The AI in weather prediction market is set to witness robust growth at a CAGR of 7.92% during the forecast period to be worth US$891.392 million in 2030 from US$608.913 million in 2025.
The demand for AI-driven weather forecasting technology is on the rise as various business sectors seek precise and reliable weather predictions. Current industry trends emphasize enhancing both the precision and speed of forecasts. These systems leverage data from satellites, weather stations, and sensors to identify intricate patterns that refine future weather estimates. Deep learning algorithms and neural networks play a crucial role in improving weather predictions, offering accurate insights into temperatures, rainfall, and severe weather events. AI technology enables predictions tailored to specific streets and neighborhoods, aiding city planning, road management, and farming practices.
Growth Drivers in the AI Weather Prediction Market:
The increasing frequency of extreme weather events is a significant driver. As the global incidence of severe weather phenomena such as intense hurricanes, floods, and droughts rises, the accuracy of weather forecasts becomes paramount. AI systems, by processing extensive datasets, enhance prediction quality, enabling emergency services to better prepare for and respond to disasters. For example, data from the European Environment Agency in 2024 indicated that Europe experienced between 85,000 and 145,000 deaths and incurred half a trillion euros in economic damages due to extreme weather events over the past four decades.
Geographical Outlook:The AI in Weather Prediction market exhibits diverse growth patterns across different regions:
- North America: This region leads the market due to its advanced technology adoption, supportive government policies, and substantial demand for accurate weather data from the agriculture and energy sectors. AI enhances the efficiency and accuracy of renewable energy systems, contributing to improved power generation.
- South America: While still trailing other regions in development, South America is expected to expand its AI weather prediction sector. Significant market growth opportunities exist through improvements in agricultural efficiency facilitated by enhanced forecasting.
- Europe: Notable market expansion is anticipated across Europe, with countries like Germany, the UK, and Italy benefiting from their investments in renewable energy. Increased investment in advanced weather forecasting technology by public safety authorities and economic institutions drives further advancements.
- Middle East and Africa: This region demonstrates rapid growth in AI weather prediction driven by improvements in advanced disaster management systems. Governments are investing heavily in creating advanced warning systems for natural disasters, creating significant business opportunities.
- Asia-Pacific: The Asia-Pacific region is experiencing rapid growth in AI-based forecasting as businesses increase their investments in digital weather forecasting technologies, particularly in the retail and agricultural sectors in countries like China and India. In November 2024, India's Ministry of Earth Sciences announced its decision to integrate AI technology into weather and climate forecasting systems to enhance accuracy and system performance.
Reasons for buying this report::
- Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
- Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
- Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
- Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
- Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.
What can businesses use this report for?
Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence.
Report Coverage:
- Historical data & forecasts from 2022 to 2030
- Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
- Competitive Positioning, Strategies, and Market Share Analysis
- Revenue Growth and Forecast Assessment of segments and regions including countries
- Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)
AI In Weather Prediction Market is analyzed into the following segments:
By Technology
- Machine Learning
- Deep Learning
- Others
By Services
- Weather Forecasting
- Climate Modeling
- Severe Weather Prediction
- Others
By End-User
- Aviation
- Marine
- Agriculture
- Energy and Utilities
- Transportation and Logistics
- Others
By Geography
- North America
- USA
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Others
- Europe
- United Kingdom
- Germany
- France
- Spain
- Others
- Middle East and Africa
- Saudi Arabia
- UAE
- Others
- Asia Pacific
- China
- Japan
- India
- South Korea
- Taiwan
- Others
Table of Contents
Companies Mentioned
- Tomorrow.io (ClimaCell)
- IBM
- AccuWeather
- Microsoft
- Nvidia
- Jupiter Intelligence
- DTN
- Understory
- WeatherFlow
- Open Climate Fix
- Atmo Inc.
- Climavision
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 140 |
| Published | February 2025 |
| Forecast Period | 2025 - 2030 |
| Estimated Market Value ( USD | $ 608.91 Million |
| Forecasted Market Value ( USD | $ 891.39 Million |
| Compound Annual Growth Rate | 7.9% |
| Regions Covered | Global |
| No. of Companies Mentioned | 13 |
