近日，九牧正式获得艾瑞咨询授予的 "全球领先智能马桶铂金除臭技术" 市场地位确认声明 。 基于 艾瑞咨询对智能马桶行业的深度研究与技术分析 ，九牧在智能马桶除臭领域的技术体系完备、专 利 路径清晰、量产落地成熟，代表了当前智能马桶除臭技术的全球领先水平。 本次市场地位确认 充分肯定 了 九牧在智能卫浴健康赛道长期投入与持续创新的里程碑意义。 基于这样的判断，九牧认为，要从根本上提升智能马桶的健康价值，必须从 "臭气源头"入手，在 马桶内部构建一套主动、高效、可持续的除臭系统，而不是依赖简单抽风或香味掩盖。这便是九牧 铂金除臭技术的起点。 技术范式升级：从被动掩盖到 "铂金除臭"主动净味 在技术路径上，九牧选择了不同于传统 "风机+滤芯"的方案：以冷触媒净化块为基础载体，引入铂 金触媒层，并与专用排气风道和高效引风机深度集成，形成一套面向马桶内腔臭气的"铂金除臭装 置"。当装置启动时，引风机会主动吸入锅面及坐便器内部的含臭气空气，引导其通过这些净化通 道，在高接触面积下完成与铂金触媒层的充分接触与催化反应，实现对异味分子的分解与净化 ， 且超长寿命。 铂金除臭装置在用户落座时自动启动 ， 除臭过程尽可能在用户感 ...

Core Insights - The article emphasizes the rapid evolution of marketing intelligence agents, which are becoming essential tools for businesses to automate and optimize their marketing strategies, moving from mere assistance to full autonomous decision-making systems [1][4][11]. Group 1: Market Trends and Global Dynamics - Three significant changes are noted: accelerated changes in platform advertising environments, rising privacy requirements, and increased digital marketing investments by companies [2]. - The application of computer technology in marketing is transitioning from data analysis and decision support to comprehensive marketing automation systems that cover creative generation, deployment strategies, and performance monitoring [4]. Group 2: Challenges for Chinese Enterprises in Overseas Marketing - Chinese companies face four main challenges when expanding overseas: cultural differences, complex channels, privacy and compliance issues, and cross-border payment difficulties [6]. - The demand for Chinese enterprises to go global has significantly increased over the past five years, particularly in cross-border e-commerce and mobile gaming [6]. Group 3: Opportunities Presented by Marketing Intelligence Agents - Marketing intelligence agents provide crucial support in content creation, compliance checks, and localized operations for Chinese enterprises venturing abroad [8]. - The rapid iteration of open-source large language models offers unprecedented advantages for Chinese companies, enabling them to generate marketing materials that align with overseas user preferences [8]. Group 4: Definition and Capabilities of Marketing Intelligence Agents - Marketing intelligence agents are defined as products based on generative AI or machine learning algorithms that can autonomously or semi-autonomously execute marketing-related tasks, assisting or replacing human marketing efforts [9]. - The core capabilities of these agents include market insights, content generation, campaign optimization, and performance reporting, facilitating a full-cycle automated marketing process [15]. Group 5: Future Technology Trends - The collaboration of multiple intelligence agents can create a closed-loop system, combining creative, deployment, and analytical agents to automate the marketing process from content generation to strategy adjustment without human intervention [17]. - The integration of large models enhances the capabilities of these agents, addressing language barriers and cultural differences in international marketing [17]. Group 6: Commercial Models of Marketing Intelligence Agents - The commercial model for marketing intelligence agents is evolving from a single software subscription to a multi-dimensional revenue system, including SaaS subscriptions, advertising revenue sharing, and value-added services [31]. - The market for intelligent marketing agents in China is expected to grow significantly, potentially exceeding 100 billion yuan by 2030, driven by the integration of AI technologies [34]. Group 7: Policy and Regulatory Environment - China is advancing the integration of AI and marketing through a multi-layered policy framework that includes strategic guidance, technological research, industry applications, and regulatory compliance [38]. - Recent policies emphasize the need for transparency and compliance in AI-generated content, ensuring that marketing practices align with legal standards [41]. Group 8: Global Competitive Landscape - Chinese marketing intelligence products have the opportunity to challenge established giants like Adobe and Salesforce by offering next-generation, AI-native automated infrastructure [45]. - The shift from "supply chain export" to "brand technology export" reflects a significant evolution in the global strategy of Chinese enterprises, focusing on AI marketing intelligence and autonomous technology platforms [46].

