통신 분석 시장 규모, 점유율, 동향 및 예측 : 구성요소, 도입 형태, 조직 규모, 용도, 지역별(2026-2034년)

The global telecom analytics market size was valued at USD 7.6 Billion in 2025. Looking forward, IMARC Group estimates the market to reach USD 23.3 Billion by 2034, exhibiting a CAGR of 12.95% from 2026-2034. North America currently dominates the market, holding a market share of over 42.5% in 2025. The rising number of telecom data, the inflating need for minimizing churn, and the widespread usage of advanced technologies, such as big data, the Internet of Things (IoT), and data science, represent some of the primary drivers fueling the market.

The market is primarily driven by rising demand for enhanced customer experiences, real-time insights, and optimized network performance. The rapid deployment of 5G networks, expected to reach 1.2 billion connections by 2025 and cover a third of the world's population, as per GSMA, necessitates advanced analytics. Automation, artificial intelligence (AI), and machine learning advancements enable predictive maintenance and resource optimization, stimulating operational efficiency. For example, SK Telecom's USD 10 Million investment in Perplexity AI strengthens its generative AI capabilities, enhancing its AI personal assistant services. Partnerships like these highlight the integration of AI and telecom analytics to deliver seamless connectivity, interactive queries, and innovative digital transformation solutions.

The United States is a key regional market and is majorly propelled by the increasing need for data-driven decision-making, enhanced customer experience management, and optimized network performance. The rapid adoption of 5G, Internet of Things (IoT) integration, and cloud-based telecom infrastructure requires advanced analytics to process large data volumes and ensure seamless connectivity. On February 21, 2024, Dell Technologies introduced new solutions, including the Telecom Infrastructure Automation Suite for automated multi-vendor management and Telecom Infrastructure Blocks for Red Hat to simplify cloud deployments, enhancing efficiency, and supporting 5G expansion. Rising concerns over cybersecurity and fraud detection further drive analytics adoption for real-time anomaly detection. Increasing investments in AI and machine learning enable predictive maintenance, while government initiatives promoting digital transformation strengthen telecom analytics adoption across the U.S. market.

TELECOM ANALYTICS MARKET TRENDS:

Rising Monetization of Data

Communication service providers (CSPs) recognize the importance of collecting data that holds substantial value beyond their traditional services. Consequently, CSPs are extensively utilizing telecom analytics to gain actionable insights from their data, which, in turn, allows them to provide valuable information-driven services to other industries. For example, Verizon, a telecommunications provider across the United States, adopted numerous analytic solutions and AI groups around the company. PwC projects that worldwide data usage on telecom networks will nearly triple, rising from 3.4 million petabytes (PB) in 2022 to 9.7 million PB by 2027. Moreover, communication service providers have opportunities to unlock additional revenue through strategic collaborations and partnerships. For example, Pod Solutions joined forces with Subex Limited to enhance IoT billing and connectivity services with advanced security solutions. The collaboration with Subex aided Pod Solutions to develop novel security services, which allowed customers to deploy, bill, and create IoT systems with maximum security.

Growing Regulatory Policies and Compliance

The launch of favorable policies by government bodies to promote the usage of telecom analytics is primarily driving the global market. For instance, in July 2022, the United States Department of Agriculture (USDA) announced an investment of USD 401 Million to enable access to high-speed internet to 31,000 rural residents and businesses in 11 states. Apart from this, the growing focus on regulatory compliance is further positively propelling the telecom analytics market growth. General regulatory updates, like the Kari's Law and the RAY BAUM's Act, can have longer lead timelines. As a result, companies are extensively using the Alliance for Telecommunications Industry Solutions (ATIS) to get timely notifications on telecom regulatory requirements.

Development of Advanced Software

The introduction of cloud-based telecom analytics solutions by key players to remove the need for substantial upfront investments in infrastructures and hardware represents one of the primary factors fueling the global telecom analytics market. Moreover, the solution supports automated and intelligent solution decision-making based on correlated reports generated from data across 5G networks with the help of AI and machine learning tools. The global machine learning market size reached USD 31.0 Billion in 2024. In addition to this, Oracle introduced Oracle Construction Intelligence Cloud Analytics. It addressed the issue of integrating data from numerous applications to project dangers and guide future activities faced by construction and engineering companies, which, in turn, assists them in identifying problems and focusing on strategies to promote continuous improvement throughout asset building, project planning, asset operation, etc.

TELECOM ANALYTICS INDUSTRY SEGMENTATION:

Analysis by Component:

• Solution
• Services

Solution stands as the largest component in 2025, holding around 69.0% of the market. Telecom analytics solutions comprise a wide array of software and tools designed to extract actionable insights from complex and vast data sets within the telecommunications ecosystem. For example, in March 2023, IBM Corporation revealed plans to supply Telecom Egypt (TE) with intelligent automation software, enabling a unified solution for managing operations support systems (OSS) across fixed, mobile, and core networks. Similarly, in February 2023, Bharti Airtel partnered with NVIDIA to create an AI-driven solution aimed at improving customer experiences for inbound calls at its contact centers.

Analysis by Deployment Mode:

• Cloud-based
• On-premises

Cloud-based mode leads the market with around 55.8% of market share in 2025. The inflating popularity of cloud-based telecom analytics solutions, as they offer scalability and flexibility, thereby allowing CSPs to adjust resources according to demand seamlessly. In February 2023, Nokia Corporation introduced AVA Customer and Mobile Network Insights, a cloud-native analytics software designed to streamline the collection and analysis of 5G network data. Moreover, Oracle introduced Oracle Construction Intelligence Cloud Analytics. These solutions provide cost-effectiveness, which is projected to augment the growth of the telecom analytics market in this segmentation over the forecasted period.

Analysis by Organization Size:

• Large Enterprises
• Small and Medium-sized Enterprises

Large enterprises lead the market with around 77.6% of market share in 2025. Telecom analytics is gaining extensive traction among large enterprises, as it provides them with the necessary tools to manage, track, and optimize their network. Additionally, with analytical services and solutions, large enterprises have greater insight into customer preferences, which, in turn, helps them to build lasting relationships with individuals. Telecom analytics also enables large enterprises to identify emerging market trends, improve decision-making, and enhance service delivery. By leveraging predictive analytics, businesses can proactively address network issues, minimize downtime, and optimize resource utilization, ultimately driving customer satisfaction and enhancing operational efficiency in a competitive landscape.

Analysis by Application:

• Customer Management
• Network Management
• Sales and Marketing Management
• Risk and Compliance Management
• Others

Network management leads the market with around 29.8% of market share in 2025. Network management is an important aspect of the telecommunications industry. The rising need for network management is bolstering the adoption of telecom analytics solutions, as they enable communication service providers (CSPs) to predict potential outages and optimize resource allocation. This will continue to stimulate the segment's growth over the foreseeable future. Additionally, the increasing complexity of telecom networks, driven by the deployment of 5G, Internet of things (IoT), and cloud technologies, further highlights the need for advanced analytics solutions. These tools provide real-time insights into network performance, ensuring seamless connectivity and enhanced user experience. Furthermore, the growing demand for automation in network operations is encouraging CSPs to adopt artificial intelligence (AI) and machine learning-based analytics to improve efficiency and reduce operational costs.

Regional Analysis:

• North America
  • United States
  • Canada
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa

In 2025, North America accounted for the largest market share of over 42.5%. The rising number of key players in North America, including IBM Corporation and Oracle Corporation, is primarily propelling the regional market. In line with this, telecom analytics industry players are also entering strategic partnerships and collaborations, which is acting as another significant growth-inducing factor. For example, IBM acquired Sanovi Technologies to elevate its cloud offerings. Furthermore, the widespread adoption of consumer electronics products, including smartphones and tablets, in the U.S. is positively influencing the market growth across the country. For example, the U.S. Census Bureau and Consumer Technology Association reported in January 2022 that sales of smartphones in the U.S. rose to 74.7 Billion in 2022 from USD 73 Billion in 2021. The rising number of smartphone users is elevating the incidences of fraud, which is augmenting the need for telecom analytics solutions across North America. Moreover, the region has some of the world's largest cellular service providers, who rely extensively on consumer feedback. Consequently, CSPs in North America are opting for telecom analytics to offer better quality service at high efficiency. For example, Verizon, a telecommunications provider in the United States, deployed several analytic solutions and AI groups around the company. Similarly, the Data Science and Cognitive Intelligence group focuses on implementing cognitive technology in Verizon's customer interactions.

KEY REGIONAL TAKEAWAYS:

UNITED STATES TELECOM ANALYTICS MARKET ANALYSIS

In 2025, the United States accounts for 73.70% of North America telecom analytics market. The United States has long been a hub for innovation, particularly in the field of artificial intelligence (AI), with AI startups playing a significant role in driving the country's technological advancement. Between 2013 and 2022, the U.S. saw the emergence of 4,633 AI startups, highlighting its position as a global leader in AI development. In 2022 alone, 524 new AI startups were founded, attracting a remarkable USD 47 Billion in non-governmental funding. This thriving AI ecosystem is fueling the growth of the telecom analytics market, as telecom operators in the U.S. increasingly leverage AI and machine learning to optimize network performance, enhance customer experience, and streamline operations. Additionally, the shift toward 5G technologies requires robust analytics solutions to manage large volumes of data generated by high-speed networks. As telecom companies invest in advanced data analytics tools for predictive maintenance, fraud detection, and churn prediction, the U.S. market for telecom analytics continues to expand. The presence of numerous technology providers, coupled with ongoing government support for digital infrastructure and innovation, positions the U.S. as a key player in the global telecom analytics market.

EUROPE TELECOM ANALYTICS MARKET ANALYSIS

In Europe, the telecom analytics market is experiencing significant growth, driven by digital transformation, the rollout of 5G networks, and an increasing reliance on data-driven insights. Telecom operators are adopting advanced analytics solutions to optimize network performance, streamline operations, and enhance customer experiences. A notable trend is the growing integration of the Internet of Things (IoT) into various sectors. According to reports, 29% of EU enterprises used IoT devices in 2021, primarily for securing their premises, highlighting the growing importance of connected devices in the region. This rise in IoT adoption is fueling demand for telecom analytics, as operators need real-time data processing capabilities to manage the influx of connected devices. Additionally, Europe's strong regulatory environment, particularly around data privacy (GDPR), is driving telecom companies to invest in analytics platforms that ensure compliance while unlocking actionable insights. With the increasing focus on operational efficiency and personalized customer services, telecom analytics solutions are vital for businesses to remain competitive in the region. The continued growth of IoT, along with the ongoing 5G expansion, further positions Europe as a key market for telecom analytics, with sustained growth expected in the coming years.

ASIA PACIFIC TELECOM ANALYTICS MARKET ANALYSIS

In the Asia-Pacific (APAC) region, the telecom analytics market is experiencing strong growth, driven by the rapid adoption of 5G networks and increasing mobile data consumption. South Korea leads the way, with 31.3 Million 5G connections, accounting for more than 48% of the country's total mobile connections, while China boasts over 700 million 5G connections, representing 41% of all mobile connections, according to GSMA. These impressive figures highlight the region's commitment to advancing telecom infrastructure, creating a strong demand for advanced analytics tools to manage and optimize the large volumes of data generated by 5G networks. The region's growing reliance on mobile broadband services and connected devices further accelerates the adoption of telecom analytics, enabling operators to enhance network performance, improve customer experience, and streamline operations. As emerging economies in Southeast Asia also expand their telecom networks, the demand for data-driven insights and predictive analytics continues to rise, further fueling market growth in APAC.

LATIN AMERICA TELECOM ANALYTICS MARKET ANALYSIS

Latin America is emerging as one of the fastest-growing mobile markets in the world, creating substantial opportunities for the telecom analytics sector. According to the Mobile Growth Association (MGA), the region had 326 Million mobile internet users in 2018, a number projected to grow to 422 Million by 2025. This rapid expansion in mobile connectivity is driving telecom operators to adopt advanced analytics solutions to manage rising data traffic, optimize network performance, and improve customer experience. Additionally, the rollout of 5G networks and the increasing adoption of IoT devices are further strengthening the demand for real-time analytics tools. As operators focus on enhancing operational efficiency and delivering personalized services, telecom analytics is becoming essential for sustaining growth and innovation in Latin America.

MIDDLE EAST AND AFRICA TELECOM ANALYTICS MARKET ANALYSIS

The Middle East and Africa (MEA) telecom analytics market is expanding rapidly, driven by the growing adoption of 5G networks and increasing mobile penetration. According to TeleGeography, Saudi Arabia leads the MEA region in 5G adoption, with over 11.2 Million subscriptions by the end of 2022, accounting for more than a quarter of the country's total mobile sector. This rise in 5G users highlights the need for advanced analytics solutions to manage rising data traffic and optimize network performance. As telecom operators focus on enhancing customer experiences and supporting smart city initiatives, analytics tools are becoming indispensable in the MEA region.

COMPETITIVE LANDSCAPE:

Top telecom analytics companies are strengthening the market through strategic initiatives. These companies invest in advanced research and development (R&D) activities to continuously enhance the capabilities of telecom analytics solutions. They collaborate with technology partners to integrate cutting-edge technologies like AI and machine learning, enabling more accurate insights and predictive capabilities. Moreover, top firms prioritize customization, tailoring telecom analytics solutions to meet different communication service providers' unique needs. They offer comprehensive training and support to ensure seamless adoption and effective utilization of these solutions. Furthermore, these companies engage in industry partnerships, sharing best practices and case studies demonstrating the tangible benefits of telecom analytics in enhancing operational efficiency, customer experiences, and security. By leading the way in innovation, customization, and collaboration, top companies are driving wider adoption of telecom analytics across the industry, fortifying their position as a crucial tool for shaping the future of telecommunications.

The report provides a comprehensive analysis of the competitive landscape in the telecom analytics market with detailed profiles of all major companies, including:

• Accenture plc
• Adobe Inc.
• Cisco Systems Inc.
• Dell Technologies Inc.
• International Business Machines Corporation
• Oracle Corporation
• SAP SE
• SAS Institute
• Sisense Inc.
• Tableau Software (Salesforce.com Inc.)
• Teradata Corporation
• TIBCO Software Inc.

KEY QUESTIONS ANSWERED IN THIS REPORT

1. What is telecom analytics?

2. How big is the telecom analytics market?

3. What is the expected growth rate of the global telecom analytics market during 2026-2034?

4. What are the key factors driving the global telecom analytics market?

5. What is the leading segment of the global telecom analytics market based on component?

6. What is the leading segment of the global telecom analytics market based on deployment mode?

7. What is the leading segment of the global telecom analytics market based on enterprise size?

8. What is the leading segment of the global telecom analytics market based on application?

9. What are the key regions in the global telecom analytics market?

10. Who are the key players/companies in the global telecom analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Telecom Analytics Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Component

• 6.1 Solution
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Services
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast

7 Market Breakup by Deployment Mode

• 7.1 Cloud-based
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 On-premises
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast

8 Market Breakup by Organization Size

• 8.1 Large Enterprises
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Small and Medium-sized Enterprises
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast

9 Market Breakup by Application

• 9.1 Customer Management
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Network Management
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast
• 9.3 Sales and Marketing Management
  • 9.3.1 Market Trends
  • 9.3.2 Market Forecast
• 9.4 Risk and Compliance Management
  • 9.4.1 Market Trends
  • 9.4.2 Market Forecast
• 9.5 Others
  • 9.5.1 Market Trends
  • 9.5.2 Market Forecast

