丨证券研究报告丨 公司研究丨点评报告丨鼎捷数智（300378.SZ） [Table_Title] 数智未来峰会亮点频出，AI 全面赋能业务创新 报告要点 [Table_Summary] 6 月 19 日，公司以"AI 创变、破界生长"为主题，于武汉举办第四届数智未来峰会。会上创新 发布多款 AI 相关套件，并设立多个 AI 专题论坛共话 AI 落地现状与未来，标志公司 AI 赋能业 务融合与场景创新进展积极。公司坚定拥抱 AI 战略初显成效，商业化进展积极看好 2025 放 量。预计公司 2025-2027 年实现归母净利润 1.96 亿元、2.38 亿元、2.87 亿元，对应增速为 26%、22%、21%，对应 PE 为 44.4x、36.5x、30.2x，持续推荐。 分析师及联系人 [Table_Author] SAC：S0490520030004 SFC：BUX668 宗建树 宋浪 请阅读最后评级说明和重要声明 %% %% %% %% research.95579.com 1 鼎捷数智（300378.SZ） cjzqdt11111 [Table_Title2] 数智未来峰会亮点频出，AI 全面赋能业务创 ...

Investment Rating - The investment rating for the company is maintained as "Buy" [2] Core Insights - The company has launched the AI S-infra suite, which includes various AI solutions aimed at enhancing enterprise efficiency and driving growth [7] - The company is expected to achieve total revenue of 26.3 billion, 30.4 billion, and 36.1 billion for the years 2025, 2026, and 2027 respectively, with net profit projections of 2.1 billion, 2.5 billion, and 3.1 billion for the same years [7] - The company is positioned to benefit from the recovery in downstream market conditions, particularly in the manufacturing sector, which is expected to drive significant growth [7] Financial Data and Earnings Forecast - Total revenue is projected to grow from 2,331 million in 2024 to 3,606 million by 2027, reflecting a compound annual growth rate (CAGR) of approximately 18.5% [6][8] - The net profit is expected to increase from 156 million in 2024 to 312 million by 2027, indicating a strong growth trajectory [6][8] - The gross margin is forecasted to improve from 58.3% in 2024 to 62.5% by 2027, showcasing operational efficiency [6] Product and Market Development - The company has introduced a new generation of Agent construction platform, enabling users to create internal business processes and solutions through intuitive interfaces [7] - The launch of various AI-native "expert" Agents across multiple business functions is anticipated to enhance operational efficiency and uncover new growth opportunities [7] - The integration of AIoT capabilities with industrial AI solutions aims to optimize factory operations and improve responsiveness to anomalies [7]

Core Insights - The company held the 2025 (4th) Digital Intelligence Future Summit, where it launched the AI Soft Infrastructure (AI S-infra) suite, including various intelligent data and industrial software solutions [1] - The company showcased its multi-model collaborative problem-solving capabilities, integrating with commercial models from Microsoft and Alibaba, and developing industry-specific models based on accumulated data [1] - The release of Indepth AI 2.0 allows enterprises to quickly build Agents tailored to non-standardized needs through a user-friendly platform [1] - The company has introduced AI-native "expert" Agents across multiple fields, enhancing efficiency in procurement, sales, R&D, production, and finance [1] Industry Developments - The integration of AIoT with Industrial Mechanism AI enables dynamic data applications in factories, facilitating rapid response to anomalies and reducing manual management efforts [2] - The manufacturing Agents are expected to see rapid adoption due to their direct impact on efficiency, high customer willingness to pay, and a rich customer resource base [2] - The company’s fast product release and iteration pace positions it well for growth in the AI sector, particularly in the B-end AI market [2] - Revenue projections for 2025-2027 are estimated at 2.63 billion, 3.04 billion, and 3.61 billion yuan, with net profits of 210 million, 250 million, and 310 million yuan respectively [2]

