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農業無人機市場規模、佔有率、趨勢分析報告：按類型、競爭環境、用途、競爭策略、地區和細分市場趨勢：2023-2030
市場調查報告書
商品編碼
1363478

農業無人機市場規模、佔有率、趨勢分析報告：按類型、競爭環境、用途、競爭策略、地區和細分市場趨勢：2023-2030

Agriculture Drones Market Size, Share & Trends Analysis Report By Type (Fixed Wing, Rotary Wing), By Component, By Farming Environment, By Application, Competitive Strategies, By Region, And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 150 Pages | 商品交期: 2-10個工作天內

價格

農業無人機市場成長與趨勢：

Grand View Research 的一項新研究顯示，到 2030 年，全球農業無人機市場預計將達到 102.7 億美元，年複合成長率為 24.3%。

農業無人機配備了多種感測器，包括多光譜和熱感相機，可以獲得有關作物健康、濕度水平和害蟲爆發的詳細資料。這些資料使農民能夠準確地決定何時何地散佈水、肥料和農藥。透過識別現場需要關注的特定領域，無人機可以進行有針對性的干涉，並減少全面治療的需要。綜合治理是指對整個區域或田地統一或不加區別地施用農藥、化肥等處理措施，而不考慮該區域內的特定變化或需要。因此，使用農業無人機來減少覆蓋可以更有針對性，透過最大限度地減少投入使用和環境影響，同時最佳化作物健康和產量。我們提供專注、高效和永續的農業方法。

最佳化健康狀況和產量。

將農業無人機與全球定位系統 (GPS)、地理資訊系統 (GIS) 和資料分析等其他精密農業技術整合，可實現無縫協作並提高精密農業實踐的有效性。無人機收集的資料，如田間測繪、作物健康狀況和作物受損評估等，可以與衛星影像、天氣資料和歷史作物資料其他資訊來源結合，讓農民全面了解自己的田地。無人機影像可以使用專用的軟體進行處理和分析，以產生植被指數、熱圖和 3D 模型。例如，Pix4D SA 提供雲端基礎的軟體，可以處理和分析無人機影像以建立植被指數、熱圖和 3D 模型。將無人機資料與精密農業技術整合，將極大提高精密農業技術的有效性和效率。

此外，將機器學習 (ML) 和人工智慧 (AI)整合到農業無人機系統中將增強營運並降低成本。透過利用人工智慧和機器學習演算法，農民可以分析無人機收集的資料，以監測作物健康狀況、檢測疾病、最佳化資源分配並做出資料主導的決策。這種整合實現了精密農業、可變施肥、自主工作、雜草和害蟲管理以及預測分析，以提高農業效率、永續性和整體生產力。

疫情對農用無人機市場產生了負面影響。 COVID-19 大流行為包括農業在內的各行業帶來了巨大的經濟不確定性。由於市場混亂、供應鏈問題和大宗商品價格波動，農民和農業面臨財務挑戰。在這種不確定的經濟環境下，許多農民對農業無人機等新技術進行大量投資持謹慎態度。他們通常不會將資源投入技術實施，而是優先考慮財務穩定和管理眼前的業務問題。隨著焦點從長期技術進步轉移，這種謹慎的做法導致農業無人機的採用放緩。

市場供應商正在採用幾個最新趨勢來增強業務並滿足對高效農業無人機不斷成長的需求。農業無人機供應商正在整合先進的成像技術，例如多光譜和高光譜感測器、熱感相機和雷射雷達（光探測和測距）系統。例如，2023年4月，Sentera宣布其專為農業用途設計的高品質多光譜6X感測器現已與美國無人機製造商Freefly Systems製造的Astro無人機完全相容。這種相容性使用戶能夠輕鬆地將 6X 感測器與 Astro 無人機配對，從而實現準確的多光譜農業資料收集，簡化決策流程並提高效率和效果。

