Industry: Service & Software
Published Date: 2026-08-13
Pages: 162 Pages
Report ld: 6988742
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KEY FINDINGS
Enterprise customers contribute approximately 71% of commercial revenue, confirming a predominantly B2B market structure
Weather intelligence software platforms represent the largest service segment at approximately 34%
North America accounts for approximately 35% of demand, while Asia Pacific represents about 30%
Transportation and mobility contributes approximately 26%, followed by energy and utilities at 24%
Hybrid physics and AI architectures support approximately 52% of commercial revenue
AI Weather Forecasting Services Market Size(US$)

CAGR 2026-2032
10.2%
Market Size,2032
USD 3,582
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global AI Weather Forecasting Services market was valued at US$ 1800 million in 2025 and is anticipated to reach US$ 3582 million by 2032, at a CAGR of 10.2% from 2026 to 2032.
AI Weather Forecasting Services are commercial services that apply machine learning, deep learning, neural forecasting and other artificial intelligence technologies to weather prediction, forecast correction, spatial downscaling, risk identification and decision-support delivery. These services integrate numerical weather prediction outputs with satellite observations, weather radar, ground stations, ocean and upper-air observations, connected sensors and historical atmospheric datasets to generate localized forecasts for precipitation, temperature, wind, humidity, visibility, severe weather and operational impacts. The market primarily covers weather intelligence software platforms, weather data and forecast APIs, managed forecasting and warning services, customized meteorological decision support and paid consumer forecast services. Products are delivered through cloud-based SaaS platforms, APIs, data feeds, mobile applications, operational dashboards, embedded software components and expert-supported service contracts. Key performance parameters include forecast horizon, spatial resolution, update frequency, model architecture, geographic coverage, probability calibration, data latency and service availability. AI Weather Forecasting Services are applied across transportation and mobility, energy and utilities, agriculture and natural resources, insurance, industrial operations, construction, emergency management, retail, media and other weather-sensitive activities.
MARKET TRENDS
MARKET SEGMENTATION
MARKET DYNAMICS
Drivers
Growth in AI Weather Forecasting Services is supported by rising exposure of transportation networks, electricity systems, agricultural production and distributed industrial assets to weather disruption. Renewable energy expansion increases demand for accurate wind, solar generation and electricity-load forecasts, while aviation, shipping, logistics and mobility platforms require continuously updated route-level intelligence. Improvements in satellite observation, radar networks, connected sensors, cloud computing and AI inference are increasing forecast frequency and reducing the cost of localized prediction. Enterprise digitalization is also transforming weather information from a general reference input into a measurable component of scheduling, asset protection, safety management and business continuity. Demand is particularly strong where relatively small improvements in forecast timing or location accuracy can reduce downtime, prevent losses or improve resource allocation.
Restraints
Commercial expansion is constrained by the widespread availability of free or low-cost public weather information, which limits customer willingness to pay for undifferentiated forecast products. Forecast quality also varies substantially across geography, weather phenomenon and prediction horizon, particularly in regions with limited radar, station and upper-air observation coverage. High-resolution model training, real-time inference, proprietary observations, data licensing and cloud infrastructure create significant operating costs. Customized integration with customer systems may require lengthy implementation and validation, especially in aviation, energy and public infrastructure. In addition, the economic value of incremental forecast accuracy can be difficult to quantify for customers without mature weather-risk management processes, extending sales cycles and limiting adoption among smaller organizations.
Opportunities
The strongest opportunities lie in converting weather forecasts into industry-specific operational decisions. Low-altitude aviation, autonomous mobility, renewable energy trading, parametric insurance, precision agriculture, maritime routing and climate-resilient infrastructure require localized and continuously updated risk signals. Emerging markets remain underpenetrated because generalized global models frequently lack sufficient local observations and calibration for tropical rainfall, monsoon systems, mountainous terrain and coastal weather. This creates opportunities for regional providers with proprietary observation networks, local-language delivery and stronger knowledge of regional weather behavior. AI-based downscaling and declining inference costs can extend high-resolution forecasting to smaller enterprises, municipal users and distributed assets. Additional value can be captured by linking forecasts with maintenance, dispatch, inventory, underwriting and automated control systems rather than selling weather data as an isolated input.
