According to MarketsandMarkets™, the global Network Automation Market will grow from USD 8.69 billion in 2026 to USD 14.42 billion by 2032, registering a compounded annual growth rate (CAGR) of 8.8% during the forecast period.
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The increasing scale and diversity of network infrastructure are encouraging organizations to replace fragmented, manual operating processes with centralized and programmable approaches to network management.
Enterprises are managing a growing mix of data center, cloud, branch, edge, and virtualized infrastructure, increasing the number of configuration and operational activities that must be coordinated across the network. Automation helps organizations standardize these activities, accelerate service deployment, and improve consistency across distributed environments. The increasing use of APIs, orchestration platforms, infrastructure-as-code, and software-defined networking is further integrating network operations with broader IT management and application delivery processes. In addition, the growth of cloud-native workloads and AI-intensive computing is increasing demand for networks that can dynamically accommodate changing traffic patterns and resource requirements. Organizations are also moving toward proactive network operations through greater use of analytics, observability, predictive capabilities, and automated remediation. These developments are strengthening the role of network automation in improving operational agility and supporting scalable infrastructure, while integration with legacy environments and the availability of specialized technical expertise remain important considerations for adoption.
Based on network automation type, the AI-driven network automation segment is expected to grow at the highest CAGR during the forecast period
AI-driven network automation is expected to register the highest growth as organizations seek to move from predefined automation workflows toward more adaptive and intelligent network operations. Unlike conventional automation approaches that primarily execute predetermined tasks, AI-driven solutions can analyze network telemetry, identify unusual behavior, and support decisions related to configuration, performance, and resource utilization. The integration of machine learning and advanced analytics enables network teams to identify potential issues earlier and prioritize corrective actions based on network conditions. AI-driven automation can also support automated root-cause analysis and remediation, reducing the time required to resolve operational incidents. As networks become increasingly distributed and generate larger volumes of operational data, these capabilities are becoming more relevant for maintaining performance across complex infrastructure. The growing adoption of AI-enabled observability and autonomous network management is therefore expected to accelerate demand for AI-driven network automation across enterprises and service providers.
Based on end user, the enterprise segment is expected to hold the largest market share during the forecast period.
The enterprise segment is expected to maintain the largest share of the network automation market as organizations across industries continue to modernize their network infrastructure and streamline IT operations. Large enterprises increasingly operate across multiple offices, data centers, cloud environments, and remote locations, making consistent network management more challenging through manual processes. Network automation allows enterprises to standardize configuration and provisioning activities, reduce repetitive operational work, and improve visibility across distributed infrastructure. It also enables network teams to respond more rapidly to changing application and connectivity requirements while maintaining established policies and operational controls. The increasing integration of network operations with cloud management, DevOps, IT service management, and security processes is further expanding enterprise use cases. Financial services, healthcare, manufacturing, retail, telecommunications, and government organizations are consequently adopting automation to improve infrastructure scalability and operational efficiency. As enterprises continue transitioning toward hybrid and software-defined environments, demand for network automation platforms and associated services is expected to remain strong.
Based on region, the Asia Pacific market is expected to grow at the highest CAGR during the forecast period.
Asia Pacific is expected to record the highest growth in the network automation market, supported by rapid expansion of digital infrastructure and increasing investments in cloud, data centers, telecommunications, and enterprise connectivity. Organizations across major economies are modernizing network infrastructure to support growing digital workloads and increasingly distributed IT environments. The expansion of data center capacity and cloud services is creating a need for automated provisioning, configuration, and network optimization across large-scale infrastructure. Telecommunications providers are also adopting software-driven network architectures to improve service deployment and manage increasingly complex network environments. In addition, the growing deployment of edge infrastructure and advanced enterprise applications is increasing the number of geographically distributed network resources that require centralized management. Countries such as China, India, Japan, and South Korea are contributing to regional expansion through investments in digital infrastructure and network modernization. As enterprises and service providers increasingly prioritize scalable operations and faster service delivery, the adoption of network automation solutions is expected to accelerate across the region.
Key Players
The major vendors in the network automation market are Cisco (US), IBM (US), HPE (US), Huawei (China), Broadcom (US), Arista Networks (US), Nokia (Finland), Ericsson (Sweden), Extreme Networks (US), and Fujitsu (Japan).
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