세계의 통신 운영 관리 시장 규모는 2024년 137억 3,000만 달러였고, CAGR 8.71%로 확대되어, 2030년까지 226억 6,000만 달러에 달할 것으로 예측되고 있습니다.
통신 운영 관리 시장은 통신 서비스 제공업체의 일상 업무 관리, 간소화 및 최적화에 중점을 둔 통신 산업의 부문을 말합니다.
| 시장 개요 | |
|---|---|
| 예측 기간 | 2026-2030년 |
| 시장 규모 : 2024년 | 137억 3,000만 달러 |
| 시장 규모 : 2030년 | 226억 6,000만 달러 |
| CAGR : 2025-2030년 | 8.71% |
| 급성장 부문 | IT/ITES |
| 최대 시장 | 북미 |
네트워크 운영, 고객 서비스, 결제, 수익 보증, 비즈니스 프로세스 자동화 등의 관리를 포함합니다. 통신 네트워크의 지속적인 발전과 데이터 중심 서비스에 대한 수요가 증가함에 따라 효율적인 운영 관리는 수익성과 경쟁 우위를 유지하는 데 필수적입니다.
5G 배포, 사물인터넷(Internet of Things) 디바이스의 보급, 클라우드 기반의 서비스에 대한 의존도의 향상 등 기술적 진보에 견인된 통신 네트워크의 급속한 확대로 시장의 대폭적인 확대가 예상되고 있습니다. 고품질의 중단없는 서비스에 대한 고객의 기대가 높아짐에 따라 통신 사업자는 네트워크 성능과 고객 만족도를 높이는 고급 운영 관리 플랫폼에 대한 투자를 강요합니다.
서비스 품질을 유지하면서 운영 비용을 줄여야 하는 통신 사업자에 대한 압박 증가는 통합 운영 관리 시스템에 대한 수요를 가속화합니다. 미국을 중심으로 한 신흥 시장은 급속한 디지털 변혁, 모바일 보급률의 상승, 통신 인프라에 대한 투자 증가에 의해 큰 성장 기회를 가져오고 있습니다.
첨단 네트워크 성능 및 서비스 품질 관리에 대한 수요 증가
멀티 벤더 및 멀티 기술 환경 관리의 복잡성
통신 운영 관리에서 인공지능과 머신러닝의 통합
Global Telecom Operations Management Market was valued at USD 13.73 Billion in 2024 and is expected to reach USD 22.66 Billion by 2030 with a CAGR of 8.71% through 2030. The Global Telecom Operations Management Market refers to the segment of the telecommunications industry focused on managing, streamlining, and optimizing the daily operational activities of telecom service providers.
| Market Overview | |
|---|---|
| Forecast Period | 2026-2030 |
| Market Size 2024 | USD 13.73 Billion |
| Market Size 2030 | USD 22.66 Billion |
| CAGR 2025-2030 | 8.71% |
| Fastest Growing Segment | IT & ITES |
| Largest Market | North America |
This includes the management of network operations, customer services, billing, revenue assurance, and business process automation. Telecom operations management helps service providers ensure uninterrupted network performance, manage complex infrastructures, and offer seamless customer experiences. With the continuous evolution of telecom networks and increasing demand for data-driven services, efficient operations management has become critical for sustaining profitability and competitive advantage.
The market is expected to rise significantly due to the rapid expansion of telecom networks driven by technological advancements such as the rollout of 5G, the proliferation of Internet of Things devices, and the increasing reliance on cloud-based services. These developments have increased the complexity of telecom infrastructures, pushing service providers to adopt advanced operations management solutions that offer automation, predictive analytics, and real-time monitoring. Additionally, growing customer expectations for high-quality, uninterrupted services are compelling telecom operators to invest in sophisticated operations management platforms that enhance network performance and customer satisfaction.
The increasing pressure on telecom companies to reduce operational costs while maintaining service quality is driving demand for integrated operations management systems. These solutions help telecom providers streamline workflows, automate routine processes, optimize resource allocation, and ensure regulatory compliance. Emerging markets, particularly in Asia Pacific and Latin America, present significant growth opportunities due to rapid digital transformation, rising mobile penetration, and increased investments in telecom infrastructure. As global connectivity continues to expand and networks become more complex, the demand for robust telecom operations management solutions is set to rise, positioning the market for sustained growth in the coming years.
Key Market Drivers
Growing Demand for Advanced Network Performance and Service Quality Management
The expanding complexity of telecommunication networks worldwide has fueled a critical need for advanced network performance and service quality management solutions. Telecom service providers are under constant pressure to deliver seamless connectivity, uninterrupted service, and high-speed data transfer, especially in the era of fifth-generation wireless technology and the exponential growth of connected devices. Managing network efficiency and minimizing disruptions require robust telecom operations management systems that offer real-time monitoring, predictive analytics, automated fault resolution, and dynamic network optimization. These solutions ensure that telecom operators can proactively manage service delivery, anticipate issues before they affect customers, and maintain superior service quality in increasingly competitive markets.
With the rise of multi-service networks supporting everything from mobile broadband to enterprise-grade solutions, telecom providers require integrated operational platforms to manage diverse infrastructure within a unified control system. The transition toward intelligent network operation centers powered by artificial intelligence and machine learning further amplifies this need. These technologies help detect anomalies, predict outages, and streamline maintenance activities, ultimately improving customer satisfaction and operational efficiency. Emerging markets are also embracing these solutions to support their growing digital infrastructure, reflecting a global shift toward smarter network management. In 2024, global mobile data traffic surpassed 130 exabytes per month, marking a 25% annual increase, fueled by streaming services, IoT devices, and cloud applications. This surge highlights the critical necessity for efficient telecom operations management to ensure consistent network performance and service quality under escalating data demands.
Key Market Challenges
Complexity of Managing Multi-Vendor and Multi-Technology Environments
The global telecommunications landscape is marked by a highly diversified ecosystem of vendors, technologies, and service platforms. Telecom operators often source network components, software systems, and operational tools from multiple vendors, each with distinct standards, protocols, and integration requirements. This results in fragmented operational environments that are difficult to harmonize under a unified telecom operations management framework. Managing interoperability across these diverse systems becomes a significant operational challenge, particularly as new technologies such as fifth-generation wireless technology, cloud computing, and Internet of Things solutions are layered onto existing legacy infrastructures. The lack of standardized integration protocols further complicates efforts to streamline network monitoring, fault management, and performance optimization, making the operational landscape both costly and technically cumbersome.
The continuous evolution of telecommunications technologies demands that operations management systems remain flexible and scalable to accommodate new innovations without disrupting existing services. Integrating emerging technologies-such as software-defined networking, virtualized network functions, and edge computing-into legacy operational environments increases the complexity of network orchestration and control. Telecom operators often face delays in deployment and higher operational costs due to the need for custom integration, extensive testing, and ongoing system maintenance. This challenge is particularly acute for multinational operators managing networks across different regulatory jurisdictions, technological ecosystems, and vendor landscapes. Overcoming this fragmentation requires significant investment in adaptable operations management platforms, yet such investments are often constrained by budgetary pressures and the risk of vendor lock-in, further inhibiting seamless operational management and service delivery.
Key Market Trends
Integration of Artificial Intelligence and Machine Learning in Telecom Operations Management
Artificial intelligence and machine learning are reshaping telecom operations management by enabling intelligent automation, predictive maintenance, and advanced analytics. Telecom operators are increasingly integrating these technologies into their operations management platforms to enhance real-time decision-making, optimize network performance, and reduce human intervention in routine tasks. Artificial intelligence-driven analytics help operators identify patterns in vast datasets, predict potential network failures, and recommend proactive measures to prevent service disruptions. This shift toward intelligent automation significantly improves operational efficiency, accelerates problem resolution, and enhances the overall quality of service delivered to end-users.
Machine learning algorithms are enabling dynamic network optimization by continuously analyzing network traffic, user behavior, and performance metrics. This allows telecom operators to automatically adjust configurations, allocate resources effectively, and fine-tune service delivery in real time. The integration of artificial intelligence and machine learning not only reduces operational costs but also empowers telecom providers to offer personalized services and maintain a competitive edge in the market. As artificial intelligence technologies mature, their role within telecom operations management is expected to become even more critical, driving a fundamental shift in how telecom networks are monitored, maintained, and optimized.
In this report, the Global Telecom Operations Management Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Telecom Operations Management Market.
Global Telecom Operations Management Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report: