APM (Asset Performance Management)
Asset Performance Management (APM) software applies AI, machine learning, and physics-based models to asset condition data to predict failures, estimate remaining useful life, recommend maintenance strategies, and — in advanced implementations — close the loop autonomously back into operational control. APM sits in the Intelligence (I) and Live Data (L) layers of the FIELD framework. It is distinct from EAM: EAM manages asset data and work execution; APM manages asset intelligence and predictive capability.
Why it matters
APM is where the ROI of IIoT and sensor investments materializes. Condition monitoring data becomes valuable when it predicts failures before they become unplanned downtime events. The investment case for APM is typically framed around avoided downtime, reduced unplanned maintenance labor, extended equipment life, and reduced energy consumption from optimized operating conditions.
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Cite this definition
Finocchiaro, Michael. “APM (Asset Performance Management).” DemystifyingPLM PLM Glossary, 2026, https://www.demystifyingplm.com/glossary/apm-asset-performance-management