Core Insights - The report highlights the growth potential of the intelligent computing machine (ICM) industry in China, driven by the integration of high-performance AI chips, server hardware, and algorithm frameworks, which significantly lowers the barriers to using computing power for AI model training and inference [1][9] - The global AI market is projected to reach $36,885 billion by 2025, with continuous growth in China's cloud computing and server shipments, supported by policies such as the "Interim Measures for the Management of Generative AI Services" [1][36] - DeepSeek's open-source large model, with training costs only 5% of GPT-4, accelerates the adoption of ICMs, creating a closed-loop of "model + computing power + scenario" that meets the data security and localization needs of various industries [1][9] Industry Overview - The ICM industry is transitioning from a "cloud-first" approach to "edge collaboration," driven by the demand for distributed computing nodes and the need for data security and real-time processing [2][9] - The industry chain includes upstream hardware suppliers (chips, storage), midstream solution providers (e.g., Huawei, Tianrongxin, Xinhua San), and downstream applications in government, finance, and healthcare [2][9] - The report indicates that ICMs are becoming core devices in distributed nodes, despite challenges such as insufficient technology maturity and high initial investment [2][9] Market Drivers - The AI market's growth is a fundamental driver for the ICM industry, with significant increases in both the global AI market and AI chip market expected by 2025 [36][37] - The demand for data security and compliance in sensitive industries is creating a blue ocean market for ICMs, as enterprises seek localized solutions to avoid data leakage [9][36] Applications and Case Studies - ICMs are being applied in various sectors, including government (e.g., Beijing, Shanghai, Shenzhen using DeepSeek for efficiency), healthcare (e.g., Harbin Medical University optimizing diagnosis processes), and finance (e.g., Zhongke Keke collaborating with multiple vendors to launch industry-specific ICMs) [2][9] - The report emphasizes the role of ICMs in enhancing operational efficiency and data security across these sectors [2][9] Future Outlook - The report anticipates that as edge AI and hybrid computing models become more prevalent, ICMs will achieve deeper applications in vertical industries, promoting the democratization of AI computing power and the intelligent transformation of industries [2][9]