Skip navigation

Device Analytics


Wireless connectivity gaps (like a lack of coverage, interference, congestion, and so on) can severely impair the functionalities of IoT devices.

In the case of roaming devices, such as connected vehicles, it is often the case that no single service provider can provide a sufficiently robust solution to effectively cover the device, meaning multiple service providers are needed to achieve proper connectivity. To address this pain point, the Ericsson Device Analytics solution measures wireless connectivity performance from mobile devices of all kinds, sending performance measurements to a central database to which an analysis tool, the Ericsson Device Analytics Visualizer, is connected.




Real-time monitoring

Ericsson Device Analytics is based on the measurement of user connectivity in real devices in real time (as opposed to crowd-sourced measurements, which only give a snapshot of the quality in a given area). This delivers unique insights into how devices and networks are performing at any moment in time, which can be harnessed to perform root cause analysis in case of malfunctions as well as for real time decision-making on how devices should connect to a network.

Predictive mobility

By tracking the movement of devices and the quality of networks as they move, it is possible to predict where a given device will be located next as well as what connectivity will be like in that location. Ericsson Device Analytics bases these predictions on advanced machine learning algorithms. For vehicle manufacturers, this is of special value, enabling them to understand how (or if) a vehicle is connected in order to buffer infotainment data at the appropriate time (for example, when a vehicle moves into an area with poor coverage) as well as schedule software upgrades and the monitoring of vehicles when most suitable.


Ericsson Device Analytics makes it possible to analyze how different devices behave and work in networks — a valuable feature for service providers seeking to optimize their networks across a variety of devices. It also delivers, for example, insights for vehicle manufacturers into which networks are the best to be connected to in a given location.

3D map of UAV network performance

Ericsson, GSMA, T-Mobile and Verizon are exploring the digital airspace and the establishment of cellular networks that can support UAV (Unmanned Aerial Vehicle) operations. The results are intended to demonstrate the scalability and applicability of networks  for common commercial scenarios, and a key focus of the project was on how this data can best be visualized. Ericsson Device Analytics was a key component in the project, as it is a multifaceted solution comprising a front-end client on the drone, and a sophisticated back-end visualization tool.

A 3D map of UAV network performance will prepare the industry for take-off
Downloads Using Ericsson Device Analytics

Promotional material

Ericsson Device Analytics

With usage of Ericsson’s Device Analytics solution, service providers can monitor IoT devices, such as vehicles, drones, and more, and analyze how they perform in different wireless environments (for example, providing insights for  vehicle manufacturers into how drivers use their vehicles as well as how the vehicles themselves are functioning). The data collected can then be used for optimizing the networks as well as for such functionalities as predictive mobility, where devices can connect to the best networks at any given time when roaming in order to secure service quality.