[197 Pages Report] The Agriculture IoT Market size was estimated at USD 12.33 billion in 2023 and expected to reach USD 13.92 billion in 2024, at a CAGR 14.08% to reach USD 31.03 billion by 2030.

Agriculture IoT refers to the application of modern IoT technologies to the agricultural industry. This innovative approach entails incorporating various IoT devices, such as sensors, drones, GPS systems, and other connected equipment that can collect and transmit data regarding crop health, soil conditions, weather patterns, and livestock. The agriculture Internet of Things (IoT) market comprises devices and solutions that harness the power of connected sensors, actuators, and other devices to optimize farming practices. The rising demand for agricultural production owing to the increasing population and increased approach of precision agriculture techniques to farming are driving the market growth. Moreover, a focus on livestock monitoring and disease detection in plants to improve farming efficiency also fuels market development. The lack of skilled farmers for implementing IoT in agriculture and the risk associated with the data security of IoT can limit market growth. Government initiatives for encouraging modernized farming techniques, along with technological advancements and rising investments in IoT, are expected to create expansion opportunities.

Component: Growing adoption of advanced drones for aerial surveillance by the larger farms

In Agriculture IoT, hardware components are the foundation, including sensors, GPS systems, control systems, and various monitoring devices. These are deployed directly into agricultural environments to collect data on soil conditions, crop health, weather patterns, and livestock biometrics. Monitoring hardware for fish farms is essential for ensuring the optimal health and growth of aquatic life. These systems encompass a variety of sensors and devices that continuously assess water quality parameters such as temperature, oxygen levels, pH, and salinity. Livestock monitoring systems are a critical component in managing animal health and productivity. These systems typically include RFID tags for identification, GPS collars for location tracking, and biometric sensors for monitoring vital signs and behaviors such as eating, rumination, and activity levels. Precision agriculture and forestry hardware encompasses tools and devices designed to increase the efficiency of crop and forest management. This includes GPS-guided tractors, drones for aerial observation and spraying, soil sensors for nutrient and moisture content monitoring, and yield monitors on harvesters. Smart greenhouse hardware comprises a network of sensors and automated systems that manage the environmental conditions within a greenhouse. Key components include temperature, humidity, and CO2 sensors, along with automatic irrigation, ventilation, and shading systems. The services segment in Agriculture IoT includes deployment, integration, consulting, managed services, and maintenance support. Professionals analyze the collected data and provide actionable insights to improve productivity and efficiency. Software in Agriculture IoT encompasses the platforms and applications used for data analysis, decision support, and the overall management of IoT devices. It includes data analytics platforms, user interfaces, and mobile applications.

Application: Rising adoption of IoT devices to improve the quantity and quality of livestock production

Fish farm monitoring applications involve the use of various IoT devices and sensors that are used to collect and analyze data to optimize aquaculture operations. This can include water quality sensors (such as temperature, pH, and dissolved oxygen), feeding system automation, and fish health monitoring. These systems are designed to improve the efficiency of resource use, minimize environmental impacts, and increase productivity. Advanced fish farm monitoring applications leverage IoT (Internet of Things) technologies to regulate feeding schedules, quantify feed dispersion, and analyze consumption patterns. IoT-enabled fish tracking and fleet navigation systems are essential for the surveillance and operational management of expansive aquaculture farms. Tags or sensors are implemented to monitor the location and movement of fish, allowing for detailed behavioral studies and the prevention of escapees, which can disrupt local ecosystems. Water quality is paramount in aquaculture, as it directly impacts fish health, growth rates, and survival. IoT-based water quality management systems in fish farm monitoring applications offer continuous, automated monitoring of critical parameters such as dissolved oxygen, pH, temperature, turbidity, and salinity.

Livestock monitoring applications leverage IoT technologies to track the health and well-being of animals, as well as to optimize their management. This can include activity trackers, health condition monitoring, and environmental condition monitoring within the livestock facilities to improved animal welfare, disease prevention, and increased productivity. Agricultural IoT solutions enhance livestock monitoring by incorporating a variety of sensors to track health, location, and well-being of animals. These technologies enable farmers to receive real-time data, facilitating timely interventions to improve livestock conditions, prevent disease outbreaks, and increase overall herd performance. Ensuring that livestock animals are in a comfortable environment is crucial for their health and productivity. IoT applications can monitor and control barn conditions, including temperature, humidity, and ventilation settings. This data-driven approach ensures the optimal living conditions for animals, significantly impacting their growth and yield. IoT devices are revolutionizing feeding practices by providing precise control over feed distribution, quantities, and schedules. Smart feeding systems can adjust diets based on individual animal requirements, thereby improving nutrition, reducing waste, and contributing to more sustainable farming practices. Through the deployment of sensors and wearables, farmers can monitor behavior patterns that indicate health or well-being issues. Identifying changes in activity levels, social interactions, or eating habits can provide early warnings of potential problems, allowing for proactive health management. IoT technologies play a pivotal role in enhancing breeding programs. By closely monitoring fertility signals and hormonal changes, IoT devices can predict the optimal breeding times, increasing the chances of successful insemination and improving genetic lines within the herd. High temperatures can adversely affect livestock productivity and health. IoT-based heat stress management systems continuously assess the thermal conditions affecting the herd and provide alerts for when interventions are necessary to cool down animals, thereby mitigating the risks associated with heat stress. Automated milking systems integrated with IoT technologies gather data on milk quantity, quality, and milking speed. This information not only aids in streamlining the milk production process but also provides insights on individual animal health, ultimately leading to improved milk yield and quality.

Precision farming applications encompass a broad range of technologies that enable the monitoring and optimization of field-level management with regard to crop farming. Precision farming enables operators to manage fields at a micro-level, significantly improving yield while reducing resource inputs such as fertilizers and water. The integration of IoT devices and software in crop scouting allows for the efficient monitoring of crop health and soil conditions. By using drones or satellite imagery equipped with sensors, farmers can identify pest infestations, diseases, and nutrient deficiencies at an early stage. Farm labor management systems streamlined by IoT technologies help in tracking labor efficiency, assigning tasks, and monitoring work hours and productivity. Farmers can better manage their workforce by utilizing mobile devices and cloud-based platforms to easily communicate tasks and monitor their completion, optimizing labor costs and enhancing farm operation efficiency. Yield monitoring systems, often integrated into harvesting equipment, collect data on crop yield variability within fields. This data, when analyzed, helps farmers understand the relationship between different farming practices and yield outcomes. Field mapping technologies use GPS and GIS (geographical information systems) to create detailed maps that reflect the variability in soil properties, topography, and crop yield across different sections of a farm. These maps are pivotal for site-specific crop management, allowing for tailored applications of fertilizers, pesticides, and seeds, which can lead to reduced waste and increased farm profitability. Precision farming technologies also extend to financial management, where farmers can leverage data analytics to forecast revenue, track expenses, and manage risk. By integrating financial data with field-level information, farmers can make data-driven decisions to invest in parts of their operations that show the highest return on investment, ensuring long-term economic sustainability. IoT solutions in precision farming allow for real-time tracking of seed, fertilizer, chemicals, and fuel inventories, leading to timely reordering and reduction in storage costs. Irrigation management systems enhanced with IoT sensors can monitor soil moisture levels, optimizing water usage across different field zones. IoT devices, such as on-farm weather stations, combined with predictive analytics, contribute to comprehensive weather tracking and forecasting tailored for agricultural needs.

Precision forestry applies principles similar to precision farming but focuses on forest management, including monitoring tree growth and health and optimizing logging operations. IoT devices can be used to track the location and condition of trees and assets and to monitor environmental conditions that affect forest health. Agriculture IoT has dramatically transformed the field of genetics and nursery practices within forestry. IoT enables precise monitoring and control of environmental conditions, ensuring optimal growth conditions for tree seedlings. Harvesting management has seen significant improvements through the integration of IoT devices. Machinery equipped with GPS and real-time data transmission can optimize cutting paths, reduce fuel consumption, and minimize damage to the forest floor. IoT technology enables more accurate and efficient inventory and logistics management in forestry. Sensors can track timber as it moves from the forest to the mill, improving traceability and reducing losses. Real-time data on timber location and transportation conditions can streamline logistics, ensuring that resource allocation aligns with processing and market demands. Silviculture practices, which involve the cultivation and care of forest trees, are increasingly informed by IoT data. Sensors provide continuous data on environmental factors that influence tree growth and forest health, enabling more knowledgeable silvicultural decisions. Smart greenhouse applications involve the automated and controlled environment of a greenhouse. IoT technologies monitor and control factors such as temperature, humidity, light exposure, and irrigation. This results in more efficient use of resources, improved plant growth, and potentially higher yields. Heating, Ventilation, and Air Conditioning (HVAC) systems in smart greenhouses are sophisticated and vital for maintaining the perfect growing climate. IoT technology can be instrumental in managing HVAC by continuously monitoring climate conditions and adjusting settings in real-time for maximized plant growth and energy efficiency. Smart irrigation systems utilize soil moisture sensors to determine when crops need watering, reducing water waste and ensuring plants receive the precise amount of water at the right time. Yield monitoring is an essential aspect of agricultural operations. IoT-enabled devices allow for tracking data regarding plant growth, fruit size, and overall yield. These devices gather data that can be analyzed to inform decisions around harvesting, market timing, and future cultivation plans.

Regional Insights

In the Americas, demand for Agriculture IoT solutions is largely driven by the push for increased efficiency and productivity on large-scale farms. The adoption of precision farming, which leverages data collection and analysis for decision-making, has gained significant traction, particularly in the United States, Canada, and Brazil. Government support through subsidies and grants and collaboration between tech firms and agricultural companies play crucial roles in driving the market forward. The Asia-Pacific region is witnessing a rapid boost in the demand for Agriculture IoT, driven by a growing population and the need for enhanced food security. Countries such as China, India, and Australia are investing heavily in smart farming technologies to modernize their agricultural sectors. Constraints such as limited arable land and water scarcity have led to adopting technologies for precise irrigation and monitoring. Government initiatives also promote deploying smart agricultural practices to boost productivity and support small to medium-sized farmholders. In the EMEA region, Europe stands out as an early adopter of IoT in agriculture with a substantial focus on sustainability and animal welfare. The European Union supports the transition to smart agriculture through research funding and policy frameworks. In the Middle East, adoption is driven by the necessity to tackle extreme weather conditions and water scarcity, leading to an interest in precision agriculture and greenhouses. While still at nascent stages, Africa is showing potential for IoT to leapfrog traditional agricultural practices, guided by mobile technology proliferation and external investments.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Agriculture IoT Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Agriculture IoT Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Agriculture IoT Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, AGCO Corporation, AgriData Incorporated, Aker Technologies, Arable, Azotic Technologies, Bright Wolf by Cognizant, Ceres Imaging, Inc., Deere & Company, Delaval, Inc., DroneDeploy, Inc., ECF Farmsystems, Farmers Edge, Inc., Flux Farm, Inc., Gamamya S.A., GEA Group Aktiengesellschaft, Hexagon AB, Hitachi, Ltd., International Business Management Corporation, Kubota Corp., Merck and Co. Inc., Ponsse Oyj, Raven Industries, Inc., SemiosBio Technologies Inc., SlantRange, Inc., SZ DJI Technology Co., Ltd., Topcon Positioning Systems, Inc., and Zyter, Inc..

Market Segmentation & Coverage

This research report categorizes the Agriculture IoT Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Component
    • Hardware
      • Fish Farm Monitoring Hardware
      • Livestock Monitoring Hardware
      • Precision Farming & Forestry Hardware
      • Smart Greenhouse Hardware
    • Services
    • Software
  • Application
    • Fish Farm Monitoring Application
      • Feeding Management
      • Fish Tracking & Fleet Navigation
      • Water Quality Management
    • Livestock Monitoring Application
      • Animal Comfort Management
      • Animal Feeding Management
      • Behavior Monitoring & Management
      • Breeding Management
      • Heat Stress Management
      • Milk Harvesting Management
    • Precision Farming Application
      • Crop Scouting
      • Farm Labor Management
      • Farm Yield Monitoring
      • Field Mapping
      • Financial Management
      • Inventory Management
      • Irrigation Management
      • Weather Tracking & Forecasting
    • Precision Forestry Application
      • Genetics & Nursery
      • Harvesting Management
      • Inventory & Logistics Management
      • Silviculture & Fire Management
    • Smart Greenhouse Application
      • HVAC Management
      • Water & Fertilizer Management
      • Yield Monitoring

  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects:

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

  1. What is the market size and forecast of the Agriculture IoT Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Agriculture IoT Market?
  3. What are the technology trends and regulatory frameworks in the Agriculture IoT Market?
  4. What is the market share of the leading vendors in the Agriculture IoT Market?
  5. Which modes and strategic moves are suitable for entering the Agriculture IoT Market?