GITNUXSOFTWARE REVIEW
Data Science AnalyticsTop 9 Best Network Traffic Generator Software of 2026
Compare network traffic generator software options for testing, with tradeoffs for labs and QA teams, including Scapy and Iperf.
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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Keysight IxNetwork is the best choice for QA and lab teams that need scripted, protocol-rich traffic runs because its stream-linked results tie loss and latency percentiles to bidirectional profiles, whereas Scapy fits teams who want programmable packet crafting and scripted replay by implementing protocol emulations as Python code modules.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Keysight IxNetwork
IxNetwork traffic run execution with stream-linked measurement results for loss and latency percentiles across bidirectional profiles.
Best for: Fits when QA and lab teams need scripted, repeatable protocol traffic profiles with tight loss and latency reporting.
Scapy
Editor pickProtocol layer and field extension in Python lets custom packet formats and emulations be implemented as code modules.
Best for: Fits when lab teams need programmable packet crafting and scripted replay without fixed traffic templates.
Iperf
Editor pickServer-client CLI mode with direct measurement output built for reproducible throughput and loss baselines.
Best for: Fits when lab teams need repeatable TCP and UDP throughput checks with tight parameter control.
Comparison Table
Keysight IxNetwork
enterpriseNetwork test software for generating protocol-rich traffic and measuring performance across complex infrastructures.
IxNetwork traffic run execution with stream-linked measurement results for loss and latency percentiles across bidirectional profiles.
Keysight IxNetwork is a lab-grade traffic generator built around scripted traffic profiles, protocol emulation, and repeatable test execution for performance and interoperability testing. Packet crafting support spans Ethernet to higher-layer flows with control over streams, payload patterns, and bidirectional traffic behavior.
Built-in reporting covers throughput validation, frame loss measurement, and latency and jitter metrics under load. IxNetwork also integrates with Keysight test ecosystems where traffic generation must coordinate with measurement and automation systems.
- +High-fidelity protocol emulation with configurable traffic streams
- +Repeatable run control with detailed results for throughput, loss, and latency
- +Strong automation hooks for regression workflows and batch execution
- +Scales flows using stream-level configuration and stream templates
- –Complex scenario modeling can slow setup for narrow test cases
- –Protocol coverage depends on supported feature sets and options
- –Debugging stream timing issues can require deep knowledge of traffic constructs
- –Requires disciplined lab configuration for consistent port-to-port measurement
Network performance test engineers
Scripted load tests with jitter metrics
Repeatable timing and loss metrics
Interoperability QA teams
Protocol emulation across device pairs
Consistent interoperability test evidence
Show 1 more scenario
Test automation leads
Coordinate traffic with measurement workflows
Faster regression execution
Integrate traffic generation with measurement and automation so results align with automated runs.
Best for: Fits when QA and lab teams need scripted, repeatable protocol traffic profiles with tight loss and latency reporting.
Scapy
API-firstPython-based packet manipulation framework used to generate, send, and analyze custom network traffic.
Protocol layer and field extension in Python lets custom packet formats and emulations be implemented as code modules.
Scapy performs packet crafting and packet injection by combining a Python runtime with protocol-aware layers and direct access to raw bytes. It supports traffic pattern replay through scripted generation of frames and fields, and it can measure results by reading counters, capturing replies, or computing loss metrics from observed traffic.
Scapy is distinct for extensibility because custom protocol fields and layers can be added in code, which enables protocol emulation beyond common traffic-generator templates. It also exposes an API surface that lets scripts coordinate bidirectional exchanges and integrate checksums and payload validation logic.
- +Python scripting enables custom protocol fields and packet layouts for niche test cases
- +Layer-based packet crafting simplifies checksum handling and protocol emulation logic
- +Built-in sniff and send coordination supports reply correlation and loss measurement
- +Reusable scripts provide repeatable traffic pattern replay for lab and QA runs
- –Line-rate generation depends on host and network stack limits rather than dedicated hardware
- –High flow scale requires careful engineering to avoid bottlenecks in Python loops
Network developers
Replay custom UDP traffic fields
Controlled UDP behavior analysis
Network operations teams
Send traceroute-like probes
Tailored hop and path analysis
Show 2 more scenarios
Protocol test engineers
Validate handshake and teardown
Reproducible protocol test results
Write repeatable scripts that send crafted requests and validate expected protocol replies.
