Predictive maintenance watches equipment and tries to say when it will fail, which is a different job from the CMMS that records the repair.
This guide ranks on what the sensors and their installation really cost, whether the models work without a data scientist, and how much failure history a vendor needs before predicting anything.
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In short
What predictive maintenance software does
Predictive maintenance software monitors equipment condition through sensors or existing signals, detects developing faults, and estimates how long a machine can keep running before it fails.
In this order: setup effort, what it really costs, how your data comes back out, whether
you can leave, and who each predictive maintenance tool is built for. Why those five, and why there is no
score out of ten, is on the how we work page.
Quoted per organisation; modules licensed separately or as a suite, SmartSignal also via AWS Marketplace private offer
—
Power generators and heavy process operators with turbine fleets
A single factory monitoring a few dozen pumps
Country is where the vendor is headquartered or contracts from, which is a
different question from where your data is hosted. Where the two tell different stories, the
entry says so.
Reads motor current from the cabinet instead of mounting sensors
Ranked #1 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestEurope
Measuring at the cabinet is the clever part: no mounting and no cabling on the machine, installation typically under an hour per asset, and assets in tanks or hazardous areas become monitorable for the first time. Water utilities and process plants get real value from that.
The physics also sets the boundary: belts and single-stage gearboxes show up clearly in the current, but the signal fades with each reduction stage, and Samotics itself says multi-stage gearboxes are trended rather than diagnosed. Findings arrive reviewed by its engineers, which suits plants without an analyst.
What stands out
No sensors on machine
Electrical signature
EU vendor
Where it costs you
Sees the drivetrain only through the motor's current, so multi-stage gearboxes are trended rather than diagnosed
Coverage stops where there is no motor control cabinet or compatible drive
Right for
Plants with pumps and motors that are hard or unsafe to reach
Wrong for
Diagnosing multi-stage gearboxes and fluid-coupled drivetrains in detail
NetherlandsSubscription per monitored asset, quoted
Energy monitoring first, machine condition as a second module
Ranked #2 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestEurope
Sensorfact gets sensors into plants that would never have approved a predictive maintenance budget, by leading with energy waste that finance recognises. Once the hardware is in, the vibration module is an easy addition.
What you receive is monitoring plus a human interpreting it, not a model forecasting a failure date. For most mid-sized factories that is the useful step, but the wording in the sales deck deserves reading carefully.
What stands out
Energy and vibration
Self-install sensors
SME focus
Where it costs you
Condition monitoring rather than genuine failure prediction
Deeper diagnosis relies on the vendor's consultants
Right for
Mid-sized European plants funding sensors through an energy business case
Sensors, monitoring and work orders from a single vendor
Ranked #3 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestNorth America
Buying one contract instead of three is a real advantage, and installation is quick because the sensors are glued or screwed on and talk to a receiver over the mobile network, with no IT ticket. The question arrives if a CMMS already exists.
Tractian will create work orders in Maximo or SAP from its alerts, so you need not migrate, but technicians will not work from two lists. Decide which system holds the work order before the pilot, not after.
What stands out
Hardware included
Maintenance module
Fast install
Where it costs you
The bundled maintenance module competes with your existing CMMS unless you use the integration
Proprietary hardware ties the subscription to one vendor
Right for
A plant with no CMMS wanting sensors and work orders from one supplier
Wrong for
Sites that want only a sensor feed into their CMMS and nothing else
United StatesSubscription per asset, quoted; hardware included
Condition monitoring built on the sensors a plant already buys
Ranked #4 of 16 in Best Predictive Maintenance Software in 2026.
Self-hostablePublished pricingEurope
moneo is the option that behaves like industrial equipment rather than like a subscription: an on-premises licence bought once, installed on hardware you control, with data that stays on site, and a cloud version for those who prefer rent.
For a maintenance engineering team that already specifies ifm sensors, that is coherent and independent. It is also work. Nobody interprets the data for you, the AI assistant for anomalies and remaining life is an extra, and the platform is built around ifm's own IO-Link hardware.
