Edge Data Center Market Analysis

Organization (Large Enterprise, SMEs)

The global edge data center market is segmented and analyzed for demand and supply by organization into large enterprise, and SMEs. Out of which, the SMEs segment is anticipated to garner the highest revenue by the end of 2037. The growth of the segment can be attributed to surge in number of SMEs company. In 2021, there were projected to be about 330 million SMEs globally, a small increase from the approximately 325 million expected in 2019. Moreover, the adoption of edge computing is high among SMEs. The speed of edge computing is one of its appeals to SMEs. Edge computing reduces latency by eliminating the need to transport data to be analyzed elsewhere, such as a centralized cloud. This gives SMEs a fighting chance against larger organizations who have access to much more powerful computing resources. Additionally, SMEs are constantly concerned about cybersecurity. With edge computing, businesses may choose which data is to be sent to centralized processing units and which is kept on-site at local sources, maintaining control over their data. This protects both sensitive personal information and business-related data. Therefore, the market for edge data center is estimated to boost.

Application (Retail, BFSI, Logistics & Transportation, Healthcare, Government, IT & Telecom)

The global edge data center market is also segmented and analyzed for demand and supply by application into retail, BFSI, logistics & transportation, healthcare, government, and IT & telecom. Amongst which, the IT & telecom segment is expected to have a significant growth over the forecast period, backed by growing amount of data generated by industries, along with consumers. Edge computing embeds processing and storage capabilities closer to users, moving them out of centralized data centers. This paradigm offers telecoms strong chances to get into the application and platform area and expand their position beyond network and connectivity services. Moreover, edge application implementation lowers the amount of data that needs to be exchanged, the traffic that results from those transfers, and the distance the data needs to travel. The time between the point of data collection and the actual processing is drastically cut down by this innovative data processing technique.

Our in-depth analysis of the global market includes the following segments: