The technology that underlies predictive maintenance in industrial IoT is based on machine learning and data analytics. By analyzing historical machinery performance data and real-time sensor information, predictive maintenance systems can foresee potential failures and schedule maintenance accordingly. This approach reduces downtime, saves costs, and enhances overall operational efficiency in industrial settings.