从实验室到产线，半导体材料检测技术攻坚实录：半导体材料检测发展论坛在沪召开

Core Viewpoint - The "Semiconductor New Materials Industry Detection Innovation Development Forum" held in Shanghai highlighted the rapid growth and innovation in the semiconductor materials sector, emphasizing the importance of detection technology in ensuring material quality and performance [1][2]. Group 1: Market Insights - The global semiconductor market is projected to exceed $600 billion by 2024, with a record sales figure of $54.9 billion reported in February 2025 [7]. - Domestic companies such as Anji, Xinyang, and Nanda Optoelectronics have made significant technological breakthroughs in the materials field, showcasing the industry's innovative vitality [7]. - The domestic market for semiconductor materials is expected to account for over 40% by 2027, but there is a structural imbalance in the localization of wet electronic chemicals, with general products having over 50% localization while high-end functional products like photoresists and polishing liquids are below 15% [8]. Group 2: Detection Technology Challenges - The detection technology is crucial for semiconductor material R&D and production, as it ensures the control of material purity and crystal structure, which directly impacts chip yield [8]. - Current challenges in semiconductor material detection include the lack of standardized metrics, difficulties in handling hazardous materials, and insufficient application matching [10]. - The need for a standardized detection platform and collaborative efforts between academia and industry is emphasized to overcome technical bottlenecks [8][10]. Group 3: Innovations and Applications - The forum featured discussions on advanced detection methods such as electronic wet chemical detection and X-ray technology, which are essential for optimizing semiconductor processes [8][10]. - The establishment of a national new materials testing platform aims to support key material breakthroughs and domestic equipment validation, with over 8,000 samples tested to date [12]. - AI and big data analytics are being integrated into detection processes to enhance efficiency and reduce costs, with a focus on developing a collaborative ecosystem for semiconductor material detection [8][25]. Group 4: Future Directions - The roundtable discussions highlighted the importance of AI in semiconductor detection, emphasizing the need for AI models to be trained with specialized knowledge to avoid inaccuracies [25]. - The need for a three-tier mutual recognition system for electronic chemical detection was proposed to facilitate domestic product validation and standardization [26]. - The potential for Chinese standards to become international benchmarks through the integration of high-end instrument localization and AI technology was discussed [26].