기상 예측 서비스 시장 규모, 점유율, 성장 및 세계 업계 분석 : 유형 및 용도별, 지역별 인사이트 및 예측(2026-2034년)

Growth Factors of weather forecasting services Market

The global weather forecasting services market is experiencing strong growth due to rising climate uncertainty, digital transformation, and increasing reliance on accurate meteorological intelligence across industries. According to the 2025 report, the global market was valued at USD 2.77 billion in 2025. It is projected to grow to USD 2.95 billion in 2026 and reach USD 5.23 billion by 2034, exhibiting a CAGR of 7.40% during 2026-2034.

North America dominated the market with a 30.90% share in 2025, supported by advanced infrastructure, satellite networks, and strong public-private collaboration.

Impact of Generative AI

Generative AI is transforming weather forecasting services by improving real-time accuracy and predictive modeling. AI-driven systems process satellite imagery, radar feeds, IoT sensors, and historical climate datasets to generate hyperlocal and long-range forecasts.

For instance, in May 2025, the Aurora AI model developed by the University of Pennsylvania in collaboration with Microsoft demonstrated 92% accuracy in 10-day global forecasts, surpassing traditional systems such as the European Centre for Medium-Range Weather Forecasts (ECMWF).

AI-generated visual simulations now assist industries such as agriculture, aviation, emergency management, and logistics in making real-time operational decisions.

Market Dynamics

Market Drivers

Climate Change and Economic Impact of Extreme Weather

The increasing frequency of hurricanes, floods, wildfires, droughts, and heatwaves has intensified the need for real-time weather intelligence. Governments and enterprises are investing heavily in multi-hazard early warning systems to reduce economic losses.

According to global climate agencies, early warning systems can reduce disaster damage by up to 30% with 24-hour prior alerts. Sectors such as aviation, renewable energy, agriculture, maritime transport, and defense increasingly depend on precision forecasts to minimize risk and operational disruption.

Market Restraints

High Infrastructure and Technology Costs

Deployment of advanced radar systems, satellite monitoring, AI modeling platforms, and meteorological stations requires significant capital investment. Developing regions face infrastructure gaps and limited skilled workforce availability, which may hinder adoption.

Reports from organizations such as the World Meteorological Organization highlight limited observation networks in Sub-Saharan Africa, affecting real-time data accuracy.

Market Opportunities

Rising Demand for Hyperlocal Forecasting

Emerging economies in Asia Pacific, Africa, and Latin America are witnessing growing demand for localized, high-resolution forecasts. Integration of weather APIs into mobile apps, e-commerce platforms, and smart city infrastructure is creating new business models.

For example, collaborations between the India Meteorological Department and technology providers are enhancing AI-based monsoon predictions to support agriculture and disaster preparedness.

Segmentation Analysis

By Forecast Type

The market includes nowcast, short-range, medium-range, and long-range forecasting.

• Short-range forecasting holds the largest share of 34.24% in 2026 and is projected to grow at the highest CAGR. It typically covers 1-3 days and is widely used in aviation, agriculture, and logistics.
• Nowcasting provides minute-to-hour predictions critical for air traffic and emergency management.
• Medium-range (4-10 days) and long-range (weeks to months) forecasts support utilities, insurance, and construction planning.

By Purpose

• Safety segment leads with 53.56% market share in 2026, driven by disaster management and public safety initiatives.
• Operational efficiency is gaining traction in energy, utilities, agriculture, and logistics sectors.
• Other uses include insurance risk modeling, tourism, and event planning.

By Organization Size

• Large enterprises account for 68.14% of the market share in 2026, owing to higher investment capacity and global operational needs.
• SMEs are adopting affordable SaaS-based weather intelligence platforms to improve operational planning.

By Industry

• Transportation holds the largest share of 22.03% in 2026, due to dependency on real-time weather updates for aviation, maritime, rail, and road safety.
• Energy & Utilities is projected to grow at the highest rate, driven by renewable energy forecasting needs.
• Agriculture, defense, BFSI, retail, media, construction, and mining are also major contributors.

