a DAW workflow.
- +Prompt controls reliably generate multiple variation takes for faster selection.
- +Exports support immediate placement into production projects without conversion steps.
- +Arrangement timing stays consistent across repeated generations.
- –Audio-only iteration limits how deeply MIDI-based editing fits into the workflow.
- –Mix detail can require extra production work for final loudness and balance.
Marketing and advertising teams
Generate ad music directions for selection
Quicker direction testing
Editors and production teams
Create temp music for rough cuts
Music-aware edit review
Show 2 more scenarios
Independent creators and composers
Turn briefs into structured draft ideas
More viable ideas
Convert creative prompts into structured musical drafts and compare different stylistic directions.
Video creators and editors
Match music drafts to video runtime
Ready-to-review score options
Generate review-ready music options aligned to video mood and pacing for cuts and scenes.
Best for: Fits when creators need fast prompt-to-track iterations and DAW-ready exports for editing.
Soundraw
creator toolAI music generator for custom background tracks with editable structure and mood controls.
Soundtrack-style iteration uses prompt and parameter re-rolls to converge on a target feel without manual composition from scratch.
Soundraw generates music from prompts with an editorial control workflow focused on selecting and refining short musical variations. Its strengths show up in fast iteration for creators who need royalty-safe production music building blocks without editing MIDI or arranging stems manually.
- +Prompt-to-audio workflow produces usable tracks quickly for content production
- +Variation controls support targeted rerolls without rebuilding sessions
- +Exported audio fits typical DAW playback and edit-in-timeline use
- +Genre and mood controls steer output closer to production music needs
- –Generation is audio-first, so MIDI-level editing is not the main path
- –Multi-track arrangement controls are limited compared with DAW-centric tools
- –API and automation options are not a core focus for pipeline integration
- –Detailed music theory constraints like strict chord voicings are not consistently enforceable
Podcasters, presenters, and educators
Generate intro and outro music beds
Supporting music for episodes
Editors and post-production teams
Export layers for downstream mixing control
More flexible mix control
Show 2 more scenarios
SMB content and brand teams
Maintain recurring brand music in consistent mood
Repeatable music pool
Generate instrumental assets in a consistent mood or genre for ongoing publishing formats.
Streamers and video creators
Test music directions for livestream clips
Multiple draft cues
Create quick draft cues for livestream and montage edits so energy and structure can be selected fast.
Best for: Fits when creators need fast prompt-driven audio drafts for videos, reels, and podcasts with minimal production overhead.
Soundful
creator toolAI music generation platform for royalty-free tracks, stems, and creator-focused music production.
Project workflow that organizes generated takes into exportable audio and music assets for DAW handoff.
Soundful targets music AI generation workflows that produce finished audio and reusable musical artifacts, not only text prompts. It centers on genre-conditioned composition and accompaniment generation, with exportable formats to move into a DAW timeline.
- +Genre-conditioned generation produces multiple arrangement options for quick iteration
- +Exportable outputs reduce friction when moving generated music into a DAW
- +Project organization keeps generated stems and takes easier to track across revisions
- +Prompt and parameter controls support repeatable results for consistent revisions
- –Advanced scoring control can be limited compared with full DAW-first composition
- –Batch throughput depends on queue availability rather than deterministic local processing
Video and social media creators
Generate background tracks for content
Audio ready to add
Small marketing teams
Compare soundtrack directions for campaigns
Several directions to review
Show 2 more scenarios
Independent producers and collaborators
Export drafts for external mixing
Exported handoff audio
Edit and export audio drafts for continued work in separate mixing or mastering workflows.
Beatmakers and music producers
Build drum patterns with step sequencing
Developable drum parts
Create and iterate on drum patterns using a browser sequencing workflow.
Best for: Fits when creators need genre-based music AI that outputs DAW-ready assets without manual rebuilding.
Mubert
API-firstAI music generation platform for royalty-free tracks, streams, and developer integrations.
Mubert API enables software-controlled generation and delivery of adaptive background music for digital products.
Content creators can produce background tracks without arranging every instrument manually. Mubert Render provides generation controls for mood, genre, activity, tempo, and duration, while downloadable audio supports video, podcast, advertising, and social-media workflows. The API extends these controls into apps, games, and other products that need music generated or selected through software.
- +Generates tracks from practical mood, genre, tempo, activity, and duration controls
- +Mubert API supports programmatic music delivery inside apps and games
- +Covers creator licensing workflows for video, podcasts, advertising, and social content
- +Produces usable background music without requiring manual arrangement
- –Offers limited note-level and instrument-level control over generated arrangements
- –Does not match DAW tools for detailed MIDI editing and composition
- –API projects require separate implementation work for playback and account controls
Short-form video teams
Generate social video background tracks
Faster content soundtrack production
Mobile app developers
Add dynamic in-app background music
Programmatic audio experiences
Show 2 more scenarios
Podcast producers
Create episode intros and beds
Consistent episode sound
Producers generate mood-specific audio beds for openings, transitions, and spoken-word segments.
Advertising agencies
Build campaign music variations
More campaign audio options
Creative teams generate multiple tempo and mood variations for advertisements across different edits.
