Artificial intelligence is rapidly transforming how data centre operators manage and maintain critical infrastructure, as growing computing demands and increasingly complex systems push traditional maintenance methods to their limits. A new report by International Data Corporation (IDC), sponsored by Schneider Electric, reveals that conventional calendar-based maintenance schedules are no longer sufficient for modern data centres handling AI-driven workloads. Instead, operators are turning to AI-powered condition-based maintenance to improve reliability, efficiency, and system performance.
The IDC white paper, titled The Self-Aware Datacenter: How Condition-Based Maintenance Turns Fragmented, Multi-Vendor Datacenters into Predictable Infrastructure and System Intelligence, highlights the dramatic increase in power demands caused by artificial intelligence. According to the report, rack power densities have risen from roughly 15 kilowatts per rack in traditional facilities to between 300 and 600 kilowatts in AI-focused environments. This surge has intensified challenges related to cooling, energy consumption, equipment complexity, and the need for faster fault detection.
To address these pressures, data centre operators are increasingly embracing condition-based maintenance (CBM), which uses artificial intelligence, continuous monitoring, and advanced data analytics to assess equipment health and predict failures before they occur. IDC Senior Research Manager and report author Luis Fernandes said the approach allows maintenance decisions to be based on real-time equipment performance rather than fixed schedules. He noted that predictive analytics can help operators build machine-driven intelligence capable of identifying risks across multiple vendors, assets, and failure patterns.
The shift comes at a time when the global data centre industry is experiencing unprecedented growth, fuelled by artificial intelligence, cloud computing, and digital services. Many operators are expanding through acquisitions and upgrades to existing facilities, creating complex environments filled with equipment from different manufacturers and often lacking detailed operational histories. According to IDC, these fragmented infrastructures make AI-enabled monitoring and predictive maintenance increasingly valuable for ensuring smooth operations and minimising costly disruptions.
Schneider Electric believes AI-powered maintenance solutions will play a crucial role in the future of data centre management. The company says its EcoCare Service combines remote monitoring, artificial intelligence-driven insights, and expert oversight to detect abnormal equipment behaviour before failures occur. Early adopters have reportedly achieved significant reductions in unplanned downtime, lower operating costs, and longer asset lifecycles. As the industry continues to face shortages of skilled technical professionals alongside rising infrastructure demands, experts say intelligent, self-aware maintenance systems may become essential for keeping the next generation of AI-powered data centres efficient, resilient, and continuously available.
source: punch
