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.

Big Data in Telecom Market Outlook

The global Big Data in Telecom market size was valued at approximately USD 15 billion in 2023 and is projected to reach around USD 50 billion by 2032, growing at a robust CAGR of 14.5% during the forecast period. This growth is driven by the increasing adoption of data-driven decision-making processes and the rising need for enhancing customer experiences in the telecom sector. Furthermore, the proliferation of connected devices and the expansion of high-speed internet infrastructure are significant growth factors fueling the market.

One of the most prominent growth drivers for the Big Data in Telecom market is the exponential increase in data traffic. With the advent of 5G technology, the volume of data being transmitted over telecom networks has surged, necessitating advanced data analytics solutions. Telecom operators are increasingly leveraging big data analytics to manage and optimize network performance, which in turn enhances customer satisfaction and reduces operational costs. The integration of artificial intelligence (AI) and machine learning (ML) with big data analytics is further augmenting the capabilities of telecom operators in predictive maintenance and customer behavior analysis.

Another critical factor contributing to market growth is the competitive landscape of the telecom industry. Telecom operators are under constant pressure to innovate and offer superior services to retain customers and attract new ones. Big data analytics provides telecom companies with the tools to gain deeper insights into customer preferences and behavior, enabling them to offer personalized services and targeted marketing campaigns. In addition, regulatory frameworks and policies mandating data security and privacy are pushing telecom operators to invest in advanced big data solutions to ensure compliance and safeguard customer data.

Moreover, the rapid advancements in cloud computing technology have made big data solutions more accessible and cost-effective for telecom operators. Cloud-based big data analytics offers scalability, flexibility, and reduced infrastructure costs, making it an attractive option for telecom companies of all sizes. The integration of big data analytics with cloud platforms allows telecom operators to analyze vast amounts of data in real-time, providing actionable insights that drive strategic decision-making. The shift towards cloud-based solutions is expected to accelerate the adoption of big data analytics in the telecom sector.

From a regional perspective, North America holds a significant share of the Big Data in Telecom market, attributed to the presence of major telecom operators and advanced technology infrastructure. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period. The rapid digital transformation, increasing internet penetration, and growing investments in telecom infrastructure in countries like China and India are key drivers for the market growth in this region. Europe and Latin America are also expected to contribute significantly to the market, driven by the increasing focus on enhancing customer experience and optimizing network operations.

Component Analysis

When analyzing the Big Data in Telecom market by component, it is essential to consider the three primary categories: software, hardware, and services. Each of these components plays a crucial role in the implementation and effectiveness of big data solutions in the telecom industry. The software segment includes various analytics tools and platforms that enable telecom operators to process and analyze large volumes of data. Advanced analytics software, such as predictive analytics and artificial intelligence algorithms, are increasingly being adopted to gain deeper insights into customer behavior and network performance.

The hardware segment encompasses the physical infrastructure required to support big data analytics. This includes high-performance servers, storage systems, and networking equipment. As the volume of data generated by telecom networks continues to grow, there is a corresponding need for robust and scalable hardware solutions to store and process this data efficiently. Investments in advanced hardware technologies, such as edge computing and quantum computing, are expected to drive the growth of the hardware segment in the coming years.

The services segment includes a range of professional services that support the deployment and maintenance of big data solutions in the telecom sector. This includes consulting service

Key information about United States Imports: Telecommunication Equipment

• United States Imports: Telecommunication Equipment was reported at 91,227,531.509 USD th in Dec 2022
• This records an increase from the previous number of 35,632,733.349 USD th for Dec 2021
• US Imports: Telecommunication Equipment data is updated yearly, averaging 43,984,157.613 USD th from Dec 1995 to 2022, with 28 observations
• The data reached an all-time high of 121,458,180.936 USD th in 2015 and a record low of 17,812,992.157 USD th in 1996
• US Imports: Telecommunication Equipment data remains active status in CEIC and is reported by United Nations Conference on Trade and Development
• The data is categorized under World Trend Plus’s Association: Electronic Sector – Table RF.UNCTAD.TE: Telecommunication Equipment: Import Value

Key information about United States Exports: Telecommunication Equipment

• United States Exports: Telecommunication Equipment was reported at 91,227,531.509 USD th in Dec 2022
• This records an increase from the previous number of 35,632,733.349 USD th for Dec 2021
• US Exports: Telecommunication Equipment data is updated yearly, averaging 31,235,418.707 USD th from Dec 1995 to 2022, with 28 observations
• The data reached an all-time high of 91,227,531.509 USD th in 2022 and a record low of 17,842,317.638 USD th in 1995
• US Exports: Telecommunication Equipment data remains active status in CEIC and is reported by United Nations Conference on Trade and Development
• The data is categorized under World Trend Plus’s Association: Electronic Sector – Table RF.UNCTAD.TE: Telecommunication Equipment: Export Value

This statistic illustrates the mobile data traffic of the Italian telecommunication firm Telecom Italia (TIM) between 2014 and 2018. As of the survey period, the mobile data traffic increased consistently, passing from ***** Pbytes in 2014, to ***** Pbytes in 2018.

