Investment Rating - The report indicates a strong growth potential for the AI corpus market in China, with an expected market size of 10.9 billion yuan by 2025, reflecting a compound annual growth rate (CAGR) of over 25% from 2023 [6]. Core Insights - The AI corpus market in China is undergoing a critical transformation from scale expansion to quality improvement, driven by policy, technology, and demand [6]. - There is a structural shortage of high-quality Chinese corpus data, with less than 0.1% of training data for international mainstream models being in Chinese, compared to over 90% for English [6]. - A top-down reform is underway, supported by government policies and initiatives aimed at promoting high-quality data set development and resource sharing [6]. - The competition in the Chinese corpus market is shifting from quantity to value, with multi-modal integration expected to drive the evolution of corpus forms [6]. Summary by Sections Section 1: Definition and Importance of Corpus Data - Corpus data is defined as text or speech data used for developing and training AI systems, with images and videos also considered in a broader context [17]. - High-quality corpus is crucial for building large models, enhancing model accuracy, stability, and robustness [17]. Section 2: Challenges in the Chinese AI Corpus Market - The market faces significant challenges, including data fragmentation, uneven regional development, and hardware limitations due to export controls [24]. - There is a lack of willingness among some companies with quality corpus to share their data, hindering the formation of a robust corpus ecosystem [24]. Section 3: Corpus Supply and Processing - Corpus suppliers are essential for AI model training, providing diverse data sources from various industries [31]. - Corpus processing entities focus on collecting, organizing, annotating, and optimizing corpus to ensure its accuracy and usability [34]. Section 4: Future Directions and Platform Development - The report emphasizes the need for a comprehensive corpus platform that integrates various data types and supports AI development [49]. - The platform should focus on public service and resource investment to support large-scale corpus aggregation and governance [49].