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 Report Covers Global Telecom Data Analytics Market Growth, Forecast & Industry Trends and it is Segmented by Application (Customer Analytics, Network Analytics, Market Analytics, Price Analytics, Service Analytics), Deployment (Cloud and On-premises), and Geography. The market size and forecasts are provided in terms of value (USD billion) for all the above segments.

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

Dataset

This dataset was created by Chetan K

Contents

In the 2020/21 fiscal year there were 24.9 million data and internet users with Ethio Telecom in Ethiopia, up 4.7 percent from the previous year, and the highest number of subscribers they have had during the given period from 2012/13.

Telecom Rev: TS: Operator data was reported at 1.876 USD bn in 2016. This records a decrease from the previous number of 2.351 USD bn for 2015. Telecom Rev: TS: Operator data is updated yearly, averaging 6.567 USD bn from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 12.205 USD bn in 1998 and a record low of 1.876 USD bn in 2016. Telecom Rev: TS: Operator 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.

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GIS In Telecom Sector Market Size 2025-2029

The GIS in telecom sector market size is forecast to increase by USD 2.35 billion at a CAGR of 15.7% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of Geographic Information Systems (GIS) for capacity planning in the telecommunications industry. GIS technology enables telecom companies to optimize network infrastructure, manage resources efficiently, and improve service delivery. Telecommunication assets and network management systems require GIS integration for efficient asset management and network slicing. However, challenges persist in this market. A communication gap between developers and end-users poses a significant obstacle.
Companies seeking to capitalize on opportunities in the market must focus on addressing these challenges, while also staying abreast of technological advancements and market trends. Effective collaboration between developers and end-users, coupled with strategic investments, will be essential for success in this dynamic market. Telecom companies must bridge this divide to ensure the development of user-friendly and effective GIS solutions. Network densification and virtualization platforms are key trends, allowing for efficient spectrum management and data monetization. Additionally, the implementation of GIS in the telecom sector requires substantial investment in technology and infrastructure, which may deter smaller players from entering the market.

What will be the Size of the GIS In Telecom Sector Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the dynamic telecom sector, GIS technology plays a pivotal role in customer analysis, network planning, and infrastructure development. Customer experiences are enhanced through location-based services and real-time data analysis, enabling telecom companies to tailor offerings and improve service quality. Network simulation and capacity planning are crucial for network evolution, with machine learning and AI integration facilitating network optimization and compliance with industry standards.
IOT connectivity and network analytics platforms offer valuable insights for smart city infrastructure development, with 3D data analysis and network outage analysis ensuring network resilience. Telecom industry partnerships foster innovation and collaboration, driving the continuous evolution of the sector. Consulting firms offer expertise in network compliance and network management, ensuring regulatory adherence and optimal network performance.

How is this GIS In Telecom Sector Industry segmented?

The gis in telecom sector industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Software
  Data
  Services


Deployment

  On-premises
  Cloud


Application

  Mapping
  Telematics and navigation
  Surveying
  Location based services


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Product Insights

The software segment is estimated to witness significant growth during the forecast period. In the telecom sector, the deployment of 5G networks is driving the need for advanced Geographic Information Systems (GIS) to optimize network performance and efficiency. GIS technology enables spatial analysis, network automation, capacity analysis, and bandwidth management, all crucial elements in the rollout of 5G networks. Large enterprises and telecom consulting firms are integrating GIS data into their operations for network planning, optimization, and troubleshooting. Machine learning and artificial intelligence are transforming GIS applications, offering predictive analytics and real-time network performance monitoring. Network virtualization and software-defined networking are also gaining traction, enhancing network capacity and improving network reliability and maintenance.

GIS software companies provide solutions for desktops, mobiles, cloud, and servers, catering to various industry needs. Smart city initiatives and location-based services are expanding the use cases for GIS in telecom, offering new opportunities for growth. Infrastructure deployment and population density analysis are critical factors in network rollout and capacity enhancement. Network security and performance monitoring are essential components of GIS applications, ensuring network resilience and customer experience management. Edge computing and network latency reduction are also signi

United States Telecom Rev: TS: Non Telecommunications data was reported at 311.404 USD bn in 2016. This records an increase from the previous number of 301.121 USD bn for 2015. United States Telecom Rev: TS: Non Telecommunications data is updated yearly, averaging 71.493 USD bn from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 311.404 USD bn in 2016 and a record low of 6.944 USD bn in 1992. United States Telecom Rev: TS: Non Telecommunications 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.

Telecom Rev: TS: Non Operator Switched Toll data was reported at 18.297 USD bn in 2016. This records a decrease from the previous number of 21.499 USD bn for 2015. Telecom Rev: TS: Non Operator Switched Toll data is updated yearly, averaging 46.387 USD bn from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 78.389 USD bn in 1999 and a record low of 18.297 USD bn in 2016. Telecom Rev: TS: Non Operator Switched Toll 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.

A proprietary, data-science derived Phone Quality Level (PQL) score that measures the quality of the phone number(s) associated with an individual in our US Consumer database to ensure the highest levels of deliverability at a fraction of the cost compared to our competitors.

The telecom and data cable market was valued at $19.18 billion in 2022, and it is expected to grow at a CAGR of 8.51% and reach $45.37 billion by 2032.

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

Global Data Monetization in Telecom market size is expected to reach $15.18 billion by 2029 at 24.3%, segmented as by component, tools, services

2021.

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

Telco Data Monetization Market Outlook

The global telco data monetization market size was valued at approximately USD 9.2 billion in 2023, and it is projected to reach USD 25.7 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 12.1% during the forecast period. The growth of this market is primarily driven by the increasing emphasis on leveraging big data and analytics by telecom operators to improve user experience, optimize network operations, and create additional revenue streams. As the telecommunications industry continues to evolve, the demand for innovative data monetization solutions is anticipated to surge, providing ample opportunities for both established players and new entrants.

One of the key growth factors propelling the telco data monetization market is the significant increase in mobile data consumption globally. With the proliferation of smartphones and other connected devices, the volume of data generated by consumers and businesses alike has skyrocketed. This data holds immense potential for telecom operators, as it provides valuable insights into consumer behavior, preferences, and usage patterns. By effectively analyzing and monetizing this data, operators can offer personalized services and targeted marketing, significantly enhancing customer experience and engagement. Furthermore, the advent of 5G technology is expected to facilitate faster data speeds and more reliable connections, further boosting the data generation and monetization opportunities.

Another significant driver of market growth is the rising competition among telecom operators. With the telecom sector becoming increasingly saturated, operators are seeking new ways to differentiate themselves and gain a competitive edge. Monetizing data has emerged as a viable strategy, allowing operators to develop innovative service offerings and business models. Moreover, the integration of artificial intelligence and machine learning technologies into data analytics platforms has made it easier for operators to process and derive actionable insights from vast datasets. This has led to a surge in investments toward developing advanced data monetization solutions that are both scalable and efficient.

Regulatory developments and changing consumer attitudes towards data privacy and security also play a crucial role in shaping the telco data monetization market. While data monetization presents numerous opportunities, it also poses challenges related to user consent and data protection. Telecom operators are increasingly adopting transparent and ethical data handling practices to gain consumer trust and comply with stringent data protection regulations such as the GDPR. Additionally, many consumers are becoming more aware of the value of their data, prompting operators to offer value-added services in exchange for data sharing. This shift in consumer perspective is creating a symbiotic relationship where both parties benefit from data monetization initiatives.

Regionally, North America is expected to dominate the telco data monetization market, driven by a well-established telecommunications infrastructure and high penetration of advanced technologies. The region's strong focus on innovation and early adoption of new technology trends, such as 5G, positions it as a leader in data monetization efforts. Meanwhile, the Asia Pacific region is projected to witness the highest growth rate, supported by the rapid digital transformation and increasing mobile internet user base in emerging economies. Countries like China and India are at the forefront of this growth, with telecom operators actively exploring data-driven revenue models to cater to the diverse needs of their vast consumer base.

Call Data Analysis plays a pivotal role in the telco data monetization landscape by providing telecom operators with the ability to dissect and understand the vast amounts of call data generated daily. This analysis allows operators to gain insights into call patterns, duration, and frequency, which can be leveraged to enhance customer service and operational efficiency. By understanding these patterns, telecom companies can optimize their network resources, reduce congestion, and improve call quality. Moreover, Call Data Analysis enables operators to identify trends and anomalies, which can be crucial for detecting fraudulent activities and ensuring network security. As telecom operators continue to seek innovative ways to monetize data, the integration of call data insights into their strategies offers a significant opportunity to enhance service offer

Telecom: Number of 4G Subscriber: China Telecom data was reported at 280.580 Unit mn in Jan 2020. This records a decrease from the previous number of 281.240 Unit mn for Dec 2019. Telecom: Number of 4G Subscriber: China Telecom data is updated monthly, averaging 187.770 Unit mn from Jan 2016 (Median) to Jan 2020, with 49 observations. The data reached an all-time high of 281.240 Unit mn in Dec 2019 and a record low of 63.560 Unit mn in Jan 2016. Telecom: Number of 4G Subscriber: China Telecom data remains active status in CEIC and is reported by China Telecom Corporation Limited. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICA: Telecommunication: Number of Subscriber: 3G, 4G & 5G.

According to Cognitive Market Research, the global telecom services market size was USD 1794.9 billion in 2022 and will grow at a compound annual growth rate (CAGR) of 6.60% from 2023 to 2030. How are the Key Drivers Affecting the Telecom Services Market?

Rise in Investment in Wireless Communications of the Future help in the Growth of the Market

The demand is driven by higher expenditure on next-generation wireless communication setups due to preferences shifting toward 5G networks and cloud-based technology. The market is expected to increase fast as a result of rising demand for high-speed data connectivity, increasing worldwide digitalization, and the proliferation of OTT platforms. The proliferation of 5G-enabled smartphones in every country is a major driver of market expansion. The epidemic has increased the market's size as well. Around the world, entertainment platforms have gained enormous popularity when individuals are alone at home.

For instance, in 2023, the global telecommunications market is predicted to grow strongly, with forecasted global spending of 1.5 trillion US dollars. This is a 2.8 percent increase over the projected expenditure for 2022. In a time of flexible work, the dependability of telecom services has grown more crucial as businesses and governments see the significance of telecom investment in the digital economy.

(Source:www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/telecommunications-industry-outlook.html)

The Factors Hindering the Growth of the Telecom Services Market

Network Congestion and Capacity Limitations Hinder Market Growth

As the demand for data and connectivity continues to grow, networks can become congested, leading to degraded service quality and slower data speeds. The rapid increase in data consumption due to streaming, online gaming, video conferencing, and other bandwidth-intensive activities substantially strains existing network infrastructure. This need is increased further by the expansion of Internet of Things (IoT) devices and the deployment of 5G networks, which allow for ever more data-hungry applications.

Regulatory Fragmentation and Compliance Costs can hamper the market.

One of the key restraints in the international telecom services market is the fragmented and complicated regulatory environment in various geographies. Telecom operators have to deal with an array of regulations related to data privacy, net neutrality, spectrum management, and cybersecurity, which are highly dissimilar across countries. This regulatory fragmentation raises the cost of compliance and operational complexity, which acts as a deterrent to the provision of seamless services across geographies by telecom companies. Enforcement of rigorous data protection legislation, like the General Data Protection Regulation (GDPR) of the European Union, places tremendous compliance burdens on telecommunications operators. (Source: - https://gdpr.eu/what-is-gdpr/ ) These rules mandate telecommunication firms to invest in effective data protection infrastructure, undertake regular audits, and maintain transparency of data handling policies. Failure to comply can attract heavy fines and damage to their reputation. Net neutrality laws that require internet service providers to treat all data on the internet on an equal footing, without favoritism or charging differently per user, content, website, platform, or application, are quite different geographically. Evolutions in net neutrality policies may impact the business models of telecommunications operators, as they influence the pricing and offering of services.

Key Opportunity of the market.

Integration in Edge Computing can be an opportunity.

Edge computing enables near-source or network edge data processing and analysis in place of distant data centers. This significantly lessens data transit times, resulting in lower latency. In contexts where real-time or near-real-time feedback is paramount such as autonomous vehicles, telemedicine, and industrial automation, lower latency is crucial. Telecom services that integrate edge computing have provided the low-latency infrastructure essential for these applications, making them more efficient and reliable. Edge computing minimizes the requirement to send large volumes of data over long distances to centralized data centers. Rather, only processed or pertinent data is sent, reducing the...

Big Data Analytics In Telecom Market size was valued at USD 4.91 Billion in 2024 and is projected to reach USD 155.33 Billion by 2032, growing at a CAGR of 54% from 2026 to 2032.

Global Big Data Analytics In Telecom Market Drivers

Unprecedented Growth in Data Volume: Network traffic, customer contacts, Internet of Things (IoT) devices, social media, and other sources are all contributing to the explosive growth in data volume that telecom firms are seeing. This means that in order to get useful insights from this enormous datasets, sophisticated analytics techniques are required. Demand for Personalized Services: Customers are becoming more and more accustomed to receiving services that are specific to their tastes and actions. Telecom firms can now analyze client data in real-time and provide personalized services, promotions, and goods, all thanks to big data analytics, which increases consumer happiness and loyalty.

The telecom wireless data market was estimated at US$ 24.27 billion in 2022 and is anticipated to grow at a CAGR of 6.16% to reach US$ 41.51 billion by 2032.