Global Network Automation Market Size, Share, Trends, & Growth Forecast Report By Component (Solutions and Services), Network Type (Physical Network, Hybrid Network and Virtual Network), Deployment Model (On-Premises and Cloud), End User (Enterprise Vertical and Service Providers), Organization Size (Small and Medium Sized Enterprises, Large Enterprises), Vertical (Information Technology, Banking, Financial Services and Insurance, Manufacturing, Healthcare, Energy and Utilities, Education, Media and Entertainment, Retail and Government and Defense) & Region - Industry Forecast From 2024 to 2033
The global network automation market was valued at USD 30.77 billion in 2024 and is forecasted to reach USD 225.97 billion by 2033, expanding at a CAGR of 24.8%.
Network automation refers to the application of automated processes, tools, and technologies to configure, manage, monitor, and optimize network infrastructure with minimal human intervention. It plays a pivotal role in enhancing operational efficiency, reducing manual errors, and enabling real-time decision-making across complex IT environments. The proliferation of cloud computing, IoT devices, and edge computing has significantly increased network complexity, prompting enterprises to adopt automation to streamline operations. According to IDC, global spending on IT automation technologies is expected to grow at a double-digit rate through 2026, driven by the need for agility and cost optimization. Additionally, telecom operators are increasingly deploying software-defined networking (SDN) and network functions virtualization (NFV) to modernize infrastructure, further boosting automation adoption. The Asia-Pacific region, particularly countries like India and Japan, is witnessing rapid deployment of smart city initiatives and 5G networks, which inherently require automated network management systems.
One of the primary drivers of the network automation market is the widespread adoption of cloud computing and the emergence of hybrid IT infrastructures. Enterprises are increasingly migrating their workloads to cloud platforms to enhance scalability, flexibility, and cost-efficiency. This shift necessitates robust network automation tools to manage dynamic cloud environments, orchestrate resources efficiently, and ensure seamless connectivity across distributed systems. In tandem, hybrid IT environments that combine on-premises infrastructure with public and private clouds have become the norm, especially among large enterprises. Managing such heterogeneous setups manually is not only time-consuming but also prone to errors, making automation essential.
Another significant driver of the network automation market is the growing adoption of zero-touch provisioning (ZTP) and intent-based networking (IBN) solutions. These advanced technologies enable enterprises to deploy and manage network devices remotely without manual configuration, thereby reducing operational overhead and minimizing deployment delays. ZTP allows new network equipment to be automatically configured upon connection to the network, while IBN translates business policies into network behavior, ensuring alignment between organizational goals and network performance. According to a report by Deloitte, more than 50% of Fortune 500 companies are piloting or implementing intent-based networking systems to improve service delivery and reduce downtime. Furthermore, as enterprises expand their global presence, especially in sectors like logistics, healthcare, and finance, the need for centrally managed, self-optimizing networks becomes crucial. In addition, the integration of artificial intelligence and machine learning into these systems is accelerating their adoption, as they enable predictive maintenance and proactive troubleshooting.
A major restraint impeding the widespread adoption of network automation is the high initial implementation costs coupled with technical complexity. Deploying network automation solutions often requires substantial investment in software licenses, infrastructure upgrades, and integration with existing systems. Many enterprises, especially small and medium-sized businesses, find it challenging to allocate the necessary capital for such transitions. Additionally, integrating automation tools with legacy systems can be technically demanding, requiring specialized expertise and extended timelines. A study by Forrester found that over 60% of IT decision-makers reported difficulties in aligning automation platforms with existing network architectures, leading to project delays and increased costs. Moreover, the scarcity of skilled professionals capable of managing sophisticated automation frameworks further exacerbates the issue. Organizations must invest in training programs or hire external consultants, adding to the financial burden. While long-term benefits such as reduced operational costs and improved efficiency are well-documented, the upfront expenditure remains a deterrent for many potential adopters.
Security vulnerabilities and regulatory compliance challenges represent another significant constraint on the growth of the network automation market. Automating network operations introduces new attack surfaces, particularly if security protocols are not adequately embedded within automation workflows. Automated systems often rely on APIs and centralized controllers, which, if compromised, could grant attackers extensive control over network infrastructure. Additionally, regulatory bodies worldwide are imposing stringent data protection laws, such as the European Union’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). These regulations mandate strict oversight of data handling and processing mechanisms, complicating the deployment of fully autonomous network systems. Ensuring end-to-end encryption, role-based access controls, and continuous monitoring is essential but adds complexity and cost.
