Vietnam’s AI Ecosystem: Policy, Talent Pool, Market Growth

In December 2025, Vietnam enacted its first standalone AI law with overwhelming legislative support 429 out of 434 votes. This was more than a procedural milestone; it clearly signaled that Vietnam views artificial intelligence as a strategic economic priority, not an experimental technology trend.

For businesses considering where to build or outsource AI capabilities, this shift is significant. Vietnam’s ecosystem has rapidly evolved from “emerging” to highly investable within just a few years. This transformation is driven by a strong alignment of pro business policies, a growing talent pipeline, and increasing private sector investment a combination that few countries in the region currently match.

This article examines the three core pillars behind that momentum policy, talent, and market dynamics to help decision makers evaluate Vietnam’s AI readiness based on current data rather than outdated perceptions. It provides a strategic overview of the landscape, rather than guidance on selecting a specific development partner.

AI Policy Landscape – From Strategy to Regulation

Vietnam’s AI policy is not defined by a single document, but by a multi layered framework developed across 2024–2025. It combines long term strategy, formal regulation, and financial incentives helping explain why global investors now view Vietnam as a serious AI destination rather than an emerging market.

Resolution 57 and National AI Priorities

In December 2024, Vietnam formally positioned AI and semiconductors as national priorities under Resolution 57 NQ/TW. The government set clear targets:

• Rank top 3 in ASEAN for AI readiness
• Reach the top 50 globally by 2030

What makes this resolution impactful is its focus on private sector participation, not just government led investment. AI is framed as a driver of economic modernization and global competitiveness, rather than a standalone technology initiative.

By mid 2025, AI was further elevated through its inclusion in Vietnam’s official Strategic Technologies List, unlocking preferential policies such as:

• Faster licensing approvals
• Tax incentives
• Land use advantages for tech projects

The AI Law: A Modern Regulatory Framework

Vietnam’s AI Law (Law No. 134/2025/QH15), effective from March 2026, introduces one of the most up to date AI regulatory systems in Asia.

The framework follows a risk based classification model (high, medium, low), similar to global standards but adapted to local conditions. Key components include:

• National AI Development Fund to support research and innovation
• AI Voucher programs to encourage adoption among SMEs
• Regulatory sandbox environments for testing AI applications under supervision

For companies already operating AI systems, the law provides a transition period:

• Compliance deadline: March 2027
• Extended deadline (healthcare, education, finance): September 2027

This phased approach gives businesses time to adapt without disrupting operations.

Financial Incentives for AI Investment

Vietnam has backed its policy ambitions with tangible financial support.

Under Decree No. 182/2024/ND CP:

• AI and semiconductor R&D projects can receive up to 50% funding support
• Additional tax incentives and special economic zone benefits are available

These incentives are specifically designed to attract foreign investment and high value research activities, strengthening Vietnam’s position in the global AI ecosystem.

Vietnam’s AI policy stands out because it aligns strategy, regulation, and funding into a cohesive system. For businesses, this reduces uncertainty and creates a more predictable environment for investment one of the key factors behind Vietnam’s rapid transition into an AI ready market.

Vietnam’s AI Talent Pool – Scale, Specialization, and Gaps

Vietnam is often promoted as having a large engineering workforce commonly cited at 530,000+ IT professionals. While accurate, that figure reflects the entire tech sector. For businesses building AI products, the more relevant view focuses on AI specific talent, pipeline quality, and senior level availability.

1. Current AI Workforce

Vietnam currently has an estimated 18,000+ AI engineers, making it one of the largest AI talent pools in Southeast Asia. This is supported by a strong pipeline of approximately 70,000 IT graduates annually.

Global technology companies are reinforcing this ecosystem:

• Samsung operates a major R&D center in Hanoi with 2,400 engineers, many working on AI driven features
• NVIDIA announced a new R&D presence in Vietnam, citing strong STEM talent as a key factor

These investments validate both the depth and global competitiveness of Vietnam’s engineering base.

2. Education Pipeline & Institutional Investment

Vietnam is not just producing talent it is scaling it systematically.

• A $240 million investment (2025–2027) is expanding AI education nationwide
• AI focused programs are now offered at 15 universities
• Target: 5,000 new AI graduates annually by 2028

Long term workforce planning is even more ambitious:

• 100,000 ICT professionals per year by 2030
• Around 15% with postgraduate qualifications

In parallel, Samsung has committed to training 50,000 semiconductor engineers by 2030, a talent pool closely aligned with AI infrastructure and hardware development.

3. The Talent Gap: What Businesses Should Expect

While the pipeline is strong, the current market presents a clear imbalance.

• Demand for AI talent is projected to grow ~74% between 2025 and 2030
• The main constraint is senior level expertise, including:
  • Machine learning architects
  • Research leads
  • Engineers with production scale experience

Approximately 45% of AI solution providers in Vietnam identify talent shortages particularly at the senior level as their top operational challenge.

At the same time, salaries are rising by 10–20% annually. Although Vietnam remains cost competitive compared to the U.S. and Europe, the pricing gap is gradually narrowing an important factor for long term planning.

Vietnam’s AI talent market offers strong scale and a rapidly expanding pipeline, but with a notable shortage of senior expertise. For many companies, the most effective approach is to partner with established AI teams that already have experienced engineers in place reducing hiring timelines while maintaining delivery quality.

Market Growth – Investment, Revenue, and Infrastructure

Vietnam’s AI market is expanding rapidly, but estimates vary depending on scope enterprise software, full ecosystem value, or infrastructure. For business planning, it’s more useful to compare these perspectives side by side rather than rely on a single figure.

AI Market Size and Growth Projections

Source	2025 Estimate	Forecast	CAGR
IMARC Group	$161M (enterprise AI)	$1.83B by 2034	31%
Statista	$932M (total AI market)	$3.78B by 2031	26%
Deloitte	–	$65B by 2035	–

• IMARC focuses on enterprise software spending
• Statista includes services, hardware, and consumer applications
• Deloitte factors in infrastructure (e.g., data centers), making it a long term ceiling estimate

From an adoption standpoint, Vietnam is scaling quickly:

• ~47,000 enterprises adopted AI in 2024
• ~170,000 businesses now use AI in some capacity

Startup funding trends reinforce this momentum:

• $10M in 2023 → $80M in 2024
• $130M+ raised in Q1 2025 alone

The Data Center Investment Boom

AI growth is tightly linked to compute infrastructure and Vietnam is attracting substantial capital in this space. More than $7 billion in AI data center investments have been announced or committed:

• $2B hyperscale facility (joint venture involving Microsoft, FPT, and VinaCapital) in Ho Chi Minh City
• $2B AI data center in Tan Phu Trung Industrial Park
• $1.5B facility in Binh Duong Province
• $1B AI data center network by Create Capital Vietnam and Haimaker.ai
• $200M data center by IPTP Networks in Da Nang

Overall, Vietnam’s data center market is projected to grow from $1.04 billion in 2025 to $3.19 billion by 2031, reflecting strong long term infrastructure demand.

Foreign Tech Investment Accelerating

Global technology leaders are expanding aggressively in Vietnam:

• NVIDIA launched a $200M AI Factory in partnership with FPT
• Samsung continues to scale AI and semiconductor operations alongside existing manufacturing investments
• Google officially entered the Vietnam market in 2025
• Other major players include Meta, Intel, Qualcomm, Foxconn, and Apple

Industry analysts estimate that investments from companies like NVIDIA and Google alone could contribute ~1% to Vietnam’s GDP annually over the next decade.

Vietnam’s AI market is not just growing it is being structurally reinforced by capital, infrastructure, and global investment. For businesses, this signals a shift from early stage experimentation to a mature, scalable ecosystem capable of supporting large scale AI development and deployment.

Key AI Hubs – Where Innovation Is Concentrated

Vietnam’s AI ecosystem is geographically concentrated. Three major cities Ho Chi Minh City, Hanoi, and Da Nang account for the majority of talent, investment, and infrastructure, each with distinct strengths depending on business needs.

