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市場調査レポート
商品コード
1776854
気象データサービスの世界市場の評価:データタイプ別、ソリューション別、企業規模別、展開タイプ別、最終用途産業別、地域別、機会、予測(2018年~2032年)Global Weather Data Service Market Assessment, By Data Type, By Solutions, By Enterprise Size, By Deployment Type, By End-user Industry, By Region, Opportunities and Forecast, 2018-2032F |
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気象データサービスの世界市場の評価:データタイプ別、ソリューション別、企業規模別、展開タイプ別、最終用途産業別、地域別、機会、予測(2018年~2032年) |
出版日: 2025年07月25日
発行: Markets & Data
ページ情報: 英文 235 Pages
納期: 3~5営業日
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世界の気象データサービスの市場規模は、2024年の23億4,000万米ドルから2032年に41億8,000万米ドルに達すると予測され、2025年~2032年の予測期間にCAGRで7.50%の成長が見込まれます。市場は、気候変動の増大と、さまざまな産業における正確なリアルタイム予測への需要の高まりにより、急速に拡大しています。AIを活用したモデルや衛星に基づくアナリティクスなどの先進技術は、輸送、農業、エネルギーなどの部門における意思決定を強化しています。
猛暑やハリケーン、数十年にわたる飢饉や季節パターンの変化に至るまで、気象はほとんどの産業において重要な業務上および戦略上の危険因子となっています。それに伴い、政府も企業も、AI、機械学習、衛星画像を活用した先進の気象予測プラットフォームを利用し、備えとレジリエンスを強化する動きが加速しています。今日の気象データサービスは、局所的なリアルタイムの情報を提供し、航空、農業、エネルギー、ロジスティクス、保険などの産業がデータ主導の意思決定を行うことを可能にしています。さらに、気象API、予測分析、ビジュアルアナリティクスのビジネスプロセスへの統合により、気象データは周辺的なユーティリティからミッションクリティカルな資産へと変化しています。これは、Vaisala Oyjによるエネルギー需要計画と取引業務で使用されるWeatherDeskの買収に反映されているように、宇宙関連支出と買収の増加によって裏付けられています。
気候の予測不可能性が増すにつれて、タイムリーかつ位置情報に基づいた実用的な気象情報に対する需要によって、世界の気象データサービス市場は指数関数的に成長すると予測されます。気象データサービスはもはや未来を予測するためのものではなく、世界のデータ経済におけるレジリエンス、事業継続性、競合の要となっています。
当レポートでは、世界の気象データサービス市場について調査分析し、市場規模と予測、市場力学、主要企業の情勢などを提供しています。
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.