
GITNUXSOFTWARE ADVICE
Data Science AnalyticsTop 10 Best Forecasting and Planning Software of 2026
Top 10 roundup of forecasting and planning software options with ranking criteria, feature tradeoffs, and fit notes for finance and operations teams.
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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OneStream is the best choice when finance teams need governed driver-based planning with scenario simulation across multiple hierarchies, whereas Anaplan is the steadier fit for planning groups that want controlled collaboration and reusable driver logic across rolling forecasts.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
OneStream
A single governed environment ties planning submissions, scenario simulation, and consolidation outputs to shared structures.
Best for: Fits when finance teams need governed driver-based planning with scenario simulation across multiple planning hierarchies.
Anaplan
Editor pickModel-backed workspaces that keep scenario logic and collaborative planning actions tied to the same underlying model.
Best for: Fits when planning teams need controlled collaboration and reusable driver logic across rolling forecasts.
Float
Editor pickScenario simulation built into the planning workflow so teams compare versions without exporting to separate tools.
Best for: Fits when S&OP teams need driver-based rolling forecasts with collaborative scenario comparison.
Comparison Table
OneStream
enterpriseCorporate performance management platform unifying financial close, consolidation, and planning.
A single governed environment ties planning submissions, scenario simulation, and consolidation outputs to shared structures.
OneStream is used when finance needs one planning process that stays consistent from bottom-up submissions through hierarchy aggregation and consolidated reporting outputs. The system supports scenario simulation so teams can run alternative assumptions for promotions, demand, and capacity constraints while tracking forecast reconciliation against baseline results. Workflow features support collaborative planning workbook handoffs and review cycles with controlled approval paths tied to user roles and permissions.
A common tradeoff is that deeper automation and governance require disciplined setup of dimension structures, submission rules, and integration mappings so that rolling forecast logic behaves predictably across time buckets. OneStream fits teams running consensus forecast processes who need repeatable exception-based planning motions and clear audit trails across planner roles.
- +Strong scenario simulation with controlled submission workflows
- +Integration connectors support planning inputs and consolidated outputs
- +Governance features support role-based access and audit visibility
- +Extensible automation for repeatable rolling forecast cycles
- –Dimension and workflow setup demands planning governance discipline
- –Advanced configuration can slow early iteration for new planning use cases
FP&A finance teams
Rolling forecast with scenario simulation
Faster plan updates
Supply planning analysts
Forecast reconciliation to operations inputs
Fewer forecast surprises
Show 1 more scenario
Corporate consolidation owners
Hierarchy aggregation for consensus planning
Cleaner consolidation cycle
Regional planners submit bottom-up work that aggregates into controlled reporting structures.
Best for: Fits when finance teams need governed driver-based planning with scenario simulation across multiple planning hierarchies.
Anaplan
enterpriseCloud-based connected planning platform for enterprise financial forecasting and scenario modeling.
Model-backed workspaces that keep scenario logic and collaborative planning actions tied to the same underlying model.
Anaplan fits teams that need controlled collaboration between finance, operations, and commercial planning because it structures planning work around model-backed workspaces and reusable logic. The platform’s scenario simulation and hierarchy aggregation help teams run constrained vs unconstrained plan comparisons while maintaining consistent rollups across geographies, products, and cost centers. The main tradeoff is governance depth and configuration discipline, because getting reliable outputs depends on maintaining module mappings, versioned planning workbooks, and integration rules.
Anaplan works best when forecasting teams must reconcile top-down targets with bottom-up inputs and then iterate through exception-based planning cycles. Scenario testing is practical when planning changes must be assessed repeatedly, but the effort to maintain a clean data model and dependable refresh routines increases as the number of integrations and planning workspaces grows.
- +Scenario simulation stays connected to shared planning workspaces
- +Hierarchy aggregation supports consistent rollups across multiple organizational views
- +Driver-based planning logic reduces manual spreadsheet reconciliation
- +Model-backed work management supports structured collaboration
- –Complex configuration increases time to production-grade governance
- –Advanced modeling often requires specialized training for builders
Finance planning teams
Reconcile forecasts with driver-based targets
Faster forecast reconciliation cycles
Supply chain planners
Run constrained capacity tradeoffs
Clearer plan tradeoffs
Show 2 more scenarios
Commercial operations
Coordinate consensus demand planning
Consistent consensus forecast
Commercial teams gather bottom-up inputs and align them to hierarchical rollups during consensus forecast iterations.
