The best predictive maintenance software in 2026 is the one that reads the data your plant already produces and opens a work order someone will act on; for pumps and motors that is a sensor-first platform, for CNC machines a controller-data platform, and for a plant still running work orders in a spreadsheet it is a CMMS first. Nineteen tools below, sorted by that logic, with one fact quoted from each vendor’s page and prices only where the vendor publishes one (four of nineteen do). The longer comparison, with the P-F interval and what happens after the alert, is at the twelve predictive maintenance tools compared. If you need run, stop and OEE rather than failure prediction, compare machine monitoring software.
In this guide
How were these tools chosen?
What is the best predictive maintenance software for rotating equipment?
What is the best CMMS with condition-based triggers?
What is the best enterprise APM on existing plant data?
What is the best tool for CNC and discrete machine data?
Which tools are adjacent but not predictive maintenance?
Which predictive maintenance vendors publish a price?
Where does Morsa fit?
Sources
How were these tools chosen?
Every tool below either ranks or is cited for “predictive maintenance software”, appears in the practitioner threads on that query, or is named as a sensor partner by a CMMS on the list, and every one was placed by what its own site says on 19 September 2026. Four vendors could not be read that day: Nanoprecise (bot wall; facts from 12 September), SKF, Honeywell Forge and Uptake (no readable content; left out).
The category is worth sorting carefully because adoption is uneven. Siemens’ 2024 study of 181 large industrial firms found nine in ten do some condition monitoring and almost half have dedicated predictive maintenance teams (Siemens), while Limble’s September 2026 survey of 686 US maintenance and operations employees found 74% of maintenance organizations have critical assets that depend on one person’s knowledge (Limble via PR Newswire, vendor survey). NIST’s split for US discrete manufacturers was 17.3% predictive, 31.8% preventive and 45.7% reactive (NIST AMS 100-34, 2016 data).
What is the best predictive maintenance software for rotating equipment?
A sensor-first platform where the vendor sells the sensor and does the diagnosis, for pumps, motors, compressors, fans and gearboxes. None publishes a subscription price; one publishes a trial price.
Augury
Sourced fact (vendor’s own page): Sensors “capture vibration, temperature, and magnetic data”; work orders trigger in “SAP PM, IBM Maximo, and Infor EAM”; “200+ asset types”
Sells sensors: Yes
Price: No public price
Tractian
Sourced fact (vendor’s own page): “Wireless sensors install in minutes and sample vibration, ultrasound, temperature, and RPM data over 4G/LTE.”; CMMS built in; integrations named: Oracle NetSuite, SAP, IBM Maximo
Sells sensors: Yes
Price: No public price
Nanoprecise
Sourced fact (vendor’s own page): Six-in-one wireless sensor; partner page says its solution “is best suited for Enterprise customer projects” (12 September 2026; site blocked re-read)
Sells sensors: Yes
Price: No public price
Fluke Reliability, eMaint plus Azima
Sourced fact (vendor’s own page): “When a reading crosses a configured threshold, a work order is triggered with the asset record, maintenance history, and parts lookup already attached.”
Sells sensors: Yes (Accel 310)
Price: No public price; 3 and 5 user minimums
AssetWatch
Sourced fact (vendor’s own page): “Our 30-day, risk free trial is only $199,” including “professional installation of up to 200 sensors” and “a dedicated CME for your site”
Sells sensors: Yes
Price: $199 for the trial; no ongoing price published
Petasense
Sourced fact (vendor’s own page): Sells vibration, temperature, ultrasound, pressure and current motes; cloud can “Integrate with process historians and CMMS” (no names given)
Sells sensors: Yes
Price: No public price
Waites
Sourced fact (vendor’s own page): “Our international team of certified vibration analysts and reliability engineers analyze the incoming data and analyze your equipment 24/7.”; listed as a MaintainX integration
Sells sensors: Yes
Price: No public price
Emerson AMS Machine Works
Sourced fact (vendor’s own page): “unites all modern AMS condition monitoring hardware data under a single platform,” including handheld route data from the AMS 2140 analyzer
Sells sensors: Yes (Emerson hardware)
Price: No public price
What is the best CMMS with condition-based triggers?
A CMMS with meter, threshold and sensor triggers, for plants whose first problem is untracked work rather than undetected failure. This is the only group where prices are published. Best manufacturing software picks a CMMS alongside ERP, MES and QMS.
MaintainX
Sourced fact: Machine data via partners: MachineMetrics, Samsara, Ignition, Waites; ERPs SAP, NetSuite, Dynamics 365, Infor
Sells sensors: No
Price: $0 / $20 / $65 per user per month billed annually ($25 / $75 monthly); Enterprise custom
Limble
Sourced fact: Sensor partners Augury, AssetWatch, AVEVA, Monnit, Samsara; ERPs Business Central, NetSuite, QuickBooks Online, SAP S/4HANA
Sells sensors: No
Price: No public price; every tier “Calculate my price”
UpKeep
Sourced fact: Edge sensors monitor “temperature, humidity, air quality” and “current, voltage, resistance, and electrical signals”; “Sensor data flows into UpKeep work orders, asset records, and reports”
Sells sensors: Yes (Edge)
Price: $24 / $55 per user per month; Professional and Enterprise quote
Fiix by Rockwell Automation
Sourced fact: “Connect Fiix to your operational hardware and software: systems like MES, DCS, and SCADA, devices like PLCs, HMIs, and sensors”
Sells sensors: No
Price: $0 / $45 / $75 per user per month; Enterprise custom; “additional costs apply” for Integration Hub
What is the best enterprise APM on existing plant data?
