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市场调查报告书
商品编码
1798000

2032 年农业遥感探测技术市场预测：按组件、部署、感测模式、技术、应用和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球农业遥感探测技术市场预计在 2025 年达到 36 亿美元，到 2032 年将达到 84 亿美元，预测期内的复合年增长率为 12.9%。

农业遥感探测技术利用卫星影像、航空摄影和基于感测器的系统，无需直接接触即可收集作物、土壤和环境状况资料。它采用频谱、高光谱遥测和热感成像技术来监测植物健康状况、水分含量、营养状况和病虫害。该技术使农民和测量员能够远端评估农田，提供准确、及时且空间详尽的信息，从而实现有效的作物管理和资源优化。

根据美国农业部（USDA）的报告，精密农业已在美国60%以上的地区采用，该技术高度依赖遥感探测技术。

精密农业的采用日益增多

对高效农场管理和优化作物产量的需求日益增长，这推动了遥感探测在精密农业中的应用。精准监测土壤条件、作物健康状况、灌溉需求等的能力，使农民能够做出数据主导的决策，进而提高生产力。先进的感测方法可以减少浪费，改善资源配置，并提高永续性。各国政府和农业组织正在推广智慧农业实践，进一步推动其应用。因此，这项技术在精密农业中的作用，对世界各地的现代农业系统至关重要。

安装和维修成本高

儘管遥感探测益处良多，但其高昂的初始投资（例如，在遥感设备、无人机、卫星合约和先进的影像处理工具方面）对许多农民来说仍是一个挑战。预算限制了技术的采用，尤其是在中小型农场。持续的维护、校准和软体更新增加了营运成本。此外，还需要训练有素的人员来解读数据，这也增加了成本。这些成本障碍阻碍了遥感技术的广泛应用，尤其是在发展中地区，减缓了遥感探测在农业领域应用的步伐。

与人工智慧和物联网的集成

遥感探测与人工智慧和物联网设备的结合，为农业带来了巨大的机会。人工智慧演算法可以分析来自感测器和卫星影像的大量资料集，从而实现产量估算、病虫害检测和疾病预防的预测分析。物联网连接确保了从田间设备到农民仪表板的即时资料传输。这种协同作用提高了决策准确性，并实现了灌溉和施肥等流程的自动化。随着技术的进步，这些整合解决方案有望使遥感探测更加智慧、高效，并在各种农业规模中普及。

资料隐私与网路安全风险

遥感系统的数位化特性使其易受网路威胁和未授权存取敏感农业资料的影响。针对农场管理平台和卫星系统的骇客可能会扰乱业务、操纵数据并造成经济损失。资料外洩可能会危及农民独特的作物见解和管理策略。农村地区网路安全措施薄弱进一步加剧了风险。应对这些威胁需要强大的加密技术、安全的网路以及农民的意识，以维护他们对农业遥感探测技术的信任。

COVID-19的影响：

新冠疫情加速了遥感探测在农业领域的应用。农民开始使用卫星和无人机影像监测作物并评估损失。然而，硬体供应链的中断减缓了部分应用的步伐。熟练技术人员的匮乏也阻碍了该技术的广泛应用。正面的一面是，这场危机凸显了非接触式、数据主导的农业解决方案的价值。预计这种转变将产生持久影响，使遥感探测成为后疫情时代农业策略的核心组成部分。

预计硬体部分将成为预测期内最大的部分

预计硬体领域将在预测期内占据最大的市场占有率，这得益于接收器、频谱相机和无人机感测器在农业监测领域的广泛应用。这些实体组件构成了遥感探测系统的基础，能够收集大片农田的资料。先进感测器技术投资的增加以及无人机价格的下降进一步推动了需求。此外，高解析度成像硬体的整合提高了精确度，使其成为精密农业和田间分析应用的必备硬体。

预计预测期内卫星系统领域将以最高复合年增长率成长

预计在预测期内，卫星系统领域将实现最高成长率，这得益于高解析度成像、多频谱分析和频繁重访能力的进步。卫星平台覆盖范围广，使其成为监测大面积农业区域的理想选择。卫星资料服务的可用性和可负担性促使私人和政府农业机构越来越多地采用该服务。此外，航太机构与农业技术公司之间的伙伴关係正在推动技术创新，提高卫星农业监测的准确性和频率。

占比最大的地区：

预计亚太地区将在预测期内占据最大的市场占有率，这得益于大规模农业活动、政府推动的智慧农业倡议以及人口增长带来的粮食需求增长。印度、中国和日本等国家正大力投资以卫星为基础的农业监测系统。农村网路连线的不断扩展正在改善遥感探测平台的存取。此外，大型农场和农业企业越来越多地采用精密农业工具，正在加速全部区域遥感探测技术的整合。

复合年增长率最高的地区：

预计北美地区在预测期内的复合年增长率最高。这得归功于其强大的技术基础设施、精密农业的早期应用以及大量的研发投入。大型农业科技公司的存在以及与卫星服务提供商的合作正在推动该地区的技术创新。美国和加拿大各地的农民正在迅速将无人机、人工智慧分析和物联网设备整合到遥感探测系统中。支持性政策加上日益增强的环保意识，正在进一步推动北美农业领域的市场扩张。

提供免费客製化：

此报告的订阅者将获得以下免费自订选项之一：

  • 公司简介
    • 对最多三家其他市场公司进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球农业遥感探测技术市场（按组件）

  • 硬体
  • 软体
  • 服务

6. 全球农业遥感探测技术市场（按部署）

  • 卫星系统
  • 基于无人机的系统
  • 地面系统

7. 全球农业遥感探测技术市场（以感测方式）

  • 被动感
  • 主动感知

8. 全球农业遥感探测技术市场（按技术）

  • 光学
  • 雷达
  • 骑士
  • 其他技术

9. 全球农业遥感探测技术市场（按应用）

  • 作物监测
  • 土壤监测
  • 产量图
  • 灌溉管理
  • 病虫害监测
  • 字段映射
  • 其他用途

10. 全球农业遥感探测技术市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • 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.