Xin Hua Wang·2025-08-12 05:47Core Insights - The demand for high-quality AI training data has surged due to the rise of large models, leading to increased costs for data service providers [1][2] - The market for AI pre-training data services is projected to reach 16 billion yuan by 2027, with a compound annual growth rate of 28.9% over five years [2] - Companies are facing pressure on their financial performance as they invest heavily in large model development, raising concerns about the return on investment [7][8] Group 1: Opportunities - The explosion of large models has created a significant demand for high-quality data across various industries, prompting AI data service companies to secure partnerships with large model developers and research institutions [2][3] - Major AI data service companies in China have announced collaborations with large model firms, indicating a robust market for high-quality data sets [3] - The need for diverse and complex data requirements has increased, as clients seek advanced capabilities from large models [3] Group 2: Costs - The costs associated with data services have risen significantly due to the need for enhanced computational power and skilled labor [4][5] - Data service providers are now required to invest in more powerful hardware and hire highly educated personnel, which has led to increased operational costs [5][6] - The shift from low-cost labor to a more skilled workforce for data annotation has further escalated costs, with companies now seeking university graduates or higher [5][6] Group 3: Challenges - Despite the enthusiasm for large models, AI data service companies are experiencing financial strain, as reflected in their quarterly reports [7][8] - Regulatory scrutiny has increased, with companies receiving inquiries about the necessity of their fundraising efforts for large model projects [7][8] - The current market for large models is still in its infancy, and the full potential for data demand has yet to be realized, leading to uncertainty about future revenue [8][9] Group 4: Industry Outlook - The data industry is viewed as a long-term investment, with companies encouraged to be patient as they build capabilities and market presence [9][10] - The emergence of large models is seen as a positive development for the data industry, with expectations for rapid growth in pre-training data demand as applications become more widespread [10]