Why autonomous networking could become a necessity for emerging-market enterprises

Details: STAFF WRITER; Category: Enterprise Ecosystems; 05 August 2026; 3754 views

Being named a Leader in Gartner’s 2026 Magic Quadrant for Enterprise Wired and Wireless LAN Infrastructure for the fourth consecutive year is more than another industry milestone for Huawei.

It reflects a broader shift in enterprise networking, where organisations are increasingly prioritising AI-driven operations, integrated security and automation over hardware specifications alone.

That shift is already reshaping enterprise investment. According to IDC, the worldwide enterprise WLAN market grew 13.9% year-on-year in the fourth quarter of 2025 to $2.9 billion, with Wi-Fi 7 accounting for almost 40% of enterprise access point revenue as organisations upgraded networks to support AI applications, cloud services and increasingly connected workplaces.

Gartner argues that enterprise wired and wireless LAN infrastructure is increasingly being judged by operational outcomes rather than feature lists. AI-powered automation, hands-off operations and embedded security are becoming key purchasing criteria as IT teams seek to reduce operational complexity while delivering consistent user experiences. The analyst firm also notes that campus networking software is becoming a primary source of competitive differentiation as networking hardware itself becomes increasingly commoditised.

Against this backdrop, Huawei’s continued leadership (see chart, below) position reflects the direction in which enterprise networking is evolving. Gartner recognised the company’s strengths in AI-driven operations, autonomous network management and integrated security, areas that are becoming increasingly important for organisations managing complex campus environments with limited IT resources.

Gartner Magic Quadrant image

Perhaps the most notable trend identified by Gartner is the growing importance of network autonomy. Traditionally, network operations teams have been responsible for identifying faults, diagnosing root causes and implementing fixes. Increasingly, however, vendors are embedding AI capabilities directly into network infrastructure, allowing networks to monitor themselves, identify problems and in some cases automatically resolve them.

Huawei has positioned this capability at the centre of its campus networking strategy. According to the company, its AI-driven operational framework enables end-to-end visibility across users, applications, devices and network resources while automating large parts of the troubleshooting process. Huawei says its systems can automatically resolve a significant proportion of wireless network faults without human intervention, helping organisations reduce downtime and operational complexity.

For enterprises operating with lean IT teams, particularly in developing markets, such capabilities could deliver tangible benefits. Rather than relying on highly specialised personnel to manually diagnose issues across geographically dispersed sites, autonomous networking platforms aim to simplify operations while maintaining service quality.

Another area attracting growing attention is wireless infrastructure. As organisations adopt AI-powered applications, cloud services and increasingly data-intensive workloads, wireless networks are becoming critical production infrastructure rather than merely a convenience layer.

Huawei has invested heavily in Wi-Fi 7 technologies, and earlier this year the company announced that it ranked first globally in enterprise-class Wi-Fi 7 market share and shipments, according to IDC data. The company says it has now shipped more than two million enterprise Wi-Fi 7 products worldwide.

While raw speed remains important, the broader objective is reliability. Huawei’s latest wireless platform incorporates technologies designed to reduce interference, improve mobility and maintain connectivity as users move across campus environments. Such capabilities are increasingly important as organisations seek to support AI-enabled services, real-time collaboration tools and growing numbers of connected devices.

Security is the third pillar underpinning the evolution of enterprise networking. The rise of connected devices, cloud applications and hybrid working environments has expanded the attack surface for organisations across all sectors. At the same time, many enterprises lack the dedicated cybersecurity resources required to continuously monitor and respond to emerging threats.

This has accelerated interest in zero-trust architectures and embedded security capabilities. Huawei’s approach combines endpoint identification, anomaly detection and network-level protection into a single framework. The company’s SmartAD technology, for example, uses AI embedded within network switches to establish behavioural baselines for connected devices and identify unusual activity in real time. Huawei says threats can then be contained automatically before they spread across the wider network.

For emerging-market organisations pursuing digital transformation initiatives, the implications are significant. As networks become larger, more distributed and increasingly critical to business operations, manual management approaches may struggle to keep pace.

Gartner’s latest assessment suggests that the future of enterprise networking will be defined less by hardware specifications and more by intelligence, automation and security. In that environment, autonomous operations, AI-driven optimisation and integrated security capabilities are likely to become key differentiators.

The challenge for enterprises will be determining how quickly they can transition from managing networks manually to allowing networks to manage themselves.