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2025年中国营销智能体研究报告
艾瑞咨询·2025-10-30 00:06

Core Insights - The article emphasizes the rapid evolution of marketing intelligence agents, which are transforming from auxiliary tools to autonomous decision-making systems in marketing. This shift is driven by advancements in AI technology and the increasing demand for automated marketing solutions [1][4][11]. Group 1: Market Trends and Global Dynamics - Three major changes are identified: 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 undergoing a profound transformation, evolving from data analysis tools 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 enterprises face significant challenges when expanding overseas, including cultural differences, complex channels, privacy and compliance issues, and cross-border payment difficulties [6]. - The demand for overseas marketing has surged in the past five years, particularly in cross-border e-commerce and mobile gaming, but these challenges remain critical obstacles [6]. Group 3: Opportunities Presented by Marketing Intelligence Agents - Marketing intelligence agents provide crucial support for Chinese enterprises in overseas marketing by assisting in material production, compliance checks, and localized operations [8]. - The rapid iteration of open-source large language models offers unprecedented advantages for Chinese companies, enabling them to generate advertising content that aligns 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, effectively assisting or replacing human marketing efforts [9]. - The core capabilities of these agents include market insights, content generation, deployment optimization, and evaluation report generation, facilitating full-link automated marketing and continuous optimization [15]. Group 5: Future Technology Trends - The collaboration of multiple intelligence agents can form a closed-loop system, combining creative, deployment, and analytical agents to achieve a cycle of creative generation, advertising deployment, data feedback, and strategy adjustment without human intervention [17]. - The integration of large models enhances the capabilities of these agents, addressing language barriers and cultural differences in cross-border marketing [17]. Group 6: Market Size and Forecast - The market for intelligent marketing agents in China is expected to continue growing, with projections indicating it could exceed 100 billion yuan by 2030, driven by the integration of AI technologies and the digital transformation of the advertising industry [34]. - The digital economy in China is experiencing rapid growth, with a digital economy scale reaching 53.9 trillion yuan in 2023, significantly outpacing GDP growth [36]. Group 7: Policy Framework - China has established a multi-layered policy framework to support the integration of AI and marketing, encompassing strategic guidance, technological research, industry applications, and regulatory compliance [38][41]. - Recent policies emphasize the need for transparency and compliance in AI-generated content, ensuring that marketing practices align with legal and ethical standards [41]. Group 8: Global Competitive Landscape - Chinese marketing intelligence products have the opportunity to challenge existing giants like Adobe and Salesforce by offering next-generation, AI-native automated infrastructure, leveraging unique business and talent structures [45]. - The evolution of marketing intelligence agents reflects a shift from traditional software models to more collaborative and integrated approaches, enhancing the overall effectiveness of marketing strategies [42].