On August 8, 2026, the Vietnamese Government issued Decree No. 314/2026/ND-CP on the operation of Vietnam's data marketplaces, which officially takes effect on September 25, 2026. The Decree establishes a comprehensive legal framework for organizing and operating Vietnam's data marketplaces, covering Vietnam's data market participation requirements, eligible data for trading, valuation mechanisms, transaction procedures, electronic contracts, risk management, and dispute resolution.
Most notably, personal data cannot be bought or sold on Vietnam's data marketplaces. Products derived from personal data may only be traded when they comply with applicable legal requirements, including de-identification obligations.
More importantly, Decree 314 is not merely another regulatory document. It signals a new phase in Vietnam's digital transformation journey - one where data is no longer viewed solely as something to collect, store, and share, but increasingly as an economic asset that can be standardized, valued, analyzed, and transformed into real business value.
So what exactly does this Decree change? And how should businesses prepare for a future where data becomes a tradable economic resource?
1. What problem does Decree 314/2026/ND-CP solve?
For years, Vietnam's data initiatives have largely focused on digitization, database development, system integration, and information sharing. Those efforts remain essential. However, as the digital economy matures, a different question has emerged:
If data has value, how can that value be transformed into products and services that can be exchanged within a trusted market?
This is precisely the gap that an organized data market aims to address.
Having a dataset inside an organization's systems does not automatically make it market-ready. To become a valuable data product, businesses must answer several fundamental questions:
- Where did the data originate?
- Who owns the rights to use and distribute it?
- Is the data accurate and complete?
- How frequently is it updated?
- Can it integrate with other systems?
- Is it accessible through APIs or only downloadable files?
- What usage rights does the buyer receive?
- How should the data be valued?
Decree 314 introduces a clearer legal framework around these questions. Instead of treating data trading as a simple buying-and-selling activity, the Decree recognizes a complete transaction ecosystem that includes listing, disclosure, valuation, contracts, payment, risk management, and dispute resolution.
In other words, a functioning data market requires much more than a place to exchange datasets - it requires mechanisms that build trust.
2. A data exchange is more than a marketplace for buying and selling data
A complete data transaction can be viewed as the following value chain: Data Source → Assessment → Standardization → Product Description → Listing → Valuation → Transaction → Contract → Delivery → Utilization → Rights Management. Every stage introduces its own challenges.
A company may own millions of records and still struggle to commercialize them if:
- the data lacks structure,
- provenance is unclear,
- duplicate records exist,
- formats are inconsistent,
- metadata is missing,
- update mechanisms are absent,
- API documentation is unavailable,
- or usage rights remain undefined.
As a result, the emergence of Vietnam's data marketplaces could stimulate an entire ecosystem of supporting services around data, including:
- data standardization,
- quality assessment,
- data governance,
- identity management,
- valuation,
- API integration,
- analytics,
- cybersecurity,
- and computing infrastructure.
This supporting ecosystem may ultimately become one of the most significant long-term developments.
3. Not every dataset can be listed on Vietnam's data marketplaces
One of the Decree 314's most important contributions is defining which datasets, data products, and data services are eligible for trading.
3.1 Data must have lawful provenance
Eligible data must have a lawful origin, accompanied by documentation proving its collection, creation, or transferred rights of use. The creation process for data products and services must also be transparent. This fundamentally changes how businesses should think about their data.
Previously, organizations typically asked:
"What data do we have?"
In a Vietnam's data marketplace, the more important question becomes:
"Can we prove where this data came from and what rights we hold over it?"
Data provenance therefore becomes more than an internal governance issue - it becomes part of the data's commercial value.
3.2 Data must meet quality and technical standards
Data products are expected to satisfy technical requirements related to machine readability, interoperability, sharing, and usability.
For API-based products, additional requirements include:
- API documentation,
- data structures,
- authentication methods,
- access control,
- usage limitations,
- and disclosures regarding data accuracy, completeness, freshness, and known limitations.
This reflects a broader shift: Valuable data is not simply abundant data.
Valuable data is data that is:
- traceable,
- structured,
- high-quality,
- accessible,
- interoperable,
- verifiable,
- and ultimately usable in real-world business workflows.
As discussed in DataCore's article on structured business data for SMEs, commercial value emerges when data can actually support decision-making rather than merely exist in storage.
4. Personal data is not a commodity on Vietnam's data marketplaces
This is perhaps the most widely discussed aspect of Decree 314. The regulation explicitly prohibits using Vietnam's data marketplaces to buy, sell, or unlawfully process personal data. This distinction deserves careful interpretation. A data exchange is not the same thing as a marketplace for personal information.