Industry Rating - The industry rating is maintained at "Outperform" [1] Core Insights - The report suggests that the years 2025-2026 are expected to mark the commercialization of AI Agents, driven by advancements in large model capabilities and the introduction of key players like OpenAI, Anthropic, Microsoft, and Google [2][3] - The total addressable market (TAM) for AI Agents is estimated at approximately 3.61 trillion yuan, with significant opportunities in vertical industries such as IT and finance [2][3] - AI Agents are projected to replace specific standardized roles in various sectors, with a focus on enhancing productivity and ROI for businesses [3][48] Summary by Sections Investment Rating - The report maintains a rating of "Outperform" for the industry [1] Market Potential - The total addressable market (TAM) for AI Agents is estimated at 3.61 trillion yuan, calculated based on total salary levels, replacement rates, and efficiency optimization [50][54] - The report highlights six core scenarios where AI Agents are expected to penetrate first, including coding, banking, human resources, legal, cybersecurity, and customer service [61][62] Key Industry Insights - AI Agents are anticipated to significantly impact the banking sector, with 54% of jobs having a high potential for automation, leading to an estimated TAM of 1774.32 billion yuan in this field [71][77] - In the coding sector, AI is expected to automate up to 99% of coding tasks by the end of 2025, with a TAM of approximately 4357.84 billion yuan [63][68] - The report emphasizes that AI Agents will first replace roles in high-salary, white-collar industries such as finance, IT, and law, where the ROI for AI implementation is more favorable [55][57] Company Recommendations - The report suggests monitoring companies involved in general office applications and enterprise SaaS, as well as those in vertical markets like banking, human resources, and cybersecurity [3][4]

Group 1: Global AI Outlook - The report highlights a new paradigm in AI development characterized by new scaling, new architecture, and new total addressable market (TAM) opportunities [1] - The demand for computing power is expected to rise due to advancements in both training and inference processes, potentially unlocking new TAMs [1][3] - The report maintains a positive outlook on AI industry investments, anticipating that global AI applications will enter a performance harvesting phase [1] Group 2: Model Development - The pre-training scaling law is anticipated to open a new starting point for model development, with significant innovations in architecture being explored [2][23] - The report notes that the classic transformer architecture has reached a parameter scale bottleneck, with existing public data nearly exhausted [2][20] - Major tech companies are experimenting with new architectures, such as Tencent's Hunyuan TurboS and Google's Gemini Diffusion, which may accelerate scaling law advancements [23][24] Group 3: Computing Power Demand - The report identifies a clear long-term upward trend in computing power demand, driven by both training and inference needs [3][32] - New scaling paths are emerging in the post-training phase, with ongoing exploration of new architectures that may reignite pre-training demand narratives [3][33] - The deployment of large-scale computing clusters, such as OpenAI's StarGate, is expected to support the exploration of pre-training [38] Group 4: Application Development - The report indicates that the rapid advancement of agent applications is leading to a performance harvesting phase for global AI applications [4][67] - The commercialization of agent products is accelerating, with domestic AI applications quickly iterating and entering the market [4][67] - The report emphasizes that agent applications are evolving from simple tools to complex solutions, with significant growth expected in various sectors [5][68] Group 5: Business Model Transformation - The shift from traditional software delivery to outcome-based delivery is highlighted as a key trend, with quantifiable ROI accelerating the adoption of agent applications [5] - Specific sectors such as consumer-facing scenarios (advertising, e-commerce) and AI in marketing/sales are expected to lead in commercialization due to their inherent advantages [5][67] - The report notes that AI applications in HR are transitioning from efficiency tools to strategic hubs, indicating a broader transformation in business models [5][67]

