Internet of Things in Precision Agriculture

Global Internet of Things in Precision Agriculture Market to Reach US$17.2 Billion by 2030

The global market for Internet of Things in Precision Agriculture estimated at US$6.6 Billion in the year 2024, is expected to reach US$17.2 Billion by 2030, growing at a CAGR of 17.2% over the analysis period 2024-2030. Hardware, one of the segments analyzed in the report, is expected to record a 18.6% CAGR and reach US$11.1 Billion by the end of the analysis period. Growth in the Software segment is estimated at 15.5% CAGR over the analysis period.

The U.S. Market is Estimated at US$1.7 Billion While China is Forecast to Grow at 16.2% CAGR

The Internet of Things in Precision Agriculture market in the U.S. is estimated at US$1.7 Billion in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$2.6 Billion by the year 2030 trailing a CAGR of 16.2% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 16.1% and 14.7% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 12.5% CAGR.

Global Internet of Things (IoT) in Precision Agriculture Market – Key Trends & Drivers Summarized

Why Is IoT Transforming the Landscape of Precision Agriculture Worldwide?

The integration of Internet of Things (IoT) technologies into precision agriculture is revolutionizing how farmers monitor, manage, and optimize crop production. IoT enables real-time data collection from interconnected devices—such as soil sensors, weather stations, drones, GPS-enabled machinery, and smart irrigation systems—which allows farmers to make data-driven decisions that enhance yield, reduce resource use, and improve sustainability. Unlike traditional farming, which relies heavily on intuition or periodic field inspections, precision agriculture powered by IoT offers continuous visibility into crop health, field conditions, equipment status, and weather dynamics.

By combining sensor data with analytics, AI, and machine learning algorithms, farmers can fine-tune practices such as fertilizer application, irrigation scheduling, pest control, and harvest timing. The result is not only greater productivity and profitability but also reduced environmental impact. IoT systems help detect anomalies early—such as disease outbreaks or soil nutrient deficiencies—enabling targeted interventions and minimizing crop loss. As agriculture faces the dual challenges of feeding a growing global population and adapting to climate change, IoT is becoming a cornerstone technology for resilient, efficient, and scalable farming.

What Technological Advancements Are Accelerating the Adoption of IoT in Agriculture?

The IoT in precision agriculture is evolving rapidly due to advances in connectivity, sensor miniaturization, and cloud computing. Low-power wide-area networks (LPWAN) such as LoRaWAN, NB-IoT, and Sigfox are enabling long-range, cost-effective communication between field devices and data platforms, even in remote areas with limited cellular coverage. The integration of satellite connectivity is further enhancing remote monitoring capabilities for large-scale or geographically dispersed farms.

Multi-parameter sensors capable of measuring soil moisture, pH, temperature, nutrient levels, and crop growth indicators are becoming more compact, energy-efficient, and affordable. These sensors feed data into centralized platforms that use edge computing to process information locally and deliver actionable insights with minimal latency. The use of autonomous drones and robotic field vehicles is also on the rise, equipped with high-resolution cameras, multispectral imaging systems, and AI-driven pathfinding capabilities for real-time crop analysis and spraying.

Cloud-based dashboards and mobile apps give farmers user-friendly access to data visualizations, automated alerts, and decision-support tools. Integrations with farm management software and ERP systems allow for streamlined logistics, inventory tracking, and traceability. Moreover, predictive analytics based on historical and live data is improving the accuracy of yield forecasting, disease modeling, and climate adaptation strategies.

Which Segments of the Agriculture Sector Are Leading IoT Adoption Globally?

Row crops such as wheat, corn, soybeans, and rice are among the largest beneficiaries of IoT in precision agriculture, given the scale and input-intensive nature of their cultivation. These crops require extensive monitoring for soil health, irrigation efficiency, and pest management—making them ideal for automation and remote sensing. IoT-based variable rate technology (VRT) is widely used in these systems to adjust seeding, fertilization, and spraying practices on a zone-by-zone basis within large fields.

High-value crops such as fruits, vegetables, and vineyards are also driving adoption due to their sensitivity to environmental conditions and the economic impact of spoilage or suboptimal yields. Greenhouses and vertical farms are leveraging IoT for microclimate control, CO2 optimization, and hydroponic nutrient management. Livestock and dairy operations are integrating smart wearables and RFID systems to monitor animal health, behavior, and reproduction, further expanding the scope of IoT beyond crop farming.

Developed markets in North America and Europe are leading adoption due to advanced infrastructure, favorable government initiatives, and strong agritech ecosystems. However, emerging regions in Asia-Pacific, Latin America, and parts of Africa are increasingly investing in IoT-enabled solutions to modernize their agriculture, address water scarcity, and improve food security. Multinational agribusinesses, government-backed smart farming programs, and rural connectivity initiatives are playing key roles in expanding the global reach of IoT in agriculture.

The Growth in the IoT in Precision Agriculture Market Is Driven by Several Factors…

The growth in the IoT in precision agriculture market is driven by several factors including rising demand for food production efficiency, labor shortages in farming, and the increasing need to manage agricultural inputs with precision. Environmental concerns related to water scarcity, soil degradation, and carbon emissions are encouraging the adoption of technology that enables sustainable farming practices. Governments and international agencies are also supporting digital agriculture initiatives with subsidies, infrastructure development, and research funding.

Technological convergence with AI, machine learning, robotics, and big data analytics is enhancing the value proposition of IoT, enabling smarter decision-making and long-term farm optimization. The proliferation of affordable sensor networks, robust cloud platforms, and scalable connectivity solutions is lowering the barriers to entry for small and mid-sized farms. As climate volatility continues to impact agricultural output and global food supply chains, IoT-powered precision agriculture is emerging as a critical tool for ensuring food resilience, farmer profitability, and ecosystem stewardship across the globe.

SCOPE OF STUDY:

The report analyzes the Internet of Things in Precision Agriculture market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Component (Hardware, Software, Services); System (Sensing System, Communication System, Cloud Computing, Data Management System); Application (Weather Tracking & Forecasting, Yield Monitoring & Farm Mapping, Crop Scouting, Irrigation Management, Other Applications)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 48 Featured) -

• Ag Leader Technology
• AGCO Corporation
• AgEagle Aerial Systems Inc.
• Climate LLC
• CNH Industrial N.V.
• CropIn Technology Solutions
• CropMetrics LLC
• CropX Inc.
• Deere & Company
• Descartes Labs, Inc.
• Farmers Edge Inc.
• Granular Inc.
• Hexagon AB
• John Deere
• Raven Industries, Inc.
• Spensa Technologies
• Teralytic
• Topcon Positioning Systems
• Trimble Inc.

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