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Telecom Network Automation Market Size Forecast: How Big Could The Market Get By 2030?
The telecom network automation market has experienced substantial expansion in recent years. This market is projected to expand from $9.53 billion in 2025 to $11.74 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 23.3%. The historical increase can be attributed to several factors, including the escalating complexity of multi-vendor telecom networks, the necessity to reduce network operational expenditure (opex), the broadening of 4g and 5G deployments, a heightened demand for swifter service rollout, and the emergence of network virtualization and SDNs.
The telecom network automation market size is expected to show significant expansion over the next few years. It is projected to reach $26.86 billion in 2030, with a compound annual growth rate (CAGR) of 23.0%. This anticipated growth is influenced by the adoption of autonomous networks for advanced 5G services, the integration of AIOps for comprehensive observability, the automation of network slicing lifecycles, increased utilization of cloud-based automation platforms, and energy optimization achieved through automated network tuning. Key trends during this period are AI-driven closed-loop network operations automation, cloud-native network orchestration and service assurance, intent-based networking for automated provisioning, automated fault management incorporating predictive analytics, and policy-based security automation across telecom networks.
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Telecom Network Automation Market Demand Drivers Opening New Revenue Streams
The expanding acceptance of 5G networks is anticipated to stimulate the growth of the telecom network automation market. As the most recent generation of mobile connectivity, 5G networks provide high-speed data, ultra-low latency, and enhanced capacity, crucial for supporting advanced technologies such as immersive gaming and the internet of things. The increasing embrace of 5G networks is driven by the rising demand for high-speed, low-latency connectivity essential for real-time digital applications. Telecom network automation aids 5G adoption by streamlining network management and enabling intelligent orchestration, simplifying the deployment and scaling of 5G services for operators. This automation reduces manual intervention through real-time monitoring and automated optimization, thereby improving network efficiency and service reliability. For illustration, in December 2023, data from the Office of Communications (Ofcom), a UK-based regulator and competition authority, indicated that outdoor 5G coverage from at least one mobile network operator reached 85-93% in 2023, a significant rise from 67-78% in 2022. Therefore, the greater adoption of 5G networks is a key factor driving the expansion of the telecom network automation market.
Telecom Network Automation Market Breakdown By Product Type And Application
The telecom network automation market covered in this report is segmented –
1) By Component: Solutions, Services
2) By Network Type: Wireless, Wired
3) By Deployment Mode: On-Premises, Cloud
4) By Application: Network Provisioning, Network Optimization, Network Security, Fault Management, Compliance Management, Other Applications
5) By End-User: Telecom Service Providers, Enterprises
Subsegments:
1) By Solutions: Network Management, Network Orchestration, Network Optimization, Fault Management, Performance Management, Security Management
2) By Services: Consulting, Implementation, Integration, Support And Maintenance, Training And Education, Managed Services
Telecom Network Automation Market Trends Powering Strategic Industry Growth
Major companies in the telecom network automation market are concentrating on innovations in autonomous network operations, such as telco-trained AI models, to enhance network efficiency, service reliability, and real-time decision-making capabilities. Telco-trained AI models are defined as artificial intelligence systems specifically educated with telecommunications network data to comprehend, predict, and optimize network behavior. They achieve this by automating operations, boosting performance, and enabling self-healing and self-optimizing features within telecom infrastructures. For instance, in June 2025, Nokia Oyj, a Finland-based telecommunications firm, launched its Autonomous Network Fabric. This self-managing solution automates network operations end-to-end, drastically reducing the potential for human error and service disruptions. It incorporates autonomous configuration and assurance, facilitating effortless adaptation to changing network conditions and service demands without the need for operator involvement.
Telecom Network Automation Market Company Landscape And Competitive Strategy
Major companies operating in the telecom network automation market are Huawei Technologies Co. Ltd., International Business Machines Corporation, Cisco Systems Inc., Hewlett Packard Enterprise Company, NEC Corporation, Nokia Oyj, Telefonaktiebolaget LM Ericsson, Vmware Inc., Juniper Networks Inc., Amdocs Limited, Ciena Corporation, F5 Inc., Netcracker Technology Corp., Mavenir Systems Inc., RadiSys Corporation, Ribbon Communications Inc., AppViewX, Auvik Networks Inc., Itential LLC, Gluware Inc., Forward Networks Inc., NetBox Labs Inc.
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Telecom Network Automation Market Top Region: Where Does Most Revenue Come From?
North America was the largest region in the telecom network automation market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the telecom network automation market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
