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市場調查報告書
商品編碼
2143320
資料中心刀鋒伺服器市場:依層級、應用程式、外形規格、資料中心類型、最終用戶、國家及地區分類-全球產業分析、市場規模、市場佔有率及2026年至2033年預測Data Center Blade Server Market, By Tier Type, By Application, By Form Factor, By Data Center Type, By End User, By Country, and By Region - Global Industry Analysis, Market Size, Market Share & Forecast from 2026-2033 |
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2025年資料中心刀鋒伺服器市值為209.804億美元,預計從2026年到2033年將以8.2%的複合年成長率成長。
資料中心刀鋒伺服器是一種模組化運算系統,其中多個可熱插拔的伺服器節點在底盤內共用電源、散熱、網路和管理功能。刀鋒伺服器強調高密度、集中管理、快速配置和基礎架構共用。刀片伺服器的使用者包括企業、雲端服務供應商、託管資料中心和高密度運算環境。現代刀片架構提供越來越高的柔軟性;例如,戴爾的 PowerEdge MX760c 可以在 MX7000底盤內容納多達 8 個 1U 運算執行緒。在工作負載層面,虛擬化、私有雲端、分析、高效能運算 (HPC) 以及日益重要的 AI 正在改變模組規格。這些技術影響刀片伺服器的記憶體頻寬、加速器支援、儲存密度和溫度控管。這些變化正在推動市場超越單純的運算整合;相反,市場現在的目標是建立能夠適應異質工作負載的基礎設施。
資料中心刀鋒伺服器市場 - 市場動態
由於人工智慧密集型資料中心工作負載的增加,運算密度也隨之提高。
人工智慧和資料密集型工作負載正在挑戰模組化伺服器基礎架構的效能極限。過去,傳統的刀鋒伺服器配置是為 CPU 虛擬化和集中管理的企業應用而設計的。如今,現代部署需要更大的記憶體頻寬、更佳的加速器連接性、更快的儲存速度和更強大的散熱能力——所有這些都必須整合在一個機架空間內。思科將於 2025 年 2 月推出的 UCS X210c M8 就清楚展現了這項轉變。這款新型模組化運算節點每個處理器最多支援 86 個內核,並具備基於 PCIe 的 GPU 擴充功能。這種轉變至關重要,因為刀鋒伺服器平台必須處理先前運行在專用機架系統上的工作負載,同時還要保持其高密度和簡化管理的優勢。因此,供應商不僅致力於增加 CPU 數量,還專注於提升加速器相容性和運算密度。
全球資料中心刀片伺服器市場按層級類型、應用程式、外形規格、資料中心類型、最終用戶和地區進行細分。
從層級類型來看,層級分類主要影響刀鋒伺服器基礎架構運作的可靠性環境,而不影響刀鋒伺服器本身的設計。一級和二級設施可以支援停機時間不關鍵且基礎架構冗餘要求嚴格的伺服器。相較之下,三級環境要求系統設計為能夠與電源、冷卻和支援系統協同運作,並可不間斷地進行維護。四級設施則要求具備容錯能力,這意味著底盤冗餘、熱插拔零件、集中管理和可維護性至關重要。這種差異在實際運行中至關重要,因為刀片系統在計算節點之間共用基礎架構。底盤層級的故障可能會立即中斷工作負載。 HPE Synergy 480 Gen12(2025 年支援的生態系統的一部分)每個處理器支援高達 4 TB 的 DDR5 內存,這充分展現了高密度模組如何為始終運作的環境而設計。
刀片架構共用基礎架構提供運算能力的有效性取決於應用類型。虛擬化和私有雲端環境具有資源分配和可組合性的優勢。人工智慧/機器學習和分析工作負載需要記憶體、加速器、高速 I/O 和卓越的散熱性能。高效能運算 (HPC) 系統依賴互聯的運算資源,而儲存密集型任務則高度依賴直接的 NVMe 存取和資料傳輸。邊緣和物聯網部署面臨空間限制和簡化操作的需求等挑戰。思科 2025 年 X210c M8 文件列出了超融合基礎架構 (HCI)、人工智慧 (AI)、資料庫和備份/災害復原等支援的工作負載,並且最多可容納九個 E3.S NVMe 驅動器。這表明模組化伺服器正在超越虛擬化,以支援結合運算密集型和資料密集型任務的各種工作負載。
資料中心刀鋒伺服器市場—區域洞察
亞太地區至關重要,因為中國、日本、韓國、新加坡和印度憑藉大規模的數位基礎設施、快速發展的雲端運算以及資料處理工廠,正在建立大量的伺服器環境。中國工業和資訊化部宣布,到2025年3月,資料中心將使用超過900萬個標準機架。這樣的基礎設施構成了強大的基礎,透過更有效地利用伺服器底盤空間和簡化硬體維護,支援精簡的管理。該地區的需求因資料中心和中小企業的環境而異,因此,企業擴大提供能夠在標準環境中處理虛擬化、資料分析和高速運算的系統。亞太地區至關重要,因為它擁有龐大的數位基礎設施和廣泛的業務,這些業務對運算能力的需求各不相同。
北美之所以重要,不僅在於其已安裝的機架數量龐大,更在於新建資料中心正快速轉型為高密度運算區域。根據世邦魏理仕 (CBRE) 的報告,2025 年上半年資料中心總容量為 8,155 兆瓦,但可用空間預計將下降至 1.6%,這主要是由於大型企業和人工智慧用戶的需求。這種情況有利於能夠快速部署並根據不斷變化的工作負載進行擴展的伺服器。刀片式和模組化設計透過共用電源、網路、管理和冷卻組件來促進這一點。人工智慧密集型環境通常需要比普通伺服器更高效能的加速器和更先進的冷卻系統。北美在市場中的地位與高密度建築的建設密切相關,在這些建築中,每個機架的運算能力能否靈活調整和擴展至關重要。
