证券日报网12月17日讯万兴科技在12月16日回答调研者提问时表示，公司坚持多端矩阵化产品战略，视 频、绘图、文档、工具四大条线协同发展，全线推进产品的移动化、AI化，把握各个细分赛道的垂类 刚需场景机遇，持续孵化AI新品，夯实产品质量，打造长期稳健的竞争格局。万兴天幕大模型的竞争 优势，一方面体现在技术性能的突破与垂类场景的深度优化，ToMoviee2.0跻身文生视频大模型全球评 测榜单VBench-2.0综合得分全球Top3，在摄像机运动和运动合理性两项关键指标斩获全球第一，并联合 深圳广电、湖北卫视、大艺博ONLINE等媒体与展会等多方落地AI创作实践案例，获得众多创作者及行 业内的广泛认可。另一方面，万兴天幕大模型的竞争力也体现在性价比优势，公司通过与华为的战略合 作，借助华为的算力与基模优势，协同打造了兼具高性能与高性价比的天幕大模型，从而能够为用户提 供行业内极具竞争力的模型调用价格。 （文章来源：证券日报） ...

证券代码：300624 证券简称：万兴科技 编号：2025-004 | | 特定对象调研 □分析师会议 | | --- | --- | | 投资者关系活 | □媒体采访 □业绩说明会 | | | □新闻发布会 □路演活动 | | 动类别 | □现场参观 | | | □其他 （请文字说明其他活动内容） | | | 钛信资本、天辰元信基金、湖南格行资产、诺银资产、深圳圆石投资、新 | | 参与单位名称 及人员姓名 | 智达投资、兴泰联合、殷实基金、远东宏信、智鑫资本、深圳红石榴投资、 | | | 合心基金、西博创投等 37 名机构投资者与个人投资者（排名不分先后） | | 时间 | 2025 年 12 月 16 日下午 15:00 | | 地点 | 深圳市南山区软件产业基地 5 栋 D 座 3 楼会议室 | | 上市公司接待 | 董事会秘书、副总经理：刘江华 | | 人员 | 投关总监：吴琪 | | | 一、参观公司展厅 | | | 二、公司董事会秘书刘江华先生介绍公司基本情况 | | | 三、互动交流环节 | | | 1、公司的软件产品和大模型的主要竞争优势是什么？ | | 投资者关系活 | | | 动主要内 ...

Core Insights - Wankang Technology's global expansion has been recognized, with multiple products ranking on Xsignal's AI application lists, showcasing its strong market presence and product capabilities [1][2] Investment Highlights - The company achieved notable recognition in two authoritative lists by Xsignal, with its flagship video editing software Wondershare Filmora ranking second in the AI video editing category of the "Top 50 Overseas AI Applications" [2] - Wankang Technology has been a pioneer in the overseas digital creative software market, with over 90% of its revenue coming from international markets and a cumulative global active user base exceeding 400 million for Wondershare Filmora [2] - The company is leveraging AI to enhance its creative software offerings, aiming to empower individuals and stimulate creativity on a global scale [2] Product Development and Strategy - The company has made significant strides in mobile product development, with mobile revenue for its video creative product, Wankang Miaoying, increasing by over 100% year-on-year in the first three quarters [3] - Wankang Miaoying was showcased at the 2025 Google Developer Conference, receiving top recommendations and enhancing its global influence [3] - The company has upgraded its drawing and document creative products, introducing new features that evolve them into multi-modal knowledge management tools [3] Financial Performance - In Q3 2025, the company reported revenue of 382 million yuan, with a year-to-date revenue of 1.142 billion yuan, reflecting an 8.5% year-on-year increase [4] - The company continues to integrate self-developed models with third-party large models, achieving top rankings in global evaluations for its upgraded models [4] - Despite facing challenges with net profit, the company increased R&D expenses by 10.6% year-on-year, indicating a focus on long-term innovation [5] Future Outlook - The company is expected to generate revenues of 1.672 billion, 1.999 billion, and 2.448 billion yuan from 2025 to 2027, with corresponding net profits projected at 89 million, 156 million, and 251 million yuan [5] - The company maintains a "buy" rating based on its long-term commitment to digital enterprise services and AI innovation [5]

