证券研究报告|行业点评报告 [Table_Date] 2026 年 03 月 01 日 [Table_Title] 国产算力逻辑春节后全面夯实 [Table_Title2] 通信 [Table_Summary] 1、国产算力逻辑春节后全面夯实：Token 调用量首超 美国 + 芯片拐点验证 + 政策基建双轮驱动 春节后，国产算力逻辑进一步夯实，由 Token 数量暴增、国产芯 片业绩拐点使得算力全链条确定性提升。当前时点， 短期地缘冲 突（美以-伊朗升级）可能放大 risk-off 情绪，需警惕海外不确 定性对全球 AI 投资节奏的扰动，但在国内市场需求相对具有韧 性，国产模型的成本/生态提供较强对冲，国产算力全链条有望 在政策+成本双轮驱动下持续稳健提升。在视频、编程等核心领 域有望加速催化应用落地，同时国内相关算力需求有望拉动硬件 设备和算力租赁相关市场景气度，对于边缘端算力分发也有受 益。相关受益标的包括算力租赁和第三方数据中心厂商：光环新 网、数据港、润泽科技、协创数据、东阳光、大卫科技等；国产 芯片和昇腾生态相关厂商：寒武纪、海光信息、华胜天成等；海 外共振+国产推理放量受益的光联接相关：天孚通信、 ...

计算机 2026 年 3 月研究观点：中国模型领 跑全球调用量，软件吞噬情绪缓和 [Table_Invest] 评级： 增持 | [姓名table_Authors] | 电话 | 邮箱 | 登记编号 | | --- | --- | --- | --- | | 杨林(分析师) | 021-23183969 | yanglin2@gtht.com | S0880525040027 | | 吕浦源(分析师) | 021-23183822 | lvpuyuan@gtht.com | S0880525050002 | | 钟明翰(研究助理) | 021-38031383 | zhongminghan@gtht.com | S0880124070047 | 本报告导读： 2 月，中国模型调用量首超美国站至第一；模型应用层面，Grok 与谷歌多模态模型 加速迭代，Claude Cowork 插件体系扩容，企业级 Agent 向职能场景纵深落地，软 件吞噬情绪缓和。 投资要点： 请务必阅读正文之后的免责条款部分 风险提示：技术发展不及预期，公司业务拓展不及预期。 [Table_Report] 相关报告 计算机《计算机周观点第 ...

计算机 2026 年 3 月研究观点：中国模型领 跑全球调用量，软件吞噬情绪缓和 [Table_Invest] 评级： 增持 | [姓名table_Authors] | 电话 | 邮箱 | 登记编号 | | --- | --- | --- | --- | | 杨林(分析师) | 021-23183969 | yanglin2@gtht.com | S0880525040027 | | 吕浦源(分析师) | 021-23183822 | lvpuyuan@gtht.com | S0880525050002 | | 钟明翰(研究助理) | 021-38031383 | zhongminghan@gtht.com | S0880124070047 | 本报告导读： 2 月，中国模型调用量首超美国站至第一；模型应用层面，Grok 与谷歌多模态模型 加速迭代，Claude Cowork 插件体系扩容，企业级 Agent 向职能场景纵深落地，软 件吞噬情绪缓和。 投资要点： 请务必阅读正文之后的免责条款部分 风险提示：技术发展不及预期，公司业务拓展不及预期。 [Table_Report] 相关报告 计算机《计算机周观点第 ...

Investment Rating - The industry investment rating is "Buy" [4] Core Insights - The report highlights a significant increase in the weekly token usage of Chinese AI large models, surpassing that of the US for the first time, indicating a shift from "technology catch-up" to "application landing" [16][17] - The performance of domestic AI large models has improved significantly, with models like GLM-5 and MiniMax M2.5 closing the gap with international leaders, showcasing strong cost-performance advantages [30][35] - The rapid adoption of AI-assisted programming tools is driving token consumption, with companies like Anthropic experiencing substantial revenue growth due to high demand in software development scenarios [45][50] Summary by Sections Section 1: Token Usage Growth - From February 16 to February 22, 2026, the weekly token usage of Chinese AI large models reached 5.16 trillion, a 127% increase over three weeks, while US models dropped to 2.7 trillion [16][17] - The market for enterprise-level large models in China is showing a clear trend towards concentration, with the top three models accounting for 71.8% of daily usage by the second half of 2025 [17] Section 2: Performance and Cost-Effectiveness of Domestic Models - Domestic models like GLM-5, Qwen-3.5, and MiniMax M2.5 have entered the global top tier, with GLM-5 recognized as a benchmark in the open-source category [30][34] - The cost of API calls for domestic models is significantly lower than that of international counterparts, enhancing their attractiveness to developers and enterprises [24][35] Section 3: Coding and Agent Development - The report emphasizes that AI models like Claude from Anthropic dominate the coding space, with a 54% market share in AI coding tools, leading to a surge in revenue from $1 billion at the beginning of 2025 to $14 billion by February 2026 [45][49] - Domestic AI coding tools are rapidly evolving, with companies like ByteDance and Alibaba developing products that automate the entire software development process [50][52] Section 4: Investment Opportunities - The report suggests focusing on three investment dimensions: computing power (e.g., Cambrian, Inspur), tool software (e.g., Eazy Information, Star Ring Technology), and model and vertical applications (e.g., Zhiyuan, MiniMax, and others) [8][9]

