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Murata Manufacturing halts general MLCC orders, 20-week lead times

Murata Manufacturing halts general MLCC orders, 20-week lead times

3 Key Points

  1. What happened

    Murata Manufacturing stopped accepting new orders for general-purpose MLCCs, prioritizing high-margin AI server models. Delivery times for high-value MLCCs have stretched from 8–10 weeks to over 20 weeks.

  2. Why it matters

    AI servers use over 10 times more MLCCs than general servers, and an NVL72 rack can require 440,000 to 600,000 units. Murata's 800億円 investment will only boost capacity by 10–15%, and not until fiscal 2027.

  3. What to watch

    Whether Murata's capacity ceiling pushes more demand to competitors like Samsung Electro-Mechanics or emerging silicon capacitor makers. Watch Samsung's 1兆722億ウォン long-term supply contract, its largest single MLCC deal ever.

WHO IT HITSEnterprise IT teams and data center operators sourcing AI server components face longer lead times and potential supply shortages, while procurement managers at general electronics makers may struggle to secure basic MLCC supply as manufacturers prioritize AI orders. Smaller component makers could gain market share as they absorb spillover demand.

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Context & Analysis

The passive component industry is experiencing a structural shift driven by AI compute demand. MLCCs, long considered a commodity, have become a strategic resource as AI servers require over 10 times more units than general servers. Murata's decision to refuse general-purpose orders reveals that capacity expansion cannot keep pace, with even its 800億円 investment yielding only a 10–15% increase by fiscal 2027. This forces a prioritization of high-margin AI components over legacy products, sending ripple effects through the supply chain.

Competitors are responding aggressively to fill the gap. Samsung Electro-Mechanics secured its largest single MLCC long-term contract at 1兆722億ウォン, while Taiwanese makers like Yageo and 華新科 are absorbing spillover demand. The market is clearly supplier-driven, with inventory at record lows and capacity utilization at 95%. This tightness is not merely cyclical; it reflects a fundamental mismatch between AI's exponential demand and the industry's incremental capacity additions.

Looking ahead, the physical limits of traditional MLCCs in high-frequency applications are opening the door for silicon capacitors. These devices, manufactured using semiconductor wafer processes, offer lower parasitic parameters and better integration with advanced packaging. However, their custom nature — requiring tight alignment with chip architectures and packaging processes — remains a hurdle. The outcome likely depends on whether silicon capacitors can scale beyond niche applications to become a standard option, which would test the dominance of the Japanese ceramic powder supply chain and alter the competitive landscape for passive components.

FAQ
Why is Murata refusing orders for general-purpose MLCCs?
Murata is prioritizing high-margin AI server components because its production capacity is limited. Even an additional investment of 800億円 will only raise capacity by 10–15% by fiscal 2027, so it cannot meet all demand.
What are the implications for other MLCC makers?
Samsung Electro-Mechanics signed a 1兆722億ウォン long-term supply contract for AI server MLCCs, its largest ever. Taiwanese makers like Yageo are also benefiting, with Yageo's August sales up 51.8% year-over-year.
What is the alternative to MLCCs in AI servers?
Silicon capacitors are emerging as an alternative, especially for high-frequency applications. They offer lower parasitic parameters and can be integrated into advanced packaging, with Chinese firm 蘇納光電 already in mass production.
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