Network Automation Market Size, Scope, Forecast Report 2026 to 2035

What is Network Automation Market Size?

Network Automation Market Size is valued at USD 7.25 Bn in 2025 and is predicted to reach USD 17.16 Bn by the year 2035 at a 9.2% CAGR during the forecast period for 2026 to 2035.

Network Automation Market Size, Share & Trends Analysis Distribution by Offering (Software and Services, Deployment and Integration Services, Training and Support Services, Managed Services), by Network Automation Type (Orchestration Automation, Provisioning Automation, Script-driven Network Automation, AI-driven Network Automation, Intent-Based Network Automation, Network Security Automation, Other Network Automation Type), by Network Type (Data Center Networks, Cloud Networks, Wireless Networks, SD-WAN, Campus Networks, Other Network Type), by End User (Service Providers and Enterprises, Healthcare, Manufacturing, Retail & eCommerce, Government & Defense, Energy & Utilities, Other Enterprises) and Segment Forecasts, 2026 to 2035

Network automation is becoming an increasingly important part of modern IT and telecommunications infrastructure as organisations seek faster, more reliable, and more efficient ways to manage increasingly complex networks. Network automation uses software, orchestration tools, APIs, artificial intelligence, and policy-based technologies to automate tasks such as network configuration, provisioning, monitoring, troubleshooting, security management, and performance optimisation. These capabilities help organisations reduce manual workloads, minimise configuration errors, and improve overall network operations efficiency. As more organisations use cloud computing, data centres, SDN, SD-WAN, 5G, and hybrid IT setups, the need for network automation is growing. Managing larger, more distributed networks makes manual work slow and hard to scale. Automation standardises routine tasks, speeds up service delivery, and adapts quickly to new network needs. Because of this, more companies are turning to automation to boost efficiency, reliability, and support digital transformation.

Technological advancements are further expanding network automation capabilities. Modern solutions increasingly incorporate artificial intelligence and machine learning to identify network anomalies, predict potential failures, optimise traffic, and support automated troubleshooting. Intent-based networking is also gaining attention by letting organisations define desired network outcomes, while automation platforms translate those requirements into appropriate configurations and policies. Integration with APIs, orchestration platforms, cloud management tools, and security solutions helps organisations create more coordinated, automated network environments. Organisations choose different types of network automation depending on their needs. Orchestration automation coordinates tasks across many devices and systems, while provisioning automation makes it easier to set up and configure network resources. 

AI-driven and intent-based automation are becoming more important as networks get smarter and more self-managing. Security automation is also on the rise, helping businesses respond quickly to threats, policy issues, and management. Cloud networks require automation to support dynamic infrastructure and rapidly changing workloads. Wireless networks and SD-WAN environments also benefit from centralised management and automated policy enforcement. In campus networks, automation can simplify device configuration, access management, monitoring, and troubleshooting. These applications are helping organisations manage increasingly distributed and software-defined network environments more efficiently.

Network automation benefits both service providers and businesses. Telecom companies can use automation to deliver services faster, make better use of network resources, and work more efficiently. Many industries, like healthcare, manufacturing, retail, government, and energy, are also turning to automation to support digital operations and keep networks reliable. For example, in manufacturing and energy, automation helps manage lots of connected devices and spread-out infrastructure. In healthcare and retail, having reliable and secure networks is key for digital services and connected apps. Despite these opportunities, several challenges can affect the adoption of network automation. Integrating automation platforms with legacy infrastructure can be complex, especially in organisations that run networks from multiple vendors. 

Initial implementation costs, interoperability issues, security considerations, and the need for skilled networking and automation professionals can also create barriers. Organisations may need to redesign existing workflows and invest in training before they can achieve the full benefits of automation. Concerns around automated changes and network reliability can also make some businesses cautious about moving away from manual processes.

Competitive Landscape

Which are the Leading Players in the  Network Automation Market ?

• Cisco
• IBM
• HPE
• Huawei
• Broadcom
• Arista Networks
• Nokia
• Ericsson
• Extreme Networks
• Fujitsu
• NetBrain Technologies
• Gluware
• SolarWinds
• Riverbed
• Forward Networks
• Palo Alto Networks

Driver

Growing Adoption of Cloud, AI, and Digital Infrastructure is Driving Network Automation

Cloud computing, data centers, SDN, SD-WAN, 5G, and hybrid IT environments are expanding quickly and driving growth in the global network automation market. As networks become more complex and spread out, organizations want to cut down on manual work, boost efficiency, and adapt faster to business needs. Network automation helps by handling repetitive tasks like device setup, provisioning, monitoring, troubleshooting, and enforcing policies, which reduces mistakes and network downtime. More organizations are using AI and machine learning, which is increasing demand for network automation. AI-powered tools can check network performance, spot problems, predict issues, and help fix them automatically. Intent-based networking is also becoming popular, letting organizations set their network goals and have automation tools handle the setup. As SD-WAN and cloud networks grow, there is a greater need for centralized and automated network management. Service providers are using automation to accelerate network provisioning, optimize resources, and improve service delivery, while enterprises are adopting it to manage complex IT environments across offices, data centers, cloud platforms, and remote locations.

