Market Overview
The Vietnam AI in Agriculture market size was valued at USD 8.72 Million in 2024 and is projected to reach USD 43.01 Million by 2033. Over the forecast period of 2025-2033, the market is expected to grow at a CAGR of 19.40%. Growth is driven by government digitalization programs, rising food security concerns, climate change impacts, and increased investments in precision farming, which foster AI adoption among farming communities in Vietnam.
Study Assumption Years
- Base Year: 2024
- Historical Year/Period: 2019-2024
- Forecast Year/Period: 2025-2033
Vietnam AI in Agriculture Market Key Takeaways
- The Vietnam AI in Agriculture market size was USD 8.72 Million in 2024.
- The market is expected to grow at a CAGR of 19.40% during 2025-2033 with a forecast size of USD 43.01 Million by 2033.
- Government digitalization initiatives and rising food security needs are key growth drivers.
- Precision farming technologies, especially in rice and coffee production, are increasingly adopted.
- AI-powered solutions for post-harvest processing and supply chain optimization are gaining traction.
- Mobile-based platforms are expanding AI accessibility for smallholder farmers.
- The government’s focus on smart logistics augments integration across agricultural stakeholders.
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Market Growth Factors
Vietnam's AI in agriculture market growth is strongly influenced by the government's digital transformation programs aimed at boosting agricultural productivity and sustainability. These initiatives address the pressing need to ensure food security and adapt to climate change effects, which are crucial factors shaping the market. The adoption of AI enables better management of crop health, irrigation, fertilizer application, and pest control, resulting in higher yields and cost reductions.
The market benefits from a robust startup ecosystem supporting AI solutions tailored for small and medium farms. Technologies such as drones, satellite imaging, and AI-powered sensors facilitate real-time monitoring of soil and crop conditions. This shift toward precision farming enhances operational efficiency and environmental sustainability, reducing reliance on traditional, less precise farming methods.
Beyond cultivation, AI plays an essential role in post-harvest processing and supply chain logistics. AI-driven grading, sorting, and defect detection technologies improve product quality and consistency, minimizing human error. Predictive analytics optimize cold-chain logistics to reduce spoilage, while market forecasting algorithms assist exporters in aligning supply with global demand trends, enhancing Vietnam's competitiveness in agri-food exports.
Market Segmentation
- Offering Insights:
- Software: AI software solutions that aid in precision farming, crop monitoring, and analytics.
- Hardware: Physical devices such as drones, sensors, and imaging equipment integrated with AI.
- AI-as-a-Service: Cloud-based AI platforms offering scalable agricultural analytics.
- Services: Consulting, implementation, and support services related to AI in agriculture.
- Technology Insights:
- Machine Learning: Algorithms that improve farming decision-making using data patterns.
- Computer Vision: Visual data processing for crop health, pest detection, and grading.
- Predictive Analytics: Forecasting tools for yield, weather, pest outbreaks, and market demand.
- Application Insights:
- Precision Farming: Data-driven farming techniques optimizing input use and crop yield.
- Agriculture Robots: Automated machinery performing farm operations.
- Livestock Monitoring: AI systems tracking animal health and behavior.
- Drone Analytics: UAV-based assessment of crop and soil conditions.
- Labor Management: Tools optimizing farm workforce efficiency.
- Others: Additional AI applications relevant to agriculture.
Regional Insights
Northern Vietnam, Central Vietnam, and Southern Vietnam are the major regional markets covered. The report does not specify which region dominates, nor does it provide distinct regional statistics such as market share or CAGR for these regions. Thus, detailed regional dominance data is not provided in the source.
Recent Developments & News
In August 2025, Vietnam showcased its AI in agriculture advancements at the APEC Food Security Ministers’ Meeting in South Korea. The country presented strategic policies on smart farming, digital transformation, and emissions reduction to enhance national food security. Key initiatives include a one-million-hectare low-emission rice cultivation program and the OCOP scheme, which supports farmers in expanding their reach through e-commerce platforms. These efforts emphasize innovation as central to modernizing Vietnam’s agriculture sector to sustainably support its population of 100 million.
Key Players
Competitive Landscape
The competitive landscape of the industry has also been examined along with the profiles of the key players.
Customization Note
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