What stands out
Sensor manufacturer
Modular licences
On-premise
Where it costs you
Anomaly detection and remaining-life estimates cost extra as the Insights add-on
Works best when the plant standardises on ifm sensors and gateways
Right for
Engineering teams that want to run monitoring on their own server at a published price
Wrong for
Plants wanting diagnoses delivered rather than built
GermanyPublished: on-premises licences one-off from $4,489, or cloud from £35 a month; priced by credits, hardware extra
Reliability engineers who also sell the monitoring platform
Ranked #5 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestEurope
I-care sells expertise with software attached rather than the reverse, and for a plant where nobody can read a vibration spectrum that is the honest configuration.
Engineers install the sensors, review the data and tell you what to do, which removes the failure mode where alerts pile up unread. It is a service relationship with service pricing, and it does not get cheaper as your own team learns.
What stands out
Analyst service
Wireless sensors
Reliability consulting
Where it costs you
Highest ongoing cost of the options here
Little value if you intend to analyse in-house later
Right for
Plants with critical rotating assets and no reliability engineer on staff
Wrong for
Organisations building their own condition monitoring capability
Bolt-on vibration sensors for the balance of plant
Ranked #6 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestEurope
OPTIME exists because the economics of traditional condition monitoring only ever worked for critical machines, leaving the rest to run to failure. Fixing a cheap sensor onto a fan and letting it join a mesh network changes that arithmetic.
What you get back is a bearing-focused verdict rather than an engineer's analysis, and Schaeffler's interest in selling bearings is visible in the framing. Correct for breadth, wrong for depth.
What stands out
Low cost per point
Self-install
Bearing expertise
Where it costs you
Shallow diagnostics compared with dedicated analysis platforms
Pulls the plant towards one component manufacturer
Right for
Covering hundreds of secondary machines that were never monitored
Wrong for
Deep analysis of a small number of critical assets
GermanySensor purchase plus annual subscription, quoted
Condition monitoring from the company that makes the bearings
Ranked #7 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestEurope
SKF has been diagnosing bearing failures longer than most of this list has existed, and the hardware survives environments where consumer-grade sensors do not. Buying the analysts alongside it is a sensible option for plants without their own.
The frustration is commercial clarity: the portfolio has been renamed and restructured repeatedly, so working out which product you are being quoted, and what it excludes, takes persistence.
What stands out
Rotating equipment
Analyst option
Industrial hardware
Where it costs you
Product naming and portfolio boundaries change often
Everything is quoted through a sales engineer
Right for
Heavy industry with critical rotating equipment in harsh conditions
Wrong for
Buyers who want to compare a published price before a meeting
SwedenHardware purchase plus subscription and analyst services, quoted
Machine health diagnostics with a trained model behind them
Ranked #8 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestNorth America
The distinguishing feature is the output. Instead of a spectrum for someone to interpret, you get a named fault, a severity and a recommended action, which is what allows a maintenance planner with no vibration training to act.
That accuracy comes from a large training set of rotating machines and is confined to them. The subscription is per machine per year, so covering a whole plant is a budget conversation, not a pilot.
What stands out
Named diagnoses
Rotating equipment
Managed service
Where it costs you
Limited to rotating equipment
Per-machine subscription becomes large across a plant
Right for
Plants with many motors, pumps and fans and no vibration specialist
Wrong for
Presses, robots and equipment outside the rotating class
United StatesSubscription per machine per year, quoted
Multi-sensor wireless monitoring with automated remaining-life estimates
Ranked #9 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestNorth America
Nanoprecise automates what I-care and Waites do with people: the sensors collect several signals at once, and the software names the developing fault and estimates how long the machine has left.
That scales across many assets without an analyst on the payroll. The trade is trust in a model you do not own, sensors that only talk to its platform, and a vendor still small enough that its future is worth asking about.
What stands out
Wireless sensors
Automated diagnosis
Energy insight
Where it costs you
Its own sensors, so hardware and software leave together
Young vendor with a small support organisation
Right for
Plants covering many rotating assets without an in-house vibration analyst
Wrong for
Process plants wanting models on existing historian data
Wireless condition sensors for reliability teams that read their own data
Ranked #10 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestNorth America
Petasense suits the plant that already has a reliability engineer: the sensors install without cabling, the software turns vibration and temperature into a health score and trends, and the engineer decides what an alarm means. That keeps the running cost below a service model like Waites or I-care.