Challenges
The industry must improve model verification, explainability and reliability during rare or extreme events. A model that performs well on average may still underestimate localized high-impact weather, creating operational, reputational and potential liability risks. Standardized benchmarks remain incomplete across regions, forecast horizons and atmospheric variables, making direct comparison between physics-based, hybrid and fully data-driven systems difficult. Model performance may deteriorate when input observations, sensor networks or climate patterns change. Data sovereignty, cybersecurity, service continuity and dependence on public meteorological infrastructure are additional concerns for aviation, defense, energy and emergency-management customers. Providers must therefore balance rapid AI deployment with auditable methodologies, human oversight, continuous back-testing and clearly defined service-level commitments.
VALUE CHAIN ANALYSIS
The upstream value chain consists of public and proprietary weather observations, numerical forecasting systems, historical archives, reanalysis datasets and computing infrastructure. Core inputs include satellite imagery, radar data, ground stations, ocean buoys, aircraft observations, connected vehicles and industrial sensors. Cloud infrastructure, high-performance computing and AI accelerators support data assimilation, model training and real-time inference. Broad, reliable and continuously updated datasets are central to forecast quality, while proprietary observation networks can create differentiation in poorly monitored regions or specialized operating environments. Data acquisition, licensing and computing expenditure represent major cost components, particularly for providers pursuing global coverage or high-frequency, high-resolution forecasting.
Midstream value creation covers data ingestion, quality control, model selection, AI training, ensemble optimization, bias correction, spatial downscaling, forecast verification and conversion into APIs, platforms, alerts and operational recommendations. Downstream customers integrate these outputs into scheduling, dispatch, trading, maintenance, insurance underwriting, inventory planning and safety procedures. Standardized APIs and scalable SaaS subscriptions generally offer stronger incremental economics than labor-intensive managed forecasting, while proprietary observation systems increase capital and maintenance requirements. The highest contract values are typically generated when proprietary data, forecast technology, meteorological expertise and workflow integration are combined into mission-critical services. The blended market gross margin is estimated at approximately 55%–65%, with standardized software products generally operating above the market average.
SEGMENT INSIGHTS
Weather intelligence software platforms are the largest service segment, accounting for approximately 34% of commercial revenue. Their value extends beyond forecast delivery to visualization, automated alerts, workflow configuration, risk analytics and operational coordination. Weather data and forecast APIs account for approximately 31% and benefit from standardized integration, scalable delivery and recurring subscription or usage-based revenue. Managed forecasting and decision-support services represent approximately 27%, supported by aviation, shipping, energy and public-safety customers that require expert interpretation, continuous monitoring and customized escalation procedures. Paid consumer services account for the remaining share and remain structurally smaller because free weather information is widely available.
Hybrid physics and AI models account for approximately 52% of commercial revenue by technical architecture, reflecting customer preference for the established stability of numerical forecasting combined with AI-based correction, localization and faster inference. AI post-processing and downscaling represent approximately 27%, while fully data-driven AI models account for about 14% and remain a faster-developing but earlier-stage commercial segment. Forecast products with spatial resolution between one and ten kilometers remain the mainstream, while sub-kilometer services are expanding in airports, urban flood monitoring, renewable energy facilities, ports and large industrial sites. Commercial differentiation increasingly depends on probability calibration, update frequency, local data density and integration with customer decision processes.
DOWNSTREAM MARKET OPPORTUNITIES
Transportation and mobility is the largest downstream application, contributing approximately 26% of commercial revenue. Airlines, airports, shipping operators, logistics fleets and mobility platforms require route-specific forecasts, disruption alerts and operational planning tools. Energy and utilities account for approximately 24%, supported by renewable generation forecasting, electricity-load planning, grid stability, commodity trading and field maintenance. Agriculture and natural resources contribute approximately 14%, with demand linked to irrigation, spraying, harvesting, crop protection, mining and water management. Insurance, construction, manufacturing, retail, emergency management and low-altitude aviation form a diversified opportunity base. Across these industries, the strongest commercial potential lies in shifting from descriptive forecasts toward measurable weather-impact indicators connected directly to operational and financial outcomes.
