作为快递行业降本增效的关键技术，末端无人物流车备受资本市场关注，成为多家产业链相关企业当前 投入布局的重点。新石器、白犀牛、九识等L4级无人驾驶技术企业在2025年都获得多轮融资。南都记 者梳理注意到，这些企业的投资方中普遍都出现了大型互联网公司的身影，反映出头部互联网平台正通 过对无人物流的加速投入，参与即时配送市场的竞争。 据市场预测，2027年全球无人配送车市场规模将突破数百亿美元，我国无人物流车市场规模将占全球市 场份额的40%以上。预计未来三到五年，物流行业将有超过20万台的快递无人车部署。国家邮政局在1 月初的2026年全国邮政工作会议上进一步明确，出台加快推广应用无人配送技术政策文件，深化无人 车、无人机等在行业试点应用。 据介绍，目前，九识智能积累了近亿公里级的真实公开道路数据，拥有成熟的算法模型；而菜鸟无人车 团队多年来在视觉语言模型及世界模型领域积累了技术优势。双方有望通过实现大规模落地数据与前沿 技术的结合，增强在L4级自动驾驶赛道中的竞争力。 九识智能称，本次战略整合通过资产注入与现金投资的组合方式，进一步增强了九识智能在L4级无人 驾驶领域的技术储备与供应链体系。据了解，此次战略合作 ...

新京报贝壳财经讯（记者程子姣）1月29日，九识智能与菜鸟联合宣布，双方已就无人车业务达成深度 战略整合。菜鸟以自身无人车业务注入、现金投资等方式，成为九识股东，支持九识打造RoboVan（无 人驾驶货车）超级航母。这标志着双方正式开启在RoboVan领域的深度协同。 此次战略合作后，菜鸟自身不再直接生产和销售无人车，将发挥物流场景和生态优势，加大无人车在物 流领域的应用。九识将获得"菜鸟无人车"品牌授权，开启双品牌运营。 校对 柳宝庆 编辑 袁秀丽 ...

Core Viewpoint - After nearly 10 years of investment in autonomous vehicle development, the company has made a significant decision to integrate its autonomous vehicle business with Jiushi Intelligent, marking the beginning of deep collaboration in the autonomous vehicle sector [1][3]. Group 1: Strategic Integration - The company has injected its autonomous vehicle business and made a cash investment to become a shareholder of Jiushi Intelligent, supporting the creation of the RoboVan super carrier [1]. - Following this integration, the company will no longer directly produce and sell autonomous vehicles but will leverage its logistics scenarios and ecosystem advantages to enhance the application of autonomous vehicles in logistics [3]. - Jiushi Intelligent will operate under a dual-brand strategy, with the "Cai Niao Unmanned Vehicle" brand being authorized for use by Jiushi, while maintaining its identity as an Alibaba-invested incubated enterprise [3]. Group 2: Market Position and Product Development - The company has achieved breakthroughs in 2024, transitioning its autonomous vehicle work scenarios from closed and semi-closed areas to public roads for last-mile delivery, with its L4-level autonomous vehicle GT entering mass production [4]. - The company has launched new models, including the upgraded GT Pro and the budget-friendly GT-Lite, and has been actively involved in various applications such as heavy load, short-distance, cold chain delivery, and police patrols [4]. - Jiushi Intelligent, established in 2021, focuses on L4 RoboVan and aims to have over 16,000 autonomous vehicles operating by the end of 2025, covering more than 300 cities in China [4][5]. Group 3: Industry Outlook - The demand for logistics autonomous vehicles is significant, with the potential to reduce costs and improve efficiency for express logistics companies, applicable in various fields such as express delivery, takeaway, B2C retail, and fresh delivery [6]. - The average price of mainstream logistics autonomous vehicles is around 50,000 yuan, with a business model based on vehicle sales and FSD service fees [6]. - The integration of the two companies is seen as a key milestone in moving from "single-point breakthroughs" to "system integration" in the autonomous driving industry, with expectations for a win-win development in different market dimensions [6].

本报讯 （记者梁傲男）1月29日，九识智能与菜鸟无人车联合宣布，双方已就无人车业务达成深度战略 整合。菜鸟以自身无人车业务注入、现金投资等方式，成为九识智能股东，支持九识打造RoboVan超级 航母。这标志着双方正式开启在RoboVan领域的深度协同。 此次战略合作后，菜鸟自身不再直接生产和销售无人车，将发挥物流场景和生态优势，加大无人车在物 流领域的应用。九识智能将获得"菜鸟无人车"品牌授权，开启双品牌运营。 本次战略整合通过资产注入与现金投资的组合方式，实现了双方资源的最优配置，进一步增强了九识智 能在L4级无人驾驶领域的技术储备与供应链体系，标志着整合后的九识智能已成为无人驾驶货运领域 唯一的"超级航母"。 整合完成后，九识智能将进行双品牌运营。"菜鸟无人车"品牌将由菜鸟授权给九识使用，并保持作为阿 里巴巴投资孵化的生态企业身份。 九识智能CEO孔旗表示："此次整合是自动驾驶产业从'单点突破'迈向'系统集成'的关键里程碑，将为公 司注入更广阔的全球化视野。" 菜鸟集团CEO万霖表示："双方将保持紧密的生态伙伴关系，共同探索智慧运力的新路径。" 同时，菜鸟无人车的管理和技术负责人也将加入九识智能，深度参与 ...

与此同时，菜鸟无人车的管理和技术负责人也将加入九识智能，深度参与未来的战略规划与运营管理。 据了解，此次战略合作后，菜鸟自身不再直接生产和销售无人车，将发挥物流场景和生态优势，加大无 人车在物流领域的应用。九识将获得"菜鸟无人车"品牌授权，开启双品牌运营。 北京商报讯（记者 何倩）1月29日，九识智能与菜鸟无人车联合宣布，双方已就无人车业务达成深度战 略整合。菜鸟以自身无人车业务注入、现金投资等方式，成为九识智能股东，这标志着双方正式开启在 RoboVan领域的深度协同。 资料显示，九识智能成立于2021年8月，创新推出了首台在城市机动车道路行驶的中大型无人货车，开 辟L4 RoboVan无人驾驶全新领域。目前，九识智能业务已覆盖中国、新加坡、阿联酋、奥地利等多个 国家和地区，在快递、快消、生鲜和餐饮等城配领域建立优势。 ...

此次战略合作后，菜鸟自身不再直接生产和销售无人车，将发挥物流场景和生态优势，加大无人车在物 流领域的应用；九识将获得"菜鸟无人车"品牌授权，开启双品牌运营。据了解，菜鸟无人车的管理和技 术负责人将加入九识智能，深度参与未来的战略规划与运营管理。 每经上海1月29日电1月29日，九识智能与菜鸟无人车联合宣布，双方已就无人车业务达成深度战略整 合。菜鸟以自身无人车业务注入、现金投资等方式，成为九识股东，支持九识打造RoboVan超级航母。 这标志着双方正式开启在RoboVan领域的深度协同。 （文章来源：每日经济新闻） ...

此次战略合璧，标志着双方将从单点技术探索转向系统化的产业协同。 双品牌独立运营：共建RoboVan超级生态 整合完成后，九识智能将进行双品牌运营。"菜鸟无人车"品牌将由菜鸟授权给九识使用，并保持作为阿 里巴巴投资孵化的生态企业身份。 1月29日，九识智能与菜鸟无人车联合宣布，双方已就无人车业务达成深度战略整合。菜鸟以自身无人 车业务注入、现金投资等方式，成为九识股东，支持九识打造RoboVan超级航母。这标志着双方正式开 启在RoboVan领域的深度协同。 此次战略合作后，菜鸟自身不再直接生产和销售无人车，将发挥物流场景和生态优势，加大无人车在物 流领域的应用。九识将获得"菜鸟无人车"品牌授权，开启双品牌运营。 超级航母起航：深度整合与资源并举 九识智能CEO孔旗、九识智能联合创始人周清，以及菜鸟集团CEO万霖、菜鸟无人车业务负责人李尚青 等共同出席了当天的签约仪式。本次战略整合通过资产注入与现金投资的组合方式，实现了双方资源的 最优配置，进一步增强了九识智能在L4级无人驾驶领域的技术储备与供应链体系，标志着整合后的九 识智能已成为无人驾驶货运领域唯一的"超级航母"。 与此同时，菜鸟无人车的管理和技术负责人也 ...

Core Viewpoint - The article discusses the evolution and challenges faced by Alibaba's autonomous vehicle initiatives, particularly focusing on the logistics sector, highlighting missed opportunities and internal conflicts that led to the decline of its autonomous vehicle projects [3][4][5]. Group 1: Industry Developments - The autonomous logistics vehicle sector has seen significant capital influx and operational advancements in 2023, with companies like New Stone Technology and NineSight completing substantial funding rounds, indicating a rebound after years of stagnation [3]. - NineSight is reportedly in talks to acquire Alibaba's logistics vehicle division, which could enhance its competitive position in the logistics market [3][4]. - The article notes that the autonomous vehicle sector in China is approaching a pivotal moment with several companies preparing for IPOs, marking a transition from a nascent stage to a more mature market [3]. Group 2: Alibaba's Internal Dynamics - Alibaba's autonomous vehicle efforts began with the establishment of the Cainiao ET Logistics Laboratory, which aimed to develop autonomous logistics vehicles but faced strategic misalignments and leadership changes that hindered progress [7][9]. - The dual approach within Alibaba, with the Cainiao ET Laboratory focusing on logistics and the Damo Academy's autonomous driving lab targeting passenger vehicles, led to resource duplication and inefficiencies [15][29]. - The merger of the Cainiao ET Laboratory into the Damo Academy's autonomous driving lab in 2020 was a significant turning point, consolidating efforts but also leading to internal conflicts and a loss of focus on logistics applications [30][36]. Group 3: Key Personnel and Leadership Changes - Key figures such as Zhang Chunhui and Chen Junbo played pivotal roles in the development of Alibaba's autonomous vehicle projects, with their departures marking critical moments in the decline of these initiatives [12][50]. - The leadership transition within the Damo Academy, particularly the appointment of Wang Gang and subsequent changes in strategic direction, contributed to the fragmentation of the autonomous vehicle team [25][41]. - The article highlights the contrasting management styles of Chen Junbo and Guo Zhenyu, which created friction within the team and ultimately affected project outcomes [47][49]. Group 4: Project Outcomes and Future Directions - The autonomous logistics vehicle "Xiaomanlv" achieved significant operational milestones, including reaching 1 million delivery orders, but faced challenges in scaling due to budget constraints and strategic misalignment [36][52]. - The ambitious plans for the "Dabanlv" project, aimed at developing autonomous heavy-duty trucks, were ultimately abandoned following key personnel exits, signaling a broader decline in Alibaba's autonomous vehicle ambitions [50][54]. - The article concludes with the integration of the Xiaomanlv project back into Cainiao, indicating a shift in focus towards logistics and a potential re-evaluation of Alibaba's strategy in the autonomous vehicle space [53][54].

