智通财经APP获悉，2025年，在生成式AI与商业化机遇的双重驱动下，移动生态各核心指标均创下历史新高。在Sensor Tower 发布的《2026年移动市场报 告》中，数据显示全球应用下载量、用户使用时长与应用内购收入均攀升至新高。其中，全球内购总收入同比增长10.6%，规模达1670亿美元，标志着移 动市场已全面进入以变现为核心的新发展阶段。 在多数成熟市场，下载量与使用时长的增长趋于平缓，而收入仍持续增长，进一步激化了各品类对有限用户注意力的争夺。2025年，App Store 与 Google Play 平台的应用内购及付费应用总收入达1670亿美元，同比增长10.6%。其中，非游戏类应用首次在内购收入上超越游戏，成为增长主力——其IAP收入 同比增长21%，规模已达五年前的近三倍;相比之下，游戏收入增长较为温和，同比增幅为1.3%。 移动市场高度全球化，而本地化洞察正成为制胜关键 尽管移动生态的全球互联性日益增强，但各国在竞争格局、关税政策与监管环境等方面的显著差异，使得针对本地市场的深度理解变得至关重要。2025 年，美国依然是全球移动收入规模最大的市场，消费者支出接近600亿美元。西欧市场同样为 ...

Core Viewpoint - Haitong International initiates coverage on New Oriental with a target price of HKD 49 for its H-shares and an "outperform" rating, highlighting the company's leading position across various segments including K12 and overseas business [1] Group 1: Business Performance - The company’s generative AI applications in automatic courseware generation, digital avatars of teachers, and homework grading are expected to enhance conversion efficiency and content quality, aiding in operational efficiency and business focus [1] - For the first quarter of the fiscal year ending August 2026, the adjusted operating profit margin increased by 1 percentage point year-on-year, primarily driven by Dongfang Zhenxuan [1] Group 2: Future Projections - In the second quarter of fiscal year 2026, the company is expected to further improve its profit margin by an additional 2 percentage points due to a slowdown in the expansion of teaching centers and an increase in utilization rates, alongside a low base from the previous year [1] - For the fiscal year ending May 2026, the adjusted operating profit is projected to be USD 650 million, corresponding to a profit margin of 12.1% [1] - A conservative outlook is anticipated for the second half of the fiscal year due to uncertainties in studying abroad and competition in the K9 segment, with an expected year-on-year improvement of 0.3 to 0.5 percentage points [1]

Core Insights - The GTC 2025 Global Traffic Conference in Shanghai attracted over 14,000 attendees and recorded more than 24,000 total entries over two days [1] - The conference featured two main summits focused on AI and short dramas, where entrepreneurs shared valuable experiences to accelerate growth in these sectors [3] AI and Emotional Companion Hardware - The rapid increase in the global single population, particularly in China, the US, and Japan, is driving demand for emotional companion AI hardware [5] - Technologies such as deep learning and natural language processing are evolving AI products from functional tools to emotional companions, with a significant user base in the "ACG" (Anime, Comic, Game) culture [5] Market Potential of Generative AI Applications - The generative AI application market is projected to reach $1.3 trillion by 2032, with downloads and revenue increasing by 96% and 150% respectively from 2022 to 2024 [7] - A mixed monetization model combining IAA (In-App Advertising), IAP (In-App Purchases), and subscriptions is becoming mainstream, particularly in emerging markets like Mexico and Brazil [7] AI Native Systems and Productivity - AI is transitioning to a "software-first" paradigm, with human roles shifting towards supervision and decision-making [9] - The implementation of AI native systems involves three stages: single-task applications, multi-application collaboration, and general intelligence for cross-departmental coordination [9] Non-Gaming App Growth - Non-gaming apps are expected to surpass gaming revenue for the first time, with user attention shifting towards diverse app categories [11] - Effective user engagement outside of "walled gardens" is crucial for developers to achieve growth [11] AI Product Revenue Growth Strategies - AI companies are experiencing unprecedented growth but face challenges such as high operational costs and the need for effective monetization strategies [15] - High-growth companies are more likely to adopt outcome-based pricing models, reflecting a shift in customer expectations towards paying for actual results rather than usage [15][16] Short Drama Market Trends - The global in-app purchase revenue for short drama apps reached nearly $700 million in Q1 2025, a fourfold increase from the previous year, with the US contributing nearly half of this revenue [27] - The typical user profile for overseas short dramas is primarily women aged 25-44, including young mothers [27] Production Cost Efficiency in Short Dramas - Filming locations for short dramas are shifting to lower-cost countries like China and Poland, allowing for significant cost savings while maintaining quality [36] - The industry is moving towards a more integrated approach, combining content, marketing, and production to enhance competitiveness [37]

