Hybrid Cloud Deployments
Cloud Orchestration and AI Innovation Fuel Asia Pacific's Emergence as Premier Hub for Next-Generation Data Center Sites
Data Centers will Continue Playing an Integral Role in Driving Enterprises' Digital Operations
The acceleration of digital transformation initiatives such as hybrid cloud deployments, Artificial Intelligence (AI) and Machine Learning (ML) solutions, and the implementation of the Internet of Things (IoT) at the edge network continues to generate usage and demand for next-generation data centers. According to global technology intelligence firm ABI Research, next-generation colocation data centers will reach 7,640 sites by 2030, growing at a Compound Annual Growth Rate (CAGR) of 6.8 percent.
Data centers will continue playing an integral role in driving enterprises' digital operations. "Deployment of cloud-based solutions remains a top agenda for many enterprises, necessitating the demand for data centers. The rise of edge-to-cloud data management orchestration solutions increases the benefits of running workloads through a robust and well-equipped data center,” says Yih-Khai Wong, Distributed and Edge Computing Senior Analyst at ABI Research.
Data centers are undergoing a transformation phase. "This is necessary as data and workloads are getting more complex, requiring higher processing capabilities. We are seeing an increasing demand for mega and large data center sites that can support AI/ML workloads, including generative AI,” Wong explains.
Asia Pacific (excluding China) will host the largest number of colocation sites by 2030, accounting for 28 percent of total colocation sites worldwide. Europe is the second largest region with 27 percent, while North America is third with 24 percent. This represents a shift compared to 2023, when Europe had the most colocation sites, with 31 percent of total sites, followed by North America with 27 percent, and the Asia Pacific (excluding China) with 22 percent.
"The emergence of generative AI has also boosted demand for next-generation data center capabilities. The processing of large language models (LLMs) will require a tremendous amount of data processing power and excellent network connectivity. Data center operators will have to ensure that current and future data center sites can meet the requirements generated from new technologies,” Wong concludes. (ABI Research: ra)
eingetragen: 07.05.24
Newsletterlauf: 14.06.24
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