Group 1 - The core viewpoint of the article highlights that Wanjing Technology, an A-share listed company, is focusing on the integration of AI technology and industry, viewing the next decade as a golden window for this transformation [2] - Wanjing Technology's chairman, Wu Taibing, emphasized the shift from a manual content creation model to an automated one driven by AI agents, which will enhance the creative software industry [2] - The company plans to focus on three main directions: a dual-model strategy for advanced technologies, a multi-end product strategy for mobile and AI integration, and building an AI application ecosystem through global collaboration [2] Group 2 - In the past year, Wanjing Technology has received attention from 168 institutional investors regarding its AI initiatives, indicating strong market interest [2] - The company reported a revenue of 760 million yuan in the first half of the year, reflecting a year-on-year growth of 7.77% [2]

Core Viewpoint - The future ten years are seen as a golden window for the deep integration of AI technology and industry, with AI large models acting as new productivity tools that will upgrade the creative software industry from passive functionality to active collaboration [1] Group 1: Company Strategy - The company will focus on three main directions: maintaining a "dual-mode drive" strategy to accelerate the iteration of the Wankang Tianmu large model and expand user boundaries with AIAgent, promoting a multi-end matrix product strategy to enhance mobile and AI product development, and advancing the co-construction of an AI application ecosystem through global collaboration [1][2] - The company emphasizes that mobile product development is not merely a migration of desktop functionalities but involves deep insights into user needs in mobile scenarios, leading to a restructured product and operational strategy [2] Group 2: Financial Performance - In the first half of 2025, the company achieved a revenue of 760 million yuan, a year-on-year increase of 7.77%, with revenue growth accelerating quarter by quarter [3] - The revenue from mobile products grew by over 100% year-on-year, contributing to overall revenue growth and user base expansion, while AI-native application revenue increased by over 200% year-on-year [3] Group 3: Market Engagement - The company has engaged with 168 institutional research teams over the past year, indicating strong market interest in its AI layout [3] - The company recently accepted research from 49 well-known institutions, including Morgan Stanley and CICC, showcasing its commitment to transparency and investor engagement [5]

Core Insights - The rapid iteration of large models is driving an upgrade across the entire chain of computing power, data, and applications, reshaping future industries and investment landscapes [1] - The focus is shifting towards companies with a "moat and growth potential," particularly in infrastructure and vertical application sectors [2] Industry Trends - The demand for computing power is continuously rising due to the increasing model parameters and inference complexity, leading to a long-term upward trend in the demand for AI infrastructure such as high-performance GPUs and cooling systems [2] - The acceleration of application deployment is evident as stronger large models reduce the costs of business automation and intelligence, fostering new SaaS and vertical AI applications [2] - Competition in the ecosystem is intensifying, with leading model vendors forming platform capabilities and extending upstream and downstream, potentially increasing industry concentration [2] Company Strategies - Wanjing Technology has adopted a global strategy and focuses on empowering creators through creative software, aiming to package complex user needs into products that lower usage barriers [3] - The company has launched the Wanjing Tianmu multimedia large model, which has been upgraded to version 2.0, achieving industry-leading performance in quality, inference speed, and controllability through collaboration with Huawei [5] - Wanjing Technology's product matrix includes mobile apps, desktop solutions, and API services, catering to different user needs from casual creators to enterprises [6] Market Opportunities - The "productization" of large models is significantly impacting both B2B and B2C sectors, enhancing the value and sustainability of revenue streams [7] - For B2B, the evolution from tools to platforms allows for smarter data analysis and automation, increasing customer lifetime value and opening new commercial scenarios [7] - For B2C, large models enable scalable distribution of AI-generated content, enhancing user engagement and willingness to pay [7] Future Outlook - The emergence of multi-modal large models presents vast development potential, especially in video generation, which requires substantial computing power and presents higher technical barriers [9][10] - The AI landscape is expected to evolve towards a market-driven model, where companies with strong market presence and application scenarios will achieve commercial success [20] - The future of AI companies in China is promising, with a rich digital consumption market, a complete industrial chain, and strong policy support [21][22]

