记者从中国物流与采购联合会了解到，"十四五"期间，我国现代物流发展取得重要成就，物流市场规模持续保持世界第一，现代物流体系建设取得积极进 展，为畅通国民经济循环、推动高质量发展提供有力支撑。 "十四五"期间，我国社会物流总额保持稳中有升发展态势。2025年，全社会物流总额规模有望达到380万亿元，5年间增长约80万亿元。我国物流业总收入规 模持续扩张，5年间增长约4万亿元，2025年预计将超过14万亿元，市场规模有望连续10年位居世界第一。 中国物流与采购联合会会长 蔡进："十四五"以来，应该说中国的物流业发展还是非常具有成效的。我们国家的物流规模已经连续9年成为世界第一，这也充 分体现了超大规模市场的优势，对我国国民经济的发展起到了积极的支撑作用。 国际物流需求日益旺盛，国际物流网络持续织密。中欧班列通达欧洲229个城市、亚洲100多个城市。航空企业国际货运市场份额达44％，"空中丝绸之路"辐 射境外83个国家213个城市。我国海运船队规模全球最大，与100多个国家和地区建立了航线联系，海运连接度常年位居世界第一。跨境公路货物货运量出现 倍增，车辆首次以公路直达运输的方式跨越里海、抵达欧洲。 "十四五"物流 ...

36氪汽车获悉，L4级自动驾驶企业白犀牛近日完成了B+轮融资。至此，白犀牛的B轮融资总额累计近5 亿人民币。本轮融资中，老股东顺丰、线性资本继续跟进，以骏资本、三六零基金、华泰紫金等机构也 加入成为新股东。 据悉，本轮资金将重点投向车规级无人车产品研发、AI技术的持续迭代和商业场景的拓展等三大领 域。值得注意的是，本轮融资后，白犀牛B轮总融资金额已近5亿元。并且本轮是顺丰自2024年8月首次 注资后，一年内的第三次投资。 白犀牛成立于 2019 年 4 月，由前百度自动驾驶团队成员朱磊和夏添共同创立，是一家致力于研发全栈 式无人配送解决方案，并提供无人车常态化运营的自动驾驶公司。今年3月，白犀牛官宣原东风商用车 公司总经理黄刚加盟白犀牛，出任总裁一职。 白犀牛瞄准的无人物流领域，目前正处在技术、成本和政策共振的商业爆发期。 乘用车辅助驾驶的蓬勃发展，带动激光雷达等关键零部件价格降低。国家政策也正在推动无人车在物流 行业的应用，目前已有103个城市开放无人配送车路权。大规模路测与商业化运营下，无人物流车降本 增效的逻辑也在逐步得到验证。 2025年，新石器完成10亿元C+轮融资，九识智能B3轮融资1亿美元，如今 ...

Market Sentiment - The current market sentiment score is 76, indicating a "relatively hot" market condition, which suggests increasing investor confidence and potential upward market trends [6][9][21]. Hot Topics Tracking - **Brain-Computer Interface**: The National Healthcare Security Administration has introduced a new pricing mechanism for innovative medical technologies, including a "brain-computer interface implantation fee," which is expected to accelerate clinical applications. Related companies include Innovation Medical (002173) and Weisi Medical (688580) [6]. - **Robotics**: The first World Humanoid Robot Games were held in Beijing, showcasing advancements in motion control and practical applications. Key companies in this sector include Wolong Electric Drive (600580) and Changsheng Bearing (300718) [6]. - **Logistics**: The State Post Bureau is addressing issues of "involution" in the express delivery industry and promoting high-quality development. The commercialization of unmanned logistics vehicles is also gaining traction, particularly in the "last mile" delivery segment. Relevant companies include Shentong Express (002468) and SF Holding (002352) [6]. Capital Flow Analysis - The top ten stocks with the highest net inflow of capital include Zhongyou Capital (104,664.78 million), Top Group (75,376.63 million), and Sichuan Changhong (67,103.27 million) [10]. - The top ten stocks with the highest net buy in financing include Zhongji Xuchuang (64,159.65 million), Runhe Software (55,810.88 million), and China Merchants Bank (44,884.94 million) [12]. - The top ten stocks with the highest net outflow of capital include Dongfang Caifu (-303,096.91 million), Changcheng Securities (-127,402.42 million), and Beifang Rare Earth (-119,591.95 million) [13]. Industry Performance - The top ten industries with the highest net inflow of capital include Food and Beverage (107,055 million), Home Appliances (92,327 million), and Banking (24,826 million) [16]. - The top ten industries with the highest net outflow of capital include Medical Biology (-177,083 million), Basic Chemicals (-244,101 million), and Media (-252,431 million) [17]. Financing and Margin Trading - Financing net buying indicates investor optimism, while excessive financing may signal speculative risks. Conversely, margin selling reflects pessimism and potential for significant losses if market conditions reverse [22].

