[目的/意义] 为研究大数据应用领域文献发展的趋势和现状，并揭示其发展规律，[方法/过程] 本研究制定大数据应用技术的数据检索策略，选取1990-2015年相关文献研究数据，借助了计量软件VP（Vantage Point）、统计分析软件SPSS、和Microsoft Excel等工具，分别从载文量分布、期刊分布和作者分布三个层面，首次验证并分析了该领域文献发展是否符合普赖斯科学文献增长规律、布拉德福定律以及洛特卡定律。结果显示：1.大数据应用领域相关论文自1990年开始算起，经过一段时间的稳步发展后，直至2012年开始显现突飞猛进的发展，且其文献发展符合普赖斯科学文献增长规律；2.本研究文献样本的期刊分布基本符合布拉德福定律，并已形成核心期刊群，其中包括BMC BIOINFORMATICS、SENSORS等；3.从著者分布情况来看，该领域著者分布与洛特卡定律相差很大，尚未形成较具影响力的核心著者群。

[Purpose/Significance] To study the trend over the past and the present situation of big data application, and indicate the development regulation and trend in the future,. [Method/Process] the paper analyzes literature year distribution, journal distribution and author distribution of big data application field, and the first to verify whether or not its development corresponds to the three fundamental bibliometric laws, though there are lots of factors that had not been taken into consideration. [Result/Conclusion] Results shows that: 1. Starting in 1990, literatures related to big data application field went through a period of stable development, and appears to develop rapidly from 2012, whose development corresponds to Price law of scientific literature growth. 2. Development of the literature sample in the study is in line with Bradford's law, and formed a group of Core journals, including Bmc bioinformatics, Sensors, Big data and so on. 3. In the view of the author distribution, distribution in this filed is far different from that in Lotka's law, and there’s no doubt that it has not yet formed Core author group.