行 业 及 产 业 行 业 研 究 / 行 业 深 相关研究 《国资再入股概伦电子——EDA 行业月报 202602 期》 2026/02/03 《 IPO 活跃，行业进入加速发展阶段—— EDA 行业月报 202601 期》 2026/01/05 证券分析师 黄忠煌 A0230519110001 huangzh@swsresearch.com 研究支持 王开元 A0230125030001 wangky@swsresearch.com 联系人 王开元 A0230125030001 wangky@swsresearch.com 2026 年 03 月 20 日 系统级时代来临，芯和领衔国产多 物理场仿真 看好 ——EDA 行业系列报告 202603 期 本期投资提示： 度 证 请务必仔细阅读正文之后的各项信息披露与声明 券 研 究 报 告 计算机 ⚫ 本期 EDA 报告重点介绍 EDA 行业中多物理场仿真这一细分领域，核心说明这一能力在 EDA 工具中的重要性快速提升，EDA+CAE 的融合为行业趋势。 ⚫ 半导体行业进入系统级时代，多物理场仿真成为 EDA 重要需求。芯片层级：底层驱动是 后摩尔时代，芯片需 ...

行 业 及 产 业 行 业 研 究 / 行 业 深 相关研究 《国资再入股概伦电子——EDA 行业月报 202602 期》 2026/02/03 《 IPO 活跃，行业进入加速发展阶段—— EDA 行业月报 202601 期》 2026/01/05 证券分析师 黄忠煌 A0230519110001 huangzh@swsresearch.com 研究支持 王开元 A0230125030001 wangky@swsresearch.com 联系人 2026 年 03 月 20 日 系统级时代来临，芯和领衔国产多 物理场仿真 看好 ——EDA 行业系列报告 202603 期 本期投资提示： 度 证 请务必仔细阅读正文之后的各项信息披露与声明 本研究报告仅通过邮件提供给 中庚基金 使用。1 券 研 究 报 告 计算机 ⚫ 本期 EDA 报告重点介绍 EDA 行业中多物理场仿真这一细分领域，核心说明这一能力在 EDA 工具中的重要性快速提升，EDA+CAE 的融合为行业趋势。 ⚫ 半导体行业进入系统级时代，多物理场仿真成为 EDA 重要需求。芯片层级：底层驱动是 后摩尔时代，芯片需要通过先进封装的方式延续"摩尔定律" ...

EDA：芯片设计的 "隐形大脑"，AI 与国产替代如何改写格局？ 汉鼎智库咨询 2026-03-18 当一颗 3nm 制程芯片在晶圆厂完成量产，很少有人会想到，其从概念到 实物的过程中，藏着 EDA（电子设计自动化）工具的 "全流程操盘"。这种被 称为 "芯片之母" 的核心技术，贯穿芯片架构设计、物理验证、封装集成等所 有关键环节，堪称半导体产业的 "工业软件皇冠"。 一、 什么是 EDA？芯片设计的 "全流程总工程师" EDA 并非单一工具，而是一套覆盖芯片设计全生命周期的软件系统，如同 为工程师配备了 "超级大脑"。从千亿晶体管的布局规划到纳米级的信号完整 性验证，没有 EDA 的支撑，现代芯片设计将寸步难行。 其核心价值体现在三大环节：前端设计中，EDA 工具完成芯片架构搭建与 逻辑仿真，确保功能符合需求；后端实现阶段，通过物理设计工具完成晶体管布 局、布线与时序优化，在性能、功耗与面积间找到最优平衡；封装测试环节，则 借助专用工具解决多芯片集成的热仿真、信号干扰等问题。以 7nm 制程芯片 为例，其设计需处理超 1000 亿个晶体管的连接关系，传统人工方式需数百年， 而 EDA 工具可将周期压缩至 6 ...

Summary of Empyrean (301269.SZ) Conference Call Company Overview - **Company**: Empyrean (301269.SZ) - **Industry**: Electronic Design Automation (EDA) - **Market Cap**: Rmb41.6 billion / $6.0 billion - **Enterprise Value**: Rmb40.3 billion / $5.9 billion - **Current Price**: Rmb95.66 - **Target Price**: Rmb125.00 - **Upside Potential**: 30.7% [1][2] Key Points and Arguments Market Position and Growth - Empyrean is positioned as a leader in the local EDA market, benefiting from the trend of localization of EDA tools in China [1] - The company has developed total solutions for analog and memory EDA, but full-flow digital EDA and foundry EDA tools are still in the scaling phase [1] - Revenue contributions from digital and foundry EDA tools are expected to increase from 27% and 34% in 2024/25E to 39% and 43% in 2027/28E [1] Financial Performance and Projections - Revenue estimates for 2025-2028 have been revised down by 17%-20% due to lower expected revenues from digital and foundry EDA and increased R&D spending [1][20] - Expected revenue growth rates are 42% in 2026E and 40% in 2027E [1] - The company is projected to achieve revenues of Rmb1,979.1 million in 2026E and Rmb2,764.6 million in 2027E [6] Earnings and Valuation - The stock is currently trading at a P/E of 42x for 2028E and 29x for 2029E, which aligns with peers [2] - The target price has been revised down from Rmb155 to Rmb125, reflecting a 31% upside potential [2] - The downgrade from Buy to Neutral is based on slower-than-expected new product rollouts and longer timelines for EDA localization [2] Product Development and Client Adoption - Empyrean is developing point tools such as DFT (Design for Testability) and place and route tools for digital clients, which are crucial for increasing user adoption [3] - The company is focusing on the full coverage of digital EDA tools to meet rising demand for AI chips [3][19] Operational Challenges - The company faces challenges in the development of full-flow tools and the adoption timeline by ASIC/GPU or foundry clients [1][20] - High R&D spending is expected to continue, impacting operational efficiency in the short term [20] Financial Metrics - Projected EBITDA for 2026E is Rmb245.0 million, with a net income of Rmb346.5 million [6][17] - The company’s gross margin is expected to decline slightly from 93.3% in 2024 to 90.5% in 2028 [23] - Free cash flow is projected to be negative in 2025E but positive in subsequent years, reaching Rmb841.1 million in 2027E [29] Additional Important Insights - The company’s account receivable days are expected to improve from 147 days in 2024 to 139 days in 2028E, indicating better cash flow management [24] - The cash conversion cycle is projected to decrease from 262 days in 2024 to 146 days in 2028, reflecting improved operational efficiency [27] - The company’s valuation is based on a target multiple of 45x for 2029E EPS, which is derived from the correlation between P/E and forward earnings growth among peers [31][32] This summary encapsulates the key insights from the conference call regarding Empyrean's market position, financial performance, product development, and operational challenges, providing a comprehensive overview for potential investors.

