Commissioned Research
Top 9 Best Water Distribution Network Software of 2026

GITNUXSOFTWARE REVIEW

Construction & Infrastructure

Top 9 Best Water Distribution Network Software of 2026

Compare water distribution network software options for utilities and planners, including tradeoffs and use cases such as Esri ArcGIS Enterprise.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

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Water distribution network software tools connect asset data models, GIS schemas, and operational workflows so planning teams and operators can coordinate maintenance and delivery changes with traceability. This comparison helps technical evaluators weigh integration via APIs, RBAC and audit logs, and model-to-operations automation across geospatial, analytics, and historian-backed stacks.

OpenProject is the best choice for engineering teams that need RBAC-governed work tracking and automation because its REST API and configurable workflow transitions keep delivery, approvals, and change artifacts consistently connected, whereas IBM Maximo Application Suite fits utilities that want governed asset data tied tightly to enterprise maintenance workflows with auditability.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

OpenProject

REST API plus configurable workflow transitions on work packages.

Best for: Fits when engineering teams need RBAC-governed work tracking with API-driven automation for distribution program delivery.

2

IBM Maximo Application Suite

Editor pick

Maximo workflow automation tied to a governed asset data model with RBAC controls and audit logs for traceable operational execution.

Best for: Fits when water utilities need deep integration between asset records, work management, and automated operational workflows with governed access.

3

Esri ArcGIS Enterprise

Editor pick

Utility Network framework in ArcGIS Enterprise that models connectivity rules and supports network tracing via services.

Best for: Fits when utility teams need GIS-centered data model control plus API automation for asset and network edits at scale.

Comparison Table

1
OpenProjectBest overall
workflow governance
9.3/10
Overall
2
8.9/10
Overall
3
8.8/10
Overall
4
network analytics
8.3/10
Overall
5
project governance
8.0/10
Overall
6
digital twin
7.9/10
Overall
7
7.5/10
Overall
8
time-series integration
7.2/10
Overall
9
automation platform
6.8/10
Overall
#1

OpenProject

workflow governance

Project and workflow management with role-based access control, audit logs, and APIs for tracking water distribution delivery and change control artifacts.

9.3/10
Overall
Features9.3/10
Ease of Use9.2/10
Value9.4/10
Standout feature

REST API plus configurable workflow transitions on work packages.

OpenProject runs project and issue planning for water distribution network work using work packages, milestones, and task dependencies tied to a clear data model. Integration depth centers on its REST API for project, work packages, and related objects, plus webhook-style automation patterns for reacting to changes.

Admin governance includes role-based permissions and audit trails that track edits across entities. Extensibility comes through add-ons and configurable workflows, which supports controlled schema usage for asset-aligned delivery records.

Pros
  • +REST API covers work packages, status changes, and related entities for automation
  • +Role-based permissions support RBAC across projects and administration functions
  • +Audit log records user actions on work packages and projects for traceability
  • +Configurable workflows map approval stages to controlled task states
Cons
  • –Water-asset schema customization is limited compared with dedicated utility systems
  • –Automation triggers require external orchestration for multi-step rule logic
  • –High-volume throughput can be constrained by API call patterns for large plans
  • –Cross-project governance is harder when work packages span many workstreams
Use scenarios
  • Water utility engineers

    Link requirements to completed delivery work

    Traceable requirements to delivery

  • Construction program managers

    Coordinate phase work and dependencies

    Shared schedule with dependencies

Show 2 more scenarios
  • Agile operations delivery leads

    Plan sprints for network work

    Visible sprint scope

    Prioritize backlog items and monitor iteration progress using shared work items and status updates.

  • Field operations teams

    Route requests through workflow states

    Visual flow for prioritization

    Move work items across configurable board columns to manage routing, prioritization, and execution states.

Best for: Fits when engineering teams need RBAC-governed work tracking with API-driven automation for distribution program delivery.

#2

IBM Maximo Application Suite

asset management

Enterprise asset and maintenance workflows with extensibility, APIs, and administrative controls for operational governance of infrastructure data.

