随着全球化浪潮的席卷，跨国企业如同一艘艘巨轮，在世界经济的海洋中乘风破浪。然而，船越大，调头越难。遍布全球的研发中心、生产基地和供应链网 络，使得产品从概念到市场的整个生命周期管理变得异常复杂。想象一下，一个设计团队在德国敲定了新的设计稿，如何能瞬间同步给中国的生产线和美国 的市场团队？当一个微小的零部件需要修改时，如何确保全球所有的相关方都能收到最新、最准确的信息？这不仅仅是效率问题，更关乎企业的核心竞争 力。产品生命周期管理（PLM）系统，正是为了解决这些挑战而生的"超级大脑"，它像一条无形的数字神经，将企业全球的"器官"紧密连接，协同运作。 跨国协作能力比拼 对于一个业务遍布全球的企业来说，PLM系统的跨国协作能力是其选型的关键考量因素。首当其冲的就是多语言支持和本地化。一个优秀的PLM系统，不 仅要提供标准的英文界面，还必须能够支持德语、中文、日语等多种语言，以适应不同国家和地区员工的使用习惯。这不仅仅是简单的界面翻译，更涉及到 对当地工程术语、流程规范的深度理解和适配。只有这样，才能真正消除语言障碍，让全球团队在同一个平台上高效沟通。 PLM系统为何至关重要 对于跨国企业而言，PLM系统早已不是一个 ...

证券日报网讯威力传动（300904）9月30日发布公告，在公司回答调研者提问时表示，公司减速器产品 种类较多，多品种的定制化产品生产管理过程复杂度较高，需要依靠完备的信息化系统实现系统化的管 理，打通生产订单下达、生产基础信息准备和下达、生产物资准备和物流、设备运行和管理、工序流转 及外协、质量控制和过程控制等全流程。目前公司已建立PLM系统(产品生命周期管理系统)、ERP系统 (企业资源计划管理系统)、MES系统(制造执行系统)和DNC系统(工业设备物联管理系统)，打通了生产 管理全过程。 ...

Core Viewpoint - The company reported its 2025 H1 financial results, which met expectations, showing a revenue of 1.045 billion yuan and a net profit of 45 million yuan, indicating a year-on-year growth of 4.08% and 6.09% respectively [1] Financial Performance - In 2025 H1, the company achieved a revenue of 1.045 billion yuan, a year-on-year increase of 4.08% - The net profit attributable to shareholders was 45 million yuan, reflecting a year-on-year growth of 6.09% - The net profit after deducting non-recurring items was 36 million yuan, which represents a year-on-year decrease of 9.89% [1] AI Business Growth - The AI business experienced significant growth, with revenue increasing by 125.91% year-on-year in 2025 H1 - The company leveraged its Athena platform to enhance AI applications, effectively empowering customer operations and reducing raw material costs by approximately 15% while improving product quality by 8% [2] - The company has successfully expanded its customer base across various industries, including automotive parts and equipment, establishing replicable benchmark cases [2] Internal Efficiency Improvements - The introduction of AI tools has led to enhanced management efficiency, with a total employee count of 4,794 as of the end of 2025 H1, a decrease of 6.26% from the previous year - The management expense ratio was 11.08%, a slight decrease of 0.04 percentage points year-on-year, while the R&D expense ratio was 8.20%, down 1.34 percentage points year-on-year [2] Business Segments Embracing AI - The company launched the first AI-integrated PLM system in the industry, signing contracts with nearly 100 clients and successfully deploying in several cases, which has effectively increased the average transaction value [3] - The AI intelligent suite was introduced to accelerate the integration of AI with ERP systems, adding new functionalities to enhance customer acceptance and penetration of AI [3] Regional Performance - In mainland China, the company reported a revenue of 476 million yuan in 2025 H1, a year-on-year increase of 4.61%, focusing on profitability improvement amid a slowdown in growth - In non-mainland regions, revenue reached 569 million yuan, a year-on-year increase of 3.65%, with a focus on AI opportunities in Taiwan and digitalization markets in Southeast Asia, where revenue grew by 60.87% year-on-year [3] Revenue Forecast - The company forecasts total revenue for 2025-2027 to be 2.06 billion yuan, 2.54 billion yuan, and 3.03 billion yuan respectively, with year-on-year growth rates of 32.47%, 23.22%, and 19.19% [4] Investment Recommendation - The company has initiated coverage with a "Buy" rating [5]

Group 1: Core Insights - PLM systems serve as accelerators for innovation by connecting design, manufacturing, and market feedback into a closed-loop ecosystem [3] - The implementation of PLM systems enhances product lifecycle management, leading to improved efficiency and innovation capabilities [4][6] Group 2: Data Integration and Collaboration - PLM systems centralize data management across the entire product lifecycle, improving data accuracy and traceability [4] - They facilitate cross-departmental collaboration, reducing communication costs and repetitive work [4][5] Group 3: Process Optimization and Cost Reduction - PLM systems standardize and automate R&D processes, increasing efficiency and ensuring compliance with industry standards [4][6] - Effective management through PLM systems can lower operational costs by minimizing errors and improving resource utilization [7] Group 4: Implementation Strategies - Companies must clearly define their needs and goals before implementing a PLM system to ensure targeted selection and planning [8] - A phased implementation approach is recommended to manage the complexity and ensure smooth progress [9] - Employee training and promotion of the PLM system are crucial for successful adoption and optimization [10] Group 5: Industry Applications and Evaluation - PLM systems are applicable across various industries, including automotive, aerospace, electronics, and medical devices [11] - The effectiveness of PLM system implementation can be evaluated through metrics such as R&D efficiency, product quality, and operational cost reduction [13]

