In terms of maintenance, the use of data in aviation from embedded systems is leading to a shift from a corrective approach to a predictive approach to carrier maintenance. Predictive analytics with big data in aviation make it possible to anticipate wear and tear on mechanical and - to a lesser extent - electronic parts. The processing of this data offers new perspectives in terms of optimizing maintenance costs. With the growth ans renewal of air fleets, the MRO (Maintenance, Repair and Overhaul) market can also rely on data to better manage its supply chain. In addition, aircraft maintenance centres will be able to offer better customer service by ensuring the availability of the necessary parts in real time.
As for the environmental footprint in aviation, flight paths can be optimized by using data to modify routes in real time to accommodate storms and other disruptions. In addition to substantial fuel savings, it is now possible, thanks to data, to reduce the environmental impact : civil aviation generates 2% of global CO² emissions, particularly because of the time spent over airports, while waiting for permission to land.