8.9/10
Overall
Features8.9/10
Ease of Use8.9/10
Value8.9/10
Standout feature

Maximo workflow automation tied to a governed asset data model with RBAC controls and audit logs for traceable operational execution.

IBM Maximo Application Suite links asset and work management data to operational workflows for water utilities through a shared data model and configurable object schemas. For water distribution network use cases, it supports structured integration via APIs, workflow automation, and role-based access controls tied to operational records.

Extensibility options include configuration and integration patterns aimed at keeping network, asset, and maintenance data consistent across systems. Admin governance centers on audit logging, controlled provisioning, and permission boundaries that reduce cross-team data drift.

Pros
  • +Strong data model ties assets, locations, and work orders into consistent schemas
  • +Workflow automation supports event-driven operational processes across maintenance cycles
  • +API surface supports integration of network and operational systems into one record set
  • +RBAC and audit logs help enforce governance across operational and administrative roles
Cons
  • –Complex configuration can slow initial schema and workflow alignment for distribution networks
  • –Automation rules can become difficult to trace without disciplined governance practices
  • –Integration throughput depends on custom interfaces and data mapping choices
  • –API-heavy setups increase maintenance load for schema and contract changes
Use scenarios
  • Fleet maintenance managers

    Schedule vehicle work and parts

    Planned work across vehicles

  • Enterprise asset governance teams

    Standardize multi-site asset records

    Consistent asset records

Show 2 more scenarios
  • Reliability operations teams

    Create maintenance from equipment signals

    Maintenance tied to condition

    Connect equipment condition and operational signals into reliability reviews and maintenance work creation.

  • Compliance and operations leaders

    Generate audit-ready maintenance histories

    Traceable maintenance evidence

    Use governed transaction histories, inspection results, and work records to support compliance reviews.

Best for: Fits when water utilities need deep integration between asset records, work management, and automated operational workflows with governed access.

#3

Esri ArcGIS Enterprise

GIS data model

Geospatial platform for water network asset schemas with feature services, permissions, and automation through REST APIs.

8.8/10
Overall
Features8.8/10
Ease of Use8.8/10
Value8.8/10
Standout feature

Utility Network framework in ArcGIS Enterprise that models connectivity rules and supports network tracing via services.

Esri ArcGIS Enterprise is a location-centric GIS stack used to run water distribution network models alongside operational layers like assets, inspections, and edits. Its data model supports geodatabases and feature services that map utility networks to spatial networks and attribute schemas, with schema design controlling how workflows write data.

Automation and integration are driven through published REST APIs, geoprocessing services, and Webhooks for event-driven updates into downstream systems. Admin and governance are handled through portal settings, role-based access control, and auditing for operations tied to publishing, access, and item changes.

Pros
  • +Geodatabase-backed data model with schema control for utility asset attributes
  • +REST API and feature service patterns for app integration and automation
  • +Geoprocessing services enable scheduled and repeatable network analytics
  • +RBAC and item-level permissions support controlled publishing and access
Cons
  • –Complex administration for multi-server deployments and service tuning
  • –Network modeling requires careful configuration of schemas and rules
  • –Throughput can degrade when complex geoprocessing runs concurrently
  • –API-driven custom workflows often need significant integration engineering
Use scenarios
  • Water utilities GIS teams

    Maintain utility network asset layers

    Faster data maintenance

  • Network model analysts

    Run hydraulic modeling using GIS layers

    Improved modeling accuracy

Show 2 more scenarios
  • Operations and field tech leads

    Update inspections and work orders spatially

    Reduced rework cycles

    Uses feature services and edit workflows to capture and publish field updates across teams.

  • Integration and platform administrators

    Automate workflows via REST and webhooks

    More timely data updates

    Publishes APIs and event-driven hooks to sync edits and publishing changes to systems of record.

Best for: Fits when utility teams need GIS-centered data model control plus API automation for asset and network edits at scale.

#4

InfoWater

network analytics

Water network analytics and data management built around hydraulic models with workflows that connect GIS assets to simulation-ready schemas.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

Automation and API surface for provisioning network data and configuration under a governed schema.

