Product Benchmark: Predictive Maintenance Functionality Of APM Software

Published 7 November 2022 by Fouad Elias & Malavika Tohani &

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Executive Summary

This report provides operations and maintenance executives with an analysis of the predictive maintenance capabilities of 15 APM software providers. The report leverages the Verdantix Green Quadrant analysis on APM software published in September 2022 and deepens the analysis of predictive maintenance capabilities (see Verdantix Green Quadrant: Asset Performance Management Solutions 2022). AVEVA and GE Digital lead the market for predictive maintenance capabilities, followed by Baker Hughes, IBM and AspenTech. The majority of APM software providers offer solid capabilities for predictive maintenance, so buyers have ample choice. However, buyers should select predictive maintenance software providers based on their ability to go beyond predictive into prescriptive maintenance, and to robustly identify false positives in order to minimize unnecessary alarm events.

Table of contents

Spend On Predictive Maintenance Solutions Sees Strong Growth 
Cost Reduction Programmes Drive Demand For Predictive Maintenance Solutions 
Assessment Criteria For Predictive Maintenance Software 
Buyers Seeking Robust Functionality For Predictive Maintenance Have A Lot Of Choice 
Firms Must Evaluate Vendor Capability To Recommend Prescriptive Actions 

Table of figures

Figure 1. Five Key Assessment Criteria For Predictive Maintenance Functionality 
Figure 2. Capability Scores For Predictive Maintenance Functionality
Figure 3. Total Capability Scores For Predictive Maintenance Functionality
Figure 4. Predictive Maintenance Software Capabilities Of 15 APM Vendors

About the authors

Fouad Elias

Fouad is an Analyst in the Verdantix Operational Excellence practice. His current research agenda focusses on APM solutions and technologies for sustainable industrial operations. Prior to joining Verdantix, Fouad worked at Procter&Gamble in the Product Supply Division, where he gained experience in the technical specification creation process. Fouad holds an MSc in Biomedical Engineering from Imperial College London & a BEng in Mechanical Engineering from City University of London. 

Malavika Tohani

Research Director

Malavika leads the Verdantix Operational Excellence practice. Her current research agenda focuses on digital technologies for Operational Excellence including digital twins and software solutions for industrial risk and asset management. Malavika has over 15 years’ experience in research and strategy consulting. Malavika previously worked at Frost & Sullivan, managing and delivering advisory projects for clients involving expansion, acquisition, benchmarking and product development strategies. Malavika holds a MSc in Economics from Madras School of Economics.

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