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市場調査レポート
商品コード
1796119
精密農業向け作物モニタリング技術の市場規模・シェア・成長分析 (コンポーネント別、技術別、用途別、地域別):産業予測 (2025~2032年)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. |
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精密農業向け作物モニタリング技術の市場規模・シェア・成長分析 (コンポーネント別、技術別、用途別、地域別):産業予測 (2025~2032年) |
出版日: 2025年08月13日
発行: SkyQuest
ページ情報: 英文 186 Pages
納期: 3~5営業日
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世界の精密農業向け作物モニタリング技術の市場規模は、2023年に63億3,000万米ドルと評価され、2024年には68億8,000万米ドル、2032年には144億9,000万米ドルに成長し、予測期間(2025-2032年)のCAGRは8.62%で成長すると予測されています。
世界の精密農業向け作物モニタリング技術市場は、農業セクターが効率性と持続可能性の向上を目的としたデジタル革新をますます受け入れるようになるにつれて急速に進化しています。この変化は、耕地の減少、気候変動、経営コストの上昇といった圧力に対応しています。環境フットプリントを最小限に抑えながら資源利用を最適化しようとする政府や民間団体の多額の投資が拍車をかけ、先進国でも発展途上国でも精密農業技術の採用が拡大していることは明らかです。さらに、気候変動に対応したスマート農業に対する規制当局の提唱はデータの透明性を促進し、農家は作物の健康状態を評価し、資源を効果的に管理するために先進技術を活用するようになります。農業のデジタル変革に伴い、統合プラットフォームと接続された管理システムに対する需要は急増すると予想され、今後の市場の堅調な成長を示しています。
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.