格隆汇1月22日丨宝信软件(600845.SH)在投资者互动平台表示，公司目前通过控股子公司上海图灵智造 机器人股份有限公司开展机器人业务。未来将深耕钢铁行业，依托深厚的行业应用知识储备，推动机器 人规模化接入宝罗云平台，加强高端工业机器人领域产业竞争力，努力实现钢铁制造全流程的机器人嵌 入式应用。 ...

Core Viewpoint - Morgan Stanley reports that demand for scale, resource availability, and policy are driving the deployment of hyperscale AI data centers towards remote areas, indicating a healthier supply-demand dynamic and stable return prospects in the remote data center market during the AI era [1] Company Summaries - Morgan Stanley is optimistic about GDS Holdings, assigning an "Overweight" rating and raising the target price from $54 to $64 due to its strategic transformation in the Chinese market and rapid progress in resource development in remote areas [1] - The firm also favors Century Internet, maintaining an "Overweight" rating and increasing the target price from $14 to $16, citing its first-mover advantage [1] - The rating for Aofei Data is maintained at "In Line with Market," while the ratings for Huayun New Network and Baoxin Software are kept at "Underweight," as their lack of effective layout in the right remote hubs poses a risk of market share loss in the medium to long term [1]

Group 1 - The report provides a comprehensive analysis of the industrial software industry in China, focusing on market capacity, competitive landscape, and future development trends [2][3][4] - It emphasizes the importance of industrial software in the context of China's industrial transformation and upgrading, highlighting its role in enhancing operational efficiency and innovation [4][6] - The report outlines the classification of industrial software, including embedded software, design software, production control software, and management software, along with their respective market sizes and trends [7][8][9] Group 2 - The analysis includes a detailed examination of the policy environment affecting the industrial software industry, including management systems and relevant regulations [4][6] - Economic conditions, both domestic and international, are assessed to understand their impact on the industrial software market, including industrial value-added and manufacturing indices [4][6] - Technological advancements and trends within the industry are discussed, providing insights into the overall technical level and future directions of industrial software development [4][6] Group 3 - The global industrial software market is analyzed, including its size, regional distribution, and key trends, indicating a growing demand for software solutions in manufacturing [5][6] - Leading companies in the industrial software sector are profiled, detailing their product offerings, market performance, and strategic developments, such as Dassault Systèmes, Siemens PLM, and Autodesk [5][6] - The report identifies investment opportunities within the industrial software industry, emphasizing the potential for growth driven by technological innovation and increasing demand for digital solutions [8][13]

证券日报网讯1月19日，宝信软件（600845）在互动平台回答投资者提问时表示，公司在欧盟地区的主 要业务在位于意大利的R.R.Robotica公司(RRR公司)。RRR公司是公司实际控制的子公司上海图灵智造 机器人股份有限公司的子公司，主营业务是面向意大利本土的工业机器人及应用工程。其在公司整体经 营业绩占比较小。 ...

证券日报网讯 1月19日，宝信软件在互动平台回答投资者提问时表示，公司高度重视"人工智能+制 造"发展机遇，将依托"宝联登"工业大模型和面向制造业产品生命全周期、生产制造全过程和供应链全 环节的工业软件产品体系，围绕制造业场景深化技术攻关和应用研究，打造集场景创新、模型赋能、数 据增值、算力供给、平台筑基的"五位一体"工业智能新范式，提供一体化、集成化的"AI+制造"解决方 案，推动人工智能技术与制造业应用的双向赋能。后续将结合政策指引，持续完善工业垂类大模型能力 体系建设，重点围绕工艺优化、质量管控等核心环节，打造高质量数据集、高价值场景库和高水平智能 体，并形成一批可推广复制的标杆应用，以人工智能赋能新型工业化，加快制造业智能化、绿色化、融 合化发展。 （文章来源：证券日报） ...

