Telecom Data: Best Telecom Datasets & Databases

What is Telecom Data?

Telecom data relates to information about users collected by their mobile operators. It's mostly used by insurance companies and marketers e.g. in fraud detection and consumer behavioral analysis. Datarade helps you find the right telecom data providers and datasets.Learn more

Recommended Telecom Data Products

14 Results

Telecom data - Carrier & ISP (Global)

by Redmob
leveraging our extensive telecom dataset. ... diverse user segments for telecom advertising campaigns.
Available for 85 countries
1.5B Unique users
Available Pricing:
Yearly License
Free sample available
Start icon5.0(7)

IPinfo.io Mobile IP Database | Global Coverage | IP to Mobile Carrier Linkage

by IPinfo
Furthermore, we can combine data from multiple sources (IP location, Anonymous IPs, and other data types ... traffic and requests ● Robust customer profiling and targeted marketing and advertisement efforts ● Data
Available for 249 countries
70K Entries
3 years of historical data
Starts at
$750 / month
Free sample preview
Free sample available

ThinkCX | Carrier and ISPs Telecom Market Share Data TeleBreakdown for North American

by ThinkCX
as the leader in telecom market share analysis and insights. ... With an independent bird’s-eye view of both carrier and ISP marketplaces, ThinkCX produces real time telecom
Available for 2 countries
4 years of historical data
98% Accuracy
Pricing available upon request
Free sample available

Mobile Cell Tower Coverage Footprint Europe, Egypt & UAE - Telecom Data by Teragence

Note that the data does not describe the locations of the actual towers themselves. ... The data can be used for location based services (to asses a location based on a cell-ID), network planning
Available for 26 countries
250K polygons per large country
6 months of historical data
Starts at
£60,000 / year
Free sample available

Speech recognition data: telecom customer service intent scenarios in 31 languages

Datasets containing 20 common telecom customer service scenarios (intents) available in 31 languages. ... Datasets containing 20 common telecom customer service scenarios (intents) available in 31 languages.
Available for 26 countries
Pricing available upon request

ThinkCX | Digital Advertising Audiences for North American Telecoms (200M Devices)

by ThinkCX
Improve your ROAS with our custom user segments for your programmatic telecom ad campaigns. ... You can have your custom ThinkCX telecom segments sent to you directly for manual upload into your programmatic
Available for 2 countries
180 million US devices
5 years of historical data
90% Match rate to GOOG & FB
Starts at
$1.50 / CPM
Free sample available

Mobile Signal Strength Map Europe - Mobile Network Coverage Data by Teragence

Understand signal strength in any 50x50m hexagon. 3G, 4G, 5G. Signal strength (RSRP) represented in Dbm. Additional information on spectrum and signal quality (RSRQ) also available
Available for 59 countries
10M hexagons per country
12 months of historical data
100% values populated
Starts at
£0.20 / API call
Free sample available

Mobile Technology Coverage Mix Map Europe - Mobile Network Coverage Data by Teragence

Map data providing a view of the mobile technology coverage (2G,3G,4G) for every mobile operator in every ... location (50 x 50 metre hexbins) Map data providing a view of the mobile technology coverage (2G,3G,
Available for 60 countries
Pricing available upon request

Research & Markets: Custom Research

Custom Research is customer driven, which allows you to determine the exact data you want, in the time
Available for 249 countries
Pricing available upon request

RootMetrics Connected Insights: Mobile Network Data for USA, UK, Switzerland, South Korea

The result is reliable crowd data rooted in good science and a ready-to-use data solution you can depend ... Conventional crowd data can be unreliable, but our science + crowd approach is different.
Available for 4 countries
1M Different Devices
100% Coverage
Available Pricing:
One-off purchase
Monthly License
Yearly License

