Big Data Research ›› 2022, Vol. 8 ›› Issue (3): 151-160.doi: 10.11959/j.issn.2096-0271.2022024

• FORUM • Previous Articles     Next Articles

Research on calculation method of China’s big data industry output value

Mei YANG, Wei LI, Siyuan QIAO, Wei LIU   

  1. China Industrial Control Systems Cyber Emergency Response Team, Beijing 100040, China
  • Online:2022-05-15 Published:2022-05-01

Abstract:

At present, problems of big data industry, such as unclear industrial boundaries, unclear enterprise definitionand inconsistent production value measurement methods, still exist.At this stage, under the objective reality of China’s big data industry development, the big data industry chain was divided into five aspects: data resource layer, basic hardware layer, general software layer, industry application layer and security ensure layer.A clear definitionof big data enterprise was given.By obtaining the market revenue proportion of backbone enterprises in each segment of the relevant level and the big data revenue proportion of backbone enterprises in the segment of the main business income, the output value of big data in the segment was converted, by using the summation method.The output value of big data in China from 2016 to 2021 was estimated to be 4.4908 trillion yuan, and the annual compound growth rate of China’s big data industry will be about 25% during “the 14th Five-Year Plan” period.That is to say, the revenue of China’s big data industry is expected to exceed 3 trillion yuan by 2025.

Key words: big data industry, output value calculation, summation method

CLC Number: 

No Suggested Reading articles found!