工信部助力 工业互联网再迎利好

Core Insights - The Ministry of Industry and Information Technology (MIIT) released the "Action Plan for Promoting High-Quality Development of Industrial Internet Platforms (2026-2028)", aiming for significant advancements in industrial internet platforms by 2028, including over 450 influential platforms and a device connection count exceeding 120 million [1][2] - The core industry scale of China's industrial internet is projected to exceed 1.6 trillion yuan by 2025, contributing approximately 2.5 trillion yuan to industrial added value [1] Group 1: Development Goals - By 2028, the industrial internet platform ecosystem is expected to achieve a penetration rate of over 55%, with a focus on ubiquitous connectivity, intelligent integration, deep collaboration, and open-source development [1] - Currently, industrial internet applications cover all 41 major industrial categories, with key platforms connecting over 100 million devices [1] Group 2: Platform Differentiation - The plan emphasizes differentiated development of platforms, prioritizing the growth of specialized platforms, nurturing industry-specific platforms, and accelerating the promotion of collaborative platforms [2][3] - Specialized platforms focus on enhancing capabilities in areas like simulation and operation, requiring long-term investment in technology and service quality [2] - Industry-specific platforms are crucial for driving industrial transformation, necessitating policy support for their complex and lengthy development cycles [3] Group 3: Artificial Intelligence Integration - The plan highlights the importance of integrating artificial intelligence (AI) with industrial internet platforms, marking a shift from connection-driven to intelligence-driven industrial digital transformation [4][5] - AI companies are expected to transition from being mere technology providers to co-creators of industrial value, requiring a deep understanding of industrial processes and the development of tailored AI solutions [5][6] - The deployment of AI will shift from cloud-based inference to real-time intelligence at the edge, necessitating collaboration with industrial control systems for low-latency, high-reliability applications [6]