With the development of the jewelry industry, the requirements for jewelry evaluation in the market are getting higher and higher. The development of jewelry evaluation in our country has just started, and there are still a large number of legal, theoretical, and technical flaws. Therefore, it is necessary to improve the evaluation theory to promote the development of the jewelry evaluation market. Therefore, this article proposes a research on the application of jewelry evaluation and analysis based on big data, aiming to highlight the combination of big data and innovative methods of jewelry evaluation, making jewelry evaluation more scientific and maneuverable. This article first uses the literature method to study the traditional jewelry evaluation methods, including cost method, market method and expert evaluation method, and then proposes a jewelry evaluation method based on big data. Then design the jewelry evaluation experiment and jewelry evaluation process, and finally analyze and research the jewelry evaluation standards, jewelry evaluation factors, and the purpose of jewelry evaluation applications. It can be seen from the conclusion that the top three factors affecting jewelry evaluation are authenticity, the age of manufacture, and the level of craftsmanship of manufacture, accounting for 100%, 38%, and 36% respectively; the purpose of jewelry evaluation is mainly to carry out Resale or auction, accounting for 45%.