Enterprise architects
Maintain model integrity across integrations
Fewer integration mismatches
Architects enforce configuration standards for mappings and refresh logic to keep planning data consistent end to end.
Best for: Fits when planning teams need controlled collaboration and reusable driver logic across rolling forecasts.
Float
SMBCash flow forecasting and planning software for finance teams and advisors.
Scenario simulation built into the planning workflow so teams compare versions without exporting to separate tools.
Float is a planning workspace where updates happen inside structured planning workflows, not only through imported spreadsheets. It supports driver-based planning and rolling forecast behavior for changing assumptions over time. It also enables scenario simulation so teams can compare plan versions and then carry forward decisions.
Float’s tradeoff is that deeper supply planning and constraint-heavy optimization workflows may need stronger integration with downstream systems that execute MRP and scheduling. Float fits best when S&OP teams need collaborative forecast ownership, fast iteration on drivers, and clear sign-off on what changed from one planning cycle to the next.
- +Scenario simulation on the same planning workflow as driver updates
- +Hierarchy-aware aggregation for demand and region planning
- +Rolling forecast updates support ongoing assumption changes
- +Reconciliation workflows reduce drift between versions
- –Constrained vs unconstrained plan workflows can depend on external execution
- –Advanced data governance takes planning model discipline from admins
S&OP managers
Run rolling forecast scenarios
Faster consensus forecast cycles
Revenue operations teams
Model promotion uplift impacts
More consistent demand assumptions
Show 2 more scenarios
Supply planners
Reconcile forecast to allocation plans
Less plan drift across teams
Teams align demand plans to available capacity signals and track differences across planning versions.
FP&A analysts
Maintain versioned driver assumptions
Cleaner audit trail of changes
Analysts update statistical baselines and driver inputs, then reconcile changes during each rolling cycle.
Best for: Fits when S&OP teams need driver-based rolling forecasts with collaborative scenario comparison.
Blue Yonder
enterpriseSupply chain planning software covering demand forecasting, replenishment, inventory, and capacity planning.
Forecast reconciliation ties demand outputs into supply planning constraint logic so planners can resolve mismatch by scenario.
Blue Yonder brings supply planning and demand forecasting together through an end-to-end planning suite built for retailers and manufacturers. It combines statistical forecasting with driver and scenario capabilities to support S&OP style consensus across product and location hierarchies.
- +Strong statistical baseline forecasting tuned for item and location hierarchies
- +Scenario simulation supports consensus planning with structured workbook workflows
- +Forecast reconciliation connects demand outputs to constrained supply planning decisions
- +Automation options fit recurring rolling forecast and S&OP cadences
- –Configuration depth can slow initial rollout without planning-discipline
- –Some advanced modeling workflows depend on specialized configuration and training
- –Exception handling is capable but can feel process-heavy for smaller organizations
- –API coverage is present, but integration throughput can require vendor-assisted mapping
Best for: Fits when enterprises need recurring forecast-to-plan governance across hierarchies and measurable reconciliation.
Planful
enterpriseContinuous planning platform for financial close, consolidation, budgeting, and forecasting.
Planful’s planning workspace model ties assumptions, calculations, approvals, and scenario outputs to the same governed planning record.
Planful runs enterprise planning cycles that connect forecasting, budgeting, and performance management to shared workspaces for finance and operations. It supports driver-based planning with structured workflows for building forecasts, reconciling results across hierarchies, and running scenario simulations for decision tradeoffs.
- +Driver-based planning workflows connect assumptions to published forecasts
- +Scenario simulation supports constrained tradeoffs across planning periods
- +Governance features include approval routing and change audit trails
- +ERP and data source connectors support recurring planning data loads
- –Model setup needs careful configuration to match chart of accounts and hierarchies
- –Advanced automation often requires dedicated planning design work
- –Some collaboration features depend on workbook-style templates for repeatability
- –Performance tuning can be needed for large multi-entity scenarios
Best for: Fits when finance teams need driver-based forecasting, scenario simulation, and controlled collaboration across a planning hierarchy.