计算机 | 证券研究报告 — 行业周报 2026 年 2 月 28 日 黄仁勋称代理式 AI 拐点已至； 朱雀三号有望年内复用飞行 计算机行业"一周解码" 英伟达 2026 财年第四季度财报营收与指引均超预期，黄仁勋称代理式 AI 拐点已至， 并看好云厂商资本支出转化收益；蓝箭航天计划于 2026 年第二季度再次开展朱雀三 号火箭回收试验，若成功，将在第四季度尝试首次重复使用飞行。 支撑评级的要点 投资建议 ◼ 建议关注 AI Agent、云与基础设施及商业航天板块企业，包括汉得信息、用友网 络、赛意信息、鼎捷数智、润泽科技、博睿数据、星环科技、中科星图、星图测 控、佳缘科技、航天宏图、上海瀚讯、盛邦安全等。 评级面临的主要风险 ◼ 技术创新不及预期；政策推行不到位；下游需求景气度不稳定的风险。 相关研究报告 《科技巨头加速 AI 军备竞赛，资本整合与 战略重组塑造行业新格局》20260130 《持续把握商业航天机会》20260125 《AI 商业化加速落地，核心科技自主可控 需求再燃》20260119 中银国际证券股份有限公司 具备证券投资咨询业务资格 计算机 证券分析师：杨思睿 (8610)6622932 ...

（来源：淘金ETF） 教育ETF 1. 金现代 300830 公司专注行业数字化与低代码开发，主营电力、化工等领域信息化解决方案，拥有垂直领域专用大模型 与AI智能取数、AI配料智能体等核心产品，深度服务央企与工业企业数智化转型。在AI应用全面爆发 背景下，公司依托低代码+AI开发优势，可快速对接阿里云、华为云开放工具与大模型能力，大幅缩短 项目交付周期、降低研发成本，AI赋能工业生产、设备管理、质量管控等场景落地加速，订单与交付 效率同步提升，充分受益于全行业AI应用普及与企业数字化需求扩张，成长空间持续打开。公司在电 力信息化领域具备深厚积累，AI技术与行业Know-How深度融合，可快速响应客户智能化升级需求，随 着AI开发成本下降与落地效率提升，其在能源、化工等行业的AI解决方案有望加速复制，进一步巩固 市场地位，打开业绩增长新空间。 2. 赛意信息 300687 公司是国内领先的企业数智化服务商，聚焦智能制造、工业软件与ERP实施，为电子、光伏等行业提供 MES与工业互联网解决方案，自研谷神工业大模型与PCB行业垂直模型，AI解决方案已实现规模化订单 落地。作为华为MetaERP核心合作伙伴，公司深 ...

Core Viewpoint - The Guangzhou Tianhe District High-Quality Development Conference emphasizes the integration of industry and commerce, with a focus on the development of industrial software and AI to support the digital transformation of enterprises [1] Group 1: Company Strategy - Saiyi Information aims to leverage "Industrial Software + AI" as its core development direction, utilizing its technological accumulation and policy support from Tianhe District to empower enterprises in their digital transformation [1][2] - By 2026, the company plans to iterate its core capabilities across three main directions, enhancing the deep integration of technology and industrial scenarios [3] Group 2: Service Offerings - For large enterprises, Saiyi Information has developed an industrial internet and software platform that provides integrated services covering production, marketing, process management, and supply chain [3] - The company has created the SIE IDP platform specifically for small and medium-sized enterprises, enabling them to manage the entire core business process from order to delivery, while fostering a digital ecosystem for industry cluster development [3] Group 3: AI Application Expansion - Saiyi Information has integrated high-value AI solutions into traditional industries such as PCB and home appliances, enhancing their transformation and upgrade processes [3] - The company's self-developed PCB industry model based on GPT has been recognized as a typical case of "Artificial Intelligence +" in Guangzhou and is currently applied in six of China's top ten PCB companies [3] Group 4: Ecosystem Collaboration - The establishment of Guangzhou's first industrial software application promotion center has allowed Saiyi Information to collaborate with domestic partners like Huawei and Zhongwang Longteng, creating a synergistic force to provide "Industrial Software + AI" services [4] - Since its establishment in August 2024, the center has helped companies obtain subsidies for domestic industrial software applications, alleviating initial investment costs and promoting collaborative efforts in production, education, research, and application [4] Group 5: Future Development Plans - Saiyi Information's growth is supported by the Tianhe District's comprehensive policies, with plans to focus on three areas by 2026: accelerating technology transfer through innovation projects, exploring new market spaces in robotics and low-altitude aircraft, and deepening collaboration with industry leaders [5]

