North America Micro Data Center Market
North America Micro Data Center Market is growing at a CAGR of 13.6% to reach US$ 4,062.68 million by 2030 from US$ 1,468.55 million in 2022 by Rack Type, Organization Size, and End User.

Published On: Feb 2024

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North America Micro Data Center Market

At 13.6% CAGR, the North America Micro Data Center Market is projected to be worth US$ 4,062.68 million by 2030, says Business Market Insights

According to Business Market Insights research, the North America micro data center market was valued at US$ 1,468.55 in 2022 and is expected to reach US$ 4,062.68 million by 2030, registering a CAGR of 13.6% from 2022 to 2030. Advent of IoT, Big Data, Machine Learning, and AI and increasing proliferation of cloud-based services are among the critical factors attributed to the North America micro data center market expansion.

The Internet of Things (IoT), big data, machine learning, and artificial intelligence (AI) are a few technologies that generate huge volumes of data, require low latency processing, and demand localized computing resources. IoT devices are widely used, connecting various physical objects and enabling data collection and communication. Micro data centers positioned at the edge of the network can provide local computing power, storage, and analytics capabilities, which reduce the latency and bandwidth requirements of transmitting data to a centralized data center. Micro data centers enable real-time decision-making and facilitate IoT deployments across the manufacturing, healthcare, transportation, and smart city industries. Further, processing and analyzing such massive datasets require significant computational power and storage capabilities. Micro data centers offer a scalable and distributed architecture, allowing organizations to process and analyze big data locally, closer to the data source. Micro data centers enhance data processing efficiency and enable real-time analytics by reducing the data transfer time and network congestion associated with transmitting large datasets to a central data center. Also, machine learning and AI algorithms require substantial computational resources for training and inference tasks. Micro data centers provide the necessary processing power and storage capabilities to perform these resource-intensive tasks closer to the data source. Organizations can reduce the latency and response time associated with transmitting data to a centralized data center or the cloud by deploying micro data centers at the edge. This enables real-time decision-making, enhances AI-driven applications, and supports use cases such as autonomous vehicles, intelligent video analytics, predictive maintenance, and personalized recommendations. Hence, the adoption of micro data centers is growing, which is leading to a rise in the launch of advanced micro data centers. For instance, in March 2023, STULZ GMBH launched STULZ Micro DC-a single rack, all-in-one micro data center solution that combines power protection and distribution, cooling, monitoring, and management with fire protection and security. The aim of the launch was to maximize the potential of Industry 4.0 and the industrial Internet of Things (IIoT). In addition, in May 2021, Schneider Electric launched a 43U micro data center cabinet to provide standalone Edge IT capacity in offices and warehouses. Therefore, the advent of various technologies, such as the Internet of Things (IoT), machine learning, big data, and artificial intelligence (AI), is boosting the North America micro data center market.

On the contrary, lack of awareness about benefits of micro data centers hampers the growth North America micro data center market.

Based on rack type, the North America micro data center market is bifurcated into single rack and multi rack. The single rack segment held 59.0% share of the North America micro data center market in 2022, amassing US$ 866.40 million. It is projected to garner US$ 2,481.78 million by 2030 to expand at 14.1% CAGR during 2022-2030.

Based on organization size, the North America micro data center market is bifurcated into large enterprises, and SMEs. The large enterprises segment held 64.5% share of the North America micro data center market in 2022, amassing US$ 947.39 million. It is projected to garner US$ 2,517.84 million by 2030 to expand at 13.0% CAGR during 2022-2030.

Based on end user, the North America micro data center market is segmented into BFSI, retail, IT and Telecom, manufacturing, healthcare, and others. The IT and telecom segment held 37.5% share of North America micro data center market in 2022, amassing US$ 551.17 million. It is projected to garner US$ 1,649.63 million by 2030 to expand at 14.7% CAGR during 2022-2030.

Based on country, the North America micro data center market is segmented into US, Canada, and Mexico. The US held 89.3% share of North America micro data center market in 2022, amassing US$ 1,311.71 million. It is projected to garner US$ 3,612.53 million by 2030 to expand at 13.5% CAGR during 2022-2030.

Key players operating in the North America micro data center market are Hitachi Ltd, Rittal GmbH & Co KG, Legrand SA, Schneider Electric SE, Vertiv Group Corp, Eaton Corp Plc, Hewlett Packard Enterprise Development LP, Delta Electronics Inc, and Huawei Technologies Co Ltd, among others.

  • In Oct 2021, Schneider Electric, the leader in the digital transformation of energy management and automation, announced it had expanded its Micro Data Center solutions portfolio with the introduction of the Easy Micro Data Center Series for standard IT and commercial environments.

 

  • In Mar 2020, Hewlett Packard Enterprise (HPE) announced the availability of HPE Container Platform. The HPE Container Platform is the industry's first enterprise-grade container platform designed to support both cloud-native and non-cloud-native applications using 100 percent open-source Kubernetes - running on bare-metal or virtual machines (VMs), in the data center, on any public cloud, or at the Edge. In addition, HPE is introducing new professional services to ensure faster time-to-value and several new reference configurations for data-intensive application workloads such as AI, machine learning, deep learning (DL), data analytics, edge computing, and the Internet of Things (IoT). Contact Us
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