
Region:North America
Author(s):Meenakshi
Product Code:KROD2102
November 2024
92

By Service Type: The USA weather forecasting market is segmented by service type into short-range forecasting, medium-range forecasting, long-range forecasting, and severe weather alerts and warnings. In 2023, short-range forecasting held the dominant share of the market. This is largely because most industries, including transportation and logistics, depend heavily on immediate weather conditions to make quick decisions and ensure operational safety. The demand for this service type is also driven by the increasing unpredictability of weather patterns, necessitating constant updates on current conditions.

By End-User Industry: The USA weather forecasting market is segmented by end-user industry into agriculture, aviation, energy & utilities, marine, and transportation & logistics. In 2023, aviation accounted for the largest market share. The aviation industry requires precise, real-time weather data to ensure safe and efficient flight operations. Accurate forecasting helps in mitigating flight delays, managing fuel consumption, and ensuring passenger safety, making aviation a significant user of weather forecasting services. Additionally, the increasing number of flights and the rising focus on improving air travel efficiency further contribute to the dominance of this segment.

The market is dominated by several key players, both from the public and private sectors. The competitive landscape is characterized by a mix of global companies providing diverse forecasting services, ranging from traditional meteorological data to advanced AI-driven solutions. These companies invest heavily in R&D to enhance their predictive accuracy and serve a broader range of industries.
|
Company Name |
Establishment Year |
Headquarters |
No. of Employees |
Revenue |
Technological Integration |
Subscription Models |
Regional Coverage |
Recent M&A Activities |
|
The Weather Company (IBM) |
1981 |
New York, USA |
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|
AccuWeather |
1962 |
Pennsylvania, USA |
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|
DTN (Data Transmission Network) |
1984 |
Minnesota, USA |
||||||
|
Spire Global |
2012 |
Virginia, USA |
||||||
|
Earth Networks |
1993 |
Maryland, USA |
The USA weather forecasting service market is expected to continue experiencing significant growth over the next several years. Key factors driving this growth include ongoing advancements in AI and IoT technology, as well as the increasing need for accurate weather data across industries like agriculture, aviation, and energy. Additionally, climate change and unpredictable weather patterns are prompting a greater reliance on forecasting services to manage risks and reduce losses.
|
By Service Type |
Short-Range Forecasting Medium-Range Forecasting Long-Range Forecasting Severe Weather Alerts and Warnings |
|
By End-User Industry |
Agriculture Aviation Energy & Utilities Marine Transportation & Logistics |
|
By Technology |
AI-Based Forecasting Supercomputing Forecasting Satellite Data Forecasting Weather Radar |
|
By Distribution Channel |
B2B Weather Forecasting Services B2C Weather Forecasting Services Government/Public Sector Forecasting |
|
By Region |
Northeast Midwest South West |
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate (Market-Specific Growth Trends)
1.4. Market Segmentation Overview
2.1. Historical Market Size
2.2. Year-On-Year Growth Analysis
2.3. Key Market Developments and Milestones (Key Market Advancements)
3.1. Growth Drivers
3.1.1. Increased Demand for Accurate Weather Prediction (Market-Specific Growth Factor)
3.1.2. Expansion of Weather-Dependent Industries (e.g., Agriculture, Aviation, Energy)
3.1.3. Government Investments in Meteorological Infrastructure
3.1.4. Rising Adoption of Advanced Meteorological Technologies (AI, IoT, Supercomputing)
3.2. Market Challenges
3.2.1. High Operational Costs
3.2.2. Data Privacy Concerns (Data Sovereignty and Ownership)
3.2.3. Limited Coverage in Remote Areas (Market-Specific Geographic Limitation)
3.2.4. Technical Complexity of Real-Time Data Integration (Challenges in System Implementation)
3.3. Opportunities
3.3.1. Increasing Use of Weather Data in Smart City Initiatives
3.3.2. Emergence of Mobile Weather Forecasting Apps
3.3.3. Opportunities in Predictive Analytics for Climate Change
3.3.4. Expansion of Customizable Weather Forecasting Solutions for Niche Markets
3.4. Trends
3.4.1. Integration with AI-Powered Weather Forecasting Models
3.4.2. Use of Satellites and Drones for Enhanced Forecast Accuracy
3.4.3. Cloud-Based Data Processing and Sharing
3.4.4. Growth in Subscription-Based Forecasting Services (B2B & B2C)
3.5. Government Regulations
3.5.1. National Weather Service Regulations (NOAA Standards)
3.5.2. Data Sharing Mandates Between Private and Public Sectors
3.5.3. Weather Data Compliance Requirements (Meteorological Data Accuracy Standards)
3.6. SWOT Analysis (Strengths, Weaknesses, Opportunities, Threats)
3.7. Stakeholder Ecosystem (Meteorologists, Government Bodies, Private Sector)
3.8. Porters Five Forces (Competitive Dynamics Specific to Weather Forecasting Services)
3.9. Competitive Landscape
4.1. By Service Type (In Value %)
4.1.1. Short-Range Forecasting
4.1.2. Medium-Range Forecasting
4.1.3. Long-Range Forecasting
4.1.4. Severe Weather Alerts and Warnings
4.2. By End-User Industry (In Value %)
4.2.1. Agriculture
4.2.2. Aviation
4.2.3. Energy & Utilities
4.2.4. Marine
4.2.5. Transportation & Logistics
4.3. By Technology (In Value %)
4.3.1. AI-Based Forecasting
4.3.2. Supercomputing Forecasting
4.3.3. Satellite Data Forecasting
4.3.4. Weather Radar
4.4. By Distribution Channel (In Value %)
4.4.1. B2B Weather Forecasting Services
4.4.2. B2C Weather Forecasting Services
4.4.3. Government/Public Sector Forecasting
4.5. By Region (In Value %)
4.5.1. Northeast
4.5.2. Midwest
4.5.3. South
4.5.4. West
5.1. Detailed Profiles of Major Companies
5.1.1. The Weather Company (IBM)
5.1.2. AccuWeather
5.1.3. MeteoGroup
5.1.4. DTN (Data Transmission Network)
5.1.5. StormGeo
5.1.6. Earth Networks
5.1.7. Weathernews Inc.
5.1.8. Pelmorex Weather Networks
5.1.9. Spire Global
5.1.10. National Oceanic and Atmospheric Administration (NOAA)
5.1.11. ClimaCell (Tomorrow.io)
5.1.12. Environdata Weather Stations
5.1.13. WeatherBug
5.1.14. Skymet Weather Services
5.1.15. Climavision
5.2. Cross Comparison Parameters (Number of Employees, Headquarters, Inception Year, Revenue, Market Share, Regional Coverage, Technological Integration, Subscription Models)
5.3. Market Share Analysis
5.4. Strategic Initiatives
5.5. Mergers and Acquisitions
5.6. Investment Analysis
5.7. Venture Capital Funding
5.8. Government Grants
5.9. Private Equity Investments
6.1. Federal Weather Regulation Standards (NOAA Regulations)
6.2. Compliance Requirements (Data Collection, Reporting)
6.3. Certification Processes (Accreditation for Forecasting Accuracy)
7.1. Future Market Size Projections
7.2. Key Factors Driving Future Market Growth
8.1. By Service Type (In Value %)
8.2. By End-User Industry (In Value %)
8.3. By Technology (In Value %)
8.4. By Distribution Channel (In Value %)
8.5. By Region (In Value %)
9.1. TAM/SAM/SOM Analysis
9.2. Customer Cohort Analysis
9.3. Marketing Initiatives
9.4. White Space Opportunity Analysis
Disclaimer Contact UsThe initial stage involves mapping all significant stakeholders within the USA Weather Forecasting Service Market. This is achieved through comprehensive desk research, using a combination of secondary sources and proprietary databases to gather a detailed understanding of market dynamics. The primary goal is to identify the critical variables impacting this market.
This phase involves collecting and analyzing historical data relevant to the USA Weather Forecasting Service Market. The focus is on evaluating market penetration, service provider dynamics, and revenue generation. We also examine key quality metrics for service reliability, which is essential for producing accurate forecasts.
Market hypotheses are formulated and subsequently validated through consultations with industry experts. These interviews are conducted using computer-assisted telephone interviews (CATIs) with key industry practitioners to verify the accuracy and reliability of the data.
The final step entails synthesizing the data collected from industry participants, consolidating insights from multiple weather forecasting service providers to confirm the accuracy of the findings. This approach ensures that the final report presents a comprehensive analysis of the USA Weather Forecasting Service Market.
The USA weather forecasting service market, valued at USD 539 million, is driven by increased demand from sectors such as agriculture, aviation, and energy, along with advancements in AI and IoT technologies.
Challenges in USA weather forecasting service market include high operational costs, technical complexities in real-time data integration, and limited coverage in remote areas. These factors can impact the expansion of forecasting services across the country.
Key players in the USA weather forecasting service market include The Weather Company (IBM), AccuWeather, DTN, Spire Global, and Earth Networks. These companies dominate due to their technological integration, extensive market reach, and strong industry relationships.
The USA weather forecasting service market is primarily driven by increased demand for real-time and accurate weather data across various industries. Advancements in AI and IoT technologies and government investments in meteorological infrastructure also play a crucial role in driving market growth.
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