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1798000

2032 年農業遙感探測技術市場預測：按組件、部署、感測模式、技術、應用和地區進行的全球分析

Remote Sensing Technology For Agriculture Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Deployment, Sensing Modality, Technology, Applications, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球農業遙感探測技術市場預計在 2025 年達到 36 億美元，到 2032 年將達到 84 億美元，預測期內的複合年成長率為 12.9%。

農業遙感探測技術利用衛星影像、航空攝影和基於感測器的系統，無需直接接觸即可收集作物、土壤和環境狀況資料。它採用頻譜、高光譜遙測和熱感成像技術來監測植物健康狀況、水分含量、營養狀況和病蟲害。該技術使農民和測量員能夠遠端評估農田，提供準確、及時且空間詳盡的資訊，從而實現有效的作物管理和資源最佳化。

根據美國農業部（USDA）的報告，精密農業已在美國60%以上的地區採用，該技術高度依賴遙感探測技術。

精密農業的採用日益增多

對高效農場管理和最佳化作物產量的需求日益成長，這推動了遙感探測在精密農業中的應用。精準監測土壤條件、作物健康狀況、灌溉需求等的能力，使農民能夠做出數據主導的決策，進而提高生產力。先進的感測方法可以減少浪費，改善資源配置，並提高永續性。各國政府和農業組織正在推廣智慧農業實踐，進一步推動其應用。因此，這項技術在精密農業中的作用，對世界各地的現代農業系統至關重要。

安裝和維修成本高

儘管遙感探測益處良多，但其高昂的初始投資（例如，在遙感設備、無人機、衛星合約和先進的影像處理工具方面）對許多農民來說仍是一個挑戰。預算限制了技術的採用，尤其是在中小型農場。持續的維護、校準和軟體更新增加了營運成本。此外，還需要訓練有素的人員來解讀數據，這也增加了成本。這些成本障礙阻礙了遙感技術的廣泛應用，尤其是在發展中地區，減緩了遙感探測在農業領域應用的步伐。

與人工智慧和物聯網的整合

遙感探測與人工智慧和物聯網設備的結合，為農業帶來了巨大的機會。人工智慧演算法可以分析來自感測器和衛星影像的大量資料集，從而實現產量估算、病蟲害檢測和疾病預防的預測分析。物聯網連接確保了從田間設備到農民儀表板的即時資料傳輸。這種協同作用提高了決策準確性，並實現了灌溉和施肥等流程的自動化。隨著技術的進步，這些整合解決方案有望使遙感探測更加智慧、高效，並在各種農業規模中普及。

資料隱私與網路安全風險

遙感系統的數位化特性使其易受網路威脅和未授權存取敏感農業資料的影響。針對農場管理平台和衛星系統的駭客可能會擾亂業務、操縱數據並造成經濟損失。資料外洩可能會危及農民獨特的作物見解和管理策略。農村地區網路安全措施薄弱進一步加劇了風險。應對這些威脅需要強大的加密技術、安全的網路以及農民的意識，以維護他們對農業遙感探測技術的信任。

COVID-19的影響：

新冠疫情加速了遙感探測在農業領域的應用。農民開始使用衛星和無人機影像監測作物並評估損失。然而，硬體供應鏈的中斷減緩了部分應用的步伐。熟練技術人員的匱乏也阻礙了該技術的廣泛應用。正面的一面是，這場危機凸顯了非接觸式、數據主導的農業解決方案的價值。預計這種轉變將產生持久影響，使遙感探測成為後疫情時代農業策略的核心組成部分。

預計硬體部分將成為預測期內最大的部分

預計硬體領域將在預測期內佔據最大的市場佔有率，這得益於接收器、頻譜相機和無人機感測器在農業監測領域的廣泛應用。這些實體組件構成了遙感探測系統的基礎，能夠收集大片農田的資料。先進感測器技術投資的增加以及無人機價格的下降進一步推動了需求。此外，高解析度成像硬體的整合提高了精確度，使其成為精密農業和田間分析應用的必備硬體。

預計預測期內衛星系統領域將以最高複合年成長率成長

預計在預測期內，衛星系統領域將實現最高成長率，這得益於高解析度成像、多頻譜分析和頻繁重訪能力的進步。衛星平台覆蓋範圍廣，使其成為監測大面積農業區域的理想選擇。衛星資料服務的可用性和可負擔性促使私人和政府農業機構擴大採用該服務。此外，航太機構與農業技術公司之間的夥伴關係正在推動技術創新，提高衛星農業監測的準確性和頻率。

