Weather Forecasting Services Market by Industry (Aviation, Agriculture, Marine, Oil & Gas, Energy & Utilities, Insurance, Retail, Media), Forecasting Type (Nowcast, Short, Medium, Extended, Long), Purpose, Organization Size, & Region - 2026
The Weather Forecasting Services Market is projected to reach USD 2.7 billion by 2026, it is expected to grow at a CAGR of 9.9% during the forecast period.
Weather forecasting services involve the application of science and technology to predict atmospheric conditions. Advancements and improvements in forecasting software have enabled digital satellite imagery, radar imagery, model data, and surface observations to predict weather conditions with greater accuracy.
The weather forecasting services market has been growing significantly over the past few years. The market is driven by the increasing use of weather forecasting services by transport and logistics to improve their infrastructure, rising demand for weather forecasting services due to boost in the agriculture sector to meet the needs of a growing population, the need to improve safety in airline operations, and uncertainties in rainfall. The growth of the renewable energy sector, faster result generation by supercomputers, and the introduction of high-end radars, small satellites, and big data analytics in weather forecasting are expected to provide further growth opportunities for the market. However, the complexity of weather forecasting models and the dynamic nature of atmospheric variables are some of the factors expected to restrain the market's growth
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Weather Forecasting Services Market Dynamics:
Increase in weather monitoring for disaster management
Disaster management depends on monitoring services for continuous information on changing weather scenarios. Weather forecasting and early warnings significantly help reduce the loss of life and damage caused by natural disasters such as floods, wildfires, hurricanes, avalanches, and tsunamis, among others. Continuous weather monitoring enables enhanced planning by civil, government, and military authorities, as well as better natural hazard mitigation and industrial planning. Furthermore, accurate and precise information about the probabilities of weather-related events also fuels the growth of specialized sectors, such as insurance and energy,which can mitigate economic and financial losses resulting from natural calamities. Thus, the increased need for continuous weather monitoring for disaster management is expected to fuel the growth of weather forecasting services across the globe.
The correct forecasting service can provide reliable weather data by providing updates on real-time lightning detection and customizable alerts, which help stakeholders prepare and recover quickly after a natural calamity. For instance, the India Meteorological Department (IMD) issues various categories, such as district-wise, subdivision-wise, district-wise, and station-wise nowcast warnings. These warnings describe the current state of the weather and predict likable changes that might occur in the next few hours across the country. In December 2021, the IMD predicted a cyclonic storm over the coast of Odisha, India. This resulted in the escalation of planned evacuation efforts and helped to develop a robust disaster management strategy by requisitioning National Disaster Response Force (NDRF) and fire department to carry out rescue and evacuation operations in the affected area.
Restraint:Dynamic nature of atmospheric variables
Most atmospheric phenomena addressed in weather forecasting processes are non-linear and highly reliant on individual area's starting weather conditions. Although various occurrences may be anticipated based on a comprehensive understanding of a numerical weather forecasting model's beginning circumstances, weather conditions are dynamic in nature and fluctuate owing to changes in several atmospheric factors. In addition to the inherent non-linearity of weather data acquired by various weather forecasting methods, such as weather stations, weather observation systems, and weather radars, this makes the weather forecasting process extremely difficult. These procedures are particularly difficult because to the need for proper integration and analysis of a vast volume of meteorological data. This is predicted to limit the market growth of weather forecasting services.
Opportunity:Use of big data analytics in weather forecasting services
Weather forecasting can be challenging due to the many variables involved, such as satellite imagery, surface data, precipitation reports, and briefings from other forecasters, along with the complex interactions between these variables. However, an increase in the ability to gather and process weather data enables weather forecasters to predict the time and strength of hurricanes, floods, snowstorms, and other phenomena. Weather scientists are using big data analytics and predictive analytics to predict future weather conditions based on studying current and past weather data, thereby presenting opportunities for this market. Big data analytics plays a key role in processing weather-related data to provide timely information that helps provide accurate weather forecasts. Using big data, local authorities can better anticipate problems caused by weather before they occur. IBM also provides massive computing power to the Korean Meteorological Administration (KMA) to fully embrace big data technology. Using big data, the KMA can now improve its forecasts regarding the strength and location of tropical storms and other weather systems.
Challenge:Frequent occurrence of false weather alarms
The occurrence of false alarms or a high False Alarm Ratio (FAR) could challenge the growth of the weather forecasting services market. A false alarm occurs when a warning for any natural calamity is expected to ensure necessary precautions before its occurrence. However, it is observed that 3 out of 4 alarms are false. A weather alarm is issued when any hazard, such as a tornado, is expected so that necessary precautions can be taken. However, on average, roughly 70% of tornado warnings issued in the US are false alarms which means out of every 10 tornado alarms only 3 ahave been real. Too many false alarms may psychologically affect people and lead to ignoring the true alarms. The National Weather Service (NWS) has been taking initiatives to tackle this issue of false alarms. In 2015, NWS launched the Tornado Warning Improvement Process, encouraging NWS offices are asked to share insights from the local to know the effective and accurate warnings made so that they can be analysed for the better future predictions. According to a journal published by The Weather Channel (US) in 2018, due to the steps opted by NWS, the number of times tornado warnings has decreased from 13 to 14 minutes at the beginning of the decade to around 8 to 9 minutes in the recent years (2017).
Though technological advancements in recent years have improved the efficiency of weather forecasting services, the occurrence of false alarms still poses a challenge to the growth of the weather forecast services market.
The insurance segment accounts for the largest market size during the forecast period
The insurance sector uses weather forecasting services to predict damage from severe events and provide proper communication to customers regarding the expected damage due to severe weather conditions. When policyholders are alerted to an imminent weather event, they can begin taking steps to avoid weather-related damage. Similarly, insurers can use accurate and timely weather data to move resources into place before major weather events. In the current scenario, developing countries' agriculture industry’s profits depend strongly on weather realizations. It is well-known that farmers without access to good insurance markets act conservatively, investing less on their farms and choosing crop mixes and cultivation techniques that reduce the volatility of farm profits at the expense of lower expected profits. Climate change experts and policymakers have long recognized that the insurance industry holds a significant reservoir of needed skills and knowledge. The insurance industry not only possesses in-depth knowledge of extreme weather and its associated risks but also has expertise in weather risk modelling, scenario building, and aligning incentives with desired actions.
The small and medium-sized enterprises segment is projected to grow at the highest CAGR during the forecast period
Largeenterprises and Small & Medium-Sized Enterprises are considered in the organization segment of the market. The emergence of weather forecasting services offers opportunities to SMEs to manage weather-related risks. Several SME-focused companies, government initiatives, and weather forecasters are expected to add to the growth of the weather forecasting services market. As the accuracy of weather forecasts increases, enabled by better technology and tools, the marine industry is tapping into the predictions to optimize productivity and cut risks. XShip (India), a global marine consultancy service provider, has signed up for weather forecasts from The Weather Company (US) to predict the best routes for ships with 95% accuracy.
The short-range forecast type segment accounts for the largest market size during the forecast period
By forecast type,the weather forecasting services market is segmented into nowcast, short-range, medium-range, extended-range, and long-range forecast types. Short-range forecasts are based on weather charts, maps, satellite images, weather balloons, and ground-based information. It is used for weather prediction and other applications like aviation, ship routing, etc. This type of forecast serves its purpose by providing information on the predicted weather for the upcoming few days, providing sufficient time to prepare in the event of a disaster. The most benefitted sectors from short-range forecasting are fisheries and transportation. Knowing weather conditions for up to 48 hours is essential for both these industries to function.
North Americaaccounts for the largest share
North America, Europe, AsiaPacific,Middle East, Latin America,and Africa have been considered for the study of the weather forecasting services market. North Americaaccounts for the largest weather forecasting services market in 2021.Major companies providing weather forecasting services in the North American region include The Weather Company (US), DTN (US), and AccuWeather, Inc. (US). The Weather Company is the key weather solutions provider in this region, followed by AccuWeather. Both companies provide comprehensive weather coverage and support services worldwide.The US has several models but mostly relies on the Global Forecast System (GFS), run by the National Centers for Environmental Prediction, part of the National Oceanic and Atmospheric Administration. The US National Oceanic and Atmospheric Administration (NOAA) has increasingly used machine learning to improve its forecasts. Research and developments are being carried out to implement machine learning in weather forecasting services to improve predictive analysis for high-impact weather like severe thunderstorms, tornadoes, and hurricanes.
