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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallShenzhen Data Exchange did not newly open in 2026. It was officially unveiled on November 15, 2022, when it announced its first online data transactions and issued its first online data-trading and data-merchant certificates. The current story is its expansion into a larger, regulated market for data products, services and tools—not an unrestricted marketplace for raw personal information.
For companies, the practical question is what rights they receive, whether the proposed use is lawful, and how quality, security, delivery and payment are handled.
What Shenzhen Data Exchange is
Shenzhen Data Exchange is a data-trading venue and supporting market infrastructure. Its rules provide for product listing, buyer-and-seller matching, information disclosure, negotiation, contract review and preservation, delivery, settlement, traceability, dispute handling and compliance services. It is designed to make data usable as an economic factor while adding a formal process around sourcing and permitted use.
It is not a securities exchange. The cited Shenzhen rules do not treat the venue as a continuous anonymous order book and prohibit stock-market-style practices such as centralized bidding and market-making by the trading venue. (Shenzhen data-trading rules)
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The opening ceremony on November 15, 2022 included the first online transactions and the first batch of certificates. An English-language account from Luohu also reported an initial intra-market cross-border data-trading certificate. (Luohu government account; Shenzhen government launch report)
What can be traded?
Shenzhen’s framework divides transaction objects into three broad categories. A transaction may transfer a limited right of access or use rather than ownership of an underlying database.
| Category | Examples | What the buyer may receive |
|---|---|---|
| Data products | Datasets, processed or derived datasets, analytical reports, visualizations, indices, APIs and encrypted data | A licensed dataset, API access, analytical output or controlled-access product |
| Data services | Collection, preprocessing, modeling, analysis, visualization and security services | Work performed by a provider, sometimes using a secure environment rather than handing over raw data |
| Data tools | Storage, acquisition, cleaning, analytics, visualization and security software or hardware | Technology or infrastructure used to manage and analyze data |
These categories appear in Shenzhen’s rules and data-trading service standard. (Rules; Service standard PDF)
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How a transaction works
- Prepare the offer and requirement. A seller describes the product or service, scope, update frequency, pricing method and sample material. A buyer states its industry, data need, intended purpose and use scenario.
- Review and matching. The exchange reviews information from both sides and supports online matching or assisted negotiation. Listing does not remove the parties’ responsibility to establish lawful rights and a permitted use.
- Test in a controlled setting. Depending on the product, the buyer may receive a sample, limited access or a testing environment. A controlled test can reveal schema, coverage and quality without exposing an entire raw dataset.
- Sign the contract. The contract should address the data description, purpose, quality, transaction method, price, usage period, security responsibilities, delivery timing and confidentiality.
- Deliver and settle. The agreed dataset, API, output, tool or service is delivered, and payment is settled under the contract.
- Preserve records and handle disputes. Transaction records support traceability. The exchange and relevant third parties may assist with disputes, misuse or compliance issues.
The published service materials describe this lifecycle, but they do not establish a universal public fee schedule, catalogue or self-service registration path. Companies should verify the current official channel before submitting sensitive information or paying an intermediary. (Service-standard interpretation)
Industries covered—and what that wording does not mean
Early exchange reporting cited applications including green finance and new-energy vehicles. The wider data-market program also addresses finance and credit, healthcare, artificial intelligence, logistics, manufacturing and supply chains, energy, technology and research, public services, transportation and cross-border data services.
Those references are not all the same kind of evidence. Some are reported applications, while others are policy priorities or target sectors for trusted data spaces. A 2025 national notice, for example, identifies new materials, technology, energy, logistics and medical care among priority areas for industry data-space development; that notice is not a complete Shenzhen exchange catalogue. (National trusted-data-space notice)
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Shenzhen is also encouraging AI-training-data transactions. Its 2026 corpus-voucher program says qualifying Shenzhen enterprises may obtain support for eligible corpus purchases from non-related parties, subject to compliance and other conditions. (AI corpus-voucher announcement)
Compliance boundaries
The exchange is a regulated transaction framework, not a permission slip to sell any information a company possesses.
