2024年中国行业大模型市场报告

Industry Overview - Industry large models are defined as models built on a general large model technology base, incorporating industry-specific data and knowledge to achieve higher accuracy and practicality in professional fields [2] - The market size of China's industry large models reached 10.5 billion yuan in 2023, and is expected to grow to 16.5 billion yuan in 2024, with a year-on-year growth of 57% [5] - The industry large model market is projected to reach 62.4 billion yuan by 2028, with a compound annual growth rate (CAGR) of 40% from 2023 to 2028 [5] - Industry large models are being rapidly adopted in sectors such as industrial, government, and finance, driving automation and intelligent development [5] Market Segmentation - The report provides detailed analysis of various industry segments including finance, government, telecommunications, education, and industrial sectors [23] - Key participants and market analysis are provided for each segment, along with application scenarios and core value propositions [23] - The automotive, meteorological, medical, and pharmaceutical sectors are also analyzed, with a focus on market participants, market analysis, and core value [26] Commercialization and Deployment - The commercialization path of industry large models is diverse, with enterprises choosing appropriate business models based on market demand and their capabilities [9] - API open platform models make large model technology more accessible to small and medium-sized enterprises, promoting the widespread application and development of AI technology [9] - Deployment strategies include MaaS (Model as a Service), private deployment, and integration with existing products, catering to different industry needs and data security requirements [6][9] Development Challenges - Key challenges in the deployment of industry large models include understanding industry-specific knowledge, balancing cost-effectiveness, and optimizing algorithms and data quality [13] - High development and deployment costs, along with the need for specialized AI talent, are significant barriers to the widespread adoption of industry large models [15] - Technical challenges include the high computational costs of training and running large models, as well as the need for algorithm optimization and data quality assurance [16] Future Trends - The development trend of industry large models in China focuses on technological advancements and broad application potential, including increased model scale, multimodal integration, and the rise of self-supervised learning [17] - There is a growing emphasis on the explainability and fairness of AI models, as well as the optimization of deployment strategies and efficiency [20][21] - Customization and adaptation of models to specific industry needs are becoming increasingly important, providing competitive advantages and market share for enterprises [22]