Network Automation Market: Market Size & Forecast 2026

Network automation refers to the systematic application of software-driven tools and orchestration frameworks to replace manual, command-line network administration with programmable, policy-based control across physical, virtual, and hybrid infrastructure layers. The market spans network automation solutions, including configuration management, provisioning, and real-time analytics platforms, as well as professional and managed services for deployment, integration, and ongoing operations. Growing adoption across telecom carriers, large enterprises, and cloud service providers is driven by the need to reduce human error, accelerate service delivery, and maintain visibility over increasingly complex distributed network topologies.

• •Estimated market value of approximately $7.88 billion in 2025, rising to roughly $8.6 billion in 2026 and projected to reach $12.38 billion by 2030
• •Segmented by network infrastructure type (physical, virtual, hybrid), component (solutions and services), and deployment mode (cloud-based and on-premise)
• •Serves sectors including telecommunications, IT and cloud services, financial services, healthcare, and manufacturing

The most significant structural driver is the industry-wide shift toward cloud-native and hybrid network environments, which demand dynamic, software-defined orchestration capabilities that manual provisioning cannot scale to deliver. The proliferation of connected devices, edge computing nodes, and 5G radio access networks has exponentially increased network management complexity, making automation essential for operational feasibility. Additionally, growing cybersecurity requirements and compliance mandates are pushing organizations toward automated policy enforcement and real-time network visibility to detect and respond to threats at machine speed.

• •Hybrid and multi-cloud adoption requiring consistent, automated network policies across on-premise and cloud environments
• •Escalating network complexity from IoT, edge computing, and 5G rollouts outpacing human-administered network management capacity
• •AI and machine learning integration enabling predictive analytics, self-healing networks, and intent-based automation

By component, the solutions segment, encompassing network automation platforms, orchestration software, and intent-based networking tools, commands the larger share, while services including consulting, integration, and managed network operations represent a steadily growing portion driven by enterprise skill gaps. Deployment mode segmentation shows cloud-based solutions gaining significant traction due to their scalability and alignment with modern DevOps and NetOps workflows, though on-premise deployments retain relevance in regulated industries and large legacy environments. Geographically, North America leads the market owing to early cloud adoption and a concentration of large enterprises with mature network infrastructure modernization programs, while the Asia-Pacific region is expected to exhibit the fastest growth rate fueled by massive telecom infrastructure investments, digital transformation initiatives, and expanding 5G networks across India, China, and Southeast Asian markets.

• •Solutions (software platforms, orchestration tools) dominate the component split, with services growing steadily as organizations seek expertise for complex deployments
• •Cloud deployment mode is the fastest-growing segment, supported by DevOps integration and elastic scaling requirements of modern application environments
• •North America holds the largest regional share, with Asia-Pacific emerging as the highest-growth region driven by 5G and digital transformation spending

Who are the notable companies in the industry?

The competitive landscape of the global network automation market is shaped by a mix of integrated infrastructure giants and specialized automation providers. Cisco Systems Inc. leads as a provider of intent-based networking solutions and AI-driven orchestration platforms tied to its broad portfolio of network hardware and software. Juniper Networks Inc. competes with AI-infused automation tools embedded in its Contrail and MX Series platforms, emphasizing automation for multi-cloud and 5G environments. IBM Corporation positions itself through automation-enabled hybrid cloud and AIOps capabilities, integrating network management within its broader enterprise IT operations suite. Hewlett Packard Enterprise Company offers automation solutions via its Aruba networking division and hybrid infrastructure management tools. Huawei Technologies Co. Ltd. delivers end-to-end automation for telecom and enterprise networks, particularly in Asia-Pacific, with deep integration across its 5G and cloud infrastructure. Arista Networks Inc. specializes in cloud-native automation for data centers, leveraging its EOS platform and API-first architecture for high-scale, programmable networks. VMware Inc. provides network automation through its NSX and Tanzu platforms, focusing on virtual and hybrid infrastructure orchestration. SolarWinds Corporation offers network performance and configuration automation tools tailored for IT operations teams, emphasizing visibility and remediation across complex environments. Together, these players drive innovation in intent-based orchestration, zero-touch provisioning, and AI-powered closed-loop automation, responding to rising demands for compliance, scalability, and operational efficiency.

• •Market exhibits partial consolidation with diversified technology firms alongside a fragmented layer of specialty automation vendors, creating a blended competitive dynamic
• •Integrated producers offer end-to-end infrastructure management portfolios, while specialty competitors differentiate through deep network-domain expertise and point-solution agility
• •Core technology routes span API-driven orchestration, software-defined networking, intent-based networking, and AI-augmented closed-loop automation platforms

What are the recent trends and outlook?

The convergence of network automation with generative AI and large language models is emerging as a defining trend, enabling natural-language-driven network intent specification, automated troubleshooting, and conversational interfaces for network operations teams that reduce reliance on specialized scripting knowledge. Zero-trust architecture adoption is also reshaping automation requirements, as organizations seek to embed continuous identity verification and micro-segmentation policies directly into automated network provisioning workflows. Looking ahead through 2030, the market is expected to maintain its 9.5% compound annual growth trajectory as 5G standalone networks, growing enterprise edge deployments, and the ongoing transition away from legacy hardware-centric network models collectively sustain strong, structurally embedded demand for network automation capabilities.

• •Generative AI integration enabling natural-language network operations, automated root-cause analysis, and intent-driven configuration management
• •Zero-trust security architectures driving demand for automated micro-segmentation and continuous policy enforcement across distributed networks
• •Long-term growth supported by 5G standalone deployments, enterprise edge computing expansion, and the broader industry shift toward software-defined, cloud-native networking