The aviation sector has always relied on precise coordination, safety discipline, and operational efficiency. In recent years, Internet of Things (IoT) technologies have quietly become part of this ecosystem, supporting airlines in managing aircraft, ground operations, and passenger services more effectively. Rather than representing a single system, airline IoT refers to a network of connected sensors, devices, and software platforms that collect and share data across various stages of flight operations.

At its core, IoT in aviation focuses on visibility. Aircraft are complex machines with thousands of components that experience constant mechanical stress. Sensors installed in engines, landing gear, avionics, and cabin systems continuously track parameters such as temperature, vibration, pressure, and fuel usage. This data is transmitted in real time or after landing, allowing engineers to assess aircraft condition without relying solely on scheduled inspections. As a result, maintenance decisions can be based on actual equipment performance rather than fixed intervals.

One of the most significant applications of IoT is predictive maintenance. Traditionally, maintenance teams followed predefined schedules, sometimes replacing parts that still had usable life or missing early signs of failure. With sensor-based monitoring, potential issues can be identified earlier, helping reduce unexpected technical delays and improving aircraft availability. This approach also supports better planning for spare parts, tools, and manpower, minimizing disruptions across flight schedules.