2025年金融大模型采购额暴增527%，AI竞速态势加剧

Core Insights - The introduction of the AI model DeepSeek by Deep Exploration Company in early 2025 has sparked a significant application boom in the financial industry, marking a transformative technological force comparable to the mobile internet [1] - The banking sector is leading the procurement of large models, with a notable increase in project numbers and funding, indicating a shift in focus from computational power to application effectiveness [3][5] Group 1: Market Trends - In 2025, the financial industry saw a dramatic increase in large model procurement, with 587 projects awarded, representing a 341% year-on-year increase in project numbers and a 527% increase in disclosed funding to 1.506 billion yuan [3][5] - The banking sector accounted for nearly half of the total projects with 290 projects, and 75.2% of the total funding, establishing a dominant position in the market [5][6] Group 2: Project Distribution - The distribution of project types in the financial sector for large models in 2025 shows that banking projects comprised 49.4% of the total, with disclosed funding of 1.13221 billion yuan [6] - The focus is shifting from computational power projects to application projects, with application-type projects (including intelligent agents) rapidly increasing in number and becoming the primary procurement direction [7] Group 3: Driving Forces - Multiple factors are driving the banking sector's embrace of large models, including supportive government policies aimed at accelerating the intelligent transformation of the financial industry [8] - The maturity of technology has reached a turning point in 2025, with significant improvements in the accuracy, reliability, and practicality of large models, particularly with the rise of open-source models like DeepSeek [8][9] Group 4: Competitive Landscape - The competitive pressure in the banking sector, characterized by narrowing interest margins and intensified competition, necessitates new tools for efficiency and differentiation, with AI applications potentially reducing costs by up to 70% in certain categories [9] - Customer expectations for financial services are rising, demanding quicker responses and more personalized experiences, which traditional technologies struggle to meet [9] Group 5: Application Scenarios - Specific application scenarios in the financial sector are becoming concentrated, with intelligent customer service and digital personnel leading the number of awarded projects [10] - The focus on intelligent agents is increasing, with 49 projects explicitly mentioning "intelligent agents," indicating a growing interest in embedding AI capabilities into specific applications [11] Group 6: Future Outlook - As the application of large models deepens, the procurement of application-type projects is expected to grow, with banks likely to develop their own intelligent agents based on clear scenarios and engineering capabilities [11][12] - The financial industry is seen as a data and service-intensive sector, with significant potential for further exploration and application of large models [12]