Core Insights - The Chinese manufacturing industry is rapidly embracing digital transformation, with Product Lifecycle Management (PLM) systems becoming increasingly central to this process as companies seek to choose the most suitable PLM solutions to stand out in a competitive landscape [2][4]. Market Landscape - The 2025 Chinese PLM market is characterized by a complex competitive environment formed by international leaders and local challengers. Major international players like Siemens, Dassault Systèmes, and PTC dominate the market due to their strong technical capabilities and established product lines [3][4]. - Local companies, such as CAXA, are gaining traction by offering tailored services that resonate with local user habits and competitive pricing, leading to a more diversified market landscape [4][8]. Market Share Predictions - The projected market share for 2025 includes: - Siemens ~22% - Dassault Systèmes ~19% - PTC ~15% - CAXA ~12% - SAP ~10% - Others ~22% [7]. Trends in Technology - The PLM market is evolving beyond traditional document management to become an arena for innovative technology integration, with cloud-based PLM and SaaS models significantly lowering the barriers for companies to adopt these systems [9][10]. - AI is being increasingly integrated into PLM systems, enhancing their ability to understand and analyze data, thus unlocking their potential for driving innovation [11][17]. Industry-Specific Applications - The value of PLM systems is being realized through tailored industry applications, with leading PLM vendors investing in industry-specific solutions that address unique business challenges [12][14]. - Key industry requirements include: - Automotive: Complex BOM management, supplier collaboration, compliance, and quality management - Aerospace: Compliance, traceability, and lightweight material applications - High-tech electronics: Rapid iteration and hardware-software collaboration [14]. Future Outlook - The Chinese PLM market is expected to be vibrant and transformative by 2025, with three core trends: a reshaped competitive landscape featuring both international giants and local brands, technological innovation driving accessibility and intelligence, and deepened industry solutions enhancing customer value [15].

Group 1 - The core viewpoint of the articles highlights the successful hosting of the Dingjie Smart 2025 Digital Future Summit, which gathered nearly 1,000 participants to discuss the acceleration of AI in driving business scenarios and productivity innovation [1] - The company is leveraging its multi-modal large model and Agent development platform to empower enterprises and ISV partners to quickly build AI Agent applications, integrating capabilities from various general large models [2] - Dingjie Smart has established a collaborative initiative with Wuhan City and Huazhong University of Science and Technology to promote the integration of the digital economy industry [2] Group 2 - The chip manufacturing industry is seeing strengthened advantages, with successful implementations in automotive parts and other sectors, showcasing replicable benchmark cases across various industries [3] - Dingjie Smart has deepened cooperation with semiconductor packaging company Zhongke Zhixin, implementing a series of digital solutions, and has also introduced its PLM system to IC design company Jichuang Beifang [3] - The company serves over 600 industry clients, with 37% being top IC design firms, indicating a growing accumulation of client and solution advantages in the semiconductor sector [3] Group 3 - Dingjie Smart is actively expanding its presence in the Chinese market while also extending into broader overseas markets, focusing on integrated solutions for enterprises [4] - The company has achieved over 90% localization in its Southeast Asia teams, enhancing its local talent pool in Thailand, Vietnam, and Malaysia [4] - Revenue projections for 2025-2027 are estimated at 2.669 billion, 3.067 billion, and 3.465 billion yuan, with corresponding net profit forecasts of 202 million, 269 million, and 336 million yuan, reflecting significant growth rates [4]

Investment Rating - The report maintains an "Overweight" rating for the industry, consistent with the previous rating [2]. Core Insights - The report emphasizes that the competitive barriers in the AI application landscape are shifting from public information to private information, highlighting the importance of industry-specific know-how and private data for AI service providers [4][25]. - It identifies that enterprise-level AI agents, built on private information, represent the ultimate form of B2B applications, enabling personalized and efficient business solutions [30][33]. - The report suggests that private information services are poised to become a significant business opportunity as AI applications accelerate in the B2B sector [60]. Summary by Sections 1. Transition from Public to Private Information - The report discusses how the barriers in internet applications were historically based on the openness of information, which has now been disrupted by advanced AI models like DeepSeek [1.1][18]. - It notes that the value of public information is diminishing as AI models can utilize vast amounts of data, leading to a new focus on private information as a competitive advantage [1.3][25]. 2. Enterprise-Level AI Agents - The report outlines that traditional B2B applications are limited by clear functional boundaries and lack collaboration, which AI models can help integrate [30][32]. - It highlights that private information is crucial for developing personalized AI applications that can adapt to specific business needs, thus enhancing operational efficiency [35][36]. 3. Potential of Private Information Services - The report indicates that private information services will play a vital role in helping businesses leverage their unique data and industry knowledge to build customized AI workflows [60][61]. - It emphasizes that as companies accelerate their digital transformation, the demand for private information services will grow, creating new business models and opportunities [61][62].