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

For businesses evaluating where to build or outsource AI capabilities, this matters. Vietnam’s ecosystem has shifted from “emerging” to “investable” in under three years, driven by a convergence of pro-business policy, talent infrastructure, and private-sector capital that few countries in the region can match.

This article maps three pillars driving that shift: policy, people, and market momentum, so decision-makers can assess Vietnam’s AI readiness using current data rather than outdated assumptions. This is a landscape overview, not a guide to selecting a development partner.

AI Policy Landscape – From Strategy to Regulation

Vietnam’s AI policy is not a single document. It is a layered framework built across 2024 and 2025, combining strategic direction, legal regulation, and financial incentives. Understanding these layers helps explain why foreign investors are treating Vietnam differently now than even two years ago.

Resolution 57 and the National AI Ambition

In December 2024, Vietnam designated AI and semiconductors as strategic national priorities through Resolution 57-NQ/TW. The resolution sets explicit targets: top 3 in ASEAN and top 50 globally for AI readiness by 2030.

What makes Resolution 57 operationally significant is its emphasis on mobilizing private-sector resources, not just public funding, and linking digital transformation directly to economic modernization. This is not a technology roadmap in isolation. It is a national commitment that ties AI development to long-term competitiveness.

By June 2025, AI was placed at the top of Vietnam’s official List of Strategic Technologies (Decision No. 1131/QD-TTg). That designation unlocks preferential treatment across licensing, land use, and tax policy for AI-related ventures.

The AI Law – Asia’s Newest Regulatory Framework

Vietnam’s AI law (Law No. 134/2025/QH15), passed in December 2025 and effective from March 2026, gives the country one of the most recent and comprehensive AI regulatory frameworks in Asia.

The law adopts a risk-based classification system: high, medium, and low risk, modeled on principles from the EU AI Act but adapted to local conditions. Key mechanisms include:

• National AI Development Fund to channel public and private capital into AI research

• AI Voucher program designed to lower adoption barriers for small and medium enterprises

• Regulatory sandbox allowing companies to test AI applications under supervised conditions before full compliance is required

For businesses already operating AI systems in Vietnam, the compliance timeline provides runway. Existing systems have until March 2027 to align with the new framework, with extensions to September 2027 for applications in healthcare, education, and finance.

Financial Incentives for AI Investment

Policy without funding is rhetoric. Vietnam has backed its AI ambitions with specific financial commitments.

Under Decree No. 182/2024/ND-CP, qualifying AI and semiconductor R&D projects can receive up to 50% financial support on investment costs, a direct incentive aimed at attracting foreign research operations. Additional tax breaks and special economic zone benefits are available for technology investors.

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

Vietnam’s homepage pitch to international clients often cites “530,000 engineers.” That number is real, but it describes the entire IT workforce. For businesses specifically building AI products, the relevant figures are more granular and more useful.

1. Current AI Workforce by the Numbers

Vietnam has an estimated 18,000+ AI developers, making it the leading supplier of AI-specific engineering talent in Southeast Asia. The broader pipeline feeds this: approximately 70,000 IT graduates enter the workforce each year.

The presence of global R&D operations reinforces the depth of this talent base:

• Samsung operates a research center in Hanoi with 2,400 engineers developing AI-enabled features

• NVIDIA announced its own R&D center in Vietnam in December 2024, citing the country’s STEM talent density as a primary driver

2. Education Pipeline and Institutional Investment

A $240 million investment in AI education (2025–2027) is building institutional capacity, not just training individuals. AI-specific tracks have been added to 15 Vietnamese universities, with a target of producing 5,000 new AI graduates per year by 2028.

A longer-term workforce development program (2025–2045) targets 100,000 ICT professionals annually by 2030, with 15% holding postgraduate degrees. Samsung has separately pledged to help train 50,000 semiconductor engineers by 2030, a pipeline that overlaps significantly with AI hardware and systems work.

3. The Talent Gap – What Businesses Should Know

These numbers describe the pipeline, not the current state of readiness. Demand for AI personnel in Vietnam is forecast to surge 74% between 2025 and 2030, according to Second Talent’s 2025 workforce report.

The critical bottleneck is at the senior level. Vietnam produces strong junior and mid-level engineers, but research leads, ML architects, and senior engineers with production-scale experience remain scarce. Roughly 45% of AI solution providers in Vietnam cite talent shortage as their top operational challenge, per Reeracoen Vietnam’s 2024 hiring survey.

