The Taiwan data center server market reached a value of USD 1.1 billion in the previous year, and it is further projected to register a CAGR of 7.0% during the forecast period. The increasing demand for cloud computing among small and medium-sized enterprises (SMEs), government regulations for local data security, and growing investment by domestic players are some of the major factors driving the demand for data centers in the country.
Under Construction IT Load Capacity: The upcoming IT load capacity of the Taiwan data center market is expected to reach 300 MW by 2029.
Under Construction Raised Floor Space: The country's construction of raised floor area is expected to increase to 1.5 million sq. ft by 2029.
Planned Racks: The country's total number of racks to be installed is expected to reach 76K units by 2029. Taipei City is expected to house the maximum number of racks by 2029.
Planned Submarine Cables: There are close to 10 submarine cable systems connecting Taiwan, and many are under construction. One such submarine cable that is estimated to start service in 2024 is Apricot, which stretches over 11,972 Kilometers with landing points from Toucheng, Taiwan.
The Taiwan data center server market is relatively low in terms of competition. It has some players in the market, such as Dell Inc., Cisco Systems Inc., Kingston Technology Company Inc., Hewlett Packard Enterprise, and Fujitsu Limited. These major players focus on expanding their customer base in the country. These companies leverage strategic collaborative initiatives to increase their market share and profitability.
In May 2023, Cisco introduced UCS X servers that cut data center energy use in half. The combination of the Cisco Intersight infrastructure management platform and Unified Computing System (UCS) X-Series servers reduces data center energy consumption by up to 52% at a 4:1 server consolidation rate.
In July 2023, Dell launched Generative Artificial Intelligence Solutions that offers a modular, full-stack architecture for enterprises seeking a secure, high-performance, proven architecture for deploying large language models (LLM). A paradigm shift in IT planning has taken place due to the rapid demand for GenAI at work, which will continue to ripple through the industry. Thus, there has been a strong demand for graphics processing unit (GPU) accelerator servers that are driving the computational intensive training and inferencing of GenAI workflows.
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