Data products derived from personal data are not automatically prohibited. However, they may only be traded when they comply with Vietnam's personal data protection regulations, including applicable de-identification requirements. This creates an important balance. The goal is to unlock the economic value of data without compromising privacy rights or individual protections.
From a business perspective, this also means that governance, access control, and data lineage are becoming competitive capabilities - not merely compliance obligations. DataCore explored this broader perspective in its article on responsible AI governance, where trusted AI systems begin with trustworthy data.
5. Data is beginning to gain formal valuation mechanisms
Data differs fundamentally from traditional goods. A machine can typically be sold to one buyer at a time. A dataset, however, may generate value for multiple organizations simultaneously and serve entirely different purposes.
The same business dataset could benefit:
- banks assessing credit risk,
- investment funds conducting market research,
- companies searching for business partners,
- insurers building analytical models,
- or research institutions studying economic trends.
Its value therefore depends on far more than its production cost.
Key factors include:
- accuracy,
- completeness,
- freshness,
- coverage,
- granularity,
- interoperability,
- usage rights,
- and market demand.
By incorporating valuation and valuation support into regulated exchange operations, Decree 314 represents an important step toward transforming data from a difficult-to-price asset into a recognized economic resource.
Over time, this could create demand for entirely new professional services, including:
- data quality assessment,
- data cleansing,
- productization,
- metadata management,
- valuation,
- API integration,
- analytics,
- and usage rights management.
6. A data transaction is more than a file download
Another notable aspect of Decree 314 is its emphasis on electronic contracts. Transactions involving data products and services on Vietnam's data marketplaces must be formalized through electronic contracts that specify:
- buyer and seller information,
- product descriptions,
- quality commitments,
- intended usage,
- transaction value,
- delivery methods,
- payment mechanisms,
- confidentiality,
- liabilities,
- and dispute resolution.
This reflects an important conceptual shift. Data is increasingly treated as a product with a lifecycle and clearly defined usage rights, rather than simply a file transferred between parties.
Professional data transactions therefore require answers to questions such as:
- What exactly is the data?
- Where did it originate?
- What quality standards does it meet?
- How is it maintained?
- What usage rights are included?
- How will it be delivered?
- Who is responsible if commitments are not met?
Consequently, metadata, technical documentation, APIs, provenance tracking, and rights management become increasingly critical components of commercial data products.
7. What opportunities does decree 314 create for Vietnam's data market?
7.1. For organizations that own data
The Decree opens opportunities to view data as a monetizable business asset.
Companies can develop:
- data products,
- data services,
- APIs,
- industry-specific datasets,
- and analytics services.
However, capturing these opportunities begins with proper data inventory, governance, and standardization.
7.2. For organizations that need data
A regulated marketplace makes it easier to obtain legally sourced, higher-quality datasets with greater transparency. Instead of building every dataset internally, organizations can increasingly access standardized data products suitable for integration into business workflows.
This is particularly valuable for sectors such as:
- banking,
- finance,
- insurance,
- commerce,
- market research,
- and artificial intelligence.
7.3. For technology companies
The opportunity extends beyond selling data itself. It creates demand for the underlying infrastructure: Data → Infrastructure → Computing → Analytics → AI → Decision
This is where data marketplaces intersect with computing infrastructure. Large datasets only generate business value when organizations possess the computing capabilities necessary to process and analyze them efficiently.
8. From owning data to building data capabilities
Perhaps Decree 314's most significant implication is this broader transformation. The early phase of digital transformation focused on: Digitization → Collection → Storage. The next phase emphasized: Integration → Sharing → Connectivity. The emerging phase becomes: Standardization → Productization → Trading → Analytics → Value Creation
Yet a substantial gap still exists between data and business value. That gap is computing capability. Organizations may possess terabytes of information while still struggling to generate meaningful insights if they lack:
- scalable computing infrastructure,
- analytical tools,
- data models,
- big data processing capabilities,
- skilled expertise,
- and flexible environments for experimentation.
For this reason, the growth of Vietnam's data market is closely tied to the evolution of computing infrastructure.
9. Data markets require a strong infrastructure layer
This is where Decree 314 naturally connects with Vietnam's broader development of data and AI infrastructure. A Vietnam's mature data market requires far more than an exchange platform. It depends on an ecosystem consisting of:
- Data infrastructure: Supporting storage, governance, standardization, and interoperability.
- Analytics infrastructure: Transforming raw data into actionable insights.
- High-performance computing infrastructure: Providing scalable processing power for large-scale analytics, simulations, and AI workloads.
- AI infrastructure: Supporting model training, deployment, and operations.
As discussed in DataCore's article on data as national infrastructure, these layers work together to enable a modern data economy.
Put simply:
Vietnam's data market can only mature as far as the surrounding infrastructure enables organizations to process, analyze, and create value from data.
10. How DataCore views the emergence of Vietnam's data market
Decree 314 does not position DataCore as one of Vietnam's data exchanges - and that is not our role. Instead, DataCore operates within another critical layer of the ecosystem: deep data analytics and on-demand high-performance computing infrastructure for data and AI.
Our focus is on shortening the distance between data and actionable capability.
10.1 Data only creates value when it can be used
A high-quality dataset requires more than volume.
It needs:
- structured organization,
- traceable provenance,
- measurable quality,
- interoperability,
- query capability,
- and practical usability.
This philosophy aligns with DataCore's work in developing structured data solutions for real business challenges.
10.2 Advanced analytics require advanced computing
As datasets continue growing and AI workloads become increasingly complex, the challenge extends beyond finding data.
The next question becomes:
Do organizations have enough computing power to unlock its value?
DataCore's High-Performance Computing Infrastructure on Demand is designed to provide flexible computing resources for organizations working on:
- large-scale data analytics,
- scientific simulations,
- AI model training,
- specialized industry workloads,
- and research-intensive computing.
This direction also connects closely with Vietnam's broader conversation about sovereign AI infrastructure and national computing capacity.
10.3 Connecting data, computing, and decisions
Ultimately, value does not reside solely in data or infrastructure. It emerges from connecting them. Data → Computing → Analytics → AI → Insights → Decisions
That is why DataCore focuses on building deep data analytics capabilities alongside scalable HPC infrastructure rather than becoming one of Vietnam's data marketplaces.
11. How businesses should prepare before Vietnam's data market matures
Although Decree 314 takes effect on September 25, 2026, businesses do not need to wait before preparing. Five practical questions deserve immediate attention.
11.1. What data assets does your organization already own?
Map your available resources:
- internal operational data,
- customer data,
- transaction data,
- market data,
- third-party data,
- public data,
- and analytics-generated data.
11.2. Can you prove data provenance and usage rights?
Every dataset should include documentation covering:
- origin,
- collection methods,
- usage rights,
- permitted scope,
- and applicable restrictions.
11.3. Is your data commercially ready?
Evaluate:
- accuracy,
- completeness,
- consistency,
- freshness,
- duplication,
- and interoperability.
11.4. Can your data integrate with other systems?
Datasets locked inside spreadsheets or isolated repositories create limited value.
APIs, standardized structures, and metadata are becoming increasingly important.
11.5. Do you have the computing capacity to use your data?
This question is often overlooked. As workloads grow, organizations may require:
- parallel processing,
- high-performance computing,
- simulations,
- large-scale analytics,
- AI training,
- and specialized computing environments.
Not every organization needs to build its own computing cluster. For many workloads, on-demand HPC infrastructure provides a far more flexible approach.
12. Decree 314 could mark the beginning of a more mature data economy
Decree No. 314/2026/ND-CP alone will not create a Vietnam's mature data market.
A successful ecosystem requires multiple elements working together:
- Clear regulations
- High-quality data
- Interoperability standards
- Trustworthy governance
- Data infrastructure
- Computing capacity
- Analytical capability
Only when these components evolve together can data become a true driver of economic growth. Vietnam is now entering that next phase - from building databases to unlocking data, and ultimately toward a functioning data economy.
In that sense, Decree 314 is not the final destination. It is an important milestone marking the beginning of a new set of rules for Vietnam's emerging data market.
Conclusion: Data creates value when it becomes capability
The greatest significance of Decree 314 lies beyond establishing legal rules for Vietnam's data marketplaces. It represents a broader shift in how data is understood. Data is no longer something to simply collect and store. It must be: verified → standardized → governed → connected → analyzed → computed → transformed into value.
In the next phase of the digital economy, competitive advantage will increasingly belong not to organizations that own the most data, but to those capable of extracting value from data faster, deeper, and more effectively.
At DataCore, this is precisely the challenge we aim to solve through deep data analytics and on-demand High-Performance Computing (HPC) infrastructure for data and AI, helping businesses and research organizations bridge the gap between data, computing power, analytics, and AI.
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