農業無人機市場報告亮點

  • 旋轉刀片細分市場佔據主導地位，2022年佔62.9%的市場佔有率。旋翼無人機因其穩定性、直覺的飛行控制、自動飛行模式、避障系統、方便用戶使用的軟體以及緊湊攜帶的設計而被認為易於在農業無人機中使用。這些功能簡化了無人機操作，使具有不同經驗和技術專長的操作員可以使用無人機，並最終提高其在農業用途中的效用。
  • 預計 2023 年至 2030 年，領域的年複合成長率將達到最高的 25.9%。該領域的成長是由各種提供資料處理和分析服務的服務提供者推動的，這些服務提供者可幫助農民在作物管理、灌溉和害蟲防治方面做出資訊的決策。
  • 戶外農業佔據市場主導地位，2022年市場佔有率為82.8%。戶外農業涵蓋多種不同需求的作物。無人機可用於作物監測、病蟲害檢測、作物產量估算和灌溉管理。這種用途的多功能性使得無人機在戶外農業中高度相關。
  • 預計 2023 年至 2030 年，現場測繪領域的年複合成長率將達到 25.7%。準確的田間地圖使農民能夠識別需要不同處理的區域，例如改變灌溉水平、散佈量或害蟲防治方法。這種微觀最佳化可以提高作物產量並提高資源效率。
  • 北美地區在 2022 年佔據市場主導地位。北美因其廣泛而多樣化的農業部門而主導市場，其特點是大片作物和種類繁多的農作物，需要有效的監控。此外，該地區強大的創新生態系統，包括領先的無人機製造商和農業技術新興企業，確保開發適合北美農民獨特需求的專業、尖端農業無人機。

目錄

第1章 調查方法與範圍

第2章 執行摘要

第3章 市場變數、趨勢與範圍預測

  • 市場體系預測
  • 農業無人機市場 - 價值鏈分析
  • 農業無人機市場動態
  • 農業無人機市場—波特五力分析
  • 農業無人機市場 – PESTEL 分析
  • COVID-19 疾病對農業無人機市場的影響

第4章 農業無人機市場：按類型分類的預測

  • 農業無人機市場，按類型和市場佔有率分析，2022 年和 2030 年
  • 固定翼
  • 轉子葉片

第5章 農業無人機市場：按組成部分的預測

  • 農業無人機市場，按組件和市場佔有率分析，2022 年和 2030 年
  • 軟體
  • 服務

第6章 農業無人機市場：農業環境展望

  • 2022 年和 2030 年農業無人機市場、農業環境分析和市場佔有率
  • 室內農業
  • 戶外農業

第7章 農業無人機市場：依用途前景

  • 農業無人機市場，按用途和市場佔有率分析，2022 年和 2030 年
  • 作物管理
  • 現場測繪
  • 散佈農藥
  • 牲畜監控
  • VRA
  • 其他

第8章 農業無人機市場：區域估計與趨勢分析

  • 2022 年和 2030 年按地區分類的農業無人機市場佔有率
  • 北美洲
    • 2017-2030 年市場估計與預測
    • 按類型，2017-2030
    • 按組成部分，2017-2030
    • 按農業環境，2017-2030
    • 按用途，2017-2030
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 2017-2030 年市場估計與預測
    • 按類型，2017-2030
    • 按組成部分，2017-2030
    • 按農業環境，2017-2030
    • 按用途，2017-2030
    • 英國
    • 法國
    • 德國
    • 義大利
  • 亞太地區
    • 2017-2030 年市場估計與預測
    • 按類型，2017-2030
    • 按組成部分，2017-2030
    • 按農業環境，2017-2030
    • 按用途，2017-2030
    • 中國
    • 印度
    • 日本
    • 韓國
  • 南美洲
    • 2017-2030 年市場估計與預測
    • 按類型，2017-2030
    • 按組成部分，2017-2030
    • 按農業環境，2017-2030
    • 按用途，2017-2030
    • 巴西
  • 中東和非洲
    • 2017-2030 年市場估計與預測
    • 按類型，2017-2030
    • 按組成部分，2017-2030
    • 按農業環境，2017-2030
    • 按用途，2017-2030
    • 沙烏地阿拉伯王國 (KSA)
    • 阿拉伯聯合大公國
    • 南非

第9章 農用無人機市場競爭形勢

  • 主要市場參與企業
    • DJI
    • Parrot Drone SAS
    • AgEagle Aerial Systems Inc
    • AeroVironment, Inc.
    • PrecisionHawk
    • Trimble Inc.
    • DroneDeploy
    • Autel Robotics
    • Draganfly Inc
    • Pix4D SA
    • Sky-Drones Technologies LTD
    • Sentera
  • 2022年主要企業市場佔有率分析
  • 2022 年公司分類/定位分析
  • 策略規劃
    • 擴張
    • 併購
    • 夥伴關係與協作
    • 產品/服務發布
    • 其他
Product Code: GVR-1-68038-271-6

Agriculture Drones Market Growth & Trends:

The global agriculture drones market is expected to reach USD 10.27 billion by 2030, registering a CAGR of 24.3%, according to a new study conducted 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:

  • The rotary wing segment dominated the market, accounting for a market share of 62.9% in 2022. Rotary drones are considered easy to use in the agriculture drones due to their stability, intuitive flight controls, automated flight modes, obstacle avoidance systems, user-friendly software, and compact & portable designs. These features simplify drone operation, making them accessible to operators with varying experience and technical expertise, ultimately enhancing their utility in agricultural applications.
  • The services segment is expected to register the highest CAGR of 25.9% from 2023 to 2030. The growth of the segment can be attributed to the offerings such as data processing and analysis services of various service providers help farmers to make informed decisions about crop management, irrigation, and pest control.
  • The outdoor farming dominated the market, accounting for a market share of 82.8% in 2022. Outdoor farming encompasses a wide variety of crops with varying needs. Drones can be employed for crop monitoring, pest and disease detection, yield estimation, and irrigation management. This diversity of applications makes drones highly relevant in outdoor farming.
  • The field mapping segment is expected to register the highest CAGR of 25.7% from 2023 to 2030. Accurate field maps enable farmers to identify areas requiring different treatments, such as varying irrigation levels, fertilizer application rates, or pest control measures. This optimization at a micro-scale can lead to increased crop yields and improved resource efficiency.
  • North America region dominated the market in 2022. North America's dominance in the market is driven by its extensive and diverse agricultural sector, characterized by vast farmlands and a wide range of crops, necessitating efficient monitoring. Additionally, the region's strong technological innovation ecosystem, including leading drone manufacturers and agriculture tech startups, ensures the development of specialized, cutting-edge agriculture drones tailored to the unique needs of North American farmers.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definitions
  • 1.3. Information Procurement
    • 1.3.1. Information analysis
    • 1.3.2. Market formulation & data visualization
    • 1.3.3. Data validation & publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List to Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Summary
  • 2.2. Market Snapshot
  • 2.3. Segment Snapshot
  • 2.4. Competitive Landscape Snapshot

Chapter 3. Market Variables, Trends, & Scope Outlook

  • 3.1. Market Lineage Outlook
  • 3.2. Agriculture Drones Market - Value Chain Analysis
  • 3.3. Agriculture Drones Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraints Analysis
    • 3.3.3. Market Opportunity Analysis
  • 3.4. Agriculture Drones Market - Porter's Five Forces Analysis
    • 3.4.1. Supplier power
    • 3.4.2. Buyer power
    • 3.4.3. Substitution threat
    • 3.4.4. Threat from new entrant
    • 3.4.5. Competitive rivalry
  • 3.5. Agriculture Drones Market - PESTEL Analysis
    • 3.5.1. Political landscape
    • 3.5.2. Economic landscape
    • 3.5.3. Social landscape
    • 3.5.4. Technology landscape
    • 3.5.5. Environmental landscape
    • 3.5.6. Legal landscape
  • 3.6. Impact of COVID-19 on the Agriculture Drones Market

