智慧园区2030报告（2024版）

Investment Rating - The report does not explicitly state an investment rating for the intelligent campus industry Core Insights - The intelligent campus is defined as an all-intelligent, people-centric, green, and low-carbon self-evolving system that integrates physical, digital, and human spaces [113] - The report emphasizes the importance of digital transformation and the integration of advanced technologies such as AI, IoT, and big data in shaping the future of campuses [40][33] - The vision for intelligent campuses includes achieving zero-carbon status and promoting sustainable development through innovative energy management and green technologies [95][96] Summary by Sections Trends and Visions - The digital economy is driving the transformation of campuses, with projections indicating that by 2030, the digital economy will account for 30% of GDP [52] - Intelligent campuses will be characterized by being digital, converged, people-centric, resilient, and green [56] - The infrastructure of future campuses will feature 10 Gbps connections and digital platforms to support intelligent connectivity [57][58] Development Trends - Intelligent buildings will evolve to become core elements of campuses, enabling real-time connections and personalized services [61][62] - Data-based governance will become mainstream, enhancing campus management and operational efficiency [65][68] - Virtual-real fusion will integrate physical and digital experiences, creating new service scenarios [70][71] Scenarios - The report outlines ten typical scenarios for future intelligent campuses, including holographic AIOC, digital health services, and smart energy management [44] Key Technical Features - Six key technical features are proposed for future intelligent campuses: intelligent twins, spatial interaction, ubiquitous intelligent connectivity, intent-driven ultra-broadband, security and resilience, and all-domain zero carbon [33][24] Vision - The intelligent campus vision aims to create a sustainable and livable society by integrating connectivity and computing technologies [12][11] - The report highlights the need for ethical AI practices and cross-institutional data connections to foster collaborative innovation [13][14]