Incident response engineers
Decode fields from captures
Scripted packet inspection
Use programmable parsing logic to inspect live traffic or saved capture files and pinpoint fields.
Best for: Fits when lab teams need programmable packet crafting and scripted replay without fixed traffic templates.
Iperf
SMBOpen-source bandwidth testing tool that generates TCP and UDP traffic to measure network throughput and loss.
Server-client CLI mode with direct measurement output built for reproducible throughput and loss baselines.
Iperf provides a command-line traffic generator built around TCP and UDP throughput tests with minimal abstraction layers. It uses simple client and server roles that make test execution deterministic and easy to reproduce across labs.
Iperf reports measured bandwidth and packet loss statistics and can run bidirectional tests for link utilization validation. Its design favors direct control over packet size, duration, and parallel streams over higher-level scenario scripting.
- +Small CLI surface makes test runs fast to script and repeat
- +TCP and UDP modes cover common throughput and loss measurement needs
- +Parallel streams support multi-flow load against a single target
- +Deterministic parameters like duration, packet size, and stream count
- –No built-in scenario orchestration for multi-hop or route-aware traffic
- –Latency and jitter testing require careful selection of options and tools
- –Higher flow scale generation needs external process management
- –Traffic pattern replay and protocol emulation are not first-class features
Network appliance testers
Run parallel TCP or UDP streams
Capacity comparison data
Network engineers
Test switch port forwarding behavior
Comparable forwarding performance
Show 2 more scenarios
Network automation teams
Embed deterministic regression runs
Automated performance baselines
Use fixed parameters and intervals for repeatable command-line checks that integrate into workflows.
Application network teams
Evaluate UDP jitter and loss
UDP path support indicators
Run configurable UDP traffic to assess jitter, loss, and bandwidth for message-oriented paths.
Best for: Fits when lab teams need repeatable TCP and UDP throughput checks with tight parameter control.
Pktgen
API-firstHigh-speed packet generator built on DPDK for scripted and line-rate traffic generation.
Kernel module packet generator with configurable per-port scheduling for sustained, high-rate traffic runs.
Pktgen’s core workflow is to configure per-queue or per-interface transmit parameters, load packet definitions, and run sustained traffic while measuring results on paired receive interfaces. Configuration focuses on packet crafting inputs such as payload bytes and size distributions, plus traffic rate control through pacing and burst parameters. The scope stays close to line-rate generation rather than full protocol emulation stacks, which keeps runs reproducible for throughput validation and loss testing.
- +pktgen.ko enables packet generation directly from the Linux kernel
- +Per-port and per-queue knobs support repeatable line-rate test runs
- +Packet templates allow payload and header crafting for protocol-level validation
- +Counters support frame loss measurement during TX/RX paired testing
- –Linux and driver constraints limit portability across lab hardware
- –High-rate tests require careful interface binding and CPU budget planning
- –Automation relies on external scripts rather than built-in test orchestration
- –Protocol behavior coverage is narrower than full traffic generator appliances
Network QA engineers
Throughput validation with loss counters
Faster regression triage
Lab performance teams
Latency under load spot checks
Actionable bottleneck signals
Show 2 more scenarios
Kernel and driver testers
Protocol field crafting tests
Protocol handling confidence
Craft packet payload and header bytes to validate checksum and parsing paths.
Automation-focused SREs
Scripted traffic regressions
Repeatable CI-like runs
Control module parameters from scripts and re-run identical packet profiles across builds.
Best for: Fits when labs need repeatable Linux line-rate traffic and measurable loss under load without appliance orchestration.
Netropy Traffic Generation
enterpriseAppliance-based traffic generation for realistic application and protocol load in network test environments.
Deterministic traffic pattern replay tied to measured loss and latency outputs for regression comparisons.
Netropy Traffic Generation fits teams that run structured experiments such as RFC-style benchmarking profiles and protocol emulation with consistent frame sizing and timing. The product is used to drive TX and RX port-pair traffic while collecting metrics for frame loss and latency under load. Its automation and configuration focus supports repeated runs with controlled burst sizing and packet size distribution.
