全球農業分析市場－2025年至2030年預測

Global Agriculture Analytics Market - Forecasts from 2025 to 2030

出版日期: 2025年10月30日 | 出版商:

Knowledge Sourcing Intelligence | 英文 145 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

全球農業分析市場預計將從 2025 年的 20.76 億美元成長到 2030 年的 42.03 億美元，複合年成長率為 15.15%。

農業分析是將人工智慧、資料探勘、機器學習和巨量資料分析等先進技術應用於農業領域。這項先進技術為農民提供土壤狀況、濕度、天氣模式和作物健康狀況等關鍵變數的即時數據。該技術的主要價值在於其能夠支持和提升關鍵的農業決策流程。此外，其應用範圍不僅限於田間，還能透過提供一個平台來改善從生產到市場的商品流通，從而使整個農業供應鏈受益。

主要市場成長要素

農業分析市場的擴張受到幾個強勁且相互關聯的趨勢的驅動。其中一個關鍵促進因素是產業內日益成長的數位化和風險評估趨勢。此外，旨在開發尖端農業技術的創業投資投資不斷增加，也促進了市場成長。對都市農業日益成長的關注同樣推動了市場成長。這些趨勢的驅動力來自更廣泛的宏觀經濟因素，包括不斷加快的工業化進程、經濟的持續數位化、全球化以及巨量資料和物聯網 (IoT) 感測器在農業運作中的日益普及。

在此框架下，有兩個具體因素正在塑造該產業的發展軌跡：

1. 農場分析技術的進步：隨著資料科學和人工智慧的融合，農業領域正經歷著一場重大變革，旨在創建預測性的農場分析。一個顯著的趨勢是訂閱式服務的興起，這些服務提供即時作物生長狀況通知，同時降低農民的成本。這些服務利用預測建模和營運最佳化，使農民能夠更好地控制作物產量。該領域的公司正在利用整合多種數據來源的平台，包括衛星圖像、土壤數據、氣象資訊、歷史作物產量和農機數據，從而產生對當前田間狀況的全面分析和對未來產量的可靠預測。這種方法直接解決了人們對多變天氣和其他環境因素影響的擔憂。

2. 關注盈利與效率：全球農業分析市場的發展動力源自於農業企業日益重視提高盈利。作物生產受多種複雜因素影響，包括種子選擇、土壤品質、肥料施用和天氣狀況等。在此背景下，農業分析技術已成為最佳化投入、提高作物產量並最終實現產量的關鍵工具。此外，日益複雜的畜牧管理需求也給農民帶來了額外的壓力，推動了全球對分析解決方案的採用。這些技術有助於降低管理不善帶來的風險，並滿足對精準畜牧追蹤日益成長的需求。因此，農業分析技術構成了智慧農業的基礎，而智慧農業被廣泛認為是科學技術在農業實踐中的革命性應用。

區域市場展望

預計在整個預測期內，北美將保持在全球農業分析市場的主要佔有率。這一主導地位主要歸功於該地區眾多成熟技術供應商的存在，以及政府主導的智慧農業推廣計劃的廣泛實施。這些公司正專注於策略活動，例如建立合作夥伴關係、進行併購以及不斷開發尖端解決方案，以保持和加強其在區域和國際市場上的競爭優勢。

該地區正經歷著從傳統耕作方式轉向以分析和智慧技術為驅動、注重持續改進的耕作方式的顯著轉變。這一轉變得益於綜合農業解決方案的普及，這些解決方案整合了預測技術、物聯網數據和專業氣象數據，為農民提供可操作的洞察。這些平台旨在為農業生命週期中的關鍵活動提供資訊支持，包括規劃、犁地、播種、噴灑和收穫。

總之，農業分析市場的發展受到多面向因素的共同驅動：技術進步、提高盈利的經濟壓力，以及農業向數據驅動決策的模式轉移。大量投資和強大的技術生態系統，尤其是在北美等關鍵地區，進一步推動了產業成長，使分析技術成為未來高效永續農業的基石。

本報告的主要優勢：

深入分析：提供對主要和新興地區的深入市場洞察，重點關注客戶群、政府政策和社會經濟因素、消費者偏好、行業垂直領域和其他細分市場。
競爭格局：了解全球主要企業的策略舉措，並了解透過正確的策略進入市場的可能性。
市場促進因素與未來趨勢：探索推動市場的動態因素和關鍵趨勢，以及它們將如何塑造未來的市場發展。
可操作的建議：利用這些見解，在快速變化的環境中製定策略決策，發展新的商業機會和收入來源。
受眾廣泛：適用於Start-Ups、研究機構、顧問公司、中小企業和大型企業，且經濟實惠。