Core Viewpoint - The article emphasizes the evolution of the integrated circuit industry in China from the "Sixth Five-Year Plan" to the "Fourteenth Five-Year Plan," highlighting its development, current status, and global competitive landscape, while identifying challenges and proposing strategies for the "Fifteenth Five-Year Plan" [1]. Group 1: Economic Long Wave Cycle - The world economy exhibits a 50-year long wave cycle, known as the Kondratiev cycle, with the fifth cycle driven by the information industry, particularly the integrated circuit sector [3][4]. - China's GDP has shown a steady increase since the late 20th century, with projections indicating that by 2035, China's GDP could reach approximately $33.8 trillion, potentially rivaling that of the United States [5][6][7]. Group 2: Integrated Circuit Industry Development - The integrated circuit industry in China has evolved significantly since the 1950s, with key milestones including the establishment of major companies like SMIC and the rapid growth of the industry post-2001 [19][20]. - The sales revenue of China's integrated circuit industry has increased dramatically, with projections for the "Fifteenth Five-Year Plan" indicating an average annual sales revenue of 104 billion yuan [20][22]. Group 3: Current Status and Challenges - The integrated circuit industry in China has achieved 100% self-sufficiency in critical areas related to national security, with significant advancements in electronic design automation (EDA) and chip design [28][30]. - Despite progress, the industry faces challenges such as fragmentation, lack of collaboration between upstream and downstream enterprises, and the need for improved data statistics and industry standards [50][51][52]. Group 4: Key Segments of the Integrated Circuit Industry - The EDA market is dominated by three major foreign companies, while domestic firms like Beijing Huada Jiutian Technology Co., Ltd. have made significant strides, ranking sixth globally [28][29]. - In chip design, domestic companies are increasingly competitive, with firms like HiSilicon and Unisoc leading in smartphone processor design [30][32]. - The manufacturing segment is represented by SMIC, which has achieved a global market share of 33% for chips with a process node of 28 nm or larger, ranking third globally [33]. - The packaging and testing segment is led by companies like Jiangsu Changjiang Electronics Technology Co., Ltd., which ranks third globally in revenue [34]. - The semiconductor equipment sector is witnessing a trend towards localization, with companies like North Huachuang Technology Group Co., Ltd. ranking sixth globally [35][36]. Group 5: Investment and Future Outlook - The National Integrated Circuit Industry Investment Fund has played a crucial role in supporting the industry's development, with significant capital allocations planned for the future [44][47]. - The article stresses the importance of addressing the challenges of small and fragmented enterprises, enhancing collaboration, and improving data accuracy to foster a more robust integrated circuit industry in China [50][52].

Quantitative Models and Construction Methods - **Model Name**: CNI Industrial Software Theme Index **Model Construction Idea**: The index aims to comprehensively reflect the overall performance of China's industrial software industry by selecting 50 stocks from companies involved in industrial R&D design software, industrial production information software, industrial enterprise business management software, and industrial automation software[2][32][33] **Model Construction Process**: 1. **Sample Space Definition**: Includes A-shares and depositary receipts of red-chip enterprises meeting the following conditions: - Non-ST or *ST securities - Listed for over 1 year on the STAR Market or Beijing Stock Exchange, and over 6 months for other securities - No major violations or financial issues in the past year - No abnormal operations or significant losses in the past year - No abnormal price fluctuations during the observation period - Business involvement in industrial software-related fields such as R&D design, production information, business management, and automation software[33] 2. **Selection Method**: - Calculate the average daily trading volume and market capitalization over the past six months for eligible securities - Exclude the bottom 10% of securities by average daily trading volume - Rank the remaining securities by average daily market capitalization and select the top 50 as index components. If fewer than 50 securities meet the criteria, all eligible securities are included[33] 3. **Weighting Method**: The index uses the Paasche weighting method and adjusts weights to ensure that the weight of industrial R&D design software is not less than 50%[33] 4. **Periodic Adjustments**: The index is adjusted semi-annually on the trading day following the second Friday of June and December[33] - **Model Evaluation**: The index is highly focused on the industrial software sector, with a strong emphasis on innovation and small-cap characteristics, making it a valuable tool for capturing growth in this industry[32][34][39] --- Model Backtesting Results - **CNI Industrial Software Theme Index**: - Annualized Return: 2.52% - Annualized Sharpe Ratio (IR): 0.23 - Annualized Volatility: 30.01% - Maximum Drawdown: -61.56%[56] --- Quantitative Factors and Construction Methods - **Factor Name**: R&D Intensity Factor **Factor Construction Idea**: Measures the innovation capability of index components by calculating the proportion of R&D expenses to operating revenue[36] **Factor Construction Process**: - Formula: $ R&D\ Intensity = \frac{R&D\ Expenses}{Operating\ Revenue} $ - Data: - 2022: 4.31% - 2023: 8.64% - 2024: 8.71% - 2025 (Q3): 9.22%[36][37] - **Factor Evaluation**: The continuous increase in R&D intensity highlights the sector's strong focus on innovation and technological advancement[36][37] --- Factor Backtesting Results - **R&D Intensity Factor**: - 2022: 4.31% - 2023: 8.64% - 2024: 8.71% - 2025 (Q3): 9.22%[36][37] --- Additional Observations - The index exhibits a strong small-cap bias, with an average market capitalization of 276.24 billion RMB, and over 70% of its components having a market cap below 200 billion RMB[45][46] - The index is highly concentrated in the computer industry (62%), with significant weights in sub-sectors like software (38.63%), cloud services (15.69%), and electrical equipment (15.51%)[39][42] - The index includes 34 "specialized, refined, distinctive, and innovative" (SRDI) companies, accounting for 68% of its components, significantly higher than other mainstream indices[49][53] - Projected growth: - 2025E Net Profit Growth: 59.22% - 2026E Net Profit Growth: 30.12% - 2025E EPS Growth: 59.93% - 2026E EPS Growth: 59.32%[47][51]

