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市场调查报告书
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1933094

全球农业物联网感测器市场预测（至2032年），按感测器类型、连接技术、农场规模、应用、最终用户和地区划分

Agricultural IoT Sensors Market Forecasts to 2032 - Global Analysis By Sensor Type, Connectivity Technology, Farm Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球农业物联网感测器市场价值将达到 25.8 亿美元，到 2032 年将达到 57.7 亿美元，在预测期内的复合年增长率为 12.2%。

农业物联网感测器是指部署在农业环境中的智慧感测技术，用于持续追踪田间、作物、天气和牲畜等变数。它们测量水分含量、温度、湿度、土壤养分和作物状况等因素，并透过联网将资讯传输至数位化管理系统。由此产生的洞察数据能够更好地控制灌溉、施肥和作物健康管理，从而支持精密农业实践，最终提高产量、减少投入浪费，并实现永续效率的农业生产。

技术成熟度和连接性

感测器、云端运算和无线通讯技术的日益融合，使得土壤、作物和牲畜的即时监测成为可能。智慧型设备和低成本的物联网网路正使精密农业解决方案更加可靠、准确和便利。农民可以利用数据分析做出明智的决策，从而提高生产力并减少资源浪费。新兴的人工智慧演算法和机器学习模型正在提升对天气、灌溉和作物健康的预测能力。自动化和互联互通的结合也促进了大型农场的远端系统管理，从而优化劳动力和营运效率。随着全球数位基础设施的日趋成熟，农业物联网解决方案的普及速度预计将显着加快。

缺乏技术素养

许多使用者难以操作进阶监控系统并解读复杂的资料输出。训练不足和认知匮乏阻碍了感测器技术的充分利用。在数位基础设施薄弱的地区，连接性和维护问题进一步加剧了推广应用的挑战。Start-Ups和供应商在为非技术用户设计使用者友善介面方面也面临挑战。知识鸿沟延缓了智慧解决方案融入传统农业实践的进程。

畜牧业及水产养殖监测

对动物健康、饲料和水质的即时监测能够优化生产力并减少疾病爆发。感测器追踪温度、湿度和环境压力因素，从而实现预防性干预。鱼类和家禽养殖场可受益于自动化饲餵系统和预警功能。与行动应用程式整合后，养殖户可以远端监控营运状况，节省时间和人力成本。长期资料收集有助于制定更优的繁殖、营养管理和福利策略。随着全球对蛋白质来源的需求不断增长，基于感测器的畜牧和水产养殖监测已成为一个重要的成长领域。

资料隐私与网路安全风险

骇客可以利用连网设备的漏洞存取敏感的农场资料。未授权存取可能导致营运设定、产量和牲畜记录被篡改。中小农场往往缺乏有效的网路安全措施。不同地区对国际资料保护标准的遵守情况也各不相同。资料外洩的风险可能会阻碍农民采用智慧解决方案。各公司正致力于透过投资加密技术、安全云端平台和定期审核来降低潜在威胁。

新冠疫情的感染疾病：

新冠疫情对农业物联网感测器市场造成了衝击，供应链中断和技术应用延迟是主要原因。封锁措施限制了农场的准入，导致新设备的安装和培训计划延期。然而，随着农民寻求非接触式管理解决方案，这场危机加速了远端监控技术的普及。自动化灌溉、土壤和牲畜感测器的需求显着增长。物联网平台使农场能够在劳动力短缺的情况下继续运作。政府和私人企业也积极支持数位农业倡议，以维持生产力。

在预测期内，土壤湿度感测器细分市场将占据最大的市场份额。

由于土壤湿度感测器在灌溉管理中发挥着至关重要的作用，预计在预测期内，土壤湿度感测器将占据最大的市场份额。这些感测器有助于优化用水，减少浪费，提高作物产量。在水资源短缺问题突出的已开发地区和新兴地区，土壤湿度感测器正被广泛应用。与自动化灌溉系统集成，可提高效率并减少人工监测。技术进步使这些感测器更加精准、经济高效且易于部署。土壤湿度资料也有助于进行预测分析，以便更好地进行作物种植规划。

在预测期内，智慧温室细分市场将实现最高的复合年增长率。

预计在预测期内，智慧温室领域将实现最高成长率。这些设施整合了物联网感测器，用于监测温度、湿度、光照强度和土壤养分。自动化气候控制和灌溉系统能够提高作物品质并降低营运成本。这项技术实现了全年种植，最大限度地利用有限的空间提高产量。数据驱动的洞察有助于农民优化植物生长并降低能源消耗。对高价值作物和可控环境农业的需求正在推动全球的普及应用。

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份额，这主要得益于该地区庞大的农业基础以及对智慧农业日益增长的投资。中国、印度和日本等国家正积极采用精密农业解决方案和现代化农业基础设施。政府推动数位农业发展的措施也进一步促进了市场成长。物联网技术的快速普及帮助农民提高产量和营运效率。全球技术供应商与本地合作伙伴之间的合作正在扩大技术的可及性。

复合年增长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于精密农业的快速普及，以提高作物产量和资源利用效率。人口成长带来的粮食需求增加，以及耕地面积的减少，促使农民转向以感测器为基础的土壤、天气和作物健康监测。政府对智慧农业的大力支持、智慧型手机和网路普及率的提高，以及农业技术Start-Ups的扩张，进一步推动了中国、印度和澳洲等国的市场成长。

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    • 对其他市场参与者（最多 3 家公司）进行全面分析
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  • 区域细分
    • 根据客户要求，对主要国家进行市场估算和预测，并计算复合年增长率（註：可行性需确认）。
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    • 基于产品系列、地域覆盖范围和策略联盟对主要参与者进行基准分析

目录

第一章执行摘要

第二章 前言

  • 概括
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

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. 全球农业物联网感测器市场（按感测器类型划分）

  • 土壤湿度感测器
  • 温度感测器
  • 营养感测器
  • 湿度感测器
  • 光学感测器
  • 水质感测器
  • 其他的

6. 全球农业物联网感测器市场（按连接技术划分）

  • 有线
  • 无线的
    • 细胞
    • Wi-Fi
    • LoRaWAN
    • 卫星
    • Zigbee

7. 按农场规模分類的全球农业物联网感测器市场

  • 小规模农场
  • 中型农场
  • 大型农场

8. 全球农业物联网感测器市场（按应用划分）

  • 精密农业
  • 土壤监测
  • 气候监测
  • 作物健康监测
  • 牲畜监测
  • 智慧温室
  • 水产养殖
  • 其他的

9. 全球农业物联网感测器市场（按最终用户划分）

  • 农民
  • 农业合作社
  • 研究所
  • 公共部门
  • 农业科技服务供应商
  • 其他的

第十章 全球农业物联网感测器市场（按地区划分）

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 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
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章：企业概况

  • John Deere
  • Yara International
  • Trimble Inc.
  • Teralytic
  • AG Leader Technology
  • Acclima
  • Farmers Edge
  • Pycno
  • Raven Industries
  • Sensoterra
  • Sentera
  • Texas Instruments
  • CropX Technologies
  • Libelium
  • Monnit Corporation
Product Code: SMRC33662

According to Stratistics MRC, the Global Agricultural IoT Sensors Market is accounted for $2.58 billion in 2025 and is expected to reach $5.77 billion by 2032 growing at a CAGR of 12.2% during the forecast period. Agricultural IoT sensors refer to intelligent sensing technologies deployed in agricultural environments to continuously track field, crop, climate, and livestock variables. They measure factors like moisture content, temperature, humidity, soil nutrients, and crop conditions, and relay this information via connected networks to digital management systems. The insights generated support precision farming practices by enhancing control over irrigation, nutrient application, and crop health management, ultimately boosting yields, reducing input waste, and promoting sustainable and efficient agricultural operations.

Market Dynamics:

Driver:

Technological maturation & connectivity

Increasing integration of sensors, cloud computing, and wireless communication enables real-time monitoring of soil, crops, and livestock. Precision agriculture solutions are becoming more reliable, accurate, and accessible due to smart devices and low-cost IoT networks. Farmers can make informed decisions using data analytics, boosting productivity and reducing resource wastage. Emerging AI algorithms and machine learning models are improving predictive capabilities for weather, irrigation, and crop health. The combination of automation and connectivity also facilitates remote management of large farms, optimizing labor and operational efficiency. As digital infrastructure matures globally, adoption rates of agricultural IoT solutions are expected to accelerate significantly.

Restraint:

Limited technical literacy

Many users struggle to operate advanced monitoring systems and interpret complex data outputs. Insufficient training and lack of awareness hinder the full utilization of sensor technologies. In regions with poor digital infrastructure, connectivity and maintenance issues exacerbate adoption difficulties. Startups and vendors face challenges in designing user-friendly interfaces for non-technical users. The gap in knowledge slows the integration of smart solutions into traditional farming practices.

Opportunity:

Livestock and aquaculture monitoring

Real-time monitoring of animal health, feed, and water quality can optimize productivity and reduce disease outbreaks. Sensors can track temperature, humidity, and environmental stressors, enabling proactive interventions. Fish farms and poultry operations benefit from automated feeding systems and early warning alerts. Integration with mobile apps allows farmers to monitor operations remotely, saving time and labor costs. Data collected over time supports better breeding, nutrition, and welfare strategies. As demand for protein sources rises globally, sensor-based livestock and aquaculture monitoring represents a major growth avenue.

Threat:

Data privacy and cybersecurity risks

Hackers could exploit vulnerabilities in connected devices to access sensitive farm data. Unauthorized access may lead to manipulation of operational settings, crop yields, or livestock records. Small and mid-sized farms often lack robust cybersecurity measures. Compliance with international data protection standards remains inconsistent across regions. The risk of data breaches may reduce farmer confidence in adopting smart solutions. Companies are investing in encryption, secure cloud platforms, and regular audits to mitigate potential threats.

Covid-19 Impact:

The Covid-19 pandemic affected the Agricultural IoT Sensors market by disrupting supply chains and delaying technology deployment. Lockdowns restricted access to farms, slowing installation of new devices and training programs. However, the crisis accelerated remote monitoring adoption as farmers sought contactless management solutions. There was a notable rise in the demand for automated irrigation, soil, and livestock sensors. IoT platforms facilitated continuous farm operations during labor shortages. Governments and private players supported digital agriculture initiatives to maintain productivity.

The soil moisture sensors segment is expected to be the largest during the forecast period

The soil moisture sensors segment is expected to account for the largest market share during the forecast period, due to its critical role in irrigation management. These sensors help optimize water usage, reducing wastage and improving crop yields. Adoption is increasing in both developed and emerging regions where water scarcity is a concern. Integration with automated irrigation systems enhances efficiency and reduces manual monitoring. Technological improvements have made these sensors more accurate, cost-effective, and easy to deploy. Soil moisture data also supports predictive analytics for better crop planning.

The smart greenhouses segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the smart greenhouses segment is predicted to witness the highest growth rate. These facilities integrate IoT sensors for temperature, humidity, light, and soil nutrient monitoring. Automation in climate control and irrigation improves crop quality and reduces operational costs. The technology allows year-round cultivation, maximizing output in limited spaces. Data-driven insights help farmers optimize plant growth and reduce energy consumption. Demand for high-value crops and controlled-environment farming is driving adoption globally.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to the region's large agricultural base and increasing investments in smart farming. Countries like China, India, and Japan are implementing precision agriculture solutions and modern farm infrastructure. Government initiatives promoting digital agriculture are further accelerating market growth. Rapid adoption of IoT technologies helps farmers enhance yield and operational efficiency. Collaborations between global technology providers and local partners expand accessibility.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid adoption of precision farming to improve crop productivity and resource efficiency. Rising food demand from a growing population, coupled with shrinking arable land, is pushing farmers to use sensor-based monitoring for soil, weather, and crop health. Strong government support for smart agriculture, increasing smartphone and internet penetration, and expanding agritech startups further accelerate market growth across countries like China, India, and Australia.

Key players in the market

Some of the key players in Agricultural IoT Sensors Market include John Deere, PrecisionHawk Inc., AGCO Corporation, AgJunction Inc., CNH Industrial N.V., TeeJet Technologies, Trimble Inc., Valmont Industries, Inc., Topcon Corporation, Lindsay Corporation, Kubota Corporation, Hexagon AB, CLAAS KGaA mbH, Raven Industries, Inc., and SDF Group.

Key Developments:

In December 2025, Hexagon announced it has joined the Multilateral Memorandum of Understanding (MMoU) on Strengthening the Global Geodesy Supply Chain. The MMOU is a shared recognition by the United Nations Global Geodetic Centre of Excellence (UN-GGCE) alongside member state government departments and agencies, private sector companies, organisations, associations, and academic institutions, that action is required to make the foundations of positioning, navigation, and timing services robust.

In August 2025, Topcon Healthcare, Inc. announced the acquisition of Intelligent Retinal Imaging Systems (IRIS), the U.S.-based pioneer in cloud-based retinal screening technology. This strategic acquisition marks a major step in enhancing Topcon Healthcare's presence in primary care, reinforcing its commitment to early disease detection through connected, data-driven care.

Sensor Types Covered:

  • Soil Moisture Sensors
  • Temperature Sensors
  • Nutrient Sensors
  • Humidity Sensors
  • Light Sensors
  • Water Quality Sensors
  • Other Sensor Types

Connectivity Technologies Covered:

  • Wired
  • Wireless

Farm Sizes Covered:

  • Small Farms
  • Medium Farms
  • Large Farms

Applications Covered:

  • Precision Farming
  • Soil Monitoring
  • Climate Monitoring
  • Crop Health Monitoring
  • Livestock Monitoring
  • Smart Greenhouses
  • Aquaculture
  • Other Applications

End Users Covered:

  • Farmers
  • Agricultural Cooperatives
  • Research Institutions
  • Public Sector
  • Agritech Service Providers
  • Other End Users

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 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 Agricultural IoT Sensors Market, By Sensor Type

  • 5.1 Introduction
  • 5.2 Soil Moisture Sensors
  • 5.3 Temperature Sensors
  • 5.4 Nutrient Sensors
  • 5.5 Humidity Sensors
  • 5.6 Light Sensors
  • 5.7 Water Quality Sensors
  • 5.8 Other Sensor Types

6 Global Agricultural IoT Sensors Market, By Connectivity Technology

  • 6.1 Introduction
  • 6.2 Wired
  • 6.3 Wireless
    • 6.3.1 Cellular
    • 6.3.2 Wi-Fi
    • 6.3.3 LoRaWAN
    • 6.3.4 Satellite
    • 6.3.5 Zigbee

7 Global Agricultural IoT Sensors Market, By Farm Size

  • 7.1 Introduction
  • 7.2 Small Farms
  • 7.3 Medium Farms
  • 7.4 Large Farms

8 Global Agricultural IoT Sensors Market, By Application

  • 8.1 Introduction
  • 8.2 Precision Farming
  • 8.3 Soil Monitoring
  • 8.4 Climate Monitoring
  • 8.5 Crop Health Monitoring
  • 8.6 Livestock Monitoring
  • 8.7 Smart Greenhouses
  • 8.8 Aquaculture
  • 8.9 Other Applications

9 Global Agricultural IoT Sensors Market, By End User

  • 9.1 Introduction
  • 9.2 Farmers
  • 9.3 Agricultural Cooperatives
  • 9.4 Research Institutions
  • 9.5 Public Sector
  • 9.6 Agritech Service Providers
  • 9.7 Other End Users

10 Global Agricultural IoT Sensors 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
    • 10.3.6 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
    • 10.4.6 South Korea
    • 10.4.7 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
  • 12.2 Yara International
  • 12.3 Trimble Inc.
  • 12.4 Teralytic
  • 12.5 AG Leader Technology
  • 12.6 Acclima
  • 12.7 Farmers Edge
  • 12.8 Pycno
  • 12.9 Raven Industries
  • 12.10 Sensoterra
  • 12.11 Sentera
  • 12.12 Texas Instruments
  • 12.13 CropX Technologies
  • 12.14 Libelium
  • 12.15 Monnit Corporation

List of Tables

  • Table 1 Global Agricultural IoT Sensors Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Agricultural IoT Sensors Market Outlook, By Sensor Type (2024-2032) ($MN)
  • Table 3 Global Agricultural IoT Sensors Market Outlook, By Soil Moisture Sensors (2024-2032) ($MN)
  • Table 4 Global Agricultural IoT Sensors Market Outlook, By Temperature Sensors (2024-2032) ($MN)
  • Table 5 Global Agricultural IoT Sensors Market Outlook, By Nutrient Sensors (2024-2032) ($MN)
  • Table 6 Global Agricultural IoT Sensors Market Outlook, By Humidity Sensors (2024-2032) ($MN)
  • Table 7 Global Agricultural IoT Sensors Market Outlook, By Light Sensors (2024-2032) ($MN)
  • Table 8 Global Agricultural IoT Sensors Market Outlook, By Water Quality Sensors (2024-2032) ($MN)
  • Table 9 Global Agricultural IoT Sensors Market Outlook, By Other Sensor Types (2024-2032) ($MN)
  • Table 10 Global Agricultural IoT Sensors Market Outlook, By Connectivity Technology (2024-2032) ($MN)
  • Table 11 Global Agricultural IoT Sensors Market Outlook, By Wired (2024-2032) ($MN)
  • Table 12 Global Agricultural IoT Sensors Market Outlook, By Wireless (2024-2032) ($MN)
  • Table 13 Global Agricultural IoT Sensors Market Outlook, By Cellular (2024-2032) ($MN)
  • Table 14 Global Agricultural IoT Sensors Market Outlook, By Wi-Fi (2024-2032) ($MN)
  • Table 15 Global Agricultural IoT Sensors Market Outlook, By LoRaWAN (2024-2032) ($MN)
  • Table 16 Global Agricultural IoT Sensors Market Outlook, By Satellite (2024-2032) ($MN)
  • Table 17 Global Agricultural IoT Sensors Market Outlook, By Zigbee (2024-2032) ($MN)
  • Table 18 Global Agricultural IoT Sensors Market Outlook, By Farm Size (2024-2032) ($MN)
  • Table 19 Global Agricultural IoT Sensors Market Outlook, By Small Farms (2024-2032) ($MN)
  • Table 20 Global Agricultural IoT Sensors Market Outlook, By Medium Farms (2024-2032) ($MN)
  • Table 21 Global Agricultural IoT Sensors Market Outlook, By Large Farms (2024-2032) ($MN)
  • Table 22 Global Agricultural IoT Sensors Market Outlook, By Application (2024-2032) ($MN)
  • Table 23 Global Agricultural IoT Sensors Market Outlook, By Precision Farming (2024-2032) ($MN)
  • Table 24 Global Agricultural IoT Sensors Market Outlook, By Soil Monitoring (2024-2032) ($MN)
  • Table 25 Global Agricultural IoT Sensors Market Outlook, By Climate Monitoring (2024-2032) ($MN)
  • Table 26 Global Agricultural IoT Sensors Market Outlook, By Crop Health Monitoring (2024-2032) ($MN)
  • Table 27 Global Agricultural IoT Sensors Market Outlook, By Livestock Monitoring (2024-2032) ($MN)
  • Table 28 Global Agricultural IoT Sensors Market Outlook, By Smart Greenhouses (2024-2032) ($MN)
  • Table 29 Global Agricultural IoT Sensors Market Outlook, By Aquaculture (2024-2032) ($MN)
  • Table 30 Global Agricultural IoT Sensors Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 31 Global Agricultural IoT Sensors Market Outlook, By End User (2024-2032) ($MN)
  • Table 32 Global Agricultural IoT Sensors Market Outlook, By Farmers (2024-2032) ($MN)
  • Table 33 Global Agricultural IoT Sensors Market Outlook, By Agricultural Cooperatives (2024-2032) ($MN)
  • Table 34 Global Agricultural IoT Sensors Market Outlook, By Research Institutions (2024-2032) ($MN)
  • Table 35 Global Agricultural IoT Sensors Market Outlook, By Public Sector (2024-2032) ($MN)
  • Table 36 Global Agricultural IoT Sensors Market Outlook, By Agritech Service Providers (2024-2032) ($MN)
  • Table 37 Global Agricultural IoT Sensors Market Outlook, By Other End Users (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.