The flip side is that nobody interprets the data for you, the transmitter's third-party sensor inputs stretch it to valves and steam traps as well as rotating machines, and a European plant will be supported from the United States.
What stands out
Wireless vibration
Self-service
Rotating equipment
Where it costs you
Fault diagnosis is less specific than Augury's
Sales and support are American with little European presence
Right for
Reliability teams with an analyst who wants sensor data and trends
Wrong for
Plants wanting someone else to diagnose every alert
United StatesSubscription per monitored asset, quoted; sensors bought or bundled
Wireless condition monitoring built for plants with thousands of sensors
Ranked #11 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestNorth America
KCF's case is deployment at volume: wireless sensors on every motor, pump and fan across dozens of plants, with an IoT hub that also takes third-party sensors and covers intermittent kit such as cranes and robots. Georgia-Pacific, with around 62,000 sensors, is the reference customer.
You choose how much of KCF's staff you buy, from none to a dedicated analyst, and a $199 trial makes a first look cheap. The references and the services still assume a large rollout, and European support is limited compared with Schaeffler or SKF, who sell locally.
What stands out
Large deployments
Wireless vibration
Analyst tiers
Where it costs you
Commercial model and references are geared to large, multi-site rollouts
Quoted pricing, with analyst support depending on the tier bought
Right for
Multi-site manufacturers instrumenting thousands of rotating assets across many plants at once
Wrong for
A single plant monitoring a few critical machines
United StatesQuoted; capex or subscription across three tiers; $199 30-day trial with 48 sensors
Wireless sensors with vibration analysts watching the data around the clock
Ranked #12 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestNorth America
The analyst team is the product: data from wireless sensors is screened by machine learning and reviewed around the clock by certified analysts, and the plant receives a finding rather than a spectrum. For a site without reliability staff that is the fastest route to useful alerts, and it mirrors I-care's model.
It also means the knowledge stays with Waites and the subscription runs indefinitely. Waites claims service and installation teams worldwide and support in 16 languages, but the company is run from Cincinnati, so ask who covers your region.
What stands out
Analyst service
Wireless vibration
Condition monitoring
Where it costs you
Interpretation depends on the vendor's analysts
Run from Cincinnati; check who installs and supports your site locally
Right for
Plants without an in-house vibration analyst wanting reviewed alerts
Wrong for
Teams that plan to own and run the analysis themselves
United StatesSubscription per monitored asset, quoted; sensors and analysts included
Prediction layer over data you already collect, with no new sensors
Ranked #13 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestEurope
Senseye is attractive because it skips the hardware project entirely: point it at the data you already collect and it estimates remaining useful life across thousands of assets. Where the tags are rich and failures were recorded, that scales in a way sensor-based products cannot.
Where the data is sparse, it produces very little and says so late. Since the Siemens acquisition it is sold as Senseye Predictive Maintenance, with Siemens advisory and implementation services alongside the cloud application.
What stands out
Sensor agnostic
Siemens owned
Scales to many assets
Where it costs you
Only as good as the signals your systems already record
Now sold by Siemens as a solution bundle, so scope and price take a conversation
Right for
Large asset bases with existing controller and historian data
Wrong for
Plants with no historian and no maintenance history
GermanySubscription per asset, quoted through Siemens
Anomaly detection on historian data in process plants
Ranked #14 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestEurope
The approach is sound for continuous processes: learn what normal looks like from years of historian tags, then flag the drift before an operator notices. Refineries and utilities have run it for years.
The unspoken requirement is a person. Models need building per asset, alarms need tuning, and the work never stops, so the product succeeds in organisations with a reliability engineering function and quietly dies in those without one.
What stands out
Process industry
Historian based
Model per asset
Where it costs you
Each asset still needs a model validated and maintained, even with templates
False alarms need continuous tuning by someone competent
Right for
Process plants with a historian and an engineer to own the models
Wrong for
Sites without existing process data or a reliability engineer
United KingdomSubscription credits under AVEVA Flex, quoted
Failure-pattern models for refineries and chemical plants
Ranked #15 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestNorth America
Mtell is one of the few products here that genuinely predicts rather than detects, because its agents learn the signature that preceded past failures and watch for it again. AspenTech now leads with industry asset templates for basic asset health, which gives something useful before any failures are labelled.
The prediction layer still has nothing to learn from without them, and many buyers discover this after signing. If your maintenance history is a text field nobody filled in consistently, budget a year of data work first.
What stands out
Process industry
Failure agents
Enterprise
Where it costs you
Needs labelled failure history that most plants do not have
Enterprise licence and a long deployment
Right for
Refineries and chemical plants with recorded failure history
Wrong for
Plants whose maintenance records are free text and incomplete
United StatesQuoted per organisation; enterprise licence
Asset performance management for power and heavy process
Ranked #16 of 16 in Best Predictive Maintenance Software in 2026.
Pricing on requestNorth America
The SmartSignal model library is the asset here: digital twin blueprints for more than 330 industrial asset types, built on years of remote monitoring across turbines and large rotating equipment, which is not something a newer vendor can assemble quickly.
For a generator with a fleet, the reference cases are real. SmartSignal can be licensed alone, and GE Vernova sells it through AWS Marketplace, but the wider APM suite carries enterprise weight. Smaller plants comparing it against Augury or Samotics are comparing different categories of purchase.
What stands out
Power generation
SmartSignal models
Programme-sized
Where it costs you
The full suite is an enterprise programme with modules and a long rollout
Overscaled for a single manufacturing site
Right for
Power generators and heavy process operators with turbine fleets
Wrong for
A single factory monitoring a few dozen pumps
United StatesQuoted per organisation; modules licensed separately or as a suite, SmartSignal also via AWS Marketplace private offer
Predictive maintenance software monitors equipment condition through sensors or existing signals, detects developing faults, and estimates how long a machine can keep running before it fails. The differences that matter are rarely in the feature list, so this is
the order we would work through them.
01
Decide whether you need a published price
1 of the 16 tools here publish what they cost; the other 15 quote per organisation. The ones you can compare without a sales call: ifm moneo.
02
Decide how much the jurisdiction matters
These 16 vendors are established in 7 countries across 2 regions (North America 8, Europe 8). That decides whose disclosure law applies to what the vendor holds, wherever the servers are.
Most installations never reach prediction
The uncomfortable finding in this market is that a large share of deployments stop at condition monitoring and never predict anything. Prediction needs three things at once: sensor data at a useful sampling rate, a maintenance history that records why each machine stopped, and enough labelled failures of the same type for a model to learn from. Almost no plant has the third.
A pump that failed twice in five years, described in free text as bearing noise, is not a training set. Aspen Mtell is honest about this precondition and Senseye inherits whatever your historian holds. That is not an argument against buying. It is an argument for buying the monitoring, calling it monitoring, and starting to record failures properly today.
Count how many failures of one machine type you can describe with a date and a cause.
Ask the vendor what their model does in its first six months with no failure history.
Agree a failure coding standard for the CMMS before the sensors arrive.
This is not the CMMS, and the overlap is sold hard
Condition monitoring detects the fault. The CMMS raises the work order, holds the spare part, and records what the technician did. Two systems, and every vendor here would like to be both. Tractian bundles a maintenance module because a plant with no CMMS finds that convenient, and it is convenient, up to the point where you already have one, at which point its Maximo or SAP integration is the part to test.
The question to settle before signing is which system holds the work order, because if both do, technicians will use the one they already had and the alerts will pile up unread in the other. An integration that creates a work order from an alert, and closes the loop when it is completed, is worth more than any dashboard.
Name the single system of record for work orders, in writing, before the pilot.
Ask to see the CMMS integration working, not a slide describing it.
Check whether a completed repair feeds back into the model as a label.