REGIONAL INSIGHTS

Fastest-Growing Region: Asia Pacific
North America is the largest regional market, accounting for approximately 35% of global demand. The region benefits from mature enterprise weather-data procurement, extensive aviation and logistics networks, significant renewable energy capacity and a strong concentration of weather technology providers. Demand is concentrated in weather APIs, severe-weather intelligence and software platforms integrated with operating systems. Europe represents approximately 29% of demand and has particular strengths in energy forecasting, maritime services, aviation, public infrastructure and high-quality meteorological data. Energy-transition investment, cross-border transportation and regulatory attention to resilience support commercial adoption, although public meteorological services remain an important competitive reference.
BY TYPE,2021-2032(US $ MILLION)
Weather Data and Forecast APIs
Weather Intelligence Software Platforms
Managed Forecasting and Decision Support
Consumer Premium Forecast Services
BY APPLICATION,2021-2032(US $ MILLION)
Transportation and Mobility
Energy and Utilities
Agriculture and Natural Resources
Others
Asia Pacific accounts for approximately 30% of demand and offers the broadest long-term expansion potential. Japan has a mature private weather-service sector, while China is developing AI forecasting, commercial weather APIs and industry-specific meteorological platforms for transportation, energy, agriculture and disaster prevention. India and Southeast Asia present substantial demand for monsoon, tropical rainfall and agricultural forecasting, but observation gaps and customer affordability continue to affect commercialization. Regional success increasingly depends on local model calibration, language support, distribution partnerships and the ability to represent weather systems that generalized global products do not capture adequately.
COMPETITIVE LANDSCAPE ANALYSIS
The AI Weather Forecasting Services market combines global weather-data platforms, established private meteorological service companies, regional specialists and AI-native forecasting developers. Large incumbents benefit from extensive historical datasets, enterprise customer relationships, global model ensembles, experienced meteorological teams and high-availability delivery infrastructure. Their strategic focus is expanding from raw data feeds toward weather intelligence platforms, automated workflows and higher-value decision-support services. AI-native participants compete through faster model iteration, end-to-end neural forecasting, proprietary observations, satellite or airborne data collection and lower-cost inference. Regional providers differentiate through local station networks, regulatory familiarity, language capabilities and expertise in specific weather systems. Competition is therefore shifting away from forecast accuracy as a standalone claim toward a broader combination of spatial resolution, latency, reliability, probability calibration, explainability, integration depth and measurable customer outcomes. Companies that combine proprietary forecasting engines with scalable APIs and industry-specific workflows are better positioned to capture recurring enterprise revenue, while providers dependent on undifferentiated public data face continued price pressure and weaker customer retention.
REPORT SCOPE
This report delivers a comprehensive overview of the global AI Weather Forecasting Services market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding AI Weather Forecasting Services. The AI Weather Forecasting Services market size, estimates, and forecasts are provided in terms of revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2021–2032.
The report segments the global AI Weather Forecasting Services market comprehensively. Regional market sizes by Type, by Application, by Forecast Horizon, and by player are also provided. For deeper insight, the report profiles the competitive landscape, key competitors, and their respective market rankings, and discusses technological trends and new product developments.
This report will assist AI Weather Forecasting Services manufacturers, new entrants, and companies across the industry value chain with information on revenues, sales volume, and average prices for the overall market and its sub-segments, by company, by Type, by Application, and by region.
CHAPTER OUTLINE
Chapter 1: Defines the scope of the report and presents an executive summary of market segments (by Type, by Application, by Forecast Horizon, etc.), including the size of each segment and its future growth potential. It offers a high-level view of the current market and its likely evolution in the short, medium, and long term.
Chapter 2: Summarizes global and regional market size and outlines market dynamics and recent developments, including key drivers, restraints, challenges and risks for industry participants, and relevant policy analysis.
Chapter 3: Provides a detailed view of the competitive landscape for AI Weather Forecasting Services companies, covering revenue share, development plans, and mergers and acquisitions.
Chapter 4: Analyzes segments by Type, detailing the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 5: Analyzes segments by Application, detailing the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 6–10: Regional deep dives (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) broken down by country. Each chapter quantifies market size and growth potential by region and key countries, and outlines market development, outlook, addressable space, and capacity.
Chapter 11: Profiles key players, presenting essential information on leading companies, including product/ service offerings, revenue, gross margin, product introductions/portfolios, recent developments, etc.
Chapter 12: Key findings and conclusions of the report.
QYRESEARCH'S STRENGTHS
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TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Weather Forecasting Services Market Size Growth Rate by Type: 2021 vs 2025 vs 2032
1.2.2 Weather Data and Forecast APIs
1.2.3 Weather Intelligence Software Platforms
1.2.4 Managed Forecasting and Decision Support
1.2.5 Consumer Premium Forecast Services
1.3 Market by Forecast Horizon
1.3.1 Global AI Weather Forecasting Services Market Size Growth Rate by Forecast Horizon: 2021 vs 2025 vs 2032
1.3.2 Nowcasting within 6 Hours
1.3.3 Short-Range Forecasting from 6 Hours to 3 Days
1.3.4 Medium-Range Forecasting from 4 to 15 Days
1.3.5 Extended-Range Forecasting beyond 15 Days
1.4 Market by Model Architecture
1.4.1 Global AI Weather Forecasting Services Market Size Growth Rate by Model Architecture: 2021 vs 2025 vs 2032
1.4.2 Hybrid Physics and AI Models
1.4.3 AI Post-Processing and Downscaling
1.4.4 Fully Data-Driven AI Models
1.4.5 Others
1.5 Market by Forecast Output
1.5.1 Global AI Weather Forecasting Services Market Size Growth Rate by Forecast Output: 2021 vs 2025 vs 2032
1.5.2 General Weather Forecasts
1.5.3 Severe Weather and Hazard Intelligence
1.5.4 Industry Impact Forecasts
1.5.5 Others
1.6 Market by Application
1.6.1 Global AI Weather Forecasting Services Market Growth by Application: 2021 vs 2025 vs 2032
1.6.2 Transportation and Mobility
1.6.3 Energy and Utilities
1.6.4 Agriculture and Natural Resources
1.6.5 Others
1.7 Assumptions and Limitations
1.8 Study Objectives
1.9 Years Considered
2 Global Growth Trends
2.1 Global AI Weather Forecasting Services Market Perspective (2021–2032)
2.2 Global AI Weather Forecasting Services Growth Trends by Region
2.2.1 Global AI Weather Forecasting Services Market Size by Region: 2021 vs 2025 vs 2032
2.2.2 AI Weather Forecasting Services Historic Market Size by Region (2021–2026)
2.2.3 AI Weather Forecasting Services Forecasted Market Size by Region (2027–2032)
2.3 AI Weather Forecasting Services Market Dynamics
2.3.1 AI Weather Forecasting Services Industry Trends
2.3.2 AI Weather Forecasting Services Market Drivers
2.3.3 AI Weather Forecasting Services Market Challenges
