통신 운영 관리 시장 규모, 점유율, 성장 분석 : 솔루션 유형별, 배포 방식별, 서비스 유형별, 지역별 - 산업 예측(2025-2032년)
Telecom Operations Management Market Size, Share, and Growth Analysis, By Solution Type (Network Management, Service Management), By Deployment Type (On-Premises, Cloud-Based), By Service Type, By Region -Industry Forecast 2025-2032.
상품코드 : 1796121
리서치사 : SkyQuest
발행일 : 2025년 08월
페이지 정보 : 영문 175 Pages
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한글목차

세계의 통신 운영 관리 시장 규모는 2023년에 128억 6,000만 달러에 달하며, 2024년 142억 달러에서 2032년에는 303억 3,000만 달러로 성장하며, 예측 기간(2025-2032년)의 CAGR은 8.95%로 성장할 전망입니다.

시장 인사이트에 따르면 세계 통신 운영 관리 분야는 5G 기술의 부상과 함께 효율적인 네트워크 관리의 필요성이 증가하면서 견고한 성장 궤도를 그리고 있습니다. 통신사업자들은 클라우드 서비스, 자동화, AI를 활용한 분석이 업무 효율성 향상과 워크플로우 간소화에 기여하는 역할을 강조하며, 합리적인 가격의 업무 혁신에 점점 더 많은 관심을 기울이고 있습니다. 모바일 데이터 소비의 급증과 사물인터넷(IoT)의 확대는 규제 대응 및 디지털 전환 노력과 함께 시장의 모멘텀을 더욱 가속화하고 있습니다. 특히 AI와 머신러닝을 통신 운영 관리 솔루션에 통합하여 데이터 분석을 개선하고, 패턴을 식별하고, 잠재적인 네트워크 문제를 사전에 파악하여 궁극적으로 신뢰성과 사용자 경험을 향상시킴으로써 업계를 변화시키고 있습니다.

목차

서론

분석 방법

개요

시장 역학과 전망

시장의 주요 인사이트

세계의 통신 운영 관리 시장 규모·CAGR : 솔루션 유형별(2025-2032년)

세계의 통신 운영 관리 시장 규모·CAGR : 배포 방식별(2025-2032년)

세계의 통신 운영 관리 시장 규모·CAGR : 서비스 유형별(2025-2032년)

세계의 통신 운영 관리 시장 규모·CAGR(2025-2032년)

경쟁 구도

주요 기업 개요

결론과 제안

KSA
영문 목차

영문목차

Global Telecom Operations Management Market size was valued at USD 12.86 Billion in 2023 and is poised to grow from USD 14.20 Billion in 2024 to USD 30.33 Billion by 2032, growing at a CAGR of 8.95% over the forecast period (2025-2032).

Market insights highlight a robust growth trajectory in the global telecom operations management sector, driven by the escalating need for efficient network management alongside the rise of 5G technology. Telecom operators are increasingly leaning towards affordable operational innovations, emphasizing the role of cloud services, automation, and AI-powered analytics in enhancing operational efficiency and streamlining workflows. The upsurge in mobile data consumption and the expansion of the Internet of Things (IoT) further contribute to market momentum, alongside regulatory compliance and digital transformation initiatives. Notably, the integration of AI and machine learning within telecom operations management solutions is transforming the industry, as these technologies improve data analysis, identify patterns, and proactively address potential network issues, ultimately enhancing reliability and user experience.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Telecom Operations Management market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Telecom Operations Management Market Segments Analysis

The global telecom operations management market is segmented into solution type, deployment type, service type, and region. By solution type, the market is classified into network management, service management, security management and cloud management. Depending on deployment type, classified into on-premises, cloud-based, SaaS, and hybrid. By service type, the market is classified into managed services and professional services. Regionally, it is analyzed across North America, Europe, Asia-Pacific, Latin America, and the the Middle East and Africa.

Driver of the Global Telecom Operations Management Market

One of the key market drivers for the Global Telecom Operations Management Market is the increasing demand for enhanced network efficiency and performance optimization among telecommunications providers. As the global telecom landscape evolves, operators are pressured to streamline operations, reduce costs, and improve service quality to stay competitive. This necessity has led to heightened investments in advanced technologies such as artificial intelligence, machine learning, and automation, which facilitate more effective network management and operations. Consequently, telecom companies are actively seeking comprehensive operations management solutions that can provide real-time insights, predictive analytics, and improved resource allocation, fostering overall growth in the market.

Restraints in the Global Telecom Operations Management Market

One significant market restraint for the Global Telecom Operations Management Market is the increasing complexity of telecommunications networks driven by the rapid evolution of technologies such as 5G, IoT, and AI. This complexity poses challenges for telecom operators in managing and optimizing their operations effectively, leading to potential inefficiencies and increased costs. Additionally, the need for continuous updates and integration of various systems can strain existing resources and require substantial investments in new technology and training, hindering the overall growth and adoption of telecom operations management solutions in a highly competitive environment.

Market Trends of the Global Telecom Operations Management Market

The Global Telecom Operations Management (TOM) market is witnessing a significant trend driven by the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies. These advanced algorithms enhance TOM solutions by enabling operators to analyze vast datasets, identify patterns, and predict network issues proactively. Consequently, telecom operators can address potential disruptions before they affect end-users, thereby significantly boosting network reliability and performance. The automated fault detection and resolution capabilities facilitated by AI and ML further optimize operations, leading to more efficient management processes. This ongoing technological advancement is poised to propel market growth, making telecom operations management more effective and responsive.

Table of Contents

Introduction

Research Methodology

Executive Summary

Market Dynamics & Outlook

Key Market Insights

Global Telecom Operations Management Market Size by Solution Type & CAGR (2025-2032)

Global Telecom Operations Management Market Size by Deployment Type & CAGR (2025-2032)

Global Telecom Operations Management Market Size by Service Type & CAGR (2025-2032)

Global Telecom Operations Management Market Size & CAGR (2025-2032)

Competitive Intelligence

Key Company Profiles

Conclusion & Recommendations

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