세계의 기상 데이터 서비스 시장 규모는 2024년 23억 4,000만 달러에서 2032년에 41억 8,000만 달러에 달할 것으로 예측되며, 2025-2032년의 예측 기간에 CAGR로 7.50%의 성장이 전망됩니다. 기후 변화 증가와 다양한 산업 분야에서 정확한 실시간 예측에 대한 수요가 증가함에 따라 시장이 빠르게 성장하고 있습니다. AI를 활용한 모델과 위성 기반 분석과 같은 첨단 기술은 교통, 농업, 에너지 등의 분야에서 의사결정을 강화하고 있습니다.
폭염과 허리케인, 수십 년간의 기근과 계절적 패턴의 변화까지 날씨는 대부분의 산업에서 중요한 업무적, 전략적 위험 요소로 작용하고 있습니다. 이에 따라 정부도 기업도 AI, 머신러닝, 위성영상을 활용한 첨단 기상 예측 플랫폼을 활용해 대비와 회복력을 강화하려는 움직임이 가속화되고 있습니다. 오늘날의 기상 데이터 서비스는 국지적인 실시간 정보를 제공하여 항공, 농업, 에너지, 물류, 보험 등의 산업에서 데이터베이스 의사결정을 할 수 있게 해줍니다. 또한 기상 API, 예측 분석, 시각적 분석이 비즈니스 프로세스에 통합되면서 기상 데이터는 주변적인 유틸리티에서 미션 크리티컬한 자산으로 변모하고 있습니다. 이는 Vaisala Oyj의 에너지 수요 계획 및 거래 업무에 사용되는 WeatherDesk의 인수에 반영된 바와 같이 우주 관련 지출 및 인수 증가에 의해 지원되고 있습니다.
기후의 예측 불가능성이 증가함에 따라 시간 및 위치 기반 실용적인 기상정보에 대한 수요로 인해 세계 기상 데이터 서비스 시장은 기하급수적으로 성장할 것으로 예측됩니다. 기상 데이터 분석은 더 이상 미래를 예측하기 위한 것이 아니라 세계 데이터 경제의 회복탄력성, 비즈니스 연속성, 경쟁의 핵심이 되고 있습니다.
세계의 기상 데이터 서비스 시장에 대해 조사분석했으며, 시장 규모와 예측, 시장 역학, 주요 기업의 상황 등을 제공하고 있습니다.
Global weather data service market is projected to witness a CAGR of 7.50% during the forecast period 2025-2032, growing from USD 2.34 billion in 2024 to USD 4.18 billion in 2032. The global weather data services market is expanding rapidly due to increasing climate volatility and the growing demand for accurate, real-time forecasting across various industries. Advanced technologies, including AI-powered models and satellite-based analytics, are enhancing decision-making in sectors such as transportation, agriculture, and energy.
From blistering heatwaves and hurricanes to multi-decade famines and changing seasonal patterns, the weather has become a significant operational and strategic risk driver in most industries. In turn, governments and businesses alike are increasingly using sophisticated weather forecasting platforms powered by AI, machine learning, and satellite imagery to enhance their preparedness and resilience. Weather data services today provide hyper-local real-time intelligence, enabling industries such as aviation, agriculture, energy, logistics, and insurance to make data-driven decisions. Additionally, the integration of weather APIs, predictive analytics, and visual analytics into business processes has transformed weather data from a peripheral utility to a mission-critical asset. This is supported by increased space spending and acquisition, as reflected through the acquisition of WeatherDesk by Vaisala Oyj to be used in energy demand planning and trading operations.
As climatic unpredictability increases, the weather data services market worldwide is expected to grow exponentially, driven by the demand for timely, location-based, and actionable weather intelligence. Weather data services are no longer about predicting the future; they are a cornerstone of resilience, business continuity, and competitiveness in the world data economy.
Growing Demand for AI-Driven Hyperlocal Weather Forecasting Propels the Market Growth
Global weather data services market is expanding at a phenomenal rate as demand increases for AI-based, hyperlocal weather forecasting solutions. As climate uncertainty increases, industries such as agriculture, transportation, logistics, aviation, energy, and insurance are seeking more granular and accurate weather data to enhance operational efficiency and risk management. Conventional forecasting techniques, which provide overall regional predictions, are insufficient for mission-critical applications that require real-time, block-level predictions. New advances in technologies like artificial intelligence and machine learning are revolutionizing the landscape of weather forecasting, as they enable the development of high-resolution, short-term forecast models. Models provide valuable insights by analyzing vast quantities of historical data, as well as real-time data, enabling more informed scheduling, planning, and resource allocation.
For instance, in March 2025, G42, in collaboration with NVIDIA Corporation, unveiled an AI-powered 200-meter resolution weather forecasting platform for cities such as Abu Dhabi. Built on NVIDIA's Earth-2 platform and the CorrDiff architecture, the platform has real-time, hyperlocal predictive analytics. The use of the system is most applicable to sectors such as urban development, traffic management, and green energy, where local forecasts can be used to inform the safety and efficiency of operations. This trend illustrates how the landscape of weather information is being transformed by AI, producing new insights that enable industries to respond more dynamically to changing environmental conditions.
Increasing Integration of Weather Data in Business Decision-Making Drives the Market
Another significant growth driver is the increased application of weather data to core business activities and strategic management, particularly among sectors such as energy, agriculture, shipping, and retail. Companies are increasingly utilizing more meteorological data to predict demand in the marketplace, optimize supply chains, reduce energy consumption, and mitigate climate hazards. The ability to forecast poor weather and plan accordingly increases resilience, saves economic costs, and enhances customer satisfaction even further. Decision-making has also been improved through API integrations and cloud-based solutions that provide real-time weather at one's fingertips. Predictive analytics based on weather data is also being widely adopted as part of a digital transformation strategy for organizations.