More Telecom Data Products

Discover related telecom data products.
1.5B Unique users
85 countries covered
Improve your targeting capabilities by utilizing our telecom datasets, which enable you to connect with diverse user segments for telecom advertising campaigns.
1M Different Devices
100% Coverage
4 countries covered
Conventional crowd data can be unreliable, but our science + crowd approach is different. Introducing Connected Insights, a ready-to-use solution for data co...
250K polygons per large country
26 countries covered
6 months of historical data
Description of the coverage area of every individual cell tower of every mobile operator in a given country, covering 2G, 3G and 4G.
70K Entries
249 countries covered
3 years of historical data
Downloadable IP to Mobile Carrier Database from IPinfo.io. Links IP addresses with their mobile carriers.
Singapore covered
10 months of historical data
Market Vectors actual app and web usage data provides the trend of app performance of global companies across industries in Singapore.
Singapore covered
10 months of historical data
Market Vectors actual monthly app and web usage data provides the trend of app performance of global companies across industries in Singapore.
1.5B Unique users
85 countries covered
Improve your targeting capabilities by utilizing our telecom datasets, which enable you to connect with diverse user segments for telecom advertising campaigns.
26 countries covered
Datasets containing 20 common telecom customer service scenarios (intents) available in 31 languages.
249 countries covered
Custom Research is an exclusive analysis which is optimised and tailored to your particular requirements. Syndicated reports do not always provide the ins...
98% Accuracy
2 countries covered
4 years of historical data
With an independent bird's-eye view of both carrier and ISP marketplaces, ThinkCX produces real time telecom market share data in North America, broken out b...
180 million US devices
90% Match rate to GOOG & FB
2 countries covered
Improve your ROAS with our custom user segments for your programmatic telecom ad campaigns. Target specific user groups by geo, carrier, ISP, device attribut...
1M Different Devices
100% Coverage
4 countries covered
Conventional crowd data can be unreliable, but our science + crowd approach is different. Introducing Connected Insights, a ready-to-use solution for data co...
datarade.ai - Redmob profile banner
Redmob
Based in Lithuania
Redmob
We possess a profound understanding of the impact of big data and research in crafting robust, unique data segments tailored specifically for mobility analyt...
GDPR
Compliant
1.3Billion
Users with Location Data
2 Billion
Device IDs
datarade.ai - Teragence profile banner
Teragence
Based in United Kingdom
Teragence
Location and time-specific mobile network performance data (signal strength, throughput, quality) across all mobile operators in Europe and North America
datarade.ai - ThinkCX profile banner
ThinkCX
Based in USA
ThinkCX
ThinkCX is a data provider offering Telecom Data, Audience Data, Digital Audience Data, and Mobile Network Coverage. They are headquartered in United States ...
datarade.ai - IPinfo profile banner
IPinfo
Based in USA
IPinfo
IPinfo is an IP data provider specializing in IP geolocation, ASN, IP to company, IP to carrier, IP ranges, hosted domains, and other data types. IPinfo A...
46 billion
API requests per month
Great team
doing big things.
100K+
businesses use IPinfo services
datarade.ai - RootMetrics profile banner
RootMetrics
Based in USA
RootMetrics
The standard for mobile performance measurement, RootMetrics by IHS Markit is an independent mobile analytics firm offering scientific insights into how user...
P3 insight
Based in Germany
P3 insight
P3 insight is a data provider offering Telecom Data and Mobile Network Coverage. They are headquartered in Germany.

The Ultimate Guide to Telecom Data 2023

Learn about telecom data analytics, sources, and collection.

What is Telecom Data?

Telecom data is growing at a rapid rate, all because of the deep penetration of mobile phones in our life.

Needless to say, each of these devices generate a large amount of data. Nevertheless, data has always been an integral part of the telecom industry. It is ingrained into its DNA – from the time you get a new connection to the time you put your phone down – telecom companies collect your data and derive crucial insights in a range of ways – mobile phone usage, mobile location, server logs, call detail records, network equipment, social networks, and various others.

Who uses Telecom Data and for what use cases?

Telecom data is reliably used both by telecommunication companies and other businesses to improve the quality of their services. The data thus obtained can be further enhanced and fed to machine learning algorithms and artificial intelligence technologies to derive critical insights.

