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市场调查报告书
商品编码
1796119
精密农业作物监测技术的市场规模、份额和成长分析(按组件、技术、应用和地区):产业预测(2025-2032)Crop Monitoring Technology in Precision Farming Market Size, Share, and Growth Analysis, By Component (Hardware, Software), By Technology (Remote Sensing, Variable Rate Technology), By Application, By Region -Industry Forecast 2025-2032. |
2023 年全球精密农业作物监测技术市场规模为 63.3 亿美元,预计 2024 年将成长至 68.8 亿美元,到 2032 年将成长至 144.9 亿美元,预测期内(2025-2032 年)的复合年增长率为 8.62%。
随着农业部门越来越多地采用旨在提高效率和永续性的数位创新,精密农业的全球作物监测技术市场正在迅速发展。这种变化是为了应对耕地减少、气候变迁和营运成本上升等压力。在政府和私人实体寻求优化资源利用同时最大限度地减少环境足迹的大量投资的推动下,已开发国家和开发中国家都越来越多地采用精密农业技术。此外,气候智能型农业的监管倡议正在推动数据透明度,鼓励农民利用先进技术评估作物健康并有效管理资源。随着农业的数位转型,对整合平台和互联管理系统的需求预计将激增,预示着未来几年市场将强劲成长。
Global Crop Monitoring Technology in Precision Farming Market size was valued at USD 6.33 Billion in 2023 poised to grow between USD 6.88 Billion in 2024 to USD 14.49 Billion by 2032, growing at a CAGR of 8.62% in the forecast period (2025-2032).
The market for global crop monitoring technology within precision farming is rapidly evolving as the agriculture sector increasingly embraces digital innovations aimed at enhancing efficiency and sustainability. This shift responds to pressures such as diminishing arable land, climate change, and rising operational costs. Growing adoption of precision farming techniques is evident in both developed and developing nations, spurred by significant investments from governments and private entities seeking to optimize resource usage while minimizing environmental footprints. Additionally, regulatory advocacy for climate-smart agriculture promotes data transparency, prompting farmers to leverage advanced technologies for assessing crop health and managing resources effectively. With the digital transformation of agriculture, demand for integrated platforms and connected management systems is expected to surge, indicating robust market growth ahead.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Crop Monitoring Technology in Precision Farming market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Crop Monitoring Technology in Precision Farming Market Segments Analysis
The global crop monitoring technology in precision farming market is segmented based on component, technology, application, and region.In terms of component, the market is divided into hardware, software, and services. Based on technology, the market is segmented into remote sensing, variable rate technology, and data management systems. Based on application, the market is categorized into yield monitoring, field mapping, crop scouting, weather tracking & forecasting, soil monitoring, and farm management. Based on region, the market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa.
Driver of the Global Crop Monitoring Technology in Precision Farming Market
One of the key market drivers for the Global Crop Monitoring Technology in Precision Farming Market is the increasing demand for sustainable agricultural practices. As environmental concerns grow and populations expand, farmers are seeking efficient ways to optimize crop yields while minimizing resource consumption. Advanced crop monitoring technologies, utilizing drones, sensors, and satellite imagery, enable real-time data collection and analysis, allowing farmers to make informed decisions about irrigation, fertilization, and pest management. This not only enhances productivity but also reduces environmental impact, making precision farming solutions essential in meeting the global food demand while addressing sustainability challenges.
Restraints in the Global Crop Monitoring Technology in Precision Farming Market
One key market restraint for the global crop monitoring technology in precision farming is the high initial investment cost associated with advanced technological systems and equipment. Many farmers, particularly those operating on a small scale, may find the financial barrier prohibitive, leading to hesitancy in adopting precision farming solutions. Additionally, the complexity of integrating new technologies into existing agricultural practices can deter potential users. Furthermore, the lack of robust agricultural infrastructure and limited access to reliable internet connectivity in rural areas can hinder the effective deployment and utilization of crop monitoring technologies, limiting their overall market growth.
Market Trends of the Global Crop Monitoring Technology in Precision Farming Market
The market for Global Crop Monitoring Technology within Precision Farming is witnessing a significant uptrend, driven by the integration of artificial intelligence and advanced imaging technologies, including multispectral and hyperspectral systems. These innovative tools enable farmers to engage in proactive and predictive management practices, facilitating the early identification of crop stress, diseases, and nutrient deficiencies. As a result, agricultural stakeholders are increasingly leveraging these technologies to enhance yield optimization and optimize resource inputs. This convergence of AI-driven analytics with sophisticated imaging is set to revolutionize crop monitoring, leading to more sustainable and efficient farming practices across diverse agricultural landscapes.