Delray Beach, FL, Oct. 26, 2026 (GLOBE NEWSWIRE) -- According to MarketsandMarkets™, the global AI in Network Market is projected to grow from USD 8.38 billion in 2026 to USD 21.52 billion by 2032, registering a compound annual growth rate (CAGR) of 17.0% during 2026–2032, according to a report by MarketsandMarkets™.
Increasing network complexity, rising data volumes, and demand for real-time visibility are accelerating AI adoption across network infrastructure. Enterprises and communication service providers are investing in AI-powered management, predictive analytics, intelligent monitoring, and automation to improve network performance, reduce downtime, and optimize resource utilization. The growing deployment of cloud computing, 5G, and edge infrastructure is further driving demand for intelligent networking solutions that can detect anomalies, analyze operational data, and enable faster decision-making, strengthening network resilience and operational efficiency.
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Key Market Highlights
- Market size (2026): USD 8.38 billion
- Projected market size (2032): USD 21.52 billion
- Growth rate: CAGR of 17.0% (2026–2032)
- Fastest-growing region: Asia Pacific
- Years considered: 2026–2032
- Key players: Cisco (US), HPE (US), Nokia (Finland), Ericsson (Sweden), Huawei (China), Arista Networks (US), NVIDIA (US), IBM (US), Fujitsu (Japan), Dell Technologies (US), Ciena (US), and NEC (Japan).
Why This Market Matters
As organizations adopt cloud services, hybrid IT, 5G, edge computing, and connected devices, network infrastructure is becoming increasingly complex to manage. AI-enabled networking helps address these challenges through real-time traffic analysis, predictive maintenance, automated fault detection, and capacity planning, enabling faster incident resolution and more efficient resource utilization. These capabilities help enterprises and communication service providers improve network reliability, strengthen security monitoring, enhance user experience, and reduce operational costs. As businesses become more dependent on uninterrupted connectivity, AI-driven networking is emerging as a strategic investment for building scalable, resilient, and autonomous network infrastructure.
Market Overview
The AI in network market includes solutions for network management, optimization, security, automation, orchestration, and planning and design. Rising network traffic, cloud-native applications, 5G, edge computing, and IoT are increasing demand for intelligent infrastructure that can adapt to changing network conditions. By leveraging machine learning, predictive analytics, and automation, these solutions help detect anomalies, anticipate failures, optimize traffic, and accelerate troubleshooting. The shift from reactive administration to predictive, self-optimizing network operations is creating opportunities for vendors to improve network reliability, visibility, and operational efficiency across enterprises and telecom environments.
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Analyst Perspective
The growth of the AI in network market reflects the increasing need for intelligent, automated network operations as infrastructure becomes more complex and data-intensive. AI-driven network management is expected to play a central role, while managed services enable organizations to access advanced monitoring, predictive analytics, and troubleshooting without significant in-house investments. The adoption of cloud computing, 5G, edge computing, and software-defined networking is further driving demand for AI-powered solutions. Vendors that deliver measurable improvements in network performance, security, resilience, and operational efficiency are likely to strengthen their competitive positions.
Segment Analysis
AI-driven network management to maintain the largest market share
By solution, AI-driven network management is expected to hold the largest share of the AI in network market during the forecast period, driven by increasing network complexity, rising data volumes, and demand for automated operations. Enterprises and communication service providers are adopting these solutions for real-time monitoring, performance optimization, fault detection, and incident resolution. The growing deployment of 5G, cloud, edge computing, IoT, and software-defined networking is further supporting adoption. Machine learning, predictive analytics, generative AI, and closed-loop automation enable organizations to anticipate failures, optimize resources, and develop self-optimizing networks.
Managed services to record a higher growth rate
By service, the managed services segment is expected to register a higher growth rate during the forecast period as enterprises increasingly outsource AI-driven network monitoring, optimization, and maintenance. The growing complexity of hybrid, multi-cloud, and 5G environments is driving demand for specialized expertise, predictive maintenance, automated troubleshooting, and performance optimization. Managed service providers enable organizations to access AI-powered analytics and automation without significant in-house investments. The expanding adoption of AIOps, edge computing, software-defined networking, and cloud-based infrastructure is further supporting segment growth by improving network reliability and operational efficiency.
Regional Analysis
Asia Pacific is expected to register the highest growth rate in the AI in network market during the forecast period, driven by rapid 5G deployment, investments in cloud and edge infrastructure, and increasing adoption of AI-driven network optimization across China, Japan, South Korea, India, and Singapore. Telecom operators and enterprises are leveraging AI for traffic management, predictive maintenance, network security, and operational efficiency to reduce costs and enhance user experience. The shift toward AI-native and 6G networks is further creating opportunities for software-defined architectures, distributed AI, and AI-enabled radio access networks. In March 2026, NTT DOCOMO and SK Telecom collaborated on a joint white paper outlining the technical requirements and enabling technologies for evolving vRAN into AI-RAN, highlighting regional progress toward AI-native network development.
Key Industry Trends
- Shift toward autonomous network operations
- Predictive maintenance and real-time analytics
- Convergence of AI, cloud, 5G, and edge computing
- Growth of AI-driven network security
- Integration of observability and closed-loop automation
- Expansion of managed network services
Competitive Landscape
The Top Companies in AI in Network Market include Cisco, HPE, Nokia, Ericsson, Huawei, Arista Networks, NVIDIA, Extreme Networks, Broadcom, IBM, Fujitsu, Dell Technologies, Ciena, and NEC. Other participants include Forward Networks, BlueCat Networks, A10 Networks, ScienceLogic, Versa Networks, Dynatrace, Infoblox, EfficientIP, Riverbed, NETSCOUT, SolarWinds, NetBrain, ManageEngine, VIAVI Solutions, Selector, Aviz Networks, Nile, NetBox Labs, Celona, Shabodi, and A5G Networks.
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