Crop Monitoring Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering, By Technology, By Farm Type, By Application, By Region and Competition, 2020-2030F
Global Crop Monitoring Market was valued at USD 3.51 billion in 2024 and is expected to reach USD 7.87 billion by 2030 with a CAGR of 14.40% during the forecast period. Crop Monitoring is increasingly indispensable for optimizing the utilization of geospatial technologies and site-specific crop management practices. Remote sensing technology serves as a valuable tool for gathering information on crop conditions, acreage, and production forecasting, facilitating policy decisions related to food security across various nations. Although remote sensing applications are still in the experimental stage, they exhibit an accuracy level for crop acreage forecasts ranging from 70-90 percent, which varies depending on the crop type and its distribution on the terrain.
Market Overview
Forecast Period
2026-2030
Market Size 2024
USD 3.51 Billion
Market Size 2030
USD 7.87 Billion
CAGR 2025-2030
14.40%
Fastest Growing Segment
Medium
Largest Market
North America
Key technologies driving the crop monitoring market include Internet of Things (IoT) devices, remote sensing technologies (such as satellite imagery and drones), and artificial intelligence (AI). These tools help farmers monitor their fields with precision, offering insights that can lead to improved crop management, efficient irrigation, optimized fertilization, and better pest control. The integration of AI and machine learning also allows for predictive analytics, enabling farmers to anticipate potential issues before they become critical, leading to better crop management and higher yields.
Key Market Drivers
Advancements in Technology Such as Machine Learning & AI
Advancements in technology, notably Machine Learning (ML) and Artificial Intelligence (AI), are anticipated to significantly boost the global demand for crop monitoring. These innovative technologies enable real-time tracking, predictive analytics, and nuanced data interpretation, thereby revolutionizing agricultural practices. ML and AI can analyze vast amounts of data from various sources such as drones, satellites, and IoT devices, facilitating precise crop monitoring. By identifying patterns in the data, they can predict weather conditions, identify disease outbreaks, and suggest appropriate interventions, ultimately optimizing crop yield and quality. In addition, these technologies can provide detailed soil analysis, recommending personalized crop treatment strategies based on individual field characteristics. Such precision farming methods, enabled by ML and AI, are expected to reduce resource wastage, increase cost-effectiveness, and promote sustainable agricultural practices. Hence, as the world grapples with the challenges of food security and environmental sustainability, the role of ML and AI in agriculture becomes increasingly pivotal. Their ability to transform data into actionable insights is expected to drive a surge in global demand for their application in crop monitoring.
Key Market Challenges
Lack of Highly Skilled Workers to Operate Digital Tools
The global demand for crop monitoring, though potentially transformative in the field of agriculture, is expected to face a decline due to the glaring lack of highly skilled workers capable of operating advanced digital tools. Technological advancements in crop monitoring have undoubtedly revolutionized farming practices, but the shortage of skilled labor is creating a bottleneck in the adoption and effective use of this technology. Crop monitoring involves intricate tasks such as interpreting data from satellite imagery, handling drones for field scouting, and managing complex software systems for crop health assessment. These tasks require a specialized skill set that is currently scarce in the labor market, which could hamper the global demand for crop monitoring. Furthermore, the cost and time associated with training workers to acquire these skills are significant, which only exacerbates the problem. Hence, until the gap between the complexity of digital tools and the skill set of the labor force is bridged, the global demand for crop monitoring is anticipated to witness a downward trend.
Key Market Trends
Integration of Smartphones with Agricultural Hardware & Software Applications
The integration of smartphones with agricultural hardware and software applications is projected to skyrocket the demand for crop monitoring globally. Smartphones, as accessible, multi-functional tools, are becoming increasingly intertwined with agriculture, offering the ability to control high-tech hardware and interact with sophisticated software applications. This advancement heralds a new era in precision agriculture. Through apps and hardware integrations, farmers can now monitor crop health, track weather patterns, and manage pests directly from their handheld device, making real-time decisions that enhance crop productivity and reduce waste. The ubiquity and ease-of-use of smartphones make them an ideal platform for widespread adoption of these technologies. In developing countries, where large-scale, costly monitoring systems are out of reach for many farmers, this could revolutionize agricultural practices, leading to increased yields and sustainability. Moreover, the leveraging of smartphone technology facilitates the collection and analysis of big data, driving forward the research and implementation of best agricultural practices on a global scale. Thus, the convergence of smartphones with agricultural hardware and software is poised to dramatically escalate the uptake of crop monitoring worldwide.
Key Market Players
Trimble Inc.
Topcon Corporation
Yara International ASA
The Climate Corporation
CropX Technologies Ltd.
Deere & Company
Syngenta Group
Precision Hawk, Inc.
Ag Leader Technology Inc.
AAA Taranis Visual Ltd.
Report Scope:
In this report, the Global Crop Monitoring Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Crop Monitoring Market, By Offering:
Hardware
Software
Services
Crop Monitoring Market, By Technology:
Sensing & Imagery
Variable Rate Technology
Automation & Robotics
Crop Monitoring Market, By Farm Type:
Small
Medium
Large
Crop Monitoring Market, By Application:
Field Mapping
Crop Scouting & Monitoring
Soil Monitoring
Yield Mapping & Monitoring
Others
Crop Monitoring Market, By Region:
North America
United States
Canada
Mexico
Europe
France
United Kingdom
Italy
Germany
Spain
Asia-Pacific
China
India
Japan
Australia
South Korea
South America
Brazil
Argentina
Colombia
Middle East & Africa
South Africa
Saudi Arabia
UAE
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in the Global Crop Monitoring Market.
Available Customizations:
Global Crop Monitoring market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Detailed analysis and profiling of additional market players (up to five).
Table of Contents
1. Product Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validations
2.7. Assumptions and Limitations
3. Executive Summary
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends