Core Viewpoint - The article discusses the rising popularity of the HarmonyOS 5 among young users, highlighting their enthusiasm for new technology and the system's unique features that cater to their needs and preferences [2][3][73]. User Demographics - The survey included 596 participants, with 64.4% male and 35.6% female, primarily consisting of university students (42.1%) and graduate students (25.4%) [4][3]. - Among the users of HarmonyOS 5, 42.7% are graduate students, and 50% are doctoral students, indicating a strong preference for the system among highly educated individuals [7][9]. Transition from Other Systems - 34.5% of young users switched from Android to HarmonyOS 5, while 28.6% transitioned from iOS, showing a significant shift towards embracing domestic technology [11]. - The main reasons for switching include supporting domestic technology (58.8%) and a desire to experience new technology (52.4%) [13][14]. User Experience and Features - Over 70% of users have engaged with HarmonyOS 5 for more than three months, breaking the typical "three-month novelty" barrier [16]. - Users rated the overall experience of HarmonyOS applications at an average of 4 out of 5, with the highest satisfaction in interface interaction (4.4) and multi-device collaboration (4.3) [21][22]. AI Integration - 63.1% of young users frequently or occasionally use Huawei's AI assistant, Xiao Yi, with the most popular features being AI knowledge Q&A (61.9%), AI image recognition (42.1%), and AI writing (36.7%) [30][38]. - The assistant is seen as a valuable tool for enhancing learning efficiency and assisting in daily tasks [29][40]. Multi-Device Collaboration - 90% of young users require at least two devices for work or study, with the most favored combination being a computer and a phone (49.7%) [44][45]. - The most utilized cross-device collaboration features include file transfer (85.2%) and cross-device copy-paste (64.4%) [49]. Data Privacy Concerns - 96% of young users are highly vigilant about data privacy, with 83.9% prioritizing sensitive data permission control [52][56]. - HarmonyOS 5 addresses privacy concerns by minimizing and precisely controlling permissions, enhancing user trust [58][59]. Engagement in Development - 13.4% of young users have participated in HarmonyOS-related activities, with the most common being public lectures and technical seminars [61][62]. - There is a growing interest in becoming developers for HarmonyOS, particularly among engineering students [70]. Future Outlook - The article concludes that HarmonyOS 5 is gaining traction among young users, who are not only using the system but also engaging in its development, indicating a promising future for the platform [73][75].

Group 1: AI Application Market Dynamics - The AI application market in China is undergoing significant changes, with "embedded" plugin AI applications experiencing explosive user growth, reshaping the mobile internet ecosystem [1] - As of May, the monthly active users (MAU) of plugin AI applications reached 580 million, marking a year-on-year growth rate of 106.0%, making it the leading category among AI applications [1] - Major players like Douyin and Tencent are rapidly capturing market share with their AI search services, achieving MAUs of 200 million and 160 million respectively [1] Group 2: Challenges for Native AI Apps - Native AI applications from mobile manufacturers are facing growth bottlenecks, with MAUs at 500 million in May, reflecting a modest year-on-year growth of only 9.5% [2] - These applications are experiencing user diversion due to the strong user acquisition efforts of native apps from internet companies, leading to a slowdown in user growth and usage frequency [2] - The average monthly usage frequency for these native AI applications is 17.7 times, indicating a decline in user engagement [2] Group 3: Polarization in AI Application Landscape - Internet and AI technology companies' native applications show a clear polarization, with overall MAUs at 27 million in May, driven by top applications like DeepSeek and Doubao, which have MAUs of 16.8 million and 13 million respectively [2] - However, 83.8% of smaller AI applications have MAUs below 1 million, with many experiencing a continuous decline in user numbers [2] - The PC-based AI application sector also reflects this polarization, with an overall MAU of 19 million, indicating a challenging environment for smaller developers [2] Group 4: Competitive Landscape and Ecosystem Development - The competition in AI applications has entered an ecosystem-building phase, with major players optimizing the entry points and forms of plugin AI to attract more users [3] - Companies are leveraging their strengths to bind AI plugins and create new competitive advantages, such as Tencent's focus on AI search and social interaction plugins [3] - This shift is not only squeezing the market share of native AI applications from mobile manufacturers but also altering traditional user habits in searching for news and processing images [3]

