A primary application of edge computing in IoT is enhancing data processing speed and reducing latency. In edge computing, data is processed closer to the source, rather than relying solely on centralized cloud servers. This is especially useful in environments where real-time data analysis is critical, such as in industrial automation, smart cities, or healthcare devices. By handling data at the edge, organizations can achieve faster response times, improve efficiency, and reduce bandwidth costs while still maintaining access to vast cloud resources for more extensive data analysis and storage.