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- Lawful source: A seller must be able to show that it has the right to provide the data or product.
- Declared purpose: A buyer must use the product for the agreed industry, purpose and scenario. A licence may restrict geography, duration, downstream sharing, derivative products or trained models.
- Quality and security: Product disclosures, testing, access controls, encryption, audit records and security responsibilities matter alongside price.
- Protected information: Personal information, privacy, commercial secrets and important data require special protection. Under the cited rules, data that identifies a specific natural person in the prohibited circumstances cannot be a transaction object.
- Cross-border limits: Cross-border circulation requires additional review. An overseas company cannot assume that every listed product may be exported, reused outside mainland China or accessed remotely.
In practice, “trading data” can mean an API licence, limited-use access, a derived analysis, a model or tool, a managed processing service, or secure computation. It does not necessarily mean unrestricted ownership of a raw database. (Shenzhen rules; Official rules PDF)
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Who participates in the market?
The framework recognizes data sellers, data buyers, data merchants, third-party service providers and the exchange operator. Data merchants can develop sources and products, publish and promote listings, negotiate transactions, conduct sales or agency sales and support trusted circulation.
Specialist providers may supply legal and compliance advice, notarization, data-asset valuation, insurance, security and quality assessments, audits, training and consulting. These firms are part of the commercial ecosystem because a buyer often needs diligence and controlled delivery in addition to a dataset. (Data-merchant guidance; Third-party service rules)
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How large is it now?
A Shenzhen Development and Reform Commission update published in late 2025 reported more than 4,000 transaction objects listed on the exchange, 27 industry-specific data zones and more than 5,000 participating business entities. Those are dated government-reported totals and may change as listings and participants are added or removed. (Late-2025 market update)
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By contrast, the figures of more than 600 products, 53 scenarios, 415 transactions and RMB 1.11 billion describe the platform around its 2022 opening. They are historical launch-period figures, not current performance measures. (2022 opening account)
2026 AI-corpus subsidy opportunity
Qualifying Shenzhen enterprises may be able to claim up to 30% of eligible AI-corpus purchase costs, capped at RMB 2 million, under the city’s 2026 corpus-voucher program. The announced application window is September 1 through November 10, 2026. Eligibility includes Shenzhen business operations and corpus-data compliance; the program is not a universal discount for every buyer or dataset.
The city also said it would explore adding subsidy identifiers to qualifying datasets listed on approved data exchanges. Because the application period is upcoming, companies should treat the support as a potential opportunity and confirm the final requirements before committing to a purchase. (Voucher program; Data-exchange cooperation notice)
Buyer and seller checklist
Legal usability
- Can the seller document its source and right to provide the data?
- Does the proposed use comply with Chinese data, cybersecurity and personal-information requirements?
- Are personal, sensitive, confidential or important data involved?
- Do cross-border access, export or reuse rules apply?
Use-case and licence fit
- Does the licence permit model training, analytics, credit, marketing, logistics or research?
- Are downstream sharing, derivative products and trained models covered?
- Are the geography, user entity and usage period restricted?
Quality and delivery
- How was the data collected, and what are its geographic and industry coverage?
- How often is it updated? Are schema, labels, metadata and a test sample supplied?
- Will delivery use download, API, secure computation, a data room or a managed service?
- What latency, volume, uptime and rate limits apply?
Commercial and operational risk
- Is pricing one-time, subscription, usage-based or negotiated, and are compute or compliance fees separate?
- Who is liable for inaccurate data, a security incident or a regulatory violation?
- Can the seller withdraw or update the product, and is the transaction reversible?
- What dispute-resolution process applies?
A regulated exchange can reduce the risks of an informal transfer, but review, negotiation and specialist advice may make it slower or more expensive than an unverified private dataset. Buyers seeking perpetual ownership, unrestricted raw personal data, immediate global portability or instant checkout may find a direct licence, cloud marketplace, managed data vendor or public-data platform more suitable.
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