Even traditionally, telecom data has always played a greater role in marketing and sales departments. Let’s not forget the CRM systems which make use of telecom data to help you nurture your leads.
Let’s have a look at a few use cases of telecom data:

Threat detection
A subsidiary of NTT Group, Solutionary, is using telecom data to offer managed security services consisting of Vulnerability Management, Threat Intelligence and the like. The company extracts the key hidden details by analyzing and correlating vast amounts of data from network devices, endpoints, firewalls, logs, and the like.

Improved services
Telecom companies use telecom data to better their services and to outperform their competitors. They gather the data related to dropped calls, bandwidth issues, poor download times, and the like to optimize their services with proper capacity planning, equipment monitoring, and preventive maintenance.

Customer 360
Telecom data can also be used to discover hidden details about the customers – their demographic data, sentiment analysis of social media, calling circle data, browsing behavior data, historical data and more.
Demographic data can be used to target region-specific users while browsing behavior data can be used to target ads on social media platforms. Not only this, but telecom data can also help companies in predicting the user behaviors and preferences, thus helping businesses align their business strategy accordingly.

What are typical Telecom Data attributes?

Telecom data could have a range of attributes like:

  • Roaming
  • User demographic data
  • Customer call logs
  • Internet browsing history
  • Sentiment analysis of social media
  • Call history
  • Texting pattern

…essentially almost anything that can be traced back to the devices using a connection provided by a network operator.

How is Telecom Data collected?

Depending on the kind of data collected, telecom data is extracted from different sources. Call records, for instance, are collected each time a call is made. Similarly, carrier data, network data, and routing information are collected through databases. LERG database, for instance, can be purchased from Telcordia and contains information on all telephone switches in North America and the phone numbers that they cover.

How to assess the quality of Telecom Data?

As with any data type, care should be taken that the telecom data that you are buying is accurate and reliable. It must come from a reputable source and should be fresh. Essentially, it must be in line with the recent GDPR requirements and should be available in a format that could be used by you and your tools.

To be on the safer side, we will highly recommend you have a deeper insight at the raw data collection methods used by your data vendor. You might also like to use sample sets provided by your data provider to check the data in its intended environment.

How Telecom Data is typically priced?

The pricing of telecom data depends on the quality of telecom data, and it also varied from telecom data provider to provider. Common pricing models we see are:

  • Monthly subscriptions - give you access to freshly updated API’s
  • One time payments for large batches that enable you to access historical data for making future predictions.
  • Many providers are willing to also create custom quotes for more challenging use cases.

The number #1 challenge with Telecom Data?

GDPR concerns
Since telecom data majorly revolves around user data, the recent introduction of GDPR in Europe has made the accumulation of telecom data more difficult.. According to the law, you cannot collect the data pertaining to a user without their consent.

What to ask Telecom Data providers?

Here are a few questions that you may want to ask telecom data providers before finalizing the deal:

  • How do you extract the telecom data?
  • Is your data in line with the recent data laws?
  • How do you ensure data freshness?

Where do Telecom companies get data from?

There are a range of primary telecom data base fields that providers can reach instantly: network data including user information such as Call Detail Records (CDRs), Performance Tracking Data, Failure Monitoring Data, Call Management Data, Customer Data, Service Support Systems and Business Support Systems. These types of data are usually standardized, and it is relatively straightforward to obtain information from sources in the data marketplace for data telecom analysis. Real-time telecom data retrieval and interpretation become more complex as new data sources are used, such as: device data which includes traffic analysis, such as deep packet inspection and SMS, site, search, and email. Social networking, smartphone apps and data devices customer profile data, demographics and segmentation data.

How does Big Data affect the Telecom industry?

Operators need to collect, archive and derive insights from their available data for real-time telecom data analysis. Big Data Analytics will help them maximize revenue through helping to manage network use and resources, enhance consumer engagement and boost security. Big Data addresses concerns about how data is used by a telecom company to maximize profitability and income across the supply chain, across network activity, product growth, promotions and distribution. Big Data Analytics allows businesses to forecast peak network demand so that they can take steps to minimize congestion. It will also help classify consumers who are more likely to pay for certain telecom services. You can purchase telecom data online from a variety of telecom data vendors or make a telecom data subscription in order to get telecom data at a fair price.