宝信软件（600845.SH）1月19日在投资者互动平台表示，公司在欧盟地区的主要业务在位于意大利的 R.R.Robotica公司（RRR公司）。RRR公司是公司实际控制的子公司上海图灵智造机器人股份有限公司 的子公司，主营业务是面向意大利本土的工业机器人及应用工程。其在公司整体经营业绩占比较小。 （文章来源：每日经济新闻） 每经AI快讯，有投资者在投资者互动平台提问：欧盟地区业务收入在公司整体营业收入中的占比大致 为多少？此外，公司对欧盟市场的销售主要通过哪种方式实现？是以境内主体直接向欧盟客户出口为 主，还是通过在欧盟国家设立的子公司进行销售，或通过第三方贸易商、代理商转销至欧盟市场？ ...

Core Viewpoint - The AIDC (Artificial Intelligence Data Center) sector is entering a critical transition period from "concept narrative" to "performance verification" driven by policies, technology, and global computing power demand by the end of 2025 to early 2026 [1] Group 1: Market Dynamics - The AIDC industry is entering a new phase of market differentiation due to the ongoing global AI competition, the implementation of domestic policies like "East Data West Computing," and accelerated technological iterations such as liquid cooling and high-speed interconnects [4] - The capital expenditure of major North American cloud providers reached $257.4 billion in the first three quarters of 2025, a 65% year-on-year increase, indicating a strong demand-side momentum [5] - Major domestic internet companies are expected to reach a peak capital expenditure of 77.2 billion yuan in Q4 2024, reflecting the urgency for cloud providers to layout the next round of intelligent computing centers [5] Group 2: Supply Chain Challenges - The effective supply of AIDC is constrained by multiple hard constraints, particularly in energy and equipment, with electricity demand for data centers expected to rise significantly [7] - By 2028, data center electricity demand in the U.S. is projected to account for 6.7%-12% of total electricity consumption, leading to an expanded supply-demand gap and rising electricity prices [7] - The global supply of gas turbines is highly concentrated, with three major companies holding 88% of the market share, creating an opportunity for Chinese manufacturers to enter the global supply chain [7] Group 3: Technological Innovations - Liquid cooling technology is becoming essential as AI chip power consumption increases, with a projected global penetration rate of 30% by 2026, representing a market space of approximately 68.8 billion yuan [8] - The shift to liquid cooling is expected to reshape the cooling equipment market and drive structural upgrades in data center power distribution systems [8] Group 4: Investment Opportunities - Companies with core customer resources, technological advantages, or the ability to solve key bottlenecks are becoming focal points for investment in the AIDC sector [10] - Key investment targets include IDC leaders with core internet clients, second-tier firms capable of absorbing overflow demand, and upstream suppliers of power distribution and cooling equipment [10] - Specific companies such as Shenghong Co. in power supply and cooling equipment are highlighted as key observation targets due to their potential to address bottlenecks in the industry [11]

Investment Rating - The report assigns an "Accumulate" rating for the industry [4][33]. Core Insights - The report emphasizes the integration of AI and industrial manufacturing, highlighting the transition from "perceptual interconnection" to "deep intelligence" through policies that promote the development of industrial internet platforms [2][21]. - It outlines four major innovative actions proposed by the policy: platform cultivation, data intelligence enhancement, large-scale application, and ecological support, focusing on the deep integration of AI and industrial internet [2][10]. Summary by Sections 1. Policy Overview and Key Indicators - The report discusses the "Action Plan for Promoting High-Quality Development of Industrial Internet Platforms (2026-2028)" issued by the Ministry of Industry and Information Technology, defining industrial internet platforms as crucial for data aggregation, model accumulation, and application development [8]. - By 2028, the plan aims for over 450 influential platforms, more than 120 million industrial device connections, and a platform penetration rate exceeding 55% [9]. 2. Four Major Action Frameworks 2.1. Platform Cultivation - The report advocates for differentiated platform development, focusing on professional, industry-specific, and collaborative platforms to enhance digital product and service supply [10][12]. - It promotes a "small, fast, light, and precise" approach to digital solutions, transitioning from project-based to subscription-based models [10]. 2.2. Data Intelligence Enhancement - The report highlights the need to improve data collection and integration capabilities, establishing a robust industrial data labeling system and exploring new data management models [13][14]. - It encourages the development of a high-quality industrial model system and supports the "Model as a Service" (MaaS) approach [14][15]. 2.3. Large-Scale Application - The report emphasizes the importance of applying digital management and intelligent production models in traditional industrial settings, particularly for small and medium-sized enterprises [16][17]. 2.4. Ecological Support - The report calls for the establishment of an open-source community for industrial internet platforms and the development of a new standard system to enhance security and data management [19][20]. 3. AI + Manufacturing - The report outlines the synergy between various policies aimed at integrating AI into manufacturing, with specific targets for the development of industrial intelligent entities and high-quality data sets by 2028 [21][22]. - It notes a rapid increase in the penetration rate of industrial intelligent entities, indicating a shift from experimental phases to widespread application across multiple scenarios [22]. 4. Investment Recommendations - The report recommends focusing on companies such as Zhongkong Technology, Rilian Technology, and others, while suggesting to pay attention to companies like Weihong Co. and Rongzhi Rixin [23].

