Smart Crop Monitoring Market
Smart Crop Monitoring Market Forecasts to 2030 - Global Analysis By Product (Sensor Technology, Drones, Robots and Scouting), Farm Type, Technology, Application, and By Geography
|
Years Covered |
2022-2032 |
|
Estimated Year Value (2025) |
US $3.1 BN |
|
Projected Year Value (2032) |
US $8.8 BN |
|
CAGR (2024 - 2032) |
16.1% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
Asia Pacific |
|
Highest Growing Market |
North America |
According to Stratistics MRC, the Global Smart Crop Monitoring Market is accounted for $3.1 billion in 2025 and is expected to reach $8.8 billion by 2032 growing at a CAGR of 16.1% during the forecast period. Smart Crop Monitoring is a modern agricultural approach that leverages advanced technologies like IoT sensors, drones, and data analytics. It facilitates the real-time collection and analysis of data on crop health, growth stages, soil conditions, and environmental parameters. This enables farmers to remotely monitor their fields, identify potential issues such as pests, diseases, or nutrient deficiencies early, and make data-driven decisions to optimize irrigation, fertilization, and pest control, ultimately leading to improved yields, resource efficiency, and sustainable farming practices.
According to the U.S. Department of Agriculture (USDA), pests are responsible for up to 40% of global crop losses annually.
Market Dynamics:
Driver:
Growing demand for real-time agricultural data
Farmers are increasingly relying on real-time data to make informed decisions about irrigation, pest control, and fertilization. Smart sensors and satellite imagery are enabling precise tracking of crop health and environmental factors. These data-driven approaches help reduce input waste and enhance yield efficiency. Integration with mobile apps provides instant alerts on weather conditions and disease outbreaks. Automation through real-time monitoring also reduces manual labor and human error. Enhanced data visibility is encouraging adoption among large commercial farms. This shift is fundamentally transforming traditional agricultural practices into precision-based farming.
Restraint:
Inadequate connectivity and infrastructure
Lack of internet access in rural and remote areas hampers the effectiveness of smart monitoring systems. Many agricultural regions still rely on outdated infrastructure, limiting real-time data transmission. Power supply issues also affect the reliability of sensor-based tools. In developing countries, high installation and maintenance costs act as barriers. Farmers with limited technical literacy struggle to utilize digital dashboards and analytics platforms. Without sufficient government support, these challenges remain persistent. The infrastructure gap continues to restrict the market’s full potential.
Opportunity:
Integration with blockchain for traceability
Blockchain technology offers secure, transparent tracking of crop life cycles, from seed to sale. Smart monitoring tools integrated with blockchain can ensure authenticity and quality certification. This is especially valuable for organic and export-oriented agricultural products. Traceability helps farmers meet stringent supply chain and food safety regulations. It also builds consumer trust in product sourcing and sustainability claims. Agribusinesses are exploring blockchain to strengthen inventory and logistics management. The convergence of blockchain and IoT in agriculture is a major opportunity for solution providers.
Threat:
Weather uncertainty and natural disasters
Climate variability poses a significant threat to the reliability of smart crop monitoring systems. Unpredictable weather events can render predictive models ineffective or misleading. Floods, droughts, and storms can damage sensors, disrupt power supply, and erase data logs. Such extreme conditions also lead to irregular crop cycles, complicating data analytics. Insurance coverage for smart equipment is often limited, increasing financial risk. The inability to adapt rapidly to climate shocks reduces user confidence.
Covid-19 Impact:
The pandemic highlighted the need for remote farm management tools, accelerating adoption of digital agriculture. Travel restrictions pushed farmers and agronomists to rely on virtual advisory platforms. Demand for contactless operations led to increased investment in autonomous field sensors and drones. COVID-19 also emphasized the importance of food security, fueling innovation in smart farming solutions. The shift towards resilient food systems drove structural changes in agritech adoption. Long-term, the crisis acted as a catalyst for smarter, tech-driven agricultural practices.
The sensor technology segment is expected to be the largest during the forecast period
The sensor technology segment is expected to account for the largest market share during the forecast period because sensor technology is essential for capturing data on soil moisture, temperature, humidity, and crop health. Wireless sensor networks facilitate seamless data collection and transmission. Cost reductions in sensor manufacturing have made them more accessible to mid-sized farms. Their integration with cloud platforms enhances real-time analytics and farm planning. Sensor-based monitoring enables precise input usage, reducing environmental impact.
The guidance technology segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the guidance technology segment is predicted to witness the highest growth rate, guidance systems, including GPS-enabled equipment and autonomous tractors, are witnessing rapid growth. These technologies enhance accuracy in seeding, spraying, and harvesting operations. Precision machinery integrated with guidance systems ensures uniform crop coverage. Farmers are shifting to these solutions for improved productivity and sustainability. The rising focus on farm automation underpins the fast-paced growth of this segment.
Region with largest share:
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to high agricultural output and growing tech integration in farming. Government-led digitization programs are driving large-scale adoption across countries like India and China. The presence of a massive rural workforce is encouraging investment in smart farming to boost efficiency. Collaborations between agritech startups and public agencies are expanding access to monitoring tools. The region’s crop diversity requires constant monitoring for optimal resource use. Economic incentives for modern equipment purchase further support growth.
Region with highest CAGR:
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR fuelled by high-tech adoption and commercial-scale farming. Agribusinesses are leveraging AI, big data, and IoT to streamline operations and boost yield. Federal initiatives for sustainable agriculture are incentivizing the use of smart monitoring systems. Strong collaboration between academia, startups, and farmers is driving innovation. The need for efficient water and input management is also pushing digital transformation. The region's robust infrastructure enables rapid deployment of precision agriculture technologies.
