The Vietnam AI in Agriculture Market size was valued at USD 8.72 Million in 2024 and is forecasted to reach USD 43.01 Million by 2033. The market is expected to witness a CAGR of 19.40% during the forecast period 2025-2033. Key growth drivers include government digitalization programs, rising food security needs, climate change impacts, and increased investments in precision farming, driving 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 reached USD 8.72 Million in 2024.

• The market is projected to grow at a CAGR of 19.40% between 2025 and 2033.

• By 2033, the market size is forecasted to be USD 43.01 Million.

• Precision farming and smart crop management technologies, especially for rice and coffee, are rapidly adopted using AI-powered drones, sensors, and satellite imaging.

• AI applications in post-harvest processing and supply chain optimization are increasing, including grading, sorting, machine vision, and predictive logistics.

• Government focus on smart logistics and smart ports is fostering an ecosystem connecting farms, processors, and distributors.

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Market Growth Factors

Vietnam's AI in agriculture market is propelled by government digitalization initiatives aimed at transforming traditional agriculture through technology adoption. The government's push facilitates collaborations with technology firms to provide affordable AI solutions especially to small and medium-sized farms, enhancing yield optimization and reducing input costs. The Vietnam AI in Agriculture market benefits from rising food security demands, climate change challenges impacting farming conditions, and increased investments in precision farming techniques.

Precision farming technologies integrating AI such as drones, satellite imaging, and AI-powered sensors help farmers monitor soil health, crop conditions, and pest infestations in real-time. This real-time data empowers precise management of irrigation, fertilizers, and pest controls, leading to enhanced agricultural yields and sustainability. The sector also sees a shift towards mobile-based platforms democratizing AI analytics access for smallholders, looking to address labor shortages through automation.

AI’s expansion in post-harvest processing and supply chain stages is crucial in maintaining quality standards for Vietnam's significant agricultural exports. AI-powered grading and sorting reduce human error and improve product consistency for fruits, seafood, and coffee. Machine vision detects defects, while predictive algorithms optimize cold-chain logistics to minimize spoilage of perishables like dragon fruit and shrimp. Government emphasis on smart ports and logistics further strengthens Vietnam’s competitive stance in global agri-food markets.

Market Segmentation

Offering Insights:

• Software: Includes AI solutions and applications designed to support farming operations, data analytics, and farm management.

• Hardware: Comprises devices such as drones, sensors, and imaging equipment that collect agricultural data.

• AI-as-a-Service: Cloud-based AI services offering scalable and accessible AI technologies for agriculture.

• Services: Encompasses consulting, implementation, and maintenance services supporting AI adoption in agriculture.

Technology Insights:

• Machine Learning: Used to analyze agricultural data for predictive insights, crop health, and yield forecasting.

• Computer Vision: Applied in image-based crop monitoring, grading, sorting, and defect detection.

• Predictive Analytics: Employed for forecasting market trends, demand, and optimizing supply chains.

Application Insights:

• Precision Farming: Utilization of AI for optimized irrigation, fertilizer, and pest control.

• Agriculture Robots: AI-driven robots assisting in farming operations.

• Livestock Monitoring: Monitoring animal health and conditions using AI.

• Drone Analytics: Use of drones coupled with AI for aerial surveillance and data collection.

• Labor Management: AI technologies improving workforce management and operational efficiency.

• Others: Includes various AI applications not categorized above.

Regional Insights

The Vietnam AI in agriculture market is comprehensively analyzed across Northern Vietnam, Central Vietnam, and Southern Vietnam. Although specific statistics are not provided distinguishing the dominant region or market shares, the segmentation covers all major regions confirming widespread adoption and market presence across the country.

Recent Developments & News

In August 2025, Vietnam spotlighted AI in agriculture at the APEC Food Security Ministers’ Meeting in South Korea. The country presented progressive policies addressing smart farming, digital transformation, and emissions reduction targeted at enhancing food security. Key initiatives include a one-million-hectare low-emission rice program and the OCOP scheme aimed at supporting farmers’ expansion through e-commerce platforms. Vietnam underscored innovation as essential for modernizing agriculture and ensuring sustainable growth for its 100 million population.

Competitive Landscape

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

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