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市場調查報告書
商品編碼
1722322
數位農業市場規模、佔有率、成長分析(按產品、技術、活動、類型和地區)—2025 年至 2032 年產業預測Digital Agriculture Market Size, Share, and Growth Analysis, By Offering (Advisory Services, Precision Agriculture & Farm Management), By Technology (Peripheral Technology, Core Technology), By Operation, By Type, By Region - Industry Forecast 2025-2032 |
2023 年全球數位農業市場規模價值 223 億美元,預計將從 2024 年的 246.6 億美元成長到 2032 年的 552.2 億美元,預測期內(2025-2032 年)的複合年成長率為 10.6%。
數位農業領域對精密農業的需求激增。精密農業是一種尖端的農業實踐,旨在提高作物產量同時降低投入成本。這種創新方法使用感測器和無人機收集溫度、土壤濕度和養分水平的關鍵數據,使農民能夠更有效地管理田地並最佳化肥料和農藥的使用。物聯網 (IoT) 技術與精密農業軟體的結合使農民能夠即時監測作物的健康和進展,從而做出更好的決策並改善農業實踐。對數位解決方案的日益依賴正在改變農業,最終提高生產力,改善世界各地農民的生活,使他們能夠適應更數據主導的環境。
Global Digital Agriculture Market size was valued at USD 22.3 billion in 2023 and is poised to grow from USD 24.66 billion in 2024 to USD 55.22 billion by 2032, growing at a CAGR of 10.6% during the forecast period (2025-2032).
The digital agriculture sector is experiencing a significant surge in demand for precision farming, a state-of-the-art agricultural approach designed to enhance crop yields while reducing input costs. This innovative method employs sensors and drones to collect vital data on temperature, soil moisture, and nutrient levels, enabling farmers to more effectively manage fields and optimize the application of fertilizers and pesticides. With the integration of Internet of Things (IoT) technology and precision farming software, farmers can now monitor crop health and progress in real-time, leading to better decision-making and improved agricultural practices. This growing reliance on digital solutions is transforming farming, ultimately enhancing productivity and improving the livelihoods of farmers globally as they adapt to a more data-driven landscape.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Digital Agriculture 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 Digital Agriculture Market Segments Analysis
Global Digital Agriculture Market is segmented by Offering, Technology, Operation, Type and region. Based on Offering, the market is segmented into Advisory Services, Precision Agriculture & Farm Management, Quality Management & Traceability, Digital Procurement, Agri Ecommerce and Financial Services. Based on Technology, the market is segmented into Peripheral Technology and Core Technology. Based on Operation, the market is segmented into Farming & Feeding, Monitoring & Scouting and Marketing & Demand Generation. Based on Type, the market is segmented into Hardware, Software and Services. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Digital Agriculture Market
The Global Digital Agriculture market is experiencing significant growth due to the adoption of Artificial Intelligence (AI) and the Internet of Things (IoT) in farming practices. These technologies are revolutionizing agricultural operations by providing farmers with advanced analytics that facilitate data-driven decision-making, ultimately enhancing crop yields. Additionally, AI helps in early detection of plant diseases and weather pattern predictions, improving overall efficiency. Meanwhile, IoT-enabled smart sensors monitor critical factors such as soil moisture and nutrient levels in real-time, enabling precision irrigation and fertilization. In countries like the U.S. and Canada, agritech startups are innovating with autonomous tractors, AI-powered drones for crop monitoring, and robotic harvesters, significantly reducing reliance on labor.
Restraints in the Global Digital Agriculture Market
Although the Global Digital Agriculture market offers numerous advantages, the high costs associated with adopting digital farming technologies pose a significant challenge, particularly for small and medium-sized farms in developing regions. The implementation of AI-driven farming equipment, precision irrigation systems, and cloud-based farm management tools necessitates considerable initial financial investment, which can be prohibitive for many farmers. While large agribusinesses in regions like North America and Europe can easily afford autonomous tractors, robotic harvesters, and AI-enhanced greenhouses, farmers in Southeast Asia, Africa, and Latin America often encounter financial obstacles. Moreover, limited access to affordable credit and inadequate government support further hampers their ability to embrace these advanced agricultural technologies.
Market Trends of the Global Digital Agriculture Market
The global digital agriculture market is witnessing a transformative trend driven by the rapid adoption of AI technologies, which significantly enhance farming efficiency, productivity, and sustainability. Innovations in precision farming leverage AI-powered computer vision and machine learning to facilitate real-time monitoring of crops, leading to proactive disease management and optimized irrigation strategies through tools like drones, satellite imagery, and IoT sensors. Predictive analytics further empower farmers by analyzing extensive datasets, including historical weather and soil conditions, to accurately forecast yields and optimize planting schedules. The rise of AI-driven automation, including autonomous machinery and robotic harvesters, enhances operational efficiency while minimizing labor costs. Additionally, AI-powered chatbots and virtual assistants provide farmers with immediate access to crucial insights, revolutionizing decision-making and support in agricultural practices.