Data Center Blade Server Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The data center blade server market size has grown strongly in recent years. It will grow from $6.46 billion in 2023 to $18 billion in 2024 at a compound annual growth rate (CAGR) of 9.3%. 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 $25.87 billion in 2028 at a compound annual growth rate (CAGR) of 9.5%. 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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Scope Of Data Center Blade Server Market
The Business Research Company’s reports encompass a wide range of information, including:
Data Center Blade Server Market Overview
Market Drivers –
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.
Rising Data Traffic Boost The Market Growth
The increasing data traffic is expected to boost the growth of the data center blade server market going forward. Data traffic refers to the movement of digital data packets across a computer network or the internet. Data center blade servers play a crucial role in managing increasing data traffic demand by providing efficient, scalable, and highly integrated computing infrastructure. With their high-density design, modular scalability, integrated networking and management features, blade servers are designed to maximize computing density within data center racks. For instance, in 2021, according to the World Bank, a US-based financial institution, the total global internet traffic increased by about 50% 2022 from 2020 levels, reaching 4.8 zettabytes, equal to 150,000 GB per second. Therefore, increasing data traffic is driving the growth of the data center blade server market.
Market Trends –
Major companies operating in the contract management software market are focusing on developing artificial intelligence (AI)-powered contract management software, such as Catalyst for Contracts, to gain a competitive edge in the market. The catalyst for Contracts is software that leverages AI technologies to automate various aspects of contract lifecycle management, from drafting and reviewing to analyzing and managing contracts. For instance, in November 2023, Onit Inc., a US-based software company, launched Catalyst for Contracts. This generative AI-powered contract management software aims to enhance pre- and post-signature contract activities. This software uses generative AI and large language models (LLMs) to improve contract review, compliance confirmation, and issue resolution. The catalyst for Contracts empowers users to interact with contracts dynamically, providing a technological edge that boosts productivity and decision-making for contract teams.
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
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Regional Insights –
North America was the largest region in the data center blade server market in 2023. 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.
Key Companies –
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
Table of Contents
1. Executive Summary
2. Data Center Blade Server Market Report Structure
3. Data Center Blade Server Market Trends And Strategies
4. Data Center Blade Server Market – Macro Economic Scenario
5. Data Center Blade Server Market Size And Growth
…..
27. Data Center Blade Server Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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