Product Code: GVR-1-68038-271-6
Agriculture Drones Market Growth & Trends:
The global agriculture drones market size is expected to reach USD 10.26 billion by 2030, registering a CAGR of 25.0% from 2025 to 2030, according to a new report by Grand View Research, Inc. Agriculture drones equipped with various sensors, including multispectral and thermal cameras, can capture detailed data about crop health, moisture levels, and pest infestations. This data lets farmers decide precisely where and when to apply water, fertilizers, and pesticides. By identifying specific areas of a field that require attention, drones enable targeted interventions, reducing the need for blanket treatments Blanket treatment refers to applying a treatment, such as pesticides or fertilizers, uniformly or indiscriminately across an entire area or field without considering specific variations or needs within that area. Thus, the use of agricultural drones in reducing blanket treatment offers a more targeted, efficient, and sustainable approach to farming by minimizing input usage and environmental impact while optimizing crop health and yield.
Integrating agriculture drones with other precision agriculture technologies, such as global positioning system (GPS), geographic information system (GIS), and data analytics, allows seamless collaboration and enhances the effectiveness of precision farming practices. By combining data collected by drones, including field mapping, crop health, crop damage assessment, etc., with other source of information such as satellite imagery, weather data, and historical crop data, farmers can gain a comprehensive understanding of their fields. Drone imagery can be processed and analyzed using specialized software to generate vegetation indices, heat maps, and 3D models. For instance, Pix4D SA offers cloud-based software that allows users to process and analyze drone imagery to create vegetation indices, heat maps, and 3D models. Integrating drone data with precision agriculture technologies significantly enhances the effectiveness and efficiency of precision farming techniques.
Furthermore, integrating machine learning (ML) and artificial intelligence (AI) in agriculture drone systems enhances operations and reduces costs. By leveraging AI and ML algorithms, farmers can analyze drone-collected data to monitor crop health, detect diseases, optimize resource allocation, and make data-driven decisions. This integration enables precision agriculture, variable rate application, autonomous operations, weed and pest management, and predictive analytics, enhancing efficiency, sustainability, and overall productivity in the agriculture industry.
The pandemic had a negative impact on the agriculture drones market. The COVID-19 pandemic brought significant economic uncertainty across various industries, including agriculture. Farmers and the agricultural industry faced financial challenges due to market disruptions, supply chain issues, and fluctuating commodity prices. In such an uncertain economic environment, many farmers became cautious about investing significantly in new technologies like agriculture drones. Instead of allocating resources to technology adoption, they often prioritized financial stability and managing immediate operational concerns. This cautious approach led to a slowdown in adopting agriculture drones as the focus shifted away from long-term technological advancements.
The market providers have adopted several latest trends to enhance their operations and meet the growing demand for efficient agriculture drones. Agriculture drone providers are incorporating advanced imaging technologies such as multispectral and hyperspectral sensors, thermal cameras, and LiDAR (Light Detection and Ranging) systems. For instance, in April 2023, Sentera announced that its high-quality multispectral 6X Sensor, designed specifically for agricultural applications, is now fully compatible with the Astro drone manufactured by Freefly Systems, an American UAV manufacturer. This compatibility enables users to effortlessly combine the 6X Sensor with the Astro drone, enabling the gathering of precise multispectral agricultural data and streamlining decision-making processes for increased efficiency and effectiveness.
Agriculture Drones Market Report Highlights:
- Based on type, the market is segmented into fixed wing and rotary wing. The rotary wing segment dominated the market with a revenue share of 62.1% in 2024. The expansion of smart farming ecosystems is propelling the growth of the rotary wing segment.
- Based on component, the market is segmented into hardware, software, and services. The hardware segment dominated the market with a revenue share of 50.0% in 2024. The growing demand for longer flight times and increased payload capacities drive the segment growth.
- Based on the farming environment, the component is divided into indoor farming and outdoor farming. The outdoor farming segment dominated the market in terms of revenue, with a revenue share of 82.5% in 2024.
- Based on application, the market is segmented into crop management, field mapping, crop spraying, livestock monitoring, variable rate application (VRA), and others.
