点击 最 下方 关注《材料汇》 ， 点击"在看"和" "并分享 添加 小编微信 ，遇见 志同道合 的你 正文 1、 科技博弈：中国科技的全链前进 2、 投资策略：点燃自主科技树，0-1提供高弹性 3、投资机会：产业链边际变化，硬科技投资机会 1.1博弈复盘：美国打压和针对的方向带来预期外增长 德邦证券 图表1:"实体清单"企业节选 图表2：工信部官宣国产光刻机参数 300mm : 昭明波长 · 248nm : 氧化氢并亥树 资料来源:各公司官网 维尔克斯光电、工信部、德邦研究所 1.1基金持仓：基本面与主题共振，24年基金大幅增持 無邦证券 ◆24H1起基金重仓持仓占比超4％，21年来逐步提升：24Q3，通信行业在基金重仓股中的占比约为4.1%，同比增长1.09 pct 在申万一级行业中排名第10。个股来看，通信行业前三大重仓股为中际旭创、新易盛、中国移动。 ◆AI、华为链等相关标的业绩逐步验证，主题与基本面共振：通信行业（申万）24年前三季度同比，营收+4%，归母净利润 +8%，扣非净利润+6%。从细分板块来看，光模块、AIDC受益于AI训练及推理需求提升，收入利润持续增长，25年有望维持 景气度。 造务必 ...

Group 1: Market Dynamics - The market is witnessing a fierce competition between retail investors and institutional players, with 81 stocks on the leaderboard and over 700 million yuan being traded [1] - Retail investors are primarily focused on military and computing sectors, while institutions are offloading real estate and home appliance stocks [1] Group 2: Key Players and Strategies - "Zhang Mengzhu" invested 332 million yuan in "turnaround" stocks, notably buying 131 million yuan of Huasheng Tiancai, which is facing institutional sell-offs [3] - "Quantitative trading" has aggressively purchased stocks worth 441 million yuan, including 146 million yuan in Guangqi Technology, driven by rumors of military contracts [4] Group 3: Industry Trends - Military new materials are gaining consensus, with Guangqi Technology's production capacity utilization exceeding 90%, indicating strong performance potential [6] - The computing sector is showing resilience, with Langchao Information's AI server overseas orders increasing by 70% quarter-on-quarter [8] Group 4: Risks in Traditional Sectors - The white goods sector is under pressure, with Hai Li股份 facing significant sell-offs and high inventory levels [10] - The real estate sector is also struggling, with 华丽家族 having a debt ratio of 87%, indicating high financial risk [11]

报告期，南钢股份携手华为开启"钢铁大模型百日会战"，聚焦技术突破、场景应用与生态协同，发 布"元冶.钢铁大模型"架构，定义工业大模型，持续将新质生产力应用于工业生产场景。此外，公司落 地并推广"炼数成金"数据资产入表管理与运营平台，推动两项数据产品在江苏省数据交易所挂牌、一项 数据资产在上海数据交易所登记；积极探索钢铁行业入表路径，率先建立"数据+模型+应用价值"核心 理念，报告期实现数据资产入表714万元。 此外，南钢股份已全面实现全流程超低排放，成为江苏省首家并连续两年获评长流程环保绩效A级企 业。报告期，公司入选全国第一批"新四类"环保设施开放单位名单。 8月19日晚，南钢股份（600282）发布2025年半年报，上半年，南钢股份实现营业收入289.44亿元，同 比下降14.06%；实现归属于上市公司股东的净利润14.63亿元，同比上升18.63%。上半年拟向全体股东 每10股派发现金红利1.186元(含税)，共派发现金红利7.31亿元(含税)，占当期归属于上市公司股东净利 润的50%。 报告期内，南钢股份克服高炉及配套产线检修影响，高效贯通"四大界面"(料铁界面、铁钢界面、钢轧 界面、客户界面)，系统 ...

Core Insights - South Steel Co., Ltd. reported a revenue of 28.944 billion yuan for the first half of 2025, a year-on-year decrease of 14.06%, while net profit attributable to shareholders increased by 18.63% to 1.463 billion yuan [2] - The company plans to distribute a cash dividend of 1.186 yuan per 10 shares, totaling 731 million yuan, which accounts for 50% of the net profit attributable to shareholders [2] Financial Performance - The sales volume of advanced steel materials reached 1.3372 million tons, representing 29.77% of total steel product sales, an increase of 2.64 percentage points year-on-year [3] - The gross profit margin for advanced steel materials was 20.26%, up by 2.32 percentage points, with a total gross profit of 1.367 billion yuan, accounting for 46.67% of total steel product gross profit, an increase of 3.19% [3] Operational Efficiency - The company implemented various cost-reduction measures, achieving a cost reduction of 307 million yuan in the M-end process through product structure optimization, model innovation, procurement cost reduction, and financial expense reduction [2] - South Steel has fully achieved ultra-low emissions across all processes and has been recognized as an A-level enterprise for environmental performance in Jiangsu Province for two consecutive years [3] Research and Development - The company has increased its R&D investment, focusing on overcoming technical bottlenecks in advanced steel materials and key strategic materials [2] - South Steel collaborated with Huawei to launch the "Steel Big Model" initiative, aiming for technological breakthroughs and ecological collaboration [3] Sustainability Initiatives - The company completed a carbon inventory based on ISO 14064 standards and received relevant certification for the first time [4] - South Steel obtained the first carbon financial loan of 300 million yuan in Jiangsu Province's steel industry [4]

Core Insights - The data exchange market in China has rapidly evolved since 2015, with over 50 data trading institutions established by July 2025, and the trading scale projected to exceed 300 billion yuan by 2025 [2][4][19] - Data exchanges serve as a regulated marketplace for data, allowing for the standardized transformation of data products and facilitating compliance and quality assurance [3][5] - The market is characterized by a diverse range of participants, including government entities, data service providers, and large internet companies, with buyers spanning various industries such as finance, healthcare, and AI [5][6] Group 1: Market Development - The trading scale has grown from "billion-level" in 2015 to "trillion-level" by 2024, indicating significant growth in both quantity and quality of data transactions [2][19] - The market is expected to reach approximately 2.841 trillion yuan by 2025, with a compound annual growth rate of 46.5% from 2021 to 2025 [19][34] - The introduction of policies and frameworks, such as the "Data Element ×" three-year action plan, aims to enhance the coordination between on-site and off-site trading by 2026 [6][10] Group 2: Key Players and Institutions - Major data exchanges include Beijing International Data Exchange, Shanghai Data Exchange, Shenzhen Data Exchange, and Guizhou Data Exchange, which are leading the market [4][7][12][15] - By June 2025, Beijing International Data Exchange had achieved a trading scale of 2,250 TB, with an annual growth rate exceeding 200% [12] - Shanghai Data Exchange reported over 2,000 signed data merchants and a trading amount exceeding 50 billion yuan in 2024 [13] Group 3: Emerging Trends and Technologies - The data trading landscape is expanding into new fields such as AI model training, medical diagnostics, and scientific research, reflecting the increasing importance of data in driving technological and economic development [20][34] - The introduction of advanced technologies like blockchain and privacy computing is enhancing the security and traceability of data transactions [22][28] - Data assetization is becoming a significant trend, with projections indicating that the market for data assets will reach 8,278 billion yuan by 2030 [19][34] Group 4: Case Studies - Notable case studies include the successful assetization and financing of data by companies like BAIC New Energy and the implementation of the "U235" framework by Shanghai Data Exchange, which utilizes blockchain for transparency and efficiency [24][27] - Shenzhen Power Supply Bureau's data product for enterprise electricity behavior was successfully traded, showcasing the application of privacy computing in data transactions [31] - The collaboration between Southern Power Grid and a chemical group demonstrates the practical benefits of data trading in optimizing production and reducing costs [32]

Core Insights - The domestic data factor industry is evolving towards a higher value "government-industry linkage" model, driven by policy guidance and industrial construction [1] - The digital economy's core industries are becoming significant drivers of the overall economic system, with the data factor market expected to exceed 300 billion yuan by 2028, growing at a compound annual growth rate (CAGR) of approximately 20.26% [6] - The establishment of a data value circulation system is crucial for the efficient flow of data assets, with a focus on compliance and rights confirmation [11][13] Policy Analysis - The improvement of the data industry value chain and local data systems is essential for the circulation of data factors, marking a new phase of quality enhancement in the digital industry [3] - The "Data Twenty Articles" policy has initiated the construction of a data ownership system, which is vital for the efficient circulation of data value [11] Market Scale - The digital economy in China has grown from 27.2 trillion yuan in 2017 to 53.9 trillion yuan in 2023, with a CAGR of about 12.07% [6] - By 2025, the overall scale of the data factor industry is expected to reach around 200 billion yuan, with data processing and analysis becoming the largest segment, projected to reach 144 billion yuan by 2028 [6] Data Value Chain Circulation - The construction of a data value circulation system is supported by advanced technology and regulatory compliance, focusing on the phased development of data value [8] - Data asset registration is crucial for the division of ownership and promoting the market circulation of data assets [13] - The establishment of a data evaluation policy framework is necessary for the accurate assessment of data value, which is essential for market circulation [16][17] Capitalization of Data Assets - The entry of data assets into financial statements marks a significant step in the capitalization of data factors, with the implementation of regulations starting January 1, 2024 [19] - The market for data asset transactions is characterized by a "cold inside, hot outside" distribution pattern, with off-market transactions dominating due to their flexibility [21] Industry Practices - The financial sector is expected to see a CAGR of approximately 19.06%, reaching over 100 billion yuan by 2028, driven by the integration of diverse data [32] - The industrial manufacturing sector is projected to grow at a CAGR of about 24.22%, with a focus on high-quality data sets and trusted data spaces [35] - The healthcare industry is anticipated to grow at a CAGR of around 23.69%, emphasizing the compliance and security of personal health data [37] Trends - The construction of high-quality data sets is crucial for the development of the artificial intelligence industry, transitioning from "point breakthroughs" to "holistic development" [40] - The establishment of trusted data spaces will be fundamental for ensuring the circulation and high-value application of data factors [43]