Group 1 - The report highlights investment hotspots in May, focusing on robotics, particularly unmanned logistics vehicles, controllable nuclear fusion, digital currencies (stablecoins & RWA), mergers and acquisitions, and military industry, with a market preference for small-cap companies [6][22][23] - The robotics sector, especially unmanned logistics vehicles, showed strong performance, transitioning from 0 to 1 stage with companies like Jiushi and New Stone achieving significant order volumes and commercial deployment [6][24][25] - The report indicates that the AI sector continues to evolve, with major advancements in AI models and applications, including the DeepSeek-R1 model's upgrade, which significantly improved reasoning capabilities and performance metrics [47][49][50] Group 2 - The report notes that the controllable nuclear fusion sector is gaining momentum, supported by U.S. policy changes and accelerated project developments in China, with significant milestones achieved in the CRAFT project [39][40] - The digital currency sector is experiencing regulatory advancements, with the U.S. Senate passing the GENIUS Act and Hong Kong establishing a regulatory framework for stablecoins, indicating a growing acceptance and potential for market expansion [42][43] - The mergers and acquisitions landscape is evolving with new regulations aimed at simplifying processes and enhancing market-driven approaches, exemplified by the merger plans between Haiguang Information and Zhongke Shuguang [44][45]

Core Insights - The Chinese AI + office software industry is experiencing a critical phase characterized by significant market growth, accelerated technology integration, and deepened ecosystem restructuring, with a projected market size of 30.864 billion yuan in 2024, representing a year-on-year growth of 135.55% [1][15] - The maturity of large model technology is driving a qualitative change in product functionality, with leading products like Microsoft 365 Copilot and Kingsoft WPS AI achieving over 50% efficiency improvement for users through features like "one-sentence PPT generation" and "natural language formula writing" [1][15] - The deployment of edge AI is accelerating, with manufacturers like Lenovo and Huawei launching AI PCs that pre-install localized large models, enabling intelligent creation and data analysis in offline modes, addressing data security needs in sectors like government and finance [1][15] Industry Overview - AI + office software represents a deep integration of artificial intelligence technologies with traditional office tools, enhancing work efficiency, reducing costs, and providing a more flexible and personalized experience [2] - The industry can be categorized into five main areas based on functionality and application scenarios: AI + text processing, AI + data organization, AI + presentation writing, AI + project management, and AI + communication collaboration [2] Industry Development History - The industry has evolved through four main phases: 1. The nascent phase (2010-2015) where AI began to penetrate office software with basic automation tools [4] 2. The exploratory phase (2016-2020) marked by advancements in image recognition and natural language processing, leading to the implementation of intelligent document processing [4] 3. The rapid development phase (2021-2023) where products based on large models were launched, enabling automatic document generation and data analysis [5] 4. The maturity and innovation phase (2024-present) characterized by real-time processing of text, images, and audio, with the introduction of policies to regulate AI + office software development [6] Industry Value Chain - The upstream of the AI + office software industry includes foundational technologies and hardware support, such as chips, servers, data centers, and storage devices [8] - The midstream involves the production and manufacturing of AI + office software [8] - The downstream consists of enterprise and individual users, with enterprises being the primary customers seeking automation and efficiency improvements [8] Market Size - The market size of the AI + office software industry in China is projected to reach 30.864 billion yuan in 2024, reflecting a year-on-year growth of 135.55% [15] Key Companies' Performance - The competitive landscape is characterized by leading companies like Kingsoft Office, Alibaba Cloud, Tencent, Baidu, and iFlytek, with Kingsoft Office holding a dominant position due to its high penetration rate and AI functionality [17] - Kingsoft Office reported a revenue of 1.301 billion yuan in Q1 2025, a year-on-year increase of 6.22%, and a net profit of 403 million yuan, up 9.75% [20] - iFlytek and Foxit Software are also notable players, with Foxit integrating AI into its PDF solutions and achieving significant user engagement globally [18][22] Industry Development Trends 1. The integration of technology and innovation is leading to a new era of intelligent office solutions, with AI tools evolving from auxiliary functions to core productivity enhancements [24] 2. Market demand is shifting towards high-end, customized solutions, particularly in sectors like finance and government, which require enhanced data privacy and algorithm transparency [25][26] 3. The industry is transitioning from product competition to ecosystem competition, with major players building integrated platforms that combine AI capabilities with office software [27]