10 Market Breakup by Region

• 10.1 North America
  • 10.1.1 United States
    • 10.1.1.1 Market Trends
    • 10.1.1.2 Market Forecast
  • 10.1.2 Canada
    • 10.1.2.1 Market Trends
    • 10.1.2.2 Market Forecast
• 10.2 Asia-Pacific
  • 10.2.1 China
    • 10.2.1.1 Market Trends
    • 10.2.1.2 Market Forecast
  • 10.2.2 Japan
    • 10.2.2.1 Market Trends
    • 10.2.2.2 Market Forecast
  • 10.2.3 India
    • 10.2.3.1 Market Trends
    • 10.2.3.2 Market Forecast
  • 10.2.4 South Korea
    • 10.2.4.1 Market Trends
    • 10.2.4.2 Market Forecast
  • 10.2.5 Australia
    • 10.2.5.1 Market Trends
    • 10.2.5.2 Market Forecast
  • 10.2.6 Indonesia
    • 10.2.6.1 Market Trends
    • 10.2.6.2 Market Forecast
  • 10.2.7 Others
    • 10.2.7.1 Market Trends
    • 10.2.7.2 Market Forecast
• 10.3 Europe
  • 10.3.1 Germany
    • 10.3.1.1 Market Trends
    • 10.3.1.2 Market Forecast
  • 10.3.2 France
    • 10.3.2.1 Market Trends
    • 10.3.2.2 Market Forecast
  • 10.3.3 United Kingdom
    • 10.3.3.1 Market Trends
    • 10.3.3.2 Market Forecast
  • 10.3.4 Italy
    • 10.3.4.1 Market Trends
    • 10.3.4.2 Market Forecast
  • 10.3.5 Spain
    • 10.3.5.1 Market Trends
    • 10.3.5.2 Market Forecast
  • 10.3.6 Russia
    • 10.3.6.1 Market Trends
    • 10.3.6.2 Market Forecast
  • 10.3.7 Others
    • 10.3.7.1 Market Trends
    • 10.3.7.2 Market Forecast
• 10.4 Latin America
  • 10.4.1 Brazil
    • 10.4.1.1 Market Trends
    • 10.4.1.2 Market Forecast
  • 10.4.2 Mexico
    • 10.4.2.1 Market Trends
    • 10.4.2.2 Market Forecast
  • 10.4.3 Others
    • 10.4.3.1 Market Trends
    • 10.4.3.2 Market Forecast
• 10.5 Middle East and Africa
  • 10.5.1 Market Trends
  • 10.5.2 Market Breakup by Country
  • 10.5.3 Market Forecast

11 SWOT Analysis

• 11.1 Overview
• 11.2 Strengths
• 11.3 Weaknesses
• 11.4 Opportunities
• 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

• 13.1 Overview
• 13.2 Bargaining Power of Buyers
• 13.3 Bargaining Power of Suppliers
• 13.4 Degree of Competition
• 13.5 Threat of New Entrants
• 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

• 15.1 Market Structure
• 15.2 Key Players
• 15.3 Profiles of Key Players
  • 15.3.1 Accenture plc
    • 15.3.1.1 Company Overview
    • 15.3.1.2 Product Portfolio
    • 15.3.1.3 Financials
    • 15.3.1.4 SWOT Analysis
  • 15.3.2 Adobe Inc.
    • 15.3.2.1 Company Overview
    • 15.3.2.2 Product Portfolio
    • 15.3.2.3 Financials
    • 15.3.2.4 SWOT Analysis
  • 15.3.3 Cisco Systems Inc.
    • 15.3.3.1 Company Overview
    • 15.3.3.2 Product Portfolio
    • 15.3.3.3 Financials
    • 15.3.3.4 SWOT Analysis
  • 15.3.4 Dell Technologies Inc.
    • 15.3.4.1 Company Overview
    • 15.3.4.2 Product Portfolio
    • 15.3.4.3 Financials
    • 15.3.4.4 SWOT Analysis
  • 15.3.5 International Business Machines Corporation
    • 15.3.5.1 Company Overview
    • 15.3.5.2 Product Portfolio
  • 15.3.6 Oracle Corporation
    • 15.3.6.1 Company Overview
    • 15.3.6.2 Product Portfolio
    • 15.3.6.3 Financials
    • 15.3.6.4 SWOT Analysis
  • 15.3.7 SAP SE
    • 15.3.7.1 Company Overview
    • 15.3.7.2 Product Portfolio
    • 15.3.7.3 Financials
    • 15.3.7.4 SWOT Analysis
  • 15.3.8 SAS Institute
    • 15.3.8.1 Company Overview
    • 15.3.8.2 Product Portfolio
    • 15.3.8.3 SWOT Analysis
  • 15.3.9 Sisense Inc.
    • 15.3.9.1 Company Overview
    • 15.3.9.2 Product Portfolio
  • 15.3.10 Tableau Software (Salesforce.com Inc.)
    • 15.3.10.1 Company Overview
    • 15.3.10.2 Product Portfolio
  • 15.3.11 Teradata Corporation
    • 15.3.11.1 Company Overview
    • 15.3.11.2 Product Portfolio
    • 15.3.11.3 Financials
    • 15.3.11.4 SWOT Analysis
  • 15.3.12 TIBCO Software Inc.
    • 15.3.12.1 Company Overview
    • 15.3.12.2 Product Portfolio
    • 15.3.12.3 SWOT Analysis