Big Data Research ›› 2021, Vol. 7 ›› Issue (6): 89-102.doi: 10.11959/j.issn.2096-0271.2021063

• STUDY • Previous Articles     Next Articles

A review and comparative analysis of domestic and foreign research on big data pricing methods

Nan LIU1, Xuejing HAO1, Yuhong CHEN2   

  1. 1 School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China
    2 Chongqing Rail Transit(Group) Co., Ltd., Chongqing 401120, China
  • Online:2021-11-15 Published:2021-11-01
  • Supported by:
    Humanities and Social Science Research Projects of The Ministry of Education of China(20XJAZH007);National College Students’ Innovation and Entrepreneurship Training Program(202110618006)


Due to the value characteristics of big data itself, the problem of data pricing is complicated.Although researchers have conducted a lot of research on this, most of them have a single angle and lack a certain practical application.In view of this, the big data pricing methods were reviewed, five types of pricing were sorted out: cost-oriented, market-oriented, demand-oriented, profit-oriented, and life-cycle-based pricing.The advantages and disadvantages of the six mainstream pricing methods were compared: cost method, agreement pricing, market method, income method, quality-based and query-based pricing.Finally, through the analysis of the big data pricing process, the characteristics of the different pricing methods were further revealed, and the data pricing direction was forecasted.The article aims to provide some reference for future related research.

Key words: big data product, big data asset, data pricing, pricing model, pricing strategy

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