Core Insights - The report by EO Intelligence focuses on the hyper-converged infrastructure (HCI) market in China, analyzing the overall market situation, application implementation, construction methodology, vendor practices, and future trends. Market Overview - Hyper-converged architecture integrates resources through Software-Defined Storage (SDS) and Software-Defined Networking (SDN), addressing the complexities and high TCO of traditional IT architectures. However, challenges such as talent shortages and complex technology routes persist. The market is expected to grow continuously from 2020 to 2029, reaching 24.8 billion yuan by 2024, with further growth anticipated by 2029. Companies like H3C and SmartX hold significant market shares. The integration of AI with hyper-convergence, supported by technologies like NVIDIA GPUs, enhances IT efficiency and promotes cloud-native development [1][2][41]. Application Implementation - Hyper-converged infrastructure is advancing in various sectors. In government, the focus is on office automation software, aiming for a 70%-80% domestic CPU localization rate by 2027. In healthcare, major hospitals are gradually adopting hyper-converged architectures to support systems like HIS and PACS, improving data processing efficiency. The education sector plans phased IT architecture upgrades by 2027 and 2035, with hyper-convergence aiding resource integration. Each sector faces challenges related to ARM vs. x86 architecture choices and data security [1][2][41]. Construction Methodology - The implementation of hyper-converged infrastructure is phased from 2022 to 2027, starting with office automation and expanding to manufacturing systems. Emphasis is placed on IT planning and business alignment, selecting appropriate CPUs (e.g., ARM-based Kunpeng, Phytium, x86-based Zhaoxin), operating systems (UOS, KylinOS), and databases (OceanBase, openGauss). POC testing is crucial for performance validation, alongside strengthening security measures like SM2/SM3/SM4 encryption [2][3]. Vendor Practices - Major vendors like Inspur, Lenovo, and Huawei provide comprehensive solutions, while foreign products from VMware and Nutanix offer high flexibility. In finance, compliance and resource pooling are emphasized, while in healthcare, solutions focus on rapid deployment and simplified operations, such as H3C UIS, which can be deployed in 30 minutes, and Huawei FusionCube, which enhances system reliability [2][3]. Future Trends - The hyper-converged infrastructure will deepen collaboration with cloud vendors and enhance Kubernetes integration to support containerized applications. AIOps will simplify management and improve intelligence levels. The combination of edge computing and HCI will meet real-time processing needs for AI and IoT, with lightweight HCI becoming a significant direction to drive the industry towards efficiency, security, and intelligence [2][3].