Investment Rating - The report suggests a focus on companies benefiting from the return of the US semiconductor, biopharmaceutical, and machinery manufacturing industries, highlighting leaders in industrial automation such as Siemens, Emerson, Rockwell, ABB, FANUC, Yaskawa, and Mitsubishi Electric [5][58]. Core Insights - The added value of the US manufacturing industry was $2.6 trillion in 2022, accounting for 15.1% of global manufacturing value, ranking second globally after China [1][54]. - The proportion of US manufacturing in GDP has declined from 28.4% in 2001 to 10.7% in 2022, significantly lower than the global average of 17.5% [1][54]. - The US manufacturing sector has experienced a compound annual growth rate of 1.5% from 2017 to 2022, lagging behind the global average of nearly 3% [1][54]. - The "hollowing out" of the US manufacturing sector is characterized by a shift towards capital optimization, with significant reliance on imports for key components [2][55]. - The US government aims to reverse the decline in domestic manufacturing to ensure national security, particularly in critical sectors like semiconductors and medical supplies [2][30][55]. Summary by Sections 1. Current State of US Manufacturing - The US manufacturing sector's absolute value is not low, but its contribution to the economy is overshadowed by the service sector [1][9]. - The manufacturing sector's decline is evident in its GDP contribution compared to other major economies [1][9][12]. 2. Impact of US Reshoring on Industrial Automation - Industrial automation is crucial for reducing costs and improving efficiency through the integration of manufacturing processes [3][56]. - The US industrial automation market has significant growth potential, particularly in the context of low robot density compared to other economies [3][37]. - The competitive landscape features established giants like Siemens and ABB alongside new entrants, with increasing competition driven by technological advancements and policy support [4][57]. 3. Key Companies and Market Outlook - Major players in the industrial automation sector include Siemens, ABB, Emerson, FANUC, Yaskawa, and Mitsubishi Electric, each with distinct strengths and market positions [5][58]. - The pharmaceutical and medical technology sectors are expected to drive growth in industrial automation from 2025 to 2030, while other sectors face challenges [4][57].

Group 1 - Siemens held its first "Technology and Talent Day" event in Suzhou High-tech Zone, showcasing the global debut of "Miao Yi Space," which creates realistic industrial digital twin scenarios [1] - "Miao Yi Space" utilizes a lightweight technology framework to overcome physical space limitations, enabling three-dimensional collaboration and efficient operations [1] - The platform integrates seamlessly with Siemens' cloud-native IT/OT integration development toolkit, allowing users to flexibly define workflows and build complex industrial scenarios in real-time [1] Group 2 - The launch of Siemens' Yangtze River Delta Artificial Intelligence Co-creation Laboratory 2.0 focuses on IT/OT integration, industrial foundational models, "AI + digital twin," and talent development [2] - The laboratory aims to accelerate the industrial application of "Miao Yi Space" by leveraging the manufacturing cluster advantages in Suzhou [1] - Siemens initiated the "AI Skills Enhancement Action" to systematically empower future talent development and launched the "Siemens China 2025 Zero Carbon Pioneer Award" to promote green innovation [2]

证监会网上办事服务平台信息显示，济南奥图自动化股份有限公司（下称"奥图股份"）IPO辅导状态已 变更为"辅导工作完成"。若一切顺利，奥图股份将递交材料冲刺北交所上市。 据相关公告，奥图股份2023年10月12日与中泰证券签署了辅导协议，截至2025年6月中泰证券共对其进 行了六期辅导工作，中泰证券认为奥图股份具备成为上市公司应有的公司治理结构、会计基础工作、内 部控制制度，充分了解多层次资本市场各板块的特点和属性。 公开资料显示，奥图股份成立于2007年6月，注册资本7591.23万元，于2015年10月在新三板挂牌。企业 专注于"工业机器人成套装备及生产线"的系统集成，致力于为制造行业提供全面优质的自动化集成服 务。奥图股份与行业里的著名厂商建立了密切的战略合作关系，其中不乏本特勒、舒勒、合锻智能、天 锻等国内外知名厂家。同时，也为多家优质车企提供服务，如比亚迪、长安汽车、吉利汽车、奇瑞汽 车、Stellantis集团、福特汽车。 年报显示，奥图股份2024年实现营业收入3.98亿元，同比微降0.48%；毛利率为33.88%，增长超过5个百 分点；归母净利润7022.84万元，同比增长39.49%。比亚迪股 ...

