Summary:
- Huawei has been positioned in the Leaders Quadrant of the 2026 Gartner® Magic Quadrant™ for Infrastructure Platform Consumption Services. It is the only Chinese enterprise among the only three vendors worldwide to be recognized as a Leader.
- This recognition from the globally renowned authority validates Huawei’s full-stack architecture, which seamlessly integrates storage, compute, network, virtualization, data/AI, and intelligent management capabilities to accelerate enterprises’ digital and intelligent transformation.
[Shenzhen, China, September 24, 2026] The Business and Technology Insights Company Gartner® has released the 2026 Magic QuadrantTM for Infrastructure Platform Consumption Services. Huawei has been placed in the Leaders Quadrant, the only non–North American vendor to do so.
Huawei Recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Infrastructure Platform Consumption ServicesThe report comprehensively evaluates vendors based on their IT infrastructure platform capabilities, service-oriented delivery, and operations management. Built on 18 years of technical expertise, Huawei’s DCS full-stack data center solution integrates storage, compute, network, virtualization, data and AI, and intelligent management capabilities to accelerate enterprises’ digital and intelligent transformation. This leading full-stack IT solution uses eSphere virtualization to deliver efficient resource pooling and scheduling for storage, compute, and network resources. In addition, the ModelEngine model platform and Nexent agent platform help customers accelerate the deployment of models and agent applications. Delivering high performance, reliability, and scalability, OceanStor data storage natively supports multiple protocols such as block, file, and object. It also supports comprehensive data protection through solutions that include an intra-city active-active setup, remote disaster recovery, and multi-layer ransomware protection. Huawei’s unified iMaster DME management platform provides service-oriented storage, compute, and other resources, delivering a new AgenticOps experience for customers.
Huawei DCS has already been chosen by more than 15,000 customers from over 170 countries and regions, covering key sectors such as the government, finance, healthcare, manufacturing, and carriers. Looking to the future, Huawei DCS will continue to prioritize customer needs and work closely with ecosystem partners to help enterprises build efficient and reliable IT infrastructure, improve the service experience, boost operations efficiency, and achieve shared success in the intelligent era.
FAQs:
Q1: What is the Gartner® Magic Quadrant™ for Infrastructure Platform Consumption Services?
This is a comprehensive research report published by Gartner®, a leading international analyst firm, focusing on the IT Infrastructure-as-a-Service (IaaS) market. It evaluates global vendors across two primary dimensions: “Ability to Execute” and “Completeness of Vision.” The report serves as a key benchmark for assessing a vendor’s technical prowess and market standing in this sector, helping enterprise customers quickly identify and select top-tier infrastructure service providers.
Q2: Why is the Huawei DCS Full-Stack Data Center Solution significant?
Built on 18 years of technical expertise, Huawei DCS breaks through traditional IT infrastructure bottlenecks—such as resource silos, complex O&M, and insufficient data resilience. By leveraging full-stack capabilities including the iMaster DME unified control plane, eSphere virtualization, OceanStor storage, and the ModelEngine and Nexent AI platforms, DCS delivers core values such as highly efficient resource scheduling, rapid AI deployment, robust business continuity, and a massive boost in O&M efficiency.
Q3: What are the current application scenarios for Huawei DCS?
Huawei DCS has been widely deployed across key sectors including government, finance, healthcare, manufacturing, and carriers. It supports a diverse range of scenarios such as centralized trading, high-performance computing (HPC), AI training and inference, core OLTP workloads, and unstructured data processing. This enables enterprise customers to build efficient, reliable IT infrastructure while simultaneously enhancing both service experience and operational efficiency.
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