CUJO AI Device Statistics Portal

CUJO AI Explorer uses machine learning algorithms to precisely identify devices connected to a network. It distinguishes over 50 distinct device types or categories, such as smartphones, IP cameras, or game consoles, as well as tens of thousands of device models. This allows end-users to easily manage and monitor their home network through the ISP’s app. As of 2024, Explorer monitors over 50 million networks and gives network service providers (NSPs) a reliable way to identify devices and their capabilities, such as 4K streaming ability. Aggregated device popularity statistics allow NSPs to closely monitor and react to trends in device adoption and emerging use cases.

In recent years, the overall distribution of the top 10 most popular connected devices has not changed significantly. Nevertheless, some niche IoT devices, such as connected kitchen appliances, have doubled in relative popularity in recent years, and are likely to disrupt the status quo, especially when Matter and Thread protocols become more widespread. Smartphones are by-far the most popular connected devices, with a relatively short upgrade cycle, which results in a significant number of new models joining end-user networks every year.