2025 年 08 月 11 日 --鑫融讯 分析师：万蓉 S1050511020001 wanrong@cfsc.com.cn 最近一年大盘走势 资料来源：Wind，华鑫证券研究 -10 0 10 20 30 (%) 沪深300 相关研究 1、《双融日报》2025-08-08 2、《双融日报》2025-08-07 3、《双融日报》2025-08-06 ▌ 华鑫市场情绪温度指标：（中性） 华鑫市场情绪温度指标显示，昨日市场情绪综合评分为 59 分，市场情绪处于"中性"。历史市场情绪趋势变化可参 考图表 1。 ▌ 热点主题追踪 双融日报 今日热点主题：脑机接口、机器人、物流 1、脑机接口主题：据央视报道，国家医保局制定新药首发价 格机制，新增 100 余项医疗新技术收费项目，并设立"脑机 接口置入费"等，助力创新药械快速临床应用与回报。相关 标的：创新医疗(002173)、伟思医疗(688580) 2、机器人主题：8 月 15-17 日，全球首届世界人形机器人运 动会登陆北京"鸟巢+冰丝带"，机器人将竞速田径、踢足 球、跳舞并完成搬运、清洁等场景任务，集中展示运动控制 与场景落地的最新成果。相关标的：相关标的： ...

Group 1 - Meituan's unmanned delivery vehicles have commenced regular testing operations in the core area of Shenzhen's Futian District, marking a significant milestone as the first deployment of such vehicles in a densely populated, commercially active urban center in China [1][2] - The initiative aims to provide efficient 24-hour delivery services for fresh groceries and integrate into various scenarios such as dining, takeout, and errands, enhancing the technological lifestyle of residents [1] - The operation is part of a broader exploration of standardized, large-scale, commercial, and interconnected development of unmanned logistics in Shenzhen, indicating a shift from testing to maturity in autonomous driving technology [3] Group 2 - The launch of the delivery route involved comprehensive assessments of operational conditions and traffic impacts, with vehicles required to connect to government platforms for dynamic data monitoring and dispatch [2] - The initiative promotes an ecosystem of mutual benefits, allowing companies to utilize resources from Shenzhen Bus Group for vehicle safety parking, efficient charging, and localized operational support, addressing key industry challenges [2] - Safety measures include remote monitoring personnel and on-ground safety staff to ensure the secure operation of unmanned vehicles, with a gradual rollout strategy from small-scale tests to larger pilot areas [2]

Summary of Conference Call Records Industry Overview - The logistics industry is experiencing significant growth, with the workforce expected to increase from 11 million in 2024 to 15.5 million by 2025. However, logistics costs are rising at a slower pace, leading to increased labor costs that challenge industry profitability [1][2][3]. Key Insights and Arguments - **Cost Reduction through Autonomous Vehicles**: The cost of autonomous delivery vehicles is rapidly decreasing, with prices dropping from nearly 1 million yuan in 2018 to 19,800 yuan by 2025. This trend suggests that the cost of autonomous vehicles may soon be lower than labor costs, accelerating commercialization [1][2][5]. - **Market Potential**: The autonomous vehicle market is projected to reach several hundred billion yuan by 2029, with significant penetration in warehouse automation [3][17]. - **Regulatory Challenges**: The industry faces legal bottlenecks, particularly regarding regulations for open road scenarios. While closed environments like mines and warehouses do not require adherence to traffic laws, public road usage necessitates regulatory approval [4][10]. - **Commercialization Drivers**: The primary driver for the commercialization of autonomous vehicles is the lower cost of standardized road operations compared to human labor. For instance, the operational cost of autonomous delivery vehicles is significantly lower than that of human drivers [15][16][18]. Important but Overlooked Content - **Diverse Applications**: Autonomous vehicles are being applied in various sectors, including passenger transport, logistics, heavy cargo transport, warehouse management, and urban sanitation, providing significant advantages in efficiency and cost reduction [6][19]. - **Investment Trends**: Internet and logistics companies are leveraging their technological advantages and cost-reduction needs to promote the application of autonomous vehicles. The investment strategies vary, with internet companies focusing on R&D and logistics companies prioritizing cost efficiency [14][19]. - **Future Market Trends**: The market for autonomous delivery vehicles is expected to grow faster than that for Robotaxis due to lower safety requirements and regulatory pressures. The current stock of autonomous delivery vehicles exceeds 6,000 units, with projected sales surpassing 5,000 units in 2024 [24][25]. Regulatory Developments - **Beijing's Progress**: Beijing has made significant strides in autonomous driving regulations since 2017, with the latest updates allowing for commercial trials of L4 level autonomous vehicles [9][10]. Competitive Landscape - **Differences in Market Strategy**: The competition between autonomous vehicles and new energy vehicles differs significantly. Autonomous vehicles primarily target government and business clients (ToG and ToB), while new energy vehicles focus on consumers (ToC) [12][19]. Conclusion - The autonomous vehicle industry, particularly in logistics, is poised for rapid growth driven by technological advancements, regulatory support, and the need for cost-effective solutions. The market dynamics indicate a shift towards increased commercialization and broader application across various sectors.

