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市场调查报告书
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1865426
全球农业气象追踪市场:预测至 2032 年—按组件、预测类型、农场规模、应用和区域分類的分析Weather Tracking for Agriculture Market Forecasts to 2032 - Global Analysis By Component, Forecast Type, Farm Size, Application, and By Geography |
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根据 Stratistics MRC 的一项研究,预计到 2025 年,全球农业气象追踪市场价值将达到 24 亿美元,到 2032 年将达到 59 亿美元。
预计在预测期内,农业气象追踪服务将以13.2%的复合年增长率成长。该服务利用物联网感测器和卫星影像提供先进的气象资料和分析服务,为农民提供高度本地化的天气预报和气候洞察。随着气候变迁加剧和精密农业的日益普及,农民利用数据驱动的决策来降低风险、优化灌溉并保障作物产量,市场成长正在加速。
对精密农业的需求日益增长
精密农业需求的日益增长是推动市场发展的关键因素,迫使农民利用超本地化的气象数据进行决策,并直接优化资源配置。这些数据能够实现精准灌溉规划、精准农药施用和准确产量预测,进而提高作物产量和营运效率。此外,为保障不断增长的全球人口的粮食安全而施加的压力也日益增大,这进一步加速了精准农业的普及,因为最大限度地利用现有耕地已成为重中之重。这一趋势从根本上将气象追踪融入现代数据驱动型农业实践的核心要素。
气象站、感测器和软体的前期成本很高
部署先进的气象观测设备、感测器网路和整合软体平台需要大量的初期投资,这给其广泛应用带来了巨大障碍。对于资金有限的小农户和发展中地区而言,这项资金难题尤其突出。成本不仅包括初始硬件,还包括安装、校准和持续维护。由此产生的较长投资回收期,对于价格敏感的农户而言可能构成障碍,并会阻碍除规模最大、资金最雄厚的农业企业之外的市场渗透。
开发订阅模式
灵活的订阅式(SaaS)模式的发展为市场扩张提供了巨大的机会。这些模式以可控的营运成本取代高额的资本支出,降低了进入门槛,使小型农场也能使用先进的分析技术。此外,服务提供者可以透过持续的服务更新和支持,确保稳定的收入来源并建立长期的客户关係。这种模式能够释放先前服务不足的细分市场的潜在需求,并在预测期内显着推动用户获取和用户基数的成长。
与传统气象服务的竞争
他们面临着来自成熟且通常免费或低成本的传统气象服务的市场竞争。这些服务,包括政府气象机构和大型气象媒体,提供通用预报,由于熟悉且价格优势,许多农民仍然依赖这些预报。这些服务的广泛普及可能会相对降低专业付费农业气象追踪解决方案的提案。为了应对这种情况,专业服务提供者必须清楚阐述其服务所提供的更高准确性和针对特定农场的可操作性见解,以证明投资的合理性。
疫情初期,供应链瓶颈导致市场混乱,硬体组件出货和系统安装延误。然而,疫情也暴露了食品供应链的脆弱性,并加速了农业数位化转型。封锁措施限制了农场劳动力,进一步增加了对远端监控和自动化解决方案的需求。这种优先事项的转变促使人们重新关注韧性,最终推动了疫情后的復苏和对精密农业技术(包括天气追踪)的投资。
预计在预测期内,硬体领域将占据最大的市场份额。
预计在预测期内,硬体部分将占据最大的市场份额。这是因为收集准确的农场环境数据需要实体基础设施(感测器、气象站和数据记录器)。这些组件对于建立功能完善的天气追踪系统至关重要。此外,技术的不断进步以及在大规模农业生产中部署高密度感测器网络,也显着推动了硬体收入的持续成长。可靠且高品质的资料收集的重要性,必将确保硬体在整个预测期内保持市场中最大的收入来源地位。
预计在预测期内,中小农场(SME)板块的复合年增长率将最高。
预计在预测期内,中小农场(SME)领域将实现最高成长率,这主要得益于成本效益高、扩充性的解决方案和订阅式定价模式的日益普及。这些创新使得小型农场能够以经济实惠的方式应用先进的气象分析技术。此外,政府为推动中型农业现代化而推出的主导和补贴也正在推动这些技术的采用。人们对气候风险和精密农业经济效益的认识不断提高,促使中小企业加大对这些技术的投资,以增强自身的竞争力和永续性,从而推动了该领域的高速成长。
预计北美将在预测期内占据最大的市场份额。北美市场的领先地位牢固地建立在高技术普及率、众多资金雄厚的大型农业公司以及强大的数位基础设施之上。此外,美国农业部 (USDA) 等政府机构的大力支持以及成熟的农业技术公司生态系统,为先进的天气追踪解决方案创造了极其有利的环境。该地区精密农业实践的早期和广泛应用,预计将确保其在整个预测期内继续保持绝对收入和市场份额的领先地位。
预计亚太地区在预测期内将实现最高的复合年增长率,这主要得益于该地区大规模农业部门致力于提高生产力并适应气候变迁。关键因素包括印度和中国等国政府为促进智慧农业而製定的支持性政策、行动互联网普及率的不断提高,以及人们对确保气候韧性的认识不断增强。该地区巨大的未开发潜力,加上紧迫的粮食安全挑战,正有力地推动着天气追踪技术的快速应用。
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.