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Global Edge Data Center Market – Industry Analysis, Market Trends, Market Growth, Opportunities and Forecast 2028 | Growth Market Reports

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The Mexico Edge Data Center Market was valued at USD 97.0 million in 2019 and is projected to reach USD 311.4 million by 2027, expanding at a CAGR of 16.5% during the forecast period. Edge data centers are generally referred to as smaller facilities that are located near the population it serves. These data centers help in extending the edge of the network, delivering resources for cloud computing, and caching the streaming content to local users by typically connecting to multiple or a larger data center. Edge computing helps organizations to reduce latency and enhance customer engagement by processing data and information as close to the end-user as possible.

Market Dynamics

The introduction of IoT is the major driving factor of the edge data centers in Mexico. Since the number of installations of IoT sensors and devices have increased in several home and industrial settings in the country, a low latency edge processing is crucial in order to handle an increased volume of data which results in the rising demand for edge data centers. Few restraints for this market are cybersecurity to act in Mexico which consider to be one of the major hindrances for the growth of the market. Also, the introduction of 5G network promises to offer increased speed and capacity, reduced latency which is less than one millisecond, as well as improved user interface. It is imperative for the edge data centers to host and stream data at a substantially higher speed, volume, and lower latency for the enhance usage of the 5G networks, ultimately resulting in the expansion of the edge data centers in the market which is consider to be key opportunity propelling the growth of the market.

Segmental Outlook

 On the basis of types, the market has been divided into solution and service. The solution segment is sub-segmented into cooling, power, IT racks & enclosures, networking equipment, DCIM and the service segment is sub-segmented into installation & integration, managed, consulting. In this segment, DCIM is expected to grow at a significant rate during the forecast timeline. The use of DCIM growing as it enables monitoring and automation of the IT room and environmental control, security, and facility power. Moreover, it also delivers user-configurable thresholds for alarms on devices such as heat, ventilation, and air conditioning and it ensures the proper functioning of data centers.

Based on applications, the Mexico Edge Data Center market has segmented into BFSI, colocation, energy, government, healthcare, manufacturing, IT & telecom, and others. In terms of revenue, colocation is expected to hold a significant market share in 2019, as it provides core expertise in edge data center operation and provides quick deployment capacity. Companies in the colocation industry are focusing to provide robust solutions for managing the massive data which is generated by several application industries. Hence, it is boosting the revenue of the edge data center market.

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Competitive Landscape

  • Key players in the Mexico edge data center market Hewlett Packard Enterprise Development LP, Huawei Technologies Co., Ltd., Kio Networks, Schneider Electric SE, and Vertiv Group Corp. These companies are considered as key manufacturers of Mexico edge data center, based on their revenue, research & development activities, regional presence, and supply chain management system.
  • The players are adopting key strategies such as acquisition, and geographical expansion where potential opportunity for the Mexico edge data center extraction is added in the company’s capacity.
  • For instance, HostDime Global Corp. started building tier IV data center of 65,000 sq. feet in Bogota, Columbia. The data center is expected to be completed in December of 2020 and commissioned for production in early 2021.
  •  Huawei Technologies Co., Ltd. announced smart data centre building service which will help design, build, and operate efficient facilities, which use AI to reduce power usage effectiveness (PUE) by up to 15 percent.

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