Telecom Analytics Market: Current Analysis and Forecast (2024-2032)

Emphasis on Component (Solution and Services), Deployment (Cloud and On-premises), Organization Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)), Application (Customer Management, Network Management, Sales and Marketing Management, Risk and Compliance Management, and Others); Region/Country.

Geography:

Global

Industry:

Telecom & IT

Last updated:

Jun 2024

Telecom Analytics Market Size & Forecast


Telecom Analytics Market Size & Forecast


The Telecom Analytics Market was valued at USD 6.2 Billion in 2023 and is expected to grow at a strong CAGR of around 15% during the forecast period (2024-2032). This growth is majorly due to the explosion of data and rising demand for improved customer experience. The telecommunications industry generates vast amounts of data from network operations, customer interactions, and device usage. The proliferation of smartphones, IoT devices, and high-speed networks has led to an explosion of data, creating opportunities for telecom companies to leverage analytics to extract actionable insights. Further, telecom analytics enables companies to analyze customer behavior, preferences, and satisfaction levels to personalize services, address issues proactively, and enhance overall customer experience.


Telecom Analytics Market Analysis


Telecom analytics uses advanced data analysis techniques and technologies to extract insights from telecommunications data. This data can include network performance metrics, customer behavior patterns, service usage trends, and billing information. Telecom analytics aims to help companies optimize their operations, improve customer experience, reduce churn, identify revenue opportunities, and make data-driven decisions to stay competitive in the rapidly evolving telecommunications industry.


Insights on Telecom Analytics Market Segmentation


The Telecom Analytics market is segmented into Solutions and Services, based on Components. In 2023, the Solution segment held the dominant share of the market. Solutions like predictive analytics enable telecom operators to anticipate customer needs and preferences, leading to more targeted marketing campaigns and personalized services. Additionally, network optimization and predictive maintenance solutions help telecom companies ensure seamless service delivery and minimize downtime, enhancing overall customer satisfaction.


The Telecom Analytics market is segmented by Deployment into On-Premises and Cloud. The Cloud segment held the dominant share of the market in 2023. Cloud-based analytics platforms provide scalability and flexibility, allowing telecom companies to efficiently manage and analyze vast volumes of data generated from various sources, including customer interactions, network performance metrics, and operational processes. For example, major telecom players like AT&T and Verizon have migrated their analytics workloads to cloud platforms like AWS and Azure to leverage advanced analytics capabilities and accelerate innovation in areas such as 5G network rollout and IoT services.


By Application, the Telecom Analytics market is segmented into Customer Management, Network Management, Sales & Marketing Management, Risk & Compliance Management, and Others. The Network Management segment held the dominant share of the market in 2023. The dominance of the Network Management segment is propelled by the increasing complexity of telecom networks and the growing importance of ensuring optimal performance and reliability. With the proliferation of connected devices and the exponential growth in data traffic, telecom operators rely on advanced analytics tools to monitor network performance in real time, detect anomalies or security threats, and proactively address issues to prevent service disruptions. For example, telecom giants like Ericsson and Nokia offer network analytics solutions that enable operators to optimize resource allocation, enhance network capacity planning, and deliver superior service to end-users.


By Organization Size, the Telecom Analytics market is segmented into large enterprises and SMEs. The large Enterprise segment held the dominant share of the market in 2023. Large Enterprises’ dominance in the telecom analytics market can be attributed to their significant investments in technology infrastructure and resources to support sophisticated analytics initiatives. Large telecom operators such as Verizon, AT&T, and Vodafone have established dedicated analytics teams and centers of excellence to drive innovation and develop advanced analytics capabilities in-house.


Telecom Analytics Market


North America held a dominant share of the market in 2023


North America’s dominant market share is fueled by several factors, including the region’s advanced telecom infrastructure, tech-savvy consumer base, and supportive regulatory environment. Leading telecom companies in North America, such as Verizon and AT&T, have been at the forefront of leveraging analytics to drive digital transformation and enhance customer experiences. For instance, Verizon utilizes analytics to optimize its network performance, improve service reliability, and deliver innovative offerings like edge computing and IoT solution.


Telecom Analytics Market


Telecom Analytics Industry Overview


The Telecom Analytics Market is competitive and fragmented, with several global and international market players. The key players are adopting different growth strategies to enhance their market presence, such as partnerships, agreements, collaborations, new product launches, geographical expansions, and mergers and acquisitions. The major players operating in the market are Huawei Technologies Co., Ltd., Adobe Inc., Cisco Systems Inc., Dell Technologies Inc., International Business Machines Corporation (IBM), Ascom, SAP SE, Teradata, Cloud Software Group, Inc. (TIBCO), and SAS Institute Inc.