2.3.4 AI Weather Forecasting Services Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Weather Forecasting Services Players by Revenue
3.1.1 Global Top AI Weather Forecasting Services Players by Revenue (2021–2026)
3.1.2 Global AI Weather Forecasting Services Revenue Market Share by Players (2021–2026)
3.2 Global Top AI Weather Forecasting Services Players Market Share by Company Tier (Tier 1, Tier 2, Tier 3)
3.3 Global Key Players Ranking by AI Weather Forecasting Services Revenue
3.4 Global AI Weather Forecasting Services Market Concentration Ratio
3.4.1 Global AI Weather Forecasting Services Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Weather Forecasting Services Revenue in 2025
3.5 Global Key Players of AI Weather Forecasting Services Head Offices and Areas Served
3.6 Global Key Players of AI Weather Forecasting Services, Products and Applications
3.7 Global Key Players of AI Weather Forecasting Services, Date of General Availability (GA)
3.8 Mergers and Acquisitions, Expansion Plans
4 AI Weather Forecasting Services Breakdown Data by Type
4.1 Global AI Weather Forecasting Services Historic Market Size by Type (2021–2026)
4.2 Global AI Weather Forecasting Services Forecasted Market Size by Type (2027–2032)
5 AI Weather Forecasting Services Breakdown Data by Application
5.1 Global AI Weather Forecasting Services Historic Market Size by Application (2021–2026)
5.2 Global AI Weather Forecasting Services Forecasted Market Size by Application (2027–2032)
6 North America
6.1 North America AI Weather Forecasting Services Market Size (2021–2032)
6.2 North America AI Weather Forecasting Services Market Growth Rate by Country: 2021 vs 2025 vs 2032
6.3 North America AI Weather Forecasting Services Market Size by Country (2021–2026)
6.4 North America AI Weather Forecasting Services Market Size by Country (2027–2032)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Weather Forecasting Services Market Size (2021–2032)
7.2 Europe AI Weather Forecasting Services Market Growth Rate by Country: 2021 vs 2025 vs 2032
7.3 Europe AI Weather Forecasting Services Market Size by Country (2021–2026)
7.4 Europe AI Weather Forecasting Services Market Size by Country (2027–2032)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Ireland
8 Asia-Pacific
8.1 Asia-Pacific AI Weather Forecasting Services Market Size (2021–2032)
8.2 Asia-Pacific AI Weather Forecasting Services Market Growth Rate by Region: 2021 vs 2025 vs 2032
8.3 Asia-Pacific AI Weather Forecasting Services Market Size by Region (2021–2026)
8.4 Asia-Pacific AI Weather Forecasting Services Market Size by Region (2027–2032)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia & New Zealand
9 Latin America
9.1 Latin America AI Weather Forecasting Services Market Size (2021–2032)
9.2 Latin America AI Weather Forecasting Services Market Growth Rate by Country: 2021 vs 2025 vs 2032
9.3 Latin America AI Weather Forecasting Services Market Size by Country (2021–2026)
9.4 Latin America AI Weather Forecasting Services Market Size by Country (2027–2032)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Weather Forecasting Services Market Size (2021–2032)
10.2 Middle East & Africa AI Weather Forecasting Services Market Growth Rate by Country: 2021 vs 2025 vs 2032
10.3 Middle East & Africa AI Weather Forecasting Services Market Size by Country (2021–2026)
10.4 Middle East & Africa AI Weather Forecasting Services Market Size by Country (2027–2032)
10.5 Israel
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 The Weather Company, LLC
11.1.1 The Weather Company, LLC Company Details
11.1.2 The Weather Company, LLC Business Overview
11.1.3 The Weather Company, LLC AI Weather Forecasting Services Introduction
11.1.4 The Weather Company, LLC Revenue in AI Weather Forecasting Services Business (2021–2026)
11.1.5 The Weather Company, LLC Recent Development
11.2 AccuWeather, Inc.
11.2.1 AccuWeather, Inc. Company Details
11.2.2 AccuWeather, Inc. Business Overview
11.2.3 AccuWeather, Inc. AI Weather Forecasting Services Introduction
11.2.4 AccuWeather, Inc. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.2.5 AccuWeather, Inc. Recent Development
11.3 DTN, LLC
11.3.1 DTN, LLC Company Details
11.3.2 DTN, LLC Business Overview
11.3.3 DTN, LLC AI Weather Forecasting Services Introduction
11.3.4 DTN, LLC Revenue in AI Weather Forecasting Services Business (2021–2026)
11.3.5 DTN, LLC Recent Development
11.4 The Tomorrow Companies Inc.
11.4.1 The Tomorrow Companies Inc. Company Details
11.4.2 The Tomorrow Companies Inc. Business Overview
11.4.3 The Tomorrow Companies Inc. AI Weather Forecasting Services Introduction
11.4.4 The Tomorrow Companies Inc. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.4.5 The Tomorrow Companies Inc. Recent Development
11.5 Google LLC
11.5.1 Google LLC Company Details
11.5.2 Google LLC Business Overview
11.5.3 Google LLC AI Weather Forecasting Services Introduction
11.5.4 Google LLC Revenue in AI Weather Forecasting Services Business (2021–2026)
11.5.5 Google LLC Recent Development
11.6 Spire Global, Inc.
11.6.1 Spire Global, Inc. Company Details
11.6.2 Spire Global, Inc. Business Overview
11.6.3 Spire Global, Inc. AI Weather Forecasting Services Introduction
11.6.4 Spire Global, Inc. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.6.5 Spire Global, Inc. Recent Development
11.7 Climavision
11.7.1 Climavision Company Details
11.7.2 Climavision Business Overview
11.7.3 Climavision AI Weather Forecasting Services Introduction
11.7.4 Climavision Revenue in AI Weather Forecasting Services Business (2021–2026)
11.7.5 Climavision Recent Development
11.8 WindBorne Systems, Inc.
11.8.1 WindBorne Systems, Inc. Company Details
11.8.2 WindBorne Systems, Inc. Business Overview
11.8.3 WindBorne Systems, Inc. AI Weather Forecasting Services Introduction
11.8.4 WindBorne Systems, Inc. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.8.5 WindBorne Systems, Inc. Recent Development
11.9 Salient Predictions, Inc.
11.9.1 Salient Predictions, Inc. Company Details
11.9.2 Salient Predictions, Inc. Business Overview
11.9.3 Salient Predictions, Inc. AI Weather Forecasting Services Introduction
11.9.4 Salient Predictions, Inc. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.9.5 Salient Predictions, Inc. Recent Development
