PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 2104589
PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 2104589
Network Automation Market size was valued at US$ 7,680.9 Million in 2025, expanding at a CAGR of 9.2% from 2026 to 2033.
Network automation refers to the use of software, programmable tools, AI and machine learning in order to automate the processes of configuration, deployment, management, optimization and monitoring of the networks with minimal human interactions. The technology helps companies achieve efficient operations, reduce downtime, increase security and quality of service delivery within the physical, virtual and hybrid network environments.
As a result of the increasing popularity of cloud computing, software defined networking (SDN), network functions virtualization (NFV) and 5G networking systems, there has been a tremendous demand for automated network management systems. To counter the growing complexities of the networks, firms and telecommunication providers are adopting intent-based networking and AI-enabled analytics and orchestration systems. Besides this, growth of data centers, Internet of Things (IoT), edge computing, and multi-cloud will drive the global market for Network Automation.
Network Automation Market- Market Dynamics
Rapid Expansion of AI-Driven Networks and 5G Infrastructure Accelerating Network Automation Adoption
Network Automation solutions are in high demand in the world as enterprise and telecom networks are becoming increasingly complex. Managing a hybrid cloud, software-defined network (SDN), edge computing infrastructure, and millions of connected Internet of Things (IoT) devices is becoming more difficult with manual network operations. By streamlining network configuration, provisioning, fault detection, security policy enforcement, and performance optimization, organizations can reap significant benefits in terms of operational efficiency, minimized downtime, and lower operational costs through network automation platforms. The market is expected to further grow rapidly with the deployment of 5G networks, growing demand for artificial intelligence (AI) and the introduction of intent-based networking. Governments are also investing in next generation digital infrastructure with investments in advanced communications technologies and digital transformation projects.
For example, NIST's Communications Technology Laboratory (CTL) is spearheading the development of new wireless technologies, thereby establishing a foundation for intelligent, resilient and integrated 6G networks, National Institute of Standards and Technology (NIST) reports. Wireless communications are moving beyond 5G and NIST CTL is taking advantage of new technologies and challenges emerging in this space, and is also investigating new technologies including AI-enabled networking, network automation, resilience, interoperability and communication performance that will be important for future communications networks. These are fostering the use of intelligent network automation platforms that can manage increasingly dynamic and distributed network environments by both public and private organizations. In addition, a wide variety of advanced network automation solutions are predicted to keep driving demand for the forecast period, as AI, machine learning (ML), cloud-native architectures and autonomous networking technologies are increasingly integrated.
The Global Network Automation Market is segmented on the basis of Component, Application, Network Type, Deployment Type, End User, and Region.
The Solution segment held the highest market share, as the need for intelligent platforms for automating network configuration, provisioning, orchestration, monitoring, and security management across enterprise and telecom infrastructure is rising. AI-driven network automation solutions are gaining traction in organizations to streamline complex hybrid and multi-cloud environments, cut down on operational expenses, boost network visibility, and boost the reliability of services. Another recent trend has been the swift adoption of new technologies such as Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and intent-based networking, driving the need for an all-in-one automation platform for networks. In February 2026, Cisco announced new AgenticOps innovations to its portfolio that extend the company's AI-powered networking, security and observability capabilities. The agent-first IT operating model supported self-service and self-help, provides real-time oversight, and allows organizations to handle their distributed and dynamic IT environments more efficiently while achieving better operational efficiency, reliability, governance and intelligent execution at scale. This is driving enterprise and telecom environments to adopt intelligent network automation solutions.
Application, Network Provisioning & Orchestration led with the highest market share of Network Automation Market due to the growing demands for automated deployment, provisioning, and lifecycle management of network services in cloud, edge, and 5G environments. Automated orchestration allows organizations to quickly get services up and running, avoid configuration issues, achieve greater network agility, and efficiently manage complex network infrastructures for large-scale digital transformation efforts. For example, Juniper Networks' collaboration with ServiceNow furthered in May 2025 when the two companies joined forces to integrate Juniper Networks' Mist(TM) AI-native networking platform to ServiceNow's Telecom Service Management, Inventory, and Sales & Order Management for Telecom service. The solution's end-to-end network and service automation was achieved via an AI-native, cloud-native, and API-based approach to wired, wireless, and SD-WAN for enterprises and managed service providers (MSPs). Throughout the forecast period, the increasing implementation of artificial intelligence, cloud-native architectures, API-centric platforms, and intelligent automation will drive even more network provisioning and orchestration solutions demand.
Network Automation Market- Geographical Insights
North America is the most dominant region of the Network Automation market due to the presence of several cloud-based service providers in the region, early adoption of Software-Defined Networking (SDN), advanced telecommunications infrastructure and rising investments in AI network management solutions. In the region, network automation platforms are gaining traction among enterprises and telecom operators to automate configuration tasks, help them gain more visibility into their network, enhance security and optimize their complex hybrid and multi-cloud network environments. For example, according to the Wireless Infrastructure Association (WIA), AI traffic has grown to nearly $3 billion in annual cost of wireless network operational and capital investments in the United States by the end of 2025, representing 4.2% of total wireless network traffic. Such progress underscores the need for intelligent, programmable and automated network infrastructure in North America and will drive innovation and adoption of next-generation network automation technologies in the telecom and enterprise markets.
Europe represents a significant market for the Network Automation Market due to the increasing adoption of cloud-native networks, 5G infrastructure, network virtualization, and digital transformation initiatives among telecom operators and enterprises. In fact, automation technologies are being deployed in the region to enhance network efficiency, accelerate service provision, simplify operations and handle more dynamic communication networks. The European Commission's Digital Decade 2026 - 5G Observatory Report, for example, recorded 96.8% basic 5G population coverage and 87.9% rural 5G coverage of households in Europe. 5G is rapidly growing, making it tougher to keep networks simple and manageable, and automated provisioning, orchestration, monitoring and management solutions are being demanded. In addition, efforts promoting open, interoperable and secure digital infrastructure boost network automation solutions in the European telecom sector.
The Network Automation Market is highly competitive, and the key technology vendors have been actively pursuing artificial intelligence (AI), machine learning (ML), software-defined networking (SDN), network orchestration and cloud-native automation solutions to help simplify and optimize complex network environments. Major players are Cisco Systems, Inc., Juniper Networks, Hewlett Packard Enterprise (HPE), Nokia Corporation, Ericsson AB, IBM Corporation, Broadcom Inc. (VMware), Red Hat, ServiceNow, Extreme Networks, Inc., Arista Networks, Inc., NetBrain Technologies, Itential, Gluware, SolarWinds Corporation, and Ciena Corporation. Businesses are always investing in cutting-edge automation platforms, strategic partnerships, acquisitions and product innovations to improve their network configuration management, monitoring, security automation and operational efficiency. As 5G, Edge, cloud, and hybrid networks continue to proliferate, vendors are pushing for network automation solutions that are intelligent, scalable, and self-optimizing.
In July 2026, Huawei and industry partners introduced OpenAN, an initiative designed to facilitate the widespread adoption of Level 4 Autonomous Networks. The 8 founding members met to discuss the governance system, operation model, contribution and version control of the open-source community, annual objectives as well as implementation roadmaps for the project.
In July 2026, Mavenir introduced its multi-agent system for automated network operations across multiple domains that is fully aligned with the TM Forum's Agentic Service Assurance Framework (IG1251/IG1453). The framework was designed to be more efficient by integrating an Intent Orchestrator, which defines a network's purposes, with an AI-based agentic ecosystem that identified, diagnosed, recommended, and resolved network faults more rapidly, thereby boosting operators' productivity and advancing autonomous network operations.