Regional Outlook

North America

North America led the market with a valuation of USD 0.86 billion in 2025. The U.S. market is projected to reach USD 0.7 billion in 2026, supported by institutions such as National Oceanic and Atmospheric Administration and private players including AccuWeather and The Weather Company.

Asia Pacific

Asia Pacific is projected to grow at the highest CAGR. By 2026:

• Japan market: USD 0.05 billion
• China market: USD 0.13 billion
• India market: USD 0.08 billion

Government initiatives and AI-based upgrades are strengthening forecasting infrastructure.

Europe

Europe remains a strong market, supported by the Copernicus Programme and sustainable infrastructure investments.

By 2026:

• UK market: USD 0.2 billion
• Germany market: USD 0.24 billion

Middle East & Africa

Growth is driven by climate resilience strategies, especially in GCC nations. Infrastructure gaps remain a challenge in parts of Africa, though international collaborations are improving early warning systems.

South America

Countries such as Brazil and Argentina are investing in digital meteorological systems to address El Nino effects and agricultural risk management.

Competitive Landscape

The market includes national meteorological agencies and private firms emphasizing AI-based modeling and strategic collaborations. Key players include:

• The Weather Company
• DTN
• AccuWeather
• Vaisala Oyj
• StormGeo
• Skymet Weather Services Pvt Ltd.

Recent developments include AI satellite launches, strategic acquisitions by Vaisala, and government-backed AI forecasting projects in India and Japan.

Conclusion

The global weather forecasting services market is set for robust expansion, increasing from USD 2.77 billion in 2025 to USD 5.23 billion by 2034. Advancements in generative AI, satellite analytics, cloud computing, and hyperlocal modeling are transforming forecasting precision. Rising climate volatility, regulatory focus on disaster preparedness, and integration of AI-powered platforms across industries will continue driving sustained market growth through 2034.

Segmentation By Forecast Type

• Nowcast
• Short-Range
• Medium-Range
• Long-Range

By Purpose

• Safety
• Operational Efficiency
• Others

By Organization Size

• Small & Medium-Sized Enterprises
• Large Enterprises

By Industry

• Transportation
• Defense
• Agriculture & Forestry
• Banking, Financial Services and Insurance (BFSI)
• Media
• Energy & Utilities
• Construction & Mining
• Retail
• Others

By Region

• North America (By Forecast Type, By Purpose, By Industry, By Organization Size, and By Country)
  • U.S. (By Forecast Type)
  • Canada (By Forecast Type)
  • Mexico (By Forecast Type)
• Europe (By Forecast Type, By Purpose, By Industry, By Organization Size, and By Country)
  • U.K. (By Forecast Type)
  • Germany (By Forecast Type)
  • France (By Forecast Type)
  • Italy (By Forecast Type)
  • Spain (By Forecast Type)
  • Rest of Europe
• Asia Pacific (By Forecast Type, By Purpose, By Industry, By Organization Size, and By Country)
  • China (By Forecast Type)
  • Japan (By Forecast Type)
  • India (By Forecast Type)
  • South Korea (By Forecast Type)
  • Rest of Asia Pacific
• Middle East & Africa (By Forecast Type, By Purpose, By Industry, By Organization Size, and By Country)
  • GCC (By Forecast Type)
  • South Africa (By Forecast Type)
  • Rest of Middle East & Africa
• South America (By Forecast Type, By Purpose, By Industry, By Organization Size, and By Country)
  • Brazil (By Forecast Type)
  • Argentina (By Forecast Type)
  • Rest of South America

Companies Profiled in the Report The Weather Company (U.S.), DTN (U.S.), Accuweather Inc. (U.S.), Fugro (Netherlands), Enav S.P.A (Italy), Met Office (U.K.), Vaisala Oyj (Finland), StormGeo (Alfa Laval AB), Pelmorex Corp. (Canada), BMT Group (U.K.)