Developer salaries are rising 10–20% annually. Vietnam remains cost-competitive compared to the US and EU markets, but the gap is narrowing, a trend businesses should factor into multi-year budget planning.

Companies navigating this talent landscape often partner with established AI teams in Vietnam to access pre-vetted senior engineers without the typical hiring timeline.

Market Growth – Investment, Revenue, and Infrastructure

Vietnam’s AI market is growing fast, but published estimates vary significantly depending on what is being measured. The most useful approach for business planning is to compare sources side by side.

AI Market Size and Projections

The IMARC figure captures enterprise software spending. Statista’s broader number includes services, hardware, and consumer applications. Deloitte’s $65B projection factors in data center infrastructure and is best treated as a ceiling estimate rather than a baseline.

On the adoption side, approximately 47,000 new enterprises implemented AI solutions in 2024, bringing the total to roughly 170,000 firms using some form of AI.

Startup funding tells a sharper story:

• AI startup investment grew from $10 million in 2023 to $80 million in 2024

• $130 million+ raised in Q1 2025 alone

The Data Center Investment Boom

AI workloads require compute infrastructure, and Vietnam is attracting significant capital to build it. Over $7 billion in AI data center investments have been committed or announced:

• $2B hyperscale facility – G42, Microsoft, FPT, and VinaCapital joint venture in Ho Chi Minh City

• $2B AI data center – Tan Phu Trung Industrial Park

• $1.5B facility – Binh Duong Province

• $1B AI data center network – Create Capital Vietnam and Haimaker.ai

• $200M AI data center – IPTP Networks in Da Nang

Vietnam’s data center market overall is projected to grow from $1.04 billion in 2025 to $3.19 billion by 2031 (CAGR 20.47%), according to Mordor Intelligence.

Foreign Tech Giants Doubling Down

NVIDIA’s Vietnam commitment extends beyond R&D. A $200 million AI Factory, built in partnership with FPT, became operational in November 2024. Samsung is expanding its Vietnam operations into AI and semiconductor manufacturing, adding to its existing $1.8 billion OLED plant and 2,400-engineer R&D center.

Google launched its Vietnam operations in 2025. Meta, Intel, Qualcomm, Foxconn, and Apple have all expanded or announced Vietnam-based investments.

Industry analysts estimate that NVIDIA and Google investments alone could add approximately 1% to Vietnam’s GDP annually over the next decade.

Key AI Hubs – Where Innovation Is Concentrated

Vietnam’s AI activity is not evenly distributed. Three cities account for the vast majority of investment, talent, and infrastructure.

1. Ho Chi Minh City – Startup Capital and Deepest Talent Pool

Ho Chi Minh City is Vietnam’s largest IT hub and home to the country’s densest startup ecosystem, ranked in the top 5 in ASEAN and 110th globally. Quang Trung Software City and Saigon Hi-Tech Park (home to Intel, Samsung, and Nidec facilities) anchor the city’s technology infrastructure.

Best suited for: rapid product development, fintech AI, and high-growth projects requiring the deepest talent pool and most mature vendor ecosystem.

2. Hanoi – Deep Tech and R&D Hub

Hanoi is emerging as a deep tech and R&D hub. NVIDIA’s R&D center, FPT’s $200M AI Factory, and Samsung’s 2,400-engineer research operation are all based here. Hoa Lac Hi-Tech Park is under active development, and a $24 million VC fund launching in late 2025/2026 is targeting AI, semiconductors, and green technology.

Best suited for: research-intensive AI work and semiconductor-adjacent projects.

3. Da Nang – Cost-Efficient With Strong Retention

Da Nang offers a cost-efficient alternative with strong engineer retention rates. The city has risen 130+ positions in global startup hub rankings and is attracting infrastructure investment, including IPTP Networks’ planned $200M AI data center.

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 benchmarking Vietnam against alternatives, third-party rankings provide useful – if imperfect – reference points.

World AI Index 2025 ranked Vietnam 6th out of 40 countries, marking its first appearance in the global top 10. Vietnam scored 59.2 out of 100 overall, with notably strong performance in:

• AI trust: 3rd globally (65.6)

• AI acceptance: 5th globally (71.6)

Oxford Insights placed Vietnam 59th globally and 5th in ASEAN for AI readiness in 2023, with a clear upward trajectory: 51.82 (2021) to 53.96 (2022) to 54.48 (2023). Updated rankings reflecting the 2025 AI Law are expected to show a significant jump.

