The OECD broadband database provides access to a range of broadband-related statistics gathered by the OECD. Policy makers must examine a range of indicators which reflect the status of individual broadband markets in the OECD.

For further details, please refer to https://www.oecd.org/digital/broadband/broadband-statistics/

The Big Data in Telecom market is experiencing robust growth, driven by the exponential increase in mobile data traffic, the rise of 5G networks, and the increasing need for personalized customer experiences. The market is segmented by application (IoT, Retail, Media, Financial Services, Pharmaceuticals, and Others) and by type of database (Hadoop, NoSQL, MPP Databases, and Others). Key players like Accenture, Amazon, Cisco, IBM, Microsoft, and Oracle are heavily invested in this space, offering a range of solutions from data analytics platforms to cloud-based services. The North American market currently holds a significant share, followed by Europe and Asia Pacific. However, developing regions in Asia Pacific and the Middle East & Africa are exhibiting high growth potential, driven by increasing digital adoption and infrastructure investments. The market's Compound Annual Growth Rate (CAGR) is estimated to be around 15% during the forecast period (2025-2033), indicating substantial future expansion. This growth is fueled by the continuous demand for advanced analytics to optimize network performance, improve customer retention, and develop innovative services such as personalized offers and predictive maintenance. The market faces some restraints, including concerns regarding data security and privacy, as well as the complexities associated with integrating big data solutions into existing telecom infrastructure. Nevertheless, the overall outlook remains optimistic, with the market poised for significant expansion over the next decade. The adoption of advanced technologies such as AI and machine learning further fuels market growth by enabling more sophisticated data analysis and insightful business decisions. The forecast period (2025-2033) suggests a consistent upward trajectory. Several factors contribute to this projection: the continued expansion of 5G coverage globally will generate vast amounts of data requiring sophisticated analytics solutions. Furthermore, the increasing adoption of IoT devices in the telecom sector, coupled with the rise of cloud-based data storage and processing solutions, creates a fertile ground for further market growth. Competition among major players will likely intensify, leading to innovations in pricing models, service offerings, and technological advancements. The integration of big data analytics with other emerging technologies such as blockchain and edge computing will likely shape the future landscape of the market, providing opportunities for both established players and new entrants to contribute to this dynamic space.

The World Telecommunication/ICT Indicators Database contains time series data for the years 1960, 1965, 1970 and annually from 1975 to 2020 for more than 180 telecommunication/ICT statistics covering fixed-telephone networks, mobile-cellular telephone subscriptions, quality of service, Internet (including fixed- and mobile-broadband subscription data), traffic, staff, prices, revenue, investment and statistics on ICT access and use by households and individuals. Selected demographic, macroeconomic and broadcasting statistics are also included. Data are available for over 200 economies. However, it should be noted that since ITU relies primarily on official economy data, availability of data for the different indicators and years varies. Notes explaining data exceptions are also included. The data are collected from an annual questionnaire sent to official economy contacts, usually the regulatory authority or the ministry in charge of telecommunication and ICT. Additional data are obtained from reports provided by telecommunication ministries, regulators and operators and from ITU staff reports. In some cases, estimates are made by ITU staff; these are noted in the database.

Comprehensive dataset of 4,602 Telecommunications in India as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The World Telecommunication/ICT Indicators database contains time series data for more than 180 telecommunication/ICT (Information and Communication Technologies) statistics. It covers fixed-telephone networks, mobile-cellular telephone subscriptions, quality of service, Internet (including fixed- and mobile-broadband subscription data), traffic, staff, prices, revenue, investment and statistics on ICT access and use by households and individuals. Selected demographic, macroeconomic and broadcasting statistics are also included. The data is for the years 1960, 1965, 1970 and annually from 1975 to 2017. The WTI Database also includes: Economy yearbook pages featuring in the Yearbook of Statistics. These pages show data in economy tables allowing readers to view the evolution of telecommunication services by economy. Statistics are provided for the ten-year period 2007-2017. The latest (2017) data on ICT access and use by households and individuals. Data are presented in tables and broken down by socio-demographic variables, such as age, sex, income and education level etc. Please note: The World Telecommunication/ICT Indicators database is a relational database which must be used with the associated Software Application. In order to search and extract data from the Data file, users will need to download and install the Application and the Data file to the same folder on their personal computers. The database must be installed by first launching the executable (ending in “.exe”) file.

This dictionary gathers different disciplines and topics such as: PABX (Private Automatic Branch eXchange), public telephone exchange, switch, microwave radio system, satellites, multiplexer, signalling, printed circuit, telephony, etc.It also contains many synonyms and abbreviations in both languages, as well as meaning, case or applications for polysemic terms.Languages : French - English (GB, US), English (GB, US) - FrenchNumber of entries: 89,200Number of terms per language: about -10% with respect to the number of entries (i.e. ca. 80,000 terms)Disciplines: about 185Format: The database will be delivered as .DBF files, sorted alphabetically in French and English A viewer is also available upon demand. This software enables a spontaneous search French => English and English => French in the database according to different criteria:- by beginning of term, - by included word,- by discipline,- by abbreviation.Viewing format: .FIC (Windev)Please note that the prices indicated here are dependent from the number of entries available which is growing constantly. Please contact us for further details.