Core Viewpoint - The article discusses the rapid development and commercialization of unmanned delivery vehicles in China, driven by favorable policies, market demand, and decreasing costs, highlighting the strategic moves of various listed companies in this sector [6][12]. Industry Overview - The cost of last-mile delivery accounts for over 30% of total logistics costs, and with rising labor costs, the demand for unmanned delivery solutions is increasingly urgent [3][4]. - Recent policies have facilitated the deployment of unmanned vehicles in sectors such as pharmaceuticals, heavy goods delivery, and express logistics, leading to significant commercial achievements [4][6]. Policy Support - National policies have been introduced to support unmanned logistics vehicles, including the issuance of "pass licenses" and the gradual opening of road rights across provinces, laying a foundation for large-scale applications [6][12]. - By September 2025, over half of China's 3,600 districts and counties will support unmanned vehicles on the road, with ongoing expansion of policy support [6]. Market Demand - The explosion of market demand, particularly in the pharmaceutical sector, has driven the need for timely delivery, with traditional delivery methods failing to meet current requirements [6][14]. - The growth of the instant retail market has exacerbated the capacity shortage, necessitating technological solutions to address high logistics costs [4][14]. Cost Reduction - The cost of unmanned vehicles is rapidly decreasing, with prices dropping from over 1 million yuan in 2018 to below 20,000 yuan for the latest models [7]. - Key components such as lidar and cameras have seen significant price reductions, further enabling the scalability of unmanned vehicle applications [7]. Strategic Moves by Listed Companies - Companies like Desay SV and Youjia Innovation are entering the unmanned delivery vehicle market with differentiated strategies, focusing on low-speed unmanned vehicles and leveraging existing data for algorithm optimization [9][10]. - Desay SV's "Chuanxing Zhiyuan" brand has launched low-speed unmanned vehicles with innovative technologies, targeting high-demand markets such as instant delivery and urban logistics [9]. Commercialization Achievements - The collaboration between Zhongying Pharmaceutical Group and Cainiao has set a benchmark in pharmaceutical delivery, achieving a 50% reduction in delivery costs and a 70% increase in efficiency through unmanned vehicles [14]. - In the express delivery sector, unmanned vehicles have demonstrated a 70% cost reduction, with per-package costs dropping to 0.1 yuan [14]. Challenges Ahead - Despite rapid growth, the industry faces challenges related to system integration, balancing costs, performance, and development cycles [15]. - The potential for unmanned vehicles to replace traditional transport methods could lead to a market size of 207.1 billion yuan annually, with significant implications for the logistics industry [15].

Core Insights - The demand for unmanned delivery is increasing due to rising labor costs, with last-mile delivery costs exceeding 30% of total logistics costs [1][2] - Government policies are facilitating the commercialization of unmanned vehicles, with over half of China's districts supporting their road usage by September 2025 [2][8] - The cost of unmanned vehicles is rapidly decreasing, making them more accessible for large-scale applications [3][4] Industry Acceleration - National policies have been introduced to support unmanned logistics vehicles, including the "Notice on Conducting Pilot Work for Intelligent Connected Vehicles" [2] - As of September 2025, over 1,900 out of 3,600 districts in China have allowed unmanned vehicles on the road, indicating a significant expansion of policy support [2] - The increasing demand for timely delivery in sectors like pharmaceuticals is driving the need for unmanned delivery solutions [2][7] Cost Reduction and Commercialization - The price of unmanned vehicles has dropped significantly, with some models now available for under 20,000 yuan, compared to over 1 million yuan in 2018 [3][4] - The supply chain for unmanned vehicles is becoming more cost-effective, with components like lidar and cameras seeing substantial price reductions [3] - The reduction in delivery costs is paving the way for broader commercialization of unmanned vehicles [4][8] Strategic Moves by Listed Companies - Companies like Desay SV and Youjia Innovation are entering the unmanned logistics market with differentiated strategies [4][5] - Desay SV launched its "Chuanxing Zhiyuan" brand, focusing on low-speed unmanned vehicles with innovative features [4] - Youjia Innovation's "Xiaozhu Unmanned Vehicle" is designed for logistics scenarios, leveraging data from previous operations for optimization [5][6] Commercial Success Stories - Partnerships between companies like Zhongying Pharmaceutical Group and Cainiao have demonstrated the effectiveness of unmanned delivery, achieving a 50% reduction in delivery costs and a 70% increase in efficiency [7] - In the express delivery sector, unmanned vehicles have reduced costs by 70%, with per-package costs dropping to 0.1 yuan [7] - By September 2025, Cainiao's unmanned vehicles are expected to cover 25 provinces and over 1,900 districts in China [7] Challenges and Future Outlook - The unmanned vehicle industry faces challenges related to system integration and balancing costs, performance, and cycles [8] - Low-speed unmanned vehicles can address last-mile delivery issues while also enhancing autonomous driving algorithms through data feedback [8] - The logistics unmanned vehicle market has the potential to replace 4.44 million commercial vehicles annually, with a corresponding market size of 207.1 billion yuan [8]