Analytics over a historian, PLC tags or IoT data the plant already collects, for multi-site operations with an IT team. None sells sensors; one publishes a floor price.
Siemens Senseye
Sourced fact: “Senseye Cloud works with your existing data from legacy machines, historians, IoT platforms or new sensors.”; “Contact us for sales and pricing information.”
On-premise: No (cloud)
Price: No public price
IBM Maximo Application Suite
Sourced fact: “comes in two packages: client managed software or software as a service (SaaS)”; “minimum 12-month non-cancellable agreement”
On-premise: Yes
Price: Maintenance “Starting under US$ 40K per year”; Inspection “Starting under US$ 47K per year”
AVEVA Predictive Analytics
Sourced fact: “provides time-to-failure forecasting and remedial actions”; Flex subscription “spans any mix of cloud, hybrid and on-premises solutions”
On-premise: Yes (Flex)
Price: No public price
GE Vernova APM
Sourced fact: “APM software should give organizations the ability to integrate with EAM, CMMS, historians and other data sources.”
On-premise: Not stated on page
Price: No public price
C3 AI Reliability
Sourced fact: Will “unify data from various sources such as sensor data, documents, and process diagrams”
On-premise: Not stated on page
Price: No public price
What is the best tool for CNC and discrete machine data?
A controller-data platform, because sensor-first vendors list pumps and motors, not machine tools. One product defines this group.
Product | Sourced fact | Price |
|---|---|---|
Connectivity over “OPC UA, FOCAS, MTConnect, EtherNet/IP, Modbus TCP, and MQTT”; controllers named include Fanuc, Okuma and Doosan; “Deploy MachineMetrics Edge as industrial hardware or as a VM on infrastructure you already own.”; syncs “in-cycle hours and cycle counts as meters so preventive maintenance fires on real usage instead of a date” to MaintainX or Fiix. The homepage now also describes “An MES built for volume.” | No public price |
Which tools are adjacent but not predictive maintenance?
Two products that come up on this query sell something else, and a buyer should know before the demo.
Product | What it is, in the vendor’s words | Why it is not on the lists above |
|---|---|---|
“asset-centric field service management” on the Salesforce platform that “optimizes technician productivity” | Field service dispatch, not condition-based failure prediction | |
“spot potential problems earlier and prevent downtime with fault code alerts”; asset gateways for “engine diagnostics” | Location, utilization and engine fault codes for mobile equipment, not vibration-based machine health; appears as a sensor partner inside MaintainX and Limble |
Which predictive maintenance vendors publish a price?
Four of nineteen publish a subscription price, one publishes a trial price, and fourteen quote. Every published figure was re-read on 19 September 2026 and none had changed since 12 September.
Publishes a subscription price | Publishes a trial price | Quote only |
|---|---|---|
MaintainX ($0 / $20 / $65 per user per month, annual) | AssetWatch ($199 for 30 days) | Augury, Tractian, Nanoprecise, Fluke Reliability, Petasense, Waites, Emerson, Limble, Senseye, AVEVA, GE Vernova, C3 AI, MachineMetrics, ServiceMax |
Fiix ($0 / $45 / $75) | ||
UpKeep ($24 / $55, upper tiers quote) | ||
IBM Maximo (from under US$40K per year) |
Two costs sit outside every figure: sensor hardware, which no vendor prices publicly, and integration, which a practitioner in the r/Grid_Ops thread on this query called “usually the real cost, not the license.”
Where does Morsa fit?
Morsa, the AI that operates the factory for you, does not predict failures and is not a candidate on any list above. It runs the loop that starts when the prediction lands: it reads the alert or work order from whichever tool above you choose, the schedule in the ERP or MES, and the maintenance and planning conversations in whatever channel the plant runs on; works out which jobs and customer orders the failure date hits; proposes the resequence and the parts order within the plant’s approved rules; routes each piece to its owner; and closes on proof. Every tool above stays where it is. At JRG Automotive it caught 5 of 8 production-stopping shortages early enough to act and saved the plant $2 million; at J4S, on-time completion of commitments rose from about 30% to about 75% in four weeks (how a 120-person glass plant did it). How it works: AI copilot for manufacturing.
Whichever of the nineteen you pick, the prediction is not the outcome. A failure date lands in a work order, the schedule in the ERP still says Thursday, and the plan drifts from the floor between the two. Morsa is the layer that catches the drift: it reads the alert, the schedule and the maintenance conversation, works out which orders the date hits, routes the resequence and the parts order to their owners in the channels they already use, and closes each on proof. It is the only product on this page that guarantees the outcome, “We’ll catch a shortage in your plant, or you don’t pay,” and prices on the value a pilot proves rather than per user or per asset. How Morsa is priced.
Sources
Vendor pages read 19 September 2026, linked inline; Nanoprecise from 12 September 2026. NIST AMS 100-34, June 2020, https://nvlpubs.nist.gov/nistpubs/ams/NIST.AMS.100-34.pdf. Siemens, The True Cost of Downtime 2024, https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf. Limble via PR Newswire, 9 September 2026, https://www.prnewswire.com/news-releases/limble-to-unveil-new-state-of-maintenance-research-at-2026-maintenance-hero-summit-302873120.html. Reddit r/Grid_Ops, 21 July 2026, https://www.reddit.com/r/Grid_Ops/comments/1v2y5m7/what_predictivemaintenance_software_are_you/. Full verification notes in the sources listed on this page.
Changelog
21 September 2026: added a closing paragraph to the Morsa section on the plan drifting from the floor whichever tool is chosen, the guarantee, and the pricing model, with a link to /pricing.
