Agriculture IoT Market by Automation & Control Systems (Drones/UAVs, Guidance & Steering), Sensing & Monitoring Devices, Variable Rate Controllers, RFID Tags & Readers, LED Grow Lights, HVAC Systems, Irrigation Systems Global Forecast to 2030
The agriculture IoT market is expected to be valued at USD 8.86 billion in 2025 and is projected to reach USD 12.61 billion by 2030; it is expected to register a CAGR of 7.3% during the forecast period.
Scope of the Report
Years Considered for the Study
2021-2030
Base Year
2024
Forecast Period
2025-2030
Units Considered
Value (USD Billion)
Segments
By hardware, farm size, farm production planning, application, and region
Regions covered
North America, Europe, APAC, RoW
The growth of agriculture IoT is driven by rising demand for precision farming, real-time monitoring, and automation, supported by government initiatives, wireless connectivity advancements, and the need for resource optimization to meet increasing food demand sustainably.
"Automation & control systems segment is expected to grow at a higher CAGR during the forecast period."
The automation & control systems are expected to witness the highest CAGR in the agriculture IoT market during the forecast period due to rising adoption of advanced automation tools such as drones/UAVs, smart irrigation controllers, GPS-based guidance, and steering systems. Increasing focus on sustainable farming and efficient resource management has accelerated the integration of these technologies. Additionally, strong government support, coupled with ongoing R&D and innovations by key players, is boosting market expansion. The presence of leading agri-tech manufacturers and the growing use of connected machinery are positioning agriculture IoT as a major driver of global farming transformation.
"RFID tags & readers segment is expected to hold a significant share of the agriculture IoT market during the forecast period."
RFID tags & readers segment is expected to hold a significant share of the agriculture IoT market during the forecast period due to their ability to enable real-time livestock tracking, rising demand for efficient herd management, and growing adoption in pasture monitoring and automated feeding systems. RFID tags & readers allow farmers to monitor animal health, behavior, and location, ensuring optimal productivity and disease control. The demand for accurate and chemical-free livestock identification is accelerating adoption, as these solutions offer a safer and more sustainable alternative to traditional manual methods. Furthermore, integration with GPS, IoT platforms, and automated weighing systems is increasing due to their compact size, data accuracy, and ease of use. These features ensure reliable and efficient livestock management, contributing to the growing adoption of RFID technology in diverse agricultural applications.
"China is expected to register the highest CAGR in the agriculture IoT market during the forecast period."
China is expected to register the highest CAGR in the agriculture IoT market during the forecast period. This growth in China is driven by the rapid adoption of smart farming solutions, supported by government initiatives to modernize agriculture and improve food security. Increasing use of precision farming practices, coupled with strong demand for optimized fertilizer, pesticide, and water management, is fueling IoT adoption. Advanced technologies such as sensors, drones, and GPS are enabling site-specific input applications that enhance crop yield and reduce environmental impact. These factors, along with China's focus on sustainable resource management and digital agriculture policies, are significantly accelerating adoption and contributing to the country's strong market growth.
Extensive primary interviews were conducted with key industry experts in the agriculture IoT market space to determine and verify the market size for various segments and subsegments gathered through secondary research. The breakdown of primary participants for the report is shown below.
The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:
By Company Type- Tier 1 - 20%, Tier 2 - 35%, Tier 3 - 45%
By Reion- North America- 45%, Europe - 25%, Asia Pacific - 20%, and RoW - 10%
The agriculture IoT market is dominated by a few globally established players, such as Deere & Company (US), AGCO Corporation (US), Raven Industries, Inc. (US), DeLaval (Sweden), Merck & Co., Inc. (US).
The study includes an in-depth competitive analysis of these key players in the agriculture IoT market, with their company profiles, recent developments, and key market strategies.
Study Coverage:
The report segments the agriculture IoT market and forecasts its size by application (Precision farming, precision forestry, smart greenhouse, livestock monitoring, precision aquaculture, other applications), hardware (Precision farming hardware, precision forestry hardware, livestock monitoring hardware, precision aquaculture hardware, smart greenhouse hardware, other agriculture hardware), farm size (Small farms, medium- sized farms, large farms), Farm Production Planning (Pre-production planning, production planning, post-production planning). It also discusses the market's drivers, restraints, opportunities, and challenges. It gives a detailed view of the market across Region (North America, Europe, Asia Pacific, RoW). The report includes a supply chain analysis of the key players and their competitive analysis in the agriculture IoT ecosystem.
Key Benefits of Buying the Report:
Analysis of key drivers (Intelligent Farming Systems Advancing Data-Driven and High-Efficiency Agriculture Operations, Scaled Deployment of Automated and IoT-Enabled Livestock Identification Ecosystems Enhancing Operational Excellence, Robust Policy Frameworks and Regulatory Tailwinds Catalyzing AgriTech Expansion), restraint (Capital-Intensive Technology Adoption Creating Barriers to Large-Scale Agricultural Transformation, Talent and Capability Gaps Hindering Advanced Farming Technology Deployment at Scale, Sustainability Risks Arising from Environmental Durability Limitations in Agricultural Innovations), opportunities (Capital-Intensive Technology Adoption Creating Barriers to Large-Scale Agricultural Transformation, Talent and Capability Gaps Hindering Advanced Farming Technology Deployment at Scale, Sustainability Risks Arising from Environmental Durability Limitations in Agricultural Innovations), challenges (Capital-Intensive Technology Adoption Creating Barriers to Large-Scale Agricultural Transformation, Talent and Capability Gaps Hindering Advanced Farming Technology Deployment at Scale, Sustainability Risks Arising from Environmental Durability Limitations in Agricultural Innovations)
Product Development/Innovation: Detailed insights into upcoming technologies, research and development activities, and new product launches in the agriculture IoT market
Market Development: Comprehensive information about lucrative markets - the report analyses the agriculture IoT market across varied regions.
Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the agriculture IoT market.
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players in the agriculture IoT market, such as Deere & Company (US), AGCO Corporation (US), Raven Industries, Inc. (US), DeLaval (Sweden), and Merck & Co., Inc. (US).
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED AND REGIONAL SCOPE
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 UNIT CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 INTRODUCTION
2.2 RESEARCH DATA
2.2.1 SECONDARY DATA
2.2.1.1 List of major secondary sources
2.2.1.2 Key data from secondary sources
2.2.2 PRIMARY DATA
2.2.2.1 List of primary interview participants
2.2.2.2 Breakdown of primaries
2.2.2.3 Key data from primary sources
2.2.2.4 Key industry insights
2.3 FACTOR ANALYSIS
2.3.1 SUPPLY-SIDE ANALYSIS
2.3.2 DEMAND-SIDE ANALYSIS
2.4 MARKET SIZE ESTIMATION METHODOLOGY
2.4.1 BOTTOM-UP APPROACH
2.4.1.1 Approach to arrive at market size using bottom-up analysis (demand side)
2.4.2 TOP-DOWN APPROACH
2.4.2.1 Approach to arrive at market size using top-down approach (supply side)
2.5 MARKET BREAKDOWN AND DATA TRIANGULATION
2.6 RESEARCH LIMITATIONS
2.7 RESEARCH ASSUMPTIONS
2.8 RISK ANALYSIS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AGRICULTURE IOT MARKET
4.2 AGRICULTURE IOT MARKET FOR PRECISION FARMING, BY HARDWARE TYPE
4.3 AGRICULTURE IOT MARKET FOR PRECISION FARMING APPLICATION, BY REGION
4.4 AGRICULTURE IOT MARKET FOR LIVESTOCK MONITORING HARDWARE, BY TYPE
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rapid advances in digital technologies, automation, and data analytics
5.2.1.2 Adoption of automation technology and IoT-enabled devices
5.2.1.3 Regulations focusing on agriculture digitization, building data infrastructure, and adopting climate-responsive budgeting
5.2.2 RESTRAINTS
5.2.2.1 High upfront capital expenditure
5.2.2.2 Lack of technical expertise
5.2.3 OPPORTUNITIES
5.2.3.1 Adoption of VRA technology
5.2.3.2 Shift toward hyper-localized and data-validated decision making
5.2.3.3 Advent of nanotechnology in precision agriculture
5.2.4 CHALLENGES
5.2.4.1 Concerns regarding agricultural data privacy
5.2.4.2 Limited digital infrastructure in rural areas
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.4 PRICING ANALYSIS
5.4.1 PRICING TREND OF AGRICULTURE IOT DRONES/UAVS, BY KEY PLAYER, 2024
5.4.2 AVERAGE SELLING PRICE TREND OF DRONES/UAVS, BY REGION, 2021-2024
5.4.3 AVERAGE SELLING PRICE TREND OF DRONES/UAVS, BY REGION, 2021-2024
5.5 VALUE CHAIN ANALYSIS
5.6 ECOSYSTEM ANALYSIS
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Satellite imaging & GPS
5.7.1.2 Agricultural drones
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 Blockchain technology
5.7.2.2 Digital twin
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Climate tech & agri-climate modeling
5.8 PATENT ANALYSIS
5.9 TRADE ANALYSIS
5.9.1 IMPORT DATA (HS CODE 843280)
5.9.2 EXPORT DATA (HS CODE 843280)
5.10 KEY CONFERENCES AND EVENTS, 2025-2026
5.11 CASE STUDY ANALYSIS
5.11.1 SYNGENTA ADVANCES PRECISION FARMING WITH SATELLITE INSIGHTS VIA PLANET LABS PBC PARTNERSHIP
5.11.2 TELNYX IOT SENSORS OPTIMIZE FRUIT YIELD AND MINIMIZE WASTE THROUGH REAL-TIME DATA IN AGRICULTURE
5.11.3 FARMONAUT TECHNOLOGIES PVT. LTD. EMPOWERS CALIFORNIA AGRICULTURE WITH DRONE-ENABLED PRECISION FARMING FOR ENHANCED CROP HEALTH AND EFFICIENCY
5.11.4 PRECISION AGRICULTURE ENHANCES COTTON YIELDS IN PARBHANI THROUGH DIGITAL INNOVATION