The technology essential for predictive maintenance in manufacturing is often referred to as internet of things (IoT) devices combined with data analytics. IoT sensors collect real-time data from machinery and equipment, monitoring various parameters such as temperature, vibration, and wear. This data is then analyzed using predictive analytics to identify potential failures before they occur, allowing for timely maintenance interventions. By adopting these technologies, manufacturers can minimize downtime, extend equipment lifespan, and optimize maintenance schedules, leading to increased productivity and cost savings.