The wireless telecommunication carrier industry has witnessed significant shifts recently, driven by evolving consumer demands and technological advancements. The popularity of smartphones and rising data consumption habits have mainly driven growth. Households have chosen to disconnect their landlines to cut costs and receive network access away from home. Industry revenue was bolstered during the current period by a surge in mobile internet demand. The revival of unlimited data and call plans prompted industry-wide adjustments to pricing and data offerings. While competition has intensified, leading to price wars and slender margins, carriers have embraced bundled offerings of value-added services, like streaming subscriptions, to distinguish themselves. Despite these efforts, revenue growth remains sluggish amid high operational costs and a saturated market. Overall, Wireless Telecommunications Carriers' revenue has modestly grown at an annualized rate of 0.1% to total $340.3 billion in 2025, when revenue will climb an estimated 6.0%, as the early shift to fifth-generation (5G) enables businesses to renegotiate the current product-price paradigm with consumers. The industry is defined by a transition from primarily providing voice services to focusing on providing data services. Technological change, namely the shift from fourth-generation (4G) wireless data services to 5G, continues to shape the industry. Companies expand scope through mergers and acquisitions, acquiring spectrum and niche customer bases. The battle for wireless spectrum intensified as 5G technology became a focal point, requiring carriers to secure valuable frequency bands through hefty investments. For instance, Verizon's $45 billion expenditure in the C-band spectrum auction highlights the critical importance of spectrum acquisition. While Federal Communications Commission (FCC) regulations have curtailed large-scale consolidations, strategic alliances and mergers have been common to share infrastructure and expand market reach. Also, unlimited data plans have shaken up cost structures and shifted consumers to new providers. Following the expansion of unlimited data and calls, profit is poised to inch downward as the cost of acquiring new customers begins to mount. Profitability is additionally hindered by supply chain disruptions, which still loom large, as equipment delays and price hikes impact rollout timeliness. Industry revenue is forecast to incline at an annualized 5.4% through 2030, totaling an estimated $443.5 billion, driven by the expansion of mobile devices using data services and increasing average revenue per user. As the rollout of 5G networks increases the speed of wireless data services, more consumers will view on-the-go internet access as an essential function of mobile phones. Moving forward, the industry landscape will be characterized by the heightened competition among carriers for wireless spectrum, an already scarce resource and efforts to connect more Americans in remote parts of the country to fast and reliable internet. Subscriber saturation presents a formidable challenge, compelling carriers to focus on existing customers and innovative service packages. Companies like AT&T and Verizon are pioneering flexible infrastructure projects, which could redefine the industry’s operational efficiency. Despite facing spectrum supply limitations, the industry is poised to benefit from seamless connectivity solutions for various sectors, potentially redefining wireless carriers’ roles in an increasingly interconnected world.

Graph Database for Telecom Networks Market Outlook

According to our latest research, the global market size for Graph Database for Telecom Networks in 2024 stands at USD 1.47 billion, with a robust compound annual growth rate (CAGR) of 22.1% projected from 2025 to 2033. By the end of 2033, the market is expected to reach USD 7.02 billion. This remarkable growth is primarily fueled by the increasing complexity of telecom networks, the proliferation of connected devices, and the urgent need for real-time data processing and analytics to drive operational efficiency and competitive differentiation. As per our latest research, the adoption of graph database technologies is accelerating in the telecom sector, enabling organizations to address challenges related to data interconnectivity, fraud detection, and network optimization.

One of the most significant growth factors in the Graph Database for Telecom Networks market is the exponential rise in data generated by telecom networks, driven by the widespread adoption of 5G technology, IoT devices, and digital transformation initiatives. Telecom operators are increasingly leveraging graph databases to model and manage complex relationships between network elements, subscribers, and services. These databases enable organizations to gain a holistic view of their networks, streamline network management processes, and quickly identify and resolve issues. The ability of graph databases to handle dynamic, highly connected data structures gives telecom operators a strategic advantage in managing network topologies, optimizing routing, and delivering superior customer experiences. As the volume and complexity of telecom data continue to surge, the demand for advanced graph database solutions is expected to grow at a rapid pace, underpinning the market's impressive CAGR.

