QYResearch·2026-02-13 09:30Core Insights - The article emphasizes the accelerated global construction of AI-driven data centers, highlighting significant investments from major tech companies like Meta and Mistral AI, which reflect the strategic importance of AI computing power deployment [2][3] - Data centers are not only foundational for AI applications but also serve as critical support for profit growth and technological competition across the industry [4] Market Size and Policy Environment by Region - North America: Projected market size of approximately $95-100 billion by 2026 and $300-350 billion by 2030, with a CAGR of ~28%. The region benefits from supportive AI innovation policies and strict data privacy regulations [6] - Europe: Expected market size of around $40-45 billion by 2026 and $120-150 billion by 2030, with a CAGR of ~25%. The region faces strict GDPR compliance and has a strong demand for localized data centers [6] - China: Anticipated market size of about $50-55 billion by 2026 and $160-200 billion by 2030, with a CAGR of ~27%. The government encourages AI and computing infrastructure development [6] - South Korea: Estimated market size of $5-6 billion by 2026 and $20-25 billion by 2030, with a CAGR of ~30%. The government promotes AI strategies and local semiconductor advantages [6] - Japan: Projected market size of $6-7 billion by 2026 and $18-22 billion by 2030, with a CAGR of ~23%. The region's stable demand comes from high-end manufacturing and finance sectors [6] - India: Expected market size of $3-4 billion by 2026 and $12-15 billion by 2030, with a CAGR of ~28-30%. The region shows rapid growth in cloud computing and AI applications [6] Key Industry Chain and Leading Companies - AI Chips/Accelerators: Key players include NVIDIA, AMD, Intel, and Google, focusing on high-performance AI training and inference [8] - Data Center Infrastructure: Major operators like Equinix and Digital Realty, along with self-built centers from Meta, AWS, and Microsoft, dominate the market [8] - Cloud Services/AI Platforms: AWS, Microsoft Azure, and Google Cloud are leading providers of AI services and solutions [8] - Storage/Memory: Companies like Samsung and SK Hynix are crucial for high-speed storage demands [9] - Network Equipment: Cisco and Arista Networks are essential for data center connectivity [9] - Energy and Cooling: Schneider Electric and Vertiv lead in providing reliable power and cooling solutions [9] - Data Center Software: VMware and HashiCorp/Red Hat offer critical management tools for data centers [9] Investment Opportunities - Upstream Chips: Investment in GPU/TPU/accelerators offers high margins and long-term contracts [10] - Data Center Operations: Focus on self-built or managed centers in high-demand regions like North America, China, and South Korea for stable rental income [10] - Cloud Service Platforms: High-growth subscription revenue opportunities in AI SaaS/IaaS [10] - Storage/Memory: Long-term supply agreements with major operators for HBM/SSD [10] - Network Equipment: Targeting AI-optimized and low-latency products for mid to long-term replacement [10] - Energy/Cooling: Building green data centers to leverage policy benefits [10] - Software/Operations: Providing intelligent operation and monitoring services for high profit margins [10] Conclusion and Strategic Recommendations - AI data centers are positioned as the core hub of the global tech industry over the next decade, with understanding technology trends and market opportunities being crucial for competitive advantage and long-term returns [12][14] - Regional market differences indicate that North America and China have large, stable markets, while South Korea and Southeast Asia show rapid growth [14] - Investment strategies should focus on leveraging these regional insights for optimal positioning in the evolving landscape [14]