Chapter 4. Agriculture Drones Market Type Outlook

  • 4.1. Agriculture Drones Market, By Type Analysis & Market Share, 2022 & 2030
  • 4.2. Fixed Wing
    • 4.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 4.3. Rotary Wing
    • 4.3.1. 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, 2022 & 2030
  • 5.2. Hardware
    • 5.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.2.2. Frames
      • 5.2.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.2.3. Flight Control Systems
      • 5.2.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.2.4. Navigation Systems
      • 5.2.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.2.5. Propulsion Systems
      • 5.2.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.2.6. Cameras
      • 5.2.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.2.7. Sensors
      • 5.2.7.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.2.8. Others
      • 5.2.8.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 5.3. Software
  • 5.4. Services
    • 5.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.4.2. Professional Services
      • 5.4.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.4.3. Managed Services
      • 5.4.3.1. 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, 2022 & 2030
  • 6.2. Indoor Farming
    • 6.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 6.3. Outdoor Farming
    • 6.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 7. Agriculture Drones Market Application Outlook

  • 7.1. Agriculture Drones Market, By Application Analysis & Market Share, 2022 & 2030
  • 7.2. Crop Management
    • 7.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.3. Field Mapping
    • 7.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.4. Crop Spraying
    • 7.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.5. Livestock Monitoring
    • 7.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.6. Variable Rate Application (VRA)
    • 7.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.7. Others
    • 7.7.1. 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, 2022 & 2030
  • 8.2. North America
    • 8.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 8.2.2. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
    • 8.2.3. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 8.2.4. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
    • 8.2.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.2.6. U.S.
      • 8.2.6.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.2.6.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.2.6.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.2.6.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.2.7. Canada
      • 8.2.7.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.2.7.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.2.7.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.2.7.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.2.8. Mexico
      • 8.2.8.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.2.8.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.2.8.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.2.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
  • 8.3. Europe
    • 8.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 8.3.2. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
    • 8.3.3. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 8.3.4. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
    • 8.3.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.3.6. U.K.
      • 8.3.6.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.3.6.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.3.6.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.3.6.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.3.7. France
      • 8.3.7.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.3.7.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.3.7.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.3.7.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.3.8. Germany
      • 8.3.8.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.3.8.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.3.8.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.3.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.3.9. Italy
      • 8.3.9.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.3.9.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.3.9.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.3.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
  • 8.4. Asia Pacific
    • 8.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 8.4.2. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
    • 8.4.3. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 8.4.4. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
    • 8.4.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.4.6. China
      • 8.4.6.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.4.6.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.4.6.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.4.6.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.4.7. India
      • 8.4.7.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.4.7.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.4.7.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.4.7.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.4.8. Japan
      • 8.4.8.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.4.8.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.4.8.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.4.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.4.9. South Korea
      • 8.4.9.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.4.9.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.4.9.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.4.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
  • 8.5. South America
    • 8.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 8.5.2. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
    • 8.5.3. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 8.5.4. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
    • 8.5.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.5.6. Brazil
      • 8.5.6.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.5.6.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.5.6.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.5.6.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
  • 8.6. Middle East & Africa
    • 8.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 8.6.2. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
    • 8.6.3. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 8.6.4. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
    • 8.6.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.6.6. Kingdom of Saudi Arabia (KSA)
      • 8.6.6.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.6.6.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.6.6.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.6.6.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.6.7. UAE
      • 8.6.7.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.6.7.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.6.7.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.6.7.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 8.6.8. South Africa
      • 8.6.8.1. Market estimates and forecasts, By Type, 2017 - 2030 (USD Million)
      • 8.6.8.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.6.8.3. Market estimates and forecasts, By Farming Environment, 2017 - 2030 (USD Million)
      • 8.6.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)

Chapter 9. Agriculture Drones Market Competitive Landscape

  • 9.1. Key Market Participants
    • 9.1.1. DJI
    • 9.1.2. Parrot Drone SAS
    • 9.1.3. AgEagle Aerial Systems Inc
    • 9.1.4. AeroVironment, Inc.
    • 9.1.5. PrecisionHawk
    • 9.1.6. Trimble Inc.
    • 9.1.7. DroneDeploy
    • 9.1.8. Autel Robotics
    • 9.1.9. Draganfly Inc
    • 9.1.10. Pix4D SA
    • 9.1.11. Sky-Drones Technologies LTD
    • 9.1.12. Sentera
  • 9.2. Key Company Market Share Analysis, 2022
  • 9.3. Company Categorization/Position Analysis, 2022
  • 9.4. Strategic Mapping
    • 9.4.1. Expansion
    • 9.4.2. Mergers & Acquisition
    • 9.4.3. Partnership & Collaborations
    • 9.4.4. Product/service launch
    • 9.4.5. Others