Another critical driver for the Graph Database for Telecom Networks market is the increasing emphasis on fraud detection and prevention. Telecom networks are frequent targets for sophisticated fraud schemes, including subscription fraud, SIM card cloning, and international revenue share fraud. Traditional relational databases often fall short in detecting complex fraud patterns that span multiple entities and relationships. In contrast, graph databases excel at uncovering hidden connections and suspicious activity in real-time, enabling telecom operators to proactively mitigate risks and reduce financial losses. By integrating graph analytics with machine learning algorithms, telecom companies can enhance their ability to detect anomalies, improve security, and comply with regulatory requirements. This growing need for advanced fraud detection capabilities is a key factor propelling the adoption of graph database technologies in the telecom industry.

The evolution of customer analytics and personalized service offerings is also playing a pivotal role in driving the Graph Database for Telecom Networks market. Telecom operators are increasingly focused on delivering tailored services and experiences to retain customers and increase revenue. Graph databases empower organizations to analyze customer interactions, preferences, and behavior across multiple touchpoints, enabling hyper-personalized marketing, targeted upselling, and improved customer support. The ability to map and analyze complex customer journeys in real-time allows telecom companies to identify high-value segments, predict churn, and design effective retention strategies. As customer expectations continue to rise, the adoption of graph database solutions for advanced analytics and personalized service delivery is expected to accelerate, further fueling market expansion.

Regionally, the Graph Database for Telecom Networks market is witnessing significant growth in Asia Pacific, North America, and Europe, with emerging economies in Latin America and the Middle East & Africa also showing considerable potential. North America currently leads the market, driven by the presence of major telecom operators, advanced network infrastructure, and early adoption of cutting-edge technologies. Asia Pacific is projected to exhibit the highest CAGR during the forecast period, supported by rapid digitalization, expanding mobile subscriber base, and substantial investments in 5G and IoT deployments. Europe remains a key market, benefiting from regulatory initiatives, strong R&D capabilities, and a mature telecom ecosystem. As telecom operators across regions strive to modernize their netw

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

Provide telecommunications fraud case data (This data is preliminary statistics at the beginning of each quarter, for reference only, the accurate statistics are based on the annual crime statistics data of this department).

Telecommunications: Mobile Network: Annual: No of Subscribers data was reported at 9,731,004.000 Unit in 2022. This records an increase from the previous number of 8,501,519.000 Unit for 2021. Telecommunications: Mobile Network: Annual: No of Subscribers data is updated yearly, averaging 8,561,759.500 Unit from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 10,182,023.000 Unit in 2011 and a record low of 1,884,708.000 Unit in 2001. Telecommunications: Mobile Network: Annual: No of Subscribers data remains active status in CEIC and is reported by Statistical Office of the Republic of Serbia. The data is categorized under Global Database’s Serbia – Table RS.TB002: Telecommunication Statistics.

Various telecommunication datasets such as cellphone towers and service areas, land mobile station locations, AM, FM, and TV communication can be downloaded on an FCC page. Additionally, data files can be individually downloaded from the FCC Universal Licensing System data site. This data resource is intended to guide users toward the authoritative data source and to demonstrate at least one translation of that data into a spatial format.

The metadata for this translated dataset is here:

Antenna Structure Registration: antenna_structure_registration_mn.html

In addition, the Department of Homeland Security's Homeland Infrastructure Foundation - Level Data (HIFLD) program has an "Open Data" site, which includes a nationwide dataset on Cellular Towers derived from the FCC Universal Licensing System Database: https://hifld-geoplatform.opendata.arcgis.com/datasets/cellular-towers

Significant fluctuations are estimated for all segments over the forecast period for the average spend per capita. Concerning the four selected segments, the segment Mobile Data has the largest average spend per capita with 478.69 U.S. dollars. Contrastingly, Mobile Voice is ranked last, with 119.18 U.S. dollars. Their difference, compared to Mobile Data, lies at 359.51 U.S. dollars. Find further statistics on other topics such as a comparison of the revenue change in the world and a comparison of the average spend per capita in Asia. The Statista Market Insights cover a broad range of additional markets.

TR: Fixed Broadband Internet Subscribers: per 100 People data was reported at 14.769 Ratio in 2017. This records an increase from the previous number of 13.205 Ratio for 2016. TR: Fixed Broadband Internet Subscribers: per 100 People data is updated yearly, averaging 9.042 Ratio from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 14.769 Ratio in 2017 and a record low of 0.017 Ratio in 2001. TR: Fixed Broadband Internet Subscribers: per 100 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Turkey – Table TR.World Bank: Telecommunication. Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.; ; International Telecommunication Union, World Telecommunication/ICT Development Report and database.; Weighted average; Please cite the International Telecommunication Union for third-party use of these data.