佔比最大的地區：

預計亞太地區將在預測期內佔據最大的市場佔有率，這得益於大規模農業活動、政府推動的智慧農業舉措以及人口成長帶來的糧食需求成長。印度、中國和日本等國家正大力投資以衛星為基礎的農業監測系統。農村網路連線的不斷擴展正在改善遙感探測平台的存取。此外，大型農場和農業企業擴大採用精密農業工具，正在加速全部區域遙感探測技術的整合。

複合年成長率最高的地區：

預計北美地區在預測期內的複合年成長率最高。這得歸功於其強大的技術基礎設施、精密農業的早期應用以及大量的研發投入。大型農業科技公司的存在以及與衛星服務提供商的合作正在推動該地區的技術創新。美國和加拿大各地的農民正在迅速將無人機、人工智慧分析和物聯網設備整合到遙感探測系統中。支持性政策加上日益增強的環保意識，正在進一步推動北美農業領域的市場擴張。

提供免費客製化：

此報告的訂閱者將獲得以下免費自訂選項之一：

  • 公司簡介
    • 對最多三家其他市場公司進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球農業遙感探測技術市場（按組件）

  • 硬體
  • 軟體
  • 服務

6. 全球農業遙感探測技術市場（按部署）

  • 衛星系統
  • 基於無人機的系統
  • 地面系統

7. 全球農業遙感探測技術市場（以感測方式）

  • 被動感
  • 主動感知

8. 全球農業遙感探測技術市場（按技術）

  • 光學
  • 雷達
  • 騎士
  • 其他技術

9. 全球農業遙感探測技術市場（按應用）

  • 作物監測
  • 土壤監測
  • 產量圖
  • 灌溉管理
  • 病蟲害監測
  • 字段映射
  • 其他用途

10. 全球農業遙感探測技術市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • John Deere（Deere & Company）
  • Bayer CropScience（Climate Corporation/FieldView）
  • Corteva Granular
  • IBM's The Weather Company
  • Indigo Agriculture
  • AGCO Corporation
  • Ag Leader Technology
  • Trimble Inc.
  • Agribotix
  • ClearAg Operations
  • Conservis Corporation
  • FlyPix AI
  • EOS Data Analytics
  • AgroScout
  • Yara International ASA
Product Code: SMRC30370

According to Stratistics MRC, the Global Remote Sensing Technology For Agriculture Market is accounted for $3.6 billion in 2025 and is expected to reach $8.4 billion by 2032 growing at a CAGR of 12.9% during the forecast period. Remote sensing technology for agriculture is the use of satellite imagery, aerial photography, and sensor-based systems to collect data about crops, soil, and environmental conditions without direct physical contact. It employs multispectral, hyperspectral, and thermal imaging to monitor plant health, moisture levels, nutrient status, and pest infestations. This technology enables farmers and researchers to assess agricultural fields remotely, providing accurate, timely, and spatially detailed information for effective crop management and resource optimization.

According to a report by the United States Department of Agriculture (USDA), precision agriculture, which heavily relies on remote sensing technologies, has been adopted by over 60% of U.S.

Market Dynamics:

Driver:

Increasing adoption of precision agriculture

The rising need for efficient farm management and optimized crop yields is fueling the integration of remote sensing in precision agriculture. By enabling accurate monitoring of soil conditions, crop health, and irrigation needs, farmers can make data-driven decisions to boost productivity. Advanced sensing methods reduce wastage, improve resource allocation, and enhance sustainability. Governments and agricultural organizations are promoting smart farming practices, further spurring adoption. Consequently, the technology's role in precision farming is becoming indispensable for modern agricultural systems worldwide.

Restraint:

High implementation and maintenance costs

Despite its advantages, the high initial investment in remote sensing equipment, drones, satellite subscriptions, and advanced imaging tools poses a challenge for many farmers. Small and medium-sized farms, in particular, face budgetary constraints that limit technology adoption. Ongoing maintenance, calibration, and software updates add to operational costs. Additionally, the need for trained personnel to interpret data increases expenses. These cost barriers hinder widespread deployment, especially in developing regions, slowing the pace of remote sensing integration in the agricultural sector.

Opportunity:

Integration with AI and IoT

Combining remote sensing with artificial intelligence and IoT devices presents significant opportunities for agriculture. AI algorithms can analyze vast datasets from sensors and satellite imagery, enabling predictive analytics for yield estimation, pest detection, and disease prevention. IoT connectivity ensures real-time data transmission from field devices to farmers' dashboards. This synergy enhances decision-making accuracy and automates processes such as irrigation and fertilization. As technology advances, these integrated solutions promise to make remote sensing more intelligent, efficient, and accessible across diverse farming scales.