Group 1 - The global economy shows significant resilience despite rising tariffs, geopolitical tensions, and fiscal pressures, driven by AI transformation, flexible trade adjustments, and moderate monetary and fiscal policies [9] - China aims for resilient, stable, and inclusive economic growth from 2026 to 2030, focusing on self-reliance in technology, particularly in semiconductors and AI, while facing challenges such as demand fluctuations and a declining real estate market [12] - Japan's economic growth is expected to slow due to tariff impacts, but it can avoid recession, with core CPI inflation projected to drop below 2% by 2026 [15] Group 2 - The Asian economy (excluding Japan) presents mixed growth prospects, with a strong performance in the tech sector but challenges in non-tech sectors due to high tariffs on labor-intensive industries [19] - The Chinese internet sector's focus will remain on AI strategies and competition in the instant retail space, with expectations of reduced competitive intensity in the fourth quarter [22][23] - China is increasingly developing a self-sufficient AI supply chain, with significant investments in AI infrastructure and a focus on enhancing operational efficiency through large language models [26] Group 3 - Market attention is shifting towards fiscal stimulus policies, inflation trends, and real estate market support, with stable performance in the onshore stock market and steel-related commodities [30] - The A-share market's future growth will be driven by policy support, liquidity, and industrial upgrades, despite high valuations and the need for confirmed improvements in fundamentals [35]

Core Viewpoint - Nomura emphasizes China's focus on resilient, stable, and inclusive economic growth from 2026 to 2030, driven by significant investments and industrial policies, particularly in the semiconductor and AI sectors [2][6]. Group 1: Economic Outlook - Global economy shows significant resilience despite challenges such as rising tariffs and geopolitical tensions, supported by AI transformation and flexible trade adjustments [4]. - Asia (excluding Japan) is expected to face a challenging external environment while maintaining strong performance in the tech sector, driven by AI demand and a supercycle in storage chips [5]. - China's economic growth remains steady, but potential challenges include weak domestic demand and rising global trade barriers [8]. Group 2: A-Share Market Dynamics - Policy support, liquidity, and industrial upgrades are identified as core drivers for the future rise of A-shares, with AI and high-value exports being key themes for the upcoming year [6][2]. - Despite high valuations in A-shares, the equity risk premium remains reasonable, indicating potential for continued market support [6]. Group 3: AI and Technology Sector - The trend towards a self-sufficient AI supply chain in China is becoming increasingly evident, with significant investments in AI infrastructure and the development of large language models [10][11]. - The internet sector's focus will remain on strategic investments in AI by leading platforms and the competitive landscape in instant retail, with expectations of reduced competition intensity in the fourth quarter [11]. Group 4: Policy and Investment Focus - The Chinese government is likely to shift its policy focus towards stabilizing growth and alleviating price pressures, with fiscal expansion becoming a key agenda item [8].

Core Insights - Nomura emphasizes China's focus on resilient, stable, and inclusive economic growth from 2026 to 2030, driven by significant investments and industrial policies, particularly in semiconductors and artificial intelligence [1][5] - The core drivers for the A-share market's future growth are policy support, liquidity, and industrial upgrades, with AI and high-value exports identified as key themes for the upcoming year [4][1] Group 1: Global Economic Resilience - Despite rising tariffs, geopolitical tensions, and fiscal pressures, the global economy shows significant resilience, supported by the AI revolution, flexible trade adjustments, and moderate monetary and fiscal policies [2] - Economic inequality is becoming more pronounced, with low-income families and small businesses struggling, posing challenges for policymakers to maintain global economic stability [2] Group 2: Asian Economic Outlook - The technology sector in Asia (excluding Japan) is expected to perform well, driven by strong demand for AI and a supercycle in storage chips, while non-tech sectors face challenges due to limited spillover effects from AI and increased tariffs on labor-intensive industries [3] - The region's solid economic fundamentals and new growth drivers, such as supply chain shifts and increased AI investment, position India, the Philippines, and Malaysia as some of the fastest-growing economies in the next decade [3] Group 3: A-share Market Dynamics - A-share valuations have expanded over the past year but remain reasonable when considering the equity risk premium in a declining risk-free rate environment [4] - The "14th Five-Year Plan" emphasizes long-term productivity upgrades and technological transformation, which will catalyze structural market trends, although improvements in earnings fundamentals are still needed [4][7] Group 4: AI and Technology Sector Developments - The trend towards a self-sufficient AI supply chain in China is becoming more evident, with significant investments in AI infrastructure and a focus on developing large language models and generative AI applications [8] - The competitive landscape in the instant retail sector is expected to stabilize, potentially alleviating losses for companies expanding in this area [8] Group 5: Entertainment Sector Insights - The online entertainment sector, particularly online gaming and music services, is expected to remain resilient, while long-form video content may continue to lag due to shifts in consumer preferences towards short videos [9]

