Grid operators are increasingly pivoting toward condition-based maintenance to manage aging infrastructure and rising electricity demand. This transition relies on the deployment of intelligent electronic devices, vibration sensors, and automated diagnostic tools that allow for continuous asset monitoring. By moving away from manual inspections, utilities aim to improve operational reliability through real-time data and predictive analytics.
Software platforms for decision support are expected to see the fastest adoption, with a projected compound annual growth rate of 11.2%. Meanwhile, partial discharge monitoring devices remain a cornerstone of this technological upgrade, essential for detecting insulation defects in high-voltage equipment like transformers and gas-insulated switchgear. North America is set to lead this expansion, holding an estimated 44.8% share of the global market value by 2036. Industry leaders such as Siemens Energy, Hitachi Energy, and GE Vernova are currently scaling their offerings to meet the demand for AI-enabled analytics and digital twins, which are becoming standard tools in modern utility asset management.




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