The Chinese domestic database market is experiencing robust growth, driven by increasing government initiatives promoting digital transformation and the rising adoption of cloud computing and big data analytics across various sectors. The market, estimated at $5 billion USD in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion USD by 2033. This expansion is fueled by several key factors. Firstly, the substantial investment in digital infrastructure within China, particularly in areas like smart city development and industrial automation, is creating significant demand for reliable and secure domestic database solutions. Secondly, the government's emphasis on data sovereignty and national security is pushing organizations to adopt domestically developed databases, reducing reliance on foreign technologies. Thirdly, the increasing maturity of Chinese database technology providers, coupled with their competitive pricing and localized support, is attracting both public and private sector clients. Key segments driving growth include the smart government affairs and information security sectors, followed by industry digitalization and digital industrialization. While competition is intense amongst both established players and new entrants, the long-term outlook for the Chinese domestic database market remains extremely positive. However, challenges remain. The market still faces hurdles in achieving global technological parity with established international players. Furthermore, maintaining consistent innovation and addressing issues related to data security and interoperability will be crucial for continued growth. The dependence on specific segments, like government initiatives, creates some vulnerability to policy changes. Despite these challenges, the confluence of supportive government policies, expanding digital economy, and the maturation of domestic technology providers suggests that the Chinese domestic database market is poised for substantial and sustained expansion in the coming years. Continued investment in research and development, as well as a focus on international standards compliance, will be key for Chinese companies to strengthen their position in the global database landscape.

This dataset contains China Oil Database for 2002-2021. Data from Joint Organisations Data Initiative. Follow datasource.kapsarc.org for timely data to advance energy economics research.

China Land Area Purchased: Year to Date data was reported at 193,661.832 sq m th in Sep 2018. This records an increase from the previous number of 164,512.931 sq m th for Aug 2018. China Land Area Purchased: Year to Date data is updated monthly, averaging 121,416.231 sq m th from Dec 1998 (Median) to Sep 2018, with 238 observations. The data reached an all-time high of 409,729.489 sq m th in Dec 2011 and a record low of 3,808.800 sq m th in Feb 1999. China Land Area Purchased: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.RKD: Land Purchase and Development.

China Google Search Trends: Online Shopping: Tmall data was reported at 8.000 Score in 14 May 2025. This stayed constant from the previous number of 8.000 Score for 13 May 2025. China Google Search Trends: Online Shopping: Tmall data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 70.000 Score in 22 Jan 2023 and a record low of 0.000 Score in 02 May 2025. China Google Search Trends: Online Shopping: Tmall data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s China – Table CN.Google.GT: Google Search Trends: by Categories.

The Chinese Big Data market presents a compelling investment landscape, projected to experience robust growth. With a Compound Annual Growth Rate (CAGR) of 30% from 2019 to 2033, the market's value is expected to surge significantly. Several key drivers fuel this expansion. The burgeoning digital economy in China, coupled with increasing government initiatives promoting data-driven decision-making across sectors, is creating substantial demand for big data solutions. Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are inextricably linked to big data, fostering innovation and creating new applications across diverse industries, including BFSI, healthcare, retail, and manufacturing. The adoption of cloud-based big data solutions is accelerating, offering scalability and cost-effectiveness for businesses of all sizes. However, challenges remain, including data security concerns, a lack of skilled professionals, and the need for robust data governance frameworks. These restraints, while present, are not expected to significantly impede the overall market trajectory given the substantial opportunities and government support.
The market segmentation reveals diverse investment avenues. The cloud deployment model is projected to dominate due to its advantages, while the large enterprise segment presents the largest revenue pool. Within solutions, customer analytics, fraud detection, and predictive maintenance are currently high-growth areas, offering attractive ROI. Geographically, China itself represents a significant portion of the market, although international players are also gaining traction. Considering the robust CAGR and the diverse segments, strategic investments targeting cloud-based solutions, AI-powered analytics, and specific industry verticals (like BFSI and healthcare) hold significant promise for high returns. Careful consideration of regulatory landscapes and data privacy regulations is crucial for successful investment strategies within this dynamic market. Investment Opportunities of Big Data Technology in China This comprehensive report analyzes the burgeoning investment opportunities within China's Big Data Technology sector, offering a detailed forecast from 2019-2033. The report utilizes 2025 as its base and estimated year, covering the historical period (2019-2024) and forecasting market trends from 2025-2033. It delves into market dynamics, key players, and emerging trends shaping this rapidly expanding industry. This report is crucial for investors, businesses, and analysts seeking to understand and capitalize on the immense potential of China's big data market. Recent developments include: November 2022 - Alibaba announced the Innovative upgrade, and Greener 11.11 runs wholly on Alibaba Cloud, whereas Alibaba Cloud's dedicated processing unit powered 11.11 for the Apsara Cloud operating system. The upgraded infrastructure system significantly improved the efficiency of computing, storage, etc., October 2022 - Huawei Technologies Co.has unveiled its 4-in-1 hyper-converged enterprise gateway NetEngine AR5710, delved into the latest CloudCampus 3.0 + Simplified Solution, and launched a series of products for large enterprises and Small- and Medium-Sized Enterprises (SMEs). With these new offerings, Huawei aims to help enterprises simplify their campus networks and maximize digital productivity.. Key drivers for this market are: 6.1 Data Explosion: Unstructured, Semi-structured and Complex6.2 Improvement in Algorithm Development6.3 Need for Customer Analytics. Potential restraints include: 7.1 Lack of General Awareness And Expertise7.2 Data Security Concerns. Notable trends are: Need for Customer Analytics to Increase Exponentially Driving the Market Growth.

