Recent research from MaintainX, based on responses from 2,234 maintenance and operations leaders, highlights the growing challenges facing industrial maintenance teams in 2026:
79% of teams reported that unplanned downtime either remained unchanged or increased.
Downtime costs continue to rise, making every equipment failure more impactful.
Labor shortages and skills gaps rank among the top challenges for maintenance leaders.
Despite increased adoption of preventive maintenance strategies, half of maintenance teams still spend less than 40% of their time on planned maintenance activities.
While these challenges are not new, the urgency to address them has never been greater. To improve reliability and operational performance, maintenance leaders should rethink several traditional approaches and focus on three critical priorities.
Prioritize Knowledge Capture Before Expertise Disappears
Many maintenance organizations rely heavily on veteran technicians whose expertise exists largely in their own experience. When critical knowledge is stored in people’s heads, paper records, spreadsheets, or disconnected systems, it becomes vulnerable to loss through retirement, turnover, or extended absences.
The result is often repeated equipment failures, longer troubleshooting times, and a steep learning curve for newer technicians.
To avoid this “knowledge capture debt,” organizations should:
Standardize work orders, failure codes, asset histories, and maintenance records within a single system accessible in the field.
Make documentation a standard part of every repair and inspection process.
Create structured, searchable records that support training, planning, and continuous improvement.
Artificial intelligence can further accelerate knowledge transfer by converting repair notes, work orders, and equipment manuals into documented procedures linked directly to specific assets. This enables organizations to preserve valuable expertise and help newer technicians become productive more quickly.
Position Maintenance As A Driver Of Business Performance
Many organizations continue to view maintenance primarily as a cost center rather than a strategic contributor to business success. As a result, maintenance teams often struggle to secure the time, budget, and resources needed to execute proactive maintenance strategies effectively.
A more effective approach is to position maintenance as a key driver of profitability, productivity, and product quality.
Maintenance leaders can strengthen their influence by:
Aligning reliability objectives with broader business goals.
Regularly communicating maintenance performance metrics to leadership.
Demonstrating how improved asset reliability supports throughput, quality, and operational efficiency.
When maintenance performance is measured in business terms, it becomes easier to gain executive support, protect preventive maintenance schedules, and shift from reactive firefighting to long-term reliability improvement.
Turn Asset Data Into Actionable Insights
Many organizations have invested in advanced maintenance technologies such as condition-based monitoring, usage-based maintenance, and real-time asset monitoring. However, many teams still spend the majority of their time responding to unplanned work.
A common reason is that valuable equipment data remains isolated within operational technology systems such as programmable logic controllers (PLCs) and supervisory control and data acquisition (SCADA) platforms. When this information is disconnected from maintenance planning systems, potential issues often go unnoticed or unresolved until failures occur.
To close this gap, organizations should connect asset monitoring systems directly to their computerized maintenance management system (CMMS). This integration enables maintenance teams to identify problems earlier, prioritize work more effectively, and schedule preventive actions before failures occur.
A connected maintenance ecosystem also benefits operations and engineering teams by providing visibility into equipment performance, maintenance activities, and recurring failure trends. This shared access to information creates a continuous feedback loop that supports better planning, improved reliability, and smarter decision-making.
Looking Ahead
The most successful maintenance organizations in 2026 will focus less on acquiring additional tools and more on improving how knowledge, data, and maintenance activities are connected. By preserving institutional knowledge, demonstrating maintenance’s business value, and transforming asset data into actionable work, maintenance leaders can reduce downtime, eliminate recurring failures, and dedicate more time to preventive activities that drive long-term operational success.