Rugged Servers Market Analysis, Analysis Forecast Industry Report 2020-2030.

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Rugged Servers Market Research Report: By Component (Hardware, Software, Services), Type (Dedicated, Standard), Capacity (256 GB, 256GB-512GB, 512GB-1TB, 1TB), Application (Military & Defense, Industrial, IT & Telecommunication, Aerospace, Energy & Power, Others) and Region (No

Rugged Servers Market Analysis

Market Research Future (MRFR) projects the global rugged servers market to reach USD 656.2 Million, registering a CAGR of 6.7% from 2020–2026 (forecast period).

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Several Factors Contributing to Market Growth

Rugged servers are built to withstand extreme environments and conditions. Rugged servers are used by the military, industrial, and commercial professionals to provide high-performance computing and high-capacity data storage in a rugged, all-aluminum package that can resist some of the harshest terrains and applications. Rugged servers are typically intended for usage in manufacturing or production-related applications. This could range from a factory computer that aids in the separation of products on an assembly line to any variety of initiatives related to the medical, telecommunications, or aviation industries. Rising adoption of industrial IoT, as well as increased demand for rugged servers by the military, industrial, and power sectors, are some of the factors supporting the growth of the Rugged Servers Market throughout the forecast period. The Rugged Servers Market has gained traction as a result of a considerable movement in manufacturing industries toward digitization.

Market Segmentation

The global rugged servers market has been segmented based on component, type, capacity, and application.

By component, the global rugged servers market has been segmented into hardware, software, and services.

By type, the global rugged servers market has been segmented into dedicated and standard.

By capacity, the global rugged servers market has been segmented into 256 GB, 256GB-512GB, 512GB-1TB, and 1TB.

By application, the global rugged servers market has been segmented into military defense, industrial, IT telecommunication, aerospace, energy power, and others.

Regional Analysis

North America to Lead the Global Market

North America led the global market in 2019 and is likely to continue to do so throughout the forecast period. The growing demand for smart energy solutions, combined with the influx of industrial IoT in this region, is projected to propel the market in this region.

Key Players

MRFR recognizes the key players in the global rugged servers market. These include Dell Technologies (US), Mercury Systems (US), Siemens AG (Germany), Core Systems (Switzerland), Crystal Group (Hong Kong), CP Technologies (US), Symmatrix (Singapore), Systel (US), Trenton Systems (Georgia), ACME Portable Machines (US), Amity Technologies (India), Beltronic IPC AG (Switzerland), Elma Electronic (Switzerland), General Micro Systems (US), Getac (Taiwan), Kontron ST (Germany), MPL AG (Switzerland), NCS Technologies, Inc. (US), One Stop Systems (US), Portwell, Inc. (Taiwan), Superlogics (US), TP Group PLC (UK), Trans Pacific Technologies, Inc. (US), and ZMicro (US).

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Industry News

In February 2021, Crystal Group, Inc. created autonomous vehicle (AV) compute systems for industrial and military applications. The servers are designed to withstand the harsh and unpredictable operating conditions found in edge environments, delivering the critical combination of robust computing power and hardened physical assets.

In February 2021, Tyto Athene, LLC collaborated with Tellabs, a renowned provider of Passive Optical Network (PON) technologies, to develop the ACUITY LAN Solution. The ACUITY LAN is a two-person carry edge solution that uses Tellabs OLAN to assure network readiness. ACUITY LAN offers a network that is simple to transport, set up, tear down, power on, and deliver a wide range of services.

In January 2021, Trenton Systems and NGD Systems announced a collaboration to produce ruggedized, high-capacity computational storage drives (CSDs) that provide a considerable performance improvement to real-time, mission-critical artificial intelligence (AI) and machine learning (ML) systems at the edge.

 

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