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NewsTopic · 应用材料AI增长目标1 min read·2026-10-14

Applied Materials Outlines 2030 AI-Driven Growth Targets: Market Share Up 2 Points, Gross Margin at 54%

Applied Materials sets long-term financial and market share goals, emphasizing that AI demand will drive wafer fab equipment expansion and margin improvements.

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2026-10-14 06:02 GMT+8

At its SEMICON West event, Applied Materials outlined a long-term strategy expecting to gain more than two percentage points of wafer-fab-equipment (WFE) market share by 2030, driven by artificial intelligence demand.

CFO Brice Hill noted that the company's revenue reached $34.3 billion over the last decade with a 12.2% compound annual growth rate, while non-GAAP gross margins expanded to 50%. For 2030, the company targets a 54% non-GAAP gross margin, a 40% operating margin, and over $12 billion in service revenue.

Prabu Raja, President of Semiconductor Products Group, stated that leading-edge logic, DRAM, and advanced packaging are expected to account for roughly 75% of incremental industry growth. In High-Bandwidth Memory (HBM) packaging, the company anticipates related revenue exceeding $1 billion this year and plans to double its addressable market through hybrid bonding technology.

CEO Gary Dickerson said agentic AI computing configurations can consume two to four times as many wafers as generative AI setups. The company plans to more than double its laboratory and manufacturing capacity and return 80% to 100% of free cash flow to shareholders over time.

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报道出处marketbeat.com↗
Topic

应用材料AI增长目标

应用材料公司(Applied Materials)于2026年10月发布2030年长期增长战略,明确将人工智能需求作为核心驱动力,设定了晶圆厂设备(WFE)市占率提升逾2个百分点、非GAAP毛利率达54%的财务目标。

4 steps1 piecesUpdated 2026-10-14 12:34

How it got here

  1. 2026-05-28CEO Gary Dickerson在Bernstein会议上表示,AI是“我们一生中最大的技术拐点”,先进逻辑、DRAM和先进封装占2026年WFE增量的80%以上。
  2. 2026-08-28Dickerson在The Six Five Summit上重申AI驱动增长,宣布投资50亿美元建设EPIC中心以加速商业化,并指出电子束检测业务今年销售额预计达20亿美元。
  3. 2026-09-10公司上调2026年收入增长预期至接近40%,称数据中心晶圆启动量将在几年内达到智能手机的两倍,服务业务同比增长超20%。

What is still unsettled

  • Agentic AI配置实际消耗的晶圆数量是否真如预测般为生成式AI的2-4倍?
  • EPIC中心的并行开发模式能否真正将从材料研究到商业芯片生产的时间缩短一半?
  • 中国市场的限制措施是否会阻碍其在ICAPS领域的增长预期?
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