作者 | 哥吉拉 数据支持 | 勾股大数 据（www.gogudata.com） 今天， A 股再创历史性时刻！ 截至收盘，沪指再度大涨 1.51% ， A 股总成交 3.177 万亿元，仅次于 2024 年 10 月 8 日的 3.48 万亿元， 创下历史上第二个成交额超 3 万亿的记录。 这一次， A 股没有当初的疯狂，却有了相近的成交额，足以见证市场对牛市的信心正在急速飙升。 指数 "破百"速度越来越快，从今年 5 月中美释放暂停互加关税的重磅利好以来，沪指： 从 3400 点到 3500 点：用时 58 个交易日； 从 3500 点到 3600 点：用时 12 个交易日； 从 3600 点到 3700 点：用时 22 个交易日 ； 从 3700 点到 3800 点：用时 8 个交易日。 到今天，沪指收涨 3883.56 点，距离下一个破百点位仅一步之遥，而目前仅用时 1 天。 A 股的全面牛市行情，已是不容置疑的事实。 今天，板块科技股继续引领全市场，吸引海量资金跑步入场追注，同时这股热潮也快速蔓延了港股市场。 截至港股收市，恒指、恒生科技指分别大涨1.94%、3.14%，其中蔚来、百度、阿里、网易、 ...

阿里巴巴集团业务结构再生变，阿里业务结构正式从"1+6+N"正式收缩为四大业务，全面聚焦"电商、云+AI"。 "1+6+N"架构成为历史 记者从阿里巴巴官网发现，阿里旗下业务从原有的六大业务集团被划分为四大业务类别，分别为阿里巴巴中国电商集团、阿 里国际数字商业集团、云智能集团以及所有其他业务。 具体来看，阿里巴巴中国电商集团中的电商板块包含淘宝、天猫、闲鱼、飞猪旅行；即时零售板块包括淘宝闪购、饿了么； 批发板块为1688业务。 阿里中国电商集团在2024年11月正式建立。2024年11月21日，阿里巴巴成立了全新的电商事业群，新事业群直接将此前拆分的 淘宝天猫集团、国际数字商业集团，以及1688、闲鱼等电商资源重新整合，形成国内外全产业链覆盖的电商超级业务单元。 今年6月，阿里正式将饿了么、飞猪合并入阿里电商事业群。8月初，淘宝上线了全新的大会员体系，打通饿了么、飞猪等阿 里系资源，覆盖吃喝玩乐、衣食住行等生活场景。 所有其他类别的业务包括钉钉、夸克、高德地图、菜鸟、优酷、大麦娱乐、盒马、阿里健康、橙狮体育等。 从变化来看，原有的本地生活集团的业务被拆分，饿了么被归入阿里中国电商集团，高德被划分至所有其他类 ...

其中，阿里巴巴中国电商集团旗下电商类业务包括淘宝、天猫、闲鱼、飞猪旅行，即时零售业务包括淘宝闪购、饿了么，批发业务包括 1688。 划归其他类别的业务包括钉钉、夸克、高德地图、菜鸟、优酷、大麦娱乐、盒马、阿里健康、橙狮体育。 | 阿里巴巴中国电商集团 | 阿里国际数字商业集团 | 云智能集团 | 所有其他 | | --- | --- | --- | --- | | 电商 | 零售 | | | | 淘宝 | AliExpress | 〔-〕阿里云 | →訂訂 | | TMALL天猫 | trendyol | | ○夸克 | | 間更 | Lazada | | 《高德地图 | | · 7 7 | Daraz | | N ! Ao 菜鸟 | | 即时零售 | | | ＞优酷 | | 淘宝闪购 | | | 泰大菱娱乐 | | C·洗了么 | | | ਦੇ ਭੱਤ | | 批发 | 批发 | | ♥ 阿里健康 | | 1688 | E Alibaba.com | | 兰 橙狮体育 | 以下文章来源于科创板日报 ，作者黄心怡 科创板日报 . 科创圈都在关注的新型主流媒体，上海报业集团主管主办，界面财联社出品。 阿里巴巴集 ...