Core Insights - The adoption of generative AI and agents is driving significant growth in AI infrastructure, transforming the technology stack into a dynamic, interconnected ecosystem [1] - By the end of 2029, the number of consumers using generative AI applications is expected to exceed 5.7 billion, with a compound annual growth rate (CAGR) of 13.2% from 2024 [2][3] - The enterprise market is expanding generative AI across various departments, necessitating high-performance infrastructure to support diverse application scenarios [3] AI Infrastructure Market Dynamics - New entrants are increasingly entering the AI infrastructure market, with public cloud providers offering scalable, integrated AI services, while edge and hybrid cloud providers facilitate real-time processing [4] - AI-native cloud providers focus on high-performance GPU clusters to meet training and inference needs, while telecom companies leverage their network infrastructure to support edge AI deployments [4] Recommendations for AI Infrastructure Buyers - Buyers should prioritize geographically proximate dedicated AI infrastructure to handle latency-sensitive workloads and ensure compliance with data sovereignty laws [7] - Careful vendor selection is crucial, emphasizing flexibility in deployment models and the ability to dynamically scale services based on business needs [7] - Strong security and compliance practices should be a core consideration when choosing suppliers, ensuring they meet industry and regional requirements for sensitive AI data [7] Recommended Vendors - Major full-stack cloud providers like Amazon Web Services and Google Cloud have gained favor among AI application companies in the Asia-Pacific market [8] - IDC highlights CoreWeave and GMI Cloud as recommended new cloud and AI-native cloud vendors [8]

Core Viewpoint - Goldman Sachs reports that SenseTime has secured new generative AI project orders from enterprise (ToB) and government (ToG) clients across various sectors including education, healthcare, media, finance, and transportation, indicating a positive growth outlook for the company [1] Group 1: Project Growth and Market Conditions - The firm anticipates accelerated project growth driven by increased cloud capital expenditure in mainland China and favorable policies such as the AI+ action plan announced in August [1] - SenseTime is positioned to meet diverse client needs by offering a comprehensive suite of solutions that includes computing power, large-scale AI infrastructure, AI foundational models, and generative AI applications [1] Group 2: Strategic Focus and Financial Outlook - The company is expected to continue focusing on large-scale projects in the coming years to ensure higher efficiency and revenue growth [1] - Goldman Sachs has raised its target price for SenseTime from HKD 3.09 to HKD 3.53 while maintaining a "Buy" rating [1]

Economic Policy Measures - Shandong Province has introduced targeted policies to stabilize and improve the economy, focusing on key industries such as wholesale and retail, transportation, finance, and real estate [1] - The measures aim to enhance service consumption potential and support non-profit service sectors while promoting high-quality development in the service industry [1][2] Service Industry Contribution - In 2024, Shandong's GDP is projected to reach 9.86 trillion yuan, with the service sector contributing 5.23 trillion yuan, accounting for 53.1% of GDP and contributing 50.2% to economic growth [2] - The service industry's growth rate has improved, with a 5.8% year-on-year increase in the first half of the year, raising its GDP share to 54.4% [2] Production Service Sector Challenges - The production service sector in Shandong is identified as a weak point, with insufficient enterprise tier construction and a lack of leading companies to drive innovation [3] - The province plans to support the development of high-end production services and aims to cultivate around 30 leading production service enterprises and 20 innovation centers by the end of the year [3] Financial Support for Service Development - Shandong will allocate 200 million yuan in guiding funds to support new enterprises and key projects in high-end production services and quality life services [3] - An additional 10 million yuan will be directed towards high-growth enterprises and projects that are in the process of being recognized as new standards [3]

Group 1 - The mobile communication industry is experiencing a transformative wave driven by the rise of Generative AI (GenAI), which is expected to lead to a new era of development [1][2][42] - GenAI applications are becoming increasingly integrated into daily life, providing personalized experiences and practical services, thus potentially initiating a new network revolution [2][5] - The latest Ericsson Mobile Market Report provides comprehensive insights into the impact of GenAI on mobile communication networks, highlighting the need for adaptation and innovation within the industry [3][4] Group 2 - GenAI applications are characterized by their interactive and personalized content delivery, which significantly differs from traditional applications that rely on passive user engagement [14][15][8] - The rise of high-performance AI devices and bandwidth-intensive media formats will lead to a substantial increase in video traffic consumption from GenAI applications [11][12] - The demand for network resources will shift, with a notable increase in upstream bandwidth requirements due to user interactions and content sharing [17][28] Group 3 - The report identifies three key strategies for mobile communication networks to effectively respond to the changes brought by GenAI: refined network planning, expansion of frequency spectrum resources, and the introduction of differentiated connectivity [31][32][39] - Enhanced network management capabilities are essential to accommodate the complex and dynamic traffic patterns generated by GenAI applications [33][34] - Increasing mid-band and centimeter-wave frequency spectrum resources will directly support the high traffic demands of GenAI applications, particularly the growing upstream traffic [35][36] Group 4 - The emergence of AI agents and immersive technologies will further transform user interactions, necessitating continuous upstream connectivity for data transmission and real-time processing [21][25] - The shift towards a more intelligent, flexible, and scalable network architecture is imperative for the future of mobile communication, driven by the demands of GenAI applications [42][41]