Investment Rating - The report maintains an "Optimistic" rating for the AI4S industry, highlighting its role as a key multiplier for new productive forces and future industry development, supported by policy backing and technological advancements [5][4]. Core Insights - AI4S (AI for Science) is positioned as the first priority in the "Artificial Intelligence+" action plan, emphasizing its significance in accelerating scientific discovery and enhancing research efficiency across various foundational disciplines [12][11]. - The report outlines a clear investment strategy along the technology chain, focusing on core segments with high potential, including upstream AI4S-specific computing power, midstream cross-scale computing, and downstream innovative materials and pharmaceuticals [5][4]. - The report emphasizes the importance of understanding the technology chain and ROI of AI4S, which can lead to significant cost savings and efficiency improvements in research and development [18][5]. Summary by Sections 1. Top-Down Analysis of AI4S - AI4S is recognized as a critical accelerator for new productive forces and future industries, with its integration into various foundational scientific research areas [11][12]. - The report discusses the importance of AI4S in international competitive fields, suggesting its application can enhance research capabilities in key technological areas [17][11]. 2. Bottom-Up Analysis of AI4S Technology Chain and ROI - The report details a six-layer breakdown of the AI4S technology chain, spanning micro, meso, and macro levels, each with specific outputs and implications for investment [18][19]. - It provides analogies to help investors understand the complex technology, comparing AI4S processes to stock investment decision-making and deep learning image recognition [33][36]. 3. Industry Chain: Technical Segmentation and Business Models - The AI4S industry chain is segmented into upstream (computing power and databases), midstream (cross-scale computing and experimental robotics), and downstream (materials and pharmaceuticals) applications [7][4]. - The report highlights the importance of identifying genuine AI4S companies based on their technological capabilities and data sources [7][6]. 4. Participants in the AI4S Market - The report lists potential investment targets in the secondary market, including companies like JingTai Holdings and ZhiTe New Materials, which are positioned at the intersection of AI4S and their respective industries [5][4]. - It also identifies key players in the primary market, emphasizing their potential for capital market entry and growth [5][4].