What it costs to instrument a machine
The subscription is quoted per asset and looks manageable until you count the assets. Then there is the part nobody quotes: cable runs, an electrician, network coverage in a steel building, and a shutdown window to mount anything on a rotating shaft. This is why the products differ more in installation than in analytics.
Samotics reads the motor cabinet and touches no machine at all. Schaeffler OPTIME is fixed on and joins its own mesh. ifm moneo assumes you were buying sensors anyway. Senseye adds nothing physical and uses signals you already have. Price a pilot of ten machines end to end, including the electrician, and then multiply honestly.
Get an installed price per monitoring point, not a sensor price.
Walk the plant with the vendor and check network coverage at the worst location.
Ask what happens to the sensors and the data if you stop paying.
Who reads the alert at seven on a Monday morning
Every product here will eventually send an alert that turns out to be a loose sensor. What separates them is whether a human filters that before it reaches your technicians. I-care, SKF Enlight and Samotics put an analyst in the loop and charge for it, which is the right trade for a plant with no vibration specialist.
Augury does it with a model trained to name the fault rather than show a spectrum. AVEVA Predictive Analytics hands you the tuning job and expects you to have someone. Pick according to who you actually employ, because an alert stream nobody triages is turned off in month four, and the subscription runs to the end of the term.
Name the person who receives alerts and the one who acts when they are away.
Ask for the false alarm rate per hundred assets per month, in writing.
Agree an escalation path before go-live, not after the first missed alert.
What goes wrong most often when buying predictive maintenance software
Buying prediction when you have no failure history. Start recording causes in the CMMS this quarter; the models can come later.
Instrumenting the machines that are easy to reach instead of the ones whose failure stops the line.
Letting the condition monitoring tool issue work orders in parallel with the CMMS. Technicians follow one list, and it will not be the new one.
Judging the pilot on alerts generated. The only numbers that count are failures caught early and repairs that were avoided.
07
Frequently asked questions
7 answers
What is the best predictive maintenance in 2026?
Samotics leads our ranking of 16. SAM4 measures voltage and current at the motor control cabinet, or reads them from an ESA-enabled ABB drive, so nothing is mounted on the machine and submerged or inaccessible assets can still be watched.
That also defines the limit: it sees what shows up in the motor's electrical signature, which is strong for belts and single-stage gearboxes and only trends multi-stage gearboxes rather than diagnosing them. Samotics engineers review findings before they reach your dashboard or CMMS.
Which predictive maintenance tools publish their pricing?
1 of the 16, with the pricing model each one publishes:
ifm moneo: Published: on-premises licences one-off from $4,489, or cloud from £35 a month; priced by credits, hardware extra.
The other 15 quote per organisation.
Is there a free predictive maintenance tool?
No. None of the 16 offer a usable free tier.
Where are these predictive maintenance vendors established?
In 7 countries across 2 regions: North America 8, Europe 8.
Samotics: Netherlands.
Sensorfact: Netherlands.
Tractian: United States.
ifm moneo: Germany.
I-care: Belgium.
Schaeffler OPTIME: Germany.
SKF Enlight: Sweden.
Augury: United States.
Nanoprecise: Canada.
Petasense: United States.
KCF Technologies: United States.
Waites: United States.
Siemens Senseye Predictive Maintenance: Germany.
AVEVA Predictive Analytics: United Kingdom.
Aspen Mtell: United States.
GE Vernova APM: United States.
Which predictive maintenance tools can you host yourself?
ifm moneo. The other 15 are hosted by the vendor only.
What should you use instead of Samotics?
Sensorfact and Tractian are the next two on this page. Sensorfact is for Mid-sized European plants funding sensors through an energy business case; Tractian is for a plant with no CMMS wanting sensors and work orders from one supplier.
Who should not buy Samotics?
Diagnosing multi-stage gearboxes and fluid-coupled drivetrains in detail. Sees the drivetrain only through the motor's current, so multi-stage gearboxes are trended rather than diagnosed.
If your predictive maintenance product belongs among these 16, tell us what it does and who it is for. Inclusion is an editorial call; what a listing is and is not is set out under software advice.