Within Southeast Asia, Vietnam ranks 2nd for AI startup count (after Singapore), with approximately 1,100 AI-focused companies. Notable Vietnamese AI players include:

• FPT – $7.7B market cap

• VinAI – AI deployed in 80,000+ vehicles

• Viettel – telecommunications and defense AI

• ELSA – 50M+ users, $60M raised for AI-powered language learning

Challenges and Considerations for Business Leaders

An honest assessment of Vietnam’s AI ecosystem requires acknowledging where gaps remain. Overlooking these leads to poor planning.

Senior Talent Scarcity

The junior and mid-level pipeline is strong, but the senior tier, research leads, ML architects, and engineers with production-scale deployment experience, remains thin. With salaries rising 10–20% annually, the cost advantage that initially attracted many foreign firms is eroding. It has not disappeared, but multi-year budgets should account for wage inflation.

Infrastructure Maturity

Despite $7B+ in data center commitments, most facilities are still under construction or in planning stages. Vietnam’s AI computing infrastructure currently relies heavily on foreign cloud and GPU providers.

Green energy supply is an emerging bottleneck: 23% of data center providers cite insufficient renewable energy access as a constraint on scaling, according to a 2024 Vietnam Data Center Association survey.

Regulatory Implementation

The AI Law provides a framework, but detailed implementation guidelines have not yet been issued as of early 2026. SME adoption remains limited, cost and skills barriers keep many smaller firms on the sidelines.

On the funding side, Vietnam’s domestic venture capital ecosystem remains shallow beyond seed and early-stage rounds, creating a late-stage funding gap that pushes growth-stage companies toward foreign capital markets.

Despite these gaps, Vietnam’s combination of strong policy momentum and cost-competitive engineering talent makes it a compelling option for companies building AI-powered software products, especially those willing to invest in senior talent partnerships.

Conclusion

Vietnam’s AI ecosystem rests on three reinforcing pillars:

1. Policy framework that includes Asia’s newest AI law and direct financial incentives for R&D investment

2. Talent pipeline of 18,000+ AI developers backed by $1.08 billion in semiconductor workforce investment

3. Market momentum reflected in $7B+ in data center commitments and enterprise AI growth rates exceeding 26% annually

The ecosystem is at an inflection point. The regulatory framework is in place, infrastructure is being built at scale, and the talent pipeline is expanding, though senior-level capacity remains the binding constraint.

For businesses evaluating Vietnam as an AI investment destination, the question is shifting from “is Vietnam ready?” to “how quickly can we position ourselves to take advantage of what is being built?”

FAQs

1. How many AI engineers does Vietnam currently have?

Vietnam has approximately 18,000+ AI-specific developers, the largest pool in Southeast Asia. The broader IT workforce exceeds 530,000 engineers, with roughly 70,000 new IT graduates entering the market annually. The national target is 8,000 dedicated AI graduates per year by 2030.

2. What is the AI Law that Vietnam passed in 2025?

Vietnam’s AI law (Law No. 134/2025/QH15), passed in December 2025 and effective March 2026, establishes a risk-based classification system for AI applications (high, medium, low risk). It creates a National AI Development Fund, an AI Voucher program for SMEs, and a regulatory sandbox. Existing AI systems have until March 2027 (September 2027 for regulated industries) to comply.

3. How large is Vietnam’s AI market expected to become?

Estimates vary by scope:

• IMARC projects the enterprise AI market reaching $1.83B by 2034 (31% CAGR)

• Statista estimates the broader AI market at $3.78B by 2031 (26% CAGR)

• Deloitte’s long-term projection, including data center infrastructure, reaches $65B by 2035

The practical range for enterprise software planning is $1.8B–$3.8B within the next six to nine years.

4. Which cities in Vietnam are the main AI hubs?

Ho Chi Minh City leads for startups, product development, and the broadest talent pool. Hanoi is the center for deep tech R&D, hosting NVIDIA, FPT, and Samsung research operations. Da Nang offers lower operational costs and strong retention rates, making it suited for long-term dedicated teams.

5. What are the main challenges of building AI teams in Vietnam?

The most cited challenge is senior talent scarcity. Vietnam produces strong junior and mid-level engineers, but experienced ML architects and research leads are in short supply. Developer salaries are rising 10–20% per year, and AI computing infrastructure is still scaling up. Detailed implementation guidelines for the 2025 AI Law are also still pending.