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Enterprise‑grade EAM with AI‑powered predictive maintenance, IoT integration, and robust work‑order automation.
SAP’s suite combines Asset Strategy & Planning, Predictive Maintenance, and Asset Intelligence Network for end‑to‑end asset insight.
#4 Infor EAM
Cloud‑based EAM with built‑in analytics, condition‑based monitoring, and mobile work‑order execution.
Integrated asset lifecycle solution featuring predictive analytics, IoT data capture, and service management.
AI‑driven platform that aggregates sensor data to predict failures and optimize maintenance schedules.
Industrial‑scale predictive maintenance suite leveraging digital twins and advanced analytics.
Open IoT operating system that provides real‑time asset monitoring, anomaly detection, and prescriptive insights.
AI platform that ingests equipment data to deliver failure forecasts, ROI‑focused recommendations, and actionable alerts.
Cloud‑based CMMS with built‑in predictive maintenance modules, IoT connectors, and KPI dashboards.
Scalable maintenance platform offering condition‑based monitoring, mobile work orders, and analytics reporting.
User‑friendly mobile‑first CMMS with predictive alerts, sensor integration, and real‑time dashboards.
#13 Asset Panda
Flexible asset tracking solution that adds predictive maintenance via custom fields, QR codes, and API‑driven analytics.
Fully managed IoT SaaS that enables rapid deployment of predictive maintenance models using Azure AI services.
Industrial IoT platform offering digital twins, edge analytics, and AI‑based failure prediction.
Cloud‑enabled asset health solution that aggregates sensor data for predictive insights and lifecycle optimization.
Enterprise analytics suite delivering condition‑based monitoring, predictive alerts, and prescriptive actions.
AI‑driven SaaS that uses machine learning on historical sensor data to forecast equipment failures.
Combines vibration analysis, oil analysis, and AI to predict wear and schedule maintenance proactively.
Compliance‑focused EAM with predictive maintenance dashboards, risk scoring, and mobile inspections.
Machine‑learning platform that ingests PLC/SCADA data to deliver failure probability scores and maintenance recommendations.