政务智能体发展研究报告(2025年)

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The development of government intelligent agents is driven by advancements in supply-side large models, increasing demand for government governance and public service, and top-level policy design for artificial intelligence [6][15][20] - Government intelligent agents are defined as AI systems embedded in government governance and public service that can autonomously perceive the environment, make independent decisions, and execute tasks [7][25] - The report emphasizes the transformative potential of government intelligent agents in reshaping governance models, enhancing service efficiency, and building collaborative ecosystems [8][57] Summary by Sections 1. Background and Definition of Government Intelligent Agents - The development of government intelligent agents is a result of the interplay between technological advancements, evolving governance needs, and supportive policies [15] - Government intelligent agents are characterized by their ability to autonomously perceive, decide, and execute tasks within the public service framework [22][25] 2. Technical Elements and Construction Framework - The report outlines the key technologies supporting government intelligent agents, including large language models and knowledge graphs, which form the basis for their understanding, planning, execution, and governance capabilities [30][31] - A "six horizontal and two vertical" architecture is proposed, encompassing infrastructure, data knowledge, intelligent capabilities, and application scenarios [38][39] 3. Application Status and Transformative Value - Government intelligent agents are transitioning from concept validation to large-scale application, with significant potential to enhance governance and service delivery [7][57] - The report highlights that the government sector is expected to account for 14% of all intelligent agent applications by 2024, indicating a strong growth trajectory [58] 4. Challenges and Issues - The report identifies challenges related to the reliability, feasibility, and controllability of government intelligent agents, including technological immaturity and adaptation barriers [8][30] 5. Development Recommendations and Outlook - Recommendations include strengthening top-level design, upgrading technological cores, enhancing scenario innovation, and fostering collaborative ecosystems [8][57]