One of the most promising opportunities in the network automation market lies in the expansion of edge computing and distributed network architectures. This shift toward decentralized computing models demands agile and self-managing networks, where automation plays a pivotal role in orchestrating resources efficiently. In such environments, automated provisioning, dynamic load balancing, and policy-driven traffic management become essential for maintaining performance and reliability. Telecommunications providers, manufacturing firms, and logistics companies are already leveraging automation to manage thousands of edge nodes spread across geographically dispersed locations. For example, AT&T’s Smart Cities initiative utilizes automated edge networks to optimize traffic flow and public safety in urban areas.
The convergence of artificial intelligence (AI) and machine learning (ML) with network automation is unlocking transformative opportunities for the market. AI-powered automation enables networks to self-optimize, predict failures, and dynamically adjust configurations based on real-time conditions, significantly improving operational efficiency and user experience. These intelligent systems analyze historical and live data to identify patterns, detect anomalies, and recommend remedial actions before outages occur. For instance, Nokia’s AVA platform leverages AI to perform predictive maintenance in telecom networks, reducing service disruptions by up to 30%. Similarly, Juniper Networks' Mist AI system automates Wi-Fi and wired network management, delivering granular insights into user behavior and device performance. As AI/ML capabilities evolve, they are being integrated into Software-Defined Wide Area Networks (SD-WAN), Zero Trust security models, and cloud-native architectures, further expanding the scope of automation. The World Economic Forum estimates that by 2025, AI-enabled automation will contribute to a 25% reduction in network downtime across global enterprises.
A significant challenge facing the network automation market is the lack of interoperability across heterogeneous systems and vendor-specific platforms. Enterprises today operate within multi-vendor environments comprising networking hardware, cloud services, and proprietary software, each with its own set of protocols, interfaces, and management tools. This fragmentation makes it difficult to implement unified automation strategies that seamlessly integrate all components. A case in point is the telecommunications industry, where operators manage a mix of 4G, 5G, and legacy core networks, each requiring different automation approaches. Open standards such as OpenConfig and NETCONF aim to address this issue, but widespread adoption remains slow. Furthermore, vendors often employ proprietary extensions to differentiate their offerings, inadvertently creating siloed ecosystems that hinder seamless integration.
A critical challenge confronting the network automation market is the acute shortage of skilled professionals who possess expertise in both networking and automation technologies. As enterprises accelerate their digital transformation efforts, the demand for personnel proficient in scripting languages, DevOps practices, and infrastructure-as-code methodologies has surged. However, the supply of qualified talent has not kept pace, resulting in a widening skills gap. According to a 2023 workforce study by CompTIA, nearly 70% of IT hiring managers reported difficulty in finding candidates with hands-on experience in network automation tools such as Ansible, Puppet, and Python-based scripting. Traditional network engineers, trained primarily in manual configuration and troubleshooting, often lack exposure to programmable infrastructure and automation frameworks. Educational institutions and certification programs are gradually adapting to this shift, but the transition remains slow. Meanwhile, enterprises are compelled to invest heavily in reskilling initiatives or rely on external consulting firms to bridge the expertise gap.
REPORT METRIC | DETAILS |
Market Size Available | 2024 to 2033 |
Base Year | 2024 |
Forecast Period | 2025 to 2033 |
Segments Covered | By Component, Network Type, Deployment Model, End-User, Organization Size, Vertical, and Region, and Region |
Various Analyses Covered | Global, Regional and Country-Level Analysis, Segment-Level Analysis, Drivers, Restraints, Opportunities, Challenges; PESTLE Analysis; Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview of Investment Opportunities |
Regions Covered | North America, Europe, Asia-Pacific, Latin America, Middle East & Africa |
Market Leaders Profiled | Volta Networks, Sedona Systems, VMware, BMC Software, Anuta Networks, Apstra, BlueCat, Cisco, Juniper Networks, IBM, Micro Focus, NetBrain, Versa Networks, AppViewX, BackBox and 128 Technology, Forward Networks, SolarWinds, Entuity, Veriflow, Riverbed, Itential, Kentik, SaltStack, and NetYCE and Others. |
The solutions segment is expected to hold a dominant share of the network automation market in 2024, with the increasing demand for automated tools that streamline network provisioning, configuration management, performance monitoring, and policy enforcement. A major driver behind the dominance of this segment is the rising complexity of enterprise networks due to hybrid cloud environments and IoT adoption. Additionally, the integration of AI-driven analytics into automation tools is enhancing real-time decision-making capabilities. Juniper Networks’ 2023 report noted that AI-powered automation solutions reduced network downtime by up to 30%, further reinforcing their strategic importance across industries.
