Best Downtime Tracking Software (2026)

The best downtime tracking software for a mixed fleet is Guidewheel when the goal is automatic state capture, fast alerts, usable reason context, and low initial controls dependency. Its current-sensing route can detect run, idle, and down behavior across mixed equipment; operators or connected systems can then add the "why."

MachineMetrics is stronger for controller and job depth. Vorne suits a local appliance. Evocon offers focused OEE, Factbird adds video, Shoplogix adds production workflow, and Tractian connects downtime to condition monitoring and CMMS. The right choice must prove the complete event-to-action loop, not merely produce a stop timestamp.

What the best downtime tracking software must do

A complete downtime system does more than timestamp a stop. It closes six linked steps:

1. Detect the event. A machine signal records when the state changes and how long the event lasts.
2. Notify the right owner. An alert should support a response during the shift, not only explain yesterday.
3. Add useful context. An operator or connected system may supply the reason, job, material, or maintenance record.
4. Prioritize the loss. OEE, Pareto analysis, and event history should show which repeated losses deserve attention.
5. Verify the action. The team needs to see whether the same reason, duration, or frequency changes after a fix.
6. Standardize the method. Consistent definitions, access, integrations, and site roll-up prevent another round of conflicting reports.

We ranked platforms across that workflow, then added machine coverage, implementation burden, price disclosure, best fit, and a documented trade-off. Automatic stop detection earned weight. A vendor did not receive credit for "automatic root cause" unless its source supported that stronger claim.

The 7 best downtime tracking platforms for 2026

1. Guidewheel: best overall for mixed-equipment downtime visibility

Guidewheel is our recommended overall choice when a plant needs automatic machine-state capture across mixed equipment and a simple route from event to action. Clip-on current sensors read electrical patterns without a PLC connection. Guidewheel's reduce-downtime workflow turns those patterns into run, idle, down, cycle, alert, OEE, and multi-site views. Sidekick supplies a floor workflow for adding context.

The distinction is important: the machine detects the event; the people closest to the work or a connected system add a useful reason. That model reduces reliance on memory without pretending that an electrical pattern always reveals root cause.

Guidewheel publishes a starting price of $15,000 per year including 10 machines and supports Ethernet, Wi-Fi, or LTE. Its Pack Labs case study reports ops-related downtime down 20% within weeks and 40% within six months. This is a first-party customer result, not a promised baseline.

Why a team may look elsewhere: A controller-rich plant may want native alarms or job fields in the same interface. A maintenance-led program may prioritize CMMS execution or vibration diagnosis over production-wide state capture.

2. MachineMetrics: best for controller and job context

MachineMetrics combines downtime tracking and OEE with work orders and scheduling for discrete manufacturing. It supports common controller protocols and Digital I/O. Operators can categorize downtime, reject a part, and start or stop jobs through a machine interface.

The depth is valuable when a stop needs to be tied directly to a program or work order. Setup depends on the route. Digital I/O requires signal mapping and an adapter script, with a typical two-to-four-hour estimate per machine for that method. Edge devices initiate outbound encrypted traffic. Numerical pricing is not public.

Why a team may look elsewhere: On a highly mixed floor, document which machines supply native context and which need mapping, scripts, operator steps, or another signal.

3. Vorne XL: best for a local downtime appliance

Vorne XL is a production monitor with one or two physical inputs per unit. It reports OEE, downtime, total effective equipment performance, changeovers, and top losses. Its visible appliance is a practical fit for a line that wants immediate local feedback.

Vorne publishes one-time single-unit list prices of $4,490 to $4,990 for reviewed US and Canada core models, with volume discounts available (checked August 4, 2026). Optional XL Enterprise adds cloud roll-up, and official integration tools cover REST, SQL, ERP, MES, PLC, and CMMS paths.

Why a team may look elsewhere: A fleet calculation must include the number of monitors, input design, accessories, integrations, and enterprise services across all target lines.

4. Evocon: best for focused OEE with published per-machine plans

Evocon collects production data through an industrial device and sensor or relay, existing PLC signals, or API requests. It supports visual OEE and comparisons across stations, factories, dates, and countries.