Investment Rating - The report maintains an "optimistic" rating for the AI4S industry, highlighting its role as a key multiplier for new productive forces and future industry development, supported by policy backing and technological penetration [6]. Core Insights - AI4S is positioned as the first priority in the "Artificial Intelligence+" action plan, emphasizing its significance in accelerating scientific discovery and enhancing research and development efficiency across various fields [15][17]. - The report outlines a clear investment strategy along the technology chain, focusing on core segments with high potential in AI4S, including upstream dedicated computing power, midstream cross-scale computing, and downstream innovative materials and drugs [6][8]. - The report emphasizes the importance of understanding the technology chain and ROI of AI4S, which can lead to significant cost savings and efficiency improvements in research and development [6][23]. Summary by Sections 1. Overview of AI4S - AI4S is recognized as a foundational technology that permeates various basic scientific research fields and is crucial for international competitive domains [14][19]. - The report categorizes AI4S into narrow and broad definitions, with narrow AI4S focusing on specific applications in pharmaceuticals and materials, while broad AI4S encompasses a wider range of scientific disciplines [19][44]. 2. Technology Chain and ROI - The report details a six-layer breakdown of the technology chain from micro to macro levels, illustrating how AI can achieve a "structure-performance" mapping [23][24]. - It provides analogies to help investors understand the complex technical aspects of AI4S, comparing it to investment decision-making processes and deep learning image recognition [39][43]. 3. Industry Chain Analysis - The AI4S industry chain is segmented into upstream, midstream, and downstream components, focusing on dedicated computing power, cross-scale computing platforms, and applications in materials and pharmaceuticals [8][21]. - The report identifies key players in both secondary and primary markets, highlighting companies with significant potential for growth and innovation in the AI4S space [6][21]. 4. Market Participants - The report lists various companies in the secondary market, such as JingTai Holdings and Ningde Times, which are positioned at the intersection of AI4S and their respective industries [6][21]. - It also mentions primary market representatives like SiLang Technology and DeepForce Technology, indicating their potential for capital market entry [6][21].

Investment Rating - The report maintains an "Outperform" rating for the industry, indicating a positive outlook compared to the broader market [3]. Core Insights - The AI application landscape is rapidly evolving, with significant advancements expected in 2026, which will impact traditional sectors such as software, film, and media [6]. - Domestic AI models are increasingly competitive with international counterparts, particularly in terms of performance and cost, suggesting a potential shift in the global AI model competition [6]. - The demand for AI inference is rising sharply, leading to increased pricing actions from model and cloud service providers, which benefits companies within the industry [6]. Industry Data Summary 1. Industry Data - The software industry in 2025 is projected to generate revenues of 15.48 trillion yuan, reflecting a year-on-year growth of 13.2% [12]. - The IC design sector is expected to grow by 18.9% in 2025, while cloud computing and big data services are anticipated to grow by 13.6% [19]. - The information technology service revenue is expected to increase by 14.7%, further solidifying its share of the overall software business revenue to 68.7% [27]. 2. AI Developments - Major AI models are being released, with significant competition expected in the market, particularly with the upcoming launches of models like DeepSeek-V4 and others in February 2026 [33]. - The pricing of domestic models is significantly lower than that of international models, enhancing their attractiveness for various applications [39]. - The user engagement for AI applications is increasing, with notable growth in active users for platforms like Gemini and ChatGPT [44]. 3. Domestic Market Dynamics - Domestic chip manufacturers are expected to benefit from restrictions on foreign competitors, with companies like Huawei and Dawning making significant advancements in AI computing capabilities [6]. - The report highlights the increasing capital expenditures from overseas tech firms, raising concerns about market dynamics [6]. - The MaaS (Model as a Service) market is projected to grow rapidly, with significant contributions from companies like ByteDance and Alibaba [56].

Group 1 - The three major indices collectively declined, with the ChiNext software sector experiencing a rise followed by a pullback, indicating mixed performance among constituent stocks [1] - The ChiNext software ETF from Huaxia has recently shown a trend of capital inflow, with a net subscription of 24.66 million yuan over the past three days [1] - Guotai Junan emphasizes that by 2026, AI applications are expected to transition from "usable" to "user-friendly," becoming a core theme in the AI industry market [1] Group 2 - The top ten weighted stocks in the ChiNext software index account for 48.61% of the index, with notable companies including Tonghuashun, Runze Technology, and Kunlun Wanwei [2] - The performance of key stocks within the index shows varied results, with some stocks like Huada Jiutian and Softcom Power showing positive changes, while others like Deepin Technology and Kunlun Wanwei experienced declines [3]