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends
• 3.3. Impact of Generative AI

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Weather Forecasting Services Key Players (Top 3 - 5) Market Share/Ranking, 2025

5. Global Weather Forecasting Services Market Size Estimates and Forecasts, By Segments, 2021-2034

• 5.1. Key Findings
• 5.2. By Forecast Type (USD)
  • 5.2.1. Nowcast
  • 5.2.2. Short- Range
  • 5.2.3. Medium- Range
  • 5.2.4. Long- Range
• 5.3. By Purpose (USD)
  • 5.3.1. Safety
  • 5.3.2. Operational Efficiency
  • 5.3.3. Others
• 5.4. By Organisation Size (USD)
  • 5.4.1. Small & Medium- Sized Enterprises
  • 5.4.2. Large Enterprises
• 5.5. By Industry (USD)
  • 5.5.1. Transportation
  • 5.5.2. Defense
  • 5.5.3. Agriculture & Forestry
  • 5.5.4. Banking, Financial Services and Insurance (BFSI)
  • 5.5.5. Media
  • 5.5.6. Energy & Utilities
  • 5.5.7. Construction & Mining
  • 5.5.8. Retail
  • 5.5.9. Others
• 5.6. By Region (USD)
  • 5.6.1. North America
  • 5.6.2. South America
  • 5.6.3. Europe
  • 5.6.4. Asia Pacific
  • 5.6.5. Middle East & Africa

6. North America Weather Forecasting Services Market Size Estimates and Forecasts, By Segments, 2021-2034

• 6.1. Key Findings
• 6.2. By Forecast Type (USD)
  • 6.2.1. Nowcast
  • 6.2.2. Short- Range
  • 6.2.3. Medium- Range
  • 6.2.4. Long- Range
• 6.3. By Purpose (USD)
  • 6.3.1. Safety
  • 6.3.2. Operational Efficiency
  • 6.3.3. Others
• 6.4. By Organisation Size (USD)
  • 6.4.1. Small & Medium- Sized Enterprises
  • 6.4.2. Large Enterprises
• 6.5. By Industry (USD)
  • 6.5.1. Transportation
  • 6.5.2. Defense
  • 6.5.3. Agriculture & Forestry
  • 6.5.4. Banking, Financial Services and Insurance (BFSI)
  • 6.5.5. Media
  • 6.5.6. Energy & Utilities
  • 6.5.7. Construction & Mining
  • 6.5.8. Retail
  • 6.5.9. Others
• 6.6. By Country (USD)
  • 6.6.1. United States
  • 6.6.2. Canada
  • 6.6.3. Mexico

7. South America Weather Forecasting Services Market Size Estimates and Forecasts, By Segments, 2021-2034

• 7.1. Key Findings
• 7.2. By Forecast Type (USD)
  • 7.2.1. Nowcast
  • 7.2.2. Short- Range
  • 7.2.3. Medium- Range
  • 7.2.4. Long- Range
• 7.3. By Purpose (USD)
  • 7.3.1. Safety
  • 7.3.2. Operational Efficiency
  • 7.3.3. Others
• 7.4. By Organisation Size (USD)
  • 7.4.1. Small & Medium- Sized Enterprises
  • 7.4.2. Large Enterprises
• 7.5. By Industry (USD)
  • 7.5.1. Transportation
  • 7.5.2. Defense
  • 7.5.3. Agriculture & Forestry
  • 7.5.4. Banking, Financial Services and Insurance (BFSI)
  • 7.5.5. Media
  • 7.5.6. Energy & Utilities
  • 7.5.7. Construction & Mining
  • 7.5.8. Retail
  • 7.5.9. Others
• 7.6. By Country (USD)
  • 7.6.1. Brazil
  • 7.6.2. Argentina
  • 7.6.3. Rest of South America

