Investment Rating - The report rates the computer industry as "Positive" [1] Core Insights - Domestic large model capabilities are strengthening, with Chinese manufacturers demonstrating competitive barriers in "local capability SOTA" and cost-effective computing power utilization [3] - The rapid iteration of large models enhances reasoning capabilities, significantly benefiting upstream infrastructure, with cloud services and core computing components being the main beneficiaries [3] - The industrial software sector possesses a deep moat, as it requires a collaborative computing network across cloud, edge, and terminal, with higher security demands that general large models cannot meet [3] - The synergy between computing and electricity policies is accelerating the growth of intelligent power scheduling and trading services, while also promoting the export of tokens and energy [3] - Investment recommendations focus on midstream domestic large models, upstream cloud service providers, and hardware companies capable of domestic substitution, as well as downstream industrial AI solution providers [3] Summary by Sections 01 Strengthening of Domestic Large Models - Domestic large models have entered a dual-driven phase of "intelligent agent engineering" and "native multimodal" [12] - Major companies like Alibaba and ByteDance have released flagship models that enhance agent capabilities, marking a shift from mere conversational tools to execution agents [14] - Domestic large models have shown significant improvements in long context, multimodal, and collaborative capabilities [19] 02 Explosion of Token Demand - The daily average token usage in China is projected to increase from 100 billion in early 2024 to 100 trillion by the end of 2025, with a current surge to 140 trillion [26] - The transition to Agentic AI has led to a structural explosion in reasoning power demand, with active agents expected to grow from approximately 28.6 million in 2025 to 2.216 billion by 2030 [26][36] - The demand for reasoning power is expected to drive significant increases in cloud computing prices, with major cloud providers already implementing price hikes [51] 03 Industrial AI and Computing-Electricity Synergy - The integration of computing and electricity is expected to optimize energy consumption and stabilize power systems, with a focus on achieving carbon neutrality [3] - The report highlights the importance of industrial AI solutions that can provide intelligent scheduling and trading services in the context of computing-electricity synergy [3]

Core Viewpoint - The collaboration between industrial giants, cloud computing platforms, and robotics signifies a shift of AI from the internet realm to the industrial era, marking the beginning of a new phase in AI development focused on physical world applications rather than just virtual ones [1][3][16]. Group 1: Collaboration and Integration - The partnership between Siemens, Alibaba Cloud, and Yuzhu Technology represents a significant step towards achieving a "closed-loop" system in industrial AI, integrating software, cloud computing, and robotics [5][6]. - Siemens provides industrial software and automation systems, serving as the "operating system" for manufacturing, while Alibaba Cloud offers scalable computing power and infrastructure, addressing concerns about data security and deployment costs [6][9]. - Yuzhu Technology introduces humanoid robots that enhance the execution layer of AI, enabling adaptability in unstructured environments and solving the challenge of transitioning from simulation to real-world application [7][9]. Group 2: Advantages of the Chinese Market - China is identified as the optimal environment for the implementation of industrial AI due to its comprehensive manufacturing ecosystem and the willingness of local factories to adopt new technologies for efficiency gains [9][10]. - Local cloud providers like Alibaba have developed mature capabilities in data processing and service responsiveness, which are crucial for addressing the specific needs of Chinese enterprises [10][11]. - The rapid advancement in robotics within China, exemplified by Yuzhu Technology, is narrowing the gap with international competitors, making the commercialization of "robot + AI" more feasible [10][11]. Group 3: Investment Implications - The collaboration indicates a paradigm shift in the industrial landscape, where the value chain is transitioning from traditional manufacturing to a focus on data, models, and execution capabilities [13][14]. - The importance of ecosystem collaboration is emphasized, as no single company can cover the entire industrial AI chain, necessitating a focus on connectivity and integration among cloud, models, and hardware [13][14]. - The efficiency gains from AI in manufacturing are expected to be exponential, with robots capable of managing multiple processes and continuously learning, which will significantly impact profit margins [15][16].

工业软件行业丨研究报告 摘要： 工业软件具有发展的紧迫性和必要性，且当前处于政策红利带的有利时间窗口期。 当前，我国工业和经济达到分水岭，经济体发展需要创新驱动，而工业软件作为工业知 识 的 载体，既是新型工 业化的核心生产资料和关键生产力，又是工业大脑和数字基 石，其 自主可控意义深远。不同于 国外工业软件是 先工业后软件的自然生长 ，我国的工业 软件先是用市场换 效 率，后是工业 和软件同步的压缩 式 发展，现在是追赶核 心技术可控，保障供应链安全。因此，当前工业软件既有发展的必要性，又有发展的紧迫性。 工业软件是一个慢行业，发展需要耐心和长期主义思想，同时在变化与重构中，也为企业带来机遇与挑战。 中国的工业软件市场是千亿的大盘子， 2024 年市场接近 3000 亿，市场增长稳健， 但 核心技 术空心、产业结构失衡等 问题凸显。当前，研发设计类工业软件是卡脖子最为 严重，其本质 是与数学 与基础 学科相关的根技术缺乏海量真实工业场景试错进行工程优化，表现为实体就是核心组件 / 引擎层受限。值得注意的是，根技术的突破没有捷 径可走，只能死磕 。 工业软件产业处于动态发展中，未来产业、市场、产品的发展方向值 ...

