博时基金王萌：解析AI加持、国产替代下的工业软件“智造”浪潮

Group 1: Core Insights - The industrial software market is gaining attention due to multiple macro factors including policy support, industrial demand, external environment changes, and technological integration [1][2][3] - The Chinese government has set a target to update approximately 2 million sets of industrial software by 2027, providing a clear growth space for the market [1] - The strategic importance of industrial software has increased due to global manufacturing competition, technology blockades, and the need for data-driven innovation [1][2] Group 2: Impact of AI on Industrial Software - AI large models are accelerating the development of industrial software and lowering application barriers, with domestic models like DeepSeek shortening iteration cycles [2] - Investment opportunities are concentrated in multi-dimensional AI applications and product service systems, with generative design and quality root cause analysis being top investment directions [2] Group 3: Industrial Software Lifecycle - The industrial software industry is currently at a stage of uneven development across different categories, with a focus on high-end breakthroughs [3] - Embedded software has a large market size but faces challenges in competing with foreign products, while domestic management and production control software need further development to capture high-end markets [3] Group 4: Categories of Industrial Software - Industrial software can be categorized into four main types: R&D design software, production control software, digital management software, and embedded software, each serving distinct roles in the industrial process [4] Group 5: Technical Barriers in EDA, CAD, CAE - The high technical barriers in EDA, CAD, and CAE software are built on complex algorithms, engineering challenges, knowledge and data limitations, and ecological dependencies [5][6] Group 6: Investment Logic in Industrial Software - The core investment logic in the industrial software sector includes domestic substitution and demand release, product capability enhancement, and new opportunities brought by AI [7]