- +Repeatable traffic pattern replay with controlled timing parameters
- +Built-in measurement for frame loss, latency, and throughput validation
- +Scales flow counts for higher packet and flow rates testing
- +Supports bidirectional traffic runs for symmetric DUT behavior checks
- –Best results require disciplined traffic profile configuration upfront
- –Interactive, ad-hoc packet crafting is slower than fully scripting-first tools
- –Complex protocol emulation setups take longer to converge in practice
Network QA teams
Regression runs with controlled burst patterns
Consistent pass or fail signals
Lab engineers
Throughput validation under constrained rates
Throughput limits identified
Show 2 more scenarios
Performance test managers
Bidirectional congestion simulation checks
Bottlenecks located quickly
Runs coordinated TX and RX directions to measure latency under load and verify symmetry handling.
Protocol emulation testers
Protocol behavior validation against expectations
Protocol regressions caught early
Uses protocol emulation traffic and validates observed behavior via packet crafting controls and metrics.
Best for: Fits when QA teams need repeatable, config-driven traffic regression with loss and latency measurement.
LANforge
SMBNetwork performance software generates traffic across wired, wireless, and emulated network topologies.
Experiment control ties traffic profiles to synchronized measurement and capture workflows during the same run.
LANforge is built for lab-scale traffic engineering where TX/RX port pair selection, interface mapping, and sustained load control matter for repeatability. Its workflow separates traffic configuration from measurement so experiments can record packet counters, loss indicators, and latency statistics while traffic runs. Packet payload customization and protocol emulation support targeted protocol-level testing rather than only bulk throughput.
- +High flow scale support for sustained packet and session testing
- +Packet payload customization for targeted protocol behavior testing
- +Web-managed experiment control with run-and-measure telemetry loops
- +Automation hooks for repeatable provisioning and scripted scenarios
- –Complex experiments demand careful port and interface mapping
- –Deep protocol emulation setup takes longer than basic generator tools
- –Large lab deployments require governance to standardize profiles
- –Tuning for stable latency percentile reporting needs experiment iteration
Network QA engineers
Regression for throughput and loss behavior
Consistent pass or fail signals
Lab network architects
Protocol emulation for encapsulation paths
Protocol-level behavior confirmation
Show 2 more scenarios
Performance test teams
High flow scale validation
Bottleneck identification
Traffic profiles run at large flow counts while counters and timing reflect system limits.
Security test operators
Controlled congestion and session stress
Capacity risk visibility
Repeatable traffic pressure is used to observe latency under load and packet loss patterns.
Best for: Fits when lab teams need automated, repeatable traffic runs with detailed telemetry.
TP-Test
SMBFree network throughput testing tool from IEEE 802.1 working group for standardized performance measurement.
IEEE 802-centric traffic scenario definitions tuned for protocol emulation and deterministic RX outcome verification.
TP-Test is an IEEE 802-focused traffic generator framework centered on reproducing packet behavior for 802 LAN and WLAN testing. It targets controlled packet crafting workflows and repeatable traffic pattern replay driven by scenario definitions.
- +IEEE 802-oriented traffic patterns reduce protocol translation overhead
- +Scenario-driven packet crafting supports repeatable lab measurements
- +Wire-level control supports deterministic TX and measurable RX checking
- +Reproducible runs support regression-style traffic verification
- –Automation and API integration are less mature than enterprise test suites
- –Advanced topologies require more manual setup than turnkey tools
- –Limited visibility into complex system behavior beyond packet IO
- –WLAN and non-802 protocols need extra bridging work
802 LAN test engineers
Replay scenario-defined packet patterns
Consistent RX verification
802 WLAN interoperability testers
Craft controlled WLAN frames
Repeatable interoperability checks
Show 1 more scenario
Test automation maintainers
Run traffic via configuration files
Scenario-driven repeatability
Use test-run workflow and configuration files to drive traffic generation across lab runs.
Best for: Fits when IEEE 802 labs need repeatable packet behavior and RX measurement control for interoperability checks.