Core Viewpoint - The industrial software industry is at a critical juncture, necessitating innovation-driven development, with significant policy support and market opportunities ahead [1][4][12]. Group 1: Industry Background - Industrial software is essential for innovation and transformation in the economy, serving as a core production material and a digital foundation for new industrialization [4][7]. - Since 2018, China's per capita GDP has reached $10,000, marking a shift towards a more developed economy that requires innovation for further growth [4]. - The transition of control from hardware to software is evident, with industrial knowledge increasingly encapsulated in software code [4][9]. Group 2: Market Dynamics - The Chinese industrial software market is projected to approach 300 billion yuan in 2024, indicating robust growth despite challenges such as core technology gaps and structural imbalances [1][17]. - The market is characterized by a significant demand for domestic alternatives, particularly from leading clients, while mid-tier clients can form communities and long-tail clients can expand revenue opportunities [2][14]. Group 3: Product Evolution - Current industrial software primarily involves purchasing products, but the future will shift towards selling "intelligence," leading to the emergence of industrial intelligent agents [3][48]. - The evolution of industrial software is moving from tools to systems, platforms, and eventually to a genetic level, focusing on data value and efficiency [48][52]. Group 4: Driving Factors - Policy support and technological advancements, particularly in AI and large models, are accelerating the development and application of industrial software [12][19]. - The demand from enterprises emphasizes practical utility and domestic alternatives, while government initiatives focus on top-level planning and industry promotion [14][50]. Group 5: Challenges and Opportunities - The industry faces systemic issues related to technology, scenarios, ecosystems, and business models, with a significant focus on overcoming core technology deficiencies [26][39]. - The market is experiencing a shift towards platformization and the integration of data services, which presents opportunities for companies that can effectively leverage data [30][52]. Group 6: Future Directions - The industrial software sector is expected to evolve into a phase where products are not just tools but intelligent systems capable of autonomous task execution [52][54]. - Companies are encouraged to target head clients for technological breakthroughs while also engaging mid-tier and long-tail clients to enhance cash flow and industry integration [50][52].

Core Viewpoint - The article highlights the launch of the "Haidian District 2026 Economic and Social High-Quality Development Conference," marking the establishment of a significant 100 billion yuan fund aimed at fostering technological innovation and industrial growth in Haidian District, Beijing [2][5]. Fund Overview - The newly announced fund, the fourth phase of the Zhongguancun Science City Technology Growth Fund, has a total scale of 100 billion yuan, with 70 billion yuan allocated for direct investments in early and growth-stage projects [5][7]. - The fund's investment strategy includes a focus on early-stage projects, growth-stage projects, and key industrial links, with a specific emphasis on high-growth projects before Series B funding [7][8]. Investment Types - Investment types include result transformation-focused investments, industry collaboration with leading platform enterprises, and market-leading investments with a maximum contribution ratio of 50% [7]. - The fund also aims to support early-stage quality projects, including technology transfer from universities and research institutions, as well as projects led by top scientists and entrepreneurs [7][8]. Policy Support - The Haidian District has introduced 35 key policies to support enterprises, including financial incentives for technology transfer institutions and high-level innovation parks, as well as housing support for young talents [10][9]. - The policies are designed to cover the entire process of technological innovation and the full cycle of enterprise development, ensuring that various sectors and stages of development can find suitable support [10]. Industrial Development - The "1+X+1" modern industrial system has been established, with artificial intelligence as the core driver, supported by five strategic emerging industries and three future industries [11][13][14]. - Haidian's artificial intelligence market is projected to reach 3.6 trillion yuan by 2025, with 1,900 core AI enterprises and numerous research institutions contributing to a robust innovation ecosystem [14][15]. Ecosystem and Talent - Haidian boasts over 28,000 market entities, 265 listed companies, and nearly 10,000 national high-tech enterprises, forming a significant industrial cluster [15]. - The district is home to a large pool of talent, including 692 academicians and over 12,300 AI scholars, supported by a favorable business environment that attracts and retains high-end talent [15][16].