Core Insights - The process control system (PCS) is essential for monitoring, controlling, and optimizing industrial processes across various sectors, including chemicals, oil, electricity, pharmaceuticals, and food processing [1][2] - The global PCS market is projected to grow from approximately $59.4 billion in 2024 to $61.73 billion in 2025, reflecting a year-on-year growth of 3.9% [9] - In China, the PCS market is expected to reach around 43.4 billion yuan by 2025, driven by advancements in smart manufacturing and automation technologies [11][12] Industry Overview - PCS includes various automation systems such as DCS (Distributed Control System) and PLC (Programmable Logic Controller), each suited for different industrial environments [2] - DCS solutions account for about 46% of the market, primarily used in oil, gas, and chemical industries, while PLCs represent 38%, widely deployed in automotive and packaging sectors [9] - The application of PCS is expanding, with significant usage in oil and gas (29%), chemicals (22%), automotive (14%), and food and beverage (13%) sectors in 2024 [9][10] Market Dynamics - The PCS industry is experiencing rapid growth due to the integration of new technologies such as AI, big data, IoT, and cloud computing, which are transforming production management and decision-making systems [11] - The Chinese automation industry has made significant strides in technology and product quality, narrowing the gap with international brands and increasing domestic market share [12] Development Trends - The PCS sector is evolving with the integration of automation technology (AT), information technology (IT), process technology (PT), operational technology (OT), and equipment technology (ET) to create intelligent management and control systems [13] - The push for domestic innovation and the complete localization of automation equipment is becoming increasingly important for enhancing supply chain security in China [13]

Investment Rating - The report maintains a "Recommended" rating for the computer industry [1] Core Insights - The computer industry is experiencing a positive start to the year, with an index increase of 18.04%, ranking third among SW primary industries, compared to the Shanghai Composite Index's increase of 3.96% and the CSI 300's increase of 2.42% [3] - AI applications are becoming the core driving force behind the current upward trend in the computer sector, with the Wind AI application index rising by 19.25% [3] - The commercialization of AI applications is expected to transition from a usable to a useful stage in 2026, creating investment opportunities in both AI applications and domestic computing power [3] Summary by Sections Industry Performance - The computer industry index has shown significant growth, outperforming major indices, indicating a potential bottom reversal in industry sentiment [3] AI Application Trends - The report highlights a surge in AI application catalysts, with major companies like MiniMax and Zhiyuan AI showing strong market performance post-IPO [3] - Collaborations between companies such as NVIDIA and Eli Lilly are expected to drive advancements in AI-assisted drug discovery, further enhancing the AI application landscape [3] B-end vs C-end AI Applications - B-end AI applications are anticipated to see rapid growth, with a focus on sectors like marketing, industrial software, healthcare, and finance [3] - C-end applications are viewed as long-term value investments, leveraging existing user bases and brand strength to enhance product offerings through AI [3] Domestic Computing Power - The demand for data centers is expected to rise, with a recovery in domestic AIDC bidding starting in Q4 2025, leading to accelerated data center deployments by major internet companies in 2026 [3] - The restoration of H200 supply is projected to improve model training efficiency, further driving the need for domestic computing power chips [3] Investment Recommendations - Key investment opportunities include major players in large models and Maas manufacturers, domestic computing power and data center supply chains, and various AI application sectors [3]