The State of Industrial Asset Maintenance: Market Outlook, Trends & Challenges
Keeping industrial assets reliable is becoming increasingly challenging. Industrial organisations face tighter capital budgets, a growing loss of experienced maintenance expertise and increasing pressure to limit the operational and financial impact of unplanned downtime.
At the same time, production environments are becoming more automated and interconnected. As a result, the failure of a single asset can affect processes well beyond the equipment itself, making downtime an increasingly important business risk.
Moving towards smarter maintenance strategies can help you address these challenges, but the transition is not always straightforward. Maintenance data may be fragmented or of insufficient quality, legacy systems can be difficult to integrate, and established time-based preventive maintenance practices are often deeply embedded in the organisation. Meanwhile, technologies for condition monitoring, artificial intelligence and asset performance management continue to develop rapidly, making it difficult to determine which approaches provide practical value.
During this webinar, you gain a data-backed overview of the current smart maintenance market and its expected development towards 2032. You explore how maintenance strategies are evolving from reactive and preventive approaches towards condition-based, predictive and increasingly prescriptive maintenance. You also see how sensing technologies, AI-driven analytics and APM/CMMS platforms can be combined to translate asset-health information into concrete maintenance actions. This broader market perspective helps you assess emerging technologies and trends, understand common adoption barriers and identify relevant next steps for your own maintenance strategy.
Content of the webinar
Introduction
- Introduction to IoT Analytics
- Key insights from nine years of dedicated research into industrial asset maintenance
Market outlook
- Why unplanned downtime is becoming a more significant business risk
- How IoT Analytics defines the smart maintenance ecosystem
- Size and development of the global smart maintenance market
- Distribution of the market across the technology stack and competitive landscape
Trends reshaping industrial maintenance
- The shift towards prescriptive and action-oriented maintenance
- The emergence of maintenance agents and AI assistants
- OEMs increasingly integrating monitoring capabilities into service contracts
Challenges for asset owners
- Practical barriers to scaling smart maintenance programmes
- Data quality and fragmentation
- Integration with legacy systems
- Organisational barriers to changing established maintenance practices
Closing arguments
- Key observations on the future development of smart maintenance
- Considerations for organisations evaluating their next steps
Q&A session
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You learn where the smart maintenance market stands today, how it is expected to develop towards 2032 and which technological and organisational trends are shaping its evolution. You also gain insight into the practical barriers to adoption and possible next steps for maintenance strategy, plant operations and technology selection. Join the webinar to gain a broader perspective on how industrial maintenance is evolving and what these developments could mean for your organisation.
About the speakers
Knud Lasse Lueth – CEO & Founder, IoT Analytics
Knud Lasse Lueth founded IoT Analytics in 2014 and has led the company’s research activities since its creation. His work focuses on providing global market insights and data on areas including the Internet of Things, artificial intelligence, cloud and edge computing, and Industry 4.0.
Zeynep Kaman – Analyst, IoT Analytics
Zeynep Kaman has been researching industrial technologies at IoT Analytics since 2023. Her research focuses in particular on industrial automation, predictive maintenance and machine vision.
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