The edge data center market is expected to witness substantial expansion with an estimated Compound Annual Growth Rate (CAGR) of 22% forecasted for the period between 2023 and 2031.
This surge can be attributed to the rising need for low-latency data processing and storage solutions, according to ResearchAndMarkets. These centers are situated in close proximity to end-users, enabling faster data processing and decreased network congestion.
Across the Asia-Pacific region, specifically in China, Japan, and India, key factors fueling the demand for edge data centers include population growth, the upward trend in smartphone utilization, and the push toward smart cities. The escalating adoption of cloud services and the expansion of e-commerce are also contributing factors to the burgeoning market landscape in the Asia-Pacific region. The key players mentioned in the report include Schneider Electric SE, Vertiv Co, Hewlett Packard Enterprise Development LP, Huawei Technologies Co., Ltd. and IBM Corporation.
In India, Varanium Cloud, an Indian digital technology company, announced in February the launch of its second Edge Data Centre in Kudal, Sindhudurg, Maharashtra, India, under its brand Hydra. The Edge Data Center, according to the company, is housed inside a shipping container, increasing accessibility while enabling effective data sharing and communication even in the most remote areas of the country. It is made to be small and portable, making it simple to carry to any location in the country.
Typically favoured by telecom companies for their latency abilities with end users, edge data centers have also become integral to a number of other sectors. In the healthcare industry, certain medical equipment, especially those remotely powered or backed by A.I, require as minimal latency as possible, and edge facilities provide the network consistency needed.
IoT devices, which are hardware that are programmed for certain applications and transmit data, are also active subscribers, specifically in scenarios where time is crucial. Even in manufacturing where predictive maintenance is present, edge facilities assist in efficiency during inventory management.
