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市场调查报告书
商品编码
1725194
2030 年智慧作物监测市场预测:按产品类型、农场类型、技术、应用和地区进行的全球分析Smart Crop Monitoring Market Forecasts to 2030 - Global Analysis By Product (Sensor Technology, Drones, Robots and Scouting), Farm Type, Technology, Application, and By Geography |
根据 Stratistics MRC 的数据,全球智慧作物监测市场预计在 2025 年达到 31 亿美元,到 2032 年将达到 88 亿美元,预测期内的复合年增长率为 16.1%。
智慧作物监测是一种现代农业方法,利用物联网感测器、无人机和数据分析等先进技术。它有助于即时收集和分析作物健康、生长阶段、土壤条件和环境参数的数据。这使农民能够远端监控他们的田地,及早发现害虫、疾病和营养缺乏等潜在问题,并做出数据主导的决策来优化灌溉、施肥和害虫控制,最终提高产量、资源效率和永续的农业实践。
根据美国农业部 (USDA) 的数据,害虫造成全球作物损失高达 40%。
对即时农业数据的需求不断增长
农民越来越依赖即时数据来做出有关灌溉、病虫害防治和施肥的明智决策。智慧感测器和卫星影像可以精确追踪作物健康和环境因素。这种数据主导的方法有助于减少投入浪费并提高收穫效率。与行动应用程式的整合可提供有关天气状况和疾病爆发的即时警报。即时监控的自动化还可以减少人工工作和人为错误。更高的数据可见度正在推动大型商业农场采用该技术。这种转变从根本上将传统的农业方法转变为精准农业。
连通性和基础设施较差
在农村和偏远地区,缺乏网路存取阻碍了智慧监控系统的有效性。许多农业地区仍然依赖过时的基础设施,限制了即时数据传输。电源问题也会影响基于感测器的工具的可靠性。在新兴国家,高昂的安装和维护成本是一个障碍。技术素养较低的农民难以利用数位仪表板和分析平台。如果没有足够的政府支持,这些挑战将依然存在。基础设施差距继续限制市场潜力。
与区块链整合以实现可追溯性
区块链技术可以安全透明地追踪作物的生命週期,从种子到销售。与区块链结合的智慧监控工具可以确保真实性和品质认证。这对于有机和出口导向产品尤其有价值。可追溯性有助于农民满足严格的供应链和食品安全法规。它还建立了消费者对产品来源和永续性声明的信任。农产品正在探索区块链以加强库存和物流管理。区块链和物联网在农业领域的融合为解决方案供应商提供了巨大的机会。
天气不确定性和自然灾害
气候变迁对智慧作物监测系统的可靠性构成重大威胁。不可预测的天气现象可能导致预测模型无效或产生误导。洪水、干旱和风暴会损坏感测器、中断电源并删除资料日誌。这种极端条件也会导致作物週期不规律,使数据分析变得复杂。智慧型设备的保险覆盖范围通常有限,增加了财务风险。无法快速适应气候衝击会损害使用者信任。
这场疫情凸显了远端农场管理工具的必要性,并加速了数位农业的采用。旅行限制导致农民和农学家转向虚拟咨询平台。非接触式操作的需求导致对自主现场感测器和无人机的投资增加。 COVID-19 也凸显了粮食安全的重要性,并刺激了智慧农业解决方案的创新。向有弹性的粮食系统的转变导致了农业技术采用的结构性变化。从长远来看,这场危机将成为更智慧、技术主导的农业实践的催化剂。
预计感测器技术领域将成为预测期内最大的细分市场
预计感测器技术部门将在预测期内占据最大的市场占有率,因为感测器技术对于捕获有关土壤水分、温度、湿度和作物健康的数据至关重要。无线感测器网路促进无缝资料收集和传输。感测器製造成本的降低使得中型农场也能使用它们。与云端平台的整合增强了即时分析和农场规划。基于感测器的监控可以实现精确的输入使用并减少对环境的影响。
预计导引技术领域将在预测期内实现最高复合年增长率
预计导航技术领域将在预测期内实现最高成长率,其中包括 GPS 设备和自动拖拉机在内的导航系统将经历快速成长。这些技术提高了播种、喷洒和收割作业的精确度。与导航系统结合的精密机械可确保作物覆盖均匀。农民正在采用这些解决方案来提高生产力和永续性。人们对农场自动化的日益关注支撑了该领域的快速成长。
在预测期内,由于农业产量高且农业技术融合度不断提高,预计亚太地区将占据最大的市场占有率。政府主导的数位化计画正在推动印度和中国等国家的大规模采用。庞大的农村劳动力正在推动对智慧农业的投资,以提高效率。农业技术新兴企业和公共部门之间的合作正在扩大监测工具的使用范围。该地区的作物多样性需要不断监测,以实现资源的最佳利用。购买现代设备的财政奖励进一步推动了成长。
受高科技和商业规模农业的推动,北美地区预计在预测期内呈现最高的复合年增长率。农业相关企业正在使用人工智慧、巨量资料和物联网来简化营运并提高产量。联邦永续农业倡议鼓励使用智慧监控系统。学术界、新兴企业和农民之间的密切合作正在推动创新。对高效水和投入管理的需求也在推动数位转型。该地区强大的基础设施使得精密农业技术能够快速部署。
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.
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.
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.
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.
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.
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.
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.
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.
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.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.