TSMC Secures Exclusive Orders for Snapdragon 8 Elite Gen 2 !!

With reliable 3nm yields and proven scale, TSMC tightens its grip on the advanced node foundry market, leaving Samsung further behind in the cutting-edge semiconductor race.

TSMC’s Strategic Win in the Snapdragon Race

Taiwan Semiconductor Manufacturing Company (TSMC) has reportedly secured exclusive production rights for Qualcomm’s next-generation Snapdragon 8 Elite Gen 2 chipset, originally slated for Samsung’s 2nm foundry.

This strategic shift underscores TSMC’s growing dominance in the advanced node market and Samsung’s persistent struggles with yield optimization.

According to sources close to the matter, Samsung Foundry’s 2nm process failed to achieve a crucial 70% production yield—the minimum required for commercial viability. Qualcomm, unwilling to risk delays or shortages, has now moved the project to TSMC’s stable and mature 3nm N3E process, currently used for Apple’s A-series and Nvidia’s AI chips.

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Overview — Key Takeaways

Snapdragon 8 Elite Gen 2 will be manufactured exclusively by TSMC, not Samsung.

Samsung’s 2nm yield rate reportedly fell short at ~50%, below the 70% required by Qualcomm.

TSMC’s 3nm process is currently producing chips at high yield, giving it a competitive edge.

This marks another leading-node win for TSMC amid the AI chip race and smartphone SoC competition.

The deal further widens the technology gap between TSMC and Samsung in advanced node manufacturing.

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Qualcomm Moves to TSMC Over Yield Reliability

While Qualcomm initially had plans to diversify its foundry partners—reducing dependence on TSMC and nurturing ties with Samsung—the reality of yield maturity altered the course.

Samsung’s yield reportedly hovered around 50%, making it financially and operationally unfeasible for high-volume chip production.

TSMC, on the other hand, has already achieved above 70% yield rates on its 3nm N3E node, making it the only practical choice for Qualcomm’s flagship SoC.

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Why This Shift Matters: Industry Implications

This exclusive deal carries broader implications across the semiconductor landscape. TSMC’s ability to deliver reliable yield at advanced nodes is helping it lock in long-term partnerships with major chip designers like Apple, Nvidia, AMD, and now Qualcomm.

Meanwhile, Samsung’s failure to meet yield expectations at 2nm threatens its competitiveness in both mobile SoCs and AI accelerators—a segment it aims to aggressively target through its HBM and foundry businesses.

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TSMC vs Samsung Advanced Nodes (Q2 2025)

MetricTSMC (3nm N3E)Samsung (2nm GAA)
Yield Rate~70%+~50%
Volume Production StartLate 2023Trial Run Q2 2025
ClientsApple, Nvidia, AMD, QualcommInternal chips, limited clients
Market Share (Foundry)~61%~12%
Revenue (Q1 2025)$18.9 Billion$3.9 Billion

Source: Counterpoint Research, IC Insights

The Bigger Picture: TSMC’s 3nm Momentum

This isn’t the first time TSMC has benefited from Samsung’s yield problems. In 2022, Apple ditched Samsung in favor of TSMC for its A16 Bionic chips.

Since then, TSMC has continued to build on its reputation for yield leadership, drawing in high-margin customers across AI, HPC, and mobile.

With Qualcomm’s Snapdragon 8 Elite Gen 2 expected to power premium Android devices in 2026, this win gives TSMC a larger slice of the mobile flagship SoC pie—one of the most lucrative foundry segments.

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Conclusion : Samsung Still in the Race, But Lags

Samsung isn’t out of the advanced-node game yet. Its gate-all-around (GAA) transistor architecture remains promising, and the company plans to ramp up its 2nm commercial production by late 2026. However, it needs to close the yield gap soon or risk losing more high-value customers to TSMC.

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Kumar Priyadarshi
Kumar Priyadarshi

Kumar Joined IISER Pune after qualifying IIT-JEE in 2012. In his 5th year, he travelled to Singapore for his master’s thesis which yielded a Research Paper in ACS Nano. Kumar Joined Global Foundries as a process Engineer in Singapore working at 40 nm Process node. Working as a scientist at IIT Bombay as Senior Scientist, Kumar Led the team which built India’s 1st Memory Chip with Semiconductor Lab (SCL).

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