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市場調查報告書
商品編碼
1725194
2030 年智慧作物監測市場預測:按產品類型、農場類型、技術、應用和地區進行的全球分析Smart Crop Monitoring Market Forecasts to 2030 - Global Analysis By Product (Sensor Technology, Drones, Robots and Scouting), Farm Type, Technology, Application, and By Geography |
根據 Stratistics MRC 的數據,全球智慧作物監測市場預計在 2025 年達到 31 億美元,到 2032 年將達到 88 億美元,預測期內的複合年成長率為 16.1%。
智慧作物監測是一種現代農業方法,利用物聯網感測器、無人機和數據分析等先進技術。它有助於即時收集和分析作物健康、生長階段、土壤條件和環境參數的數據。這使農民能夠遠端監控他們的田地,及早發現害蟲、疾病和營養缺乏等潛在問題,並做出數據主導的決策來最佳化灌溉、施肥和害蟲控制,最終提高產量、資源效率和永續的農業實踐。
根據美國農業部 (USDA) 的數據,害蟲造成全球作物損失高達 40%。
對即時農業數據的需求不斷成長
農民越來越依賴即時數據來做出有關灌溉、病蟲害防治和施肥的明智決策。智慧感測器和衛星影像可以精確追蹤作物健康和環境因素。這種數據主導的方法有助於減少投入浪費並提高收穫效率。與行動應用程式的整合可提供有關天氣狀況和疾病爆發的即時警報。即時監控的自動化還可以減少人工工作和人為錯誤。更高的數據可見度正在推動大型商業農場採用該技術。這種轉變從根本上將傳統的農業方法轉變為精準農業。
連通性和基礎設施較差
在農村和偏遠地區,缺乏網路存取阻礙了智慧監控系統的有效性。許多農業地區仍然依賴過時的基礎設施,限制了即時數據傳輸。電源問題也會影響基於感測器的工具的可靠性。在新興國家,高昂的安裝和維護成本是一個障礙。技術素養較低的農民難以利用數位儀表板和分析平台。如果沒有足夠的政府支持,這些挑戰將依然存在。基礎設施差距繼續限制市場潛力。
與區塊鏈整合以實現可追溯性
區塊鏈技術可以安全透明地追蹤作物的生命週期,從種子到銷售。與區塊鏈結合的智慧監控工具可以確保真實性和品質認證。這對於有機和出口導向產品尤其有價值。可追溯性有助於農民滿足嚴格的供應鏈和食品安全法規。它還建立了消費者對產品來源和永續性聲明的信任。農產品正在探索區塊鏈以加強庫存和物流管理。區塊鏈和物聯網在農業領域的融合為解決方案供應商提供了巨大的機會。
天氣不確定性和自然災害
氣候變遷對智慧作物監測系統的可靠性構成重大威脅。不可預測的天氣現象可能導致預測模型無效或產生誤導。洪水、乾旱和風暴會損壞感測器、中斷電源並刪除資料日誌。這種極端條件也會導致作物週期不規律,使數據分析變得複雜。智慧型設備的保險覆蓋範圍通常有限,增加了財務風險。無法快速適應氣候衝擊會損害使用者信任。
這場疫情凸顯了遠端農場管理工具的必要性,並加速了數位農業的採用。旅行限制導致農民和農學家轉向虛擬諮詢平台。非接觸式操作的需求導致對自主現場感測器和無人機的投資增加。 COVID-19 也凸顯了糧食安全的重要性,並刺激了智慧農業解決方案的創新。向有彈性的糧食系統的轉變導致了農業技術採用的結構性變化。從長遠來看,這場危機將成為更智慧、技術主導的農業實踐的催化劑。
預計感測器技術領域將成為預測期內最大的細分市場
預計感測器技術部門將在預測期內佔據最大的市場佔有率,因為感測器技術對於捕獲有關土壤水分、溫度、濕度和作物健康的數據至關重要。無線感測器網路促進無縫資料收集和傳輸。感測器製造成本的降低使得中型農場也能使用它們。與雲端平台的整合增強了即時分析和農場規劃。基於感測器的監控可以實現精確的輸入使用並減少對環境的影響。
預計導引技術領域將在預測期內實現最高複合年成長率
預計導航技術領域將在預測期內實現最高成長率,其中包括 GPS 設備和自動曳引機在內的導航系統將經歷快速成長。這些技術提高了播種、噴灑和收割作業的精確度。與導航系統結合的精密機械可確保作物覆蓋均勻。農民正在採用這些解決方案來提高生產力和永續性。人們對農場自動化的日益關注支撐了該領域的快速成長。
在預測期內,由於農業產量高且農業技術融合度不斷提高,預計亞太地區將佔據最大的市場佔有率。政府主導的數位化計畫正在推動印度和中國等國家的大規模採用。龐大的農村勞動力正在推動對智慧農業的投資,以提高效率。農業技術新興企業和公共部門之間的合作正在擴大監測工具的使用範圍。該地區的作物多樣性需要不斷監測,以實現資源的最佳利用。購買現代設備的財政獎勵進一步推動了成長。
受高科技和商業規模農業的推動,北美地區預計在預測期內呈現最高的複合年成長率。農業相關企業正在使用人工智慧、巨量資料和物聯網來簡化營運並提高產量。聯邦永續農業計劃鼓勵使用智慧監控系統。學術界、新興企業和農民之間的密切合作正在推動創新。對高效水和投入管理的需求也在推動數位轉型。該地區強大的基礎設施使得精密農業技術能夠快速部署。
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.