With the rapid development of big data technology, the financial industry has begun to use a data-driven approach to evaluate the market. This study uses big data analysis technology to discuss the key indicators, evaluation methods and optimization strategies of financial institutions market evaluation. It focuses on big data collection and quality control, big data cleaning and data preprocessing methods, makes choices between various algorithms on how to build prediction models for the market, and compares the application effectiveness of big data platforms and tools. In addition, an evaluation route based on risk management, strategic flexibility and continuous monitoring is proposed to implement dynamic update of market evaluation, so as to provide financial institutions with high accuracy and efficient market evaluation strategies.

Chuhan Wang. Research on Market Evaluation Strategies for Financial Institutions Based on Big Data Analysis. Socio-Economic Statistics Research (2025), Vol. 6, Issue 2: 153-160. https://doi.org/10.38007/SESR.2025.060216.

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