Core Insights - The article discusses the rapid evolution of superintelligent agents, which are AI systems that surpass human capabilities in various fields, including scientific innovation and social decision-making. These agents are becoming a core driver of transformation across global industries as technology advances [1][4][17]. Industry Definition and Characteristics - Intelligent agents (AI Agents) are computer systems capable of autonomous action, environmental perception, decision-making, and interaction, primarily relying on large language models. Superintelligent agents (Superintelligent Agents) are defined as systems that exceed human capabilities across nearly all domains [2][4]. Current Industry Development - The superintelligent agent market is expected to reach approximately 36.32 billion yuan in 2024, an increase of 11.50 billion yuan from 2023. By 2025, the global market is projected to grow to 53.71 billion yuan [4][6]. Industry Chain - The superintelligent agent industry chain includes upstream components such as AI chips, intelligent computing centers, data collection/annotation/synthesis, large model bases, and open-source frameworks. The midstream consists of the agents themselves, while downstream applications span various sectors, including enterprise automation, smart manufacturing, customer service, and smart cities [8][10]. Development Environment and Policies - The Chinese government has prioritized technological innovation, implementing policies to support the development of superintelligent agents. Local governments in cities like Beijing, Shanghai, and Shenzhen have introduced initiatives to foster AI growth [10][12]. Competitive Landscape - The Chinese superintelligent agent industry is characterized by a competitive landscape dominated by major players such as Huawei, Baidu, Alibaba, and Tencent, alongside emerging companies focusing on niche markets [15][16]. Future Trends - The superintelligent agent sector is anticipated to enter a new technological innovation cycle by 2025, with a dual development focus on "technology generalization and commercial verticalization," emphasizing deep engagement in specific scenarios and ecosystem collaboration [17].