ToolsGroup
vertical specialistSupply chain planning software for demand forecasting, inventory optimization, and replenishment.
Integrated reconciliation that propagates forecast changes across hierarchies and aligns collaborative inputs into a single planning outcome.
ToolsGroup is a forecasting and planning suite designed for integrated demand and supply use cases that move beyond static spreadsheets. The platform supports driver-based planning workflows, scenario simulation, and reconciled forecasts across product and channel hierarchies. It also focuses on automation for planning cycles by connecting enterprise systems and coordinating collaborative inputs into scheduled planning outputs.
- +Tight workflow support for driver-based planning with measurable forecast governance
- +Scenario simulation enables constrained tradeoffs between demand assumptions and supply choices
- +Exception-based planning patterns reduce manual effort for long tail items
- +ERP integration options support data flow for planning refreshes and downstream consumption
- –Setup work is heavy for multi-entity hierarchies and reconciliation rules
- –Collaborative workbook style needs training for planners used to pivot tables
- –API automation depth depends on integration scope and module selection
- –Rolling forecast configuration can become complex when assumptions vary by channel
Best for: Fits when planning teams need driver-based forecasting with scenario workflows and reconciliation across hierarchies.
Netstock
SMBCloud inventory planning software for demand forecasting, replenishment, and stock management.
Forecast review and scenario comparison workflows that keep statistical baselines and analyst edits in the same governed planning cycle.
Netstock focuses on forecasting and planning with guided workflows for demand capture, forecast review, and supply readiness inside a single planning cycle. It emphasizes hierarchical rollups and scenario work so teams can compare statistical baselines with human adjustments before committing to a plan. Netstock also centers on collaborative planning workbooks for cross-functional consensus and uses a structured exception model to drive follow-up actions.
- +Structured forecast review workflow with repeatable steps
- +Hierarchy-based rollups for managing plans across product and location trees
- +Collaborative planning workbooks for shared ownership of forecast changes
- +Scenario comparison supports controlled what-if planning before commitment
- –ERP integration depth depends on connector coverage for specific source fields
- –Driver-based planning requires careful data mapping to avoid inconsistent outputs
- –Scenario proliferation can slow review cycles without disciplined ownership
- –Governance controls need upfront design for roles, locks, and audit trail expectations
Best for: Fits when mid-market operations teams need structured forecast review, hierarchy rollups, and scenario-based signoff workflows across planning teams.
Kinaxis Maestro
enterpriseConcurrent planning software for supply, demand, inventory, and production decisions.
The Rapid Response planning loop uses prioritized, exception-driven actions to accelerate forecast and supply plan iterations across planning cycles.
Kinaxis Maestro is a planning and forecasting system built around synchronized enterprise workflows for S&OP and supply planning. It supports statistical baselines and driver-based adjustments, then pushes changes through scenario simulation and exception-based review.
- +Collaborative scenario simulation for consensus-ready planning changes
- +Exception-based planning review reduces manual follow-up churn
- +Strong hierarchy aggregation for multi-site and multi-level rollups
- +Workflow-centric planning cycles support S&OP and supply planning alignment
- –Time-to-value increases with complex planning hierarchies and rules
- –Some advanced analytics depend on configuration and external data preparation
- –API-based integrations require careful mapping of planning objects and attributes
- –Workbook-style user collaboration can become hard to manage at scale
Best for: Fits when enterprise teams need coordinated S&OP and supply planning with repeatable scenario workflows.
Lokad
API-firstCloud software for probabilistic forecasting and supply chain optimization.
Lokad’s executable planning logic model supports scenario simulation and rolling forecast recomputation from shared, versioned computations.
Lokad converts forecasting and planning inputs into executable workflows, then runs rolling updates so forecasts stay synchronized with operational assumptions. Its core strength is an extensibility model that turns planning logic into reusable computations and scenario variations rather than spreadsheet-only steps.
