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市場調查報告書
商品編碼
1865426
全球農業氣象追蹤市場:預測至 2032 年—按組件、預測類型、農場規模、應用和區域分類的分析Weather Tracking for Agriculture Market Forecasts to 2032 - Global Analysis By Component, Forecast Type, Farm Size, Application, and By Geography |
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根據 Stratistics MRC 的一項研究,預計到 2025 年,全球農業氣象追蹤市場價值將達到 24 億美元,到 2032 年將達到 59 億美元。
預計在預測期內,農業氣象追蹤服務將以13.2%的複合年成長率成長。該服務利用物聯網感測器和衛星影像提供先進的氣象資料和分析服務,為農民提供高度本地化的天氣預報和氣候洞察。隨著氣候變遷加劇和精密農業的日益普及,農民利用數據驅動的決策來降低風險、最佳化灌溉並保障作物產量,市場成長正在加速。
對精密農業的需求日益成長
精密農業需求的日益成長是推動市場發展的關鍵因素,迫使農民利用超本地化的氣象數據進行決策,並直接最佳化資源配置。這些數據能夠實現精準灌溉規劃、精準農藥施用和準確產量預測,進而提高作物產量和營運效率。此外,為保障不斷成長的全球人口的糧食安全而施加的壓力也日益增大,這進一步加速了精準農業的普及,因為最大限度地利用現有耕地已成為重中之重。這一趨勢從根本上將氣象追蹤融入現代數據驅動型農業實踐的核心要素。
氣象站、感測器和軟體的前期成本很高
部署先進的氣象觀測設備、感測器網路和整合軟體平台需要大量的初期投資,這給其廣泛應用帶來了巨大障礙。對於資金有限的小農戶和發展中地區而言,這項資金難題尤其突出。成本不僅包括初始硬體,還包括安裝、校準和持續維護。由此產生的較長投資回收期,對於價格敏感的農戶而言可能構成障礙,並會阻礙除規模最大、資金最雄厚的農業企業之外的市場滲透。
開發訂閱模式
靈活的訂閱式(SaaS)模式的發展為市場擴張提供了巨大的機會。這些模式以可控的營運成本取代高額的資本支出,降低了進入門檻,使小型農場也能使用先進的分析技術。此外,服務提供者可以透過持續的服務更新和支持,確保穩定的收入來源並建立長期的客戶關係。這種模式能夠釋放先前服務不足的細分市場的潛在需求,並在預測期內顯著推動用戶獲取和用戶基數的成長。
與傳統氣象服務的競爭
他們面臨著來自成熟且通常免費或低成本的傳統氣象服務的市場競爭。這些服務,包括政府氣象機構和大型氣象媒體,提供通用預報,由於熟悉且價格優勢,許多農民仍然依賴這些預報。這些服務的廣泛普及可能會相對降低專業付費農業氣象追蹤解決方案的提案。為了應對這種情況,專業服務提供者必須清楚闡述其服務所提供的更高準確性和針對特定農場的可操作性見解,以證明投資的合理性。
疫情初期,供應鏈瓶頸導致市場混亂,硬體組件出貨和系統安裝延誤。然而,疫情也暴露了食品供應鏈的脆弱性,並加速了農業數位化轉型。封鎖措施限制了農場勞動力,進一步增加了對遠端監控和自動化解決方案的需求。這種優先事項的轉變促使人們重新關注韌性,最終推動了疫情後的復甦和對精密農業技術(包括天氣追蹤)的投資。
預計在預測期內,硬體領域將佔據最大的市場佔有率。
預計在預測期內,硬體部分將佔據最大的市場佔有率。這是因為收集準確的農場環境數據需要實體基礎設施(感測器、氣象站和數據記錄器)。這些組件對於建立功能完善的天氣追蹤系統至關重要。此外,技術的不斷進步以及在大規模農業生產中部署高密度感測器網路,也顯著推動了硬體收入的持續成長。可靠且高品質的資料收集的重要性,必將確保硬體在整個預測期內保持市場中最大的收入來源地位。
預計在預測期內,中小農場(SME)板塊的複合年成長率將最高。
預計在預測期內,中小農場(SME)領域將實現最高成長率,這主要得益於成本效益高、擴充性的解決方案和訂閱式定價模式的日益普及。這些創新使得小型農場能夠以經濟實惠的方式應用先進的氣象分析技術。此外,政府為推動中型農業現代化而推出的主導和補貼也正在推動這些技術的採用。人們對氣候風險和精密農業經濟效益的認知不斷提高,促使中小企業加大對這些技術的投資,以增強自身的競爭力和永續性,從而推動了該領域的高速成長。
預計北美將在預測期內佔據最大的市場佔有率。北美市場的領先地位牢固地建立在高技術普及率、眾多資金雄厚的大型農業公司以及強大的數位基礎設施之上。此外,美國農業部 (USDA) 等政府機構的大力支持以及成熟的農業技術公司生態系統,為先進的天氣追蹤解決方案創造了極其有利的環境。該地區精密農業實踐的早期和廣泛應用,預計將確保其在整個預測期內繼續保持絕對收入和市場佔有率的領先地位。
預計亞太地區在預測期內將實現最高的複合年成長率,這主要得益於該地區大規模農業部門致力於提高生產力並適應氣候變遷。關鍵因素包括印度和中國等國政府為促進智慧農業而製定的支持性政策、行動網際網路普及率的不斷提高,以及人們對確保氣候韌性的認知不斷增強。該地區巨大的未開發潛力,加上緊迫的糧食安全挑戰,正有力地推動著天氣追蹤技術的快速應用。
According to Stratistics MRC, the Global Weather Tracking for Agriculture Market is accounted for $2.4 billion in 2025 and is expected to reach $5.9 billion by 2032, growing at a CAGR of 13.2% during the forecast period. Weather Tracking for Agriculture provides advanced meteorological data and analytics services, using IoT sensors and satellite imagery to offer farmers hyper-local weather forecasts and climate insights. Growth is accelerating due to increasing climate volatility and the adoption of precision agriculture, as farmers seek to mitigate risk, optimize irrigation, and protect yields through data-informed decision-making.
