Network Automation Market Size & Share 2026-2035

Network Automation Market Size

The global network automation market was estimated at USD 7.3 billion in 2025. The market is expected to grow from USD 8.4 billion in 2026 to USD 29.6 billion in 2035, at a CAGR of 15% according to latest report published by Global Market Insights Inc.

A growing number of enterprises today are adopting network automation solutions that leverage AI, machine learning, and advanced analytics to monitor network performance, security, and operational efficiency in real time. Increasing demand for reliable, scalable, and self-healing networks, along with the rapid adoption of cloud computing and software-defined infrastructure, is expected to drive the growth of the market.

The growth of the network automation market is further supported by regulatory frameworks and compliance requirements that are pushing organizations to modernize their IT infrastructure. For instance, stricter data protection laws and cybersecurity regulations across regions are encouraging enterprises to adopt automated network monitoring and response systems. These regulatory pressures are creating new opportunities for vendors to develop solutions that ensure compliance while improving operational efficiency.

In addition to enhancing network performance and security, AI-based automation platforms are expanding beyond traditional functions. Advanced algorithms can now detect anomalies, predict failures, and automatically remediate issues with high accuracy. By integrating multiple technologies such as intent-based networking, telemetry, and orchestration tools, these systems enable continuous monitoring of network health, user experience, and application performance. As these technologies evolve, full-scale autonomous network ecosystems are expected to emerge, ensuring optimal performance, reduced downtime, and improved user satisfaction.

Network Automation Market Trends

The industry’s increasing focus on improving network reliability, minimizing downtime, and enhancing cybersecurity resilience has led to a rapid acceleration in the development and deployment of network automation solutions across enterprise, cloud, and telecom environments. As organizations strive to manage growing network complexity, automation has become essential in preventing outages, reducing human error, and ensuring consistent performance.

AI-driven analytics, real-time telemetry, and multi-layer automation platforms now enable continuous monitoring of network traffic, device health, and user behavior. These technologies are being integrated into intelligent network architectures, allowing for proactive issue detection, automated remediation, dynamic resource allocation, and personalized service delivery. As a result, enterprises can achieve higher operational efficiency while maintaining optimal network performance.

As network infrastructure converges with cloud computing, edge environments, and IoT ecosystems, an expanding automation landscape is emerging that supports end-to-end visibility and centralized control. This evolution enables continuous monitoring, predictive analytics, and cloud-based orchestration across distributed networks. With the rise of autonomous and self-healing networks, automation is becoming critical to ensuring service continuity, particularly during traffic surges, cyber incidents, or infrastructure failures.

Regulatory requirements around data protection, network security, and service reliability are further shaping the adoption of automation solutions. A practical example is AT&T, which uses network automation and software-defined networking (SDN) to manage large-scale infrastructure while ensuring service reliability and regulatory compliance. These implementations are driving organizations to adopt advanced monitoring, reporting, and compliance-driven automation strategies ultimately contributing to significant market growth.

Network Automation Market Analysis

Based on component, the network automation market is segmented into software and services. The software segment dominates the market with 68.4% share in 2025, and the segment is expected to grow at a CAGR of 14.8% from 2026 to 2035.

• Network automation software platforms are the backbone of modern IT environments, enabling centralized control, configuration, and orchestration of network infrastructure. Solutions from companies like Cisco Systems, Juniper Networks, and VMware provide intent-based networking, allowing administrators to define desired outcomes while the system automatically configures the network.
• AI-driven automation tools are becoming a core part of the software segment. These platforms use machine learning to detect anomalies, predict failures, and optimize traffic flows. Vendors such as IBM and Hewlett Packard Enterprise integrate AIOps capabilities to enhance network reliability and reduce downtime.
• Cloud-based network automation solutions are gaining traction as enterprises migrate to hybrid and multi-cloud environments. Platforms offered by Amazon Web Services and Microsoft Azure enable scalable automation, real-time monitoring, and policy enforcement across distributed networks.
• Open-source frameworks and APIs are also driving adoption, allowing organizations to customize automation workflows and integrate with DevOps pipelines. Tools like Ansible and Terraform are widely used for programmable network management.
• The services segment is expected to witness significant growth, driven by increasing demand for deployment, consulting, and managed services as enterprises transition from manual to automated network operations.
• Professional services help organizations design automation strategies, integrate legacy systems, and ensure compliance with security standards. System integrators and consulting firms play a key role in accelerating adoption.

Based on network type, the network automation market is divided into LAN, WAN, cloud networks, and data center networks.The cloud network segment dominates with 27.7% market share in 2025 and grew at a CAGR of 16.1% from 2026 to 2035.