InfoWater is a fit for teams that treat the water network model as a governed data asset and need repeatable analysis runs. The data model ties together network objects, spatial context, and operational parameters so downstream automation can reuse the same schema. The integration and automation story is strongest when workflows need API-driven provisioning and configuration changes without manual rework.

Pros
  • +API and automation-oriented provisioning for network objects and configuration
  • +Consistent data model linking assets, parameters, and operational context
  • +Governance controls with RBAC and traceability suitable for audits
  • +Schema-based extensibility for integrations with external systems
Cons
  • –Automation depends on consistent upstream data conventions
  • –More admin overhead when enforcing strict configuration governance
Use scenarios
  • Network operations engineers

    Schedule hydraulic runs from events

    Faster decision cycles

  • GIS and asset data teams

    Keep asset schema synchronized

    Fewer manual reconciliations

Show 2 more scenarios
  • Water utility IT governance

    Control changes with RBAC

    Reduced compliance risk

    Restrict provisioning and configuration updates using role-based permissions and audit trails.

  • Integration platform teams

    Provision networks across systems

    Higher integration throughput

    Use the documented API surface to connect upstream tooling to InfoWater workflows.

Best for: Fits when network teams need API-driven workflows, governed configuration changes, and repeatable analysis runs.

#5

Autodesk BIM 360

project governance

Construction infrastructure coordination workspace with permissions, audit trails, and API access patterns for linking model artifacts to network deliverables.

8.0/10
Overall
Features8.0/10
Ease of Use8.0/10
Value8.0/10
Standout feature

BIM 360 project-level RBAC plus audit log for document and issue activity tracking across the construction lifecycle.

Autodesk BIM 360 supports water distribution network delivery workflows by linking model, document, and field issues to managed project data. It centralizes a connected data model for project files, user roles, and construction records, which helps keep pipe and asset documentation consistent across disciplines.

Pros
  • +Project data model ties documents, issues, and models to RBAC roles
  • +API-oriented administration supports provisioning and programmatic project management
  • +Audit log records user actions across documents, issues, and workflows
  • +Workflow configuration supports repeatable review and issue routing
Cons
  • –Automation depends on integration building blocks rather than native scripting
  • –Data access patterns can be heavy for high-volume throughput use cases
  • –Granular permissions mapping to utility asset structures requires careful schema design
  • –Customization depth for field workflows is limited without external tooling
Use scenarios
  • Water utility engineering teams

    Coordinate pipe asset models and revision control

    Fewer asset data inconsistencies

  • Midsize EPC contractors

    Track field issues against BIM deliverables

    Faster change resolution

Show 2 more scenarios
  • Project controls and PMO

    Audit-ready construction documentation across stakeholders

    Better auditability of records

    Centralizes governance-heavy project data to support traceable decisions and review histories.

  • System integration teams

    Automate approvals with events and APIs

    Reduced manual coordination work

    Uses extensibility features to integrate governance workflows with downstream review and reporting systems.

Best for: Fits when utility and design-build teams need audit-ready collaboration tied to BIM-linked documentation and governed access.

#6

Bentley WaterSight

digital twin

Digital-twin water network modeling and analytics with data ingestion, simulation workflows, and integration options for operational water distribution use cases.

7.9/10
Overall
Features7.9/10
Ease of Use7.9/10
Value7.9/10
Standout feature

Workflow automation driven by WaterSight’s network schema that keeps device and event semantics consistent across integrations.

Bentley WaterSight centers on a network-aware data model that ties topology, assets, and results to operational decisions. It supports configuration and workflow automation so teams can run repeatable analyses and field-ready tasks without manual spreadsheet stitching. Automation and API surface are central because WaterSight needs to ingest and reconcile data from SCADA, GIS, and planning tools while maintaining model consistency.

Pros
  • +Network data model connects topology, assets, and operational metrics
  • +Automation and API support event and model synchronization workflows
  • +Administration controls with RBAC and audit logs for governed changes
  • +Workflow configuration reduces repeatable analysis and task friction
Cons
  • –Schema mapping effort is high when sources differ from the model
  • –Complex integrations require disciplined data quality and naming conventions
Use scenarios
  • Water operations engineering teams

    Coordinate monitoring responses to hydraulic events

    Faster, consistent incident triage

  • Network planning analysts

    Run scenario workflows tied to assets

    Traceable scenario-to-asset decisions

Show 2 more scenarios
  • GIS and asset data teams

    Synchronize topology and asset attributes

    Reduced manual model reconciliation

    GIS updates and asset registers are provisioned into the data model for consistent analysis inputs.

  • Utility IT governance teams

    Control access and track configuration changes

    Lower audit effort

    RBAC-style permissions and audit logs support governance over schema-driven provisioning and workflow changes.

Best for: Fits when utilities need governed network operations workflows with documented API integration and repeatable automation.

#7

SAP Asset Strategy and Portfolio Management

asset management

Asset and work management foundation for water infrastructure portfolios with integration via APIs and governance controls for maintenance planning.

7.5/10
Overall
Features7.5/10
Ease of Use7.5/10
Value7.5/10
Standout feature

Portfolio strategy and investment decisions driven by configurable business rules over governed asset and location data.

SAP Asset Strategy and Portfolio Management is aimed at utilities and infrastructure operators that need asset and investment governance across a portfolio lifecycle. It is distinct for using SAP-centric data structures that connect asset strategy decisions to enterprise workflow, planning, and reporting.

Pros
  • +SAP-aligned data model supports asset and portfolio traceability across planning and execution
  • +Governance controls support RBAC and policy-based access to strategy and portfolio objects
  • +Workflow and business rules can be configured to apply consistent decision logic
  • +API and integration patterns align with SAP middleware and enterprise system provisioning
Cons
  • –High dependence on SAP master data quality for portfolio outcomes and strategy ranking
  • –Custom reporting and metrics often require schema mapping and additional data modeling
  • –Automation depth depends on which SAP modules and integration components are implemented
  • –Admin overhead increases with rule sets, role design, and audit retention settings
Use scenarios
  • Water utility asset planners

    Plan maintenance based on asset strategy models

    Lowered unplanned downtime

  • Infrastructure portfolio managers

    Rank water network investments using decision logic

    Prioritized capex portfolio

Show 2 more scenarios
  • Enterprise integration architects

    Automate SAP-to-SAP portfolio data flows

    Reduced manual reconciliation

    Uses defined integration points to synchronize asset data, planning, and reporting across SAP workflows.

  • Regulatory reporting analysts

    Generate auditable portfolio strategy reporting

    Audit-ready governance evidence

    Connects strategy configurations to enterprise reporting so governance trails map to portfolio outcomes.

Best for: Fits when SAP-centric utilities need asset strategy and portfolio governance with strong RBAC and auditable decision workflows.

#8

OSIsoft PI System

time-series integration

Time-series historian and integration foundation for water distribution telemetry with a governance model for tags, security, and audit visibility.

7.2/10
Overall
Features7.2/10
Ease of Use7.3/10
Value7.1/10
Standout feature

PI AF Asset Framework maps WDN entities to time-series points using attributes and event structures.

Water Distribution Network Software evaluations often weigh integration depth and governance controls, and OSIsoft PI System is built around a time-series data model for operational telemetry. PI Server, PI Data Archive, and PI interfaces support high-throughput historian ingestion from field assets, meter systems, and SCADA sources.

Pros
  • +AF model links tags to hierarchy for network-ready schemas
  • +PI Web API and SDKs expose tags and attributes for automation
  • +High-throughput ingestion via PI interfaces for SCADA and metering
  • +RBAC and audit log support governance across archives and assets
Cons
  • –AF and PI mapping design requires disciplined schema governance
  • –Custom workflows depend on SDK development and operational knowledge
  • –Interface maintenance can be complex across multiple source systems
  • –Throughput tuning depends on archive, buffering, and network configuration
Use scenarios
  • Water utilities operations engineers

    Centralize SCADA and meter telemetry historian

    Reliable time-stamped equipment visibility

  • Automation and controls teams

    Model assets with PI AF hierarchies

    Consistent asset context

Show 2 more scenarios
  • Asset data governance leads

    Control point configuration and access

    Lower configuration and access risk

    RBAC and audit logging support governed administration of points, interfaces, and security settings.