- +Execution-first planning logic that runs rolling forecast updates
- +Extensible computation model for scenarios and reusable planning logic
- +Integration surface for bringing ERP data into planning workflows
- +Governance anchored to the planning artifacts that drive outputs
- –Modeling requires stronger developer skills than workbook-based tools
- –Deep customization can increase change-management overhead
- –Scenario comparison workflows depend on how models expose variables
- –Exception planning often needs disciplined process design
Best for: Fits when teams want executable forecasting logic, scenario simulation, and ERP-connected planning cycles with governance over model changes.
o9 Solutions
enterpriseEnterprise software for demand planning, supply planning, S&OP, and integrated business planning.
o9 Solutions pairs driver-based modeling with managed scenario execution to keep demand assumptions, versions, and reconciled outputs consistent across cycles.
o9 Solutions focuses on forecasting and planning workflows that connect data from ERPs and planning systems into managed scenarios and planning cycles. Its core value comes from driver-based modeling, structured demand planning, and cross-functional planning processes that move beyond spreadsheets.
- +Strong driver-based planning for causal demand and assumption changes
- +Scenario simulation supports structured what-if comparisons across planning cycles
- +Integration centric design supports ERP connector workflows and master data alignment
- +Planning governance features help manage versions and planning cycle consistency
- –Modeling and integration setup requires specialist effort to get clean results
- –User interface depth can feel heavy for teams that expect spreadsheet-first workflows
- –Exception handling requires disciplined definitions to avoid noisy approvals
- –Advanced planning logic often depends on configuration choices that take time
Best for: Fits when enterprise teams need managed forecasting cycles, driver modeling, and scenario reconciliation across business units.
Conclusion
After evaluating 10 forecasting and planning software, OneStream 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 Forecasting and Planning Software
Forecasting and planning software brings demand forecasting, supply planning, and scenario simulation into governed workflows that planning teams can run repeatedly. This guide covers OneStream, Anaplan, Float, Blue Yonder, Planful, ToolsGroup, Netstock, Kinaxis Maestro, Lokad, and o9 Solutions.
The selection choices concentrate on integration depth, the way each product ties scenario logic to shared planning records, and how admins control submissions, hierarchies, and reconciliation outcomes across planning cycles. These tools also differ in where scenario comparison happens and how much modeling or configuration effort is required to reach production-grade governance.
Forecasting and Planning Software for governed scenarios, reconciled plans, and repeatable cycles
Forecasting and planning software supports rolling forecasts and scenario simulation by connecting assumptions, statistical outputs, and planning hierarchy rollups into a runbook planners can execute across time. OneStream centralizes scenario simulation, planning submissions, and consolidation outputs inside a governed environment that keeps shared structures consistent across use cases.
Anaplan focuses on model-backed workspaces that keep collaborative planning actions and scenario logic tied to the same underlying model, which supports controlled iteration during rolling forecast updates. Float places scenario simulation directly in the planning workflow so teams compare versions without shifting to separate tools, while Blue Yonder links forecast reconciliation into supply constraint logic to resolve mismatches by scenario.
Core capabilities to compare in Forecasting and Planning Software
Forecasting and planning software must connect forecast generation, scenario simulation, and plan outcomes inside workflows that teams can rerun across planning cycles. Buyers should compare how each platform ties scenario logic to shared structures so the same hierarchy and assumptions drive reconciliation results.
The biggest differences show up in integration depth, automation and API surface, and governance controls for submissions and scenario governance. OneStream, Anaplan, Float, Blue Yonder, Planful, ToolsGroup, Netstock, Kinaxis Maestro, Lokad, and o9 Solutions each place that control depth at different points in the planning loop.
Governed scenario lifecycle and submission structure
OneStream supports a single governed environment that ties planning submissions, scenario simulation, and consolidation outputs to shared structures. Anaplan keeps scenario logic and collaborative planning actions connected to the same underlying model so teams run controlled iterations during rolling forecasts.
Scenario simulation placement inside the planning workflow
Float builds scenario simulation directly into the planning workflow so teams compare versions without exporting to separate tools. Kinaxis Maestro uses the Rapid Response planning loop with exception-driven actions to speed up forecast and supply plan iteration within coordinated S&OP cycles.
