Device Map provides detailed up-to-date device data for the Mobile Operator environment, indexed by TAC (Type Allocation Code). To get a full data sample, please complete the below form. Your request will be processed by our partners at the GSMA.

What's in the data sample?

Here are some examples of the categories and device properties available with Device Map.

Data Category Sample properties
Device information Manufacturer, model name, marketing name, brand
Hardware information Device type (Tablet, Phone, TV, etc), screen size, touch interface, camera
Operating System OS name and version (Android 4.3, iOS 7, Windows Mobile  etc)
Browser Name, version, rendering engine, markup, image types
Javascript Modify DOM, Support events, Local storage
HTML5 CSS, HTML5 properties
Multimedia Streaming, Audio, Video codecs
Network protocols GPRS, EDGE, UMTS, LTE

What is Device Map used for?

Device Map has many potential applications for Mobile Network Operators and Service Providers working in the GSM ecosystem.


Device-related insight for Sales and Marketing

Identify specific devices to target. For example, knowing which device types drive higher ARPU could be used to craft compelling offers, or identify older devices that could be offered an upgrade.


Troubleshooting and Customer Support

Detailed device information can help Customer Service Representatives or subscribers more effectively troubleshoot support issues according to their devices’ unique features. This can result in faster resolution times and improve customer support/self-service.

Network Optimization

Network Optimization and Planning

Make business decisions driven by mobile traffic analysis. For example, tracking device-based network usage patterns can inform decisions on network optimization or planning the roll out of network infrastructure such as LTE, or the retirement of obsolete capacity.

Enhanced Analytics

Enhanced Analytics

Add value to CDR or traffic data Analytics, with a deeper understanding of device traffic on the network. Real-time or offline Analytics can help you react quickly to specific events or traffic patterns.