CN: Total R&D Personnel: Compound Annual Growth Rate data was reported at 11.148 % in 2022. This records an increase from the previous number of 9.205 % for 2021. CN: Total R&D Personnel: Compound Annual Growth Rate data is updated yearly, averaging 8.624 % from Dec 1992 (Median) to 2022, with 29 observations. The data reached an all-time high of 18.409 % in 2005 and a record low of -9.143 % in 1998. CN: Total R&D Personnel: Compound Annual Growth Rate data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.MSTI: Number of Researchers and Personnel on Research and Development: Non OECD Member: Annual.

The national breakdown by source of funds does not fully match with the classification defined in the Frascati Manual. The R&D financed by the government, business enterprises, and by the rest of the world can be retrieved but part of the expenditure has no specific source of financing, i.e. self-raised funding (in particular for independent research institutions), the funds from the higher education sector and left-over government grants from previous years.

The government and higher education sectors cover all fields of NSE and SSH while the business enterprise sector only covers the fields of NSE. There are only few organisations in the private non-profit sector, hence no R&D survey has been carried out in this sector and the data are not available.

From 2009, researcher data are collected according to the Frascati Manual definition of researcher. Beforehand, this was only the case for independent research institutions, while for the other sectors data were collected according to the UNESCO concept of “scientist and engineer”.

In 2009, the survey coverage in the business and the government sectors has been expanded.

Before 2000, all of the personnel data and 95% of the expenditure data in the business enterprise sector are for large and medium-sized enterprises only. Since 2000 however, the survey covers almost all industries and all enterprises above a certain threshold. In 2000 and 2004, a census of all enterprises was held, while in the intermediate years data for small enterprises are estimated.

Due to the reform of the S&T system some government institutions have become enterprises, and their R&D data have been reflected in the Business Enterprise sector since 2000.

China Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 14.100 NA in 2016. This records a decrease from the previous number of 14.400 NA for 2015. China Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 15.100 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 18.100 NA in 2000 and a record low of 14.100 NA in 2016. China Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

China GDP: Prefecture Level City data was reported at 71,746.936 RMB bn in 2015. This records an increase from the previous number of 67,836.364 RMB bn for 2014. China GDP: Prefecture Level City data is updated yearly, averaging 16,335.067 RMB bn from Dec 1991 (Median) to 2015, with 23 observations. The data reached an all-time high of 71,746.936 RMB bn in 2015 and a record low of 1,559.944 RMB bn in 1991. China GDP: Prefecture Level City data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AE: Gross Domestic Product: Prefecture Level City.

China Internet User Structure: Mobile Phone: Student data was reported at 34.300 % in Jun 2011. This records a decrease from the previous number of 35.600 % for Dec 2010. China Internet User Structure: Mobile Phone: Student data is updated semiannually, averaging 34.300 % from Dec 2009 (Median) to Jun 2011, with 3 observations. The data reached an all-time high of 35.600 % in Dec 2010 and a record low of 32.300 % in Dec 2009. China Internet User Structure: Mobile Phone: Student data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Internet User Structure: Mobile Phone.

China (FDI) Foreign Direct Investment: Utilized: Prefecture Level City data was reported at 286.501 USD bn in 2014. This records an increase from the previous number of 272.511 USD bn for 2013. China (FDI) Foreign Direct Investment: Utilized: Prefecture Level City data is updated yearly, averaging 88.021 USD bn from Dec 1996 (Median) to 2014, with 19 observations. The data reached an all-time high of 286.501 USD bn in 2014 and a record low of 43.358 USD bn in 1997. China (FDI) Foreign Direct Investment: Utilized: Prefecture Level City data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Investment – Table CN.OT: Foreign Direct Investment: Capital Utilized: Prefecture Level City.

China Retail Price: 36 City Avg: Fresh Beef: Tendon Shank data was reported at 41.110 RMB/500 g in Mar 2025. This records a decrease from the previous number of 41.480 RMB/500 g for Feb 2025. China Retail Price: 36 City Avg: Fresh Beef: Tendon Shank data is updated monthly, averaging 35.410 RMB/500 g from Apr 2003 (Median) to Mar 2025, with 264 observations. The data reached an all-time high of 49.270 RMB/500 g in Dec 2023 and a record low of 8.170 RMB/500 g in Apr 2003. China Retail Price: 36 City Avg: Fresh Beef: Tendon Shank data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PA: Price Monitoring Center, NDRC: 36 City Monthly Avg: Retail Price: Food.

