How has the data center blade server market evolved, and where is it heading next?
The data center blade server market size has grown strongly in recent years. It will grow from $18 billion in 2024 to $19.75 billion in 2025 at a compound annual growth rate (CAGR) of 9.8%. The growth in the historic period can be attributed to the digitization of consumer health records in the form of electronic medical records (EMR), lower power consumption, increased productivity of the existing infrastructure, flexibility in configuration, and virtualization adoption.
The data center blade server market size is expected to see strong growth in the next few years. It will grow to $28.27 billion in 2029 at a compound annual growth rate (CAGR) of 9.4%. The growth in the forecast period can be attributed to edge computing expansion, 5G network rollout, AI and machine learning integration, evolving security requirements, and increased remote work. Major trends in the forecast period include technological advances, 5G-ready Infrastructure, energy-efficient solutions, flexible and modular designs, and increasing acquisitions.
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How have varous drivers impacted the growth of the data center blade server market?
The increasing adoption of IoT is expected to propel the data center blade server market going forward. IoT (Internet of Things) refers to the interconnected network of physical devices, vehicles, appliances, and other objects embedded with sensors, software, and network connectivity, enabling them to collect and exchange data. The increasing adoption of IoT is driven by its ability to enhance efficiency, improve customer experiences, leverage advanced technologies In data center blade servers, IoT is utilized to monitor and manage server performance, energy consumption, and security, optimize overall operational efficiency, and contribute to smart and automated data center environments. For instance, in January 2022, data from the GSM Association, a UK-based non-profit industry organization, predicted that the number of IoT connections globally is expected to exceed 23.3 billion by 2025, a significant rise from the 15.1 billion connections that were registered in 2021. Therefore, the increasing adoption of IoT is driving the growth of the data center blade server market.
What are the primary segments of the data center blade server market?
The data center blade server market covered in this report is segmented –
1) By Type: Tier 1, Tier 2, Tier 3, Tier 4
2) By Enterprise Size: Large Enterprises, Smal And Medium Enterprises
3) By End User: Banking, Financial Services And Insurance (BFSI), IT and Telecom, Manufacturing, Healthcare, Energy and Utility, Other End Users
Subsegments:
1) By Tier 1: Entry-Level Blade Servers, Basic Configuration Blade Servers, Small to Medium Business (Smb) Blade Servers, Low-Cost Blade Servers, Single Processor Blade Servers
2) By Tier 2: Mid-Level Blade Servers, Balanced Performance Blade Servers, Dual Processor Blade Servers, Blade Servers for Business Applications, Mid-Range Storage and Processing Blade Servers
3) By Tier 3: High-Performance Blade Servers, Advanced Configuration Blade Servers, Blade Servers for Virtualization and Cloud Computing, High-Capacity Memory Blade Servers, Blade Servers with Enhanced Security Features
4) By Tier 4: Enterprise-Class Blade Servers, Ultra-High-Performance Blade Servers, Mission-Critical Blade Servers, High Availability and Redundancy Blade Servers, Blade Servers for Data Centers with Demanding Applications, Top-Tier Blade Servers with Advanced Cooling and Power Management
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Which firms are leading the data center blade server market?
Major companies operating in the data center blade server market are Dell Inc., Huawei Technologies Co. Ltd., Lenovo, Intel Corporation, Cisco Systems Inc., Oracle Corporation, Quanta Computer, Fujitsu Limited, Hewlett Packard Enterprise Development LP, NVIDIA Corporation, NEC Corporation, AMD (Advanced Micro Devices), Inventec Corporation, ASUS, Bull Atos Technologies, Atos SE, Wiwynn Corporation, Super Micro Computer, Inc., Arm Ltd., Hitachi Vantara Corporation, Inspur Software Co. Ltd., Sugon, MSI (Micro-Star International), TYAN Computer Corporation, ASRock Rack, ZT Systems
How will industry trends affect the trajectory of the data center blade server market?
Major companies operating in the data center blade server market are focused on developing innovative server solutions, such as arm-based grace servers, to strengthen their position in the market. The ARM-based Grace servers are a new line of high-performance computing (HPC) servers. For instance, in May 2022, Nvidia, a US-based software company, launched Grace’s CPU-powered system. This system includes the NVIDIA Grace CPU Superchip, which is made up of two CPU chips connected cohesively via NVLink-C2C, a high-speed, low-latency chip-to-chip connection. NVIDIA’s inaugural data center CPU, the Grace CPU Superchip, integrates 72 high-performance Arm v9 cores within a system-on-chip (SoC) framework. This pioneering architecture amalgamates NVIDIA’s Arm processor proficiency and on-chip fabrics to amplify performance and efficiency in data center functionalities.
Which geographic trends are shaping the data center blade server market, and which region has the highest market share?
North America was the largest region in the data center blade server market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data center blade server market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
What Does The Data Center Blade Server Market Report 2025 Offer?
The data center blade server market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Data center blade servers are modular servers designed for data centers, offering high computing density, business optimization, and virtualization capabilities. These thin, hot-swappable servers offer high-density and shared resources within a common chassis, enhancing efficiency and scalability in large-scale data environments.
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