Report ID: UCMIG45I2077
Report ID:
UCMIG45I2077 |
Region:
Global |
Published Date: Upcoming |
Pages:
165
| Tables: 55 | Figures: 60
In 2017, the global market size of white box servers was valued at USD 5.61 billion, and it is predicted to grow at a compound annual growth rate (CAGR) of 22.0% during the forecast period. A white box server is a customized server that can be built by using either off-the-shelf components or unbranded or generic computer products provided by original design manufacturers (ODMs). With the increase in data volume and digitization, there is a growing need for data centers. As a result, the demand for low-cost servers, higher uptime, and more flexibility and customization in hardware design is expected to drive the market growth.
This report is being written to illustrate the market opportunity by region and by segments, indicating opportunity areas for the vendors to tap upon. To estimate the opportunity, it was very important to understand the current market scenario and the way it will grow in future.
Production and consumption patterns are being carefully compared to forecast the market. Other factors considered to forecast the market are the growth of the adjacent market, revenue growth of the key market vendors, scenario-based analysis, and market segment growth.
The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived the Technology Hardware, Storage & Peripherals by segment aggregation, the contribution of the Technology Hardware, Storage & Peripherals in Technology Hardware & Equipment and vendor share.
To determine the growth of the market factors such as drivers, trends, restraints, and opportunities were identified, and the impact of these factors was analyzed to determine the market growth. To understand the market growth in detail, we have analyzed the year-on-year growth of the market. Also, historic growth rates were compared to determine growth patterns.
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Report ID: UCMIG45I2077