AI in Network Market

The AI in network market size is projected to grow from USD 8.38 billion in 2026 to USD 21.52 billion by 2032, at a 17.0% CAGR during the forecast period. The AI in network market is driven by the growing complexity of network infrastructure, increasing demand for real-time network visibility, rising adoption of cloud and edge computing, and the need to improve network performance and operational efficiency. Enterprises, telecommunications providers, cloud service providers, and data centers are increasingly adopting AI-enabled network solutions integrated with machine learning, generative AI, automation, predictive analytics, and network telemetry to optimize network operations and reduce manual intervention. AI technologies enable real-time monitoring, anomaly detection, predictive maintenance, automated configuration, traffic optimization, fault prediction, and intelligent resource allocation, helping organizations improve network reliability, reduce downtime, and enhance service quality. The growing deployment of 5G, software-defined networking (SDN), network functions virtualization (NFV), Internet of Things (IoT), and edge infrastructure is further increasing the volume and complexity of network data, accelerating the demand for AI-driven network management and orchestration.

Additionally, the growing focus on cybersecurity is encouraging organizations to use AI for threat detection, behavioral analysis, automated response, and identifying abnormal network activity. These capabilities support faster decision-making, proactive issue resolution, improved network utilization, and lower operational costs. As digital transformation expands across enterprises, telecommunications, cloud environments, data centers, and connected infrastructure, AI in network solutions are becoming an essential component of modern network operations, enabling intelligent automation, resilient connectivity, scalable infrastructure, and more efficient network management.

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The major vendors covered in the AI in network market include Cisco (US), HPE (US), Nokia (Finland), Ericsson (Sweden), Huawei (China), Arista Networks (US), NVIDIA (US), Extreme Networks (US), Broadcom (US), IBM (US), Fujitsu (Japan), Dell Technologies (US), Ciena (US), NEC (Japan), Forward Networks (US), BlueCat Networks (Canada), A10 Networks (US), ScienceLogic (US), Versa Networks (US), Dynatrace (US), Infoblox (US), EfficientIP (France), Riverbed (US), NETSCOUT (US), SolarWinds (US), NetBrain (US), ManageEngine (US), VIAVI Solutions (US), Selector (US), Aviz Networks (US), Nile (US), NetBox Labs (US), Celona (US), Shabodi (Canada), and A5G Networks (US). 

Cisco

Cisco is a global technology company focused on networking, security, observability, collaboration, and digital infrastructure solutions that enable organizations to connect and operate securely in the AI era. With more than four decades of networking expertise, Cisco provides a broad portfolio spanning enterprise networking, data center infrastructure, wireless and switching solutions, security platforms, observability, and AI-ready infrastructure. Technologies such as Silicon One, Cisco Networking Cloud, Cisco AI Assistant, and ThousandEyes support its portfolio, enabling organizations to improve network performance, security, and operational resilience. The company has further strengthened its capabilities through strategic portfolio expansion and the acquisition of Splunk, combining Cisco’s networking and security capabilities with Splunk’s observability and data analytics technologies. Cisco leverages AI, machine learning, telemetry, and automation across its platforms to help enterprises manage increasingly complex hybrid, cloud, and AI environments.

In the AI in network market, Cisco offers an integrated portfolio that supports both AI for networks and networks for AI. Its Cisco Networking Platform integrates Meraki, Catalyst Center, and ThousandEyes to provide AI-powered visibility, predictive operations, automated troubleshooting, and network assurance across hybrid environments. Cisco AI Assistant enables natural-language interaction and agentic workflows for network monitoring, troubleshooting, configuration, and remediation, while ThousandEyes uses AI-driven insights and extensive network telemetry to identify performance issues and accelerate resolution. For AI workloads, Cisco provides high-performance data center networking based on its switching, silicon, optics, and congestion-management technologies, supporting high-bandwidth, low-latency connectivity across GPU clusters and AI factories. Cisco also integrates security and observability capabilities to improve visibility, resilience, and protection of AI-driven environments. Through its continued development of AI-native networking, AgenticOps, and AI infrastructure, the company is positioned to strengthen its role in the AI in network market by enabling autonomous network operations, improving operational efficiency, reducing troubleshooting time, and supporting scalable AI deployments.