跨境出海丨市场观察 本周看点： -机器人出海困局有了解法：一年5000台设备如何管理？ -ESG规则重塑出海格局，中国企业要做好这关键几点； -从爆款到品牌，国货美妆的升维之战。 行业环境 1.机器人出海困局有了解法：一年5000台设备如何管理？ 概要：近年来，中国机器人企业纷纷转向品牌出海，以掌握定价权和利润。一家专注泳池清洁 和割草机器人的企业，在拓展美国亚马逊和独立站市场时，面临跨境电商管理的复杂性。传统 方式难以追踪设备流向，导致退货和售后问题频发。引入易仓ERP后，通过"一物一码"功能， 每台设备从生产到售后全程可追溯，解决了身份识别难题。头程管理也得到优化，箱唛自动流 转，减少人工错误。财务方面，系统与金蝶对接，实现库存数据同步，确保账务准确。该案例 表明，机器人行业需从早期构建全链路数字化管理，避免后期混乱。 2.ESG规则重塑出海格局，中国企业要做好这关键几点 关键词：全球ESG规则,企业出海,产业链布局,合规压力,供应链重构 概要：中国企业出海正从产品输出转向全球产业链布局，ESG要求成为关键竞争力。德勤指 出，企业需应对合规、税务及可持续发展等挑战，如新能源企业需规避贸易政策风险并优化供 ...

网络助贷行业 丨研究报告 核心摘要： 《2025年中国网络助贷行业研究报告》，以"特殊时期-历史使命-群体价值-未来趋势"为核心脉络，解析 行业发展逻辑。报告指出，数字经济推动下，2025年中国网民达11.2亿，信贷成居民日常，2024年不含房 狭义消费贷余额21.7万亿；互金助贷2024年规模3.5万亿，CR5达76%，以增信、分润为主要模式，风 控、资金获取与获客为核心能力。基于5285人调研，借新还旧与大额消费用户为行业深度客群，需求及信 息敏感度存差异。面对监管新规，24%以上业务利润或降3%-6%，平台需转向24%以下业务或拓展多元金 融服务，为行业合规化发展提供方向。 不可阻挡之势 数字的生产资料属性被夯实，科技无意间开启的社会迭代 根据国家互联网中心的统计数据， 2004 年中国网民总数不足 1 亿，但是截至 2025 年这一数字已经 上升到 11.2 亿。其中 2006 年到 2015 年这十年是网民增长速度最快的十年，也是数字经济在人们 尚未有所反应时，迅速重塑中国社会的十年。改变起始于用户获知信息的方式，深化于社会经济生 活的模式。 金融，作为链接各类型经济主体的线索，也在这场变革中悄然改 ...

快手新银发人群 丨洞察报告 核心摘要： 随着 45岁以上群体从2 020 年的 4.6亿增至2 023 年的 6.6亿，以"活力、价值、得劲"为核心特征的"新银发人群"已崛起成为消费市场的重要引擎。他们的需求也 推动我国银发经济从"基础养老"向"品质生活"加速跃迁。 在此背景下，艾瑞咨询联合快手磁力引擎发布《 2025快手新银发人群洞察报告》。洞察揭示，在政策、技术、经济的共同驱动下，随着该群体自我意识的深化，其 消费需求正从满足'可用'的基础层面向追求'心安'的品质层面升级。这一深刻变迁，与快手平台的内容与电商生态高度契合，从而充分激发了新银发人群的消费潜 力。 本白皮书通过对行业趋势、人群画像与生态优势的全面解构，深度聚焦快手主版超 1亿新银发人群，详细分析其群体特征与消费习惯；并结合典型商家案例，系统梳 理经营方法论，旨在为品牌及商家方提供一张把握新银发经济机遇、撬动未来增长的战略路线图。 新银发力量定义：活力绽放、价值彰显、"得劲"生活 新银发力量以45岁以上人群为核心，围绕"健康自护+兴趣自洽+价值自立"塑造全新消费新生态，展现出"活力、价值、'得劲'"的群体共性特征，打破 了传统银发群体刻板印象， ...

快手新银发人群丨洞察报告 核心摘要： 随着 45岁以上群体从2 020 年的 4.6亿增至2 023 年的 6.6亿，以"活力、价值、得劲"为核心特征的"新 银发人群"已崛起成为消费市场的重要引擎。他们的需求也推动我国银发经济从"基础养老"向"品质生活"加 速跃迁。 在此背景下，艾瑞咨询联合快手磁力引擎发布《 2025快手新银发人群洞察报告》。洞察揭示，在政策、技 术、经济的共同驱动下，随着该群体自我意识的深化，其消费需求正从满足'可用'的基础层面向追求'心 安'的品质层面升级。这一深刻变迁，与快手平台的内容与电商生态高度契合，从而充分激发了新银发人群 的消费潜力。 本白皮书通过对行业趋势、人群画像与生态优势的全面解构，深度聚焦快手主版超 1亿新银发人群，详细分 析其群体特征与消费习惯；并结合典型商家案例，系统梳理经营方法论，旨在为品牌及商家方提供一张把握 新银发经济机遇、撬动未来增长的战略路线图。 行业趋势： 新银发市场规模与潜力爆发，政策技术双轮驱动 45岁以上新银发人群规模占比攀升，人口红利持续释放 公开资料显示， 2023 年我国 45岁以上人口消费规模已超1 4万 亿，消费比例逐年提升。随着 "银发 ...

Core Insights - The global foldable smartphone market is experiencing continuous growth, particularly in China, driven by technological advancements and an improved supply chain, leading to product diversification [1] - China has emerged as a major growth engine for the global foldable smartphone market, with Huawei maintaining a significant market share and leading the industry [1][18] - User willingness to purchase foldable smartphones is increasing, with higher expectations for product functionality and experience [1] - The transition from niche to mainstream market for foldable smartphones is anticipated, with sustained demand growth and a focus on hardware optimization, software ecosystem development, and enhanced user interaction experiences [1] Market Overview - The global smartphone market has entered a phase of stock competition since 2017, with annual shipment volumes declining by approximately 2.52%, projected to reach 1.22 billion units by 2024 [2] - The flat smartphone market has become saturated, prompting manufacturers to innovate product forms to explore the high-end market [5] Competitive Landscape - The foldable smartphone industry chain includes upstream raw material supply, midstream design and manufacturing, and downstream sales [7] - Chinese foldable smartphone manufacturers, such as Huawei and Samsung, are leading the industry chain with strong technological capabilities and market influence [7][8] User Behavior and Preferences - The majority of foldable smartphone users are male and female, with a higher preference among first-tier and new first-tier city users [20] - Users with higher education levels, particularly those with a bachelor's degree or above, show a greater preference for foldable smartphones [20] - The price range for most users' foldable smartphones is between 5,000 to 9,000 yuan, with Huawei being the most used brand at 62.3% [22] Purchase Motivations - The key reason for purchasing foldable smartphones is the stronger sense of technology and futurism, accounting for 44.7% of users [24] - Users have a substantial budget for purchasing foldable smartphones, with 28.4% willing to spend between 8,000 to 10,000 yuan [24] Brand Recognition and Image - Huawei leads in brand recognition across various dimensions, including high-end perception, business style, technological innovation, and reputation [26][28] - Users express high satisfaction with Huawei products, indicating strong user recognition and loyalty [30] User Experience and Pain Points - Current user satisfaction is highest for Huawei, followed by Xiaomi and Samsung, with a notable willingness to recommend these brands [30][31] - Users report pain points related to hardware durability, such as screen wear and tear, and software issues like poor visual effects [39] Future Outlook - Over 90% of consumers are considering purchasing a foldable smartphone for their next device, focusing on reliability, battery life, and hardware specifications [41] - The foldable smartphone market is transitioning from a niche to a mainstream product, with 95.5% of consumers willing to switch to a foldable device in the future [47]

Core Insights - The article highlights the rapid development of artificial intelligence (AI) technology, with the number of registered personal users of large models in China exceeding 3.1 billion by July 2025, indicating a significant shift in user behavior towards AI search applications [2] - The competition among brands has evolved from "competing for rankings" to "competing for qualification as a source of answers," emphasizing the importance of building trust between brands and AI [2] Research Background - By 2025, AI products are expected to have a growing user base and influence, with a transformation in search paradigms from traditional search engines to AI-driven direct questioning and answer retrieval [2] - The optimization of generative engines based on AI large models (GEO optimization) is identified as a key competitive factor for businesses [2] Research Objectives - The iResearch Institute plans to release the "2026 China GEO Industry Research Report" in February 2026, aiming to outline the industry background, core technologies, and practical experiences of key players in GEO optimization [3] - The report will serve as a decision-making reference for GEO service providers, advertising agencies, advertisers, and investment institutions [3] Research Content - The report will define GEO, trace its historical development, and identify core technologies and competitive advantages in GEO marketing [4] - It will analyze GEO optimization technology solutions across different scenarios and industries, focusing on AI search, intelligent recommendations, and localized strategies [4] - Future trends in GEO will be assessed to provide strategic insights for industry stakeholders [4] Participation Value - Companies participating in the GEO industry report will have the opportunity to be featured in the iResearch "2026 China GEO Industry Research Report," enhancing their brand influence and industry recognition [6] - The report will be disseminated through iResearch's official platforms and various media channels [6] Target Participants - The initiative seeks companies involved in GEO optimization research, application, or services, particularly those with over two years of experience and multiple practical case studies [9] - Target sectors include e-commerce, consumer brands, and local services [9] Submission Timeline - The call for participants is open from now until January 20, 2026, inviting relevant companies in the GEO industry to engage in discussions [10]

Core Insights - By 2025, the global focus of technological competition has shifted to language models, marking a transition from a "Spring and Autumn" period of "hundred models war" to a "Warring States" era where major companies prioritize "value realization" over mere parameter scale competition [1] - Language models are reshaping the underlying logic of the digital economy, with tech giants investing billions in R&D to transform these models from novelty tools into essential national-level utilities [1] Industry Overview - The AI industry is experiencing rapid expansion and deep technological iteration, driven by language models as the core engine [2] - Key trends include multi-modal integration, embodiment intelligence, and the practical application of intelligent agents, with language models serving as the indispensable "central nervous system" [2] Language Model Sub-industry - The language model sub-industry is generally positive but faces three core pain points in consumer applications: insufficient practicality, fragmented scenarios, and cost-ecosystem imbalance [3] - The recent launch of Alibaba's Qianwen APP has seen significant success, with over 10 million downloads within a week of public testing and monthly active users exceeding 30 million within 23 days [4] Qianwen APP's Strategic Approach - Qianwen APP's rise is attributed to its strategic adjustment addressing industry pain points through a "technology + scenario + ecosystem" framework, validating Alibaba's "user-first, AI-driven" strategy [6] - The app leverages Alibaba's Qwen series models, which are competitive with leading closed-source models, enhancing its capabilities in logical reasoning and long-text processing [6][8] Future Development Trends - The language model industry is expected to enter a new development cycle characterized by technological integration, ecological symbiosis, and value orientation [9] - Future models will focus on deep multi-modal integration and vertical precision, with open-source models driving innovation and reducing costs for small and medium enterprises [9] Conclusion - The language model industry is at a critical juncture, transitioning from technological explosion to industrial prosperity, with Qianwen representing a significant breakthrough in both domestic and global markets [10]

Core Viewpoint - The article emphasizes the transformative impact of generative AI on the internet media industry, highlighting its role in enhancing content production, distribution, and consumption processes, while also addressing the challenges and opportunities presented by this technological shift [1][2][3]. Group 1: Industry Overview - The Chinese internet media industry is transitioning into an AI-enabled intelligent ecosystem, with user growth slowing and competition shifting towards existing market players [2][6]. - Generative AI is accelerating the integration of multimodal applications, reshaping content ecosystems and user experiences, driving the industry towards quality and efficiency [2][4]. Group 2: Deep Empowerment - AI technology is deeply empowering the internet media industry, promoting intelligent transformation across the entire value chain, from production to consumption [2][24]. - Major media and social platforms in China, such as People's Daily and Weibo, are actively applying AI technologies to enhance content creation, review, and distribution processes [2][36][38]. Group 3: Challenges and Opportunities - The internet media industry faces challenges such as content authenticity issues, high technical costs, and privacy risks, which are exacerbated by the rise of generative AI [3][46][51][54]. - Opportunities include the need for media platforms to develop proprietary technologies and data governance strategies, while content creators focus on cultural depth and emotional resonance to establish competitive barriers [3][46]. Group 4: Technological Evolution - The evolution of AI technology has progressed from symbolic logic to data-driven approaches, culminating in the current era of generative AI applications [9][10]. - Large language models (LLMs) have reached a high level of maturity, enabling advanced text generation capabilities and multimodal understanding [11][13]. Group 5: Application of Generative AI - Generative AI applications are rapidly proliferating across various fields, with text generation technologies entering a commercial maturity phase and image generation technologies being applied in art and product design [16][40]. - The integration of generative AI into media platforms enhances content distribution efficiency, user experience, and opens new commercial possibilities [28][31]. Group 6: Case Studies - People's Daily has utilized generative AI to enhance video content creation and streamline the media production process [36]. - The Paper has established AI studios to optimize content production and implement a comprehensive content risk control platform [38][39]. - Douyin (TikTok) has embedded AIGC technology throughout its content lifecycle, creating a robust ecosystem for content creation and monetization [40]. - Weibo has developed its own multimodal model to support a full-chain AI service system, enhancing content production, distribution, and consumption [42][44].