Packet Sender
SMBDesktop and command-line utility for generating and sending TCP, UDP, and SSL network packets.
GUI packet composer that lets teams change payload and send parameters per test run.
Packet Sender provides a desktop interface for generating and sending crafted packets, which suits packet-level QA checks that iterate quickly.
- +Interactive packet crafting with immediate send and receive visibility
- +Clear controls for payload content, ports, and message repetition
- +Built-in capture and counters for quick TX and RX sanity checks
- +Works well for ad hoc lab tests that change per iteration
- –Limited throughput orchestration for wire-speed and multi-port scenarios
- –Stateful behavior and complex protocol emulation require external tooling
- –Test reuse depends on manual setup rather than automated provisioning
- –Large-scale flow generation and long-duration runs are not its focus
Packet QA engineers
Iterate crafted packet send tests
Faster QA iteration
Software testers
Validate responses with received views
Clear pass or fail evidence
Show 1 more scenario
Frontline network techs
Perform targeted operator-controlled checks
Focused troubleshooting
Generate traffic manually with operator control for targeted validation tasks that do not require heavy automation.
Best for: Fits when QA teams need rapid packet-level validation with operator-controlled repeats.
D-ITG
vertical specialistDistributed Internet Traffic Generator for emulating traffic at packet level with configurable protocols and statistics.
Scenario-driven traffic scripting with detailed TX and RX measurement output for frame loss and delay analysis.
D-ITG is a traffic.comics.unina.it network traffic generator focused on replaying packet-level scenarios and producing measurable TX and RX results. It supports crafting custom packet payloads and protocol emulation, and it can run bidirectional flows for comparative latency and loss measurement.
- +Scenario script control yields repeatable packet patterns and timing
- +Bidirectional traffic generation supports direct latency comparison
- +Captures useful statistics for frame loss and delay under load
- +Packet payload customization supports protocol emulation workflows
- –Protocol coverage and traffic constructs lag behind commercial traffic labs
- –Automation and API surface are limited compared with enterprise generators
- –High-flow scaling needs careful tuning and host performance planning
- –Operational governance features like RBAC and audit logs are not native
Lab validation engineers
Replay scenario scripts for repeatable loads
Repeatable traffic loads
Performance measurement teams
Compare bidirectional latency and loss
Bidirectional impairment metrics
Show 2 more scenarios
Protocol emulation testers
Emulate protocols with custom payloads
Scenario-aligned protocol tests
Craft custom packet payloads and emulate protocol behavior so TX and RX results map to scenario outputs.
Timing-focused researchers
Assess per-flow delays and jitter
Timing-linked results
Use scenario-driven timing so packet statistics like delays and loss are tied to the generated behavior.
Best for: Fits when labs need script-driven, repeatable packet traffic and packet loss or delay measurement for QA tests.
Conclusion
After evaluating 9 network traffic generator software, Keysight IxNetwork 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 Network Traffic Generator Software
Network traffic generator software is used to produce repeatable TX patterns and to measure frame loss, latency under load, and throughput validation during lab and QA runs. This guide covers Pktgen, Netropy Traffic Generation, LANforge, and the rest of the top set, including Keysight IxNetwork, Spirent TestCenter, and Moongen.
Across the tools, the most consistent differentiators are how traffic patterns are defined, how measurement gets tied to each run, and how far automation and scripting reach beyond manual packet sending. The sections that follow focus on the practical mechanics labs use to validate sustained performance and deterministic behavior.
Network Traffic Generator Software for line-rate packet replay and loss plus latency measurement
Network traffic generator software schedules and emits traffic at controlled rates, then reports TX and RX outcomes such as frame loss, latency, and throughput validation for each traffic profile. Pktgen runs packet generation in a Linux kernel module with per-port and per-queue scheduling knobs designed for sustained high-rate traffic runs without appliance orchestration.
Netropy Traffic Generation emphasizes deterministic traffic pattern replay that is configured up front and connected to loss and latency outputs for regression comparisons. LANforge ties traffic profiles to synchronized measurement and capture workflows during the same run to keep telemetry aligned with the traffic that produced it.
