(MENAFN- GlobeNewsWire - Nasdaq) The global market presents key opportunities in precision agriculture, driven by increasing global food demand and the need for resource optimization and sustainability. AI-powered predictive analytics offers proactive farm management, improving efficiency and addressing labor challenges. However, high initial costs limit adoption.Dublin, Dec. 02, 2025 (GLOBE NEWSWIRE) -- The "IoT in Farming Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2020-2030F" has been added to ResearchAndMarkets's offering.
The Global IoT In Farming Market, valued at USD 12.04 Billion in 2024, is projected to experience a CAGR of 8.63% to reach USD 19.78 Billion by 2030. This market's growth is primarily supported by the escalating global demand for food, the critical need for enhanced resource optimization including water and fertilizers, and the imperative to improve operational efficiency across agricultural practices.
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Key Market Drivers
The global IoT in farming market is significantly propelled by the increasing demand for precision agriculture and sustainable practices. Farmers are increasingly adopting IoT solutions to optimize resource utilization, reduce environmental impact, and enhance long-term farm viability. These technologies enable precise monitoring of soil conditions, crop health, and localized weather patterns, facilitating targeted application of water, fertilizers, and pesticides.
This data-driven approach minimizes waste, improves yields, and supports eco-friendly farming methods. For instance, according to the U.S. Department of Agriculture Economic Research Service, in December 2024, "America's Farms and Ranches at a Glance", 68% of large-scale crop-producing farms in the United States utilized precision agriculture technologies in 2023, demonstrating a substantial commitment to advanced farming methods.
Key Market Challenges
A significant challenge impeding the expansion of the Global IoT in Farming Market is the substantial initial capital investment required for acquiring and implementing IoT technologies. This considerable upfront cost creates a notable barrier, particularly for small and medium-sized agricultural enterprises that often possess limited capital. Consequently, many farms are unable to adopt advanced IoT solutions, which directly restricts the broader market penetration of these innovations.
Key Market Trends
AI-Powered Predictive Analytics in Agriculture represents a pivotal shift towards proactive farm management, moving beyond reactive responses to real-time data. This trend leverages artificial intelligence to analyze vast datasets encompassing weather patterns, soil conditions, crop health, and historical yield data, enabling farmers to forecast potential issues and optimize decision-making for planting, irrigation, fertilization, and pest control.
Such analytical capabilities directly contribute to improved resource utilization and enhanced productivity. For instance, according to the American Farm Bureau Federation, approximately 2.4 million farm jobs need to be filled annually, underscoring a significant labor challenge that AI-powered automation and predictive insights can help mitigate.
Key Market Players Profiled:
Deere & Company Trimble Inc. Raven Industries Inc. AKVA group DeLaval, Inc. Topcon Positioning Systems Inc. AgJunction Inc. Allflex USA, Inc. TeeJet Technologies Illinois, Inc. Farmers Edge, Inc.
Report Scope
In this report, the Global IoT In Farming Market has been segmented into the following categories:
By Component:
Hardware Software Services
By Application:
Precision Farming Smart Greenhouse Livestock Monitoring Smart Irrigation Others
By Region:
North America Europe Asia-Pacific South America Middle East & Africa
Key Attributes
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