中国大数据产业产值测算方法研究

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

大数据产业发展当前仍然面临产业边界不够清晰、企业界定不够明确、产值测算方法不够统一等产业发展问题和痛点,在遵循现阶段我国大数据产业发展客观实际的基础上,将大数据产业链划分为数据资源层、基础硬件层、通用软件层、行业应用层、安全保障层5个层级,并对大数据企业概念进行界定。通过获取相关层级各细分领域骨干企业市场营收占比、细分领域骨干企业大数据营收占主营业务收入比均值,折算细分领域大数据产业产值。最终运用加总法测算出2016—2021年我国大数据产业产值为44908亿元,并预判“十四五”时期,我国大数据产业年均复合增长率约为25%,即到2025年我国大数据产业营收预计突破3万亿元。

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.