Turkey Telecommunication: Net Sales: Mobile Operators data was reported at 29,785.480 TRY mn in 2017. This records an increase from the previous number of 26,365.290 TRY mn for 2016. Turkey Telecommunication: Net Sales: Mobile Operators data is updated yearly, averaging 14,641.334 TRY mn from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 29,785.480 TRY mn in 2017 and a record low of 6,699.477 TRY mn in 2004. Turkey Telecommunication: Net Sales: Mobile Operators data remains active status in CEIC and is reported by Information and Communication Technologies Authority . The data is categorized under Global Database’s Turkey – Table TR.TB003: Telecommunication Statistics.

Peru Telecommunications & Other Information Services Index: Telecommunications data was reported at 387.479 2007=100 in Apr 2019. This records a decrease from the previous number of 390.884 2007=100 for Mar 2019. Peru Telecommunications & Other Information Services Index: Telecommunications data is updated monthly, averaging 227.197 2007=100 from Jan 2007 (Median) to Apr 2019, with 148 observations. The data reached an all-time high of 391.883 2007=100 in Jan 2019 and a record low of 89.212 2007=100 in Feb 2007. Peru Telecommunications & Other Information Services Index: Telecommunications data remains active status in CEIC and is reported by National Institute of Statistics and Information Science. The data is categorized under Global Database’s Peru – Table PE.TB003: Telecommunication Services Index.

Turkey Telecommunication Operators: Net Sales data was reported at 11,068.236 TRY mn in Jun 2018. This records an increase from the previous number of 10,454.142 TRY mn for Mar 2018. Turkey Telecommunication Operators: Net Sales data is updated quarterly, averaging 6,725.700 TRY mn from Mar 2010 (Median) to Jun 2018, with 34 observations. The data reached an all-time high of 11,068.236 TRY mn in Jun 2018 and a record low of 5,199.790 TRY mn in Mar 2010. Turkey Telecommunication Operators: Net Sales data remains active status in CEIC and is reported by Information and Communication Technologies Authority . The data is categorized under Global Database’s Turkey – Table TR.TB003: Telecommunication Statistics.

Telecommunication Service: Number of Telephone Lines: Wireline: All India data was reported at 24,400,627.000 Unit in 2017. This records a decrease from the previous number of 25,224,568.000 Unit for 2016. Telecommunication Service: Number of Telephone Lines: Wireline: All India data is updated yearly, averaging 31,192,606.500 Unit from Mar 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 36,956,684.000 Unit in 2010 and a record low of 24,400,627.000 Unit in 2017. Telecommunication Service: Number of Telephone Lines: Wireline: All India data remains active status in CEIC and is reported by Department of Telecommunications. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TE032: Telecommunication Service: Number of Telephone Lines: Wireline.

Telecommunication Service: Number of Telephone Lines: Urban: All India data was reported at 693,181.517 Unit th in 2017. This records an increase from the previous number of 611,563.477 Unit th for 2016. Telecommunication Service: Number of Telephone Lines: Urban: All India data is updated yearly, averaging 363,359.716 Unit th from Mar 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 693,181.517 Unit th in 2017 and a record low of 35,823.649 Unit th in 2002. Telecommunication Service: Number of Telephone Lines: Urban: All India data remains active status in CEIC and is reported by Department of Telecommunications. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TE031: Telecommunication Service: Number of Telephone Lines.

Iran IR: Internet Users: Individuals: % of Population data was reported at 60.416 % in 2017. This records an increase from the previous number of 53.227 % for 2016. Iran IR: Internet Users: Individuals: % of Population data is updated yearly, averaging 8.100 % from Dec 1990 (Median) to 2017, with 25 observations. The data reached an all-time high of 60.416 % in 2017 and a record low of 0.000 % in 1990. Iran IR: Internet Users: Individuals: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iran – Table IR.World Bank: Telecommunication. Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.; ; International Telecommunication Union, World Telecommunication/ICT Development Report and database.; Weighted average; Please cite the International Telecommunication Union for third-party use of these data.

GN: Internet Users: Individuals: % of Population data was reported at 9.800 % in 2016. This records an increase from the previous number of 8.200 % for 2015. GN: Internet Users: Individuals: % of Population data is updated yearly, averaging 0.526 % from Dec 1990 (Median) to 2016, with 24 observations. The data reached an all-time high of 9.800 % in 2016 and a record low of 0.000 % in 1990. GN: Internet Users: Individuals: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea – Table GN.World Bank: Telecommunication. Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.; ; International Telecommunication Union, World Telecommunication/ICT Development Report and database.; Weighted average; Please cite the International Telecommunication Union for third-party use of these data.