Best Practices: Transitioning To Predictive Maintenance For Enhanced Asset Management
Access this research
Access all Industrial Transformation Leaders content with a strategic subscription or buy this single report
Need help or have a question about this report? Contact us for assistance
Executive Summary
This report provides industrial operations managers and executives across asset-intensive industries with an overview of best practices for implementing predictive maintenance (PdM) solutions. To capture best practice insights, Verdantix conducted in-depth interviews with 10 predictive maintenance experts at industrial, service providers and technology firms and surveyed 256 managers in operations, maintenance and engineering roles. Verdantix research finds that while predictive maintenance solutions have been around for some time, many firms have found it difficult to prove their benefits and successfully implement them. However, experience from industry frontrunners shows that success is possible, by prioritizing critical assets, laying strong data management foundations, getting buy-in as well as proving return on investment (ROI), and integrating predictive maintenance solutions into wider digital ecosystems.Predictive Maintenance Advances Asset Management Capabilities
‘If It Ain’t Broke, Don’t Fix It’ Is A Dated Method Of Asset Maintenance Management
Predictive Maintenance Strategies Deliver Significant Benefits
Digital Solutions Are Essential For Predictive Maintenance, But Barriers To Adoption Exist
The Recipe For Predictive Maintenance Success - Strategize, Digitize, Scale
Prioritize Predictive Maintenance For Critical Assets In Your Firm
Implement Digital Solutions To Achieve The Predictive Maintenance Gold Standard
Scale Up Returns By Expanding To Similar Assets And Demonstrating Added Sustainability Gains
Figure 2. Level Of Digital Maturity For Asset Management
Figure 3. Sophistication Of Predictive Maintenance Solutions
Figure 4. Industry Usage Of Predictive Maintenance Software
Figure 5. Step By Step Guide On Implementing A Predictive Maintenance Tool
Figure 6. Considerations When Selecting The Right Predictive Maintenance Vendor
Figure 7. Types Of Maintenance Strategies
About the Authors
Malavika Tohani
Research Director
Malavika is a Research Director at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more ef...
View Profile
Kiran Darmasseelane
Senior Manager
Kiran is a Senior Manager at Verdantix, delivering data-driven insights on emerging technologies and global market trends for asset-intensive sectors such as energy, manufactu...
Henry Kirkman
Senior Analyst
Henry is a Senior Analyst in the AI Applied research team at Verdantix, specializing in enterprise AI platforms, agentic systems, industrial AI, document AI and graph database...
View ProfileOther related content
Engineering, procurement and construction (EPC) firms and industrial asset owners are under growing pressure to deliver increasingly complex projects on time and on budget. Yet man...
Upcoming / 29 July, 2026
Uptime depends on having the right part available at the right time. But spare parts strategy hasn't kept pace with the pressure on maintenance and reliability teams to do more wi...
Upcoming / 05 August, 2026
At Realize LIVE Europe 2026, Siemens emphasized the need for AI systems to operate alongside employees and within existing business processes rather as a standalone technology laye...
22 July, 2026
Siemens’s 2026 Realize LIVE event in Europe focused on three key areas: the comprehensive digital twin, lifecycle intelligence and adaptiveness. These themes were framed against a ...
21 July, 2026
On August 2, 2026, the next phase of the EU AI Act comes into effect, bringing new obligations for organizations deploying high-risk AI systems. While much of the discussion around...
17 July, 2026
Uptime, throughput and quality have always been the measures of operational success. But achieving them is getting harder. Supply chain disruption, energy volatility and ageing as...
25 June, 2026