- North America agriculture drones market held a significant share of around 33.7% in 2024. The growing popularity of remote sensing technologies is a key factor influencing the agriculture drone market.
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation and Scope
- 1.2. Research Methodology
- 1.2.1. Information Procurement
- 1.3. Information or Data Analysis
- 1.4. Methodology
- 1.5. Research Scope and Assumptions
- 1.6. Market Formulation & Validation
- 1.7. Country Based Segment Share Calculation
- 1.8. List of Data Sources
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.3. Competitive Insights
Chapter 3. Agriculture Drones Market Variables, Trends, & Scope
- 3.1. Market Lineage Outlook
- 3.2. Market Dynamics
- 3.2.1. Market Driver Analysis
- 3.2.2. Market Restraint Analysis
- 3.2.3. Component Challenge
- 3.3. Agriculture Drones Market Analysis Tools
- 3.3.1. Component Analysis - Porter's
- 3.3.1.1. Bargaining power of the suppliers
- 3.3.1.2. Bargaining power of the buyers
- 3.3.1.3. Threats of substitution
- 3.3.1.4. Threats from new entrants
- 3.3.1.5. Competitive rivalry
- 3.3.2. PESTEL Analysis
- 3.3.2.1. Political landscape
- 3.3.2.2. Economic and social landscape
- 3.3.2.3. Technological landscape
Chapter 4. Agriculture Drones Market Type Outlook
- 4.1. Agriculture Drones Market, By Type Analysis & Market Share, 2024 & 2030
- 4.2. Fixed Wing
- 4.2.1. Fixed wing market estimates and forecasts, 2017 - 2030 (USD Million)
- 4.3. Rotary Wing
- 4.3.1. Rotary wing market estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 5. Agriculture Drones Market Component Outlook
- 5.1. Agriculture Drones Market, By Component Analysis & Market Share, 2024 & 2030
- 5.2. Hardware
- 5.2.1. Hardware market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.2.1.1. Frames
- 5.2.1.1.1. Frames market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.2.1.2. Flight Control Systems
- 5.2.1.2.1. Flight control systems market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.2.1.3. Navigation Systems
- 5.2.1.3.1. Navigation systems market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.2.1.4. Propulsion Systems
- 5.2.1.4.1. Propulsion systems market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.2.1.5. Cameras
- 5.2.1.5.1. Cameras market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.2.1.6. Sensors
- 5.2.1.6.1. Sensors market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.2.1.7. Others
- 5.2.1.7.1. Others market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.3. Software
- 5.3.1. Software market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.4. Services
- 5.4.1. Services market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.4.1.1. Professional Services
- 5.4.1.1.1. Professional services market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.4.1.2. Managed Services
- 5.4.1.2.1. Managed services market estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 6. Agriculture Drones Market Farming Environment Outlook
- 6.1. Agriculture Drones Market, By Farming Environment Analysis & Market Share, 2024 & 2030
- 6.2. Indoor Farming
- 6.2.1. Indoor farming market estimates and forecasts, 2017 - 2030 (USD Million)
- 6.3. Outdoor Farming
- 6.3.1. Outdoor farming market estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 7. Agriculture Drones Market Application Outlook
- 7.1. Agriculture Drones Market, By Farming Environment Analysis & Market Share, 2024 & 2030
- 7.2. Crop Management
- 7.2.1. Crop management market estimates and forecasts, 2017 - 2030 (USD Million)
- 7.3. Field Mapping
- 7.3.1. Field mapping market estimates and forecasts, 2017 - 2030 (USD Million)
- 7.4. Crop Spraying
- 7.4.1. Crop spraying market estimates and forecasts, 2017 - 2030 (USD Million)
- 7.5. Livestock Monitoring
- 7.5.1. Livestock monitoring market estimates and forecasts, 2017 - 2030 (USD Million)
- 7.6. Variable Rate Application (VRA)
- 7.6.1. Variable rate application (VRA) market estimates and forecasts, 2017 - 2030 (USD Million)
- 7.7. Others
- 7.7.1. Others market estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 8. Agriculture Drones Market: Regional Estimates & Trend Analysis
- 8.1. Agriculture Drones Market Share, By Region, 2024 & 2030, USD Million
- 8.2. North America
- 8.2.1. North America Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.2.2. U.S.