Core Viewpoint - The article emphasizes the importance of transforming "sleeping" data into active capital for enterprises, particularly small and micro enterprises, through government support and innovative financing solutions [1][12]. Group 1: Company Overview - Shandong Portong Data Intelligence Co., Ltd. focuses on the digital transformation of port logistics and has developed a series of digital products in smart logistics and smart ports [1]. - Established in 2019, the company has been engaged in data collection, processing, and external services, highlighting its commitment to leveraging data for business growth [1]. Group 2: Financing Process - Shandong Portong successfully obtained a 5 million yuan loan through a data asset pledge loan facilitated by the Yantai Big Data Bureau, addressing common financing challenges faced by small enterprises [1][11]. - The process involved several steps: inventorying data assets, confirming ownership and rights, valuing the data, and applying for loans, which took approximately three months to complete [11][12]. Group 3: Data Asset Management - The company identified 11 core data assets, including port resources and BIM model components, which were categorized and assessed for reuse and value [5][10]. - A third-party evaluation determined the value of these data assets at 10.0194 million yuan, which was crucial for securing the loan [10][11]. Group 4: Policy Support - In September 2024, Shandong issued guidelines to accelerate the market-oriented allocation of data elements, supporting eligible enterprises in data asset registration [4][13]. - The initiative has already seen over 30 enterprises in Yantai complete the data asset registration process, indicating a growing trend in data capitalization [14].

Group 1 - The company, Yihualu (300212), focuses on providing professional data asset entry services for various industry clients [1] - The company currently does not have any data assets for entry on its own balance sheet [1] - Investors are encouraged to pay attention to the company's publicly disclosed information for further details [1]

Group 1 - The company, Yihualu (300212), has accumulated a significant amount of data assets from large central state-owned enterprises, covering various industries such as energy, transportation, and manufacturing [1] - The company is capable of supporting data entry for hydropower stations, photovoltaic power stations, and thermal power stations from both consulting and technical tool perspectives [1] - Investors are encouraged to pay attention to the company's publicly disclosed information for further details on these developments [1]

Core Insights - The first approved data asset securitization project in China, "Huaxin-Xinxin-Data Asset 1-5 Phase Asset Support Special Plan," was officially issued on July 31, marking a significant step in recognizing data as a new asset class in the capital market [1][2] - The project demonstrates the feasibility of using data assets as collateral for financing, breaking the traditional reliance on physical assets and providing a new financing pathway for asset-light data companies [2][3] - The penetration rate of data asset recognition in financial statements is increasing, with a notable rise in the number of listed companies recognizing data assets, indicating a growing acknowledgment of data value [3][5] Data Asset Securitization - The launch of data asset securitization projects this year reflects the capital market's high recognition of data as a new asset class and serves as a breakthrough in facilitating the conversion of data from resources to assets to capital [2][3] - The first data asset-enabled securitization product was issued on July 17, further enriching the asset securitization product matrix and providing new financing options for technology-driven enterprises [1][2] Data Asset Recognition - Data asset recognition in financial statements is essential for the capitalization and marketization of data assets, with the implementation of new accounting regulations set to normalize this practice starting January 1, 2024 [2][3] - The number of listed companies recognizing data assets has significantly increased, from 12 companies with a total of 0.54 million yuan in Q1 2024 to 82 companies with a total of 33.43 million yuan in Q1 2025 [3][5] Market Ecosystem Optimization - Companies are encouraged to strategically plan their data asset management and establish comprehensive internal management systems to optimize the market ecosystem for data assets [5] - The establishment of data asset companies in China has surged, with 3,553 companies currently operating in this sector, indicating a growing market for data asset services [4]