Core Insights - The rapid evolution of AI large models is creating significant industrial and investment opportunities, particularly in the areas of computing power, application deployment, and ecosystem competition [3][4][8] - Companies should focus on targets with a combination of competitive advantages and growth potential, especially in infrastructure and vertical application sectors [3][4] Group 1: Industry Trends - The demand for computing power is continuously increasing due to the growing complexity of model parameters and inference, leading to a long-term upward trend in the need for AI infrastructure [3] - The acceleration of application deployment is driven by the enhanced capabilities of large models, resulting in reduced costs for business automation and the emergence of new SaaS and AI applications [3][4] - Competition among leading model vendors is intensifying, potentially leading to increased industry concentration, where smaller firms without differentiated positioning may struggle to survive [3][4] Group 2: Company Strategy - The company has maintained a global strategy and aims to empower creators through creative software, focusing on simplifying user experiences by packaging complex user needs into accessible products [4][6] - The launch of the Wankang Tianmu multimedia large model 2.0, in collaboration with Huawei, has positioned the company as a leader in quality, inference speed, and controllability in the video model sector [5][11] - The company is adopting a "dual-mode drive" strategy, integrating mainstream large models into its products while advancing its own Tianmu model to ensure competitive advantages [11][12] Group 3: Market Opportunities - The rise of large models is transforming enterprise software from single-function tools to intelligent platforms, enhancing customer retention and lifetime value [8][9] - The ability of large models to open new commercial scenarios is creating additional revenue streams for AI companies, expanding their growth potential [8][9] - The market is increasingly valuing companies that can effectively integrate AI capabilities into their products, leading to higher valuations for those that can demonstrate strong user engagement and innovative applications [9][10] Group 4: Future Outlook - The company believes that the future of AI will involve a significant shift in industry structure, with a focus on market-driven strategies and the integration of technology with user needs [23][24] - The Chinese AI market is expected to benefit from rich application scenarios, a complete industrial chain, and strong policy support, positioning it favorably in the global landscape [25][26] - Companies that excel in expanding business models, building industry-specific barriers, maintaining cost advantages, and ensuring strong customer loyalty are likely to emerge as leaders in the AI era [26][27]

Core Viewpoint - The rapid iteration of large models is driving an upgrade across the entire chain of computing power, data, and applications, reshaping future industries and investment landscapes [2]. Group 1: Industry Insights - The recent advancements in large models signify not just improvements in algorithm capabilities but a comprehensive upgrade in computing power, data, and applications [5]. - The demand for computing power is continuously rising due to the increasing model parameters and inference complexity, leading to a long-term upward demand for AI infrastructure such as high-performance GPUs and cooling systems [5]. - The acceleration of application deployment is evident as stronger large models reduce the costs of business automation and intelligence, leading to a new wave of SaaS and vertical AI applications [5]. - Competition within the ecosystem is intensifying, with leading model vendors forming platform capabilities and extending upstream and downstream, potentially increasing industry concentration [5]. Group 2: Company Strategy - The company has maintained a global strategy and focuses on empowering creators through creative software, adapting to the complexity of various application scenarios [6]. - The launch of the Wanxing Tianmu multimedia large model 1.0 and its subsequent upgrade to 2.0, in collaboration with Huawei, has positioned the company as a leader in quality, inference speed, and controllability in the industry [8]. - The company aims to cater to both B-end and C-end users by providing tailored solutions that address the specific needs of creators, whether they are individual users or enterprises [9]. Group 3: Market Opportunities - The productization of large models is significantly impacting both B-end and C-end markets, enhancing the valuation models in the software industry [10]. - For B-end users, large models are evolving from single-function tools to intelligent platforms, increasing customer retention and lifetime value [10]. - For C-end users, large models are enabling new content and interaction forms, enhancing user willingness to pay and driving market valuation for companies that can create popular applications [10]. Group 4: Future Outlook - The company is focused on a "dual-mode drive" strategy, integrating mainstream large models while advancing its own Tianmu model to ensure competitive advantages and user satisfaction [12]. - The company believes that the future of AI applications will increasingly rely on the integration of AI capabilities into internal operations to enhance efficiency and competitiveness [21]. - The Chinese AI industry is expected to thrive due to its rich application scenarios, complete industrial chain, and strong policy support, positioning it favorably in the global market [24].