Best for: Fits when creators and product teams need quickly generated background music with API-based delivery.
Boomy
consumer creatorAI music platform for generating tracks quickly and publishing them through creator workflows.
Automatic lyric-aware full song composition that produces structured, export-ready tracks without manual arrangement building.
Boomy generates full compositions end-to-end, with built-in structure such as verses and choruses and automatic lyric handling. The output is designed for fast iteration, so producers can produce multiple takes per concept and audition them before committing to a final master. The tool’s main fit is creator workflows that value speed and repeatable variation over deep sound design control.
- +End-to-end song generation with lyrics and structure in one workflow
- +Batch iterations support rapid concept testing and directional rerolls
- +Export-ready audio for immediate DAW pickup and remixing
- +Fast rendering cycle supports high-throughput creation sessions
- –Song-level output limits granular arrangement editing inside Boomy
- –Custom instrumentation control is thinner than DAW-first AI tools
- –MIDI output coverage depends on the generation mode used
- –Advanced governance and team review tooling are minimal
Independent singer-songwriters
Write lyrics to fast song drafts
Faster path to release-ready drafts
Electronic producers
Prototype arrangements before sound design
Quicker iteration on song form
Show 2 more scenarios
Content teams
Produce background music variations in bulk
Higher throughput for asset libraries
Generate multiple takes per concept to cover different moods and pacing for short-form media.
Remix artists
Source stems-style layers for edits
Less time spent on arrangement setup
Bring rendered audio into projects and reshape sections without rebuilding the track from scratch.
Best for: Fits when creators need rapid song drafts with lyrics and arrangement, then finalize in a DAW.
Conclusion
After evaluating 10 music ai software, Moises 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 Music Ai Software
Music AI software in this guide spans end-to-end song generation, MIDI-first composition, and production workflows like stem separation, export handoff, and mastering. The tools covered include Boomy, Udio, AIVA, Soundraw, and Soundful, plus Mubert for API-driven music delivery, Moises for one-click vocal and instrumental stems, Beatoven.ai and LANDR for prompt-to-audio iterations and finished-mix mastering, and Kits AI for export-first MIDI and stems. These entries are compared on generation control depth, automation surface, and how reliably outputs land inside a producer workflow.
Boomy focuses on lyric-aware full song composition with structured, export-ready tracks, while Kits AI emphasizes export-first DAW-editable MIDI and stems. Mubert shifts the category toward programmatic background music generation and delivery through an API, and Moises centers stem extraction for remix-ready assets. Across the list, the strongest differentiators show up in iteration loops, how much MIDI-level editing is supported, and how tightly each workflow fits DAW handoff.
Music AI Software for DAW-ready composition, stems, and API delivery
Music AI software uses generative engines to create music content from prompts or analysis, then returns outputs like audio tracks, vocal and instrumental stems, and DAW-editable MIDI. Tools like Boomy and Udio center song-level generation with structured outputs and integrated vocals, which supports fast draft cycles before DAW refinement. AIVA and Kits AI focus more on MIDI-first or export-first workflows, returning MIDI that producers can edit directly in their DAW before final audio render.
This guide also includes category variants that operate earlier or later in the pipeline. Moises runs one-click stem separation to extract usable vocal and instrumental assets for remixing, and LANDR applies AI mastering that targets finished mixes and returns production exports in WAV format. Mubert adds an API-based delivery model for teams that need background music generated from controls like mood, genre, tempo, and duration.
Integration depth, automation surface, and DAW handoff reliability
Music AI software succeeds or fails based on how reliably outputs enter an existing production workflow. DAW handoff depends on what the tool exports, how iteration is managed, and how much control stays available after generation.
DAW-editable output formats for the next production stage
Kits AI returns exportable MIDI and stems designed for direct DAW editing. AIVA is MIDI-first and exports composition drafts that producers can refine in a DAW before audio render.
Iteration loop control that targets edits at the right granularity
Udio keeps refinement inside an edit-focused generation loop that targets song sections. Boomy performs lyric-aware full song composition with structured output so rerolls stay aligned to a complete song draft.
Automation surface for non-interactive or software-controlled delivery
Mubert provides an API for programmatic music generation and delivery into digital products. Moises focuses on one-click stem extraction, but it does not center batch automation for production-scale workflows.
Stems and remix-ready assets for section-level rearrangement
Moises exports separated vocal and instrumental stems for remix work with a fast extraction workflow. Beatoven.ai returns stem-style outputs that make section-level remixing practical inside a DAW.
Project organization that reduces export friction for DAW handoff
Soundful uses a project workflow that organizes generated takes into exportable audio and music assets. Soundraw iterates via prompt and parameter rerolls, but its audio-first path makes MIDI-level editing secondary.
Finished-mix readiness and mastering-focused pipeline stages
LANDR applies AI mastering to finished mixes and returns WAV exports for immediate release workflows. LANDR lacks a native MIDI generation or audio-to-MIDI transcription path, so it is positioned after composition and arrangement.