Core Viewpoint - The current investment environment is seen as the best since the company's inception, characterized by the convergence of long-term opportunities and short-term cyclical dynamics, with a focus on sectors like AI and consumer markets [1][9]. Group 1: Investment Strategy - Investment is fundamentally about future opportunities, which are already emerging in areas such as artificial intelligence, humanoid robots, and AI-enabled research [2][11]. - The investment approach seeks a balance between long-term perspectives and short-term cyclical judgments, emphasizing the importance of both dimensions in current market conditions [7][9]. Group 2: Sector Insights - The humanoid robot market is projected to grow significantly, with estimates suggesting a potential market size in the hundreds of billions, driven by increasing demand due to labor costs and aging populations [12][13]. - The logistics and service sectors are also highlighted as having vast growth potential, with the L4 level autonomous driving market in China being particularly promising [28][30]. Group 3: Consumer Market Dynamics - The consumer market in China, valued at 54 trillion, is experiencing structural changes that present significant investment opportunities, particularly in retail [45][46]. - The "胖东来 phenomenon" illustrates how innovative business models can lead to substantial improvements in sales and profitability, emphasizing the importance of supply chain management [47][52]. Group 4: AI and Scientific Research - AI is transforming drug discovery and materials research, significantly reducing development times and costs, with growth rates in these sectors expected to exceed 60% by 2028 [41][43]. - The application of AI in scientific research is seen as a critical area for investment, with potential for high economic returns [35][37]. Group 5: Market Trends and Cycles - The current phase is identified as the beginning of the sixth Kondratiev wave, characterized by AI and energy revolutions, with a clear upward trend in the economy [5][71]. - Recent policy changes in sectors like solar energy indicate the emergence of cyclical opportunities, with significant price increases observed in related commodities [64][65].

Summary of Key Points from the Conference Call Industry Overview - The conference call discusses the **unmanned logistics vehicle industry**, focusing on its rapid development and commercialization potential in China, particularly in urban delivery scenarios [1][6]. Core Insights and Arguments - **Application Scope**: Unmanned logistics vehicles are primarily used for last-mile delivery and short-distance branch transportation, with potential applications extending to food delivery, retail, and fresh produce [2][4]. - **Commercialization Factors**: Key factors for large-scale deployment include: - **Wide Application Range**: Applicable beyond logistics to retail and other sectors [4]. - **Simple Operating Environment**: Less complex than traditional logistics and Robotaxi operations [4]. - **Mature Commercial Conditions**: Supportive policies, technological advancements, and significant cost reductions (e.g., new model priced at 19,800 yuan) [4][7]. - **Market Growth**: The domestic unmanned logistics vehicle market is expected to see sales surpassing 30,000 units by 2025 and potentially exceeding 800,000 units by 2030, with a market size exceeding 10 billion yuan [10]. Important but Overlooked Content - **Cost Structure**: The operating costs of unmanned logistics vehicles are lower due to optimized components and simplified structures, although profitability will likely depend on software services rather than vehicle sales alone [8]. - **Labor Cost Trends**: Rising labor costs (from 17,000 yuan in 2019 to 23,000 yuan by 2025) and increasing logistics demand (projected to reach 361 trillion yuan in 2024) create a favorable environment for unmanned logistics vehicles to fill labor gaps in the industry [9]. - **Beneficiaries in the Supply Chain**: Key beneficiaries include upstream component suppliers (e.g., Nvidia, Horizon Robotics) and chassis manufacturers, as well as startups closely collaborating with major e-commerce platforms [11][13]. - **Innovative Products and Collaborations**: Notable startups like Jiushi Intelligent and New Stone have launched products targeting the logistics sector and formed partnerships with major players like China Post and SF Express [12]. Investment Recommendations - Focus on component suppliers with platform capabilities and strong ties to leading unmanned logistics companies, such as: - Domain controller suppliers like Xiaoma Zhixing and Jingwei Hengrun - Chassis suppliers like Asia Pacific Holdings and Wanlang Magnetic Plastic [13].