1. Ho Chi Minh City – Startup Capital & Largest Talent Pool

Ho Chi Minh City is Vietnam’s largest technology hub and the center of its startup ecosystem, ranked among the top 5 in ASEAN and within the top 110 globally.

Key infrastructure includes:

• Quang Trung Software City
• Saigon Hi Tech Park, home to major players like Intel, Samsung, and Nidec

Best suited for:

• Rapid product development
• Fintech and consumer AI applications
• Projects requiring a deep talent pool and mature vendor ecosystem

2. Hanoi – Deep Tech & R&D Hub

Hanoi is positioning itself as Vietnam’s center for advanced research and deep tech innovation.

Notable investments include:

• R&D operations from NVIDIA
• A $200M AI Factory led by FPT
• A 2,400 engineer research center from Samsung

Additional momentum comes from Hoa Lac Hi Tech Park and new venture capital funding targeting AI, semiconductors, and green technology.

Best suited for:

• Research intensive AI projects
• Machine learning and advanced data science
• Semiconductor and hardware adjacent development

3. Da Nang – Cost Efficient & High Retention

Da Nang is emerging as a cost effective alternative with strong developer retention and improving infrastructure.

• Rapid rise in global startup ecosystem rankings (130+ positions gained)
• Growing investment in infrastructure, including a planned $200M AI data center

Best suited for:

• Cost sensitive development projects
• Long term team stability
• Scaling engineering teams with lower attrition

Each hub plays a distinct role in Vietnam’s AI landscape:

• Ho Chi Minh City → scale and speed
• Hanoi → research and deep tech
• Da Nang → cost efficiency and retention

Choosing the right location or combining multiple hubs can significantly impact delivery speed, cost structure, and long term scalability.

Best suited for: long term dedicated development teams where operational cost and talent stability are priorities.

Vietnam’s Global AI Standing – Rankings and Benchmarks

For business leaders comparing Vietnam with other AI markets, independent rankings offer useful though not definitive reference points. Together, they show a country moving quickly up the global AI maturity curve.

Global Rankings and Performance Indicators

The World AI Index 2025 ranked Vietnam 6th out of 40 countries, marking its first entry into the global top 10. Vietnam achieved an overall score of 59.2/100, with particularly strong performance in:

• AI trust – 3rd globally (65.6)
• AI adoption and acceptance – 5th globally (71.6)

Meanwhile, Oxford Insights ranked Vietnam 59th globally and 5th in ASEAN for AI readiness in 2023, with steady year over year improvement:

• 51.82 (2021)
• 53.96 (2022)
• 54.48 (2023)

With the introduction of the 2025 AI Law and increased investment, future rankings are expected to reflect a significant upward shift.

Regional Position in Southeast Asia

Within Southeast Asia, Vietnam is emerging as a key AI player:

• Ranked 2nd in AI startup count (after Singapore)
• Home to approximately 1,100 AI focused companies

Notable AI companies include:

• FPT – ~$7.7B market capitalization
• VinAI – AI deployed in 80,000+ vehicles
• Viettel – active in telecom and defense AI
• ELSA – 50M+ users, $60M+ funding

While rankings vary by methodology, the overall trend is clear: Vietnam is transitioning from an emerging AI market to a globally recognized contender. For businesses, this means a more mature ecosystem combining talent, policy support, and growing market depth that can increasingly compete with established AI hubs.

Challenges and Considerations for Business Leaders

A realistic evaluation of Vietnam’s AI ecosystem requires acknowledging its current limitations alongside its strengths. Ignoring these gaps can lead to misaligned expectations and flawed planning.

Senior Talent Scarcity

While Vietnam produces a strong pipeline of junior and mid level engineers, there is still a shortage of:

• Machine learning architects
• Research leads
• Engineers with large scale production experience

At the same time, salaries are increasing by 10–20% annually. Although Vietnam remains cost competitive compared to Western markets, this advantage is gradually narrowing. Businesses planning long term investments should factor wage inflation into multi year budgets.

