Best Predictive Maintenance Software (2026): 11 Tools

Run-to-failure seems sensible until a key motor dies on a Friday night. Fixed schedules aren't much better, because you end up replacing parts that had years left while missing the ones about to fail.

The eleven tools below are listed alphabetically and in no particular order, and every description comes from the vendor's own website, read this week. My piece on predictive maintenance in fulfilment centres shows what this looks like away from the factory floor.

Predictive maintenance software compared

I checked the free plan column on each tool's own website, as of Oct 2026. Yes means the site names a free plan, a free version, a free account or an open source edition. Trial only means a time-limited trial. Not stated means the pages I read named neither, even where there's a button inviting you to try it, so check the vendor's page before you sign up.

Tool	Type	Good for	Free plan
AssetWatch	Condition monitoring service	Plants wanting monitoring done for them	Not stated
Augury	Industrial AI for machine health	Manufacturers wanting AI agents too	Not stated
Factory AI	Predictive maintenance and CMMS	Mid-sized manufacturers with existing sensors	Yes
KCF Technologies	AI predictive maintenance platform	Sensors, software and experts together	Not stated
Nanoprecise	Automated predictive maintenance	Alerts that cut through the noise	Not stated
Oxmaint	Maintenance and asset performance	Smaller teams starting with a CMMS	Not stated
Petasense	Wireless condition monitoring	Plug-and-play vibration sensors	Not stated
Samotics	Electrical signature monitoring	Assets sensors can't reach	Not stated
Senseye Predictive Maintenance	Predictive maintenance from Siemens	Scaling beyond pilot projects	Not stated
Tractian	AI hardware and software	Moving from reactive to predictable	Not stated
Waites	Condition monitoring and prescriptive maintenance	Vibration analysis with clear actions	Not stated

Eleven predictive maintenance tools worth a look

AssetWatch

Best for: Industrial plants that want an end-to-end condition monitoring service, combining sensors and software with human monitoring engineers.

Augury

Best for: Manufacturing teams who want machine health monitoring combined with operational data and role-based AI agents to keep production running.

Factory AI

Best for: Mid-sized manufacturers who want sensor-agnostic predictive maintenance and a CMMS together, with a free plan for small teams.

KCF Technologies

Best for: Industrial businesses who want accurate sensors, AI software and a team of experts bundled into one predictive maintenance platform.

Nanoprecise

Best for: Reliability teams who want automated AI-based predictive maintenance that surfaces the alerts that matter rather than every reading.

Oxmaint

Best for: Maintenance teams who want a mobile-first CMMS with asset performance management, so condition data and work orders live together.

Petasense

Best for: Plant engineers who want plug-and-play wireless vibration sensors on rotating machines, with AI apps for trends and real-time alerts.

Samotics

Best for: Water, wastewater and industrial operators who need to monitor submerged pumps and motors from the electrical cabinet instead of the machine.

Senseye Predictive Maintenance

Best for: Larger organisations struggling to move predictive maintenance beyond isolated use cases and wanting help with fragmented data and alert overload.

Tractian

Best for: Asset-heavy operations that want AI-powered sensors and software to turn reactive maintenance into predictable, data-driven work.

Waites

Best for: Maintenance teams who want AI-powered condition monitoring and vibration analysis that points to the next action, not just a warning.

Where to start

• Mid-sized plants with existing sensors: Factory AI.
• Monitoring done for you: AssetWatch or KCF Technologies.
• Plug-and-play vibration sensors: Petasense or Waites.
• Pumps and motors you can't reach: Samotics.
• Scaling beyond a pilot: Senseye Predictive Maintenance or Augury.
• AI alerts with less noise: Nanoprecise or Tractian.
• Starting with a maintenance system: Oxmaint.

The alert isn't the end of the job

The Health and Safety Executive (HSE) says the Provision and Use of Work Equipment Regulations require all work equipment to be maintained in an efficient state, in efficient order and in good repair, and where machinery has a maintenance log, the log is kept up to date.

That's a good test for any vendor. A warning on a dashboard helps nobody unless it becomes a work order, the fix gets done and the log shows it, so ask how alerts flow into your maintenance records.

Sensors, service or software?

Hardware-led vendors fit their own wireless sensors and read the data for you. That's the quickest route when you've got no monitoring today and a small team.

Software-led tools work with the sensors, historians and control systems you already have. They need cleaner data and someone to own it, but they avoid a second set of hardware on every machine.

Spares need to be on the shelf when a warning fires, and this list of parts inventory software sets out tools that track them.

Questions to ask before you choose

1. Which machines would hurt most if they failed tomorrow?
2. Do we need new sensors, or can we use existing data?
3. Who reads the alerts: us or the vendor's analysts?
4. How do alerts turn into work orders?
5. Does it cover pumps and motors in hard-to-reach places?
6. How long until the first useful warning?

For vehicles rather than factory machines, this guide to fleet maintenance tools compares software that schedules servicing.

Signs you're ready for predictive maintenance

• The same motor keeps failing. Monitor it first.
• Planned servicing finds nothing wrong. Move to condition-based work.
• Downtime surprises the team. Add early warnings.
• Data sits unused in the control system. Put it to work.

Do you make predictive maintenance or condition monitoring tools? Tool makers can ask to be considered for a featured place on this list.

My plain advice on predictive maintenance software

Start with ten critical machines, not the whole plant. Pick the assets whose failure stops production, monitor them for a few months and count the faults caught early, because that tells you whether to roll out further.

Make sure the maintenance team trusts the alerts before you scale. Too many false alarms and people stop looking. My piece on how new tools are changing manufacturing covers where this sits in a modern plant.

Frequently asked questions

What is predictive maintenance software?

It monitors machine condition, such as vibration, temperature or electrical signals, and uses that data to warn you about developing faults before they cause a breakdown.

Do I need new sensors?

Not always. Some tools fit their own wireless sensors, while others work with sensors, historians and control systems you already have.

How is it different from a CMMS?

A CMMS manages work orders and maintenance records. Predictive maintenance software spots faults early, and the best setups send those warnings straight into the CMMS.

Is there free predictive maintenance software?

A few vendors offer free plans for small teams, but most sensor-based services start with a demo or an assessment, so ask each vendor.

Which machines should I monitor first?

Start with the assets whose failure would stop production or create a safety risk, then expand once the alerts prove useful.

Does the law require maintenance records?

In Great Britain, HSE says work equipment must be kept in good repair and any maintenance log must be kept up to date.