Viet Nam sets a clear path to a fully digital State by 2030
Hanoi - December 3, 2025. Deputy Prime Minister Nguyễn Chí Dũng has approved the Digital Government Development Programme, committing all State agencies to a single, data-driven way of working by 2030.
The mandate is direct: administrative processing, internal management, leadership and governance will run on real-time data and results-based management. Uniform standards, interoperability, data sharing and removal of overlap are required across the political system, from central ministries to local government under the two-tier model.
What changes now
Every core operation will shift to national digital platforms with strong cybersecurity, personal data protection and asserted digital sovereignty. AI will sit at the core of public administration, service delivery and policymaking.
Targets by 2027
- 100% of eligible administrative procedures offered as fully online, end-to-end services.
- "Once-only" for businesses: production and trade data submitted a single time, reused across agencies.
- Citizen and enterprise satisfaction ≥ 95% for online services.
- All national and sectoral shared platforms for digital government completed and deployed nationwide.
- Administrative papers processed electronically at all levels; reporting regimes fully digitised.
- Government task assignments monitored online end to end.
- Ministries and localities reach data governance maturity level 3.
- All officials trained in basic digital skills; ≥ 50% of IT/digital staff certified in basic data governance.
Targets for 2028-2030
- Satisfaction ≥ 99% for online services.
- ≥ 50% of essential services delivered proactively and personalised using AI.
- Open data published by all State agencies using standard formats and dictionaries.
- Administrative records fully digitised; maximum reuse of digital information across workflows.
- Data governance maturity at level 4 for all, with ≥ 90% reaching level 5.
- Every information system connects through standardised data-sharing services/APIs.
- Each agency deploys at least one AI application in daily governance.
- ≥ 25% of leadership roles held by officials with sci-tech or digital transformation expertise.
- All digital government systems pass mandatory cybersecurity approvals and regular inspections.
Platforms, data and interoperability
Work will consolidate on interconnected national platforms that speak the same language: common data models, shared services and standard interfaces. This is how "once-only" works in practice and why data quality, lineage and access control must be enforced from day one.
For context on Viet Nam's broader digital agenda, see the Ministry of Information and Communications' overview of the national programme: National digital transformation program.
What to do this quarter
- Name an accountable owner for programme delivery (one senior leader, one PMO).
- Baseline your data governance maturity against the level 3 criteria; close the biggest gaps first.
- Inventory all administrative procedures; map each to an end-to-end digital pathway with target dates.
- Design "once-only" data flows for business-facing procedures; remove duplicate collections.
- Stand up a data catalog with stewards per domain; publish open data where permitted.
- Adopt standard APIs via a central gateway; implement service-level monitoring.
- Prepare cybersecurity approvals early; schedule periodic penetration tests and audits.
- Launch a skills plan: basic digital skills for all staff; data governance certification for IT/digital teams.
- Shortlist AI use cases that are safe, auditable and high-impact (e.g., triaging requests, detecting duplicate records, routing inspections).
- Set up a public dashboard for KPIs: service digitisation, satisfaction, processing time, reuse rate.
- Lock funding for platform consolidation, training and security testing; use shared services where possible.
Workforce and leadership
Every official will need baseline digital skills, and agencies must cultivate leaders who can read data, question models and drive service redesign. Create clear career paths for data stewards, product owners and cybersecurity roles, and measure managers on service outcomes, not volume of activity.
If your agency needs structured AI upskilling, see these curated options: AI courses by job role and popular AI certifications.
Risk, security and compliance
Cybersecurity approvals and recurring inspections are mandatory for all systems. Personal data protection must be baked into design and procurement - collection minimisation, clear legal bases, access controls and audit trails.
Reference: Viet Nam's Personal Data Protection Decree (English overview) - Decree 13/2023/ND-CP.
How the satisfaction targets will be met
- Reduce steps and documents; pre-fill forms using existing data.
- Offer clear status tracking and guaranteed response times.
- Collect feedback in-session and fix top issues monthly.
- Trigger proactive services based on life events and eligibility, with AI supporting recommendations and routing.
Metrics that matter
- End-to-end digitisation rate by procedure.
- Data reuse rate and open data coverage.
- Processing time (median and 90th percentile) and abandonment rate.
- Citizen/business satisfaction and first-contact resolution.
- API consumption and uptime.
- Training completion, certifications, and AI use adoption.
- Security incidents, audit pass rate and time-to-remediate.
Bottom line for agency heads
- Put one owner in charge and publish your roadmap.
- Standardise data, retire duplicative systems and move to shared platforms.
- Fund skills early; certify your stewards and engineers.
- Start with a few high-volume services; deliver visible wins each quarter.
- Measure everything, report publicly and course-correct fast.
The direction is clear. Agencies that execute the basics - data standards, end-to-end services, secure platforms and skilled teams - will hit the 2027 and 2030 benchmarks on time.
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