Predictive maintenance in the U.S. leverages sensors, real-time monitoring, machine learning algorithms, and cloud/on-premise platforms to predict failures before they occur, minimizing unplanned downtime (which can reduce breakdowns by up to 70% and boost productivity by 25%). The market focuses on automotive applications (e.g., transmission check-ups, tire inspection, brake monitoring)...