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Vietnam AI in Agricultural Drone Swarm Management Market

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    Report

  • 88 Pages
  • October 2025
  • Region: Vietnam
  • Ken Research Private Limited
  • ID: 6209085

Vietnam AI in Agricultural Drone Swarm Management Market valued at USD 8 million, driven by precision agriculture and AI integration for yield optimization and pest control.

The Vietnam AI in Agricultural Drone Swarm Management Market is valued at approximately USD 8 million, based on a five-year historical analysis. This growth is primarily driven by the increasing adoption of precision agriculture techniques, which enhance crop yields and reduce resource wastage. The integration of AI technologies in drone operations has further propelled market expansion, enabling farmers to make data-driven decisions and optimize their agricultural practices. The market is supported by government digitalization programs, rising food security needs, climate change impacts, and increasing investments in precision farming, with a focus on yield optimization, smart irrigation, and pest control.

Key cities such as Ho Chi Minh City and Hanoi dominate the market due to their robust agricultural sectors and technological infrastructure. These urban centers are hubs for innovation and investment, attracting both local and international players in the agricultural technology space. The presence of agricultural cooperatives and research institutions in these cities also fosters collaboration and knowledge sharing, further enhancing market growth.

In 2023, the Vietnamese government implemented the Circular No. 02/2023/TT-BTTTT issued by the Ministry of Information and Communications, which provides a regulatory framework for unmanned aerial vehicles (UAVs), including agricultural drones. This framework establishes guidelines for drone operation, safety standards, and data privacy measures, ensuring that agricultural drone applications are both effective and compliant with national regulations. The initiative is part of a broader strategy to modernize the agricultural sector and improve food security, with compliance requirements including operator licensing, flight zone restrictions, and mandatory insurance for commercial drone operations.

Vietnam AI in Agricultural Drone Swarm Management Market Segmentation

By Type:

The market is segmented into three types of drones: Fixed-wing drones, Multi-rotor drones, and Hybrid drones. Each type serves different agricultural needs based on their operational capabilities and efficiency. Multi-rotor drones are currently dominating the market due to their versatility and ease of use, making them popular among smallholder farmers and agricultural enterprises. Fixed-wing drones, while efficient for larger areas, are less commonly used in smaller farms. Hybrid drones are gaining traction as they combine the benefits of both types.

By End-User:

The end-user segmentation includes Smallholder farmers, Large agricultural enterprises, Agricultural cooperatives, and Drone service providers. Among these, Large agricultural enterprises are leading the market due to their capacity to invest in advanced technologies and scale operations. They utilize drone swarm management for efficient crop monitoring and resource management, which significantly enhances productivity. Smallholder farmers are increasingly adopting these technologies, but their market share remains smaller compared to larger enterprises.

Vietnam AI in Agricultural Drone Swarm Management Market Competitive Landscape

The Vietnam AI in Agricultural Drone Swarm Management Market is characterized by a dynamic mix of regional and international players. Leading participants such as XAG Co., Ltd., DJI Technology Co., Ltd., DigiDrone Vietnam, HLD Vietnam Technology JSC, Parrot Drones S.A., Yuneec International Co., Ltd., senseFly SA, AgEagle Aerial Systems Inc., PrecisionHawk Inc., AeroVironment, Inc., Skydio, Inc., Delair Tech SAS, DroneDeploy, Inc., Quantum Systems GmbH, Wingtra AG, Sentera, Inc., Raptor Maps, Inc., Aerialtronics B.V. contribute to innovation, geographic expansion, and service delivery in this space.

Vietnam AI in Agricultural Drone Swarm Management Market Industry Analysis

Growth Drivers

Increasing Demand for Precision Agriculture:

The Vietnamese agricultural sector is increasingly adopting precision agriculture techniques, driven by a need to enhance crop yields and reduce resource wastage. In future, the country aims to increase its agricultural productivity by 20%, supported by the integration of AI and drone technologies. The World Bank reports that precision agriculture can improve yields by up to 30%, making it a critical driver for the adoption of drone swarm management systems in Vietnam.

Government Support for Agricultural Modernization:

The Vietnamese government has allocated approximately USD 1.5 billion for agricultural modernization initiatives in future. This funding is aimed at promoting advanced technologies, including AI and drone applications, to enhance productivity and sustainability. The Ministry of Agriculture and Rural Development has set a target to have 50% of farms utilizing modern technology by future, creating a favorable environment for drone swarm management solutions.

Advancements in Drone Technology:

The rapid evolution of drone technology is a significant growth driver in Vietnam's agricultural sector. In future, the country is expected to see a 40% increase in the number of agricultural drones deployed, thanks to improvements in battery life, payload capacity, and AI integration. These advancements enable farmers to conduct more efficient monitoring and management of crops, thereby enhancing the appeal of drone swarm management systems.

Market Challenges

Regulatory Hurdles in Drone Operations:

The regulatory landscape for drone operations in Vietnam remains complex, posing challenges for widespread adoption. As of future, the Civil Aviation Authority of Vietnam has issued over

200 licenses for drone operations, but many farmers remain unaware of these regulations. This lack of clarity can hinder the implementation of drone swarm management systems, limiting their potential benefits in the agricultural sector.

High Initial Investment Costs:

The initial investment required for drone swarm management systems can be a significant barrier for many Vietnamese farmers. In future, the average cost of a drone system, including software and training, is estimated to be around USD 10,000. This high upfront cost can deter smallholder farmers, who make up approximately 70% of the agricultural workforce, from adopting these advanced technologies, thereby slowing market growth.

Vietnam AI in Agricultural Drone Swarm Management Market Future Outlook

The future of the Vietnam AI in Agricultural Drone Swarm Management Market appears promising, driven by technological advancements and increasing government support. As farmers become more aware of the benefits of precision agriculture, the adoption of drone technologies is expected to rise significantly. Additionally, the integration of AI and IoT will enhance data analytics capabilities, allowing for more informed decision-making. This trend will likely lead to improved crop management and sustainability practices across the agricultural sector, fostering a more resilient food system.

Market Opportunities

Expansion of Smart Farming Practices:

The growing trend towards smart farming presents a significant opportunity for drone swarm management systems. With an estimated 30% of Vietnamese farmers planning to adopt smart farming technologies by future, there is a substantial market for integrated drone solutions that enhance operational efficiency and crop monitoring.

Integration with IoT and AI Technologies:

The convergence of IoT and AI technologies with agricultural drones offers a unique opportunity for innovation. By future, the market for IoT in agriculture is projected to reach USD 1 billion in Vietnam, creating demand for drone solutions that leverage real-time data analytics and automated decision-making, thereby improving overall farm productivity.

Table of Contents

1. Vietnam AI in Agricultural Drone Swarm Management Market Overview
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview
2. Vietnam AI in Agricultural Drone Swarm Management Market Size (in USD Bn), 2019-2024
2.1. Historical Market Size
2.2. Year-on-Year Growth Analysis
2.3. Key Market Developments and Milestones
3. Vietnam AI in Agricultural Drone Swarm Management Market Analysis
3.1. Growth Drivers
3.1.1. Increasing demand for precision agriculture
3.1.2. Government support for agricultural modernization
3.1.3. Advancements in drone technology
3.1.4. Rising labor costs in agriculture
3.2. Restraints
3.2.1. Regulatory hurdles in drone operations
3.2.2. High initial investment costs
3.2.3. Limited awareness among farmers
3.2.4. Data privacy and security concerns
3.3. Opportunities
3.3.1. Expansion of smart farming practices
3.3.2. Integration with IoT and AI technologies
3.3.3. Partnerships with agricultural cooperatives
3.3.4. Development of customized drone solutions
3.4. Trends
3.4.1. Increasing adoption of autonomous drones
3.4.2. Growth of data analytics in agriculture
3.4.3. Focus on sustainable farming practices
3.4.4. Rise of drone-as-a-service models
3.5. Government Regulation
3.5.1. Drone operation licensing requirements
3.5.2. Safety regulations for agricultural drones
3.5.3. Environmental impact assessments
3.5.4. Subsidies for drone technology adoption
3.6. SWOT Analysis
3.7. Stakeholder Ecosystem
3.8. Competition Ecosystem
4. Vietnam AI in Agricultural Drone Swarm Management Market Segmentation, 2024
4.1. By Type (in Value %)
4.1.1. Fixed-wing drones
4.1.2. Multi-rotor drones
4.1.3. Hybrid drones
4.1.4. Others
4.2. By End-User (in Value %)
4.2.1. Smallholder farmers
4.2.2. Large agricultural enterprises
4.2.3. Agricultural cooperatives
4.2.4. Drone service providers
4.3. By Application (in Value %)
4.3.1. Crop monitoring
4.3.2. Pest control
4.3.3. Irrigation management
4.3.4. Soil analysis
4.3.5. Fertilizer and seed spreading
4.4. By Distribution Channel (in Value %)
4.4.1. Direct sales
4.4.2. Online platforms
4.4.3. Distributors and resellers
4.4.4. Agricultural cooperatives and associations
4.5. By Payload Capacity (in Value %)
4.5.1. Light payload drones
4.5.2. Medium payload drones
4.5.3. Heavy payload drones
4.6. By Investment Source (in Value %)
4.6.1. Private investments
4.6.2. Government funding
4.6.3. International grants
4.6.4. Corporate partnerships
5. Vietnam AI in Agricultural Drone Swarm Management Market Cross Comparison
5.1. Detailed Profiles of Major Companies
5.1.1. XAG Co., Ltd.
5.1.2. DJI Technology Co., Ltd.
5.1.3. DigiDrone Vietnam
5.1.4. HLD Vietnam Technology JSC
5.1.5. Parrot Drones S.A.
5.2. Cross Comparison Parameters
5.2.1. Revenue
5.2.2. Market Penetration Rate
5.2.3. Customer Retention Rate
5.2.4. Product Innovation Rate
5.2.5. Operational Efficiency
6. Vietnam AI in Agricultural Drone Swarm Management Market Regulatory Framework
6.1. Compliance Requirements and Audits
6.2. Certification Processes
7. Vietnam AI in Agricultural Drone Swarm Management Market Future Size (in USD Bn), 2025-2030
7.1. Future Market Size Projections
7.2. Key Factors Driving Future Market Growth
8. Vietnam AI in Agricultural Drone Swarm Management Market Future Segmentation, 2030
8.1. By Type (in Value %)
8.2. By End-User (in Value %)
8.3. By Application (in Value %)
8.4. By Distribution Channel (in Value %)
8.5. By Payload Capacity (in Value %)
8.6. By Investment Source (in Value %)

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • XAG Co., Ltd.
  • DJI Technology Co., Ltd.
  • DigiDrone Vietnam
  • HLD Vietnam Technology JSC
  • Parrot Drones S.A.
  • Yuneec International Co., Ltd.
  • senseFly SA
  • AgEagle Aerial Systems Inc.
  • PrecisionHawk Inc.
  • AeroVironment, Inc.
  • Skydio, Inc.
  • Delair Tech SAS
  • DroneDeploy, Inc.
  • Quantum Systems GmbH
  • Wingtra AG
  • Sentera, Inc.
  • Raptor Maps, Inc.
  • Aerialtronics B.V.