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.

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.

United States Telecom Rev: LS: Local Private Line data was reported at 30.472 USD bn in 2016. This records a decrease from the previous number of 32.191 USD bn for 2015. United States Telecom Rev: LS: Local Private Line data is updated yearly, averaging 23.840 USD bn from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 32.191 USD bn in 2015 and a record low of 1.049 USD bn in 1992. United States Telecom Rev: LS: Local Private Line data remains active status in CEIC and is reported by Federal Communications Commission. The data is categorized under Global Database’s USA – Table US.TB001: Telecom Revenue.

Abstract copyright UK Data Service and data collection copyright owner.

The Organisation for Economic Co-operation and Development (OECD) Telecommunications and Internet Statistics covers provides time series of telecommunications and economic indicators such as network dimension, revenues, investment and employment for OECD countries from 1980 onwards. These data allows evaluation of policy performance in this sector across the OECD region.

The OECD Telecommunications and Internet Statistics is made up of the Telecommunications Database and Broadband database.

The Telecommunications Database provides both telecommunication and economic time-series data covering thirty OECD Member countries from 1980 onwards. The broadband database on information and communication technology (ICT) contains indicators on wireless and fixed broadband usage, access and diffusion to OECD households, individuals and businesses.

These data were first provided by the UK Data Service in March 2015.

United States Telecom Rev: LS: Other Local data was reported at 1.510 USD bn in 2016. This records an increase from the previous number of 1.493 USD bn for 2015. United States Telecom Rev: LS: Other Local data is updated yearly, averaging 3.032 USD bn from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 7.687 USD bn in 1992 and a record low of 1.407 USD bn in 1994. United States Telecom Rev: LS: Other Local data remains active status in CEIC and is reported by Federal Communications Commission. The data is categorized under Global Database’s USA – Table US.TB001: Telecom Revenue.

Global Non-Native Database Management System market will reach USD 1,231 million by 2025, at a CAGR of 10.8% between 2019 and 2025. The large-scale usage of non-native database management systems in BFSI, as well as IT & telecom sectors, is set to drive the growth of the market over the forecast timeline.

In the observed period, P4 has been the operator attracting the most significant number of bundled service customers in Poland in 2023. Orange gathered nearly 13 percent of bundled service users in the database.

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.

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

Database Automation Systems Market size was valued at USD 1875.08 Million in 2024 and is projected to reach USD 13193.79 Million by 2031, growing at a CAGR of 27.62% from 2024 to 2031.

Database Automation Systems Market: Definition/ Overview

Database automation systems refer to tools and technologies that automate tasks involved in database management, such as provisioning, patching, backup, monitoring, and security. These solutions reduce manual intervention, ensuring greater efficiency, accuracy, and system performance. Database automation is widely used across IT & Telecom, banking and finance, healthcare, retail, and manufacturing industries. In IT, it facilitates seamless data management, while in finance, it ensures compliance and secure handling of customer data. Healthcare organizations utilize these systems to manage medical records and regulatory compliance, and retail businesses rely on them for efficient handling of inventory and transaction data.

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

Global In-memory database market is expected to revenue of around USD 36.21 billion by 2032, growing at a CAGR of 19.2% between 2024 and 2032.

United States Telecom Rev: Toll Service (TS) data was reported at 36.342 USD bn in 2016. This records a decrease from the previous number of 39.678 USD bn for 2015. United States Telecom Rev: Toll Service (TS) data is updated yearly, averaging 68.637 USD bn from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 109.615 USD bn in 2000 and a record low of 36.342 USD bn in 2016. United States Telecom Rev: Toll Service (TS) data remains active status in CEIC and is reported by Federal Communications Commission. The data is categorized under Global Database’s USA – Table US.TB001: Telecom Revenue.

The Cloud Database and DBaaS Market Report is Segmented by Component (Solution, Services), by Type (NoSQL, Relational Database), by Deployment (Public, Private, Hybrid), by Enterprise Size (SMEs, Large Enterprises), by End-User (BFSI, IT and Telecom, Retail, Healthcare, Government, Other End-Users), by Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

[198+ Pages Report] Global graph database market size & share estimated to be worth USD 5.2 Billion in the year 2026, growing at a CAGR value of 21.7% during the forecast period of 2021-2026.

The size and share of the market is categorized based on Application (IoT, Retail, Media, Financial Services, Pharmaceutical) and Product (Hadoop, NoSQL, MPP Databases) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

A searchable database of all applications received by the Broadband Technology and Opportunities Program (NTIA) and the Broadband Initiatives Program (RUS)

Infrastructure industries-including telecommunications, electricity, water, and gas-underwent massive structural changes in the 1990s. During that decade, hundreds of privatization transactions valued at billions of dollars were completed in these sectors in developing and transition economies. While privatization has received the most attention, reforms also included market liberalization, structural changes like unbundling, and the introduction of new laws and regulations. To date, regulations have received far less attention than their potential economic effects warrant, largely due to lack of data. In order to address this problem, the authors set out to compile a comprehensive and consistent dataset through an extensive survey of telecommunications and electricity regulators in developing countries. The authors describe the surveys and the resulting database. The database of telecommunications regulations includes 178 variables on regulatory governance and content in 45 countries. The database of electricity regulations includes 374 variables in 20 countries.

The GPU Database Market Report is Segmented by Component (Solution, Services), by Deployment (Cloud, On-Premises), by End-User (BFSI, IT and Telecom, Retail, Healthcare, Government, Other End-Users), by Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

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