무슨 일이 일어났나요?
In Shenzhen’s Huaqiangbei market, prices for consumer‑grade multilayer ceramic capacitors (MLCCs) have fallen by about two‑thirds from their peak two months ago, while high‑capacitance MLCCs used in AI servers have risen up to five‑fold over the past year. The divergence reflects a sharp split in demand: consumer electronics demand is weakening, whereas AI data‑center construction is driving robust demand for advanced server‑grade MLCCs.
Spot prices for consumer‑grade MLCCs in Huaqiangbei have dropped by roughly 66% from their recent peak, reflecting a speculative rally that has now corrected amid weaker consumer electronics demand.
By contrast, distributors report that high‑capacitance MLCCs required for AI servers have risen up to five times their price over the last year, with some models seeing ten‑fold increases since the June rally.
Major Japanese makers such as Murata, TDK and Taiyo Yuden are tightening supply of server‑grade parts, while Chinese firms are expanding production of standard‑grade MLCCs to fill the gap left by lower‑margin mature parts being scaled back by global leaders.
왜 중요한가요?
The surge in AI‑server MLCC prices signals the rapid expansion of AI data‑center infrastructure in China and highlights a shift in the electronics supply chain toward components that meet higher performance specifications. Chinese manufacturers are poised to capture market share in mid‑tier MLCC segments as Japanese and Korean firms reallocate capacity to premium, high‑end parts, potentially reshaping global component sourcing and pricing dynamics.
The price divergence underscores how AI data‑center construction is becoming a dominant driver of component demand, outpacing traditional consumer electronics growth.
Chinese manufacturers’ ability to leverage local material sourcing and proximity to OEMs gives them a cost advantage in the mid‑tier market, potentially increasing their share as foreign suppliers focus on high‑end products.
Supply constraints for AI‑server MLCCs could affect the rollout speed and cost of new AI hardware, influencing the broader AI ecosystem and competitive dynamics among cloud providers.
대화형 메커니즘: 실제로 작동하는 방식
이 개발의 이면에 있는 기본 기술을 대화식으로 살펴보세요.
What did neural scaling law research (e.g. Kaplan et al., 2020) observe?
다음에 무엇을 볼 것인가
Future developments include the rollout of domestically produced AI‑server MLCCs, capacity adjustments by major Japanese and Korean suppliers, and the impact of these trends on pricing and availability for AI‑focused hardware projects.
Progress of domestic Chinese firms in developing AI‑server‑grade MLCCs and achieving qualification for major data‑center customers.
Capacity shifts by Murata, TDK and other Japanese/Korean suppliers toward premium parts, which may further tighten supply of mid‑range components.
Potential price stabilization or volatility in both consumer and server MLCC segments as AI data‑center demand evolves.