• Data center networks are at the core of network automation adoption, as hyperscalers and large enterprises increasingly rely on automation to manage high traffic volumes, virtualization, and workload balancing. These environments require advanced intent-based networking, zero-touch provisioning, and AI-driven traffic optimization to ensure high availability and operational efficiency. As data consumption continues to rise globally, automation in data center networks is becoming essential for scalability and cost optimization.
• Cloud networks are witnessing accelerated adoption as organizations transition toward hybrid and multi-cloud environments. Enterprises are increasingly implementing automation to manage workload distribution, security policies, and configuration consistency across distributed cloud platforms. The growing use of containerized applications, Kubernetes ecosystems, and API-driven infrastructure is further enhancing the need for automated network orchestration in cloud environments.
• LAN networks continue to play a critical role in enterprise campus and office connectivity, where automation is primarily focused on device provisioning, access management, and local traffic optimization. Meanwhile, WAN networks are evolving through SD-WAN adoption, enabling centralized control, dynamic routing, and application-aware traffic management across geographically dispersed locations. These segments are gradually modernizing to support hybrid work models and distributed enterprise operations.
• Across all network types, AI-driven network orchestration and intent-based automation are emerging as key enablers of transformation. These technologies allow enterprises to define desired network outcomes rather than manually configuring infrastructure, reducing human error and improving efficiency. Vendors are increasingly integrating machine learning capabilities into network controllers to enable predictive analytics, automated fault resolution, and real-time performance optimization.

Based on network infrastructure, the network automation market is segmented into physical, virtual, and hybrid. The hybrid segment dominates with 40.9% market share in 2025.

• Physical infrastructure remains a foundational component of network automation, primarily deployed in traditional enterprise environments, data centers, and legacy IT systems. Automation in physical networks is focused on hardware provisioning, configuration management, and monitoring of physical devices such as routers, switches, and firewalls. While its growth is slower compared to virtual and hybrid models, it continues to play a critical role in industries with strict compliance, security, and latency requirements.
• Virtual infrastructure is witnessing strong growth as organizations increasingly shift toward software-defined networking (SDN) and network function virtualization (NFV). These environments enable automated provisioning, dynamic scaling, and centralized control of network resources without dependence on physical hardware. Virtual infrastructure supports faster deployment cycles, improved agility, and cost efficiency, making it highly attractive for cloud-native enterprises and digital-first organizations.
• Hybrid infrastructure is the dominant segment as enterprises increasingly adopt a combination of on-premises physical systems and virtual cloud-based environments. Network automation in hybrid setups focuses on seamless orchestration across heterogeneous environments, ensuring consistent policies, security enforcement, and workload mobility. The complexity of managing distributed networks is driving strong demand for AI-driven automation tools capable of providing end-to-end visibility and unified control across physical and virtual layers.
• Across all infrastructure types, AI-enabled orchestration and intent-based automation are becoming key enablers of network transformation. These systems allow enterprises to abstract infrastructure complexity and manage networks through policy-driven frameworks, improving operational efficiency, reducing configuration errors, and enabling real-time optimization across hybrid environments.

Based on deployment model, the network automation market is segmented into on-premises and cloud. Cloud dominates with 52.1% market share in 2025.

• On-premise deployment continues to lead the market as organizations prioritize data security, regulatory compliance, and full control over network infrastructure. This model is particularly prevalent in banking, government, and telecom sectors where sensitive data handling and strict governance requirements are critical. On-premise network automation solutions are widely used for configuration management, policy enforcement, and integration with legacy IT systems, ensuring operational stability and reduced exposure to external risks.
• Cloud is gaining rapid traction as enterprises shift toward agile, scalable, and cost-efficient network management models. Cloud-based network automation platforms enable centralized orchestration, real-time monitoring, and AI-driven optimization across distributed environments. The growing adoption of hybrid work models, multi-cloud strategies, and edge computing is further accelerating demand for cloud-native automation tools that reduce operational complexity and improve deployment speed.
• The integration of cloud and on-premises environments is increasingly shaping enterprise network strategies, as organizations seek to balance control with flexibility. This convergence is driving demand for hybrid automation platforms capable of managing workloads seamlessly across both deployment models. Vendors are increasingly offering unified dashboards and API-driven architectures to enable consistent policy enforcement and end-to-end network visibility.

China dominates the Asia Pacific network automation market accounting for 38.3% and generating USD 556.8 million in 2025.

• China’s network infrastructure continues to evolve rapidly, supported by widespread adoption of cloud-native architectures, SD-WAN, and software-defined networking across enterprises and telecom operators. Leading Chinese technology companies such as Huawei and ZTE are heavily investing in AI-driven network automation platforms that enable self-optimizing, self-healing, and intent-based network management across large-scale environments, particularly in 5G and data center ecosystems.
• Government-led initiatives such as “Digital China” and the broader “New Infrastructure” strategy are accelerating the deployment of intelligent networking systems across industries. These initiatives are promoting large-scale investment in 5G networks, edge computing, and AI-integrated telecom infrastructure, which is directly supporting the growth of automated network orchestration and real-time network analytics capabilities across enterprise and public sector networks.
• China’s strong domestic ecosystem of AI, semiconductor, and cloud service providers is enabling rapid innovation in network automation technologies. Companies are increasingly integrating AI, machine learning, and IoT-driven telemetry into network management systems to enable predictive maintenance, traffic optimization, and autonomous network decision-making. This is significantly reducing dependency on manual configuration and improving operational efficiency across large-scale networks.
• The country’s telecom operators, including China Mobile, China Telecom, and China Unicom, are actively deploying automated network management systems to support 5G rollout and massive device connectivity requirements. These operators are leveraging AI-powered orchestration platforms and edge intelligence solutions to manage network complexity, reduce latency, and improve service reliability across urban and industrial digital ecosystems.
• In 2024, Huawei advanced its Autonomous Driving Network (ADN) strategy through platforms such as iMaster NCE, enabling real-time analytics, predictive fault detection, and self-healing network operations widely adopted in smart city infrastructure and industrial IoT deployments. Similarly, Cisco Systems expanded its DNA Center and Meraki platforms, which provide intent-based networking and automated policy enforcement across enterprise campuses and hybrid cloud environments, including large-scale deployments in banking and retail sectors.

US dominates North America network automation market, growing with a CAGR of 14.8% from 2026 to 2035.

• The United States market is expanding rapidly with increasing adoption of AI-driven network management systems that optimize traffic flow, enhance cybersecurity, and enable predictive maintenance across enterprise and telecom networks. Major technology firms such as Cisco, Juniper Networks, and Arista Networks are leading innovation in intent-based networking, software-defined networking (SDN), and automated network orchestration for large-scale cloud and hybrid environments.
• In collaboration with federal agencies such as the Federal Communications Commission (FCC) and National Institute of Standards and Technology (NIST), US enterprises are developing advanced network automation frameworks to improve resilience, cybersecurity, and scalability of critical digital infrastructure. These initiatives are supporting the modernization of telecom networks, enterprise IT systems, and public sector communication infrastructure.
• US-based technology and cloud companies are heavily investing in AI, machine learning, and analytics-driven network automation solutions that enable real-time monitoring, autonomous troubleshooting, and self-healing network capabilities. These systems are increasingly integrated with cloud platforms and edge computing environments to support high-performance applications such as 5G, IoT, and enterprise SaaS ecosystems.
• Federal initiatives such as the Infrastructure Investment and Jobs Act (IIJA) and broader digital transformation policies are indirectly accelerating demand for advanced network automation solutions by expanding broadband connectivity, strengthening 5G deployment, and modernizing national digital infrastructure. This is encouraging collaboration between telecom operators, cloud providers, and automation vendors.
• The US continues to lead in next-generation network automation innovation, particularly in AI-powered observability, intent-based networking, and autonomous network operations centers (ANOCs). Companies such as Cisco, AWS, and Microsoft are integrating network automation deeply into cloud ecosystems to improve efficiency, reduce operational costs, and enhance system reliability at scale.
• For example, in 2024, Cisco expanded its AI-driven networking portfolio through enhanced intent-based automation and predictive analytics capabilities, enabling enterprises to manage hybrid and multi-cloud networks more efficiently, reinforcing the United States’ position as a global hub for network automation innovation.

Germany dominates the Europe network automation market, showcasing strong growth potential, with a CAGR of 14.4% from 2026 to 2035.