Telecom Analytics Market News


In April 2022, NOKIA revealed plans to supply 7250 IXR chassis-based interconnect routers to support high-density 400GE applications in Microsoft’s ‘tier-2’ network architecture. This move aims to enhance scale, agility, and resilient networking in the data center environment. Such advancements empower firms to efficiently analyze vast amounts of data, leading to improved customer service and increased prospects of customer retention. Consequently, this is expected to drive growth in the telecom analytics market.


In March 2022, HCL and IBM announced a collaborative effort to establish a center of excellence, focusing on providing network modernization technologies to telecom operators. This initiative aims to assist telco clients in transforming their networks, encompassing core vRAN, ORAN, private networks, edge modernization, and 5G. The adoption of such technologies is anticipated to propel market growth by enabling operators to adapt to evolving network requirements effectively.


In June 2021, AT&T disclosed plans to transition its 5G network to Microsoft Azure, aiming to enhance speed, security, cost efficiency, and innovation. With the surge in data volume, telecom companies are turning to cloud service providers and employing analytics for improved data security and management. These advancements are poised to positively impact market growth as operators leverage cloud-based solutions to address the challenges posed by escalating data demands.


Telecom Analytics Market Report Coverage


Telecom Analytics Market


Reasons to buy this report:



  • The study includes market sizing and forecasting analysis validated by authenticated key industry experts.

  • The report presents a quick review of overall industry performance at one glance.

  • The report covers an in-depth analysis of prominent industry peers with a primary focus on key business financials, product portfolios, expansion strategies, and recent developments.

  • Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry.

  • The study comprehensively covers the market across different segments.

  • Deep dive regional level analysis of the industry.


Customization Options:


The Global Telecom Analytics Market can further be customized as per the requirement or any other market segment. Besides this, UMI understands that you may have your own business needs, hence feel free to connect with us to get a report that completely suits your requirements.


Table of Contents

Research Methodology for the Telecom Analytics Market Analysis (2024-2032)


Analyzing the historical market, estimating the current market, and forecasting the future market of the Global Telecom Analytics Market were the three major steps undertaken to create and analyze the adoption of Telecom Analytics in major regions globally. Exhaustive secondary research was conducted to collect the historical market numbers and estimate the current market size. Secondly, to validate these insights, numerous findings and assumptions were taken into consideration. Moreover, exhaustive primary interviews were also conducted, with industry experts across the value chain of the Global Telecom Analytics Market. Post assumption and validation of market numbers through primary interviews, we employed a top-down/bottom-up approach to forecasting the complete market size. Thereafter, market breakdown and data triangulation methods were adopted to estimate and analyze the market size of segments and sub-segments of the industry pertains to. Detailed methodology is explained below:


Analysis of Historical Market Size


Step 1: In-Depth Study of Secondary Sources:


Detail secondary study was conducted to obtain the historical market size of the Telecom Analytics Market through company internal sources such as annual reports & financial statements, performance presentations, press releases, etc., and external sources including journals, news & articles, government publications, competitor publications, sector reports, third-party database, and other credible publications.


Step 2: Market Segmentation:


After obtaining the historical market size of the Telecom Analytics Market, we conducted a detailed secondary analysis to gather historical market insights and share for different segments & sub-segments for major regions. Major segments are included in the report as Component, Deployment, Application, and Organization Size. Further country-level analyses were conducted to evaluate the overall adoption.


Step 3: Factor Analysis:


After acquiring the historical market size of different segments and sub-segments, we conducted a detailed factor analysis to estimate the current market size of the Telecom Analytics Market. Further, we conducted factor analysis using dependent and independent variables such as Component, Deployment, Application, and Organization Size of the Telecom Analytics Market. A thorough analysis was conducted for demand and supply-side scenarios considering top partnerships, mergers and acquisitions, business expansion, and product launches in the Telecom Analytics Market sector across the globe.


Current Market Size Estimate & Forecast


Current Market Sizing: Based on actionable insights from the above 3 steps, we arrived at the current market size, key players in the Global Telecom Analytics Market, and market shares of the segments. All the required percentage shares split, and market breakdowns were determined using the above-mentioned secondary approach and were verified through primary interviews.


Estimation & Forecasting: For market estimation and forecast, weights were assigned to different factors including drivers & trends, restraints, and opportunities available for the stakeholders. After analyzing these factors, relevant forecasting techniques i.e., the top-down/bottom-up approach were applied to arrive at the market forecast for 2032 for different segments and sub-segments across the major markets globally. The research methodology adopted to estimate the market size encompasses:



  • The industry’s market size, in terms of revenue (USD) and the adoption rate of the Telecom Analytics Market across the major markets domestically

  • All percentage shares, splits, and breakdowns of market segments and sub-segments

  • Key players in the Global Telecom Analytics Market in terms of products offered. Also, the growth strategies adopted by these players to compete in the fast-growing market


Market Size and Share Validation Primary Research


In-depth interviews were conducted with the Key Opinion Leaders (KOLs) including Top Level Executives (CXO/VPs, Sales Head, Marketing Head, Operational Head, Regional Head, Country Head, etc.) across major regions. Primary research findings were then summarized, and statistical analysis was performed to prove the stated hypothesis. Inputs from primary research were consolidated with secondary findings, hence turning information into actionable insights.


Split of Primary Participants in Different Regions


Telecom Analytics Market graph


Market Engineering


The data triangulation technique was employed to complete the overall market estimation and to arrive at precise statistical numbers for each segment and sub-segment of the global Lithium Silicon Battery. Data was split into several segments & sub-segments post studying various parameters and trends in the areas of Capacity, Application and Component in the global Lithium Silicon Battery.


The main objective of the Global Telecom Analytics Market Study


The current & future market trends of the Global Telecom Analytics Market were pinpointed in the study. Investors can gain strategic insights to base their discretion for investments on the qualitative and quantitative analysis performed in the study. Current and future market trends determined the overall attractiveness of the market at a regional level, providing a platform for the industrial participant to exploit the untapped market to benefit from a first-mover advantage. Other quantitative goals of the studies include:



  • Analyze the current and forecast market size of the Telecom Analytics Market in terms of value (USD). Also, analyze the current and forecast market size of different segments and sub-segments.

  • Segments in the study include areas of Component, Deployment, Application, and Organization Size.

  • Define and analysis of the regulatory framework for the Telecom Analytics

  • Analyze the value chain involved with the presence of various intermediaries, along with analyzing customer and competitor behaviors of the industry.

  • Analyze the current and forecast market size of the Telecom Analytics Market for the major region.

  • Major countries of regions studied in the report include Asia Pacific, Europe, North America, and the Rest of the World

  • Company profiles of the Telecom Analytics Market and the growth strategies adopted by the market players to sustain in the fast-growing market

  • Deep dive regional level analysis of the industry



Frequently Asked Questions FAQs

Q1: What is the current market size and growth potential of the Telecom Analytics Market?

Q2: What are the driving factors for the growth of the Telecom Analytics Market?

Q3: Which segment has the largest share of the Telecom Analytics Market by Component?

Q4: What are the emerging technologies and trends in the Telecom Analytics Market?

Q5: Which region will dominate the Telecom Analytics Market?

Related Reports

Customers who bought this item also bought

Simulation Games Market: Current Analysis and Forecast (2021-2027)

Simulation Games Market: Current Analysis and Forecast (2021-2027)

Emphasis on Component (Hardware, Software); Game type (Fighting, Racing, Shooting, Others); End-use (Residential and Commercial), Region/ Country

November 16, 2022

Natural Language Processing Market: Current Analysis and Forecast (2021-2027)

Natural Language Processing Market: Current Analysis and Forecast (2021-2027)

Emphasis on Type (Rule-based, Statistical, Hybrid), Application (Information extraction, Machine translation, Question answering, Report generation, Others); Deployment (On-Premise, Cloud); Application (BFSI, Healthcare, IT and Telecom, Retail, Others), Region/ Country

November 16, 2022

Emotion Detection and Recognition Market: Current Analysis and Forecast (2021-2027)

Emotion Detection and Recognition Market: Current Analysis and Forecast (2021-2027)

Emphasis on Technology (Feature Extraction & 3D Modeling, Biosensors, Natural Learning Processing (NLP), and Others); Software Tools (Facial Expression & Emotion Recognition, Gesture & Posture Recognition, Voice Recognition); Application Area (Marketing & Advertising, Law Enforcement, Surveillance & Monitoring, Entertainment & Consumer Electronics, Others); Region/Country.

November 15, 2022

Generative AI Cybersecurity Market: Current Analysis and Forecast (2024-2032)

Generative AI Cybersecurity Market: Current Analysis and Forecast (2024-2032)

Emphasis on Deployment (On-Premise, Cloud-Based, Hybrid); Technology (Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Reinforcement Learning (RL), Deep Neural Networks (DNNs), Natural Language Processing (NLP), Others); Application (Network Security, Endpoint Security, Cloud Security, Application Security, Others); End-User  (Banking, Financial Services, And Insurance (BFSI), Healthcare, Retail, IT & Telecom, Government and Defense, Energy and Utilities, and Others); and Region/Country

November 4, 2024