Group 1: Company Overview - The company operates two main business segments: automation and intelligence, and digitalization, which includes industrial internet, industrial software, and industrial AI software [2][4] - The product architecture consists of intelligent measurement and control devices, control systems, and industrial software, forming a complete product chain for various industries [4] Group 2: Market and Product Performance - The main products are Distributed Control Systems (DCS) and medium to large PLCs, primarily serving the energy, power, and chemical industries [5] - The DCS product line has seen rapid growth, with a market penetration rate of 43% for domestic DCS systems in the thermal power sector as of last year [5][6] - The potential market for PLCs in the steel industry is estimated at approximately 70 billion [5] Group 3: Industry Segmentation and Growth - The energy and power sector accounted for over 70% of the company's business last year, while the chemical sector contributed 16% [6][7] - The chemical sector experienced a decline in performance due to reduced industry capacity and lower market demand [7] - The steel sector has begun to see orders for PLCs, indicating a promising growth outlook [7] Group 4: Business Strategy and Future Plans - The company focuses on industrial automation, intelligence, and digitalization, with a growth strategy driven by domestic substitution policies [8][11] - Future market opportunities include the steel, cement, and water industries, with estimated market sizes of 70 billion, 8 billion, and 20 billion respectively [11] - The company aims to leverage its unique advantages in policy-driven domestic substitution and technological cost reduction to capture market share [11]

Core Insights - Suzhou's manufacturing industry contributes over 40% to its GDP, with 160,000 industrial enterprises across various sectors, highlighting its critical role in the global supply chain [1] - Companies in Suzhou are focusing on key technological breakthroughs, software ecosystem collaboration, and deep applications of intelligence to enhance the resilience of industrial supply chains [1][2] Group 1: Technological Advancements - Huichuan Technology emphasizes the importance of independent research and development, achieving a 97% self-sufficiency rate in key components [2] - Hengtong Group has developed a complete optical communication industry chain, having created China's first optical fiber preform, previously dominated by foreign entities [2][3] - Hengtong is expanding into new areas such as marine information technology and smart sensing, contributing to global information connectivity [3] Group 2: Software Development - Huichuan Technology launched China's first integrated industrial automation software platform (iFA) in February 2023, aiming to compete with international industrial giants [4] - Companies like Tongyuan Soft Control and Haocen Software are advancing industrial software capabilities, focusing on multi-terminal applications and cloud services to support digital transformation [5][6] Group 3: Smart Manufacturing - Smart transformation is essential for high-quality development in manufacturing, as demonstrated by SANY Heavy Industry's intelligent factory achieving over 81% automation in various processes [7] - Hengtong Fiber has implemented smart manufacturing practices, resulting in a 66% efficiency increase and significant reductions in manufacturing costs and defect rates [7] Group 4: Industrial Strategy - Suzhou's industrial strategy includes the parallel development of traditional, emerging, and future industries, leveraging its strong industrial foundation to foster growth in sectors like electronic information and biomedicine [8] - The goal is to build a modern industrial system with world-class competitiveness, positioning Suzhou as a leading "smart manufacturing city" [8]

