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市場調查報告書
商品編碼
1698018
作物監測市場-全球產業規模、佔有率、趨勢、機會及預測(按產品、技術、農場類型、應用、地區和競爭細分,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 年全球作物監測市場價值為 35.1 億美元,預計到 2030 年將達到 78.7 億美元,預測期內複合年成長率為 14.40%。作物監測對於最佳化地理空間技術的利用和特定地點的作物管理實踐越來越重要。遙感技術是收集作物狀況、種植面積和產量預測資訊的寶貴工具,有助於各國制定與糧食安全相關的政策決策。儘管遙感應用仍處於實驗階段,但其對農作物種植面積預測的準確率在 70% 至 90% 之間,具體取決於農作物類型及其在地形上的分佈。
市場概覽 | |
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預測期 | 2026-2030 |
2024 年市場規模 | 35.1 億美元 |
2030年市場規模 | 78.7億美元 |
2025-2030 年複合年成長率 | 14.40% |
成長最快的領域 | 中等的 |
最大的市場 | 北美洲 |
推動作物監測市場發展的關鍵技術包括物聯網 (IoT) 設備、遙感技術(如衛星影像和無人機)和人工智慧 (AI)。這些工具可幫助農民精確監測田地,提供有助於改善作物管理、提高灌溉效率、最佳化施肥和更好地控制病蟲害的見解。人工智慧和機器學習的結合還可以實現預測分析,使農民能夠在問題變得嚴重之前預測到潛在問題,從而實現更好的作物管理並提高產量。
機器學習和人工智慧等技術的進步
缺乏操作數位工具的高技能工人
智慧型手機與農業硬體和軟體應用程式的整合
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).