大数据产业相关市场界定的困境与出路

相关市场的界定是反垄断执法的首要前提，也是反垄断法司法适用的重要基础性工作。传统的相关市场分析方法主要是定量的SSNIP分析和定性的产品替代分析，它们主要基于传统的实体行业而设计。在大数据产业中，由于大数据产品、服务具有双边市场、“免费”模式、用户锁定效应和网络外部性等特征，用传统方法界定相关市场存在诸多弊端，应该结合大数据产品和服务的特征，改进传统SSNIP分析法路径，并综合借鉴SSNIC分析法、盈利模式测试法和产品性能测试法等，方能对大数据产业相关市场作出准确、科学、合理界定。

The Predicament and Outlet of the Market Definition of Big Data Industry

The definition of the relevant market is the primary premise of anti-monopoly law enforcement, and it is also an important basic work for the judicial application of the anti-monopoly law. The traditional related market analysis methods are mainly quantitative SSNIP analysis and qualitative product substitution analysis. They are designed mainly based on the traditional physical industry. In the big data industry, due to the characteristics of big data products and services, bilateral markets, free mode, user lock-in effects, and network externalities, there are many drawbacks in defining the relevant markets using traditional methods. The characteristics of big data products and services should be combined to improve the path of the traditional SSNIP analysis method. Comprehensively drawing on the SSNIC analysis method, profit model test method, product performance test method, etc, we can make accurate, scientific and reasonabe definition of the relevant market in the big data industry.