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市场调查报告书
商品编码
1722322
数位农业市场规模、份额、成长分析(按产品、技术、活动、类型和地区)—2025 年至 2032 年产业预测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 年全球数位农业市场规模价值 223 亿美元,预计将从 2024 年的 246.6 亿美元成长到 2032 年的 552.2 亿美元,预测期内(2025-2032 年)的复合年增长率为 10.6%。
数位农业领域对精密农业的需求激增。精密农业是一种尖端的农业实践,旨在提高作物产量同时降低投入成本。这种创新方法使用感测器和无人机收集温度、土壤湿度和养分水平的关键数据,使农民能够更有效地管理田地并优化肥料和农药的使用。物联网 (IoT) 技术与精密农业软体的结合使农民能够即时监测作物的健康和进展,从而做出更好的决策并改善农业实践。对数位解决方案的日益依赖正在改变农业,最终提高生产力,改善世界各地农民的生活,使他们能够适应更数据主导的环境。
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.