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Big data in China is used to connect government services and physical systems, and to support decisions in transport, finance, healthcare, agriculture, commerce and environmental management. Official figures show the scale of the underlying infrastructure, while policy plans describe applications that are intended or being promoted—not proof that every service is deployed uniformly across the country.
What “big data” means in China
In this context, big data is not one database or product. It is the collection, exchange and analysis of information from administrative services, businesses, connected devices and physical infrastructure. Linking those sources can help agencies and companies coordinate actions that would otherwise rely on disconnected records—for example, matching transport conditions to logistics plans or connecting medical records with insurance processes.
The infrastructure is expanding. The National Data Administration reported 32.85 zettabytes (ZB) of data production and 230 exaflops (EFLOPS) of computing capacity for 2023, then 41.06 ZB of data production—25% more year over year—and 280 EFLOPS of computing capacity for 2024. Other figures below come from different government reporting and refer to 2023, so they should not be read as measurements from the same report or date.
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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errors| Measure | Reported value | Reporting source and period |
|---|---|---|
| Data production | 32.85 ZB | National Data Administration, reporting 2023 (2024 report) |
| Data production | 41.06 ZB; up 25% year over year | National Data Administration, reporting 2024 (2025 report) |
| Computing capacity | 230 EFLOPS | National Data Administration, reporting 2023 (2024 report) |
| Computing capacity | 280 EFLOPS | National Data Administration, reporting 2024 (2025 report) |
| 5G base stations | 4.251 million | National Data Administration, reporting 2024 (2025 report) |
| Internet users | 1.092 billion | Government of China, reporting 2023 (2024 report) |
| Cellular Internet of Things terminals | 2.332 billion | Government of China, reporting 2023 (2024 report) |
These totals indicate a large base for data-intensive services; on their own, they do not show how well a particular city’s system works, how widely a capability is used, or what its effects are on privacy.
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Government services: completing more tasks online
Digital-government systems bring administrative records and procedures into online services, with the aim of letting people and businesses handle tasks without repeated in-person visits or resubmitting the same information to multiple offices. The National Data Administration’s 2024 report says 92.5% of provincial administrative-licensing matters were accepted online in 2023. “Accepted online” describes the channel for submitting an application; it does not mean every case was approved or completed online.
In its report covering 2024, the administration lists 21 “high-efficiency” cross-government service items and says remote medical services covered all cities and counties. These are reported service outputs, not a guarantee that every local process is equally convenient or that every resident can use it in the same way.
Smart cities: coordinating urban systems
China’s action plan describes using data about people, land, events, objects, conditions and organizations to give city authorities a more joined-up picture of what is happening. The intended applications include traffic management, public health, public security and ecological protection, as well as cross-city administrative services.
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The plan’s stated goal is “real-time situational awareness, intelligent risk assessment, and timely coordinated response.” In practice, that means combining information from different systems so a city can identify a developing issue and coordinate a response. The plan sets a policy direction; it does not establish that all cities have integrated all these data sources or achieved the same response capability.
Transport and logistics: connecting roads, vehicles and freight
Transport data can connect road infrastructure and traffic flow with vehicle positions, driving behavior, weather and logistics records. The action plan also names freight, waybills, settlements, insurance and tracking data as information to share. Together, these datasets can support several distinct tasks:
- Route planning: combine road and traffic conditions with weather and shipment information to help plan journeys.
- Ports and freight: use electronic bills of lading and logistics data to improve coordination and support intelligent port security.
- Road safety: use dynamic vehicle information and driving behavior data to support monitoring and prevention.
- Connected vehicles: support pilots for commercial self-driving operations in defined areas and periods.
- Insurance and credit: use vehicle and driving-related information as inputs to differentiated insurance or credit decisions.
These are proposed or promoted uses in the plan, not evidence that autonomous vehicles operate commercially everywhere or that every insurer uses the same data or methods.
Finance and insurance: using data beyond a credit file
The action plan encourages financial institutions to combine information from sources such as tax, commerce, consumption, healthcare, social security, agriculture, utilities, weather, industry and environmental monitoring. The stated uses include confirming an entity’s identity, designing credit and insurance products, underwriting policies, handling claims, detecting fraud or money laundering, and issuing earlier risk warnings.
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Cross-sector information can help an institution assess an application when conventional financial records are limited, but combining data also makes accuracy, relevance, consent and security important. The plan identifies intended applications; it does not specify a single nationwide underwriting model or establish how each institution implements these checks.
Healthcare: clinical records, insurance and public health
Healthcare applications span both patient care and administration. The action plan proposes sharing electronic medical records and test results among medical institutions, making insurance settlement easier, linking basic and commercial health-insurance data, and maintaining personal health records. It calls for “unified standards, sharing, and mutual recognition of examination and test result data among medical institutions.”
If records and test results can be exchanged reliably, patients may face fewer repeated tests and less paperwork, while clinicians and insurers can work from more complete information. The plan also describes linking healthcare with disease-control systems, monitoring occupational disease, and using data for public-health incident early warning and smart health management. These are policy aims; the plan alone does not establish that records are interoperable in every locality or that a particular clinical outcome has improved.
Agriculture and food supply: monitoring production and disruption
For grain, hogs, fruit and vegetables, the action plan calls for data spanning production capacity, transport, processing, trade and consumption. The purpose is to improve monitoring and early warning when output, supply routes or prices are under pressure. The plan explicitly connects these datasets with responses to natural disasters, epidemics and price fluctuations.
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Environment, energy and climate: combining signals for resilience
Environmental applications link meteorological, water, transport and electric-power data. The plan describes uses in hydrological forecasting, disaster analysis, pollution response, water-environment management, energy scheduling and carbon-footprint measurement. Connecting these sources can help authorities evaluate how weather, infrastructure and energy demand interact during routine operations or emergencies.
As with other applications in the plan, this is a description of intended data use, not an independent evaluation of local performance or environmental results.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Commerce and digital consumption: matching demand to supply
The action plan proposes bringing together order demand, logistics, production capacity, supply-chain, transaction, payment and population-distribution data. Businesses and public agencies can use such information to respond to shifts in demand, coordinate supply chains, target promotions, support supply-chain finance and manage cross-border e-commerce.
The National Data Administration’s 2024 Digital China report said China had remained the world’s largest online-retail market for 11 consecutive years and recorded 2.38 trillion yuan in cross-border e-commerce imports and exports. Those figures describe the market reported for 2023; they do not measure the impact of any particular data platform.
Is China’s “social-credit system” one big-data score?
The documented applications here should not be collapsed into a single “social-credit” product. The official materials summarized above describe different uses of data in government services, transport, finance, healthcare and other sectors. They do not establish one all-purpose score covering every person, nor do they describe one system that combines all these functions under a single operator.
For a specific social-credit-related program, the important questions are what data it uses, who operates it, what decision it affects, and what review or correction process applies. The evidence cited here is not detailed enough to answer those questions for every local program, so claims about a uniform nationwide scoring mechanism would go beyond what these reports and the action plan establish.
How to judge a big-data project in China
Infrastructure scale and ambitious plans do not, by themselves, show whether a project works well for the people or organizations affected by it. When assessing a city service, vendor or policy application, check:
- Data sources and interoperability: Which records or sensors are included, and can systems exchange them accurately?
- Coverage and latency: Which locations and users are covered, and how current is the information?
- Privacy, cybersecurity and legal compliance: What information is collected, how is it protected, and what rules govern its use?
- Analytics capability: What decisions or predictions does the model support, and how are errors handled?
- Resilience: Does the system remain useful during disasters, outages or other disruptions?
- Integration cost: What changes, maintenance and coordination are needed to connect existing systems?
- Measured outcomes: Are there verifiable results for service access, safety, efficiency or other stated goals?
The National Data Administration’s reporting provides national-scale indicators and reported service outputs, while the action plan lays out intended applications. Neither should be mistaken for an independent assessment of every deployment, and the materials do not quantify privacy harms across these uses.
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