Threat:

Data privacy and cybersecurity risks

The digital nature of remote sensing systems makes them vulnerable to cyber threats and unauthorized access to sensitive agricultural data. Hackers targeting farm management platforms or satellite-based systems can disrupt operations, manipulate data, or cause financial losses. Data breaches could compromise farmers' proprietary crop insights and operational strategies. Weak cybersecurity measures in rural deployments exacerbate the risk. Addressing these threats requires robust encryption, secure networks, and farmer awareness to maintain trust in remote sensing technologies for agricultural use.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of remote sensing in agriculture due to restrictions on physical field inspections. Farmers increasingly relied on satellite and drone imagery for monitoring crops and assessing damage. However, disruptions in hardware supply chains delayed some installations. Limited access to skilled technicians also hindered technology deployment. On the positive side, the crisis highlighted the value of contactless, data-driven farming solutions. This shift is expected to have a lasting impact, with remote sensing becoming a core element of post-pandemic agricultural strategies.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is expected to account for the largest market share during the forecast period period, propelled by the widespread use of satellite receivers, multispectral cameras, and drone-based sensors in agricultural monitoring. These physical components form the foundation of remote sensing systems, enabling data collection across vast farmlands. Growing investments in advanced sensor technology and increasing affordability of drones have further boosted demand. Additionally, the integration of high-resolution imaging hardware enhances accuracy, making hardware indispensable for precision agriculture and field analysis applications.

The satellite-based systems segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the satellite-based systems segment is predicted to witness the highest growth rate, influenced by advancements in high-resolution imaging, multispectral analysis, and frequent revisit capabilities. Satellite platforms enable wide-area coverage, making them ideal for monitoring large agricultural regions. The growing availability of affordable satellite data services is increasing adoption among both commercial and government agricultural bodies. Furthermore, partnerships between space agencies and agri-tech firms are fostering innovation, enhancing the precision and frequency of satellite-based agricultural monitoring.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, fueled by extensive agricultural activity, government initiatives for smart farming, and rising food demand due to population growth. Countries such as India, China, and Japan are investing heavily in satellite-based agricultural monitoring systems. Expanding rural internet connectivity is improving access to remote sensing platforms. Additionally, increasing adoption of precision agriculture tools by large-scale farms and agri-businesses is accelerating the integration of remote sensing technologies across the region.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven by strong technological infrastructure, early adoption of precision farming, and significant R&D investments. The presence of leading agri-tech companies and collaborations with satellite service providers are fueling innovation in the region. Farmers in the U.S. and Canada are rapidly integrating drones, AI analytics, and IoT devices with remote sensing systems. Supportive policies, coupled with growing environmental awareness, are further boosting market expansion in North America's agricultural sector.

Key players in the market

Some of the key players in Remote Sensing Technology For Agriculture Market include John Deere (Deere & Company), Bayer CropScience (Climate Corporation/FieldView), Corteva Granular, IBM's The Weather Company, Indigo Agriculture, AGCO Corporation, Ag Leader Technology, Trimble Inc., Agribotix, ClearAg Operations, Conservis Corporation, FlyPix AI, EOS Data Analytics, AgroScout, and Yara International ASA.

Key Developments:

In May 2025, John Deere acquires Sentera, integrating advanced aerial field scouting imagery and analytics to the John Deere Operations Center(TM). This enhances capabilities for plant-level health assessments, stress detection, and weed mapping to drive data-based crop decisions.

In May 2025, Ceres AI integrated its advanced data analytics into Bayer's Climate FieldView platform, creating a unified data ecosystem. The collaboration delivers actionable risk intelligence to farmers, insurers, and capital stakeholders, enhancing underwriting accuracy, enabling hybrid parametric insurance models, and empowering better farm investment decisions through AI-powered field insights.

In May 2025, AGCO Corporation integrated advanced remote sensing into its FendtONE platform, enabling real-time crop and soil monitoring through satellite and drone data. The update improves variable-rate technology for seed and fertilizer application, enhancing yield optimization and resource efficiency.

Components Covered:

  • Hardware
  • Software
  • Services

Deployments Covered:

  • Satellite-Based Systems
  • Drone-Based Systems
  • Ground-Based Systems

Sensing Modalities Covered:

  • Passive Sensing
  • Active Sensing

Technologies Covered:

  • Optical
  • Radar
  • LiDAR
  • Other Technologies

Applications Covered:

  • Crop Monitoring
  • Soil Monitoring
  • Yield Mapping
  • Irrigation Management
  • Pest and Disease Monitoring
  • Field Mapping
  • Other Applications

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Remote Sensing Technology For Agriculture Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Software
  • 5.4 Services

6 Global Remote Sensing Technology For Agriculture Market, By Deployment

  • 6.1 Introduction
  • 6.2 Satellite-Based Systems
  • 6.3 Drone-Based Systems
  • 6.4 Ground-Based Systems

7 Global Remote Sensing Technology For Agriculture Market, By Sensing Modality

  • 7.1 Introduction
  • 7.2 Passive Sensing
  • 7.3 Active Sensing

8 Global Remote Sensing Technology For Agriculture Market, By Technology

  • 8.1 Introduction
  • 8.2 Optical
  • 8.3 Radar
  • 8.4 LiDAR
  • 8.5 Other Technologies

9 Global Remote Sensing Technology For Agriculture Market, By Application

  • 9.1 Introduction
  • 9.2 Crop Monitoring
  • 9.3 Soil Monitoring
  • 9.4 Yield Mapping
  • 9.5 Irrigation Management
  • 9.6 Pest & Disease Monitoring
  • 9.7 Field Mapping
  • 9.8 Other Applications

10 Global Remote Sensing Technology For Agriculture Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.10 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.5 South Korea
    • 10.4.6 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 John Deere (Deere & Company)
  • 12.2 Bayer CropScience (Climate Corporation/FieldView)
  • 12.3 Corteva Granular
  • 12.4 IBM's The Weather Company
  • 12.5 Indigo Agriculture
  • 12.6 AGCO Corporation
  • 12.7 Ag Leader Technology
  • 12.8 Trimble Inc.
  • 12.9 Agribotix
  • 12.10 ClearAg Operations
  • 12.11 Conservis Corporation
  • 12.12 FlyPix AI
  • 12.13 EOS Data Analytics
  • 12.14 AgroScout
  • 12.15 Yara International ASA

List of Tables

  • Table 1 Global Remote Sensing Technology For Agriculture Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Remote Sensing Technology For Agriculture Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Remote Sensing Technology For Agriculture Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Remote Sensing Technology For Agriculture Market Outlook, By Software (2024-2032) ($MN)
  • Table 5 Global Remote Sensing Technology For Agriculture Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global Remote Sensing Technology For Agriculture Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 7 Global Remote Sensing Technology For Agriculture Market Outlook, By Satellite-Based Systems (2024-2032) ($MN)
  • Table 8 Global Remote Sensing Technology For Agriculture Market Outlook, By Drone-Based Systems (2024-2032) ($MN)
  • Table 9 Global Remote Sensing Technology For Agriculture Market Outlook, By Ground-Based Systems (2024-2032) ($MN)
  • Table 10 Global Remote Sensing Technology For Agriculture Market Outlook, By Sensing Modality (2024-2032) ($MN)
  • Table 11 Global Remote Sensing Technology For Agriculture Market Outlook, By Passive Sensing (2024-2032) ($MN)
  • Table 12 Global Remote Sensing Technology For Agriculture Market Outlook, By Active Sensing (2024-2032) ($MN)
  • Table 13 Global Remote Sensing Technology For Agriculture Market Outlook, By Technology (2024-2032) ($MN)
  • Table 14 Global Remote Sensing Technology For Agriculture Market Outlook, By Optical (2024-2032) ($MN)
  • Table 15 Global Remote Sensing Technology For Agriculture Market Outlook, By Radar (2024-2032) ($MN)
  • Table 16 Global Remote Sensing Technology For Agriculture Market Outlook, By LiDAR (2024-2032) ($MN)
  • Table 17 Global Remote Sensing Technology For Agriculture Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 18 Global Remote Sensing Technology For Agriculture Market Outlook, By Application (2024-2032) ($MN)
  • Table 19 Global Remote Sensing Technology For Agriculture Market Outlook, By Crop Monitoring (2024-2032) ($MN)
  • Table 20 Global Remote Sensing Technology For Agriculture Market Outlook, By Soil Monitoring (2024-2032) ($MN)
  • Table 21 Global Remote Sensing Technology For Agriculture Market Outlook, By Yield Mapping (2024-2032) ($MN)
  • Table 22 Global Remote Sensing Technology For Agriculture Market Outlook, By Irrigation Management (2024-2032) ($MN)
  • Table 23 Global Remote Sensing Technology For Agriculture Market Outlook, By Pest & Disease Monitoring (2024-2032) ($MN)
  • Table 24 Global Remote Sensing Technology For Agriculture Market Outlook, By Field Mapping (2024-2032) ($MN)
  • Table 25 Global Remote Sensing Technology For Agriculture Market Outlook, By Other Applications (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.