Do telecom companies provide CDR data?

Call Detail Record (CDR) is a comprehensive log of any telephone calls that pass into a telephone exchange or some other telecommunications facilities. The record is kept by the telecom companies which involve and includes call information such as call time, call length, source and destination number, call completion status, consumer billing, service capacity preparation - all of which can be accessed from some commercial telecom datasets. CDRs are commonly used for network tracking, traffic analysis, CABS reconciliation, fraud prevention, customer service, and facility capacity preparation.
(103 Words)
• How is data structured in a typical telecom company?
The Telecom Data Structure consists of a group of nodes interconnected by connections used to maintain contact between nodes. Links can use a range of technologies based on circuit switching, message switching, or packet switching methods to relay messages and signals to commercial telecom datasets. For each message, multiple nodes can co-operate to transfer the message from the originating node to the destination node through multiple network hops. These organizations have developed an infrastructure that enables real-time telecom data in phrases, voice, audio or video to be delivered anywhere around the world. Telephone (wired and wireless) networks, satellite companies, cable providers and internet service providers are the biggest corporations in the telecommunications field.

What are tools for Telecom Data analytics?

The first data telecom analysis tool is Excel with a number of powerful features, such as form formation, PivotTable, and VBA. Excel is a versatile player. It fits well with tiny files, and it can accommodate millions of data with extensions. Second, BI methods such as Power BI, FineReport, and Tableau are developed according to the data analysis process, as well as data visualization that uses map presentation to define concerns and affect decision-making. Finally, the programming language of R and Python is very strong and scalable. R and Python are invaluable methods for the study of telecommunications data. They are undoubtedly powerful from a technical point of view than the Excel and BI tools. Telecom data providers use these methods for data business research.

How is Telecom Data used for machine learning?

Machine learning is about developing algorithms to derive useful information from commercial telecom datasets, focuses extensively on continuous use of rapidly evolving contexts, and stresses the adaptation, retraining and modification of algorithms based on prior practice in certain data marketplaces. The goal of machine learning in telecommunications is to continuously adapt to new telecommunications data and to discover new trends or rules therein. It may often be realized without human guidance and explicit reprogramming. Real-time telecommunications datasets include:

  • Customer data containing all data relating to Customer Care and Contact Information
  • Towers and Grievances Log
  • Call Detail Records “CDRs”
  • Mobile IMEI information containing a brand, model, type of mobile phone, and whether it is a dual or single SIM unit.

What does a Telecom Data model look like?

Telecom data model is a common industry data model applicable for fixed and mobile telecommunications providers, addressing both conventional Business Intelligence standards and Big Data Analytics. It is based on industry best practices, developed and applied during telecom data analysis in major telecoms companies. It is also open to appropriate changes and modifications needed by each customer. The first process model involves both fiber and copper networks, which describes relationships between the most dominant network telecom data. The telecom data model is expanded to depict point-to-multipoint networks as well as continuous wireless networks using Code-Division Multiple Access (CDMA), Global System for Mobile communications (GSM), and Time Division Multiple Access (TDMA) technologies.

Where can I buy Telecom Data?

Data providers and vendors listed on Datarade sell Telecom Data products and samples. Popular Telecom Data products and datasets available on our platform are Telecom data - Carrier & ISP (Global) by Redmob, IPinfo.io Mobile IP Database | Global Coverage | IP to Mobile Carrier Linkage by IPinfo, and ThinkCX | Carrier and ISPs Telecom Market Share Data TeleBreakdown for North American by ThinkCX.

How can I get Telecom Data?

You can get Telecom Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Telecom Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Telecom Data APIs, feeds and streams to download the most up-to-date intelligence.

Translations for this page

Datos de telecomunicaciones (ES)