IoT-enabled predictive maintenance is primarily at home in the fields of industry and Industry 4.0, the Internet of Things, and automation. This means that modern machines are networked with each other via the Internet of Things (IoT) and constantly send and receive data.

In predictive maintenance, also known as vorausschauende Wartung in German, machine data is monitored in real-time using sensors and clever software. This allows early identification of potential malfunctions. Instead of carrying out maintenance at regular intervals or only after a breakdown, targeted interventions can be made before actual damage occurs.

For example: In a car factory, all important production machines are equipped with sensors. One sensor detects unusual vibrations on a screwing machine. Before it completely fails and production stops, maintenance is automatically initiated. This way, companies save time and money and avoid unexpected production stoppages.

Through IoT-enabled predictive maintenance, businesses can therefore reduce maintenance costs, increase safety, and keep operations running smoothly. This is an important step towards a modern, efficient, and digitised industry.

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