• The German market is expanding steadily, supported by increasing adoption of AI-driven network management, SD-WAN, and software-defined infrastructure across enterprises and telecom operators. Leading technology providers such as Deutsche Telekom and Siemens are actively investing in automated network orchestration solutions to enhance connectivity, reduce latency, and improve operational efficiency across large-scale enterprise and industrial networks.
• Germany’s strong industrial and manufacturing base is accelerating demand for intelligent and automated networking systems, particularly within Industry 4.0 environments. The integration of IoT, edge computing, and cloud platforms in manufacturing ecosystems is driving the need for real-time network automation solutions capable of supporting high-density machine-to-machine communication and predictive maintenance applications.
• Leading German technology and engineering firms, including SAP, Siemens, and Bosch, are actively developing advanced network automation frameworks that integrate AI, machine learning, and analytics to enable predictive network optimization, fault detection, and autonomous configuration management across enterprise IT and industrial systems.
• European Union digital transformation policies and Germany’s national broadband and 5G expansion programs are significantly supporting the deployment of next-generation automated network infrastructure. Regulatory emphasis on cybersecurity, data protection, and network resilience is further encouraging enterprises to adopt automated and policy-driven network management systems.
• Germany is also emerging as a key adopter of cloud-native and hybrid network automation platforms, with enterprises increasingly transitioning toward centralized orchestration models that unify on-premise and cloud network environments. This shift is enabling greater agility, scalability, and cost efficiency in enterprise IT operations.
• For example, in 2024, Deutsche Telekom expanded its AI-driven network automation initiatives by integrating intent-based networking and real-time analytics into its 5G and enterprise service platforms, strengthening Germany’s position as a leading European hub for advanced network automation deployment.

Brazil leads the Latin American network automation market, exhibiting remarkable growth of 14.2% during the forecast period of 2026 to 2035.

• Due to increasing demand for digital connectivity, cloud services, and enterprise modernization, Brazil’s network infrastructure market is expanding rapidly. Enterprises and telecom operators are increasingly adopting AI-driven network automation, SD-WAN, and cloud networking solutions to improve network reliability, reduce operational costs, and enhance service delivery across distributed environments.
• Government-led digital initiatives and national broadband expansion programs are supporting the development of smarter and more connected infrastructure across Brazil. These initiatives are encouraging telecom operators and enterprises to adopt automated network management systems to improve coverage, optimize bandwidth utilization, and support growing demand for high-speed internet services.
• Major telecom operators and technology providers in Brazil are collaborating with global vendors to deploy advanced network automation solutions, including real-time monitoring systems, predictive network analytics, and automated fault resolution tools. These partnerships are helping improve network resilience and support large-scale connectivity requirements across urban and rural regions.
• The growing adoption of cloud computing, fintech platforms, and IoT-based applications in Brazil is further accelerating demand for network automation solutions. Enterprises are increasingly investing in hybrid and cloud-native network architectures to support scalable, secure, and automated network operations tailored to the evolving digital economy.

UAE witnessed substantial growth in the Middle East and Africa network automation market in 2025.

• Due to increasing demand for high-speed connectivity, 5G expansion, and advanced digital services, the UAE’s network infrastructure is evolving rapidly. Telecom operators and enterprises are adopting AI-driven network automation, SD-WAN, and cloud-native networking solutions to enhance performance, improve network reliability, and support growing data traffic across smart cities and digital platforms.
• The UAE government’s smart city initiatives, particularly in Dubai and Abu Dhabi, are strongly supporting the deployment of next-generation network automation systems. Programs focused on digital governance, IoT integration, and AI adoption are enabling telecom providers and enterprises to implement real-time network orchestration and predictive analytics for improved service delivery and operational efficiency.
• Leading telecom operators and technology providers in the UAE are actively investing in AI-enabled network automation platforms to support large-scale 5G rollouts, enterprise cloud migration, and edge computing deployments. These systems are being used for automated fault detection, traffic optimization, and autonomous network management across highly connected urban environments.
• The growing adoption of cloud computing, fintech ecosystems, and smart infrastructure in the UAE is further driving demand for hybrid and cloud-based network automation solutions. Enterprises are increasingly leveraging centralized network orchestration platforms to manage complex, distributed IT environments with improved scalability, security, and efficiency.

