Predictive maintenance, involving IoT, big data and algorithms, uses process data and connected sensors to predict malfunctions.

It models failure patterns and optimises predictive algorithms.

According to the McKinsey management consulting firm, predictive maintenance can generate substantial savings by increasing production line availability by 5 to 15% and reducing maintenance costs by 18 to 25%.