Vietnam Machine Learning Market Size, Share, Trends and Forecast by Component, Deployment, Enterprise Size, End Use, and Region, 2025-2033

Vietnam Machine Learning Market Size, Share, Trends and Forecast by Component, Deployment, Enterprise Size, End Use, and Region, 2025-2033

Report Format: PDF+Excel | Report ID: SR112025A42719

Vietnam Machine Learning Market Overview:

The Vietnam machine learning market size reached USD 124.00 Million in 2024. The market is projected to reach USD 1,590.80 Million by 2033, exhibiting a growth rate (CAGR) of 32.78% during 2025-2033. The market is driven by robust government support through the National Strategy for Artificial Intelligence Development with funds allocated for artificial intelligence (AI) initiatives, the dominance of machine learning technology, and strategic international partnerships resulting in a surge in AI investments. Moreover, unprecedented rise in private investments to enhance the is expanding the Vietnam machine learning market share.

Report Attribute 
Key Statistics
Base Year
2024
Forecast Years
2025-2033
Historical Years
2019-2024
Market Size in 2024 USD 124.00 Million
Market Forecast in 2033 USD 1,590.80 Million
Market Growth Rate 2025-2033 32.78%


Vietnam Machine Learning Market Trends:

Government Incentive and National AI Strategy Implementation

The Vietnamese government is emerging as a key driving force behind the machine learning market growth in the country through holistic policy initiatives and major funding investments. Through its National Strategy for Artificial Intelligence Development, the government is investing to fund AI activities, develop infrastructure, and encourage research and development. The proactive policy of the government includes the authorization of regulatory sandboxes for businesses to innovate and experiment on new digital technology products for a duration of two years without being bound by strict legal constraints. Resolution No. 57-NQ/TW, presented in December 2024, defines four pillars spurting digital technology innovation, focusing on flexible governance and comprehensive infrastructure building. These initiatives prove the government's seriousness in changing Vietnam's economy from a low-value manufacturing economy to a high-value, innovation-based digital economy, with machine learning (ML) technologies being key enablers of this change.

ML Pre-eminence in Enterprise Digital Transformation

ML is becoming the leading technology powering Vietnam's digital transformation in various industry verticals, due to its ability to adapt and practicality in the addressing of sophisticated business problems. Such extensive use illustrates the higher capability of ML to learn from data, get better with experience, and prove invaluable in streamlining processes, analyzing big data, and producing predictive insights that optimize operational efficiencies. The technology's supremacy lies in its ability to break language barriers and integrate easily with current business systems, thus being economical for a major portion of Vietnamese enterprises, which are small and medium businesses. Select applications range from predictive analytics for finance and agriculture to automated customer service for retail and smart document processing in manufacturing. The Vietnam machine learning market growth is also supported by the capability of ML to enhance personalized customer experiences, rationalize supply chain management, and facilitate data-driven decision making for enterprises of all sizes.

Surge in Strategic International Partnerships and Investment

Vietnam's machine learning industry is experiencing unprecedented growth through strategic alliances with world-class technology leaders as well as a stunning surge in private investment, making Vietnam a regional AI innovation hub. This is a massive spike that testifies to increased global confidence in the country's innovation and market potential, fueled by Vietnam's highly skilled manpower, pleasant business climate, and strategic geographical position. Large international companies have built sizeable research and development presence in Vietnam. These collaborations enable knowledge exchange, increase speed in developing local talents, and give Vietnamese businesses access to advanced technologies and international markets. Worldwide partnerships also allow Vietnamese ML ventures to tap into global distribution channels, cutting-edge computing facilities, and world-class best practices, producing an effects multiplier that raises the overall competitiveness and development trajectory of the local market.

Vietnam Machine Learning Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country and regional levels for 2025-2033. Our report has categorized the market based on component, deployment, enterprise size, and end use.

Component Insights:

  • Hardware
  • Software
  • Services

The report has provided a detailed breakup and analysis of the market based on component. This includes hardware, software, and services.