Infrastructure Maturity

Despite more than $7B in announced data center investments, much of the infrastructure is still under development.

• Current AI workloads rely heavily on foreign cloud providers and GPU infrastructure
• Local high performance computing capacity is still scaling

An additional constraint is energy supply:

• Around 23% of data center providers report limited access to renewable energy as a barrier to expansion

This highlights the importance of aligning AI deployment strategies with infrastructure availability and sustainability considerations.

Regulatory Implementation

Vietnam’s AI Law provides a strong foundation, but detailed implementation guidelines are still evolving.

• Compliance requirements may continue to shift in the near term
• SMEs face barriers to adoption due to cost and skills gaps

From a funding perspective:

• The domestic venture capital ecosystem remains strong at early stages
• However, there is a gap in late stage funding, often requiring companies to seek international investors

Vietnam’s AI ecosystem is still maturing, with clear constraints in senior talent, infrastructure, and regulatory clarity. However, its combination of policy momentum, growing talent supply, and competitive cost structure makes it an increasingly attractive destination especially for organizations willing to bridge gaps through strategic partnerships and long term planning.

Conclusion

Vietnam’s AI ecosystem is built on three mutually reinforcing pillars:

• Policy framework – anchored by one of Asia’s newest AI laws, supported by clear regulatory direction and financial incentives for R&D investment
• Talent pipeline – more than 18,000 AI engineers, strengthened by large scale investment in semiconductor and advanced tech education
• Market momentum – driven by $7B+ in data center commitments and enterprise AI adoption growing at over 26% annually

The ecosystem is now at a critical inflection point. Regulatory foundations are in place, infrastructure is scaling rapidly, and the talent pipeline continues to expand although senior level expertise remains the primary constraint.

For businesses assessing Vietnam as an AI investment destination, the conversation is no longer about readiness. The more relevant question is: how quickly can you position your organization to capitalize on this accelerating ecosystem?

FAQs

Is Vietnam a good destination for AI development and investment?

Yes. Vietnam is increasingly viewed as a strong AI destination due to its supportive government policies, growing talent pool, and rising infrastructure investment, making it attractive for both development and long term investment.

How large is Vietnam’s AI talent pool?

Vietnam has approximately 18,000+ AI engineers, supported by a broader pipeline of tens of thousands of IT graduates each year. However, senior level AI experts remain limited.

What industries are driving AI adoption in Vietnam?

Key sectors include fintech, healthcare, telecommunications, manufacturing, and eCommerce, along with growing demand in enterprise AI and digital transformation initiatives.

How does Vietnam compare to other AI hubs in Southeast Asia?

Vietnam ranks second in AI startup volume after Singapore and is rapidly improving in global AI rankings, with strong growth in both talent and infrastructure.

What are the main challenges of building AI solutions in Vietnam?

The biggest challenges include limited senior talent, evolving regulatory guidelines, infrastructure maturity, and increasing salary costs.

What government policies support AI development in Vietnam?

Vietnam has introduced a comprehensive AI law, strategic technology policies, and financial incentives such as R&D funding and tax benefits to encourage AI innovation and investment.

Are there incentives for foreign companies investing in AI in Vietnam?

Yes. Foreign investors can benefit from tax incentives, partial funding support (up to 50% for R&D projects), and preferential policies in strategic technology sectors.

How mature is Vietnam’s AI infrastructure?

Infrastructure is rapidly improving, with $7B+ in data center investments, but much of it is still under development. Many companies currently rely on global cloud providers.

Which cities are best for AI development in Vietnam?

• Ho Chi Minh City – best for startups and product development
• Hanoi – strong in R&D and deep tech
• Da Nang – cost efficient with high talent retention

What is the future outlook for Vietnam’s AI market?

Vietnam’s AI market is expected to grow rapidly, driven by government support, foreign investment, and increasing enterprise adoption, positioning it as a key AI hub in Southeast Asia.