China Producer Price Index data was reported at 103.762 2010=100 in Jun 2018. This records an increase from the previous number of 103.475 2010=100 for May 2018. China Producer Price Index data is updated monthly, averaging 101.274 2010=100 from Jan 2010 (Median) to Jun 2018, with 102 observations. The data reached an all-time high of 107.307 2010=100 in Sep 2011 and a record low of 92.467 2010=100 in Feb 2016. China Producer Price Index data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s China – Table CN.IMF.IFS: Consumer and Producer Price Index.

China Environmental Policy Stringency Index: Non-Market Based Policies data was reported at 5.500 NA in 2020. This stayed constant from the previous number of 5.500 NA for 2019. China Environmental Policy Stringency Index: Non-Market Based Policies data is updated yearly, averaging 1.750 NA from Dec 1990 (Median) to 2020, with 31 observations. The data reached an all-time high of 5.500 NA in 2020 and a record low of 0.000 NA in 1996. China Environmental Policy Stringency Index: Non-Market Based Policies data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.ESG: Environmental: Environmental Policy Stringency Index: Non OECD Member: Annual.

China Population: Education Level: Primary data was reported at 365.918 Person th in 2021. This records a decrease from the previous number of 349,658.733 Person th for 2020. China Population: Education Level: Primary data is updated yearly, averaging 388.245 Person th from Dec 1982 (Median) to 2021, with 28 observations. The data reached an all-time high of 441,613.351 Person th in 2000 and a record low of 257.030 Person th in 2019. China Population: Education Level: Primary data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: Level of Education.

China Population: Education Level: Primary: Female data was reported at 195.372 Person th in 2021. This records a decrease from the previous number of 184,765.550 Person th for 2020. China Population: Education Level: Primary: Female data is updated yearly, averaging 195.865 Person th from Dec 1982 (Median) to 2021, with 27 observations. The data reached an all-time high of 224,578.928 Person th in 2000 and a record low of 135.591 Person th in 2019. China Population: Education Level: Primary: Female data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: Level of Education.

China Export: HS 8: Lithium data was reported at 34.120 RMB mn in Mar 2025. This records an increase from the previous number of 28.592 RMB mn for Feb 2025. China Export: HS 8: Lithium data is updated monthly, averaging 31.296 RMB mn from Jan 2016 (Median) to Mar 2025, with 111 observations. The data reached an all-time high of 177.271 RMB mn in Jul 2022 and a record low of 2.250 RMB mn in Feb 2016. China Export: HS 8: Lithium data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JKF: RMB: HS28: Inorganic Chemicals; Organic or Inorganic Compounds of Precious Metals, of Rare-Earth Metals, of Radioactive Elements or of Isotopes.

China Number of Public Transit Vehicle: City: Bus & Trolley Bus data was reported at 682.500 Unit th in 2023. This records a decrease from the previous number of 703.165 Unit th for 2022. China Number of Public Transit Vehicle: City: Bus & Trolley Bus data is updated yearly, averaging 374.876 Unit th from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 709.443 Unit th in 2021 and a record low of 168.566 Unit th in 1997. China Number of Public Transit Vehicle: City: Bus & Trolley Bus data remains active status in CEIC and is reported by Ministry of Transport. The data is categorized under China Premium Database’s Utility Sector – Table CN.RCI: Number of Public Transit Vehicle: Bus and Trolley Bus.

China Number of Hospital: Traditional Chinese Medicine data was reported at 5,053.000 Unit in 2023. This records an increase from the previous number of 4,779.000 Unit for 2022. China Number of Hospital: Traditional Chinese Medicine data is updated yearly, averaging 2,441.000 Unit from Dec 1950 (Median) to 2023, with 51 observations. The data reached an all-time high of 5,053.000 Unit in 2023 and a record low of 4.000 Unit in 1950. China Number of Hospital: Traditional Chinese Medicine data remains active status in CEIC and is reported by National Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GN: Number of Hospital & Health Center.

China Unemployment Rate: % Change data was reported at -2.353 % in 2017. This records a decrease from the previous number of -0.247 % for 2016. China Unemployment Rate: % Change data is updated yearly, averaging 0.000 % from Dec 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 30.000 % in 1989 and a record low of -8.000 % in 1991. China Unemployment Rate: % Change data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s China – Table CN.IMF.IFS: Labour Force, Employment and Unemployment: Annual.

China Import: AD: Digital Automatic Data Processing Machine data was reported at 770,000.000 Unit in Oct 2018. This records a decrease from the previous number of 920,000.000 Unit for Sep 2018. China Import: AD: Digital Automatic Data Processing Machine data is updated monthly, averaging 97,179.500 Unit from Jan 2001 (Median) to Oct 2018, with 214 observations. The data reached an all-time high of 920,000.000 Unit in Sep 2018 and a record low of 11,287.000 Unit in Oct 2001. China Import: AD: Digital Automatic Data Processing Machine data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JA: Import by Major Commodity: Quantity.