Data Center Blade Server Market size was valued at US$ 20,980.4 Million in 2025, expanding at a CAGR of 8.2% from 2026 to 2033.
Data center blade servers are modular compute systems where many hot-swappable server nodes share power, cooling, networking, and management that belong to the chassis. Blade servers focus on density, centralized management, quick provisioning, and shared infrastructure. Enterprises, cloud operators, colocation facilities, and high-density computing environments are the users of blade servers. Modern blade architectures are becoming more flexible. For example, Dell's PowerEdge MX760c can hold up to eight 1U compute sleds inside an MX7000 chassis. At the workload level, virtualization, private cloud, analytics, HPC, and increasingly AI shift module specifications. These technologies affect memory bandwidth, accelerator support, storage density, and thermal management of blade servers. Because of these shifts, the market is moving away from plain compute consolidation. Instead, the market now targets infrastructure that adapts to heterogeneous workloads.
Data Center Blade Server Market- Market Dynamics
Rising Compute Density from AI-Intensive Data Center Workloads
AI and data-intensive workloads are pushing the performance limits of modular server infrastructure. In the past, traditional blade configurations were built for CPU virtualization and centralized enterprise applications. Now, modern deployments demand more memory bandwidth, better accelerator connections, faster storage, and stronger cooling capabilities-all within rack space. Cisco's launch of the UCS X210c M8 in February 2025 shows this shift. The new modular compute node can support up to 86 cores per processor and includes PCIe-based GPU expansion. This change is important because blade platforms must maintain their density and simple management benefits while handling workloads that used to run on specialized rack systems. As a result, vendors are focusing on accelerator compatibility and higher compute density rather than just increasing CPU numbers.
The Global Data Center Blade Server Market is segmented on the basis of Tier Type, Application, Form Factor, Data Center Type, End User, and Region.
By tier type, the tier classification mainly affects the reliability environment where blade infrastructure runs, not the blade server design itself. Tier 1 and Tier 2 facilities can support servers where downtime is less critical, and infrastructure redundancy is strict. In contrast, Tier 3 environments require systems that can be maintained without disruption, with power, cooling, and supporting systems designed to operate. Tier 4 facilities have demands for fault tolerance, meaning chassis redundancy, hot-swappable parts, centralized management, and serviceability are essential. The difference matters in practice because blade systems share infrastructure across compute nodes. A failure at the chassis level can disrupt workloads at once. HPE's Synergy 480 Gen12, part of its 2025 support ecosystem, supports up to 4 TB of DDR5 memory per processor, showing how high-density modules are built for always-on environments.
By application, the type of application shapes how well blade architecture's shared infrastructure can deliver computing power. Virtualization and private-cloud setups benefit from resource allocation and composability. AI/ML and analytics workloads need memory, accelerators, fast I/O, and good thermal performance. HPC systems rely on connected compute resources, while storage-heavy tasks depend more on direct NVMe access and data movement. Edge and IoT deployments bring challenges like space and the need for simple operations. Cisco's 2025 X210c M8 documentation lists HCI, AI, databases, and backup/disaster recovery as supported workloads and allows for up to nine E3.S NVMe drives. This shows how modular servers are moving beyond virtualization to support a range of mixed compute and data-intensive tasks.
Data Center Blade Server Market- Geographical Insights
Asia-Pacific is very important because significant digital infrastructure, extensive cloud expansion, and factories that process data are establishing numerous server setups in China, Japan, South Korea, Singapore, and India. The Ministry of Industry and Information Technology in China stated that more than 9 million standard racks were being used in computing centers by March 2025. This kind of infrastructure creates a strong setup where server chassis can assist with managing things better by using space more efficiently and allowing easier hardware maintenance. The needs in the region vary greatly between data centers and smaller company setups, prompting companies to offer systems that can work with virtualization, data analysis, and faster computing within standard setups. Asia-Pacific is crucial because it boasts a vast amount of digital infrastructure and a wide range of tasks that require different levels of computing power.
North America is significant not only because of the number of racks already in place but also because new data centers are quickly transforming into high-density computing areas. CBRE reported that there were 8,155 MW of data-center space in the first half of 2025, with available space dropping to 1.6 percent, largely due to demand from big companies and AI users. This situation is favorable for servers that can be deployed quickly and adjusted as workloads change. Blade and modular designs can facilitate this by sharing power, networking, management, and cooling components. AI-heavy setups often require more powerful accelerators and better cooling than regular servers. North America's role in the market is associated with creating high-density buildings where the ability to adapt and increase computing power per rack is critical.
Competition is becoming more about how vendors combine modular density with the flexibility that typically accompanies rack-based systems. Dell offers the PowerEdge MX760c, which is built around compute, storage, and networking generations. HPE focuses on infrastructure using Synergy. Cisco integrates compute with UCS Intersight management. Cisco's 2025 X210c M8 provides up to 8 TB of DDR5 memory, PCIe Gen5 connections, and the ability to add up to four GPUs through the X-Fabric architecture. HPE stands out with software-defined provisioning and shared infrastructure, while Dell emphasizes chassis scalability and serviceability. The competition is now moving beyond how much processing power can be packed into a single unit. Now it's about expanding accelerators, memory size, storage options, managing the lifecycle of the system, and being able to handle workloads without having to change the main chassis.
In February 2025, Cisco presented the UCS X210c M8 Compute Node as an addition to its next - generation UCS lineup. Cisco stated the UCS X210c M8 Compute Node can support up to 86 cores for each processor, and the UCS X210c M8 Compute Node has two processor sockets.
In May 2025, HPE published the Synergy 480 Gen12 Compute Module guide. The Synergy 480 Gen12 Compute Module can hold up to 16 DIMMs, 4 TB of DDR5 memory for each processor, and it uses Intel Xeon 6 processors.