Run control, measurement binding, and automation surface
The best network traffic generator software ties each emitted traffic profile to TX and RX results so frame loss, latency under load, and throughput validation stay attributable to a single run configuration. That linkage determines whether regression comparisons mean the same thing across iterations.
Traffic definition that stays deterministic across runs
Pktgen uses a Linux kernel module with configurable per-port and per-queue scheduling knobs aimed at repeatable high-rate packet generation runs. Netropy Traffic Generation focuses on deterministic traffic pattern replay tied to configured timing parameters for regression comparisons.
Measurement output that matches the traffic run scope
Keysight IxNetwork links stream-linked measurement results to traffic profiles so loss and latency percentiles stay tied to bidirectional profiles. D-ITG provides scenario-driven TX and RX measurement output that supports repeatable packet patterns for frame loss and delay analysis.
Loss and latency instrumentation suited to QA assertions
Netropy Traffic Generation includes built-in measurement for frame loss, latency, and throughput validation so regression gates can use the same run outputs. bort generates packet stream iterations with built-in capture and statistics to validate loss and timing on each iteration.
Multi-flow scale and payload customization for protocol behavior
LANforge supports high flow scale for sustained packet and session testing and includes packet payload customization for targeted protocol behavior testing. Scapy enables programmable packet crafting in Python for custom protocol fields and packet layouts when fixed templates do not cover niche behavior.
Protocol emulation depth versus scripting freedom
IxNetwork emphasizes high-fidelity protocol emulation through configurable traffic streams, with coverage constrained to supported feature sets and options. Scapy shifts the tradeoff to code-level protocol layer and field extensions so custom emulations become Python modules.
Automation and control surface for repeatable execution
Pktgen stays aligned with scripted lab workflows through kernel-level packet generation control, where per-port and per-queue knobs must be set before the run. LANforge ties traffic profiles to synchronized measurement and capture workflows during the same run to support automated repeatability.
Choose by execution philosophy and how results must map to traffic
The selection hinge is whether the lab needs kernel-bound line-rate behavior with scheduling knobs or deterministic traffic pattern replay tied to measurement outputs. The next hinge is how much automation and run-binding governance must exist so outputs remain attributable to specific traffic configurations.
Pick kernel-bound line-rate generation if the lab needs sustained TX at the Linux interface level
Choose Pktgen when the test plan targets sustained high-rate packet generation using the pktgen.ko kernel module with per-port and per-queue scheduling controls. Plan for Linux and driver constraints, because portability across lab hardware is limited by the kernel and interface stack.
Pick deterministic replay with measurement outputs for config-first QA regressions
Choose Netropy Traffic Generation when traffic patterns must replay deterministically based on configured timing parameters and when frame loss, latency, and throughput validation must come from built-in measurement. Expect best results from disciplined upfront traffic profile configuration because interactive ad-hoc packet crafting runs slower than fully scripting-first tools.
Pick run-coupled telemetry when synchronized capture must happen inside the same experiment run
Choose LANforge when traffic profiles must tie to synchronized measurement and capture workflows during the same run to keep telemetry aligned with the traffic that produced it. Validate that the lab can manage the complex experiments that require careful port and interface mapping.
Pick stream-linked protocol traffic modeling when loss and latency percentiles must be reported per bidirectional profile
Choose Keysight IxNetwork when scripted, repeatable protocol traffic profiles require stream-linked measurement results for loss and latency percentiles across bidirectional profiles. Expect scenario modeling complexity to add setup time when the tests target narrow cases.
Pick Python packet crafting when custom packet formats must exist as code modules
Choose Scapy when custom protocol fields and packet layouts must be implemented as Python code modules, and when layer-based packet crafting needs to simplify checksum handling and emulation logic. Measure line-rate generation risk on the host network and network stack limits because throughput is constrained by host performance rather than dedicated appliance behavior.
Pick measurement-first throughput baselines when TCP and UDP checks must be quick to execute
Choose Iperf when labs need fast server-client CLI mode runs with direct measurement output for reproducible TCP and UDP throughput checks. Use it only when latency and jitter needs are handled through careful option selection and when multi-hop or route-aware traffic orchestration is not required.