Core Viewpoint - The company plans to establish a joint venture named "Luoyang Saimo Kechuang Co., Ltd." with its controlling shareholder and a private equity fund, aiming to enhance its core competitiveness in intelligent manufacturing through collaboration in automation product development and technology transfer [1][6]. Group 1: Investment Overview - The registered capital of the joint venture is set at 50 million RMB, with the company contributing 25 million RMB, representing 50% of the total capital [1]. - The joint venture will be included in the company's consolidated financial statements upon establishment [1]. Group 2: Related Party Transactions - The investment constitutes a related party transaction as it involves the company's controlling shareholder, Luoyang Kechuang Group, which is a wholly-owned subsidiary of Luoyang Guohong Investment Holding Group [2]. - The transaction has been approved by the board of directors, with related directors abstaining from voting, and does not require shareholder approval [2][7]. Group 3: Joint Venture Details - The joint venture will focus on research and development in the field of industrial automation products and technology cooperation with local research institutes [1][6]. - The governance structure includes a shareholders' meeting and a board of directors, with the company appointing three members and the controlling shareholder appointing two [5]. Group 4: Financial and Operational Impact - The investment aligns with the company's long-term strategic goals, promoting automation and intelligent development, and is expected to enhance sustainable operational capabilities and market competitiveness [6]. - The company will monitor the establishment and operation of the joint venture closely and fulfill its information disclosure obligations [6].

Core Viewpoint - The company plans to establish a joint venture named "Luoyang Saimo Science and Technology Co., Ltd." with a registered capital of 50 million yuan, aiming to enhance its competitiveness in the smart manufacturing sector through collaboration in automation product development and technology transfer [1] Investment Details - The registered capital of the joint venture is 50 million yuan, with the company contributing 25 million yuan (50%), Luoyang Science and Technology Group contributing 24.5 million yuan (49%), and Hangtou Fund contributing 500,000 yuan (1%) [1] - This investment constitutes a related party transaction but does not qualify as a major asset restructuring and is within the decision-making authority of the company's board of directors, thus not requiring shareholder approval [1] Strategic Goals - The joint venture will collaborate with local research institutes in Luoyang to focus on the research and development of automation products in the industrial sector [1] - The initiative aims to improve the conversion rate of scientific and technological achievements and accelerate the transformation and upgrading of traditional manufacturing [1]

2005年，丹麦外交部、工商界共同建立丹中商业协会，以加强两国企业界的交流与理解，促进丹麦和中 国的商贸合作。20年来，丹中商业协会持续组织高层商务互访和商业研讨活动，为两国商界提供政策简 报和市场分析。"我们为两国企业搭建可信赖的交流平台，就如何以最佳方式进入对方市场并确保相关 法规和条例得到遵守交换意见和经验。"蓬托皮丹介绍。 谈到中国不断扩大高水平对外开放，蓬托皮丹认为丹麦企业将从中受益："丹中两国都主张加强全球贸 易，丹麦对贸易的依赖程度很高。高水平对外开放的中国为我们带来更多发展机遇。" 20世纪80年代末，蓬托皮丹第一次前往北京。从1989年2月到1993年底，蓬托皮丹负责一家丹麦商业银 行在中国的业务，见证了中国经济的快速发展。"特别是在过去20年里，丹麦和中国之间的贸易量激 增。两国在这一时期的贸易量，占自1950年两国建交以来贸易总额的95%。仅从2020年到2024年，丹麦 在中国的净投资总额接近130亿丹麦克朗（约合143亿元人民币）。"蓬托皮丹说。 红色陶瓦斜屋顶、白色外墙、阁楼上精致的老虎窗，这栋典型的斯堪的纳维亚风格建筑，是丹麦中国商 业协会（以下简称"丹中商业协会"）在哥本哈根的 ...