- 8.2.2.1. U.S. Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.2.3. Canada
- 8.2.3.1. Canada Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.2.4. Mexico
- 8.2.4.1. Mexico Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.3. Europe
- 8.3.1. Europe Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.3.2. U.K.
- 8.3.2.1. U.K. Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.3.3. Germany
- 8.3.3.1. Germany Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.3.4. France
- 8.3.4.1. France Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.3.5. Italy
- 8.3.5.1. Italy Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4. Asia Pacific
- 8.4.1. Asia Pacific Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4.2. China
- 8.4.2.1. China Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4.3. Japan
- 8.4.3.1. Japan Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4.4. Australia
- 8.4.4.1. Australia Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4.5. South Korea
- 8.4.5.1. South Korea Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.5. South America
- 8.5.1. South America Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.5.2. Brazil
- 8.5.2.1. Brazil Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.6. Middle East and Africa
- 8.6.1. Middle East and Africa Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.6.2. UAE
- 8.6.2.1. UAE Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.6.3. Kingdom of Saudi Arabia (KSA)
- 8.6.3.1. Kingdom of Saudi Arabia (KSA) Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.6.4. South Africa
- 8.6.4.1. South Africa Agriculture Drones Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 9. Competitive Landscape
- 9.1. Company Categorization
- 9.2. Company Market Positioning
- 9.3. Company Heat Map Analysis
- 9.4. Company Profiles/Listing
- 9.4.1. DJI
- 9.4.1.1. Participant's Overview
- 9.4.1.2. Financial Performance
- 9.4.1.3. Product Benchmarking
- 9.4.1.4. Strategic Initiatives
- 9.4.2. Parrot Drone SAS
- 9.4.2.1. Participant's Overview
- 9.4.2.2. Financial Performance
- 9.4.2.3. Product Benchmarking
- 9.4.2.4. Strategic Initiatives
- 9.4.3. AgEagle Aerial Systems Inc.
- 9.4.3.1. Participant's Overview
- 9.4.3.2. Financial Performance
- 9.4.3.3. Product Benchmarking
- 9.4.3.4. Strategic Initiatives
- 9.4.4. AeroVironment, Inc.
- 9.4.4.1. Participant's Overview
- 9.4.4.2. Financial Performance
- 9.4.4.3. Product Benchmarking
- 9.4.4.4. Strategic Initiatives
- 9.4.5. PrecisionHawk
- 9.4.5.1. Participant's Overview
- 9.4.5.2. Financial Performance
- 9.4.5.3. Product Benchmarking
- 9.4.5.4. Strategic Initiatives
- 9.4.6. Trimble Inc.
- 9.4.6.1. Participant's Overview
- 9.4.6.2. Financial Performance
- 9.4.6.3. Product Benchmarking
- 9.4.6.4. Strategic Initiatives
- 9.4.7. DroneDeploy
- 9.4.7.1. Participant's Overview
- 9.4.7.2. Financial Performance
- 9.4.7.3. Product Benchmarking
- 9.4.7.4. Strategic Initiatives
- 9.4.8. Autel Robotics
- 9.4.8.1. Participant's Overview
- 9.4.8.2. Financial Performance
- 9.4.8.3. Product Benchmarking
- 9.4.8.4. Strategic Initiatives
- 9.4.9. Draganfly Inc.
- 9.4.9.1. Participant's Overview
- 9.4.9.2. Financial Performance
- 9.4.9.3. Product Benchmarking
- 9.4.9.4. Strategic Initiatives
- 9.4.10. Pix4D SA
- 9.4.10.1. Participant's Overview
- 9.4.10.2. Financial Performance
- 9.4.10.3. Product Benchmarking
- 9.4.10.4. Strategic Initiatives
- 9.4.11. Sky-Drones Technologies Ltd
- 9.4.11.1. Participant's Overview
- 9.4.11.2. Financial Performance
- 9.4.11.3. Product Benchmarking
- 9.4.11.4. Strategic Initiatives
- 9.4.12. Sentera
- 9.4.12.1. Participant's Overview
- 9.4.12.2. Financial Performance
- 9.4.12.3. Product Benchmarking
- 9.4.12.4. Strategic Initiatives