Core Insights - The financial large model is defined as the vertical development and application of AI large models in the financial sector, supported by data, algorithms, and computing power, which are considered the "three pillars" of artificial intelligence [1][2][3] - The Chinese financial large model industry is experiencing rapid growth, with a projected market size of 2.866 billion yuan in 2024, representing a year-on-year increase of 79.9% [1][13] - The demand for cost reduction and efficiency improvement in financial institutions is driving the rapid deployment of large models in areas such as intelligent investment research, risk control, and customer service [1][13] - Standardized products dominate the market, accounting for 71% of the financial large model market share in 2024, while non-standardized products hold 29% [1][15] - Major players in the market include Alibaba Cloud, Baidu Intelligent Cloud, and SenseTime, with market shares of 33.2%, 19.3%, and 10.9% respectively [1][19] Industry Overview - The financial large model industry is supported by favorable policies that encourage digital transformation and the use of technologies such as cloud computing, big data, and artificial intelligence [5][8] - The digital transformation of the financial industry is progressing steadily, with increasing investments in financial technology by institutions [8][9] - The AI large model has become a crucial component of new productive forces, with significant investments in R&D and application within the financial sector [11] Market Dynamics - The financial large model market is characterized by a rapid increase in demand for intelligent applications, driven by the need for compliance and efficiency in a highly regulated industry [9][19] - The market for financial technology is projected to reach 394.96 billion yuan in 2024, with banking technology, securities technology, and insurance technology accounting for 288.83 billion yuan, 47.46 billion yuan, and 58.67 billion yuan respectively [9] Development Trends - The foundational technical capabilities of large models are expected to significantly enhance, allowing for a deeper understanding of financial business [23] - The introduction of new technologies is anticipated to further reduce the deployment costs of large models, transforming them from "luxuries" to "industrial-grade infrastructure" [24] - The development of intelligent agent technology is accelerating, promoting the integration of large models with financial business processes [25]