[EDA Great Transformation ③] Korea Was Already in the Midst of the EDA War
Published2026.08.12 16:22Competition among global EDA companies is intensifying in the Korean market, centered on Samsung's 2nm and HBM and 3D stacking. AI-based design automation is an opportunity to alleviate labor shortages in domestic fabless companies, but it also creates new barriers in licensing and token costs. Korea has now emerged as a key stage in advanced design and verification competition, transcending its role as a market merely adopting EDA technology.
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[EDA Great Transformation ①] The Era of AI Designing Chips…EDA Competition Shifting from 'Speed' to 'Trust'
As 'self-verifying' designs in which AI directly executes, validates, and corrects EDA tools become widespread, the core of EDA competition is shifting from speed to trust. Siemens presented an agentic workflow where AI plans, executes, and debugs tasks, emphasizing accuracy through physics-based engines. Synopsys and Cadence are competing in a similar direction, sharing Nvidia technology. While AI automation increases productivity, token cost management has emerged as a new challenge. As AI connects tools from multiple vendors, platform lock-in weakens and engine accuracy is becoming the key competitive advantage.
2026.08.12by 배종인 기자
[EDA Great Transformation ②] AI Agents are Converging...The Real Competition Ground for EDA's Big Three is 'Physics Engine'
Synopsys, Cadence, and Siemens EDA have entered a competition in 'Agentic EDA' where AI directly executes and validates design tools. Synopsys expanded beyond semiconductors by acquiring Ansys to integrate multiphysics analysis, and is raising RTL automation productivity through AgentEngineer. Cadence built four types of design agents in eight months, leading in the speed competition, and strengthened certification for TSMC and Samsung 2-nanometer processes. Siemens is supplementing the front-end of design based on strengths in sign-off areas such as Calibre and Tessent. All three companies share AI technology based on Nvidia, and the real competition is expected to be decided by 'engineering foundations beneath AI' such as physics engine accuracy, foundry certification, and customer design data.
2026.08.12by 배종인 기자
Semiconductor investment momentum shifts from front-end to back-end
The flow of semiconductor investment is shifting from front-end to back-end and packaging-focused processes. Global companies are concentrating on HBM stacking, testing, and supply chain localization, similar to SK Hynix's Indiana HBM packaging factory, with back-end equipment and packaging industries expected to reach peak demand by 2027.
2026.08.28by 배종인 기자
A single misaligned light means 'defect'… Vehicle interior lighting now guarded by semiconductors and software
Automotive interior lighting is moving beyond its role as 'auxiliary lighting.' As it becomes a core element of user experience (UX) that expresses brand identity through color and animation while reflecting driver preferences, the LED interior ambient lighting market is growing rapidly. In connection with this, we met in advance with Choi Young-jae, Research Director at Dabo Corporation, who will present a technical webinar session on "Intelligent LED Interior Lighting Solutions Illuminating Future Vehicles," to hear about market trends and changes in design requirements.
2026.08.28by 명세환 기자
AI Agents Trigger 'Memory Supercycle'
At the 'Dell Technologies Forum 2026', SK Hynix Vice President Joo Young-pyo emphasized that as AI proliferation advances, memory bandwidth and efficiency emerge as critical bottlenecks, and SK Hynix must address this through HBM, 3D packaging, PIM, CXL, and memory pooling. As generative and inference-type AI increase, TB-level memory capacity, high-speed bandwidth, and sophisticated data processing have become essential, and a transition from GPU-centric architecture to memory-centric architecture is underway. HBM demand is surging rapidly, with memory efficiency, computational optimization, and system integration identified as key competitiveness factors for AI.
2026.08.28by 배종인 기자