Choose by workflow phase, then confirm control depth at handoff
The first decision is the phase where the workflow needs the most leverage. Lyric-driven full song drafts, MIDI-first composition, stem extraction, prompt-to-audio for content production, and mastering each map to different output expectations.
Start with the phase that needs the least manual assembly
If the goal is structured full-song drafts from lyrics, Boomy generates an end-to-end song with lyrics and form in one workflow. If the goal is software-controlled background music delivery inside games and apps, Mubert’s API supports generation from mood, genre, tempo, and duration.
Pick the iteration granularity that matches edit intent
If edits must target specific song sections inside one refinement loop, Udio supports iterative in-session prompting that refines sections. If the workflow needs MIDI to support deep editing before audio render, AIVA focuses on MIDI-first generation with instrument and structure constraints.
Verify that export-ready assets land where the DAW will edit
If DAW editing depends on MIDI files and stems, Kits AI emphasizes export-first outputs for rapid arrangement iteration in an established DAW workflow. If remixing relies on separated audio sources, Moises runs one-click stem extraction that produces usable vocal and instrumental stems.
Decide whether variation selection is a core workflow
If the team selects among many near-identical takes to find a final direction, Beatoven.ai generates prompt variations that keep arrangement timing consistent to speed selection. If the workflow converges toward a target feel through prompt and parameter rerolls, Soundraw is built around audio-first iteration for content production.
Match orchestration control needs to the tool’s output type
If producers want faster orchestration iteration with editability, AIVA produces MIDI drafts that can be cleaned up for human nuance in a DAW. If advanced scoring control is less critical than genre-conditioned options and quick DAW handoff, Soundful focuses on exportable assets from genre-based generation.
Who benefits from Music AI Software built for drafting, exporting, or automation
Creator workflows split by how much arrangement work must happen after generation. Some teams want a tool that generates a structured song draft, while others need MIDI or stems to keep arrangement decisions under DAW control.
Creators who draft songs from lyrics and want quick DAW refinement
Boomy generates structured, export-ready tracks with lyric awareness so complete drafts are available for DAW finishing without building arrangement manually.
Producers who need MIDI-first composition drafts for detailed editing
AIVA and Kits AI both return DAW-editable outputs that fit producers who want harmony, rhythm, and orchestration shaped inside a sequencer.
Remixers and sound designers who need isolated parts from existing audio
Moises focuses on one-click vocal and instrumental stem separation with export-ready assets for remixing and post-processing.
App and game teams embedding background music generation
Mubert’s API supports software-controlled music generation and delivery so music can change based on controls like mood, genre, tempo, and duration.
Mixing-focused workflows that need release-ready mastering exports
LANDR targets finished mixes and returns production exports in WAV format, which aligns with workflows that already have arrangement and tracking done.
Common selection pitfalls in Music AI Software buying
Many mismatches come from expecting one tool type to cover a later pipeline stage. A clear output path and iteration loop matter more than generation quality alone.
Choosing an audio-first generator when the workflow requires DAW-level MIDI editing as the primary control surface
Soundraw and Udio focus on audio outputs and section-level refinement, so they do not align with MIDI-first editing needs the way AIVA or Kits AI align with MIDI drafts.
Picking a stem separator as a full automation solution for large batch pipelines
Moises delivers one-click stem extraction, but it does not center automation surface for batch processing at production scale, which can bottleneck teams.
Expecting mastery or release-ready polishing to include MIDI generation or transcription
LANDR is designed for AI mastering of finished mixes and WAV exports, and it does not provide native MIDI generation or audio-to-MIDI transcription.
Assuming every tool’s exports support deterministic DAW batching without workflow friction
Soundful’s project workflow organizes exportable assets, but its batch throughput depends on queue availability instead of deterministic local processing, which affects pipelines that assume consistent timing.
How We Selected and Ranked These Tools
We evaluated Boomy, Mubert, Moises, Udio, AIVA, Soundraw, Beatoven.ai, Soundful, LANDR, and Kits AI on a split score where features account for 40 percent, ease accounts for 30 percent, and value accounts for 30 percent. Boomy led the ranking because it combines lyric-aware full song composition with structured export-ready output in one workflow, which reduces manual arrangement assembly.
Boomy’s batch iterations support rapid concept testing and directional rerolls, which increases throughput for creators who try multiple directions. Mubert scored strongly where API-driven delivery matters, while Moises scored where stem extraction speed is the core need and where broad DAW routing and automation were not the center of the product experience.
Frequently Asked Questions About Music Ai Software
How do Melobytes and Kits AI differ in DAW handoff formats?
Which tool is best for stem separation workflows: Moises or LANDR?
How does an API-driven workflow change usage for Mubert compared with creator-focused generators?
When does in-session iteration matter more in Udio than in Boomy?
What breaks if a production workflow requires MIDI-first editing: AIVA versus Soundful?
Which tool supports integration into a larger project pipeline with project-based organization: Soundful or Beatoven.ai?
How do Kits AI and Melobytes handle automation around repeated generation and cleanup?
What security and governance controls should be verified when using an AI music tool for team work?
Where does Mubert’s role fall short compared with DAW-native generative workflows?
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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