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#2 IBM Maximo
Comprehensive EAM suite with AI‑driven predictive maintenance, IoT integration, and robust work‑order automation for plant‑level assets.
#3 SAP EAM
Enterprise‑grade asset management combined with SAP Predictive Maintenance and Service, delivering real‑time condition monitoring for heavy equipment.
#4 Infor EAM
Scalable EAM platform with built‑in analytics and predictive maintenance modules tailored for mining, utilities, and transportation.
#5 Oracle eAM
Asset management integrated with Oracle Cloud Infrastructure, offering predictive analytics and IoT data ingestion for large‑scale industrial assets.
Full‑stack EAM with advanced predictive maintenance, field service, and mobile capabilities for aerospace, energy, and heavy manufacturing.
Cloud‑based platform that combines ABB’s condition monitoring sensors with AI to predict failures in power generation and heavy‑industry plants.
Asset Performance Management solution leveraging Predix IoT data to deliver prescriptive maintenance for turbines, compressors, and heavy equipment.
Product lifecycle management suite with integrated predictive maintenance analytics for manufacturing lines and large‑scale machinery.
IoT‑enabled asset health platform that provides real‑time diagnostics and predictive insights for electrical distribution and industrial automation.
Infrastructure asset management system with predictive analytics for rail, roads, and utilities, supporting large‑scale civil projects.
#12 Uptake
AI‑driven predictive maintenance platform that ingests sensor data from heavy‑industry equipment to forecast failures and optimize uptime.
Machine‑learning platform delivering predictive maintenance for high‑value assets such as compressors, pumps, and rotating equipment.
Advanced process‑industry focused APM that combines process modeling with predictive analytics for refineries and petrochemical plants.
Industrial cloud solution that leverages operational data to predict equipment degradation across aerospace, oil & gas, and manufacturing.
Integrated APM suite offering predictive analytics, reliability engineering, and digital twins for heavy‑industry assets.
IoT platform with real‑time condition monitoring and predictive maintenance dashboards for manufacturing and energy equipment.
Digital twin‑driven asset management that provides predictive maintenance insights for aerospace, automotive, and heavy machinery.
Add‑on to SAP EAM delivering AI‑based failure predictions, service ticket automation, and field‑service integration.
#20 IBM Maximo APM
Specialized predictive maintenance extension of Maximo, using Watson AI to anticipate failures in heavy equipment fleets.
Open IoT operating system that aggregates sensor data and runs predictive algorithms for industrial assets such as turbines and conveyors.
Cloud‑native APM platform built on Predix, offering prescriptive maintenance for oil & gas, power generation, and heavy manufacturing.
Asset management solution focused on automation hardware, providing predictive health analytics for PLCs, drives, and motion controllers.
Integrated solution that combines field instrumentation data with AI to predict maintenance needs for process plants.
Geospatial‑enabled asset tracking and predictive maintenance platform for construction, mining, and transportation fleets.
End‑to‑end asset lifecycle suite with predictive analytics for infrastructure, utilities, and heavy‑equipment management.
Enterprise AI platform delivering custom predictive maintenance models for large‑scale industrial assets.
IoT‑enabled condition monitoring system that aggregates data from Fluke sensors to predict equipment failures.
#29 Asset Panda
Flexible asset tracking platform with add‑on predictive maintenance modules, suitable for heavy‑equipment fleets and field service.
ERP‑integrated asset module offering predictive maintenance insights through Azure AI and IoT Hub.
Industry‑specific cloud EAM with built‑in predictive analytics for oil & gas, utilities, and heavy manufacturing.
Portfolio of SAP solutions (including Asset Intelligence Network) that leverages AI to predict failures across global asset bases.
IoT platform that combines sensor streams with Watson AI to deliver failure forecasts for heavy‑industry equipment.