Vietnam Artificial Intelligence Market Outlook to 2030
By Technology, By Deployment Model, By Industry Vertical, By Enterprise Size, By Region
Report Overview
Report Code
TDR0400
Coverage
Asia
Published
December 2025
Pages
80
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Report Overview
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Report Coverage
Verified Market Sizing
Multi-layer forecasting with historical data and 5–10 year outlook
Deep-Dive Segmentation
Cross-sectional analysis by product type, end user, application and region
Competitive Benchmarking & Positioning
Market share, operating model, pricing and competition matrices
Actionable Insights & Risk Assessment
High-growth white spaces, underserved segments, technology disruptions and demand inflection points
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Executive Summary
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Table of Contents
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4.1 Delivery Model Analysis for AI Solutions-On-Premise, Cloud, Hybrid, Edge [Margins, Preference, Strength & Weakness]
4.2 Revenue Streams for Vietnam AI Market [Licensing, SaaS Subscriptions, Consulting, Custom AI Models, AI-as-a-Service]
4.3 Business Model Canvas for Vietnam AI Market [Key Partners, Key Activities, Value Propositions, Customer Segments, Cost Structure, Revenue Streams]
5.1 Local Players vs Global Vendors [FPT vs AWS/Google Cloud etc.]
5.2 Investment Model in Vietnam AI Market [Government Grants, VC Funding, PE Investments, Corporate Venturing]
5.3 Comparative Analysis of AI Adoption in Public vs Private Organizations [Procurement Models, Use Cases, ROI Benchmarks]
5.4 AI Budget Allocation by Enterprise Size [Large Enterprises, SMEs, Startups]
8.1 Revenues (Historical Trend)
9.1 By Market Structure (In-House AI Teams vs Outsourced AI Services)
9.2 By Technology (Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI)
9.3 By Industry Verticals (BFSI, IT & Telecom, Manufacturing, Healthcare, Retail, Public Sector)
9.4 By Enterprise Size (Large Enterprises, Medium Enterprises, SMEs)
9.5 By Use Case/Function (Customer Service, Fraud Analytics, Predictive Maintenance, OCR/eKYC, Recommendation Systems)
9.6 By Deployment Mode (Public Cloud, Private Cloud, On-Premise, Edge)
9.7 By Open vs Customized AI Solutions
9.8 By Region (Northern Vietnam, Southern Vietnam, Central Vietnam, Mekong Delta)
10.1 Corporate & Institutional Client Landscape and Cohort Analysis
10.2 AI Adoption Drivers & Decision-Making Process
10.3 AI Effectiveness & ROI Analysis
10.4 Gap Analysis Framework
11.1 Trends & Developments in Vietnam AI Market
11.2 Growth Drivers for Vietnam AI Market
11.3 SWOT Analysis for Vietnam AI Market
11.4 Issues & Challenges for Vietnam AI Market
11.5 Government Regulations for Vietnam AI Market
12.1 Market Size and Future Potential for Cloud-Based AI in Vietnam
12.2 Business Models & Revenue Streams [AI-as-a-Service, API Billing, Model Licensing]
12.3 Delivery Models & AI Applications Offered [SaaS AI Tools, Cloud GPU Instances, Pre-Trained Models]
15.1 Market Share of Key Players in Vietnam AI Market (By Revenues)
15.2 Benchmark of Key Competitors [Company Overview, USP, Business Strategies, Business Model, Number of Engineers, Revenues, Pricing Models, Technology Used, Best-Selling AI Solutions, Major Clients, Strategic Tie-ups, Marketing Strategy, Recent Developments]
15.3 Operating Model Analysis Framework
15.4 Gartner Magic Quadrant for AI Providers
15.5 Bowman’s Strategic Clock for Competitive Advantage
16.1 Revenues (Projections)
17.1 By Market Structure (In-House and Outsourced AI Services)
17.2 By Technology (Machine Learning, Deep Learning, NLP, CV, Generative AI)
17.3 By Industry Verticals (BFSI, IT, Manufacturing, Healthcare, Retail, Public Sector)
17.4 By Enterprise Size (Large Enterprises, Medium-Sized Enterprises, SMEs)
17.5 By Use Case/Function (Customer Service, Fraud, Predictive Maintenance, OCR/eKYC, Recommender Systems)
17.6 By Deployment Mode (Cloud, On-Premise, Edge)
17.7 By Open vs Customized Programs
17.8 By Region (Northern, Southern, Central, Mekong Delta)
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Research Methodology
Step 1: Ecosystem Creation
Map the ecosystem and identify all the demand-side (BFSI, telecom, manufacturing, healthcare, retail & e-commerce, government, smart cities) and supply-side (domestic tech firms such as FPT, Viettel, VNPT, VinAI, VNG, CMC, Rikkeisoft, TMA Solutions; global providers including AWS, Microsoft, Google Cloud, NVIDIA, Qualcomm) entities for the Vietnam Artificial Intelligence Market. Based on this ecosystem, we will shortlist leading 5–6 AI providers in the country by evaluating their financial information, market reach, and client base. Sourcing is conducted through industry articles, government portals, and proprietary databases to perform desk research around the market and collate industry-level information.
