Huawei Emerges as Industry Leader in 2024 Telecom Cloud Infrastructure

Huawei has achieved top ratings in GlobalData’s 2024 telecom cloud infrastructure assessment, being recognized as the industry’s sole leader. The Chinese tech giant scored “Leader” status in all seven categories, including network architecture and artificial intelligence (AI) capabilities. Lin Wei, Huawei Cloud Core Network Product Line President, expressed pride in earning perfect marks across all dimensions, emphasizing the company’s commitment to innovative and high-performance telco cloud solutions. As telecom providers increasingly transition from traditional networks to cloud infrastructure—emphasizing automation and cost-efficiency—the market is projected to grow to $27.3 billion by 2027, with a 16.1% annual growth rate according to IDC. Despite this, operators face challenges in managing both traditional and cloud-native systems, a difficulty Huawei’s dual-engine architecture effectively addresses.

The central platform powering Huawei’s success, the Telco Converged Cloud (TCC) platform, leverages the FusionSphere cloud operating system. Utilizing a dual-engine architecture that combines OpenStack for traditional networks and Kubernetes for modern cloud services, it allows for seamless upgrades without disrupting customer service and ensures near-perfect stability. AI and large language models further enhance network maintenance by reducing operational alarm durations and facilitating cross-layer fault detection, thereby optimizing energy consumption and improving network efficiency. These critical developments underscore Huawei’s focus on mirroring the best of both worlds—innovation and reliability—in their cloud solutions to draw in and maintain a diverse client base.

Huawei’s Comprehensive Approach and Tech Innovations

Huawei’s eSight platform, highlighted in the GlobalData assessment, simplifies cloud management by offering a single system to oversee operations across different network setups, aiding in efficient service delivery. This significant development results in streamlined processes and enhanced operator experience, critical factors in a market increasingly geared toward speed and redundancy reduction. Huawei’s TCC platform has seen extensive deployment, with over 1,250 global cloud contracts and support for virtual and cloud-native functions in 30 commercial sites, including major operators like China Mobile. By embedding advanced technologies like AI and machine learning into its core operations, Huawei has managed to offer a robust yet flexible solution tailored for modern-day challenges.

Beyond its product offerings, Huawei has significantly influenced telco-cloud standards, contributing to initiatives in groups such as the European Telecommunications Standards Institute (ETSI) and Kubernetes open-source projects. Their commitment extends beyond mere participation; they have been instrumental in creating testing programs for Network Functions Virtualization (NFV), thus addressing critical integration issues among telecom vendors. These initiatives ensure that the entire ecosystem benefits from seamless, interoperable solutions, fostering industry-wide advancements. This meticulous blend of innovative technology and comprehensive standards participation places Huawei at the forefront of telecom cloud infrastructure, setting a high bar for competitors.

Expansion and Future Prospects in Telecom Cloud Technology

Huawei has secured the top spot in GlobalData’s 2024 telecom cloud infrastructure assessment, standing out as the singular industry leader. The company obtained “Leader” status in all seven evaluated categories, including network architecture and AI capabilities. Lin Wei, President of Huawei Cloud Core Network Product Line, expressed pride in these perfect scores, highlighting Huawei’s dedication to innovative, high-performance telecom cloud solutions. With telecom providers increasingly shifting from traditional networks to cloud infrastructure for greater automation and cost efficiency, the market is expected to expand to $27.3 billion by 2027, growing at an annual rate of 16.1%, according to IDC. However, operators face the challenge of managing both traditional and cloud-native systems, a problem effectively addressed by Huawei’s dual-engine architecture.

At the heart of Huawei’s achievements is the Telco Converged Cloud (TCC) platform, powered by the FusionSphere cloud operating system. This dual-engine architecture combines OpenStack for traditional networks and Kubernetes for modern cloud services, enabling seamless upgrades without service disruption and ensuring exceptional stability. Additionally, AI and large language models enhance network maintenance by reducing operational alarms and aiding in cross-layer fault detection, optimizing energy use, and improving network efficiency. These advancements highlight Huawei’s commitment to combining innovation and reliability, attracting and maintaining a diverse clientele.

Explore more

Will 6G Fail to Deliver on Its Multivendor Promise?

The global telecommunications landscape stands at a precarious crossroads where the lofty technical ambitions of 6G connectivity are colliding with the harsh commercial realities of a market that is increasingly consolidating. While early projections for the post-5G era promised a decentralized future where software and hardware from a dozen different suppliers would interoperate seamlessly, the actual roadmap suggests a return

Verizon Expands 6G Forum to Build AI-Native Networks

The invisible infrastructure that powers our digital lives is currently undergoing a radical metamorphosis, shifting from a passive transmission pipe into a sentient, self-aware organism capable of perceiving the physical environment with surgical precision. While the mobile industry spent the last decade focusing on the raw speed of handheld devices, the focus has shifted toward a future where the network

How Is AI-RAN Transforming Global Mobile Networks?

Telecommunications towers across the globe are quietly shedding their legacy skins to reveal an intelligence that was once confined to the high-security walls of experimental laboratories. This shift represents the most significant architectural change in a generation, as Artificial Intelligence Radio Access Network (AI-RAN) technology transitions from a conceptual blueprint into a functioning reality. Today, the static hardware that defined

Will AI in B2B Marketing Cut Costs or Fuel Performance?

The moment a marketing automation tool generates a month of hyper-personalized content in a fraction of a second, the fundamental value of human effort undergoes a radical shift. This is no longer a hypothetical scenario for the distant future; it is the baseline operational standard for B2B enterprises in 2026. Marketing leaders find themselves at a critical juncture where the

How Does Intelligence-Led Strategy Redefine B2B Influence?

The silent death of a multi-million dollar enterprise deal often occurs not because of a technical failure, but because the decision-makers simply stopped listening to the brand’s increasingly noisy corporate narrative. While organizations pour resources into high-fidelity video and glossed-over whitepapers, the average B2B buyer has developed a sophisticated filter for marketing rhetoric. This internal shield makes traditional distribution methods