Growing need for precision agriculture
The growing need for precision agriculture is a primary market driver. It compels farmers to leverage hyper-local weather data for informed decision-making, directly optimizing resource allocation. This data enables precise irrigation scheduling, targeted pesticide application, and accurate yield forecasting, thereby enhancing crop productivity and operational efficiency. Furthermore, the escalating pressure to ensure food security for a growing global population is accelerating this adoption, as maximizing output from existing farmland becomes paramount. This trend fundamentally integrates weather tracking as a core component of modern, data-driven farming practices.
High upfront costs for weather stations, sensors, and software
A significant barrier to widespread adoption is the high upfront capital expenditure required for advanced weather stations, sensor networks, and integrated software platforms. This financial hurdle is particularly prohibitive for smallholder farmers and in developing regions with limited access to capital. The cost encompasses not only the initial hardware but also installation, calibration, and ongoing maintenance. Consequently, the return on investment period can be extended, deterring price-sensitive operators and potentially slowing market penetration outside of large-scale, well-funded agricultural enterprises.
Development of subscription-based models
The development of flexible, subscription-based (SaaS) models presents a substantial opportunity to expand market reach. These models lower the entry barrier by replacing high capital expenditure with manageable operational expenses, making advanced analytics accessible to smaller farms. Moreover, providers can ensure a recurring revenue stream and foster long-term customer relationships through continuous service updates and support. This approach can unlock latent demand in previously underserved market segments, significantly driving user acquisition and installed base growth over the forecast period.
Competition from traditional weather services
The market faces competition from established, often free or low-cost, traditional weather services. These services, including government meteorological agencies and broad-scale weather media, provide generalized forecasts that many farmers still rely upon due to familiarity and cost advantages. Their widespread availability can diminish the perceived value proposition of specialized, paid agricultural weather tracking solutions. To counter this, specialized providers must clearly articulate the superior accuracy and farm-specific actionable insights their services deliver to justify the investment.
