M2Catalyst Global Mobile Insights Report
COVERAGE-QoE / TRAFFIC ANALYSIS / DIGITAL DIVIDE
January - June 2023
This global study examines both the mobile quality of experience, as measured by M2Catalyst’s proprietary coverage accessibility algorithm, and the percentage of mobile traffic carried by each network technology on an MNO-by-MNO basis for 70+ countries Analysis of these metrics enables an enhanced understanding of the digital divide of the subject country.
The M2 Coverage-QoE algorithm was developed by M2Catalyst in conjunction with industry leading RF engineering consultants. It takes into consideration numerous elements including signal strength, signal quality, and throughput from the 4G/5G service footprint for each country’s top MNOs, the 2G/3G-only service footprint for each MNO, and the areas where mobile devices are used but have detected no service. Each 800 square meter bin with mobile activity is then classified as to the highest mobile use case (see below) it can support, leading to its further categorization as Connected, Under-Connected, or Unconnected.
“The M2 crowdsourced data is so robust that we’ve been able to create the M2 Coverage-QoE algorithm which simplifies the process of identifying and predicting network performance characteristics. This means all the heavy lifting is taken care of so that mobile operators, tower companies, government authorities and others can immediately gain insights and move faster into triage and prioritization.”
- Martin Donnelly
With 20+ years of experience, Martin has specialized in establishing and overseeing wireless networks in Europe and the USA. Rooted in data analysis and automation, he's been pivotal in launching one of the telecom industry's premier big data platforms.
“The M2 Coverage-QoE offers a straightforward gauge of wireless broadband quality, designed for clarity even to non-tech users. We have worked extensively with M2 to build this advanced algorithm using RF traits like signal strength, quality, and throughput. The result is an algorithm that predicts the true user experience, factoring in more than just speed.”
- Eric Law
Eric has specialized for 30 years in RF Engineering, Planning, Design, and Operations. His expertise includes big data and crowdsourced analysis, bolstered by spatial analysis skills.
The hundreds of billions of records that constitute the data for this study were collected from M2Catalyst mobile applications installed on millions of mobile devices during the period of January 1 through June 30, 2023. All such data collection was performed with the express permission of the mobile device owners.
Right to Republish M2 Reports
The M2 Crowdsourced Data, which has been developed, collected, aggregated, assembled, formatted, and supplied by M2 through the application of methods and standards of judgment developed and applied through the expenditure of substantial time, effort, and money, constitute confidential and valuable industrial property and trade secrets, and are protected by United States copyright laws and international treaty provisions as well as other intellectual property laws and treaties. All title and copyrights in and to the M2 Crowdsourced Data and any accompanying printed materials are owned by M2.
The M2 Crowdsourced Data may not be used as a component of or as a basis for any material offered for sale, license, subscription, or promotion of its business.
M2Catalyst, LLC also retains full ownership of this M2-QoE report, encompassing all intellectual property rights, data, content, graphs, and analysis. Unauthorized quoting, reproduction, distribution, or publication for commercial use is prohibited without M2Catalyst's prior written approval. Journalists wishing to cite information from our reports must provide clear source attribution and secure prior written consent from M2Catalyst. For further information or clarification, please contact us at firstname.lastname@example.org.
Coverage-QoE Data Layers Available for 200+ Countries
Our Coverage-QoE data layers provide detailed insights for all mobile network operators (MNOs) or specific MNOs across more than 200 countries. These layers are optimized for integration into network planning and GIS tools, including platforms like Esri ArcGIS.
Connected: Visualize areas where MNOs achieve an average throughput speed of 9Mbps or higher, suitable for high-resolution video streaming.
Under-Connected: Filter and pinpoint locations optimized for specific connectivity needs, such as low-resolution video, audio-only, or text-based communication.
Unconnected: Identify regions where specific MNOs register no signal, highlighting areas of connectivity gaps.
For a demo and a detailed discussion on your data configuration requirements, please contact us at:
Learn More About Our Solutions
M2Catalyst is the creator of Crowd SiteIntel (CSI), a leading data analytics platform trusted by MNO and tower companies worldwide. CSI enables the analysis of 1000 sites per hour, benchmarking mobile network performance of all MNOs.
No RF engineering experience required
Instantly available in over 200 Countries
Trillions of MNO performance measurements
Over 40 million cell IDs mapped globally
Benchmarking more than 800 MNOs
Map each Cell ID by RSRP, RSRQ, SINR, range, date first detected, frequency/band channel, eNodeB and PCI
Variety of configurations available to user
Diverse zoom levels
Various size categories
Raw data feeds are available and aggregated data layers are available for use in other platforms such as Esri ArcGIS (see the next 2 pages for more info).
Data Delivery Options:
Recurring updates: 3, 6, or 12 months
For a demo and a detailed discussion on your data configuration requirements, please contact us using the form below.
Our Data Is Also Available on the Esri ArcGIS Marketplace!
With a commitment to improve the mobile experience for all, M2Catalyst stands at the forefront of innovation for mobile network performance geospatial data, consistently providing advanced solutions and datasets tailored to the ever-evolving needs of the industry. M2Catalyst has also released 4 new data layers on the Esri ArcGIS Marketplace
Featured Data Layers include:
Discover intricate coverage footprints by Cell ID and eNodeB (cell sites) for each Mobile Network Operator across 200+ countries. Available in CSV format, these data layers offer seven bin sizes, ranging from 20 m x 20m to 11km x 11km, allowing you to examine coverage areas of Cell IDs by MNOs. Additionally, insights on band frequencies deployment are available.
Harness the power of our cutting-edge AI algorithms that predict the location of cell sites, from macro towers and rooftops to monopoles, small cells, and DAS sites, across 200+ countries.
Navigate the nuances of RF conditions, from RSRP and SINR to areas with no signal. These data layers are also available in CSV format for over 200 countries and offer a broad range of seven bin sizes from 4m x 4m to an expansive 11km x 11km.
Unearth the true state of mobile network coverage across the globe with this in-depth data layer that illuminates areas with either fringe network coverage or a complete lack of signal.