데이터센터 블레이드 서버 시장 규모, 점유율, 동향 분석 보고서 : 폼 팩터별, 채널별, 최종 용도별, 지역별, 부문 예측(2025-2030년)

Data Center Blade Server Market Trends:

The global data center blade server market size was estimated at USD 19.26 billion in 2024 and is anticipated to grow at a CAGR of 9.1% from 2025 to 2030. The growth of the market is driven by increasing demand for high-density, energy-efficient computing solutions to support evolving enterprise IT and cloud infrastructure needs. Organizations prioritize modular server architectures to enhance scalability, optimize space utilization, and reduce power consumption, making blade servers a preferred choice. In addition, the rising adoption of artificial intelligence (AI), big data analytics, and virtualization technologies is accelerating the deployment of high-performance computing environments, further fueling market expansion. The shift toward hybrid and multi-cloud strategies also increases the demand for blade servers as businesses seek flexible, cost-effective solutions to manage diverse workloads.

Furthermore, advancements in server management software and automation tools improve operational efficiency and minimize downtime, making blade server deployments more attractive. Regulatory requirements for data security and sustainability further influence investments in energy-efficient blade server solutions, reinforcing their role in modern data center infrastructures.

The increasing demand for high-density and energy-efficient computing solutions is a key driver of the data center blade server industry. As enterprises and cloud service providers seek to maximize computing power while minimizing physical space requirements, blade servers offer a compact, modular architecture that optimizes space utilization. Their shared power and cooling infrastructure significantly reduces energy consumption compared to traditional rack-mounted servers, aligning with sustainability goals and cost-saving initiatives.

Another major factor is the growing adoption of artificial intelligence (AI), big data analytics, and virtualization technologies. Organizations increasingly deploy AI-driven applications and large-scale data processing workloads that require high-performance computing infrastructure. Blade servers, with their ability to support powerful processors, large memory capacities, and high-speed interconnects, are well-suited for these demanding applications. In addition, the widespread use of virtualization in enterprise IT environments enhances the efficiency of blade servers by enabling resource consolidation and workload optimization.

The shift toward hybrid and multi-cloud strategies is also accelerating market growth. Businesses are moving towards flexible IT architectures integrating on-premise infrastructure with public and private cloud environments. Blade servers offer seamless integration capabilities, making them an ideal choice for companies implementing hybrid cloud solutions. Their ability to support software-defined networking (SDN) and hyper-converged infrastructure (HCI) further enhances their appeal in modern cloud-centric environments.

Advancements in server management software and automation tools improve operational efficiency and reduce downtime, further driving adoption. Blade servers come equipped with integrated management solutions that allow IT teams to monitor, configure, and maintain hardware remotely. Automated provisioning, predictive analytics, and AI-driven system optimization reduce manual intervention, ensuring seamless operation while lowering maintenance costs. These features make blade servers an attractive option for enterprises aiming to enhance IT agility and reliability.

Global Data Center Blade Server Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global data center blade server market report based on form factor, channel, application, end-use, and region.

• Form Factor Outlook (Revenue, USD Billion, 2018 - 2030)
• Half-height Blade Server
• Full-height Blade Server
• Quarter-height Blade Server
• Channel Outlook (Revenue, USD Billion, 2018 - 2030)
• Direct
• Reseller
• Systems Integrator
• Others
• Application Outlook (Revenue, USD Billion, 2018 - 2030)
• Virtualization and Cloud Computing
• High-performance Computing (HPC)
• Storage and Backup
• Web Hosting
• Database Management
• AI and Machine Learning Workloads
• End-use Outlook (Revenue, USD Billion, 2018 - 2030)
• BFSI
• Healthcare
• Energy
• IT & Telecom
• Government & Defense
• Others
• Regional Outlook (Revenue, USD Billion, 2018 - 2030)
• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Latin America
  • Brazil
• Middle East & Africa
  • U.A.E
  • Saudi Arabia
  • South Africa

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Research Methodology
  • 1.2.1. Information Procurement
• 1.3. Information or Data Analysis
• 1.4. Methodology
• 1.5. Research Scope and Assumptions
• 1.6. Market Formulation & Validation
• 1.7. Country Based Segment Share Calculation
• 1.8. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. Data Center Blade Server Market Variables, Trends, & Scope

• 3.1. Market Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Driver Analysis
  • 3.2.2. Market Restraint Analysis
  • 3.2.3. Industry Challenge
• 3.3. Data Center Blade Server Market Analysis Tools
  • 3.3.1. Industry Analysis - Porter's
    • 3.3.1.1. Bargaining power of the suppliers
    • 3.3.1.2. Bargaining power of the buyers
    • 3.3.1.3. Threats of substitution
    • 3.3.1.4. Threats from new entrants
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Economic and social landscape
    • 3.3.2.3. Technological landscape
• 3.4. Pain Point Analysis

Chapter 4. Data Center Blade Server Market: Form Factor Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. Data Center Blade Server Market: Form Factor Movement Analysis, 2024 & 2030 (USD Billion)
• 4.3. Half-height Blade Server
  • 4.3.1. Half-height Blade Server Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 4.4. Full-height Blade Server
  • 4.4.1. Full-height Blade Server Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 4.5. Quarter-height Blade Server
  • 4.5.1. Quarter-height Blade Server Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)

Chapter 5. Data Center Blade Server Market: Channel Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. Data Center Blade Server Market: Channel Movement Analysis, 2024 & 2030 (USD Billion)
• 5.3. Reseller
  • 5.3.1. Direct Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 5.4. Direct
  • 5.4.1. Direct Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 5.5. Systems Integrator
  • 5.5.1. Systems Integrator Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 5.6. Others
  • 5.6.1. Others Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)

Chapter 6. Data Center Blade Server Market: Application Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. Data Center Blade Server Market: Application Movement Analysis, 2024 & 2030 (USD Billion)
• 6.3. Virtualization and Cloud Computing
  • 6.3.1. Virtualization and Cloud Computing Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 6.4. High-Performance Computing (HPC)
  • 6.4.1. High-Performance Computing (HPC) Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 6.5. Storage and Backup
  • 6.5.1. Storage and Backup Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 6.6. Web Hosting
  • 6.6.1. Web Hosting Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 6.7. Database Management
  • 6.7.1. Database Management Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 6.8. AI and Machine Learning Workloads
  • 6.8.1. AI and Machine Learning Workloads Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)

Chapter 7. Data Center Blade Server Market: End Use Estimates & Trend Analysis

• 7.1. Segment Dashboard
• 7.2. Data Center Blade Server Market: End Use Movement Analysis, 2024 & 2030 (USD Billion)
• 7.3. IT & Telecom
  • 7.3.1. IT & Telecom Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 7.4. BFSI
  • 7.4.1. BFSI Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 7.5. Energy
  • 7.5.1. Energy Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 7.6. Healthcare
  • 7.6.1. Healthcare Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 7.7. Government & Defense
  • 7.7.1. Government & Defense Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 7.8. Others
  • 7.8.1. Others Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)

Chapter 8. Data Center Blade Server Market: Regional Estimates & Trend Analysis

• 8.1. Data Center Blade Server Market Share, By Region, 2024 & 2030, USD Billion
• 8.2. North America
  • 8.2.1. North America Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.2.2. U.S.
    • 8.2.2.1. U.S. Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.2.3. Canada
    • 8.2.3.1. Canada Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.2.4. Mexico
    • 8.2.4.1. Mexico Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 8.3. Europe
  • 8.3.1. Europe Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.3.2. UK
    • 8.3.2.1. UK Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.3.3. Germany
    • 8.3.3.1. Germany Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.3.4. France
    • 8.3.4.1. France Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 8.4. Asia Pacific
  • 8.4.1. Asia Pacific Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.4.2. China
    • 8.4.2.1. China Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.4.3. Japan
    • 8.4.3.1. Japan Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.4.4. India
    • 8.4.4.1. India Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.4.5. South Korea
    • 8.4.5.1. South Korea Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.4.6. Australia
    • 8.4.6.1. Australia Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 8.5. Latin America
  • 8.5.1. Latin America Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.5.2. Brazil
    • 8.5.2.1. Brazil Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
• 8.6. Middle East and Africa
  • 8.6.1. Middle East and Africa Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.6.2. UAE
    • 8.6.2.1. UAE Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.6.3. KSA
    • 8.6.3.1. KSA Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 8.6.4. South Africa
    • 8.6.4.1. South Africa Data Center Blade Server Market Estimates and Forecasts, 2018 - 2030 (USD Billion)

Chapter 9. Competitive Landscape

• 9.1. Company Categorization
• 9.2. Market Share/Ranking Analysis
• 9.3. Company Heat Map Analysis
• 9.4. Company Profiles/Listing
  • 9.4.1. Cisco Systems, Inc.
    • 9.4.1.1. Participant's Overview
    • 9.4.1.2. Financial Performance
    • 9.4.1.3. Product Benchmarking
    • 9.4.1.4. Strategic Initiatives
  • 9.4.2. Dell Inc.
    • 9.4.2.1. Participant's Overview
    • 9.4.2.2. Financial Performance
    • 9.4.2.3. Product Benchmarking
    • 9.4.2.4. Strategic Initiatives
  • 9.4.3. FUJITSU
    • 9.4.3.1. Participant's Overview
    • 9.4.3.2. Financial Performance
    • 9.4.3.3. Product Benchmarking
    • 9.4.3.4. Strategic Initiatives
  • 9.4.4. Hewlett Packard Enterprise Development LP
    • 9.4.4.1. Participant's Overview
    • 9.4.4.2. Financial Performance
    • 9.4.4.3. Product Benchmarking
    • 9.4.4.4. Strategic Initiatives
  • 9.4.5. Huawei
    • 9.4.5.1. Participant's Overview
    • 9.4.5.2. Financial Performance
    • 9.4.5.3. Product Benchmarking
    • 9.4.5.4. Strategic Initiatives
  • 9.4.6. IBM
    • 9.4.6.1. Participant's Overview
    • 9.4.6.2. Financial Performance
    • 9.4.6.3. Product Benchmarking
    • 9.4.6.4. Strategic Initiatives
  • 9.4.7. INSPUR Co., Ltd.
    • 9.4.7.1. Participant's Overview
    • 9.4.7.2. Financial Performance
    • 9.4.7.3. Product Benchmarking
    • 9.4.7.4. Strategic Initiatives
  • 9.4.8. Lenovo
    • 9.4.8.1. Participant's Overview
    • 9.4.8.2. Financial Performance
    • 9.4.8.3. Product Benchmarking
    • 9.4.8.4. Strategic Initiatives
  • 9.4.9. Oracle Corporation
    • 9.4.9.1. Participant's Overview
    • 9.4.9.2. Financial Performance
    • 9.4.9.3. Product Benchmarking
    • 9.4.9.4. Strategic Initiatives
  • 9.4.10. Super Micro Computer, Inc.
    • 9.4.10.1. Participant's Overview
    • 9.4.10.2. Financial Performance
    • 9.4.10.3. Product Benchmarking
    • 9.4.10.4. Strategic Initiatives