The pandemic initially disrupted the market through supply chain bottlenecks, delaying hardware component shipments and system installations. However, it simultaneously acted as a catalyst by highlighting vulnerabilities in the food supply chain and accelerating the digital transformation of the agriculture sector. Lockdowns limited farm labor availability, intensifying the need for remote monitoring and automation solutions. This shift in priorities led to a renewed focus on resilience, ultimately driving post-pandemic recovery and investment in precision agriculture technologies, including weather tracking.
The hardware segment is expected to be the largest during the forecast period
The hardware segment is expected to account for the largest market share during the forecast period attributed to the foundational need for physical infrastructure sensors, weather stations, and data loggers to capture accurate, on-farm environmental data. This component is non-negotiable for establishing a functional weather tracking system. Additionally, continuous technological advancements and the deployment of dense sensor networks across large farming operations contribute significantly to recurring hardware revenue. The criticality of reliable, high-quality data collection ensures that hardware remains the largest revenue-generating segment within the market throughout the forecast period.
The small and medium-sized farms (SMEs) segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the small and medium-sized farms (SMEs) segment is predicted to witness the highest growth rate driven by the increasing availability of cost-effective, scalable solutions and subscription-based pricing models. These innovations are making advanced weather analytics financially viable for smaller operations. Furthermore, growing government initiatives and subsidies aimed at modernizing mid-tier agriculture are encouraging adoption. As awareness of climate risks and the economic benefits of precision farming increases, SMEs are increasingly investing in these technologies to enhance their competitiveness and sustainability, fueling a high growth rate.
During the forecast period, the North America region is expected to hold the largest market share. North America's market leadership is firmly established, underpinned by high technology adoption rates, the presence of large-scale farm enterprises with significant capital, and robust digital infrastructure. Moreover, strong governmental support through agencies like the USDA and a well-developed ecosystem of ag-tech companies foster a highly conducive environment for advanced weather tracking solutions. The region's early and widespread embrace of precision agriculture practices ensures its continued dominance in terms of absolute revenue and market share over the forecast period.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR fueled by a massive agricultural sector increasingly focused on improving productivity and managing climate volatility. Key factors include supportive government policies in countries like India and China promoting smart farming, rising penetration of mobile and internet connectivity, and a growing recognition of the need for climate resilience. The vast, untapped potential of this region, combined with its pressing food security challenges, creates a powerful impetus for the rapid adoption of weather tracking technologies.
Key players in the market
Some of the key players in Weather Tracking for Agriculture Market include The Climate Corporation, DTN, LLC, The Weather Company, AccuWeather, Inc., Tomorrow.io, Inc., Pessl Instruments GmbH, Vaisala Oyj, Campbell Scientific, Inc., Davis Instruments Corporation, Spire Global, Inc., OTT HydroMet Fellbach GmbH, Airmar Technology Corporation, Fugro N.V., StormGeo AS, METER Group, Inc., Skymet Weather Services Pvt. Ltd., AerisWeather, Inc., and Sencrop SAS.
In September 2025, DTN, the global leader in operational decisioning for energy, agriculture, and weather-driven industries, has announced advancements in weather forecasting through collaboration with NVIDIA and Amazon Web Services (AWS). The initiative combines DTN's meteorological expertise, NVIDIA's AI technology, and AWS's scalable computing infrastructure. According to Renny Vandewege, General Manager of Weather and Climate Intelligence at DTN, the partnership represents "a new frontier of operational decisioning for organizations operating in weather-sensitive environments."
In June 2025, Tomorrow.io, the global weather intelligence leader, headquartered in the United States, and a technology provider of U.S. agencies NOAA, NASA, and Department of Defense, has partnered with the National Irrigation Administration (NIA) to help farmers adapt to volatile and challenging climate conditions and boost productivity using Artificial Intelligence in the Philippines.
In January 2024, Agritask, a crop supply data intelligence software company, and Pessl Instruments, a leading global developer and provider of smart agriculture technological solutions, jointly announced their partnership to integrate METOS(R) weather stations into the Agritask platform. In combination with other agronomic data sources, METOS(R) weather station data, which includes a variety of real-time environmental parameters, will provide a more advanced agronomic picture down to the plot level for food and beverage companies using the Agritask platform.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.