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/

Dataset Card for Telco Customer Churn

This dataset contains information about customers of a fictional telecommunications company, including demographic information, services subscribed to, location details, and churn behavior. This merged dataset combines the information from the original Telco Customer Churn dataset with additional details.

  Dataset Details





  Dataset Description

This merged Telco Customer Churn dataset provides a comprehensive view of customer… See the full description on the dataset page: https://huggingface.co/datasets/aai510-group1/telco-customer-churn.

2021.

The World Telecommunications/ICT Indicators database (WTID) contains time series data for the years 1960, 1965, 1970 and annually from 1975 to 2018 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. Notes including metadata are also included.

Comprehensive dataset containing 4,384 verified Telecommunications businesses in India with complete contact information, ratings, reviews, and location data.

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

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 Analytics In Telecom Market Outlook

The global market size for Big Data Analytics in the Telecom sector was valued at approximately USD 10 billion in 2023 and is projected to reach around USD 50 billion by 2032, exhibiting a robust CAGR of 20% during the forecast period. This impressive growth trajectory is fueled by the increasing demand for advanced analytics to optimize operations, enhance customer experience, and improve network management. The telecom sector's continuous expansion and the proliferation of connected devices are also significant contributors to this market's rapid growth.

One of the primary growth factors for this market is the exponential increase in data generation. With the advent of 5G technology, the volume of data transmitted over networks has surged, necessitating sophisticated analytics to manage and utilize this data effectively. Telecom companies are increasingly relying on big data analytics to derive actionable insights from vast datasets, which can lead to improved decision-making and strategic planning. Moreover, the integration of IoT devices and services has further amplified data traffic, making analytics indispensable for telecom operators.

Another crucial driver is the need for enhanced customer experience. Telecom operators are leveraging big data analytics to gain deeper insights into customer behavior, preferences, and pain points. This data-driven approach allows for personalized marketing strategies, better customer service, and reduced churn rates. By analyzing customer data, telecom companies can identify trends and patterns that help in developing targeted campaigns and offers, thereby increasing customer loyalty and satisfaction.

Operational efficiency is also a significant factor propelling the growth of big data analytics in the telecom market. Telecom operators are under constant pressure to improve their network performance and reduce operational costs. Big data analytics enables real-time monitoring and predictive maintenance of network infrastructure, leading to fewer outages and improved service quality. Additionally, analytics helps in optimizing resource allocation and enhancing the overall efficiency of telecom operations.

Regionally, North America holds a substantial share of the big data analytics in telecom market, driven by the presence of leading telecom companies and advanced technology infrastructure. Additionally, the Asia Pacific region is expected to witness the fastest growth rate due to the rapid digital transformation and increasing adoption of advanced analytics solutions in emerging economies like China and India. European countries are also making significant investments in big data analytics to enhance their telecom services, contributing to the market's growth.

Component Analysis

In the context of components, the Big Data Analytics in Telecom market is segmented into software, hardware, and services. The software segment is anticipated to dominate the market, as telecom operators increasingly invest in advanced analytics platforms and tools. The software solutions facilitate the processing and analysis of large datasets, enabling telecom companies to gain valuable insights and improve decision-making processes. Moreover, the software segment includes various sub-categories such as data management, data mining, and predictive analytics, each contributing significantly to market growth.

The hardware segment, although smaller compared to software, plays a critical role in the overall ecosystem. This segment includes servers, storage systems, and other hardware components necessary for data processing and storage. As data volumes continue to grow, the demand for robust and scalable hardware solutions is also on the rise. Telecom companies are investing in high-performance hardware to ensure seamless data management and analytics capabilities. The hardware segment is essential for supporting the infrastructure needed for big data analytics.

On the services front, the market is witnessing substantial growth due to the increasing need for consulting, integration, and maintenance services. Telecom operators often require expert guidance and support to implement and manage big data analytics solutions effectively. Service providers offer a range of services, including system integration, data migration, and ongoing support, which are crucial for the success

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.

Comprehensive dataset of 43 Telecommunications in Oregon, 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.

Telco Data Monetization Market size was valued at USD 1,463.03 Million in 2024 and is projected to reach USD 5,635.22 Million by 2032, growing at a CAGR of 18.54% from 2026 to 2032.The global telco data monetization market represents a transformative opportunity within the telecommunications industry, driven by the increasing need for telecom operators to diversify revenue streams and maximize the value of their vast data assets. As the demand for data-driven decision-making surges across industries, telcos are uniquely positioned to leverage customer usage patterns, network analytics, and location-based insights to generate new income sources and enhance operational efficiency. The proliferation of advanced technologies such as artificial intelligence, big data analytics, and cloud computing has accelerated the ability of telecom providers to commercialize their data effectively.

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).

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.

Telecommunication Cable: Lay Distance: By Region: Northern data was reported at 4,478.000 km in Sep 2019. This records an increase from the previous number of 4,248.000 km for Jun 2019. Telecommunication Cable: Lay Distance: By Region: Northern data is updated quarterly, averaging 6,406.000 km from Mar 2016 (Median) to Sep 2019, with 15 observations. The data reached an all-time high of 10,551.000 km in Jun 2016 and a record low of 3,435.000 km in Mar 2019. Telecommunication Cable: Lay Distance: By Region: Northern 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 .

Serbia Telecommunications: Fixed Network: Annual: Number of Subscribers data was reported at 2,455,325.000 Unit in 2015. This records a decrease from the previous number of 2,629,716.000 Unit for 2014. Serbia Telecommunications: Fixed Network: Annual: Number of Subscribers data is updated yearly, averaging 2,760,270.000 Unit from Dec 2001 (Median) to 2015, with 15 observations. The data reached an all-time high of 2,969,721.000 Unit in 2009 and a record low of 2,234,346.000 Unit in 2001. Serbia Telecommunications: Fixed Network: Annual: Number 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.

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.

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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

Minutes of Use: Mobile: Blended data was reported at 160.000 min/Month in 2017. This records a decrease from the previous number of 185.000 min/Month for 2016. Minutes of Use: Mobile: Blended data is updated yearly, averaging 249.500 min/Month from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 320.000 min/Month in 2011 and a record low of 160.000 min/Month in 2017. Minutes of Use: Mobile: Blended 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 .