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市场调查报告书
商品编码
1698018
作物监测市场-全球产业规模、份额、趋势、机会及预测(按产品、技术、农场类型、应用、地区和竞争细分,2020-2030 年)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 |
2024 年全球作物监测市场价值为 35.1 亿美元,预计到 2030 年将达到 78.7 亿美元,预测期内复合年增长率为 14.40%。作物监测对于优化地理空间技术的利用和特定地点的作物管理实践越来越重要。遥感技术是收集作物状况、种植面积和产量预测资讯的宝贵工具,有助于各国制定与粮食安全相关的政策决策。儘管遥感应用仍处于实验阶段,但其对农作物种植面积预测的准确率在 70% 至 90% 之间,具体取决于农作物类型及其在地形上的分布。
市场概览 | |
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预测期 | 2026-2030 |
2024 年市场规模 | 35.1 亿美元 |
2030年市场规模 | 78.7亿美元 |
2025-2030 年复合年增长率 | 14.40% |
成长最快的领域 | 中等的 |
最大的市场 | 北美洲 |
推动作物监测市场发展的关键技术包括物联网 (IoT) 设备、遥感技术(如卫星影像和无人机)和人工智慧 (AI)。这些工具可帮助农民精确监测田地,提供有助于改善作物管理、提高灌溉效率、优化施肥和更好地控制病虫害的见解。人工智慧和机器学习的结合还可以实现预测分析,使农民能够在问题变得严重之前预测到潜在问题,从而实现更好的作物管理并提高产量。
机器学习和人工智慧等技术的进步
缺乏操作数位工具的高技能工人
智慧型手机与农业硬体和软体应用程式的集成
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 | |
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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.
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.
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:
Crop Monitoring Market, By Technology:
Crop Monitoring Market, By Farm Type:
Crop Monitoring Market, By Application:
Crop Monitoring Market, By Region:
Company Profiles: Detailed analysis of the major companies present in the Global Crop Monitoring Market.
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:
Detailed analysis and profiling of additional market players (up to five).