Core Insights - The 2025 Hannover Messe showcased the ongoing transformation in the industrial sector driven by artificial intelligence, particularly generative AI, although no groundbreaking technologies were introduced [1] - The report by IoT Analytics highlighted that generative AI has become an integral part of industrial software, moving beyond being a buzzword to a common feature in major industrial software products [3][4] - Agentic AI is emerging as the next significant trend in the industry, although it remains in its early stages of development [7][9] Trend Summaries Trend 1: Generative AI Fully Integrated into Industrial Software - Generative AI has transitioned from a focus on coding to being embedded across industrial software, with major software vendors showcasing integrated functionalities [3] - Leading companies like Siemens and ABB have developed various industrial assistants that leverage generative AI for tasks such as design, planning, and operational support [4][6] Trend 2: Emergence of Agentic AI - Agentic AI is viewed as a significant future opportunity, with many vendors promoting its capabilities, although practical applications are still limited [7][9] - Companies are exploring multi-agent frameworks, but these remain in early exploratory phases without substantial real-world validation [8] Trend 3: Significant Innovations in Edge Computing - Edge computing is evolving to integrate AI technology stacks, enhancing local processing capabilities and responsiveness [10] - Companies like Bosch Rexroth are demonstrating platforms that support AI model deployment at the edge, optimizing for specific industrial scenarios [10][11] Trend 4: Growing Demand for DataOps Platforms - DataOps is becoming essential for managing the increasing volume of data in industrial settings, with platforms expanding their capabilities to support AI lifecycle management [13][14] - Companies are focusing on data governance to ensure compliance with regulations like GDPR, enhancing data observability and tracking [14] Trend 5: AI-Driven Digital Threads Transforming Design and Engineering - Digital threads are reshaping engineering processes by ensuring data continuity throughout the product lifecycle, as demonstrated by Siemens' new solutions [17] - Autodesk's Project Bernini showcases how generative AI can enhance early design processes, promoting a multi-modal design approach [17] Trend 6: Sensorization of Predictive Maintenance - Predictive maintenance solutions are increasingly integrating custom hardware with analytics models, focusing on sensor quality and system compatibility [18][19] - New solutions are extending predictive maintenance capabilities to previously overlooked asset categories, enhancing monitoring and fault detection [18] Trend 7: Rising Demand for Private 5G Networks - The demand for private 5G networks is growing, particularly in the US and Asia, but integration with existing infrastructure remains a significant challenge [21][22] - Companies are developing solutions that combine generative AI, edge computing, and private 5G for real-time industrial safety and asset monitoring [22] Trend 8: Sustainable Solutions Enhanced by AI - AI is improving carbon emissions tracking and compliance efficiency, with various applications being upgraded to enhance data visibility and accuracy [23] - Collaborative efforts, such as those between Microsoft and Accenture, are optimizing compliance processes through AI integration [23] Trend 9: Cognitive Capabilities Empowering Robotics - Robotics manufacturers are incorporating cognitive AI and voice interaction features, allowing users to control robots through voice commands [24] - This trend aims to enhance flexibility and reduce the need for specialized skills in manufacturing and logistics [24] Trend 10: Digital Twins Evolving into Real-Time Industrial Co-Pilots - Digital twins are transitioning from static models to dynamic tools that assist in operations, training, and quality control [25] - Companies like EDAG Engineering and Siemens are showcasing how AI-driven digital twins can optimize processes and enhance training efficiency [25]

其二，中国ESG实践引领全球减碳潮流，企业在绿色技术与可持续发展领域彰显强大竞争力。迈瑞医 疗、特锐德和汇川技术介绍了凭借领先的ESG管理和减碳技术赢得国际市场认可的成果。境外投资者对 这些企业在新能源和环保领域的创新应用兴趣浓厚，高度评价中国新能源产业链的全球化能力，并指出 ESG实践已从单纯的合规要求转变为企业增长引擎，中国企业正通过领先的碳减排技术锁定国际订单， 形成差异化竞争优势。 2025年6月4日至5日，深圳证券交易所(以下简称"深交所")在新加坡举办"投资中国新机遇——深市上市 公司新加坡交流日"活动。深圳迈瑞生物医疗电子股份有限公司(以下简称"迈瑞医疗（300760）")、深圳 市汇川技术（300124）股份有限公司(以下简称"汇川技术")、深圳麦格米特（002851）电气股份有限公 司(以下简称"麦格米特")、青岛特锐德（300001）电气股份有限公司(以下简称"特锐德")、深圳市英维 克（002837）科技股份有限公司(以下简称"英维克")等深交所市场(以下简称"深市")上市公司与新加坡 投资者进行了深度交流，全方位展示中国新质生产力发展成果，凸显相关领域上市公司的投资价值。 此次活动也收 ...