The services segment is projected to grow with a CAGR of 18.2% during the forecast period. The complexity involved in integrating automation tools with legacy systems has led organizations to rely heavily on third-party vendors for implementation and maintenance. Deloitte’s 2023 survey found that over 55% of enterprises outsourced automation-related services to accelerate deployment timelines and ensure compliance with evolving regulatory standards. Furthermore, managed services offer cost-effective scalability, which is making them particularly attractive for SMEs aiming to modernize their networks without significant capital expenditure.
The physical network segment held 47.5% of the network automation market share in 2024 due to its widespread use in traditional enterprise infrastructure, data centers, and telecom carrier networks. One of the key drivers of this segment is the continued investment in data center modernization projects. Cisco’s Annual Internet Report (2021–2026) forecasts that global data center traffic will surpass 20 zettabytes annually by 2026, which is necessitating high-performance physical infrastructure capable of supporting automation. Additionally, government initiatives aimed at strengthening national cybersecurity frameworks have spurred investments in secure, hardware-based networking solutions.
The virtual network segment is anticipated to grow with a CAGR of 19.6% from 2025 to 2033, which was driven by the accelerating shift toward cloud-native architectures, NFV, and SD-WAN deployments. This growth is largely fueled by enterprises seeking greater agility and scalability in managing distributed workloads across hybrid cloud environments.
The on-premises deployment model segment accounted in holding 54.3% of the share in 2024, with the preference for direct control over network infrastructure, especially among large enterprises and government institutions. Organizations in sectors such as finance, healthcare, and defense prioritize on-premises automation due to stringent regulatory requirements and the need for low-latency, secure operations. A key factor contributing to the dominance of this segment is the integration of automation with legacy systems that cannot be easily migrated to the cloud. IBM’s 2023 Infrastructure Report indicated that 43% of enterprises faced challenges in transitioning complex, monolithic applications to cloud environments, necessitating on-site automation tools for seamless operations.
The cloud-based deployment model segment is likely to grow with an expected CAGR of 21.3% in the next coming years with the increasing adoption of SaaS-based automation tools, remote workforce trends, and the need for scalable, cost-effective solutions. This rapid growth is fueled by the ability of cloud-based automation to provide centralized control, real-time analytics, and easy scalability across geographically dispersed networks. Microsoft’s Azure Monitor and AWS Network Manager are examples of cloud-native automation tools gaining traction among enterprises undergoing digital transformation. A 2023 survey by Flexera revealed that 82% of enterprises using cloud automation reported reduced operational costs and faster incident resolution. Additionally, startups and SMEs are increasingly opting for cloud-based automation due to lower upfront costs and minimal dependency on physical infrastructure.
North America was the top performer in the global network automation market with 35.4% of share in 2024, with the early adoption of advanced technologies, a mature IT ecosystem, and heavy investments in cloud and 5G infrastructure. A key growth driver is the widespread deployment of intent-based networking and AI-driven automation in enterprise environments. According to IDC, U.S. enterprises spent over $14 billion on network automation tools in 2023, with financial services, healthcare, and manufacturing sectors leading the charge. Additionally, the federal government’s push for zero-trust security models has accelerated the adoption of automated policy enforcement mechanisms.
Europe network automation market held 22.2% of the share in 2024. The European Union’s Digital Decade initiative aims to ensure 100% gigabit connectivity coverage by 2030, which is spurring investments in intelligent network automation. Moreover, the General Data Protection Regulation (GDPR) has prompted enterprises to deploy automation tools that ensure compliance through real-time policy enforcement and audit trails.
Asia-Pacific network automation market is expected to grow with the highest CAGR in the coming years. China alone accounts for over 40% of the regional market, driven by state-backed digital infrastructure programs such as "Made in China 2025" and the rollout of 5G SA networks by China Mobile and China Telecom. In India, the Smart Cities Mission and Digital India campaign are fueling demand for automated urban infrastructure management. A 2023 report by TechARC indicates that Indian enterprises increased their spending on network automation by 27% year-on-year, with the BFSI and telecom sectors leading adoption.
Latin America is deemed to showcase huge growth opportunities for the network automation market in the coming years. Telecom Argentina and América Móvil are among the major players investing in network automation to support expanding 5G footprints and improve customer experience. A 2023 study by Omdia found that Brazilian enterprises increased their automation spending by 18% compared to the previous year, particularly in the banking and retail sectors. Additionally, the Mexican government's National Digital Strategy aims to boost broadband penetration and automate public sector networks, which is creating new opportunities for vendors offering scalable automation solutions tailored to mid-sized economies.
The Middle East and Africa network automation market growth is propelled with growth being driven by digital transformation initiatives in the Gulf Cooperation Council (GCC) countries and South Africa. The UAE and Saudi Arabia are leading the charge, leveraging automation to support Vision 2030 and Smart Dubai initiatives. According to PwC’s 2023 Middle East TMT Outlook, GCC governments invested over $12 billion in smart infrastructure projects in 2023, including automated transport systems and intelligent utilities. du and Etisalat in the UAE are actively deploying AI-driven automation to optimize 5G network performance.
The global network automation market is concentrated with well-established players. Key players in the market include Volta Networks, Sedona Systems, VMware, BMC Software, Anuta Networks, Apstra, BlueCat, Cisco, Juniper Networks, IBM, Micro Focus, NetBrain, and Versa Networks
Cisco is a global leader in networking and automation technologies, offering a comprehensive portfolio of solutions such as Cisco DNA Center, SD-WAN, and ACI. The company plays a pivotal role in shaping industry standards for intent-based networking and AI-driven automation. Its innovations enable enterprises to deploy self-driving networks that adapt dynamically to changing business needs. Cisco’s strong R&D focus ensures continuous advancements in network programmability and security, which is making it a dominant force in both enterprise and service provider markets.
Juniper has emerged as a key player by integrating artificial intelligence into its automation framework through Juniper Mist AI. This platform enables proactive network management, predictive analytics, and cloud-native orchestration across wired, wireless, and WAN environments. Juniper’s commitment to open standards and cloud-delivered services allows businesses to scale efficiently while maintaining operational simplicity. Its automation strategy emphasizes zero-touch provisioning and real-time performance insights by positioning it as a preferred choice for modern digital infrastructures.
HPE Aruba delivers intelligent edge-to-cloud automation solutions tailored for enterprises embracing hybrid work models and IoT ecosystems. Aruba’s AIOps and Central Cloud Platform automate network operations across wired, wireless, and SD-WAN deployments. By leveraging machine learning and policy-driven controls, HPE Aruba simplifies complexity while enhancing user experience and security. Its strategic focus on edge computing and integration with cloud services strengthens its position as a leading enabler of automated network environments globally.
One major strategy adopted by market leaders is product innovation and AI integration, where companies enhance their automation platforms with machine learning capabilities to enable self-healing and predictive maintenance. Another key approach is strategic partnerships and ecosystem development, allowing vendors to integrate third-party tools and expand interoperability across multi-vendor environments. The cloud-native deployment models are being prioritized, enabling enterprises to manage distributed infrastructure seamlessly via centralized automation platforms. These strategies collectively help players maintain competitive differentiation and drive adoption across industries.
The competition in the network automation market is intensifying as established vendors and emerging players strive to capture market share through differentiated offerings and strategic expansion. Large incumbents leverage their extensive product portfolios, deep customer relationships, and robust R&D capabilities to maintain dominance. Meanwhile, niche players focus on specialized automation solutions tailored for vertical-specific applications or cloud-native environments. The rise of AI-driven automation and intent-based networking has further diversified the competitive landscape, encouraging collaboration between traditional networking firms and software innovators. Vendors are increasingly investing in open architectures, interoperable frameworks, and managed services to meet evolving customer expectations as organizations demand greater agility and scalability. This dynamic environment fosters continuous innovation by ensuring that competition remains fierce across all segments of the market.
This research report on the global network automation market has been segmented and sub-segmented based on the component, network type, deployment model, end-user, organization size, vertical, and region.
By Component
By Network Type
By Deployment Model
By End-User
By Organization Size
By Vertical
By Region
Frequently Asked Questions
Key factors driving growth include the rapid adoption of cloud services, increasing complexity of network infrastructures, the need for improved network security and performance, and the growing importance of DevOps and SDN (Software-Defined Networking) technologies.
AI is significantly impacting the network automation market by enabling more intelligent and predictive network management. AI-driven solutions can analyze vast amounts of data to optimize network performance, predict and prevent failures, and enhance security measures.
Telecommunications companies are crucial in driving the network automation market. They are heavily investing in automation to manage complex, large-scale networks, reduce operational costs, improve service delivery, and prepare for 5G and beyond.
The adoption of 5G technology is significantly influencing the network automation market by necessitating more sophisticated network management solutions to handle increased data volumes, lower latency requirements, and more connected devices. Automation is essential for efficiently managing and optimizing 5G networks.
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