Global Micro Mobile Data Center Market
The Global Micro Mobile Data Center Market size was valued at
USD 3.43 Billion in 2021, and it is expected to reach a value of USD 9.94
Billion by 2028, at a CAGR of 16.40% over the forecast period (2022 - 2028).
The micro mobile data center is a
self-contained infrastructure design created by integrating the storage,
processing, and networking units required to operate indoor and outdoor
applications in a secure computing environment. Micro mobile data centers are
available in standardized prefabricated sizes, allowing data center operators
to save capital and time when erecting data centers the traditional way. Micro
mobile data centers are suited for usage in applications such as instant data
centers, remote office and branch offices, and edge computing because to their
small size and flexibility. The growing demand for high-performance,
energy-efficient, and cost-effective data center solutions is a primary growth
driver in the micro mobile data center market.
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Top Players Company Profiles
- Eaton
(Ireland)
- Huawei
(China)
- IBM
(US)
- Rittal
(Germany)
- Panduit
(US)
- STULZ
(Germany)
- Delta
Electronics (Taiwan)
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Global Micro Mobile Data Center
Market SkyQuest Analysis
SkyQuest’s
ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our
Business Information Services team that Collects, Collates, Co-relates and
Analyses the Data collected by means of Primary Exploratory Research backed by
the robust Secondary Desk research.
During the
forecast period, the edge computing application is expected to grow at the
fastest rate. Edge computing and micro mobile data centers are becoming more
abundant and profitable as the demand for immediate access to data anytime and
anywhere grows. In most firms, cost is a crucial consideration. Traditional
data centers and server closets have large upfront costs, whereas micro mobile
data centers are less expensive and take up less space. Connecting billions of
devices to the cloud brings with it a slew of issues, including bandwidth
constraints, data security problems, and restricted communication between
computing infrastructure. Because the physical infrastructure is closer to the
source data, edge computing has the ability to avoid such problems.
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