Restraint/Challenge

Integration Complexity and Shortage of Skilled Professionals Can Limit Market Expansion

The complexity of integrating network automation solutions with existing infrastructure remains a major challenge for market growth. Many organizations operate networks that include legacy equipment, multiple vendors, different protocols, and a combination of physical and virtual infrastructure. Connecting these environments with modern automation platforms can require significant time, technical expertise, and investment. Organizations can also run into problems with interoperability, cybersecurity, data management, and making sure automation works with their current network systems. If automation workflows are not well designed, they can cause errors or disrupt the network, so careful testing and gradual rollout are important. 

The shortage of professionals with expertise in networking, automation, cloud technologies, APIs, and AI can further slow adoption, particularly among smaller organizations. Companies may need to invest in employee training, professional services, and new management tools before achieving the full benefits of automation. Concerns around security and control over automated network changes can also make organizations cautious about implementing highly automated environments. To overcome these challenges, vendors are increasingly focusing on simplified deployment, open APIs, multi-vendor compatibility, centralized management, and AI-assisted automation. Greater availability of skilled professionals and improved integration capabilities will also be important for wider market adoption.

Enterprise Segment is Expected to Account for a Significant Share of the Network Automation Market

The enterprise segment is expected to represent a significant portion of the network automation market as businesses increasingly modernize their IT infrastructure and manage more complex network environments. Enterprises across healthcare, manufacturing, retail and e-commerce, government and defense, and energy and utilities are adopting automation to improve network reliability, reduce manual workloads, and support digital operations. Large enterprises often operate networks across multiple offices, data centers, cloud platforms, and remote locations. Managing these environments manually can increase operational complexity and make it difficult to maintain consistent configurations and security policies. Network automation helps organizations standardize configurations, automate provisioning, monitor network performance, and respond more quickly to network issues. The growing adoption of cloud services, connected devices, remote work environments, SD-WAN, and software-defined infrastructure is further increasing the need for automated network management.

AI-Driven Network Automation Segment is Expected to Witness Strong Growth of the Network Automation Market

AI-driven network automation is expected to grow quickly as more organizations use AI and machine learning to manage networks. Traditional automation handles set rules and repetitive tasks, but AI-driven automation can analyse large volumes of network data and make smarter decisions. AI-powered solutions can help identify unusual network behavior, detect performance issues, predict potential failures, optimize traffic, and support automated troubleshooting. This can reduce the time required to identify and resolve network problems while improving overall network visibility. The growing complexity of cloud networks, data centers, wireless infrastructure, and SD-WAN environments is creating additional demand for intelligent automation. AI can help network teams manage large numbers of devices and connections without relying entirely on manual monitoring. Integration of AI with intent-based networking can also allow organizations to define desired network outcomes while automation platforms determine and implement the appropriate actions. As AI becomes more embedded in network management platforms, features like predictive analytics, automated fixes, and smart optimisation are expected to open more opportunities for AI-driven network automation.

Why North America Led the Network Automation Market?

Asia Pacific represents a rapidly expanding market for network automation, supported by accelerating digital transformation, expanding telecommunications infrastructure, growing cloud adoption, and significant investments in data centres and enterprise connectivity. 

The increasing integration of artificial intelligence, machine learning, intent-based networking, autonomous network operations, and automated security management is further transforming network management across Asia Pacific. In addition, the region's expanding digital economy, growing internet and mobile connectivity, increasing data-centre capacity, and continued investments in telecommunications infrastructure are supporting the adoption of advanced network automation solutions. These factors are strengthening Asia Pacific's position as an important and rapidly evolving market for network automation.

Key Developments

• In March 2026, Huawei enhanced its Autonomous Driving Network (ADN) portfolio with new capabilities aimed at accelerating Level-4 autonomous network deployment. The solution focuses on higher scenario self-closure, single-domain network autonomy, and end-to-end experience assurance, supporting more automated network operations and reducing manual intervention.

• In May 2026, HPE introduced new self-driving network capabilities across its HPE Mist and HPE Aruba Central platforms. The enhancements use agentic AI and autonomous actions to detect, diagnose, and resolve network issues, while also supporting capacity optimization, security automation, and user-experience improvements.

Network Automation Market Report Scope: