IoT in Agriculture Market Surges

Revolutionizing farming with IoT technologies; boosting efficiency and sustainability.

WILMINGTON,NEW CASTLE, DELAWARE, UNITED STATES, June 3, 2024 /EINPresswire.com/ — According to a new report published by Allied Market Research, titled, “IOT in agriculture market,” The IOT in agriculture market Size was valued at $27.1 billion in 2021, and is estimated to reach $84.5 billion by 2031, growing at a CAGR of 12.6% from 2022 to 2031.

𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐒𝐚𝐦𝐩𝐥𝐞 𝐑𝐞𝐩𝐨𝐫𝐭 @

𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐎𝐟𝐟𝐞𝐫 𝐀𝐥𝐞𝐫𝐭! 🚀 𝐆𝐞𝐭 𝐚 𝐌𝐚𝐬𝐬𝐢𝐯𝐞 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐨𝐧 𝐘𝐨𝐮𝐫 𝐍𝐞𝐱𝐭 𝐏𝐮𝐫𝐜𝐡𝐚𝐬𝐞! 𝐁𝐮𝐲 𝐧𝐨𝐰 𝐚𝐧𝐝 𝐭𝐚𝐤𝐞 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 𝐨𝐟 𝐭𝐡𝐢𝐬 𝐥𝐢𝐦𝐢𝐭𝐞𝐝-𝐭𝐢𝐦𝐞 𝐨𝐟𝐟𝐞𝐫. 🛍️

IoT (Internet of Things) in agriculture refers to the use of connected devices and sensors to collect data on various aspects of agricultural operations. The data collected by these devices can be analyzed to provide insights and make data-driven decisions to optimize operations, increase efficiency, and improve crop yield and quality.

In agriculture, IoT devices can be used to monitor various factors such as soil moisture, temperature, humidity, rainfall, wind speed, and other environmental conditions that impact crop growth. They can also be used to monitor the health and well-being of livestock, including tracking their movement, feeding patterns, and overall health.

AI and smart farming technologies have the potential to address several challenges in agriculture, including labor shortages, productivity improvements, dependence on weather conditions, and market volatility.

The Internet of Things (IoT) in agriculture refers to the use of connected devices, sensors, and data analytics to optimize various farming activities and improve overall efficiency, productivity, and sustainability in the agricultural sector. The integration of IoT technologies in agriculture enables farmers to monitor and manage crops, livestock, and resources in real-time, leading to better decision-making and resource allocation.

𝐒𝐞𝐯𝐞𝐫𝐚𝐥 𝐟𝐚𝐜𝐭𝐨𝐫𝐬 𝐚𝐫𝐞 𝐝𝐫𝐢𝐯𝐢𝐧𝐠 𝐭𝐡𝐞 𝐠𝐫𝐨𝐰𝐭𝐡 𝐨𝐟 𝐭𝐡𝐞 𝐈𝐨𝐓 𝐢𝐧 𝐚𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞 𝐦𝐚𝐫𝐤𝐞𝐭

𝐃𝐞𝐦𝐚𝐧𝐝 𝐟𝐨𝐫 𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞:

Precision agriculture, which involves the use of technology to optimize crop management at a granular level, is gaining traction due to the need for increased efficiency and productivity in farming. IoT sensors and devices provide real-time data on soil moisture, temperature, humidity, and crop health, allowing farmers to precisely monitor and control conditions in their fields.

𝐑𝐢𝐬𝐢𝐧𝐠 𝐏𝐨𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐅𝐨𝐨𝐝 𝐃𝐞𝐦𝐚𝐧𝐝:

With the global population projected to reach 9 billion by 2050, there is growing pressure on the agricultural industry to produce more food using fewer resources. IoT technologies offer solutions for sustainable farming practices, such as water conservation, pest management, and optimized resource usage, to meet the increasing demand for food.

𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 𝐈𝐧𝐢𝐭𝐢𝐚𝐭𝐢𝐯𝐞𝐬 𝐚𝐧𝐝 𝐒𝐮𝐩𝐩𝐨𝐫𝐭:

Governments around the world are increasingly recognizing the potential of IoT in agriculture to address food security, mitigate climate change impacts, and boost rural economies. Many governments are implementing policies, funding research initiatives, and providing financial incentives to encourage the adoption of IoT technologies in farming.

𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭𝐬 𝐢𝐧 𝐒𝐞𝐧𝐬𝐨𝐫 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐚𝐧𝐝 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐯𝐢𝐭𝐲:

The proliferation of low-cost sensors, wireless connectivity, and cloud computing has made it more feasible for farmers to deploy IoT solutions on their farms. These technologies enable seamless data collection, transmission, and analysis, empowering farmers with actionable insights to optimize their operations.

𝐄𝐦𝐞𝐫𝐠𝐞𝐧𝐜𝐞 𝐨𝐟 𝐒𝐦𝐚𝐫𝐭 𝐅𝐚𝐫𝐦𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬:

A growing number of companies are developing integrated IoT platforms and smart farming solutions tailored to the needs of modern agriculture. These solutions offer features such as predictive analytics, remote monitoring, automated irrigation, and drone-based imaging, enabling farmers to make data-driven decisions and increase productivity.

𝐋𝐚𝐛𝐨𝐫 𝐒𝐡𝐨𝐫𝐭𝐚𝐠𝐞𝐬:

Automation: AI-powered robots and autonomous vehicles can perform tasks such as planting, harvesting, and weeding, reducing the reliance on human labor.
Remote Monitoring: AI-enabled cameras and sensors can monitor crops and livestock remotely, alerting farmers to issues that require immediate attention, reducing the need for on-site labor.

𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝 𝐭𝐨 𝐏𝐫𝐨𝐜𝐮𝐫𝐞 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐈𝐧𝐪𝐮𝐢𝐫𝐞 @

𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭𝐬:
Precision Agriculture: AI and data analytics can provide real-time information about soil health, nutrient levels, and crop conditions. Farmers can use this data to optimize irrigation, fertilization, and pest control, leading to increased yields and resource efficiency.

𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬:
AI can analyze historical data and current conditions to make predictions about crop yields, disease outbreaks, and pest infestations. Farmers can use these insights to make informed decisions.

𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐞 𝐨𝐧 𝐖𝐞𝐚𝐭𝐡𝐞𝐫 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬:
Controlled Environment Agriculture (CEA): AI-driven CEA systems, such as hydroponics and vertical farming, allow farmers to grow crops in controlled indoor environments, reducing the impact of adverse weather conditions.

𝐖𝐞𝐚𝐭𝐡𝐞𝐫 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠:
AI can provide more accurate and localized weather forecasts, helping farmers plan their activities and mitigate the risks associated with extreme weather events.

𝐌𝐚𝐫𝐤𝐞𝐭 𝐕𝐨𝐥𝐚𝐭𝐢𝐥𝐢𝐭𝐲:
Demand Forecasting: AI can analyze market data, historical trends, and consumer behavior to provide accurate demand forecasts. Farmers can adjust their planting and production accordingly, reducing the risk of oversupply or shortages.

𝐏𝐫𝐢𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧:
AI algorithms can help farmers optimize pricing strategies based on market conditions and production costs, maximizing profitability.

𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲:
Resource Management: AI can optimize the use of resources such as water, energy, and fertilizers, reducing waste and environmental impact.

𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐅𝐚𝐫𝐦𝐢𝐧𝐠 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬:
Smart farming technologies can support sustainable practices like crop rotation and organic farming by providing data-driven insights into soil health and pest management.

𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐌𝐚𝐤𝐢𝐧𝐠

𝐅𝐚𝐫𝐦 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬:
AI-powered farm management platforms integrate data from various sources, enabling farmers to make data-driven decisions and manage their operations more efficiently.

𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧:
AI can improve logistics and supply chain management, reducing post-harvest losses and ensuring that products reach markets in a timely manner.

The Internet of Things (IoT) in agriculture market faces several challenges, including high costs of IoT devices, limited internet connectivity in rural areas, and concerns about data security and privacy. These factors can indeed hinder the market growth, particularly for small-scale farmers and those in developing countries.

The cost barrier associated with IoT devices and related technologies can make it difficult for small-scale farmers to invest in these solutions, limiting their ability to adopt modern farming practices. Additionally, the lack of reliable internet connectivity in rural areas poses challenges for transmitting data from IoT devices to cloud-based platforms for analysis and decision-making.

Data security and privacy concerns also play a significant role in hindering the adoption of IoT in agriculture. Farmers may be hesitant to share sensitive data with third-party providers due to fears of data breaches or misuse, potentially limiting the effectiveness of IoT solutions in optimizing farming operations.

Despite these challenges, the IoT in agriculture market is segmented based on various factors such as system, application, farm size, and region. The market includes systems such as automation and control systems, sensing and monitoring devices, livestock monitoring hardware, smart greenhouse hardware, and software. Applications of IoT in agriculture include precision farming, livestock monitoring, smart greenhouse management, and fish farm monitoring. Farm sizes are categorized as large, medium, and small. The market is analyzed across regions including North America, Europe, Asia-Pacific, and LAMEA.

𝐆𝐞𝐭 𝐘𝐨𝐮𝐫 𝐑𝐞𝐩𝐨𝐫𝐭 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐞𝐝 @

Major players in the global IoT in agriculture market include Cisco Systems, Inc., IBM (International Business Machines Corporation), Telit, Hitachi, Ltd, Decisive Farming, Trimble Inc., OnFarm Systems Inc., Farmers Edge Inc., SlantRange, Inc., and The Climate Corporation. These companies are at the forefront of developing IoT solutions tailored to the needs of the agriculture industry, aiming to address the challenges and unlock the potential of IoT in improving farming practices worldwide.

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

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David Correa
Allied Market Research
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