Deployment Insights:

  • Cloud-based
  • On premises

A detailed breakup and analysis of the market based on deployment have been provided in the report. This includes cloud-based and on premises.

Enterprise Size Insights:

  • Large Enterprises
  • Small and Medium-sized Enterprises

The report has also provided a comprehensive analysis of the market based on enterprise size. This includes large enterprises and small and medium-sized enterprises.

End Use Insights:

  • Healthcare
  • BFSI
  • Law
  • Retail
  • Advertising and Media
  • Automotive and Transportation
  • Agriculture
  • Manufacturing
  • Others

A detailed breakup and analysis of the market based on end use have been provided in the report. This includes healthcare, BFSI, law, retail, advertising and media, automotive and transportation, agriculture, manufacturing, and others.

Regional Insights:

  • Northern Vietnam
  • Central Vietnam
  • Southern Vietnam

The report has also provided a comprehensive analysis of all the major regional markets, which include Northern Vietnam, Central Vietnam, and Southern Vietnam.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

Vietnam Machine Learning Market News:

  • December 2024: NVIDIA's chief executive officer, Jensen Huang, announced that the company has purchased VinBrain, a start-up from Vingroup that provides medical products utilizing artificial intelligence (AI). The acquisition occurred after NVIDIA reached an agreement with the Vietnamese Government to create two AI research and data centres in Việt Nam on December 5.
  • April 2024: Viettel Group has officially launched the Viettel Hoa Lac Data Center, signifying an important achievement in Vietnam’s digital infrastructure development. Boasting a solid capacity of 30MW, it is the largest data center in the country, highlighting Viettel’s dedication to enhancing technological capabilities.

Vietnam Machine Learning Market Report Coverage:

Report Features Details
Base Year of the Analysis 2024
Historical Period 2019-2024
Forecast Period 2025-2033
Units Million USD
Scope of the Report

Exploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment:

  • Component
  • Deployment
  • Enterprise Size
  • End Use
  • Region
Components Covered Hardware, Software, Services
Deployment Covered Cloud-based, On premises
Enterprise Sizes Covered Large Enterprises, Small and Medium-sized Enterprises
End Uses Covered Healthcare, BFSI, Law, Retail, Advertising and Media, Automotive and Transportation, Agriculture, Manufacturing, Others
Regions Covered Northern Vietnam, Central Vietnam, Southern Vietnam
Customization Scope 10% Free Customization
Post-Sale Analyst Support 10-12 Weeks
Delivery Format PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)


Key Questions Answered in This Report:

  • How has the Vietnam machine learning market performed so far and how will it perform in the coming years?
  • What is the breakup of the Vietnam machine learning market on the basis of component?
  • What is the breakup of the Vietnam machine learning market on the basis of deployment?
  • What is the breakup of the Vietnam machine learning market on the basis of enterprise size?
  • What is the breakup of the Vietnam machine learning market on the basis of end use?
  • What is the breakup of the Vietnam machine learning market on the basis of region?
  • What are the various stages in the value chain of the Vietnam machine learning market?
  • What are the key driving factors and challenges in the Vietnam machine learning market?
  • What is the structure of the Vietnam machine learning market and who are the key players?
  • What is the degree of competition in the Vietnam machine learning market?

Key Benefits for Stakeholders:

  • IMARC's industry report offers a comprehensive quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the Vietnam machine learning market from 2019-2033.
  • The research report provides the latest information on the market drivers, challenges, and opportunities in the Vietnam machine learning market.
  • Porter's five forces analysis assist stakeholders in assessing the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. It helps stakeholders to analyze the level of competition within the Vietnam machine learning industry and its attractiveness.
  • Competitive landscape allows stakeholders to understand their competitive environment and provides an insight into the current positions of key players in the market.

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Vietnam Machine Learning Market Size, Share, Trends and Forecast by Component, Deployment, Enterprise Size, End Use, and Region, 2025-2033
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