The Vietnam AI in agriculture market size was USD 8.72 Million in 2024 and is projected to reach USD 43.01 Million by 2033. The market is expanding at a CAGR of 19.40% during the forecast period of 2025 to 2033. Growth is driven by government digitalization programs, rising food security needs, and increased investments in precision farming, as well as growing demand for yield optimization, smart irrigation, and pest control. 

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, with a forecast to reach USD 43.01 Million by 2033 at a CAGR of 19.40%.
• Government digitalization efforts and climate change impacts are key contributors to market growth.
• Rising food security needs and supportive startup ecosystems enhance AI adoption among farming communities.
• Precision farming, including drone, satellite imaging, and AI sensors, is increasingly used for crop monitoring.
• AI applications in post-harvest processing and supply chain optimization improve export quality and reduce waste.
• Mobile-based platforms will extend AI accessibility to smallholder farmers.

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Market Growth Factors

The adoption of AI in Vietnam's agriculture is significantly propelled by government digital transformation programs aimed at enhancing agricultural efficiency and sustainability. The government’s focus on smart farming aligns with rising food security concerns amid climate change impacts, encouraging investments in precision farming technologies. These developments contribute to the market’s robust expansion projected at a CAGR of 19.40% from 2025 to 2033.

Vietnamese farmers increasingly employ AI-powered precision agricultural tools such as drones, satellite imaging, and sensors to gather real-time data on soil, crops, and pests. These technologies enable optimized irrigation, fertilizer use, and pest control, reducing input costs and environmental impact. The growing use of these data-driven approaches addresses rural labor shortages and increases yield, reinforcing AI's market uptake.

Beyond farm fields, AI is applied extensively in post-harvest processing and supply chain optimization to meet international export quality standards. AI-driven grading, sorting, and machine vision systems minimize human error and ensure product consistency for fruits, seafood, and coffee. Predictive algorithms enhance cold-chain logistics, reducing spoilage. Government emphasis on smart logistics, including smart ports, supports this ecosystem, strengthening Vietnam's competitiveness in global agri-food markets.

Market Segmentation

Offering Insights:

• Software: Includes AI software solutions tailored to agricultural applications, supporting precision farming and automation.
• Hardware: Consists of physical AI-enabled devices such as sensors, drones, and imaging equipment used in farming operations.
• AI-as-a-Service: Cloud-based AI services providing analytics and predictive insights remotely.
• Services: Consulting, implementation, and support services related to AI adoption in agriculture.

Technology Insights:

• Machine Learning: Algorithms to analyze agricultural data for decision-making.
• Computer Vision: Used in grading, sorting, and monitoring crop health.
• Predictive Analytics: Forecasting market trends and optimizing supply chains.

Application Insights:

• Precision Farming: AI technologies for accurate monitoring and management of crops.
• Agriculture Robots: Automated machines aiding in farm tasks.
• Livestock Monitoring: AI systems tracking health and productivity of animals.
• Drone Analytics: Use of aerial data collection for crop analysis.
• Labor Management: AI tools for managing farm labor efficiency.
• Others: Additional AI applications not specified above.

Regional Insights

The Vietnam AI in agriculture market is segmented into Northern Vietnam, Central Vietnam, and Southern Vietnam. Although the report does not specify distinct statistics for these regions, it presents a comprehensive regional analysis covering all three. This regional focus supports understanding market variation within the country.

Recent Developments & News

In August 2025, Vietnam showcased its AI initiatives in agriculture at the APEC Food Security Ministers’ Meeting in South Korea. Policy presentations highlighted smart farming, digital transformation, and emissions reduction strategies to bolster food security. Notable initiatives include a one-million-hectare low-emission rice program and the OCOP scheme, which supports farmers' growth via e-commerce. These efforts reflect Vietnam's commitment to modernizing agriculture and sustaining its population of 100 million.

Competitive Landscape

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

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