企業使用我們的報告的目的是什麼？

產業與市場分析、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法規結構及影響、新產品開發、競爭情報

報告範圍：

2022年至2024年的歷史數據和2025年至2030年的預測數據
成長機會、挑戰、供應鏈前景、法規結構與趨勢分析
競爭定位、策略和市場佔有率分析
按業務板塊和地區分類的收入成長和預測評估，包括國家/地區
公司概況（策略、產品、財務資訊、關鍵發展等）

Agriculture analytics represents the convergence of advanced technologies, including artificial intelligence, data mining, machine learning, and big data analytics, into the agricultural sector. This function of analytics serves as a sophisticated technology that provides farmers with real-time data on critical variables such as soil conditions, moisture levels, weather patterns, and crop health. The primary value of this technology lies in its capacity to support and enhance key farming and agricultural decision-making processes. Furthermore, its application extends beyond the field, benefiting agricultural supply chains by offering a platform that improves the flow of goods from production to market.

Key Growth Drivers in the Market

The expansion of the agriculture analytics market is propelled by several powerful, interconnected trends. A significant driver is the growing trend of digitalization and risk assessment within the industry. This is complemented by an increase in venture capital investments targeted at the development of cutting-edge agricultural technologies. A rising emphasis on urban farming is also contributing to market growth. Underpinning these trends are broader macroeconomic forces, including increased industrialization, the ongoing digitalization of the economy, globalization, and the expanding use of big data and Internet of Things (IoT) sensors in farming operations.

Within this framework, two specific drivers are shaping the industry's trajectory:

1. The Advancement of Farm-Based Analytics: The agriculture sector is experiencing significant transformation through the integration of data science and artificial intelligence to create on-farm predictive analytics. A notable trend is the emergence of subscription-based services, which aim to lower costs for farmers while providing access to real-time crop-condition notifications. These services leverage predictive modeling and job optimization to give agricultural producers greater control over their harvest outcomes. Companies in this space utilize platforms that integrate disparate data sources-such as satellite imagery, soil data, weather information, historical crop performance, and farm equipment data-to generate a comprehensive analysis of current field conditions and reliable forecasts for future productivity. This approach directly addresses concerns about the impact of variable weather and other environmental factors.

2. Focus on Profitability and Efficiency: The global market for agriculture analytics is being fueled by an intensified focus on enhancing profitability from agribusiness. Crop production is influenced by a complex array of variables, from seed selection and soil quality to fertilizer application and meteorological conditions. In this context, agriculture analytics has become an essential tool for optimizing inputs, boosting crop output, and ultimately increasing yield. Additionally, the increasing demands of livestock management are placing greater pressure on farmers, further promoting the adoption of analytics solutions worldwide. These technologies aid in reducing the risks associated with poor management and meet the growing need for precise livestock tracking. Agriculture analytics is thus a cornerstone of smart agriculture, which is widely regarded as a ground-breaking application of science and technology to farming practices.

Geographical Market Outlook

North America is projected to maintain its position as the prominent shareholder in the global agriculture analytics market throughout the forecast period. This leadership is primarily attributed to the region's considerable presence of established technology providers and the proliferation of government initiatives promoting smart farming. To maintain and strengthen their competitive edge in both regional and international markets, these firms are focusing on strategic activities such as forming alliances, pursuing mergers and acquisitions, and continuously developing cutting-edge solutions.

The region has witnessed a considerable shift from conventional agricultural operations to those structured for continuous improvement through the application of analytics and smart technologies. This transition is supported by the deployment of comprehensive agricultural solutions that combine predictive technology, IoT data, and specialized weather data to deliver actionable insights to farmers. These platforms are designed to inform critical activities across the farming lifecycle, including planning, plowing, planting, spraying, and harvesting.

In conclusion, the agriculture analytics market is being driven by the convergence of technological advancement, economic pressures for greater profitability, and a shifting agricultural paradigm towards data-driven decision-making. The industry's growth is further supported by significant investments and a robust technological ecosystem, particularly in leading regions such as North America, positioning analytics as a fundamental component of the future of efficient and sustainable agriculture.

Key Benefits of this Report:

Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

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Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

Historical data from 2022 to 2024 & forecast data from 2025 to 2030
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.

Segmentation: