What are the future prospects for the development of big data?

From the point of view of China's data production and stock, Guangdong, Beijing, Zhejiang, Jiangsu, Shanghai, and other regions are richer in data resources, and the eastern region's data production and stock is higher than the western region. From the point of view of inter-provincial data traffic, the eastern region's monthly average total Internet inter-provincial export traffic accounted for more than half of the country.

In the context of the rich data resources in the eastern region represented by the north and Shanghai, the level of development of its big data industry is faster than that of other regional provinces. Among them, the number of big data enterprises in the north accounts for nearly 70% of the national share, and Guangdong and Beijing have a higher level of big data development.

Eastern region's data production is overall higher than that of the west, and inter-provincial data traffic is much higher than that of other regions

In 2019, the total scale of China's data production was 3.9 ZB. In terms of the regional distribution of data production, the top ten provinces in the country's data production in 2019 were Guangdong, Beijing, Zhejiang, Jiangsu, Shanghai, Shandong , Sichuan, Henan, Hebei and Hunan.

From the point of view of per capita data production, the top ten provinces in terms of per capita data production in 2019 are Beijing, Shanghai, Zhejiang, Tianjin, Guangdong, Inner Mongolia, Tibet, Hainan, Jiangsu and Liaoning. Overall, data production and per capita data production in the eastern region are higher than those in the western region.

In 2019, the average value of China's monthly average Internet interprovincial export traffic by province was 3EB. among them, the top ten provinces were Jiangsu, Shandong, Guangdong, Zhejiang, Hebei, Henan, Shanghai, Hubei, Hunan and Fujian. The monthly average Internet inter-provincial export traffic in the eastern region totaled 49.9EB, accounting for 53.7% of the country, far exceeding other regions.

Large data inventory in the eastern region, smaller data inventory in the western and northwestern regions

As of the end of 2019, China's total data inventory was about 332 EB.In terms of regional distribution of data storage, the top 10 provinces in terms of national data inventory as of the end of 2019 were Guangdong, Beijing, Jiangsu, Shandong, Zhejiang, Sichuan, Henan, Shanghai, Hebei and Hubei. In terms of data storage density, China's overall data density as of the end of 2019 was 0.035 PB/square kilometer, with the top ten provinces being Shanghai, Beijing, Tianjin, Guangdong, Jiangsu, Zhejiang, Shandong, Henan, Chongqing and Hebei.

Overall, the regional distribution of China's data stock is consistent with the output, mainly concentrated in some provinces in the eastern and central regions, with less data stock in the western and northwestern regions.

Beijing and Shanghai are leading in the number of big data enterprises, and the difference in the level of big data development among provinces and cities is more significant

According to the statistics of the China Academy of Information and Communication Technology (CAICT), China's big data enterprises are mainly located in Beijing, Guangdong, Shanghai, Zhejiang and other economically developed provinces with rich data resources. Among them, Beijing has a strong big data industry, with the number of big data enterprises accounting for about 35% of the national total.

Relying on the Beijing-Tianjin-Hebei Big Data Comprehensive Pilot Zone, Tianjin, Shijiazhuang, Langfang, Zhangjiakou, Qinhuangdao and other places are booming in big data industry, forming a competitive advantage in the field of information industry. In addition, Guangdong, Shanghai, Zhejiang and other regions have larger data production and stock, and more big data enterprises are distributed.

According to the "China's big data regional development level assessment white paper (2020)" assessment results show that the first ranked Guangdong Province is far ahead of the index of 56.43, higher than the last ranked Tibet Autonomous Region 47.05. From the point of view of the distribution of the index, the country's provinces, municipalities and autonomous regions can be divided into three echelons:

The first echelon by Guangdong, Beijing, Jiangsu, Shandong, Zhejiang, Shanghai, Fujian, Sichuan 8 provinces and municipalities, the total index of these provinces and municipalities are higher than 30;

The second echelon consists of 11 provinces and municipalities such as Hubei, Anhui, Henan, etc.

The third echelon consists of 12 provinces and autonomous regions such as Guangxi, Heilongjiang, etc., with total indexes of less than 20, and the development of big data in these regions is relatively lagging behind, and it is necessary to learn from the development experience of the leading provinces and municipalities to accelerate the catching up with the development experience of the leading provinces and municipalities. These regions are relatively lagging behind in the development of big data, and need to actively learn from the development experience of the leading provinces and cities to accelerate the pace of catching up.

-- Please refer to the China Big Data Industry Development Prospect and Investment Strategy Planning Analysis Report

for more information.