Key players in the market
Some of the key players in Smart Crop Monitoring Market include Trimble, Topcon Corporation, Yara International, The Climate Corporation, CropX Technologies, Cropwise Operations, Earth Observing System, PrecisionHawk, Ag Leader, Taranis, CNH Industrial N.V., Deere & Company, Climate LLC, AGRIVI and IBM Corporation.
Key Developments:
In March 2025, Deere & Company debuted the John Deere Precision AgSense Platform, an AI-powered smart crop monitoring system that integrates real-time soil and crop health data with automated irrigation recommendations.
In March 2025, Yara International introduced Yara CropVision 2025, a smart crop monitoring tool that uses machine learning to provide farmers with actionable insights on nutrient deficiencies and pest risks via a mobile app.
In February 2025, Trimble launched the Trimble AgX Monitoring Solution, a cloud-based platform combining IoT sensors and satellite imagery for continuous crop health tracking and yield optimization.
Products Covered:
• Sensor Technology
• Drones
• Robots
• Software Scouting
Farm Types Covered:
• Small
• Medium
• Large
Technologies Covered:
• Guidance Technology
• Remote Sensing Technology
• Variable Rate Technology
• Automation Robotics
• Other Technologies
Applications Covered:
• Disease And Pest Detection
• Nutrient Management
• Weed Management
• Yield Monitoring
• Crop Protection
• Crop Insurance
• Other Applications
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Product Analysis
3.7 Technology Analysis
3.8 Application Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Smart Crop Monitoring Market, By Product
5.1 Introduction
5.2 Sensor Technology
5.3 Drones
5.4 Robots
5.5 Software Scouting
6 Global Smart Crop Monitoring Market, By Farm Type
6.1 Introduction
6.2 Small
6.3 Medium
6.4 Large
7 Global Smart Crop Monitoring Market, By Technology
7.1 Introduction
7.2 Guidance Technology
7.3 Remote Sensing Technology
7.4 Variable Rate Technology
7.5 Automation Robotics
7.6 Other Technologies
8 Global Smart Crop Monitoring Market, By Application
8.1 Introduction
8.2 Disease And Pest Detection
8.3 Nutrient Management
8.4 Weed Management
8.5 Yield Monitoring
8.6 Crop Protection
8.7 Crop Insurance
8.8 Other Applications
9 Global Smart Crop Monitoring Market, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa
10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies
11 Company Profiling
11.1 Trimble
11.2 Topcon Corporation
11.3 Yara International
11.4 The Climate Corporation
11.5 CropX Technologies
11.6 Cropwise Operations
11.7 Earth Observing System
11.8 PrecisionHawk
11.9 Ag Leader
11.10 Taranis
11.11 CNH Industrial N.V.
11.12 Deere & Company
11.13 Climate LLC
11.14 AGRIVI
11.15 IBM Corporation
List of Tables
1 Global Smart Crop Monitoring Market Outlook, By Region (2024-2032) ($MN)
2 Global Smart Crop Monitoring Market Outlook, By Product (2024-2032) ($MN)
3 Global Smart Crop Monitoring Market Outlook, By Sensor Technology (2024-2032) ($MN)
4 Global Smart Crop Monitoring Market Outlook, By Drones (2024-2032) ($MN)
5 Global Smart Crop Monitoring Market Outlook, By Robots (2024-2032) ($MN)
6 Global Smart Crop Monitoring Market Outlook, By Software Scouting (2024-2032) ($MN)
7 Global Smart Crop Monitoring Market Outlook, By Farm Type (2024-2032) ($MN)
8 Global Smart Crop Monitoring Market Outlook, By Small (2024-2032) ($MN)
9 Global Smart Crop Monitoring Market Outlook, By Medium (2024-2032) ($MN)
10 Global Smart Crop Monitoring Market Outlook, By Large (2024-2032) ($MN)
11 Global Smart Crop Monitoring Market Outlook, By Technology (2024-2032) ($MN)
12 Global Smart Crop Monitoring Market Outlook, By Guidance Technology (2024-2032) ($MN)
13 Global Smart Crop Monitoring Market Outlook, By Remote Sensing Technology (2024-2032) ($MN)
14 Global Smart Crop Monitoring Market Outlook, By Variable Rate Technology (2024-2032) ($MN)
15 Global Smart Crop Monitoring Market Outlook, By Automation Robotics (2024-2032) ($MN)
16 Global Smart Crop Monitoring Market Outlook, By Other Technologies (2024-2032) ($MN)
17 Global Smart Crop Monitoring Market Outlook, By Application (2024-2032) ($MN)
18 Global Smart Crop Monitoring Market Outlook, By Disease And Pest Detection (2024-2032) ($MN)
19 Global Smart Crop Monitoring Market Outlook, By Nutrient Management (2024-2032) ($MN)
20 Global Smart Crop Monitoring Market Outlook, By Weed Management (2024-2032) ($MN)
21 Global Smart Crop Monitoring Market Outlook, By Yield Monitoring (2024-2032) ($MN)
22 Global Smart Crop Monitoring Market Outlook, By Crop Protection (2024-2032) ($MN)
23 Global Smart Crop Monitoring Market Outlook, By Crop Insurance (2024-2032) ($MN)
24 Global Smart Crop Monitoring Market Outlook, By Other Applications (2024-2032) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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