Singapore Data Center GPU Market Projected to Reach USD 0.79 Billion by 2031 at 13.37% CAGR
Yahoo Finance ·
The Singapore data center GPU market is experiencing robust expansion, propelled by generative artificial intelligence development and aggressive hyperscaler investments. According to recent research, the market value expanded from USD 0.36 billion in 2025 to USD 0.42 billion in 2026, with projections indicating it will climb to USD 0.79 billion by 2031 at a compound annual growth rate of 13.37%. Major cloud providers including Microsoft, Amazon Web Services, and Google have collectively committed over USD 19 billion toward local infrastructure projects between 2024 and 2029. Meanwhile, strict power caps and land limitations in Singapore are compelling operators to adopt advanced liquid cooling technologies and increase rack densities to accommodate dense accelerator hardware despite regional capacity alternatives.
AI 시장 분석
The Singapore data center GPU market is projected to grow at a CAGR of 13.37% to reach $79 million by 2031, driven by generative AI and expanding investments by hyperscalers. This surge in infrastructure demand directly translates to increased revenue for related hardware suppliers and data center REITs. Investors should focus on companies possessing AI computing power and high-performance cooling technologies.
상승 영향
- AI — The Singapore GPU market is expected to record a CAGR of 13.37% and reach $79 million by 2031, driving direct revenue growth for AI hardware and infrastructure companies.
- Semiconductors — Due to large language model training and sovereign AI initiatives, demand for high-performance GPUs such as NVIDIA H100 and B200 is surging, improving shipments and earnings for semiconductor manufacturers.
DYAX 전담 분석
Singapore's GPU market growth leads to a 13.37% CAGR and the achievement of a $79 million scale, driving the earnings growth of related companies in conjunction with $19 billion in investments by hyperscalers such as Microsoft, AWS, and Google. Furthermore, despite power and land constraints, it has recorded a high rental growth rate (45%), proving the profitability of high-value-added infrastructure.
The bullish scenario is that GPU and liquid cooling demand driven by the advancement of AI models will offset supply limitations and maximize margins for related companies, while the bearish scenario is that project delays will occur due to power supply restrictions and soaring costs. Key metrics to watch are hyperscaler leasing demand and power density efficiency per rack.
AI가 생성한 분석으로 투자 자문이 아닙니다.
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