特别提示： 1、鼎捷数智股份有限公司（以下简称"公司"或"本公司"）回购专用证 券账户持有的 1,570,330 股公司股份不享有利润分配的权利，不参与本次权益分 派。 2、公司 2024 年度利润分配预案为：以截至公司第五届董事会第十五次会议 召开日公司总股本扣除回购专户中已回购股份后的 269,822,500 股（回购专户中 的股份数量为 1,570,330 股）为分配基数，向全体股东每 10 股派发现金股利人 民币 0.30 元（含税），不送红股，不以资本公积金转增股本，合计派发现金股 利人民币 8,094,675.00 元（含税）。在本利润分配预案经董事会审议通过之日 至公司权益分派实施日期间，如公司总股本、回购专户中已回购股份数量发生变 化，公司将按照分配总额不变的原则，相应调整每股分红金额。 3、本次权益分派实施后，按公司总股本（含回购股份）折算的每股现金分 红比例以及据此计算的除权除息参考价相关参数和公式计算如下： 按总股本折算的每 10 股现金红利=本次现金分红总额÷总股本× 10=8,094,675.00÷271,392,830×10=0.298264 元（保留六位小数，最后一位直 接截取， ...

保荐机构（主承销商） 关于鼎捷数智股份有限公司 向不特定对象发行可转换公司债券的审核 问询函 之回复报告 （福州市湖东路 268 号） 二〇二五年五月 鼎捷数智股份有限公司向不特定对象发行可转换公司债券申请文件 审核问询函回复 深圳证券交易所： 贵所《关于鼎捷数智股份有限公司申请向不特定对象发行可转换公司债券的 审核问询函》（审核函〔2025〕020017 号）（以下简称"问询函"）已收悉。 根据贵所要求，鼎捷数智股份有限公司（以下简称"鼎捷数智"、"发行人" 或"公司"）会同兴业证券股份有限公司（以下简称"兴业证券"、"保荐人"或 "保荐机构"）、北京海润天睿律师事务所（以下简称"发行人律师"）、上会会计 师事务所（特殊普通合伙）（以下简称"申报会计师"）等中介机构对问询函中所 提问题逐项核查，作如下回复，请予审核。 本回复中所用的术语、名称、简称，除特别注明外，与其在《鼎捷数智股份 有限公司向不特定对象发行可转换公司债券募集说明书（修订稿）》中的含义相 同。 本问询函回复报告中的字体代表以下含义： | 字体 | 含义 | | --- | --- | | 黑体加粗 | 问询函所列问题 | | 宋体 | 对问 ...

鼎捷数智股份有限公司 关于公司向不特定对象发行可转换公司债券申请文件 的审核问询函回复及募集说明书等申请文件更新财务 数据的提示性公告 证券代码：300378 证券简称：鼎捷数智 公告编码：2025-05046 本公司及董事会全体成员保证信息披露内容的真实、准确和完 公司本次向不特定对象发行可转换公司债券事项尚需通过深交所审核，并获 得中国证券监督管理委员会（以下简称"中国证监会"）作出同意注册的决定后 方可实施。该事项最终能否通过深交所审核，并获得中国证监会作出同意注册的 决定及其时间尚存在不确定性。公司将根据该事项的进展情况，按照有关法律法 规的规定和要求及时履行信息披露义务，敬请广大投资者注意投资风险。 特此公告。 鼎捷数智股份有限公司 董事会 二〇二五年五月二十七日 整，没有虚假记载、误导性陈述或重大遗漏。 鼎捷数智股份有限公司（以下简称"公司"）于 2025 年 4 月 29 日收到深圳 证券交易所（以下简称"深交所"）出具的《关于鼎捷数智股份有限公司申请向 不特定对象发行可转换公司债券的审核问询函》（审核函〔2025〕020017 号） （以下简称"审核问询函"）。 公司按照审核问询函的要求，会同 ...