
The explosive advancement of artificial intelligence is driving unprecedented demand for data center infrastructure. Simultaneously, massive power consumption and heat generation have emerged as critical challenges, positioning high-efficiency power and next-generation cooling technologies as new growth engines for the AI data center infrastructure industry. Understand these evolving trends with JADISS market research.
Keywords
Flow
Shorts

The rapid advancement of artificial intelligence technology demands unprecedented data throughput and computational power, leading to immense demand for AI data center infrastructure. However, existing infrastructure faces limitations in meeting this demand, with increased power consumption and heat management from high-performance AI chipsets identified as major bottlenecks. Securing efficient power supply systems and innovative cooling technologies is becoming an essential task for the sustainable growth of data centers in the AI era.
The expansion of AI data center infrastructure extends beyond the demand for advanced semiconductors like High Bandwidth Memory (HBM), impacting the entire industry of power management semiconductors that maximize power efficiency, and next-generation cooling solutions such as liquid immersion cooling that effectively remove heat from servers. Furthermore, the importance of high-performance network equipment and optical communication components for transmitting large volumes of data without delay is growing. Technological innovation and production capacity expansion are simultaneously progressing across this entire value chain, reshaping the industry ecosystem.
The AI data center infrastructure industry's growth scenario is materializing with large-scale investment announcements from global companies. While short-term net selling by foreign and institutional investors has been observed for a specific stock, this could be interpreted as temporary supply-demand fluctuations. An increase in the short-selling ratio compared to the average might heighten market volatility, but the possibility of institutional buying turning positive, based on long-term industry growth expectations, cannot be ruled out. Related companies are expected to play a key role in AI infrastructure construction, accelerating technological competition to secure market leadership.
Examining the technical indicators for the benchmark stock, both 5-day and 20-day returns show favorable upward trends, indicating short-term strength. The Relative Strength Index (RSI) at 62.22 is approaching the overbought zone but may still have room for further upside, while the Moving Average Convergence Divergence (MACD) indicator has turned positive, signaling a favorable trend reversal. The stock's position near the upper Bollinger Band suggests strong buying interest.
A hold perspective can be maintained if the global investment trend in AI data center infrastructure continues, and innovations related to power efficiency and cooling technologies are consistently announced. Particularly, if news of orders for key components and solution suppliers or efforts to secure technological standards become visible, a positive scenario will likely continue.
A reduction or sell perspective may be considered if the overall growth of the AI industry slows, or if unexpected technical difficulties or regulatory risks arise in data center infrastructure construction. Additionally, if companies fall behind in key technological competition or experience a decline in market share, their investment appeal may diminish.
If this hits
- 글로벌 빅테크 기업들의 AI 데이터센터 구축 투자 확대 발표
- 전력 효율 및 차세대 냉각 기술 상용화 성공 및 도입 가속화
- 정부 차원의 AI 인프라 구축 지원 정책 및 규제 완화
- AI 모델 성능 향상에 따른 고성능 컴퓨팅 수요의 지속적 증가
If this breaks
- 글로벌 경기 둔화로 인한 기업들의 AI 투자 축소
- 데이터센터 인프라 시장 내 과도한 경쟁 심화 및 가격 하락 압력
- 예상보다 더딘 차세대 전력/냉각 기술 도입 속도
- 새로운 AI 아키텍처 등장으로 기존 인프라 투자 가치 하락 우려
Watch
- 주요 AI 기업들의 데이터센터 투자 계획 및 실제 집행 규모
- 전력 반도체 및 냉각 솔루션 관련 기술 개발 동향 및 특허 경쟁
- 에너지 가격 변동이 데이터센터 운영 비용에 미치는 영향
- 글로벌 공급망 내 핵심 부품 수급 상황 및 가격 추이
- 관련 기업들의 공시 내용 및 주요 수급 주체들의 매매 동향
Value chain
- 고성능 메모리 반도체 (HBM)
- 전력 관리 시스템 및 전력 반도체
- 액침 냉각 및 공랭식 냉각 솔루션
- 고속 데이터 전송을 위한 광통신 부품 및 네트워크 장비
- 데이터센터 설계 및 구축 서비스
View
Related
Navigating the AI Data Center Evolution
The rapid advancement of AI technology is pushing data center infrastructure to its limits. The escalating demands for processing power and data throughput bring significant challenges, particularly concerning massive power consumption and effective heat management. Advanced power efficiency and innovative cooling solutions are now paramount for the sustainable growth of AI data centers.
Innovation Across the AI Infrastructure Value Chain
The expansion of AI data center infrastructure is driving innovation across the entire value chain. This includes not only high-bandwidth memory (HBM) but also power management semiconductors for maximizing efficiency, and next-generation cooling solutions like liquid immersion cooling. High-performance network equipment and optical communication components are also becoming crucial for seamless data transmission, fostering a dynamic ecosystem of technological advancement.
Global Investment Trends and Market Dynamics
The AI data center infrastructure sector is seeing its growth trajectory solidified by major investment announcements from global enterprises. While short-term market fluctuations may occur, the long-term outlook remains robust. Technical indicators suggest a positive short-term trend and a favorable shift in momentum, positioning key players to accelerate their technological competition and secure market leadership in AI infrastructure development.
Next step
JADISS channels
Journal
· Home
· Lab
· Blog
· Telegram
Explore the AI data center infrastructure market with JADISS trading journals and weekly market research.
JADISS brief · Disclaimer