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Lam Research Bets on Advanced Packaging for 50% Growth in 2026

Lam Research (LRCX) is highlighting its advanced packaging business as a key growth driver, projecting over 50% revenue growth in 2026. The push is fueled by demand for AI chips, high bandwidth memory, and chiplet architectures. Competition is intensifying with Applied Materials and KLA Corporation.

June 16, 2026
2 min read
Source: Simply Wall St.
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Key Numbers

revenue growth
50%
year
2026

Lam Research (NasdaqGS:LRCX) is spotlighting its advanced packaging business as a key growth driver, with the company projecting revenues from this segment to rise more than 50% in 2026. The push is linked to demand for AI chips, high bandwidth memory (HBM), and chiplet architectures, which require more complex packaging solutions.

The Product

Advanced packaging involves assembling multiple chips into a single package to improve performance and reduce power consumption. Lam Research's technologies support high-density interconnects and vertical memory stacking, making them critical for AI and high-performance computing applications.

Pricing and Availability

Lam Research has not disclosed specific pricing details, but advanced packaging solutions are typically sold as part of semiconductor equipment contracts. The technologies are currently available to select customers, with production scaling expected through 2026.

Competition

Competition is intensifying in the advanced packaging market, with rivals such as Applied Materials and KLA Corporation also targeting the same opportunities. Each offers competing solutions, increasing pressure on Lam Research to innovate and maintain market share.

Potential Impact on the Company

If the projected 50% growth materializes, it could significantly boost Lam Research's revenue and support its stock (LRCX). However, intense competition may pressure profit margins. Investors await Q4 results to gauge the strategy's success.

Frequently Asked Questions

Advanced packaging is a technology that assembles multiple chips into a single package to improve performance and reduce power consumption, widely used in AI chips and high bandwidth memory.

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This article was rewritten in Wrqti's editorial style based on information from the original source above. Content is informational only — not investment advice.