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1933094

全球農業物聯網感測器市場預測（至2032年），按感測器類型、連接技術、農場規模、應用、最終用戶和地區分類

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個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球農業物聯網感測器市場價值將達到 25.8 億美元，到 2032 年將達到 57.7 億美元，在預測期內的複合年成長率為 12.2%。

農業物聯網感測器是指部署在農業環境中的智慧感測技術，用於持續追蹤田間、作物、天氣和牲畜等變數。它們測量水分含量、溫度、濕度、土壤養分和作物狀況等因素，並透過聯網將資訊傳輸至數位化管理系統。由此產生的洞察數據能夠更好地控制灌溉、施肥和作物健康管理，從而支持精密農業實踐，最終提高產量、減少投入浪費，並實現永續效率的農業生產。

技術成熟度和連接性

感測器、雲端運算和無線通訊技術的日益融合，使得土壤、作物和牲畜的即時監測成為可能。智慧型設備和低成本的物聯網網路正使精密農業解決方案更加可靠、準確和便利。農民可以利用數據分析做出明智的決策，從而提高生產力並減少資源浪費。新興的人工智慧演算法和機器學習模型正在提升對天氣、灌溉和作物健康的預測能力。自動化和互聯互通的結合也促進了大型農場的遠端系統管理，從而最佳化勞動力和營運效率。隨著全球數位基礎設施的日趨成熟，農業物聯網解決方案的普及速度預計將顯著加快。

缺乏技術素養

許多使用者難以操作進階監控系統並解讀複雜的資料輸出。訓練不足和認知匱乏阻礙了感測器技術的充分利用。在數位基礎設施薄弱的地區，連接性和維護問題進一步加劇了推廣應用的挑戰。Start-Ups和供應商在為非技術用戶設計使用者友善介面方面也面臨挑戰。知識鴻溝延緩了智慧解決方案融入傳統農業實踐的進程。

畜牧業及水產養殖監測

對動物健康、飼料和水質的即時監測能夠最佳化生產力並減少疾病爆發。感測器追蹤溫度、濕度和環境壓力因素，從而實現預防性干預。魚類和家禽養殖場可受益於自動化飼餵系統和預警功能。與行動應用程式整合後，養殖戶可以遠端監控營運狀況，節省時間和人力成本。長期資料收集有助於制定更優的繁殖、營養管理和福利策略。隨著全球對蛋白質來源的需求不斷成長，基於感測器的畜牧和水產養殖監測已成為一個重要的成長領域。

資料隱私與網路安全風險

駭客可以利用連網設備的漏洞存取敏感的農場資料。未授權存取可能導致營運設定、產量和牲畜記錄被篡改。中小農場往往缺乏有效的網路安全措施。不同地區對國際資料保護標準的遵守情況也各不相同。資料外洩的風險可能會阻礙農民採用智慧解決方案。各公司正致力於透過投資加密技術、安全雲端平台和定期審核來降低潛在威脅。

新冠疫情的感染疾病：

新冠疫情對農業物聯網感測器市場造成了衝擊，供應鏈中斷和技術應用延遲是主要原因。封鎖措施限制了農場的准入，導致新設備的安裝和培訓計劃延期。然而，隨著農民尋求非接觸式管理解決方案，這場危機加速了遠端監控技術的普及。自動化灌溉、土壤和牲畜感測器的需求顯著成長。物聯網平台使農場能夠在勞動力短缺的情況下繼續運作。政府和私人企業也積極支持數位農業舉措，以維持生產力。

在預測期內，土壤濕度感測器細分市場將佔據最大的市場佔有率。

由於土壤濕度感測器在灌溉管理中發揮著至關重要的作用，預計在預測期內，土壤濕度感測器將佔據最大的市場佔有率。這些感測器有助於最佳化用水，減少浪費，提高作物產量。在水資源短缺問題突出的已開發地區和新興地區，土壤濕度感測器正被廣泛應用。與自動化灌溉系統整合，可提高效率並減少人工監測。技術進步使這些感測器更加精準、經濟高效且易於部署。土壤濕度資料也有助於進行預測分析，以便更好地進行作物種植規劃。

在預測期內，智慧溫室細分市場將實現最高的複合年成長率。

預計在預測期內，智慧溫室領域將實現最高成長率。這些設施整合了物聯網感測器，用於監測溫度、濕度、光照強度和土壤養分。自動化氣候控制和灌溉系統能夠提高作物品質並降低營運成本。這項技術實現了全年種植，最大限度地利用有限的空間提高產量。數據驅動的洞察有助於農民最佳化植物生長並降低能源消耗。對高價值作物和可控環境農業的需求正在推動全球的普及應用。

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，這主要得益於該地區龐大的農業基礎以及對智慧農業日益成長的投資。中國、印度和日本等國家正積極採用精密農業解決方案和現代化農業基礎設施。政府推動數位農業發展的措施也進一步促進了市場成長。物聯網技術的快速普及幫助農民提高產量和營運效率。全球技術供應商與本地合作夥伴之間的合作正在擴大技術的可及性。

複合年成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於精密農業的快速普及，以提高作物產量和資源利用效率。人口成長帶來的糧食需求增加，以及耕地面積的減少，促使農民轉向以感測器為基礎的土壤、天氣和作物健康監測。政府對智慧農業的大力支持、智慧型手機和網路普及率的提高，以及農業技術Start-Ups的擴張，進一步推動了中國、印度和澳洲等國的市場成長。

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目錄

第1章執行摘要

第2章 前言

  • 概括
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

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. 全球農業物聯網感測器市場（按感測器類型分類）

  • 土壤濕度感測器
  • 溫度感測器
  • 營養感測器
  • 濕度感測器
  • 光學感測器
  • 水質感測器
  • 其他

6. 全球農業物聯網感測器市場（按連接技術分類）

  • 有線
  • 無線的
    • 細胞
    • Wi-Fi
    • LoRaWAN
    • 衛星
    • Zigbee

7. 按農場規模分類的全球農業物聯網感測器市場

  • 小規模農場
  • 中型農場
  • 大型農場

8. 全球農業物聯網感測器市場（按應用分類）

  • 精密農業
  • 土壤監測
  • 氣候監測
  • 作物健康監測
  • 牲畜監測
  • 智慧溫室
  • 水產養殖
  • 其他

9. 全球農業物聯網感測器市場（按最終用戶分類）

  • 農民
  • 農業合作社
  • 研究所
  • 公共部門
  • 農業科技服務供應商
  • 其他

第10章 全球農業物聯網感測器市場（按地區分類）

  • 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
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 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
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：企業概況

  • 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.