Step 2: Desk Research
Subsequently, we engage in an exhaustive desk research process by referencing diverse secondary and proprietary databases. This approach enables us to conduct a thorough analysis of the market, aggregating industry-level insights. We delve into aspects like the market revenues attributable to AI, number of AI solution providers, demand pipelines, and infrastructure availability. We supplement this with detailed examinations of company-level data, relying on press releases, financial statements, investor reports, government disclosures, and official filings. This process aims to construct a foundational understanding of the Vietnam AI market and the entities operating within it.
Step 3: Primary Research
We initiate a series of in-depth interviews with C-level executives and stakeholders representing various Vietnam AI companies and enterprise adopters. This process serves multiple purposes: to validate market hypotheses, authenticate statistical data, and extract operational and financial insights. A bottom-to-top approach is undertaken to evaluate revenue contributions for each player, thereby aggregating to the overall market. As part of our validation strategy, our team executes disguised interviews, approaching companies as potential clients. This enables us to validate operational and financial information shared by executives, corroborating this data against what is available in secondary sources. These interactions also provide a comprehensive understanding of revenue streams, value chains, processes, pricing, compliance readiness, and infrastructure constraints.
Step 4: Sanity Check
A bottom-to-top and top-to-bottom analysis along with market size modeling exercises is undertaken to assess the sanity of the process. This triangulation ensures that revenue estimates align with macro indicators such as ICT spending, data-center build-outs, and AI program budgets in BFSI, telecom, and government. Any outliers are stress-tested through expert validation, ensuring a robust and accurate market representation.
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Frequently Asked Questions
01 What is the potential for the Vietnam Artificial Intelligence Market?
The Vietnam Artificial Intelligence Market is demonstrating strong potential, valued at USD 544.26 million in 2023 (Credence Research). Growth is being driven by the government’s National Digital Transformation Program, the increasing digitization of BFSI, telecom, healthcare, and manufacturing, as well as a surge in AI-focused investments. With a population of over 100.9 million and GDP of USD 409 billion (World Bank, 2023), Vietnam offers a significant base for data generation, enterprise adoption, and public-sector AI applications. The potential is further enhanced by initiatives to develop Vietnamese language large models and smart city projects in Hanoi and Ho Chi Minh City.
02 Who are the Key Players in the Vietnam Artificial Intelligence Market?
The Vietnam Artificial Intelligence Market features several leading players including FPT Corporation (FPT AI), Viettel Group (Viettel AI), VNPT AI, VinAI (Vingroup), and VNG Corporation (Zalo AI). These domestic leaders dominate through strong government partnerships, localized AI solutions, and extensive client bases. Other notable players include VinBrain, CMC Corporation, Rikkeisoft, and Trusting Social. International providers such as NVIDIA, Microsoft, Google Cloud, AWS, and Qualcomm are also key participants, offering AI infrastructure, cloud services, and advanced hardware that complement domestic solutions.
03 What are the Growth Drivers for the Vietnam Artificial Intelligence Market?
Key growth drivers include the scale of Vietnam’s digital economy, which accounted for over USD 30 billion in 2023 (World Bank, 2023), providing fertile ground for AI adoption. The country’s rapid cashless transaction growth—with the State Bank of Vietnam reporting more than 17 billion transactions in 2023—creates vast real-time datasets essential for AI in finance and retail. Additionally, Vietnam’s status as a leading electronics exporter valued at over USD 135 billion (World Bank, 2023) supports AI integration in manufacturing, logistics, and quality control. Government-backed data localization and AI policy frameworks further strengthen adoption momentum.
04 What are the Challenges in the Vietnam Artificial Intelligence Market?
The Vietnam AI market faces challenges including a shortage of advanced AI talent, as fertility declines and skill pipelines tighten in major cities (Ho Chi Minh City fertility at 1.39 births per woman, National Assembly, 2023). Data regulations add another barrier: Decree 13/2023/ND-CP requires firms transferring personal data abroad to file assessments, complicating cross-border AI model training. Additionally, the Cybersecurity Law (Decree 53/2022) enforces local storage of certain user data, raising infrastructure costs for global cloud vendors. These factors—talent scarcity, compliance burdens, and infrastructure gaps—pose hurdles to AI scalability and rapid enterprise adoption.
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