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) in Shanghai showcased the growing interest in the AI industry from academia, industry, and investors, reflecting a significant shift in focus since the first conference in 2018 [3][4] - The AI landscape is evolving with a shift from homogeneous models to differentiated products, as companies face increasing competition and seek to maintain core advantages [6][7] - Traditional internet giants like Alibaba and Tencent are promoting full-stack AI capabilities, integrating AI models into comprehensive solutions to lower barriers for enterprises [10] Group 1: AI Model Development - The competition among large model companies has intensified, leading to a focus on differentiated product strategies, such as long text processing and multi-modal capabilities [6] - The boundaries between "model" and "application" are blurring, with model companies transitioning to comprehensive AI platforms that integrate various technologies [7] - The emergence of open-source models like DeepSeek R1 is reshaping the competitive landscape, prompting companies to explore new business models [6][7] Group 2: Cloud and AI Integration - Established cloud providers are building AI ecosystems around their models, offering one-stop AI solutions that enhance the accessibility of AI capabilities for enterprises [10] - The shift towards public cloud platforms for AI capabilities is driven by the challenges of private cloud deployment, particularly for small and medium-sized enterprises [10] - The integration of AI modules into existing cloud infrastructures is expected to reshape asset valuation logic in the long term [10] Group 3: Domestic Computing Power - Domestic computing power was prominently featured at the conference, with Huawei showcasing its Ascend 384 super node, which boasts double the computing power of NVIDIA's GB200 NVL72 system [13] - Domestic GPUs are increasingly competitive, although challenges remain in memory bandwidth and interconnect capabilities [14] - The demand for private AI deployment is driving innovation in AI integrated machines, reflecting a strong market need [15] Group 4: Edge AI Development - The WAIC highlighted the innovative potential of edge AI, though the commercialization paths for these products remain limited [18] - Key areas for improvement in edge AI include multi-modal perception and decision-making capabilities, which are critical for applications like robotics and AR [18] - The smartphone is positioned as a likely platform for AI agents due to its proximity to users and strong computational capabilities, although industry caution regarding technology maturity persists [18][19]

Key Insights - The report highlights the recovery of the consumer electronics cycle and the expansion into new fields as key growth drivers for the company, which is recognized as a leader in 3C equipment [4][5] - The manufacturing sector is showing signs of improvement, with PMI figures gradually approaching the growth line, indicating a potential recovery in the manufacturing industry [4][5] - The company is actively expanding into emerging fields such as humanoid robots and low-altitude economy, which are expected to drive demand for general equipment [5] Company Summaries 1. Genesis (300083) - The company is positioned as a leader in the 3C equipment sector, with a focus on expanding its product matrix into various fields, including general equipment and humanoid robots [4] - Revenue projections for 2025-2027 are estimated at 5,244 million, 5,731 million, and 6,262 million CNY, with corresponding growth rates of 14%, 9%, and 9% [5] - Net profit forecasts for the same period are 404 million, 548 million, and 659 million CNY, with growth rates of 70%, 36%, and 20% [5] 2. Weishi Jiajie (00856) - The company is transitioning from traditional distribution to becoming a provider of intelligent solutions, driven by cloud computing and AI [6] - Revenue forecasts for 2025-2027 are 1,029.52 million, 1,184.25 million, and 1,349.97 million HKD, with growth rates of 15.57%, 15.03%, and 13.99% [6] - Net profit estimates for the same period are 11.91 million, 14.13 million, and 16.30 million HKD, with growth rates of 13.26%, 18.63%, and 15.35% [6] 3. Huaya Intelligent (003043) - The company is a leading supplier of precision metal structural components for semiconductor equipment and is expanding into solid-state battery equipment [7] - Revenue projections for 2025-2027 are 1,313 million, 1,571 million, and 1,794 million CNY, with growth rates of 109.3%, 19.6%, and 14.2% [7] - Net profit forecasts for the same period are 157 million, 188 million, and 211 million CNY, with growth rates of 94.9%, 19.7%, and 11.9% [7] Industry Insights - The macroeconomic analysis indicates that the manufacturing PMI has decreased to 49.3% in July, suggesting a weakening recovery momentum [8] - The overall market sentiment remains optimistic, with expectations of a "slow bull" market despite recent adjustments [9][10] - The bond market is experiencing a new normal characterized by slow declines and rapid increases, with investors advised to remain patient for further rate decline catalysts [11]

Core Viewpoint - Alibaba Cloud is at a pivotal moment in its international business, marking its first decade of global operations, with a strong emphasis on strategic investments and expansion in overseas markets [1][2]. Group 1: Progress and Growth - Alibaba Cloud operates in 29 regions with 89 available zones, serving approximately 5 million customers globally, and has seen its overseas market scale grow over 20 times in the past five years [2][3]. - The company has recently launched new data centers in Mexico, Thailand, South Korea, and Malaysia, aiming to enhance its global cloud computing network [3][5]. Group 2: Demand and Infrastructure - The acceleration in opening overseas data centers is driven by increasing customer demand for cloud resources and AI products, as well as a commitment to long-term service capabilities [4][5]. - The company is focused on building a robust infrastructure to support its international clients, with plans for more data centers to facilitate growth [5]. Group 3: Client Engagement and Trust - Alibaba Cloud has established partnerships with major global companies such as the International Olympic Committee, LVMH, SAP, and BMW, demonstrating its ability to meet high standards and build trust over time [6][7]. - The selection criteria for cloud service partners by top global companies include product technology capabilities, global infrastructure, and sustainability [7]. Group 4: Industry Focus and AI Integration - The company targets six key industries: Internet, finance, retail, manufacturing, media, and cultural tourism, leveraging its digital transformation expertise [8]. - There is a growing demand for AI solutions, with predictions indicating a significant shift towards cloud and AI integration in the coming years [9][10]. Group 5: Emerging Markets and Localization - Key emerging markets for Alibaba Cloud include Asia, Latin America, and the Middle East, with a focus on establishing local data centers and partnerships [12][13]. - The company emphasizes localization by building local teams and service systems, with over 60% of employees in some regions being local [14]. Group 6: Future Investment Plans - Over the next 3-5 years, Alibaba Cloud plans to enhance its AI capabilities, expand its global infrastructure, and strengthen local ecosystems [15]. - The company aims to maintain a long-term investment approach in global markets, focusing on compliance, infrastructure, and collaborative AI services [15].

Group 1 - Alibaba Group announced a major strategic adjustment, integrating Ele.me and Fliggy into Alibaba's China e-commerce business unit, led by Jiang Fan, to enhance collaboration and resource allocation [1] - The integration is driven by the explosive growth of Alibaba's instant retail business, "Taobao Flash Purchase," which achieved over 60 million daily orders in less than two months [1] - The adjustment consolidates consumer-oriented businesses, while Gaode, which was previously part of local life services, is left as an isolated entity [1] Group 2 - Gaode Map has a monthly active user base of 873 million, ranking just behind WeChat, Taobao, and Alipay, indicating strong user engagement [2] - Despite its large user base, Gaode struggles with monetization due to its strong "tool" attribute, which limits its ability to convert users into paying customers [3][4] - Gaode has evolved from a navigation app to a comprehensive platform offering various services, including food delivery, travel, and leisure activities [4] Group 3 - Gaode's attempts to integrate various functionalities aim to increase user engagement, but it still faces challenges in converting users into consumers [5][6] - The partnership with Douyin allows users to view and purchase group-buying products directly from Gaode, but it introduces risks of user drop-off due to the need for additional steps in the purchasing process [8][9] - Gaode's local life service expansion is hindered by organizational challenges and competition from platforms like Meituan and Douyin [11][10] Group 4 - Gaode has restarted its ride-hailing services and expanded into international markets, but it faces issues with service quality and regulatory compliance [11][13] - The aggregation model used by Gaode in its ride-hailing services has raised concerns about transparency and high commission rates, impacting both passenger costs and driver earnings [13] - Gaode's exploration of AI and AR technologies aims to enhance its navigation services and create new business opportunities [15] Group 5 - Gaode's diverse monetization strategies include service fees, advertising, and commissions, leading to profitability in the third fiscal year of 2025 [16] - The company faces skepticism regarding the sustainability of its profitability due to its low-cost aggregation model and issues with advertising practices [17] - In the context of Alibaba's focus on core businesses, Gaode must demonstrate its ability to create sustainable value and explore new growth avenues [18]

Core Insights - The company is expanding its computing power resources with the delivery of the third phase of the Ulanqab Intelligent Computing Center, which includes a building area of approximately 23,000 square meters and around 2,300 cabinets designed to support high-performance devices like GPUs [1] Financial Performance - In 2024, the company reported revenue of 1.503 billion yuan, with a year-on-year reduction in net loss of 102 million yuan, reflecting a 29.67% recovery [1] - The overall gross margin improved to 18.86%, an increase of 7.75 percentage points from 2023, while the gross margin for cloud computing rose from 10.58% to 20.57% year-on-year [1] - In Q1 2025, the company's overall gross margin increased by 9.25 percentage points year-on-year to 24.34%, indicating enhanced profitability [1] Business Expansion - The company is actively expanding its overseas business, having deployed 30 data centers across 22 regions globally, covering key areas such as Southeast Asia, Europe, North America, and Africa [1] - The company has established a "dual center" architecture with the Ulanqab Intelligent Computing Center and the Shanghai Qingpu Intelligent Computing Center, enhancing service capabilities for leading AI companies [2] R&D and AI Integration - The company is increasing its R&D efforts in "cloud + AI" to facilitate the practical application of AI technologies across various industries [3] - Collaborations with major domestic chip manufacturers and the establishment of a domestic computing cluster are aimed at improving the efficiency and performance of AI inference applications [3] - The company has successfully implemented several benchmark projects, including partnerships for AI training platforms and medical AI applications [3] Revenue Forecast and Investment Recommendation - Revenue projections for the company from 2025 to 2027 are estimated at 1.804 billion, 2.170 billion, and 2.589 billion yuan, with corresponding growth rates of 20.03%, 20.28%, and 19.34% [4] - The net profit forecast shows a turnaround from a loss of 85 million yuan in 2025 to profits of 270 million and 1.03 billion yuan in 2026 and 2027, respectively [4] - The company is recommended for investment based on its expected growth in the intelligent computing service sector, despite anticipated losses in 2025 [4]

Core Viewpoint - Alibaba is expected to report strong financial results for Q1 2025, driven by its "AI-driven" strategy, with significant upgrades in ratings and target prices from Wall Street firms [1] Group 1: Financial Performance Expectations - For Q1 2025, Alibaba is projected to achieve revenue of 237 billion yuan, a year-on-year growth of 7%, and an adjusted net profit of 31.4 billion yuan, reflecting a 31% increase [1] - The adjusted profit margin is expected to be 13%, with earnings per share reaching 8.167 yuan, a remarkable growth of 528.24% year-on-year [1] - Analysts anticipate that the Taotian Group will generate revenue of 98 billion yuan in Q1 2025, maintaining a year-on-year growth rate of 5% [2] Group 2: E-commerce and AI Strategy - Alibaba's e-commerce segment, including Taobao, Tmall, and Xianyu, remains the core revenue driver, with a focus on enhancing monetization rates and GMV [1][2] - The company aims to leverage AI to reconstruct the e-commerce ecosystem, enhancing consumer experiences through personalized recommendations and virtual shopping assistants [2] - Analysts believe that AI technology will significantly improve user engagement and transaction efficiency on platforms like Taobao [2] Group 3: Cloud Business Growth - Alibaba Cloud is expected to see rapid growth driven by increased AI demand, with the company planning to invest over 380 billion yuan in cloud and AI infrastructure over the next three years [4] - The demand for AI cloud computing is projected to double every three months, with Alibaba Cloud's model usage expected to increase tenfold within a year [5] - Analysts predict that Alibaba Cloud's revenue growth will accelerate, with a projected year-on-year increase of 16% in AI-related product revenue [5] Group 4: Market Position and Valuation - Alibaba Cloud holds a leading market share of 26.1% in China's public cloud IaaS market, which is expected to grow by 13.8% in the second half of 2024 [6] - Analysts estimate that AI-related revenue for Alibaba Cloud will reach 29 billion yuan and 53 billion yuan in FY 2026 and FY 2027, respectively, contributing to over 20% revenue growth [6] - If AI boosts cloud revenue growth by 2 percentage points, Alibaba's stock price could increase by 1%, with a potential valuation of Alibaba Cloud reaching 185 billion USD [6]

Group 1: Core Strategy - The "Cloud + AI" development strategy has become a common goal for major tech companies globally, with Akamai transitioning towards this strategy as well [1][2] - Akamai's revenue growth is increasingly driven by its security and cloud computing segments, with cloud computing being the fastest-growing business unit [1][4] Group 2: Market Trends - The shift towards "Cloud + AI" is largely driven by customer demand for digital transformation, leading to increased needs for cloud computing [2][3] - AI technology has become essential in the digital transformation process across various industries, with companies willing to invest heavily in AI despite strict cost control measures [3][5] Group 3: Business Performance - Akamai's CDN business has seen a decline in revenue contribution from nearly 80% in 2016 to 40% currently, while security services have risen to 47% and cloud computing services to 13% of total revenue [4][6] - The emergence of the inference market is expected to see investments in AI inference surpassing those in training by a factor of ten [5][6] Group 4: Edge Computing - The edge computing market is experiencing growth, with predictions indicating a potential market size of $445 billion by 2030, driven largely by AI inference demand [9][10] - Akamai aims to leverage its CDN resources to enhance edge computing capabilities, reducing latency and costs for clients [6][10] Group 5: Competitive Landscape - The competition in the "Cloud + AI" space is shifting from scale of computing power to how effectively companies can integrate edge intelligence, distributed architecture, and security capabilities [10]