Group 1 - The core objective of Tianhe District is to achieve a GDP growth of over 5% and fixed asset investment growth of over 10% by 2026, with a total investment exceeding 800 billion yuan in over 500 projects this year [1][2] - The district aims to strengthen the modern service industry, focusing on high-end production services and enhancing the role of licensed financial institutions, which have surpassed 310 in number [1] - Tianhe will promote the transformation and upgrading of modern commerce, particularly in sectors like chemicals, automotive, and pharmaceuticals, while embedding high-end professional services into the manufacturing chain [1] Group 2 - The district plans to enhance the quality and diversity of life services, aiming to elevate the Tianhe Road-Zhujiang New Town commercial area to a trillion-level market, with over 300 unique consumer events planned [2] - The artificial intelligence industry is targeted to achieve revenue exceeding 62 billion yuan, with a growth rate of over 12% this year, focusing on sectors like AI and robotics, smart connected vehicles, and low-altitude economy [2] - Urban renewal projects will see an investment of 35 billion yuan, with specific initiatives targeting 22 urban villages and 27 renovation projects [2]

Group 1 - The industrial software ETF Boshi (159108) has seen a decline of 1.48% as of February 5, 2026, with the latest price at 1.07 yuan, while it has accumulated an increase of 8.73% over the past month as of February 4, 2026 [1] - The liquidity of the industrial software ETF Boshi showed a turnover rate of 2.59% during the trading session, with a transaction volume of 5.6082 million yuan, and the average daily transaction volume over the past month was 34.1823 million yuan as of February 4, 2026 [1] - Guangdong Province has issued implementation opinions to accelerate the high-quality construction of a digital society, focusing on the application of artificial intelligence technology and supporting the cultivation of AI application service providers in vertical fields such as "AI + industrial software" and intelligent robotics [1] Group 2 - Huatai Securities believes that the core logic of domestic AI application development is "scenarios first, efficiency is king," with clear and urgent demand in sectors like finance, government, healthcare, and industry, where data foundations are strong and payment capabilities are high [1] - The development of lightweight models and edge computing technology is expected to continuously reduce application costs, promoting widespread adoption among small and medium-sized enterprises [1] - The year 2026 is anticipated to be a critical year for AI applications transitioning from pilot projects to large-scale deployment [1] Group 3 - The industrial software ETF Boshi closely tracks the National Certificate Industrial Software Theme Index, which reflects the price changes of listed companies related to the industrial software industry on the Shanghai and Shenzhen stock exchanges [2] - As of January 30, 2026, the top ten weighted stocks in the National Certificate Industrial Software Theme Index (980034) include Huada Jiutian, Guanglian Da, Zhongkong Technology, and others, with these stocks collectively accounting for 56.17% of the index [2]

Core Insights - Both Fortive and Dayforce reported disappointing Q3 2025 earnings, revealing significant operational challenges despite some revenue growth [1][2][3] Fortive Summary - Fortive's Q3 revenue reached $1.03 billion, a modest increase of 2.3% year-over-year, but net income fell sharply from $222 million to $55 million, marking a 75% decline [2][4] - The operating margin decreased by 390 basis points to 15.5%, indicating lost pricing power in its automation and sensing businesses [2][5] - Full-year 2025 EPS is projected at $1.86, representing a 38% decline from $2.99 in 2024 [2][4] - The company operates in industrial automation and sensing, facing competitive pressure and weak demand, despite generating positive cash flow and maintaining a 0.55% dividend [5] Dayforce Summary - Dayforce reported Q3 revenue of $481.6 million, up 9.5%, but incurred a net loss of $196.8 million, significantly missing analyst expectations of a $0.21 profit [3][4] - The operating margin was negative at 25.8%, indicating that the company spends $1.26 in operating costs for every dollar of gross profit, which is unsustainable [6] - Full-year 2025 EPS is projected at -$0.04, down from $1.98 in 2024, marking a drastic shift in profitability [3][4] Analyst Sentiment - Analysts show limited optimism for both companies, with 14 of 18 analysts rating Fortive as Hold and a target price of $58.12, suggesting only a 3.4% upside [7] - Dayforce has 15 of 16 analysts at Hold, with a target price of $69.92, indicating a lack of momentum for both stocks [7] Investment Outlook - Current operational issues at Fortive and Dayforce suggest a wait-and-see approach until both companies can demonstrate improved execution and profitability [8]

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Group 1 - The core viewpoint of the news is that the AI cloud market in China is expected to experience significant growth, with Alibaba Cloud aiming to capture 80% of the market increment by 2026, indicating a transformative phase for the cloud computing industry driven by AI [1] - The AI and industrial software sectors are predicted to accelerate their integration, with IDC forecasting a compound annual growth rate (CAGR) of 41.4% for the AI+industrial software segment from 2024 to 2029, significantly outpacing the 19.3% CAGR of core industrial software during the same period [2] - The China Securities Artificial Intelligence Theme Index (930713) includes 50 listed companies that provide foundational resources, technologies, and application support for AI, reflecting the overall performance of AI-related securities [2] Group 2 - As of December 31, 2025, the top ten weighted stocks in the China Securities Artificial Intelligence Theme Index account for 58.08% of the index, with notable companies including Zhongji Xuchuang, Xinyi Sheng, and Cambricon [2] - The AI Artificial Intelligence ETF (512930) closely tracks the performance of the China Securities Artificial Intelligence Theme Index, providing investors with exposure to the AI sector [3]