Core Insights - The AI application market in China is undergoing significant changes, with "In-App AI" applications experiencing explosive user growth, reshaping the mobile internet ecosystem [1] Group 1: AI Application Types - The current AI applications in China are categorized into four main types: In-App AI applications, native AI apps from smartphone manufacturers, native apps from internet and AI tech companies, and PC web-based AI applications [2] Group 2: In-App AI Applications - In-App AI applications have seen a surge in active users, reaching 580 million in May, marking a year-on-year growth rate of 106.0%, making it the leading category among AI applications [5] - These applications are deeply integrated into major platforms like WeChat, Douyin, and Baidu, leveraging their vast user bases, with an average of 34.7 uses per user per month [5] - Major players like Douyin and Tencent have rapidly captured market share, with monthly active users of 200 million and 160 million, respectively [5] Group 3: Native AI Apps from Smartphone Manufacturers - Native AI applications from smartphone manufacturers are facing growth challenges, with 500 million monthly active users in May, reflecting a modest year-on-year growth of 9.5% [5] - Applications like Huawei's Xiaoyi and OPPO's Xiaobu Assistant, which previously thrived due to pre-installation advantages, are now experiencing user diversion due to competition from internet-native apps [5] - These applications are struggling with a lack of differentiated features and high levels of homogeneity, resulting in reduced user growth and engagement, with an average of 17.7 uses per user per month [5] Group 4: Internet and AI Tech Companies' Native Apps - Native apps from internet and AI tech companies show a stark polarization, with a total of 27 million monthly active users in May, driven by top applications like DeepSeek and Doubao, which have 16.8 million and 13 million users, respectively [6] - However, 83.8% of smaller AI applications have fewer than 1 million monthly active users, with many experiencing a decline in user numbers [6] - The PC web-based AI application sector also reflects this polarization, with a total of 19 million monthly active users [6] Group 5: Competitive Landscape - The AI application competition has entered an ecosystem-building phase, with major players optimizing the placement and form of AI plugins to attract more users [9] - Companies are leveraging their strengths to bind AI plugins, creating new competitive advantages, such as Tencent's focus on AI search and social interaction plugins, and Douyin's emphasis on AI search and image/video processing plugins [9] - This shift is not only squeezing the market share of native AI apps from smartphone manufacturers but is also changing traditional user behaviors in searching for news and processing images [9]

Core Insights - The AI application market is experiencing significant growth and diversification, with native apps from internet/AI tech companies and plugin-based AI applications showing explosive growth, reaching 2.6 billion and 5.7 billion users respectively [12][14][18] - Mobile manufacturers still benefit from pre-installation advantages, but their growth momentum needs further observation due to strong competition from internet/AI tech companies [4][12] - The overall user engagement for internet/AI tech native apps is significantly higher, with an average usage frequency of 58 times per month, compared to 17.7 times for mobile manufacturers' native apps [4][14] Group 1: Market Trends - The rise of plugin-based AI applications has become a core model for embedding in various scenarios, leading to a low-cost, widely applicable development model similar to the rapid proliferation of mobile internet ecosystems during the 4G era [3][5] - The user engagement for plugin-based AI applications has reached an average of 34.7 times per month, with a token consumption of 34.2 trillion, indicating deep market penetration [3][5] - The internet/AI tech companies are seeing a clear upward trend in user engagement, with a significant polarization among manufacturers, where 7.8% of AI native apps have over 10 million active users [4][5] Group 2: Application Dynamics - The top five active AI applications include DeepSeek, Huawei Xiaoyi, OPPO Xiaobu Assistant, Doubao, and Xiaomi Super Xiaoai, with monthly active users of 169 million, 159 million, 156 million, 131 million, and 83 million respectively [3][4] - The traditional app landscape is evolving, with a focus on optimizing interface positions and increasing entry points to drive user growth effectively [9][12] - The growth of AI applications is also reflected in the increasing number of entry points and the renaming of products to enhance user recognition, as seen with QQ Browser and Alipay [35][60] Group 3: Competitive Landscape - Major players are adjusting their AI application strategies to attract more users, with Tencent and Douyin focusing on building new competitive advantages through AI applications [5][58] - The AI application landscape is characterized by a pyramid structure, where a significant portion of applications remains at the lower end of the user scale, indicating a long-tail phenomenon [23][30] - The top applications in the AI space are increasingly leveraging their existing user bases and technological advantages to create a more integrated user experience [60][66]