11.10 Silurian AI Inc.
11.10.1 Silurian AI Inc. Company Details
11.10.2 Silurian AI Inc. Business Overview
11.10.3 Silurian AI Inc. AI Weather Forecasting Services Introduction
11.10.4 Silurian AI Inc. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.10.5 Silurian AI Inc. Recent Development
11.11 Vaisala Oyj
11.11.1 Vaisala Oyj Company Details
11.11.2 Vaisala Oyj Business Overview
11.11.3 Vaisala Oyj AI Weather Forecasting Services Introduction
11.11.4 Vaisala Oyj Revenue in AI Weather Forecasting Services Business (2021–2026)
11.11.5 Vaisala Oyj Recent Development
11.12 Meteomatics AG
11.12.1 Meteomatics AG Company Details
11.12.2 Meteomatics AG Business Overview
11.12.3 Meteomatics AG AI Weather Forecasting Services Introduction
11.12.4 Meteomatics AG Revenue in AI Weather Forecasting Services Business (2021–2026)
11.12.5 Meteomatics AG Recent Development
11.13 Jua.ai AG
11.13.1 Jua.ai AG Company Details
11.13.2 Jua.ai AG Business Overview
11.13.3 Jua.ai AG AI Weather Forecasting Services Introduction
11.13.4 Jua.ai AG Revenue in AI Weather Forecasting Services Business (2021–2026)
11.13.5 Jua.ai AG Recent Development
11.14 UBIMET GmbH
11.14.1 UBIMET GmbH Company Details
11.14.2 UBIMET GmbH Business Overview
11.14.3 UBIMET GmbH AI Weather Forecasting Services Introduction
11.14.4 UBIMET GmbH Revenue in AI Weather Forecasting Services Business (2021–2026)
11.14.5 UBIMET GmbH Recent Development
11.15 Windyty, S.E.
11.15.1 Windyty, S.E. Company Details
11.15.2 Windyty, S.E. Business Overview
11.15.3 Windyty, S.E. AI Weather Forecasting Services Introduction
11.15.4 Windyty, S.E. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.15.5 Windyty, S.E. Recent Development
11.16 StormGeo AS
11.16.1 StormGeo AS Company Details
11.16.2 StormGeo AS Business Overview
11.16.3 StormGeo AS AI Weather Forecasting Services Introduction
11.16.4 StormGeo AS Revenue in AI Weather Forecasting Services Business (2021–2026)
11.16.5 StormGeo AS Recent Development
11.17 ignitia AB
11.17.1 ignitia AB Company Details
11.17.2 ignitia AB Business Overview
11.17.3 ignitia AB AI Weather Forecasting Services Introduction
11.17.4 ignitia AB Revenue in AI Weather Forecasting Services Business (2021–2026)
11.17.5 ignitia AB Recent Development
11.18 Weathernews Inc.
11.18.1 Weathernews Inc. Company Details
11.18.2 Weathernews Inc. Business Overview
11.18.3 Weathernews Inc. AI Weather Forecasting Services Introduction
11.18.4 Weathernews Inc. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.18.5 Weathernews Inc. Recent Development
11.19 HALEX CORPORATION
11.19.1 HALEX CORPORATION Company Details
11.19.2 HALEX CORPORATION Business Overview
11.19.3 HALEX CORPORATION AI Weather Forecasting Services Introduction
11.19.4 HALEX CORPORATION Revenue in AI Weather Forecasting Services Business (2021–2026)
11.19.5 HALEX CORPORATION Recent Development
11.20 Kweather Co., Ltd.
11.20.1 Kweather Co., Ltd. Company Details
11.20.2 Kweather Co., Ltd. Business Overview
11.20.3 Kweather Co., Ltd. AI Weather Forecasting Services Introduction
11.20.4 Kweather Co., Ltd. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.20.5 Kweather Co., Ltd. Recent Development
11.21 Beijing Moji Fengyun Technology Co., Ltd.
11.21.1 Beijing Moji Fengyun Technology Co., Ltd. Company Details
11.21.2 Beijing Moji Fengyun Technology Co., Ltd. Business Overview
11.21.3 Beijing Moji Fengyun Technology Co., Ltd. AI Weather Forecasting Services Introduction
11.21.4 Beijing Moji Fengyun Technology Co., Ltd. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.21.5 Beijing Moji Fengyun Technology Co., Ltd. Recent Development
11.22 Beijing ColorfulClouds Technology Co., Ltd.
11.22.1 Beijing ColorfulClouds Technology Co., Ltd. Company Details
11.22.2 Beijing ColorfulClouds Technology Co., Ltd. Business Overview
11.22.3 Beijing ColorfulClouds Technology Co., Ltd. AI Weather Forecasting Services Introduction
11.22.4 Beijing ColorfulClouds Technology Co., Ltd. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.22.5 Beijing ColorfulClouds Technology Co., Ltd. Recent Development
11.23 Xiangji Technology Co., Ltd.
11.23.1 Xiangji Technology Co., Ltd. Company Details
11.23.2 Xiangji Technology Co., Ltd. Business Overview
11.23.3 Xiangji Technology Co., Ltd. AI Weather Forecasting Services Introduction
11.23.4 Xiangji Technology Co., Ltd. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.23.5 Xiangji Technology Co., Ltd. Recent Development
11.24 Geovis Environment Technology Co., Ltd.
11.24.1 Geovis Environment Technology Co., Ltd. Company Details
11.24.2 Geovis Environment Technology Co., Ltd. Business Overview
11.24.3 Geovis Environment Technology Co., Ltd. AI Weather Forecasting Services Introduction
11.24.4 Geovis Environment Technology Co., Ltd. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.24.5 Geovis Environment Technology Co., Ltd. Recent Development
11.25 Wuxi Jiufang Technology Co., Ltd.
11.25.1 Wuxi Jiufang Technology Co., Ltd. Company Details
11.25.2 Wuxi Jiufang Technology Co., Ltd. Business Overview
11.25.3 Wuxi Jiufang Technology Co., Ltd. AI Weather Forecasting Services Introduction
11.25.4 Wuxi Jiufang Technology Co., Ltd. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.25.5 Wuxi Jiufang Technology Co., Ltd. Recent Development
11.26 WeatherRisk Explore Inc.
11.26.1 WeatherRisk Explore Inc. Company Details
11.26.2 WeatherRisk Explore Inc. Business Overview
11.26.3 WeatherRisk Explore Inc. AI Weather Forecasting Services Introduction
11.26.4 WeatherRisk Explore Inc. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.26.5 WeatherRisk Explore Inc. Recent Development
11.27 Skymet Weather Services Private Limited
11.27.1 Skymet Weather Services Private Limited Company Details
11.27.2 Skymet Weather Services Private Limited Business Overview
11.27.3 Skymet Weather Services Private Limited AI Weather Forecasting Services Introduction
11.27.4 Skymet Weather Services Private Limited Revenue in AI Weather Forecasting Services Business (2021–2026)
11.27.5 Skymet Weather Services Private Limited Recent Development
11.28 Weather Risk Management Services Private Limited
11.28.1 Weather Risk Management Services Private Limited Company Details
11.28.2 Weather Risk Management Services Private Limited Business Overview
11.28.3 Weather Risk Management Services Private Limited AI Weather Forecasting Services Introduction
11.28.4 Weather Risk Management Services Private Limited Revenue in AI Weather Forecasting Services Business (2021–2026)
11.28.5 Weather Risk Management Services Private Limited Recent Development
11.29 Pluvia.ai
11.29.1 Pluvia.ai Company Details
11.29.2 Pluvia.ai Business Overview
11.29.3 Pluvia.ai AI Weather Forecasting Services Introduction
11.29.4 Pluvia.ai Revenue in AI Weather Forecasting Services Business (2021–2026)
11.29.5 Pluvia.ai Recent Development
11.30 ArabiaWeather Inc.
11.30.1 ArabiaWeather Inc. Company Details
11.30.2 ArabiaWeather Inc. Business Overview
11.30.3 ArabiaWeather Inc. AI Weather Forecasting Services Introduction
11.30.4 ArabiaWeather Inc. Revenue in AI Weather Forecasting Services Business (2021–2026)
11.30.5 ArabiaWeather Inc. Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
Related Reports
The global AI Weather Forecasting Services market size was US$ 1800 million in 2025 and is forecast to reach a readjusted size of US$ 3582 million by 2032 with a CAGR of 10.2% during the forecast period 2026-2032.
Published Date: 2026-08-13
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USD 4250.00
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The global AI Weather Forecasting Services market is projected to grow from US$ 1800 million in 2025 to US$ 3582 million by 2032, at a CAGR of 10.2% (2026-2032), driven by critical product segments and diverse end‑use applications.
Published Date: 2026-08-13
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The global market for AI Weather Forecasting Services was estimated to be worth US$ 1800 million in 2025 and is projected to reach US$ 3582 million, growing at a CAGR of 10.2% from 2026 to 2032.
Published Date: 2026-08-13
Pages: 179
USD 3950.00
(Single User License)
The global AI Weather Forecasting Services market size was US$ 1800 million in 2025 and is forecast to reach a readjusted size of US$ 3582 million by 2032 with a CAGR of 10.2% during the forecast period 2026-2032.
Published: 2026-08-13
Pages: 168
The global AI Weather Forecasting Services market is projected to grow from US$ 1800 million in 2025 to US$ 3582 million by 2032, at a CAGR of 10.2% (2026-2032), driven by critical product segments and diverse end‑use applications.
Published: 2026-08-13
Pages: 186
The global market for AI Weather Forecasting Services was estimated to be worth US$ 1800 million in 2025 and is projected to reach US$ 3582 million, growing at a CAGR of 10.2% from 2026 to 2032.
Published: 2026-08-13
Pages: 179
REPORT COVERAGE
DESCRIPTION
KEY FINDINGS
OVERVIEW
MARKET TRENDS
MARKET SEGMENTATION
MARKET DYNAMICS
VALUE CHAIN ANALYSIS
SEGMENT INSIGHTS
DOWNSTREAM MARKET OPPORTUNITIES
REGIONAL INSIGHTS
COMPETITIVE LANDSCAPE ANALYSIS
REPORT SCOPE
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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