8. Europe Weather Forecasting Services Market Size Estimates and Forecasts, By Segments, 2021-2034

• 8.1. Key Findings
• 8.2. By Forecast Type (USD)
  • 8.2.1. Nowcast
  • 8.2.2. Short- Range
  • 8.2.3. Medium- Range
  • 8.2.4. Long- Range
• 8.3. By Purpose (USD)
  • 8.3.1. Safety
  • 8.3.2. Operational Efficiency
  • 8.3.3. Others
• 8.4. By Organisation Size (USD)
  • 8.4.1. Small & Medium- Sized Enterprises
  • 8.4.2. Large Enterprises
• 8.5. By Industry (USD)
  • 8.5.1. Transportation
  • 8.5.2. Defense
  • 8.5.3. Agriculture & Forestry
  • 8.5.4. Banking, Financial Services and Insurance (BFSI)
  • 8.5.5. Media
  • 8.5.6. Energy & Utilities
  • 8.5.7. Construction & Mining
  • 8.5.8. Retail
  • 8.5.9. Others
• 8.6. By Country (USD)
  • 8.6.1. United Kingdom
  • 8.6.2. Germany
  • 8.6.3. France
  • 8.6.4. Italy
  • 8.6.5. Spain
  • 8.6.6. Rest of Europe

9. Asia Pacific Weather Forecasting Services Market Size Estimates and Forecasts, By Segments, 2021-2034

• 9.1. Key Findings
• 9.2. By Forecast Type (USD)
  • 9.2.1. Nowcast
  • 9.2.2. Short- Range
  • 9.2.3. Medium- Range
  • 9.2.4. Long- Range
• 9.3. By Purpose (USD)
  • 9.3.1. Safety
  • 9.3.2. Operational Efficiency
  • 9.3.3. Others
• 9.4. By Organisation Size (USD)
  • 9.4.1. Small & Medium- Sized Enterprises
  • 9.4.2. Large Enterprises
• 9.5. By Industry (USD)
  • 9.5.1. Transportation
  • 9.5.2. Defense
  • 9.5.3. Agriculture & Forestry
  • 9.5.4. Banking, Financial Services and Insurance (BFSI)
  • 9.5.5. Media
  • 9.5.6. Energy & Utilities
  • 9.5.7. Construction & Mining
  • 9.5.8. Retail
  • 9.5.9. Others
• 9.6. By Country (USD)
  • 9.6.1. China
  • 9.6.2. India
  • 9.6.3. Japan
  • 9.6.4. South Korea
  • 9.6.5. Australia
  • 9.6.6. Rest of Asia Pacific

10. Middle East & Africa Weather Forecasting Services Market Size Estimates and Forecasts, By Segments, 2021-2034

• 10.1. Key Findings
• 10.2. By Forecast Type (USD)
  • 10.2.1. Nowcast
  • 10.2.2. Short- Range
  • 10.2.3. Medium- Range
  • 10.2.4. Long- Range
• 10.3. By Purpose (USD)
  • 10.3.1. Safety
  • 10.3.2. Operational Efficiency
  • 10.3.3. Others
• 10.4. By Organisation Size (USD)
  • 10.4.1. Small & Medium- Sized Enterprises
  • 10.4.2. Large Enterprises
• 10.5. By Industry (USD)
  • 10.5.1. Transportation
  • 10.5.2. Defense
  • 10.5.3. Agriculture & Forestry
  • 10.5.4. Banking, Financial Services and Insurance (BFSI)
  • 10.5.5. Media
  • 10.5.6. Energy & Utilities
  • 10.5.7. Construction & Mining
  • 10.5.8. Retail
  • 10.5.9. Others
• 10.6. By Country (USD)
  • 10.6.1. GCC
  • 10.6.2. South Africa
  • 10.6.3. Rest of MEA

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. Accuweather Inc.
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. BMT Group
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. DTN
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. Enav S.P.A
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Fugro
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Met Office
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. Pelmorex Corp.
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. StormGeo
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. The Weather Company
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. Vaisala Oyj
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways