Agricultural Iot Sensors Market
PUBLISHED: 2026 ID: SMRC33662
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Agricultural Iot Sensors Market

Agricultural IoT Sensors Market Forecasts to 2032 - Global Analysis By Sensor Type (Soil Moisture Sensors, Temperature Sensors, Nutrient Sensors, Humidity Sensors, Light Sensors, Water Quality Sensors, and Other Sensor Types), Connectivity Technology, Farm Size, Application, End User and By Geography

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4.8 (90 reviews)
Published: 2026 ID: SMRC33662

Due to ongoing shifts in global trade and tariffs, the market outlook will be refreshed before delivery, including updated forecasts and quantified impact analysis. Recommendations and Conclusions will also be revised to offer strategic guidance for navigating the evolving international landscape.
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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
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan       
o China       
o India       
o Australia 
o New Zealand
o South Korea
o Rest of Asia Pacific   
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o 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
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o 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         
1 Global Agricultural IoT Sensors Market Outlook, By Region (2024-2032) ($MN)  
2 Global Agricultural IoT Sensors Market Outlook, By Sensor Type (2024-2032) ($MN)  
3 Global Agricultural IoT Sensors Market Outlook, By Soil Moisture Sensors (2024-2032) ($MN) 
4 Global Agricultural IoT Sensors Market Outlook, By Temperature Sensors (2024-2032) ($MN) 
5 Global Agricultural IoT Sensors Market Outlook, By Nutrient Sensors (2024-2032) ($MN) 
6 Global Agricultural IoT Sensors Market Outlook, By Humidity Sensors (2024-2032) ($MN) 
7 Global Agricultural IoT Sensors Market Outlook, By Light Sensors (2024-2032) ($MN) 
8 Global Agricultural IoT Sensors Market Outlook, By Water Quality Sensors (2024-2032) ($MN) 
9 Global Agricultural IoT Sensors Market Outlook, By Other Sensor Types (2024-2032) ($MN) 
10 Global Agricultural IoT Sensors Market Outlook, By Connectivity Technology (2024-2032) ($MN)
11 Global Agricultural IoT Sensors Market Outlook, By Wired (2024-2032) ($MN)  
12 Global Agricultural IoT Sensors Market Outlook, By Wireless (2024-2032) ($MN)  
13 Global Agricultural IoT Sensors Market Outlook, By Cellular (2024-2032) ($MN)  
14 Global Agricultural IoT Sensors Market Outlook, By Wi-Fi (2024-2032) ($MN)  
15 Global Agricultural IoT Sensors Market Outlook, By LoRaWAN (2024-2032) ($MN)  
16 Global Agricultural IoT Sensors Market Outlook, By Satellite (2024-2032) ($MN)  
17 Global Agricultural IoT Sensors Market Outlook, By Zigbee (2024-2032) ($MN)  
18 Global Agricultural IoT Sensors Market Outlook, By Farm Size (2024-2032) ($MN)  
19 Global Agricultural IoT Sensors Market Outlook, By Small Farms (2024-2032) ($MN)  
20 Global Agricultural IoT Sensors Market Outlook, By Medium Farms (2024-2032) ($MN) 
21 Global Agricultural IoT Sensors Market Outlook, By Large Farms (2024-2032) ($MN)  
22 Global Agricultural IoT Sensors Market Outlook, By Application (2024-2032) ($MN)  
23 Global Agricultural IoT Sensors Market Outlook, By Precision Farming (2024-2032) ($MN) 
24 Global Agricultural IoT Sensors Market Outlook, By Soil Monitoring (2024-2032) ($MN) 
25 Global Agricultural IoT Sensors Market Outlook, By Climate Monitoring (2024-2032) ($MN) 
26 Global Agricultural IoT Sensors Market Outlook, By Crop Health Monitoring (2024-2032) ($MN)
27 Global Agricultural IoT Sensors Market Outlook, By Livestock Monitoring (2024-2032) ($MN) 
28 Global Agricultural IoT Sensors Market Outlook, By Smart Greenhouses (2024-2032) ($MN) 
29 Global Agricultural IoT Sensors Market Outlook, By Aquaculture (2024-2032) ($MN)  
30 Global Agricultural IoT Sensors Market Outlook, By Other Applications (2024-2032) ($MN) 
31 Global Agricultural IoT Sensors Market Outlook, By End User (2024-2032) ($MN)  
32 Global Agricultural IoT Sensors Market Outlook, By Farmers (2024-2032) ($MN)  
33 Global Agricultural IoT Sensors Market Outlook, By Agricultural Cooperatives (2024-2032) ($MN)
34 Global Agricultural IoT Sensors Market Outlook, By Research Institutions (2024-2032) ($MN) 
35 Global Agricultural IoT Sensors Market Outlook, By Public Sector (2024-2032) ($MN) 
36 Global Agricultural IoT Sensors Market Outlook, By Agritech Service Providers (2024-2032) ($MN)
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.

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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