赛意信息董事长兼CEO张成康表示，推广中心已帮助相关企业获得国产工业软件应用补贴，有效缓解了企业在初始投入阶段的成本压力；同时，推广中心 已与华为、中望龙腾等多家核心工业软件厂商完成深度对接，整合多方资源形成合力，共同为企业提供安全可靠的整体解决方案。截至目前，推广中心已 举办近百场参观、考察、交流及对接活动，进一步促进了工业软件厂商与制造业企业的精准对接，加速了国产工业软件的市场化落地，让科技服务的"含 金量"转化为产业发展的"高质量"。 工业软件是科技服务与制造业深度融合的核心纽带。作为扎根广州二十余载的本土企业，赛意信息凭借在工业软件领域的深厚积累及资源优势，依托广州 市工业软件应用推广中心打造综合性公共服务平台，通过政策辅导等帮助企业争取补贴，整合华为、中望龙腾等厂商资源提供整体解决方案，累计举办近 百场对接活动，用科技服务为产业升级铺路搭桥。同时，赛意信息自主研发的"基于善谋GPT的PCB行业大模型"获评广州市"人工智能+"典型案例，以实 用型AI解决方案为企业数智升级提速增效，为产业高质量发展注入强劲动能。 科技服务"含金量"转化为产业发展"高质量" 科技服务作为现代服务业中"追赶先进型"重点板块 ...

Core Insights - The industrial software industry is at a critical juncture, driven by the need for innovation and the urgency of development, particularly in the context of China's economic transformation and the push for self-sufficiency in core technologies [1][4][17] - The market for industrial software in China is projected to approach 300 billion by 2024, indicating robust growth despite challenges such as a hollowing out of core technologies and imbalanced industrial structures [1][17] - The evolution of industrial software is characterized by a shift from tools to systems, platforms, and eventually to a genetic level, focusing on data value and efficiency [2][48] Industry Dynamics - The industrial software market is large, with significant opportunities for companies to target head, mid, and long-tail customers, each with distinct needs and potential for revenue generation [2][50] - The core evolution path of industrial software is from tools to systems, then to platforms, and finally to genetic integration, emphasizing the importance of data flow and value efficiency [48][49] - The industry faces systemic challenges, including a lack of foundational technologies and difficulties in integrating into supply chains, which hinder the development of domestic industrial software [26][17] Product Development Trends - Current industrial software primarily focuses on product sales, but there is a shift towards selling "intelligence" as data assets are accumulated and utilized effectively [3][52] - The integration of AI and large models is expected to enhance the capabilities of industrial software, particularly in areas such as code generation and human-computer interaction [43][52] - Future products are anticipated to evolve into "digital engineers," capable of autonomous task execution and intelligent interaction, moving beyond traditional software tools [52] Market Characteristics - The industrial software market is characterized by a high degree of fragmentation, with varying levels of domestic replacement and integration needs across different customer segments [14][50] - The demand for industrial software is driven by practical applications in enterprises, government initiatives, and the integration of research institutions, each with unique procurement focuses [14][16] - The market is currently experiencing a transition from subsidy-driven growth to a more market-oriented approach, emphasizing the importance of innovation and self-sufficiency [19][12] Challenges and Opportunities - The industry is grappling with significant challenges, including a lack of core technologies in research and design software, which is critical for engineering optimization [23][17] - Companies are encouraged to leverage policy incentives and market opportunities to enhance their technological capabilities and address the "bottleneck" issues in core components [17][26] - The evolution of industrial software is expected to create new revenue streams through data value services, as companies adapt to the changing landscape of technology and market demands [30][52]

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