Top 10 Best Power Plant Maintenance Software of 2026

IBM Maximo is an enterprise asset management (EAM) platform tailored for optimizing maintenance in asset-intensive industries like power plants, offering end-to-end lifecycle management for critical equipment such as turbines, generators, and transformers. It excels in work order automation, preventive and predictive maintenance, inventory management, and real-time asset health monitoring through IoT and AI integrations. Designed for scalability, Maximo helps power utilities minimize unplanned downtime, comply with regulations, and maximize asset reliability and ROI.

SAP Asset Management is an enterprise-grade Intelligent Asset Management solution designed to optimize the lifecycle of physical assets in industries like power generation. It enables predictive maintenance through AI and machine learning, streamlines work orders, scheduling, and compliance reporting tailored for complex power plant environments such as turbines, boilers, and grids. The platform integrates IoT sensors for real-time monitoring and analytics to minimize downtime and extend asset life.

Infor EAM is a robust enterprise asset management (EAM) solution tailored for asset-intensive industries like power generation, offering comprehensive tools for maintenance planning, work order management, and asset lifecycle tracking. It supports preventive, predictive, and condition-based maintenance strategies essential for power plants, including features for inventory control, mobile workforce enablement, and regulatory compliance reporting. The software integrates with IoT sensors and ERP systems to minimize downtime and optimize asset performance in complex environments.

IFS Cloud EAM is a comprehensive enterprise asset management platform tailored for industries like power plants, enabling full lifecycle management of critical assets from acquisition to decommissioning. It supports predictive and preventive maintenance through AI-driven analytics, work order optimization, and integration with IoT sensors for real-time condition monitoring. The solution excels in handling complex asset hierarchies, regulatory compliance, and mobile workforce enablement, making it ideal for large-scale power generation operations.

Oracle Enterprise Asset Management (EAM) is a comprehensive cloud-based solution designed for managing the full lifecycle of physical assets in large enterprises, including preventive, predictive, and corrective maintenance strategies. It excels in handling complex asset hierarchies, work orders, inventory, and analytics, making it well-suited for power plant operations where downtime minimization and regulatory compliance are critical. Integrated with Oracle's broader suite like Fusion Cloud ERP and SCM, it leverages IoT, AI, and machine learning for condition-based maintenance on turbines, generators, and grid infrastructure.

AspenTech Asset Performance Management (APM) is an enterprise-grade software suite tailored for optimizing asset reliability and performance in heavy industries, including power plants. It integrates AI, machine learning, and advanced analytics to enable predictive maintenance, failure prediction, and risk-based inspections for critical equipment like turbines, boilers, and generators. The platform supports reliability-centered maintenance (RCM), asset integrity management, and operational optimization to minimize downtime and extend asset life.

GE Vernova APM is an enterprise-grade asset performance management platform tailored for power plants, leveraging AI, machine learning, and digital twins to monitor asset health and predict failures. It enables reliability-centered maintenance, optimizes work orders, and integrates seamlessly with GE's power generation equipment like gas and steam turbines. The solution provides comprehensive analytics for risk-based inspections and extends asset life while minimizing downtime.

ABB Ability Genix APM is an AI-driven asset performance management platform designed for industrial operations, including power plants, where it monitors critical assets like turbines, boilers, and generators using IoT data and advanced analytics. It employs machine learning for predictive maintenance, anomaly detection, failure mode analysis, and digital twins to simulate asset behavior and optimize reliability. By integrating with ABB's ecosystem, it enables proactive decision-making to reduce unplanned downtime and maintenance costs in large-scale power generation environments.

Siemens Xcelerator APM is a comprehensive asset performance management platform designed for industrial operations, including power plants, utilizing AI, IoT, machine learning, and digital twins to enable predictive maintenance and optimize asset reliability. It supports reliability-centered maintenance, failure mode analysis, and real-time performance monitoring to reduce unplanned downtime and extend equipment lifespan. Integrated within the Siemens Xcelerator portfolio, it seamlessly connects with Siemens hardware like turbines and generators for end-to-end lifecycle management.

Bentley AssetWise is a comprehensive enterprise asset management platform designed for managing physical assets in industrial facilities, including power plants. It supports the full asset lifecycle, from design and construction to operations and maintenance, with features like predictive analytics, digital twins, and reliability management. For power plant maintenance, it excels in inspection tracking, work order automation, regulatory compliance, and integrating engineering data with operational workflows.