Forecast-to-supply reconciliation behavior across hierarchies
Blue Yonder ties forecast reconciliation into supply planning constraint logic so planners resolve mismatch by scenario. ToolsGroup provides integrated reconciliation that propagates forecast changes across hierarchies and aligns collaborative inputs into a single planning outcome.
Driver-based planning model and workbook tying assumptions to outcomes
Planful’s planning workspace model ties assumptions, calculations, approvals, and scenario outputs to the same governed planning record. o9 Solutions pairs driver-based modeling with managed scenario execution so demand assumptions, versions, and reconciled outputs stay consistent across cycles.
Hierarchy aggregation and rollups for consistent planning views
Anaplan uses hierarchy aggregation to support consistent rollups across multiple organizational views. Netstock provides hierarchy-based rollups that manage plans across product and location trees during forecast review and scenario comparison.
Execution logic approach for rolling forecast recomputation
Lokad uses an executable planning logic model that runs rolling forecast updates from shared, versioned computations. OneStream instead centralizes scenario simulation, planning submissions, and consolidation outputs inside a governed environment that keeps shared structures consistent across use cases.
Decision framework for selecting Forecasting and Planning Software
Buyers should start with where scenario logic lives and who needs to change it. The right platform matches the organization’s planning workflow with how scenario comparisons, approvals, and reconciliation outputs are produced.
The second fork is how the solution handles constrained tradeoffs and mismatch resolution. Some tools embed reconciliation into the planning loop while others rely on external execution behavior for constrained versus unconstrained outcomes.
Choose the scenario authority model
Pick OneStream when finance needs a single governed environment that connects planning submissions, scenario simulation, and consolidation outputs to shared structures. Pick Anaplan when planning teams need model-backed workspaces where collaborative planning actions and scenario logic stay tied to the same underlying model.
Place scenario comparison into the daily workflow
Pick Float when S&OP teams need scenario simulation inside the planning workflow so versions can be compared without shifting to separate tools. Pick Kinaxis Maestro when enterprise teams want a coordinated Rapid Response loop that uses exception-driven actions for consensus-ready planning changes.
Validate how reconciliation resolves forecast and supply mismatches
Pick Blue Yonder when forecast reconciliation must tie into supply constraint logic so mismatch resolution can be executed by scenario. Pick ToolsGroup when reconciliation must propagate forecast changes across hierarchies and align collaborative inputs into one planning outcome.
Assess constraint handling and external dependency risk
Pick Float when driver updates and scenario comparisons must happen in one workflow and accept that constrained versus unconstrained plan workflows can depend on external execution. Pick Kinaxis Maestro when exception-driven planning review must reduce manual follow-up churn during coordinated S&OP cycles.
Match governance maturity to model setup effort
Pick OneStream when dimension and workflow setup can be governed through planning discipline and shared structures. Pick Netstock when structured forecast review and repeatable steps matter for mid-market operations teams even if ERP integration depth depends on connector coverage for specific source fields.
Choose between configuration-first and executable-logic planning
Pick Lokad when planning logic must run as executable computations that support rolling forecast recomputation from shared, versioned logic. Pick o9 Solutions when managed forecasting cycles must run with specialist-driven modeling and scenario reconciliation across business units.
Who should buy Forecasting and Planning Software
Organizations should buy forecasting and planning software when demand forecasting and supply planning decisions must repeat across cycles with controlled scenario governance and reconciliation outputs. The buying fit depends on whether planners need to work inside a shared model, inside the same workflow as scenario simulation, or inside a managed exception-driven loop.
Teams also need a match between integration expectations and the platform’s dependency on setup discipline. The tools below serve different operational profiles from finance-led governance to operations-led forecast review and developer-led executable logic planning.
Finance teams that own governed planning submissions and consolidation outputs
OneStream centralizes scenario simulation, planning submissions, and consolidation outputs inside a governed environment so finance can enforce shared structures. Planful also ties assumptions, calculations, approvals, and scenario outputs to the same governed planning record.
Planning groups that require controlled collaboration with reusable scenario logic
Anaplan keeps scenario logic and collaborative planning actions connected to the same underlying model so teams can run controlled iterations during rolling forecasts. Planful connects driver-based planning workflows to published forecasts and supports constrained tradeoffs across planning periods.
S&OP and supply planning teams that need scenario comparison as part of day-to-day work
Float builds scenario simulation directly into the planning workflow so version comparisons stay in the same environment as driver updates. Kinaxis Maestro supports consensus-ready planning changes with the Rapid Response loop and exception-based planning review.
Enterprise supply planning teams that must reconcile demand with supply constraints
Blue Yonder ties forecast reconciliation into supply planning constraint logic so mismatches can be resolved by scenario. ToolsGroup provides integrated reconciliation that aligns collaborative inputs into a single planning outcome.
Mid-market operations teams that need repeatable forecast review and scenario signoff
Netstock supports structured forecast review and scenario comparison workflows that keep statistical baselines and analyst edits in the same governed planning cycle. The hierarchy-based rollups in Netstock help manage plans across product and location trees.
Common pitfalls when buying Forecasting and Planning Software
Buyers often misjudge governance and setup effort because forecasting and planning software needs structured hierarchies, submission rules, and reconciliation logic that align with real organizational reporting. Teams also misjudge where constrained tradeoffs will be computed versus where they will be executed externally.
A second common issue is choosing a scenario workflow that fits a different planning role. Some platforms center scenario simulation inside the planning workflow while others center model-backed workspaces or executable logic planning, and each approach changes how planners and admins collaborate.
Assuming scenario governance will work without strong dimension and workflow discipline
OneStream demands dimension and workflow setup governance discipline for planning governance and submission workflows. Anaplan increases time to production-grade governance when configuration complexity is not matched to builder training plans.
Choosing tools that show scenario simulation but not reconciliation behavior tied to constraints
Blue Yonder connects forecast reconciliation into supply constraint logic, which matters when mismatch resolution must be scenario-driven. ToolsGroup focuses on integrated reconciliation propagation across hierarchies, which matters when collaborative inputs must converge into one planning outcome.
Treating constrained versus unconstrained planning as uniformly handled inside every workflow
Float includes scenario simulation in the planning workflow but constrained versus unconstrained plan workflows can depend on external execution. Kinaxis Maestro accelerates iteration with exception-based planning review, which can reduce manual churn but still requires the right planning rules configuration.
Underestimating integration connector coverage needed for required forecast inputs and fields
Netstock’s ERP integration depth depends on connector coverage for specific source fields, which can limit driver-based planning inputs. Lokad supports ERP-connected planning cycles, but the executable planning logic model requires stronger developer skills than workbook-first tools.
Expecting spreadsheet-first interaction without the configuration or execution model implications
o9 Solutions can feel heavy for teams that expect spreadsheet-first workflows, even when it delivers managed forecasting cycles with driver modeling and scenario reconciliation. Anaplan can require specialized training for builders when advanced modeling is used to reach production-grade governance.
How analysts checked Forecasting and Planning Software picks
Analysts reviewed the original publication set of shortlisted tools for forecasting and planning software and copied the specific figures stated next to each relevant passage. Analysts then compared each copied figure with official documentation and the product changelog, and they also checked an independent review when one was cited.
Analysts kept the figure when it matched those sources and carried it forward into the buyer guide coverage of product capabilities like scenario simulation structure and reconciliation behavior. OneStream stood out in these comparisons because a single governed environment ties planning submissions, scenario simulation, and consolidation outputs to shared structures.
Frequently Asked Questions About Forecasting and Planning Software
How do OneStream and Anaplan handle driver-based planning across multiple hierarchies?
Which tools support scenario simulation without forcing teams to export to separate spreadsheets?
When planning teams need forecast reconciliation between demand outputs and supply constraints, what breaks if reconciliation is missing?
How do SAP Integrated Business Planning workflows compare in practice to Kinaxis Maestro when exception handling drives the cycle?
Which platforms provide the strongest integration coverage for ERP connectors and planning data pipelines?
How do Lokad and o9 Solutions differ in extensibility for forecasting logic and scenario computation?
What security and administration controls matter most for governed planning, and where do OneStream and Planful diverge?
How does ToolsGroup support collaborative planning across hierarchies without losing consistency in forecasts?
When teams face forecast bias tracking and rolling forecast updates, how do Rolling cycles differ across Netstock and Anaplan?
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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