Who benefits from each execution model and telemetry binding
Labs that treat traffic as a test artifact need generator tools that produce repeatable traffic outputs tied to measurable TX and RX outcomes. QA teams also need results that map cleanly to traffic profiles so regression comparisons do not mix multiple configurations.
Linux labs needing sustained line-rate runs with per-port scheduling controls
Pktgen fits when the lab can operate within Linux kernel module constraints and wants per-port and per-queue knobs that support repeatable sustained high-rate traffic runs.
QA teams running regression tests that must compare loss and latency across versions
Netropy Traffic Generation fits when deterministic traffic pattern replay must be configured upfront and when built-in measurement outputs cover frame loss, latency, and throughput validation for the same traffic profile.
Network validation teams that require synchronized capture tied to each traffic profile
LANforge fits when experiment control must tie traffic profiles to synchronized measurement and capture workflows during the same run, and when packet payload customization supports targeted protocol behavior.
Protocol test teams that need loss and latency percentiles per bidirectional stream profile
Keysight IxNetwork fits when traffic run execution produces stream-linked measurement results for loss and latency percentiles across bidirectional profiles with protocol emulation fidelity.
R&D teams that need programmable packet fields as Python code modules
Scapy fits when custom packet formats and protocol field extensions must be built as Python modules rather than selected from fixed traffic templates.
Common setup and workflow pitfalls during traffic generation projects
Traffic generator failures often come from mismatched expectations about determinism, measurement binding, and execution scope. The following pitfalls show up when tools are selected without aligning the run definition method to the required QA assertions.
Treating interactive packet crafting as a substitute for fully scripted deterministic traffic profiles
Netropy Traffic Generation delivers best results with disciplined traffic profile configuration, while interactive ad-hoc packet crafting is slower than scripting-first workflows for regression runs.
Expecting portability across lab hardware when kernel-level packet generation is used
Pktgen depends on Linux kernel module and driver constraints, so interface binding and CPU budget planning must be aligned with the specific lab environment for high-rate tests.
Building protocol scenarios that take longer than the test window allows
Keysight IxNetwork can slow setup for narrow test cases because complex scenario modeling increases preparation time even when measurement outputs are highly detailed.
Overestimating throughput when packet crafting runs inside a general-purpose host stack
Scapy line-rate generation depends on host and network stack limits rather than dedicated hardware, so high flow scale requires careful engineering to avoid Python loop bottlenecks.
Assuming orchestration features exist for route-aware multi-hop scenarios
Iperf focuses on server-client CLI throughput checks and lacks built-in scenario orchestration for multi-hop or route-aware traffic, so separate tools are needed for topology-aware validation.
How We Selected and Ranked These Tools
We evaluated Pktgen, Netropy Traffic Generation, LANforge, and the remaining tools on feature coverage for traffic generation and measurement binding, because the top performers score higher on how repeatable traffic maps to TX and RX outcomes. We weighted feature coverage at 40% because loss, latency, and throughput validation need to be available without manual result stitching.
We weighted ease and value at 30% each because per-port scheduling complexity, scenario setup time, and workflow friction determine whether labs can run the same tests repeatedly. Pktgen separated itself with Pktgen.Ko kernel-level packet generation plus per-port and per-queue scheduling that supports repeatable sustained high-rate traffic runs with measurable outcomes.
Frequently Asked Questions About Network Traffic Generator Software
How do Traffic Generator and Spirent TestCenter differ from Linux-based tools like Pktgen for sustained TX/RX validation?
When does Moongen-style throughput testing fall short compared with scenario replay tools like D-ITG and Netropy Traffic Generation?
Which tool fits lab work that needs packet crafting extensibility without a fixed GUI template?
How do API and integration workflows typically differ between LANforge and Keysight IxNetwork for automated test runs?
What security controls matter when a traffic generator must operate under RBAC and provide audit visibility?
How is data migration handled when moving regression definitions from one traffic generator to another?
What breaks if a test requires bidirectional timing plus accurate loss measurement, but the traffic tool only emphasizes one-way throughput?
When does frame capture and telemetry alignment become the deciding factor between LANforge and bort?
What operational requirement often determines whether a team chooses TP-Test over general traffic generators?
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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