Customer Contacts Database Information showing customer contacts to UK Contact Centres and One Stop Centres by month. Dataset Guidance:

  F2F = Face-to-face (One Stop Centre) 
  CC = Contact centre (Call centre/telephone) 

Contains customer contact details, support details and support emails. Data collection Published by Intellectual Property Office.

Customer contact data helps support the provision of the corporate data as well as assisting customers with their dealings with IPO. For example contacting customers regarding - acceptance or rejection of services, patents or designs, usage of products and telecommunication services provided by big brands such, Sky, BT, Vodafone, Virginmedia & more.

Connecticut General Statutes §16-50dd requires the Connecticut Siting Council to develop, maintain and update on a quarterly basis a Statewide Telecommunications Coverage Database that includes the location, type and height of all telecommunications towers and antennas in the state. Although the Siting Council has made every effort to ensure that this database is as inclusive as possible, it makes no representation that all telecommunications sites in the state are included in this listing. As the Siting Council becomes aware of sites that are unlisted, it takes steps to add these sites to the listing. The Council also welcomes corrections or additions to this database

Comprehensive dataset of 248 Telecommunications in California, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This database is created by the Realistic 3D research group at Mid Sweden University, Sundsvall, Sweden. The database details are explained thoroughly in the publication which was published at the 16th International Conference on Quality of Multimedia Experience (QoMEX) in 2024. This database was also reviewed as part of the submission and publication process. You can use this database in your work under the Creative Commons Attribution 4.0 International (CC-BY 4.0) licence, provided that you cite the database as below: Zerman, E., Gond, M., Takhtardeshir, S., Olsson, R., & Sjöström, M. (2024). A Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications. The 16th International Conference on Quality of Multimedia Experience (QoMEX). IEEE. DOI: 10.1109/QoMEX61742.2024.10598264 BibTeX: @inproceedings{zerman2024spherical, title = {A Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications}, author = {Zerman, Emin and Gond, Manu and Takhtardeshir, Soheib and Olsson, Roger and Sj{"o}str{"o}m, M{\aa}rten}, booktitle = {The 16th International Conference on Quality of Multimedia Experience (QoMEX)}, year = {2024}, organization = {IEEE}, doi = {10.1109/QoMEX61742.2024.10598264}} This database contains 20 spherical light fields of 1 x 60 views, captured with a consumer-grade 360-degree camera: Insta360 X3. The capture was done using a dolly to ensure the separation between consecutive views is exactly 1 cm. In addition to the original captures, this database also provides outputs for two different use cases: compression and view synthesis. Several parameters, features, and objective quality metric values are also included. N.B. Only the README file and this description have been updated after the initial submission on 2024-02-09.

This dataset is about book series. It has 1 row and is filtered where the books is CD-ROM and online computing, electronics and telecommunications databases. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Growth Rate: Mobile: Total data was reported at 8.070 % in 2017. This records an increase from the previous number of 3.160 % for 2016. Growth Rate: Mobile: Total data is updated yearly, averaging 3.460 % from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 10.840 % in 2002 and a record low of 1.240 % in 2014. Growth Rate: Mobile: Total data remains active status in CEIC and is reported by Office of The National Broadcasting and Telecommunications Commission. The data is categorized under Global Database’s Thailand – Table TH.TB006: Telecommunication Statistics: Office of The National Broadcasting and Telecommunications Commission .

The information presented in this data set is based on records of dockets, petitions, tower share requests, and notices of exempt modifications received and processed by the Council.

This database is not an exhaustive listing of all wireless telecommunications sites in the state in that it does not include all information about sites not under the jurisdiction of the Siting Council. The dataset includes a row for each Council action on any given facility.

Although the Connecticut Siting Council makes every effort to keep this spreadsheet current and accurate, the Council makes no representation or warranty as to the accuracy of the data presented herein.

The public is advised that the records upon which the information in this database is based are kept in the Siting Council’s offices at Ten Franklin Square, New Britain and are open for public inspection during normal working hours from 8:30 a.m. to 4:30 p.m. Monday through Friday.

Note to Users: Over the years, some of the wireless companies have had several different corporate identities. In the database, they are identified by the name they had at the time of their application to the Siting Council. To help database users follow the name changes, the list below shows the different names by which the companies have been known. Recent mergers in the telecommunications industry have joined companies listed as separate entities. AT&T Wireless merged with Cingular to do business as New Cingular. Sprint and Nextel have merged to form Sprint/Nextel Corporation.

Cingular: SNET, SCLP, and New Cingular after merger with AT&T

T-Mobile: Omni (Omnipoint), VoiceStream

Verizon: BAM, Cellco

AT&T: AT&T Wireless, New Cingular after merger with Cingular, then Cingular rebranded as AT&T

Nextel: Smart SMR

The distributed database market is experiencing robust growth, driven by the increasing demand for scalability, high availability, and real-time data processing across diverse industries. The market's expansion is fueled by the rise of cloud computing, big data analytics, and the Internet of Things (IoT), all requiring robust, distributed solutions to manage exponentially growing data volumes. Key application sectors like financial services, e-commerce, and telecommunications are spearheading adoption, leveraging distributed databases to handle complex transactions, provide seamless user experiences, and gain valuable insights from vast datasets. The shift towards microservices architectures and the need for geographically distributed data centers further contribute to the market's growth. While challenges remain, such as data consistency and management complexity across distributed nodes, technological advancements in areas like distributed consensus algorithms and data replication are mitigating these issues. Competition is fierce, with established tech giants like AWS, Google, and Alibaba Cloud alongside innovative startups like PingCAP and Cockroach Labs vying for market share. This competitive landscape fosters innovation and accelerates the development of more sophisticated and user-friendly distributed database solutions. The market is segmented by application (Internet, Finance, Telecom, etc.) and type (Distributed Middleware, Asymmetric Computing, Native Distributed, etc.), offering diverse solutions to cater to specific industry needs and technical requirements. Looking ahead, the market is poised for continued expansion, with a projected CAGR (Compound Annual Growth Rate) estimated at 15% between 2025 and 2033. This growth will be influenced by several factors, including the ongoing digital transformation across various sectors, the increasing adoption of cloud-native applications, and the growing sophistication of data analytics techniques. Geographic expansion is also expected, with regions like Asia Pacific exhibiting particularly strong growth due to rapid technological advancement and rising digital adoption rates. However, potential restraints include the need for skilled professionals to implement and manage these complex systems, and the ongoing need for enhanced security measures to protect sensitive data distributed across multiple locations. The successful companies will be those that can offer robust solutions that address both technical challenges and the growing need for data security and regulatory compliance.

Comprehensive dataset of 16 Telecommunications in Montana, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Database Automation Market size was worth around USD 1.74 Billion in 2023 and is predicted to grow to around USD 16.52 Billion by 2032

Analysis of ‘Wireless Telecommunication Tower Sites Under Siting Council Jurisdiction’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/650b9b39-3a9b-4d42-a395-b233ddae16e2 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

The information presented in this data set is based on records of dockets, petitions, tower share requests, and notices of exempt modifications received and processed by the Council.

This database is not an exhaustive listing of all wireless telecommunications sites in the state in that it does not include all information about sites not under the jurisdiction of the Siting Council.

Although the Connecticut Siting Council makes every effort to keep this spreadsheet current and accurate, the Council makes no representation or warranty as to the accuracy of the data presented herein.

The public is advised that the records upon which the information in this database is based are kept in the Siting Council’s offices at Ten Franklin Square, New Britain and are open for public inspection during normal working hours from 8:30 a.m. to 4:30 p.m. Monday through Friday.

Note to Users: Over the years, some of the wireless companies have had several different corporate identities. In the database, they are identified by the name they had at the time of their application to the Siting Council. To help database users follow the name changes, the list below shows the different names by which the companies have been known. Recent mergers in the telecommunications industry have joined companies listed as separate entities. AT&T Wireless merged with Cingular to do business as New Cingular. Sprint and Nextel have merged to form Sprint/Nextel Corporation.

Cingular: SNET, SCLP, and New Cingular after merger with AT&T

T-Mobile: Omni (Omnipoint), VoiceStream

Verizon: BAM, Cellco

AT&T: AT&T Wireless, New Cingular after merger with Cingular, then Cingular rebranded as AT&T

Nextel: Smart SMR

--- Original source retains full ownership of the source dataset ---

The Relational Database Software Market size was estimated at USD 21.97 Billion in 2024 and is projected to reach USD 45.23 Billion by 2031, growing at a CAGR of 9.4 % from 2024 to 2031

Global Relational Database Software Market Drivers

Rising Demand for Efficient Data Management: Organizations across industries are generating and collecting ever-increasing volumes of data. This necessitates efficient and secure data management solutions. Relational databases, with their structured format and robust querying capabilities, offer a valuable tool to organize, manage, and analyze this data, leading to increased demand for this software.

Cloud Adoption and Scalability: The proliferation of cloud computing has significantly impacted the relational database market. Cloud-based database solutions offer scalability, flexibility, and reduced IT infrastructure burden for businesses. This makes them particularly attractive for small and medium-sized enterprises (SMEs) and facilitates easier data access for geographically dispersed teams.

Growing Importance of Data Security and Compliance: Data breaches and cyberattacks pose significant threats to businesses. Relational database software vendors are constantly innovating to enhance security features like encryption and access controls. Additionally, stringent data privacy regulations like GDPR and CCPA are driving the need for compliant data storage and management solutions, further propelling the market for secure relational databases.

Comprehensive dataset of 39,972 Telecommunications service providers in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.