High NA EUV technology is gaining momentum as TSMC and Samsung prepare for more advanced semiconductor production. Both companies plan to adopt next-generation lithography equipment as artificial intelligence drives demand for increasingly powerful and sophisticated chips. The move highlights the semiconductor industry’s growing need for manufacturing technologies capable of supporting complex transistor designs and higher computing performance.
ASML developed High NA EUV systems to create smaller and more intricate circuit patterns on silicon wafers. These machines can help manufacturers produce advanced semiconductors while maintaining greater precision during increasingly complicated production processes. Consequently, the technology could become increasingly important as chipmakers develop processors designed for artificial intelligence, high-performance computing, and other demanding applications.
Samsung plans to introduce High NA EUV technology into its DRAM manufacturing operations beginning in 2028. DRAM provides temporary data storage for computers, smartphones, servers, and artificial intelligence systems. As AI workloads expand, demand for high-performance memory continues to increase across data centers and other computing environments. Therefore, Samsung expects advanced manufacturing technology to support its longer-term memory development strategy.
The company also expects the new equipment to help extend its DRAM scaling roadmap while improving production efficiency. Meanwhile, TSMC plans to introduce High NA EUV technology for advanced semiconductor manufacturing around 2030. The Taiwanese chipmaker expects demand for increasingly complex transistor architectures to drive future adoption, particularly across artificial intelligence applications and high-performance computing systems.
The equipment carries an estimated price of around $400 million per machine, making each installation a significant investment. Therefore, semiconductor manufacturers must carefully assess production requirements before expanding their use of the technology. Nevertheless, commitments from major chipmakers provide stronger evidence that manufacturers see commercial value in next-generation lithography.
Samsung and TSMC will join Intel among the major semiconductor manufacturers adopting High NA EUV technology. Intel has already begun using the equipment for advanced chip production, further demonstrating growing interest among leading manufacturers. Moreover, broader customer adoption could strengthen the technology’s position within the global semiconductor manufacturing industry over the coming years.
The latest commitments could also provide greater visibility into ASML’s future growth prospects and production planning. Investors have closely monitored High NA EUV adoption because the technology represents an important opportunity for future equipment demand. As a result, stronger commitments from major customers could help ASML evaluate whether additional manufacturing capacity will become necessary.
ASML expects to increase its overall EUV production capacity by approximately 30% during 2027. However, the company has not recently provided a specific forecast for High NA EUV machine sales. Consequently, investors continue watching customer commitments and manufacturing plans for indications about future demand.
Analysts have viewed the latest developments positively because the announcements provide clearer visibility into technology adoption. Furthermore, stronger demand could influence ASML’s decisions regarding future investments in EUV production capacity. The company now faces an important decision about whether to expand capacity beyond previously announced targets as semiconductor manufacturers increase their commitments.
At the same time, TSMC and Samsung plan to participate in an industry initiative involving next-generation photomask technology. The initiative aims to advance 12-inch photomasks, replacing the smaller six-inch format currently used across semiconductor manufacturing. Photomasks serve as templates that help transfer complex circuit patterns onto silicon wafers during chip production.
Larger photomasks could improve manufacturing productivity while potentially reducing production costs for semiconductor manufacturers. Therefore, the transition could complement broader efforts to make advanced chip production faster and more efficient. The development also reflects the industry’s continuing push toward technologies that can support increasingly complex semiconductor designs.
High NA EUV technology could play an important role as manufacturers pursue smaller transistor structures and improved chip performance. Artificial intelligence remains one of the strongest forces behind this transition, particularly as data centers require increasingly powerful processors and memory components. Consequently, chipmakers continue investing in equipment that can support future generations of AI-focused hardware.
Samsung’s plans demonstrate how memory manufacturers are preparing for rising demand from artificial intelligence applications. Meanwhile, TSMC’s longer-term plans show how advanced logic chip production could gradually incorporate the technology. Together, these developments suggest that High NA EUV adoption could expand significantly as semiconductor manufacturing requirements become more demanding.
Overall, the commitments from TSMC and Samsung represent an important development for the advanced semiconductor equipment market. Their planned adoption provides additional evidence that leading chipmakers expect next-generation lithography to support future production requirements. As artificial intelligence continues expanding, manufacturers will likely face greater pressure to develop smaller, faster, and more efficient chips.
The coming years will determine how quickly High NA EUV technology moves from early adoption toward broader commercial production. However, commitments from several leading chipmakers already indicate growing confidence in its long-term manufacturing potential. For the semiconductor industry, the technology could become an important tool for meeting the performance demands of future artificial intelligence systems.