For instance, Google Cloud introduced WeatherNext in February 2025, a weather forecasting product powered by artificial intelligence by Google DeepMind and Google Research. It offers two models: WeatherNext Gen, which provides 15-day probabilistic forecasts, and WeatherNext Graph, which provides 10-day deterministic forecasts. Offering solutions via Google BigQuery and Google Earth Engine, the solution enables enterprise customers across various sectors, including energy, retail, and manufacturing, to plan and optimize operations with incredibly accurate weather forecasts. It is part of a broader industry initiative to integrate weather awareness into enterprise software, enabling more informed and proactive business decisions.
Energy and Utilities Segment Holds Largest Share of Global Weather Data Service Market
Among all the end-use industries, the energy and utilities industry holds the largest market share of the global weather data services industry. This is primarily because the industry has a significant reliance on accurate and up-to-date weather forecasts to optimize energy production, transmission, and consumption. Renewable energy plants, including solar farms and wind farms, have a strong dependence on short- and long-term weather forecasts for capacity generation forecasting and grid stability. Likewise, weather data is used by utilities to forecast weather-related outages, provide continuity of service, and support disaster readiness. The increasing shift towards clean and distributed power sources has only increased the demand for accurate weather analytics. From heatwave forecasts that put pressure on power grids to wind speed forecasts for handling turbines, live weather insights are a valuable driver in optimizing efficiency and minimizing downtime.
A recent example of such a case in this line is the acquisition by Vaisala Corporation of WeatherDesk from Maxar Intelligence in December 2024 for USD 70 million. With the acquisition, Vaisala benefits from an extension of its presence in the energy trading and planning sector, enabled by having very advanced AI-based weather information. WeatherDesk functionality provides customers, particularly energy industry consumers, with quick and actionable global forecasts that aid in making wiser choices under an increasingly volatile climate regime. With the rise of climate change and the increasing integration of global energy systems, demand will emerge for specialized weather information solutions in the energy and utilities market. This positions the segment as a key driver of growth and innovation behind the overall market.
North America Dominates the Global Weather Data Service Market Size
North America leads the global weather data services market due to its advanced technology infrastructure, high digital penetration in various sectors, and substantial government and private investments in weather technologies. It boasts a plethora of major players in weather services and technologies that keep pace with the development of new technologies, such as AI-based forecasting, satellite integration, and climate modeling. Additionally, the presence of diverse industries, including aviation, energy, agriculture, insurance, and logistics, generates a need for real-time and accurate weather information to facilitate critical operations and risk management strategies.
The region's sharp focus on disaster preparedness and climate resilience also addresses the requirements for best-in-class weather data solutions. Both public and private sectors utilize them for applications ranging from storm watching and wildfire prediction to energy load management and crop planning. For instance, in June 2023, AccuWeather, Inc., introduced the AccuWeather HeatWave Counter and Severity Index. It provides deeper insight into heatwave intensity, duration, and effects, thereby increasing public awareness and preparedness for safety and climate disruption among businesses. North America, driven by rising investments in technology and an increased emphasis on climate resilience, is expected to continue dominating the global weather data services market.
Impact of U.S. Tariffs on Global Weather Data Service Market
Although the direct effects of U.S. tariffs on the global weather data services market are limited, their indirect effects can still have a significant impact on the sector. Tariffs on imported electronic components, sensors, and satellite equipment, commonly used in data acquisition infrastructure, can increase the cost of hardware development and deployment. This might hinder the growth of satellite constellations or the implementation of weather-monitoring systems, particularly among startups and small companies. Furthermore, tariffs imposed on cloud infrastructure or data transmission technologies could increase the operational costs for U.S.-based weather tech firms, potentially affecting their pricing models globally. Large U.S. weather data players, such as AccuWeather, Spire Global, and The Weather Company, however, continue to show resilience by investing in AI-based forecasting and SaaS-based delivery, partially offsetting the cost pressures through technology and scale.
Key Players Landscape and Outlook
The global weather data services market is very much fragmented, with the presence of traditional meteorological firms, satellite data firms, AI technology firms, and platform services firms. It is led by major players such as AccuWeather, Inc., The Weather Company (an IBM Business), and Google Cloud, which continually evolve to expand their market share further and strengthen their hold by providing real-time, actionable weather intelligence to businesses.
For instance, in May 2023, Spire Global, Inc. introduced the Deep Navigation Analytics (DNA) Platform, a space-based, centralized solution that provides maritime weather information, actionable APIs, and decision-support capabilities. The solution is based on Spire's IP-protected weather algorithms and radio occultation (RO) data from its satellite constellation, producing accurate 15-day global forecasts. This type of innovation is indicative of the growing role of space-based infrastructure and AI in providing hyper-accurate, long-range weather intelligence for maritime trade and other purposes.
There is strong market demand, driven by climate change, higher operating risks, and mounting regulatory pressures, fueling the need for more actionable and precise weather information. Weather forecasting solutions are being applied in transportation, agriculture, insurance, and utilities markets to enhance performance, security, and resilience. Prospective buyers considering investing in or implementing weather data solutions should consider suppliers with scalable, AI-driven platforms that provide high-end satellite data capabilities. Its success is in the future of Earth observation, real-time processing, and future-looking industry collaborations.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.