Group 1: Express Delivery Sector - The express delivery sector shows a divergence in certainty, with direct express delivery focusing on performance and e-commerce express delivery focusing on valuation [22] - SF Holding's business volume has been consistently exceeding expectations, with a year-on-year growth of 31.76% in May 2025, significantly outpacing the industry growth rate [23][24] - The company's profit margin has steadily improved, with a net profit margin of approximately 3.20% in Q1 2025, reflecting a year-on-year increase of 0.27 percentage points [24][34] - The e-commerce express delivery sector faces intensified price competition, which may lead to performance fluctuations, while the overall industry volume grew by 20.1% year-on-year from January to May 2025 [3][42] Group 2: Aviation Sector - The aviation sector is experiencing improved supply-demand certainty, with strong demand for civil aviation travel during holidays, leading to a year-on-year increase in passenger load factor to 84.1% from January to May 2025 [4][5] - Supply constraints are evident, with limited capacity for new aircraft deliveries and high utilization rates of existing fleets, indicating a strong likelihood of supply contraction [5][6] - Ticket prices are expected to stabilize and potentially rise during peak travel seasons, driven by improved supply-demand dynamics and a downward trend in oil prices [6][4] Group 3: Port Performance - The container throughput in ports remains resilient, with a year-on-year growth of 7.7% from January to May 2025, supported by strong export performance [7][8] - Dry bulk cargo throughput has shown signs of recovery, particularly in iron ore and coal, despite some short-term pressures [8][7] - Liquid bulk cargo, particularly crude oil, has faced demand pressures, leading to fluctuations in throughput [8] Group 4: Shipping and Chemical Products - The oil transportation sector is expected to see long-term supply increases, but demand remains uncertain, leading to potential fluctuations in freight rates [9] - Container shipping supply is gradually increasing, but short-term freight rates are expected to remain volatile due to changing tariff policies [10] Group 5: Bulk Supply Chain - The bulk supply chain is anticipated to stabilize, with leading companies expected to recover their operating volumes, despite short-term declines [11][12] - Profit margins for major supply chain companies are projected to improve, with significant increases in gross margins for key products [12][13] Group 6: Road and Rail Transport - The highway sector is gradually recovering from a low base, with a year-on-year increase of 5.0% in freight volume from January to April 2025 [14] - The railway sector faces challenges due to weak coal demand, with a year-on-year decline of 3.6% in freight volume on the Daqin Line [14]

Investment Rating - The industry maintains a "Recommended" investment rating, indicating a positive outlook for the sector's fundamentals and expected performance exceeding the benchmark index [2][39]. Core Insights - The report highlights significant advancements in stablecoins and RWA (Real World Assets) both domestically and internationally, with a focus on the integration of these innovations into traditional finance, suggesting a potential global financial innovation cycle [5][27]. - The report emphasizes the continuous progress in the unmanned logistics sector, particularly through JD Logistics' introduction of self-developed unmanned vehicles and drones, which are expected to enhance operational efficiency and reduce costs significantly [19][21]. - The AI industry is witnessing ongoing developments, particularly in large model applications, with notable advancements from companies like Baidu and Microsoft, indicating a robust growth trajectory in AI-driven solutions across various sectors [23][24]. Summary by Sections RWA and Stablecoin Developments - The report details the launch of stock tokenization services by Robinhood and other platforms, allowing for trading of over 200 US stocks and ETFs with features like zero commission and low trading thresholds [9][11]. - Domestic interest in offshore RMB stablecoins is rising, with companies like JD and Ant Group advocating for regulatory approval to enhance RMB internationalization [14][15]. Unmanned Logistics Updates - JD Logistics has unveiled its self-developed unmanned light truck, capable of a 400 km range and L4 autonomous driving, which can reduce logistics costs by approximately 60% [19][21]. - The report also discusses the launch of JD's intelligent delivery vehicles and drones, designed for various logistics applications, showcasing significant technological advancements in the sector [21][22]. AI Industry Chain Updates - Baidu's release of the ERNIE 4.5 series models marks a significant step in AI model development, with open-source capabilities enhancing accessibility for developers [23]. - Microsoft's AI diagnostic tool demonstrates a fourfold improvement in disease diagnosis accuracy compared to human doctors, indicating the transformative potential of AI in healthcare [24]. Market Performance Review - The computer sector experienced a decline of 1.28% in the first week of July 2025, with notable stock performances from companies like Xuanji Information and ST Saiwei [29][30].