  • Analytics and integration developers

    Expose tag and event data via web APIs

    Faster data pipeline integration

    PI Web API and SDKs provide programmatic access to tag values, attributes, and events.

Best for: Fits when utilities need time-series network data integration with governed schemas and API-driven workflows for operations and analytics.

#9

SCADA software via Ignition

automation platform

Event-driven automation with historians and integration capabilities that can support water distribution operations and telemetry workflows via APIs.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Unified tag and alarm-historian model with gateway services that expose consistent process identifiers to integrations.

SCADA software via Ignition uses a unified tag data model for process values, derived tags, and state needed for alarms and historian writes. Water distribution network deployments can model pressure, flow, tank levels, pump runtime, and valve states as tags, then map those tags into screens and alarm rules with consistent identifiers across the gateway. Automation can be driven by event scripts attached to tags and alarms, and integration can be implemented through documented gateway services instead of screen-only scraping.

Pros
  • +Unified tag model links live values, alarms, and historian records
  • +Event and tag scripts support automation logic tied to specific process signals
  • +Gateway services and APIs support bidirectional integration with external systems
  • +RBAC and configuration governance reduce risky edits across operators
Cons
  • –Complex automation can grow hard to trace without consistent tag conventions
  • –High customization can increase change-management overhead across multiple sites
Use scenarios
  • Water utility OT engineering

    Commission multi-site pump stations quickly

    Repeatable deployments with fewer discrepancies

  • SCADA integration engineers

    Integrate historian and events with MES

    Lower integration glue-code volume

Show 2 more scenarios
  • Operations managers

    Control access to alarm configuration

    Reduced configuration change risk

    Apply RBAC to separate operator screens from engineering changes and track governance-focused workflows.

  • Reliability teams

    Automate pump run and failure workflows

    Faster response to failures

    Attach automation scripts to tag transitions and alarm triggers to start recovery sequences and notifications.

Best for: Fits when utilities need governed SCADA configuration with APIs and extensible automation for distributed pump stations.

Conclusion

After evaluating 9 water distribution network software, OpenProject 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.

Our Top Pick
OpenProject

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 Water Distribution Network Software

How do Water Distribution Network software tools integrate network models with operational workflows?
Bentley WaterSight links hydraulic and asset models to coordinated planning and monitoring tasks using an automation and API surface for exchanging model updates and operational events. InfoWater uses a configuration-driven analysis workflow with an API-driven provisioning surface that pushes schema-based network data and configuration changes into repeatable runs.
What API or data-exchange mechanisms are used for event-driven updates and automation?
OSIsoft PI System exposes time-series tag, attribute, and event data through PI Web API endpoints and PI SDKs, which fit high-throughput historian-driven automation. Esri ArcGIS Enterprise publishes REST APIs, geoprocessing services, and Webhooks so edits to geodatabase feature services can trigger downstream updates.
Which tools provide governed access controls with RBAC and auditable change tracking?
WaterSight and InfoWater both include RBAC-style administration and audit logging tied to tracked configuration and workflow changes. IBM Maximo Application Suite adds audit logging and permission boundaries across operational records, which reduces cross-team data drift when workflows update work and asset objects.
How do teams handle data migration when switching from legacy SCADA or telemetry systems?
OSIsoft PI System is commonly used as a migration target for telemetry because PI Server and PI Data Archive ingest operational time-series from field and SCADA sources into a governed time-series model. SCADA software via Ignition centers on commissioning and gateway configuration with a tag and alarm-historian model, which helps standardize process identifiers during the move from legacy tag naming and alarm logic.
What is the practical difference between WaterSight’s workflow schema and Ignition’s tag-based configuration model?
Bentley WaterSight turns a structured network schema into coordinated planning and monitoring tasks with consistent device and event semantics across integrations. SCADA software via Ignition ties real-time variables, alarm state, and history into one tag-based configuration workflow, then exposes gateway services and APIs for integration without replacing the SCADA configuration model.
Which platforms best fit utilities that need GIS-native editing of network assets at scale?
Esri ArcGIS Enterprise supports utility network modeling using network tracing services and a schema-controlled geodatabase model for assets and edits. Its REST APIs, geoprocessing services, and Webhooks support automated propagation of network changes into planning, inspection, and downstream systems.
How do admin teams control configuration drift across asset, work, and operational workflows?
IBM Maximo Application Suite focuses on a governed asset data model paired with configurable workflow automation, and it uses RBAC controls and audit logs to track provisioning and permission boundaries. SAP Asset Strategy and Portfolio Management separates strategy decisions into configurable business rules over governed asset and location data, which restricts uncontrolled changes to decision logic and planning inputs.
How do these tools handle extensibility, such as custom logic or modules, without breaking the underlying data model?
SCADA software via Ignition supports extensibility through scripting, modules, and published gateway services, which extends automation while keeping tag and alarm-historian semantics consistent. OSIsoft PI System uses PI AF Asset Framework plus PI SDKs and PI Web API endpoints, which supports extending the asset-to-time-series mapping through governed structures.
Which toolset fits organizations that need construction or issue tracking tied to water network assets?
Autodesk BIM 360 links model, document, and field issues to managed project data using project-level roles and audit-ready tracking for documents and issues. OpenProject instead concentrates on work packages, milestones, and dependency-based delivery tracking with a REST API and webhook-style automation for reacting to changes in project work objects.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Water Distribution Network Software

In water distribution network software, the real differences show up in model fidelity controls, how data moves between GIS and hydraulics, and how much workflow automation you can enforce. We look at integration depth, automation and API surface, and admin and governance controls because these determine whether updates stay consistent across planning and analysis runs.

Model consistency checks for edits

Why it matters

Model consistency checks for edits prevent silent mismatches when teams tweak pipes, nodes, and attributes. That matters because wrong references can yield misleading hydraulic results while still looking “reasonable.”

How to check

In a demo, edit a small network change (move a node or change a pipe segment attribute) and run the validation step. Ask what errors it reports (missing links, invalid types, inconsistent units) and whether it blocks saving or flags before analysis.

GIS-to-model roundtrip mapping

Why it matters

GIS-to-model roundtrip mapping determines whether geometry and IDs survive from field layers into analysis datasets. When mappings drift, your analysis can’t be audited against the source network.

How to check

Request a sample workflow that starts with a GIS layer export, imports it into the model, and then re-exports results. Confirm how it preserves feature IDs and handles renamed layers or attribute edits without manual rebuilding.

API and automation for run workflows

Why it matters

API and automation for run workflows reduce manual clicking during iterative studies. If you can trigger analyses, manage parameters, and collect outputs programmatically, you get repeatability.

How to check

Ask for a documented API that can: create/update a run, start it, and retrieve key outputs. Then test a demo call or script that changes one parameter (like scenario inputs) and confirms the output artifacts are stored with traceable run metadata.

Provisioning, RBAC, and audit log

Why it matters

Provisioning, RBAC, and audit log matter when multiple planners and analysts share one network model. You need clear accountability for who changed configurations and what outputs were produced.

How to check

In the admin view, verify role permissions (for example, who can edit model vs run analyses vs view results). Then locate an audit log entry for a recent configuration change and confirm it captures actor, timestamp, and what changed.

Scenario outputs traceability

Why it matters

Scenario outputs traceability lets teams compare runs without guessing what input set produced a result. For planning cycles, traceability reduces rework and supports review.

How to check

Create two scenarios that differ by one input, run both, and open the results comparison. Confirm the UI (or export) shows scenario inputs, model version/reference, and output timestamps tied to each result set.

Red flags

  • Edits save even when the model has broken references or unit inconsistencies.
  • GIS imports don’t preserve feature IDs, forcing manual reconciliation after export.
  • Runs produce outputs without a clear record of scenario inputs and model version.

Fit by situation

  • If your team frequently revises network attributes between studies, prioritize model consistency checks for edits.
  • If you rely on GIS layers as the source of truth, prioritize GIS-to-model roundtrip mapping.
  • If you need repeatable study automation across scenarios, prioritize API and automation for run workflows.
Commissioned Research

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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