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市場調查報告書
商品編碼
1516086
農業中的人工智慧市場規模 - 按組成部分、應用、技術和預測,2024 年 - 2032 年AI in Agriculture Market Size - By Component, Application, Technology & Forecast, 2024 - 2032 |
農業中的人工智慧市場規模預計在 2024 年至 2032 年間將以超過 24% 的複合年成長率成長。精準農業、預測分析和自動化機械等人工智慧技術有助於最佳化資源利用和農作物產量。機器學習和資料分析的重大進步也使得更好的決策和解決問題成為可能。
不斷增加的投資和支持性政府政策正在吸引創新並鼓勵人工智慧在農業中的應用。例如,2024 年 4 月,農業科技公司 Cropin Technology 推出了“Aksara”,這是一種專為氣候智慧型農業設計的生成式人工智慧系統。此外,為了解決環境問題,對永續農業實踐的需求不斷成長,這推動了人工智慧解決方案的整合,以有效監測和管理農作物、土壤和天氣狀況。
整個產業分為組件、技術、應用和區域。
從組成部分來看,由於對資料分析、農場管理軟體和預測建模服務的需求不斷成長,服務領域的農業市場人工智慧預計將在 2024 年至 2032 年間顯著成長。增強的支援和維護以及培訓和諮詢正在推動這些服務的採用。對即時洞察和精準農業解決方案以最佳化生產力和永續性的強烈需求正在鼓勵農民利用人工智慧驅動的服務。
在應用方面,由於對土壤健康和作物狀況的精確資料的需求,預計到 2032 年,農業產業中作物和土壤監測領域的人工智慧將以複合年成長率大幅成長。人工智慧可以實現即時監控、預測分析和高效的資源管理,從而提高作物產量和永續性。人們對永續農業實踐的認知不斷增強,加上物聯網感測器和無人機的整合以進行詳細的現場分析,也推動了該領域的成長。
從地區來看,在技術的快速採用、對農業技術新創公司的投資增加以及政府推出支持智慧農業的舉措的推動下,亞太地區農業人工智慧市場將在 2024 年至 2032 年間出現顯著成長。該地區的大型農業部門受益於人工智慧提高的生產力和效率。人們對永續實踐的認知不斷增強,以及應對糧食安全挑戰的需求不斷增加,也加速了人工智慧在亞太地區農業領域的部署。
AI in Agriculture Market size is projected to grow at over 24% CAGR between 2024 and 2032. The increasing global demand for food due to the growing population is necessitating enhanced productivity and efficiency. AI technologies like precision farming, predictive analytics, and automated machinery help optimize resource use and crop yields. Significant advancements in machine learning and data analytics are also enabling better decision-making and problem-solving.
The increasing investments and supportive government policies are attracting innovations and encouraging the adoption of AI in agriculture. For instance, in April 2024, agritech company Cropin Technology unveiled 'Aksara,' a generative AI system designed for climate-smart agriculture. Moreover, the rising need for sustainable farming practices to address environmental concerns is fueling the integration of AI solutions to monitor and manage crops, soil, and weather conditions effectively.
The overall industry is segregated into component, technology, application, and region.
Based on component, the AI in agriculture market from the service segment is anticipated to rise at notable rate between 2024 and 2032, owing to the rising demand for data analytics, farm management software, and predictive modeling services. Enhanced support and maintenance, coupled with training and consulting are driving the adoption of these services. The strong need for real-time insights and precision agriculture solutions to optimize productivity and sustainability is encouraging farmers to leverage AI-driven services.
In terms of application, AI in agriculture industry from the crop and soil monitoring segment is anticipated to grow at substantial CAGR through 2032, driven by the need for precise data on soil health and crop conditions. AI enables real-time monitoring, predictive analytics, and efficient resource management for enhancing crop yields and sustainability. The increasing awareness of sustainable farming practices along with the integration of IoT sensors and drones for detailed field analysis are also driving the segment growth ahead.
Regionally, the Asia Pacific AI in agriculture market will depict significant growth between 2024 and 2032, driven by rapid technological adoption, increasing investments in agri-tech startups, and the launch of government initiatives to support smart farming. The large agricultural sector of the region benefits from AI-enhanced productivity and efficiency. The growing awareness of sustainable practices and the surging need to address food security challenges is also accelerating the deployment of AI in agriculture in APAC.