Evocon publishes per-machine pricing in euros: €189, €249, and €319 per machine per month for Basic, Professional, and Enterprise on a one-year agreement, and €159, €209, and €269 on a three-year agreement, billed annually (checked August 4, 2026). A US-region price list in the page's structured data lists $219, $289, and $379 on a one-year term and $189, $249, and $319 on a three-year term. Hardware, sensors, cables, displays, shipping, integrations, onsite visits, and custom development are excluded. API, single sign-on, and multi-factory scope vary by tier.

Why a team may look elsewhere: Normalize the complete hardware, integration, service, and plan-tier cost before treating the monthly license as the rollout total.

5. Factbird: best for video-supported downtime context

Factbird combines real-time production data, OEE, scheduling, downtime analysis, operator event editing, and multi-plant hierarchy. It supports edge devices, cameras, Kepware, and PLC integrations.

Video may explain a repeated jam or line-starvation sequence that a state timeline cannot. The implementation depends on the selected route. The official capture comparison assigns hardware cost and lower flexibility to the sensor route, while the richer PLC/OPC route needs infrastructure and IT services. Pricing components are public, but optional services and add-ons are left unpriced, so a final total needs confirmation.

Why a team may look elsewhere: Specify camera count, retention, edge hardware, PLC services, and line coverage before comparing costs.

6. Shoplogix: best for downtime inside a production workflow

Shoplogix's OneSignal approach uses a machine part-count signal to derive running, idle, down, starved, and microstop states. The cloud platform adds OEE, jobs, shifts, scrap, and downtime.

Operators add downtime and scrap context. ERP, API, business-intelligence, and continuous-improvement functions depend on package tier. The company supports pilot-to-multi-plant rollout but does not publish exact prices.

Why a team may look elsewhere: Confirm the floor interaction and package needed for the complete event-to-action process, not only state detection.

7. Tractian: best for downtime tied to condition and CMMS work

Tractian now offers direct OEE across availability, performance, quality, output, downtime, and dashboards. Its production layer can use analog, digital, current, and PLC data. The broader suite connects condition monitoring and CMMS tasks.

This is a strong fit when a mechanical condition alert should lead directly to planned maintenance work. Operators can label downtime and add production context. Numerical OEE pricing is tailored.

Why a team may look elsewhere: Ask for one scope that identifies production sensors, condition sensors, gateways, operator workflows, maintenance modules, integrations, service, and renewal terms.

Downtime tracking software comparison

The table is a routing aid, not a universal score. Confirm each vendor's current package, implementation scope, and total price in a written proposal.

Automatic detection is only half the system

Automatic downtime tracking should capture the timestamp and duration. It should not force an operator to remember when the machine stopped. Root-cause context is different. A machine signal may show that production ceased; it may not know whether the cause was missing material, a quality hold, a scheduled clean, a jam, or a mechanical fault.

Design the workflow accordingly:

• Let the machine or signal create the event.
• Keep the reason list short enough to use during the shift.
• Let operators confirm what they know rather than reconstruct the timeline.
• Connect work-order, job, or quality records when they carry better context.
• Review unclassified and vague events as a data-quality measure.
• Show the team which fixes came from their entries.

This division of labor is more honest than "fully automatic root cause." Automation removes the memory task. People and systems supply the operational meaning.

Pilot downtime tracking before scaling

1. Pick a high-loss representative line. Include the bottleneck and one difficult legacy asset.
2. Create a trusted event baseline. Compare detected states with observed events across several normal production periods.
3. Measure context completion. Track how many meaningful events receive a useful reason during the shift.
4. Test response. Define who receives an alert, when they act, and how unresolved events escalate.
5. Run a loss review. Use a Pareto to select one repeated cause, assign an action, and verify whether frequency or duration changes.
6. Price the expansion. Include hardware, licenses, services, integrations, support, user access, and multi-site roll-up.

Do not set a promised downtime reduction before the baseline is known. Set process criteria first: dependable event capture, useful reason completion, consistent response, repeated loss review, and floor adoption.

Start with the line that needs an answer now

Guidewheel is our recommended overall fit when mixed-equipment detection and fast floor action are the main problems. A controller, appliance, video, production-workflow, or CMMS-led specialist may be the better answer for a different operating model.