HPE

Hewlett Packard Enterprise (HPE) is a global technology company providing edge-to-cloud infrastructure, networking, compute, storage, hybrid cloud, security, and AI solutions for enterprises, service providers, and other organizations. The company offers a broad technology portfolio spanning enterprise networking, data center infrastructure, cloud services, AI infrastructure, and IT operations management. HPE significantly expanded its networking capabilities by acquiring Juniper Networks in July 2025, combining HPE Aruba Networking with Juniper’s AI-native networking portfolio and creating a comprehensive networking stack spanning hardware, silicon, operating systems, security, software, and services. The combined portfolio strengthens HPE’s capabilities across campus and branch networking, data center switching, routing, security, and service-provider infrastructure. HPE is increasingly positioning networking as a foundational component of its broader AI and hybrid-cloud strategy, emphasizing secure, cloud-native, and AI-driven infrastructure.

In the AI in network market, HPE provides an integrated portfolio focused on AI for networks and networks for AI, combining HPE Aruba Networking Central, HPE Juniper Networking Mist, Marvis AI, AIOps, data center switching, routing, and AI infrastructure. Its AI-native networking capabilities use agentic AI to provide proactive monitoring, automated troubleshooting, root-cause analysis, self-healing, and network optimization, while HPE’s self-driving network strategy enables networks to detect, diagnose, and resolve issues with limited human intervention. For AI workloads, HPE provides networking infrastructure designed to support high-performance AI data centers, including AI-optimized switching and routing solutions that improve connectivity, scalability, and efficiency across GPU-intensive environments. The integration of Aruba and Juniper capabilities, together with HPE GreenLake and AI-driven operations, enables customers to simplify network management, improve user experience, reduce operational complexity, and accelerate AI deployment. Through continued investment in agentic AIOps, AI-native networking, and AI data center infrastructure, HPE is positioned to strengthen its presence in the AI in network market and advance its strategy toward secure, autonomous, self-driving networks.

Market Ranking

The AI in network market comprises established networking equipment providers, telecom technology companies, semiconductor vendors, and emerging AI-native networking startups. Leading companies such as Cisco, NVIDIA, Huawei, Ericsson, Nokia, HPE, Arista Networks, and Broadcom maintain strong positions through portfolios covering AI-ready data center networking, intelligent network management, automation, AI-driven assurance, autonomous networks, high-performance Ethernet and InfiniBand, and network observability. Cisco offers AI-powered analytics, assurance, security, and automated network operations, while NVIDIA provides integrated networking solutions spanning Ethernet, InfiniBand, DPUs, networking software, and AI-factory infrastructure. Huawei, Ericsson, and Nokia focus on AI-driven RAN, autonomous networks, network automation, and closed-loop assurance. HPE is strengthening its enterprise, data center, edge, and AI networking capabilities through Aruba Networking and Mist following its acquisition of Juniper Networks. Arista Networks and Broadcom remain key players in AI data center fabrics through high-performance switching, networking software, networking silicon, and optical connectivity.

Startups and emerging providers are increasingly shaping competition by addressing AI infrastructure, open networking, automation, and multi-cloud requirements. Companies such as Arrcus, Aviz Networks, Netris, and Alkira are differentiating through AI-oriented Ethernet fabrics, SONiC-based open networking, vendor-neutral architectures, network automation, observability, and multi-cloud connectivity. These companies target specialized use cases and offer greater flexibility, faster deployment, and hardware-agnostic solutions, creating competitive pressure on established vendors.

Market participants are increasingly integrating generative AI, agentic AI, predictive analytics, network telemetry, and autonomous operations while addressing both AI for networks and networks for AI. As enterprises, cloud providers, and communication service providers prioritize scalability, performance, cybersecurity, energy efficiency, and automation, competition is expected to intensify. AI-native architectures, autonomous operations, high-performance AI fabrics, open networking, interoperability, intelligent assurance, and ecosystem partnerships are expected to remain key competitive differentiators.

Related Reports:

AI in Network Market by Solution (Network Management, Network Optimization, Network Security, Network Automation, Network Orchestration, Network Planning & Design) - Global Forecast to 2032

Contact:
Mr. Rohan Salgarkar
MarketsandMarkets™ INC.
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