List of Tables

  • Table 1 Global Agriculture Drones market revenue estimates and forecast, by Type, 2017 - 2030 (USD Million)
  • Table 2 Global Agriculture Drones market revenue estimates and forecast, by Component, 2017 - 2030 (USD Million)
  • Table 3 Global Agriculture Drones market revenue estimates and forecast, by Hardware, 2017 - 2030 (USD Million)
  • Table 4 Global Agriculture Drones market revenue estimates and forecast, by Services, 2017 - 2030 (USD Million)
  • Table 5 Global Agriculture Drones market revenue estimates and forecast, by Farming Environment, 2017 - 2030 (USD Million)
  • Table 6 Global Agriculture Drones market revenue estimates and forecast, by Application, 2017 - 2030 (USD Million)
  • Table 7 Global Agriculture Drones market revenue estimates and forecast, by region, 2017 - 2030 (USD Million)
  • Table 8 Participant Overview
  • Table 9 Financial Performance
  • Table 10 Product Benchmarking
  • Table 11 Key companies undertaking partnerships & collaborations
  • Table 12 Key companies undertaking mergers & acquisitions
  • Table 13 Key companies launching new product/services
  • Table 14 Key companies undertaking other strategies

List of Figures

  • Fig. 1 Market segmentation
  • Fig. 2 Information Procurement
  • Fig. 3 Data Analysis Models
  • Fig. 4 Market Formulation and Validation
  • Fig. 5 Data Validating & Publishing
  • Fig. 6 Market Snapshot
  • Fig. 7 Segment Snapshot
  • Fig. 8 Segment Snapshot
  • Fig. 9 Competitive Landscape Snapshot
  • Fig. 10 Agriculture Drones Market- Industry Value Chain Analysis
  • Fig. 11 Agriculture Drones Market Dynamics
  • Fig. 12 Agriculture Drones Market: PORTER's Analysis
  • Fig. 13 Agriculture Drones Market: PESTEL Analysis
  • Fig. 14 Agriculture Drones Market, by Type: Key Takeaways
  • Fig. 15 Agriculture Drones Market, by Type: Market Share, 2022 & 2030
  • Fig. 16 Fixed Wing Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 17 Rotary Wing Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 18 Agriculture Drones Market, by Component: Key Takeaways
  • Fig. 19 Agriculture Drones Market, by Component: Market Share, 2022 & 2030
  • Fig. 20 Hardware Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 21 Software Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 22 Services Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 23 Agriculture Drones Market, by Farming Environment: Key Takeaways
  • Fig. 24 Agriculture Drones Market, by Farming Environment: Market Share, 2022 & 2030
  • Fig. 25 Indoor Farming Agroculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 26 Outdoor Farming Agroculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 27 Agriculture Drones Market, by Application: Key Takeaways
  • Fig. 28 Agriculture Drones Market, by Application: Market Share, 2022 & 2030
  • Fig. 29 Crop Management Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 30 Field Mapping Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 31 Crop Spraying Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 32 Livestock Monitoring Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 33 Variable Rate Application (VRA) Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 34 Others Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 35 North America Agriculture Drones market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 36 U.S. Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 37 Canada Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 38 Mexico Agriculture Drones Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 39 Europe Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 40 U.K. Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 41 Germany Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 42 France Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 43 Italy Agriculture Drones market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 44 Asia Pacific Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 45 China Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 46 India Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 47 Japan Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 48 South Korea Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 49 Brazil Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 50 Middle East & Africa Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 51 Kingdom of Saudi Arabia (KSA) Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 52 UAE Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 53 South Africa Agriculture Drones market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 54 Key company categorization
  • Fig. 55 Agriculture Drones Market - Key company market share analysis, 2022
  • Fig. 56 Strategic framework