Network Automation Market Share

• The top 7 companies in the market are Cisco Systems, IBM, Juniper Networks, Hewlett Packard Enterprise (HPE), Huawei Technologies Co. Ltd, VMware Inc., and Arista Networks Inc., collectively accounting for a share of 65% of the global market in 2025, driven by their strong portfolios in software-defined networking, AI-driven orchestration, and cloud-native network automation platforms.
• Cisco Systems is a dominant player in the market, leveraging its strong enterprise networking portfolio to deliver intent-based networking, AI-driven analytics, and automated network orchestration solutions. The company integrates automation across its switching, routing, and cloud networking platforms to enable self-healing, scalable, and policy-driven network management for enterprises and service providers.
• IBM plays a key role in network automation through its AI and hybrid cloud capabilities, offering intelligent network management solutions powered by analytics and automation platforms. IBM focuses on integrating network automation with enterprise IT operations, enabling predictive maintenance, workload optimization, and end-to-end visibility across hybrid infrastructure environments.
• Juniper Networks is a major innovator in AI-driven networking, with its Mist AI platform enabling advanced network automation, self-driving network operations, and real-time performance optimization. The company emphasizes intent-based networking and cloud-managed solutions to simplify network operations and improve user experience across enterprise and service provider networks.
• Hewlett Packard Enterprise (HPE) provides network automation solutions through its Aruba Networking division, focusing on AI-powered campus, branch, and edge network automation. HPE enables enterprises to deploy secure, scalable, and automated network infrastructures with centralized management and cloud-based orchestration capabilities.
• Huawei Technologies is a leading global provider of telecom and enterprise network automation solutions, offering AI-enabled network management platforms, 5G automation systems, and cloud-network integration technologies. The company is particularly strong in large-scale telecom deployments and carrier-grade automated network operations.
• VMware Inc. contributes to the market through its software-defined networking and cloud infrastructure platforms, enabling automated network provisioning, virtualization, and orchestration across multi-cloud environments. VMware focuses on integrating network automation with cloud workloads and enterprise virtualization ecosystems.
• Arista Networks Inc. specializes in high-performance cloud networking and data center automation solutions, offering advanced network telemetry, AI-driven operations, and programmable network architectures. The company is widely adopted in hyperscale data center environments where automation, scalability, and ultra-low latency are critical.

Network Automation Market Companies

Major players operating in the network automation industry are:

• Cisco system
• IBM
• Juniper networks
• Hewlett Packard Enterprise (HPE)
• Huawei Technologies 
• VMware 
• Arista Networks 
• Fortinet 
• Nokia 

• Cisco Systems, Juniper Networks, and Arista Networks Inc. lead the network automation market by delivering intent-based networking, AI-driven operations (AIOps), and software-defined networking (SDN) platforms that enable enterprises and data centers to automate configuration, optimize traffic flows, and perform real-time fault detection and self-healing across complex hybrid and multi-cloud environments.
• IBM, Hewlett Packard Enterprise (HPE), and VMware Inc. (Broadcom Software) focus on hybrid cloud and enterprise-grade automation, offering AI-powered IT operations, cloud orchestration, and infrastructure automation platforms that enable policy-driven network management, workload optimization, and end-to-end visibility across on-premises, cloud, and edge deployments.
• Huawei Technologies, Fortinet, and Nokia advance telecom and security-centric network automation by integrating autonomous network architectures, 5G transport automation, and AI-based security orchestration systems, enabling service providers and large enterprises to achieve self-optimizing network performance, automated threat response, and large-scale infrastructure automation in smart cities, industrial IoT, and next-generation telecom networks.

Network Automation Industry News

• In December 2025, Hewlett Packard Enterprise (HPE) announced expanded AI-native networking capabilities across its Aruba Networking portfolio, introducing enhanced AI-driven analytics, automated network operations, and self-driving network features designed to improve enterprise campus, branch, and hybrid infrastructure management efficiency.
• In January 2026, HPE highlighted advancements in AI-driven networking for service provider and enterprise environments, showcasing improved routing automation, intelligent optimization, and deeper integration of AI-powered observability to support large-scale network modernization initiatives.
• In January 2026, Juniper Networks advanced its Mist AI platform with enhanced AIOps-driven troubleshooting and predictive analytics capabilities, emphasizing autonomous network operations, real-time service assurance, and reduced manual intervention across campus, branch, and data center networks.
• In March 2026, Hewlett Packard Enterprise (HPE) and Juniper Networks jointly emphasized progress in integrating AI-native networking and unified operations capabilities, focusing on agentic AI, shared telemetry models, and centralized observability to enable more automated and self-healing enterprise network environments.

The network automation market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue (USD Mn) from 2022 to 2035, for the following segments:

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Market, By Component

• Software

  • Intent-based networking

  • Network automation & orchestration
  • Configuration & provisioning automation tools
• Services
  • Professional services
  • Managed services

Market, By Network Type

• LAN 
• WAN
• Data center networks
• Cloud networks

Market, By Network Infrastructure

• Hybrid
• physical
• Virtual

Market, By Deployment mode

• On-premise 
• Cloud-based 

Market, By Application

• IT & Telecom
• BFSI (Banking, Financial Services & Insurance)
• Healthcare & Life Sciences
• Manufacturing & Industrial
• Energy & Utilities
• Retail & E-commerce
• Others

The above information is provided for the following regions and countries:

• North America
  • US
  • Canada
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Norway
  • Netherlands
  • Sweden
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Singapore
  • Thailand
  • Indonesia
  • Vietnam
• Latin America
  • Brazil
  • Mexico
  • Argentina
• MEA
  • South Africa
  • Saudi Arabia
  • UAE