Agriculture Industry Today

Vietnam AI in Agriculture Market Outlook: Trends, Growth, and Future Opportunities 2025-2033

The Vietnam AI in agriculture market size reached USD 8.72 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 43.01 Million by 2033, exhibiting a growth rate (CAGR) of 19.40% during 2025-2033.
Published 19 December 2025

The Vietnam AI in agriculture market size reached USD 8.72 Million in 2024 and is projected to reach USD 43.01 Million by 2033, growing at a CAGR of 19.40% during the forecast period of 2025-2033. Key growth drivers include government digitalization programs, increasing food security needs, climate change challenges, and rising investments in precision farming. Adoption of smart irrigation, pest control, and AI-enabled solutions, supported by a dynamic startup ecosystem, is fueling market expansion.

Study Assumption Years

  • Base Year: 2024
  • Historical Year/Period: 2019-2024
  • Forecast Year/Period: 2025-2033

Vietnam AI in Agriculture Market Key Takeaways

  • The market size was USD 8.72 Million in 2024.
  • The CAGR for the period 2025-2033 is 19.40%.
  • The forecast period spans from 2025 to 2033.
  • Vietnam is rapidly adopting AI-powered precision agricultural technologies, particularly in rice and coffee cultivation.
  • Drones, satellite imaging, and AI sensors are used to monitor soil, crop health, and insect infestations, improving irrigation, fertilization, and pest management.
  • AI-enabled automation is becoming essential amid worsening rural labor shortages, with mobile-based platforms increasing accessibility for small farmers.
  • AI applications in post-harvest processing include grading, sorting, and predictive cold-chain logistics optimization to reduce spoilage and maintain quality standards.

Sample Request Link: https://www.imarcgroup.com/vietnam-ai-in-agriculture-market/requestsample

Market Growth Factors

Vietnam's AI in agriculture market growth is bolstered by government initiatives promoting digitalization and precision farming investments. Climate change impacts and rising food security concerns compel adoption of efficient and sustainable farming methods. Increased financial support and technology collaborations facilitate AI-enabled equipment and solutions in farms, boosting productivity.

The adoption of drones, satellite imagery, and AI-powered sensors supports precision farming by delivering real-time data on soil conditions and pest infestations. This enables optimized irrigation and fertilizer use, reducing input costs and environmental footprints. AI automation addresses labor shortages, making farming operations more efficient and profitable.

Post-harvest AI applications, including machine vision for grading and sorting, minimize human error and standardize quality in fruits, seafood, and coffee. Predictive algorithms improve cold-chain logistics, lowering spoilage and cost. AI-driven market forecasting stabilizes prices and helps exporters align supplies with demand trends, enhancing competitiveness in global markets.

Market Segmentation

Offering Insights:

  • Software: Includes AI software solutions deployed in agricultural practices for monitoring and management.
  • Hardware: Covers AI-powered devices such as drones, sensors, and imaging tools used in farms.
  • AI-as-a-Service: Provides cloud-based AI solutions facilitating easy access for farms of varying sizes.
  • Services: Comprises consulting, implementation, and support services related to AI in agriculture.

Technology Insights:

  • Machine Learning: Algorithms that analyze agricultural data to improve decision-making.
  • Computer Vision: Image processing technology used for crop monitoring, grading, and defect detection.
  • Predictive Analytics: Techniques to forecast crop yields, pest outbreaks, and market demand.

Application Insights:

  • Precision Farming: AI applications optimizing water, fertilizer, and pesticide application.
  • Agriculture Robots: Automated machines performing tasks within agricultural operations.
  • Livestock Monitoring: AI-enabled systems tracking animal health and productivity.
  • Drone Analytics: Use of drones for aerial data collection and crop analysis.
  • Labor Management: AI tools to manage agricultural workforce efficiently.
  • Others: Additional AI applications supporting agriculture.

Regional Insights

The Vietnam AI in agriculture market is segmented into Northern Vietnam, Central Vietnam, and Southern Vietnam. The report provides a comprehensive analysis at the regional level covering market trends and growth prospects, without specifying a dominant region explicitly.

Recent Developments & News

In August 2025, Vietnam emphasized AI in agriculture at the APEC Food Security Ministers’ Meeting held in South Korea. The country presented policies focused on smart farming, digital transformation, and emission reduction to strengthen food security. Initiatives highlighted include a one-million-hectare low-emission rice program and the OCOP scheme, which assists farmers in leveraging e-commerce. Vietnam underscored innovation as key to modernizing agriculture and sustaining growth for its 100 million population.

Key Players

Competitive Landscape

The competitive landscape of the industry has also been examined along with the profiles of the key players.

Customization Note

If you require any specific information that is not covered currently within the scope of the report, we will provide the same as a part of the customization.

About Us

IMARC Group is a global management consulting firm that helps the world’s most ambitious changemakers to create a lasting impact. The company provide a comprehensive suite of market entry and expansion services. IMARC offerings include thorough market assessment, feasibility studies, company incorporation assistance, factory setup support, regulatory approvals and licensing navigation, branding, marketing and sales strategies, competitive landscape and benchmarking analyses, pricing and cost research, and procurement research.

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