Top 30 Predictive Maintenance Software

Curated list of the top 30 predictive maintenance solutions tailored for small manufacturing plants, covering CMMS platforms, IoT services, and AI‑driven analytics.

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#2 UpKeep

Mobile‑first CMMS with easy work‑order creation, asset tracking, and real‑time alerts; ideal for small shops that need quick deployment.

#3 Fiix

Cloud‑based CMMS offering predictive analytics, KPI dashboards, and integrations with popular IoT sensors; scalable pricing for SMBs.

User‑friendly interface, drag‑and‑drop scheduling, and built‑in reporting; great for teams without extensive IT support.

Robust CMMS with customizable dashboards and a strong focus on reliability engineering; offers a free tier for very small operations.

Modern CMMS with mobile work orders, asset health scoring, and simple API connections to shop‑floor sensors.

Comprehensive maintenance suite with predictive analytics modules; pricing plans include a “Small Business” tier.

Asset management platform that adds QR‑code tracking and basic predictive alerts; low‑cost entry point for manufacturers.

CMMS focused on preventive maintenance calendars and KPI reporting; easy to set up for plants with ≤50 assets.

Web‑based maintenance tool with built‑in condition‑monitoring widgets; free for schools and small manufacturers.

IoT platform that streams machine data to a cloud dashboard, providing real‑time health scores and failure predictions.

#12 Tulip

Low‑code manufacturing app builder that includes predictive maintenance workflows and sensor integration without heavy coding.

#13 Uptake

AI‑driven asset performance platform offering anomaly detection and prescriptive recommendations; offers a SMB‑focused subscription.

Enterprise AI for equipment health that can be scaled down via modular APIs; provides out‑of‑the‑box models for motors and pumps.

Microsoft’s managed IoT SaaS with templates for predictive maintenance; pay‑as‑you‑go pricing suits small plants.

Asset Performance Management suite with AI analytics; offers a cloud starter plan for midsize manufacturers.

Integrated SAP solution that leverages sensor data for failure prediction; available as a lightweight cloud add‑on.

Rapid IoT application development platform with built‑in analytics for condition‑based maintenance; modular pricing for small deployments.

Open IoT operating system that provides predictive maintenance apps; offers a community edition with limited data volume.

Enterprise performance management suite with a dedicated predictive maintenance module; flexible cloud licensing for SMBs.

AI platform that includes pre‑built predictive maintenance models; can be provisioned on a small scale via SaaS.

Industrial IoT platform offering asset health analytics; provides a starter tier for limited device counts.

Cloud‑based data hub for Fluke handheld meters, delivering simple trend analysis and early‑fault alerts.

#24 SensrTrx

Edge‑to‑cloud platform that aggregates sensor streams and runs predictive algorithms; pay‑per‑device model works for small factories.

#25 Akselos

Digital twin technology that simulates equipment stress and predicts failure; offers a lightweight cloud package for SMEs.

Industrial AI platform with ready‑made predictive maintenance models for rotating equipment; subscription pricing starts at $99/month.

Cloud service that collects vibration data from SKF sensors and delivers AI‑based fault diagnostics.

#28 Dingo

No‑code IoT platform that lets users build predictive maintenance dashboards from CSV or MQTT feeds.

IT‑focused asset management with predictive capabilities that can be extended to manufacturing equipment via APIs.

Integrated with ServiceNow ITSM, this module adds sensor ingestion and AI‑driven failure forecasts; available as an add‑on for existing ServiceNow tenants.