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Key Market Players
The Weather Company (US), AccuWeather (US), DTN (US), StormGeo (Norway), Fugro (Netherlands), and ENAV S.p.A. (Italy) are among the major companies in the weather forecasting services market.
Weather Forecasting Services Market Report Scope:
|
Report Metric |
Details |
| Estimated Market | USD 1.7 Billion |
| Revenue Forecast in 2026 | USD 2.7 Billion |
| Growth Rate | 9.9% |
|
Forecast period |
2021-2026 |
|
Market size available for years |
2018-2026 |
|
Base year considered |
2020 |
|
Forecast units |
Value (USD) |
|
Segments covered |
By Industry, Forecast Type, Purpose, Organization Size, and By Region |
|
Geographies covered |
|
|
Companies covered (Weather Forecasting Service Providers) |
The Weather Company (US), AccuWeather, Inc. (US), DTN (US), StormGeo (Norway), Fugro (Netherlands), ENAV S.p.A. (Italy), and BMT Group Ltd. (UK), among others |
This research report categorizes the Weather Forecasting Services Market based on industry, forecasting type, purpose, organization size, and region.
Weather Forecasting Services Market, By Industry
- Agriculture & Forestry
- Aviation
- Marine
- Transport & Logistics
- Energy & Utilities
- Oil & Gas
- Media
- Insurance
- Retail
- Construction & Mining
- Others
By Purpose
- Operational Efficiency
- Safety
- Others
By Forecast Type
- Nowcast
- Short-Range
- Medium-Range
- Extended-Range
- Long-Range
By Organization Size
- Large Enterprises
- Small & Medium-Sized Enterprises
Weather Forecasting Services Market, By Region
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Recent Developments
- In November 2021, An agreement worth USD 125 million was signed between ENAV and the Ministry of Sustainable Infrastructures and Mobility for the implementation of certain projects, including the Piano Nazionale di Ripresa e Resilienza (PNRR – National Recovery and Resilience Plan). It includes air navigation support services, aeronautical information management systems, and drone operational services.
- In November 2021, AirRated, the creator of the global benchmark for indoor air quality (IAQ), announced a three-year partnership with Tomorrow.io, which will provide hyperlocal, real-time weather data to be involved in AirRated's IAQ modeling. AirRated will combine Tomorrow.io’s data with its indoor air quality data to better optimize buildings through a detailed understanding of the outdoor air.
Frequently Asked Questions (FAQs):
What are your views on the growth prospect of the weather forecasting servicesmarket?
The weather forecasting services market is expected to grow substantially owing to the adoption of services in SME Organizations.
Whatkey sustainability strategies are adopted by leading players operating in the weather forecasting services market?
various organic and inorganic strategies to strengthen their position in the weather forecasting services market have been adopted by key players.
What are the major trends in the market?
The growing use of weather forecast devices and services based on meteorological conditions in the aviation and marine industries is a key trend in the worldwide weather forecast services market. Short- and medium-term forecasting services are in high demand in the environmental forecasting.
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 27)
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 STUDY SCOPE
FIGURE 1 WEATHER FORECASTING SERVICES: MARKET SEGMENTATION
1.2.2 REGIONAL SCOPE
1.2.3 YEARS CONSIDERED
1.3 CURRENCY & PRICING
1.3.1 USD EXCHANGE RATES
1.3.2 INCLUSIONS & EXCLUSIONS
1.4 LIMITATIONS
1.5 STAKEHOLDERS
1.6 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 32)
2.1 RESEARCH DATA
FIGURE 2 RESEARCH FLOW
FIGURE 3 RESEARCH DESIGN
2.2 RESEARCH DATA
2.2.1 SECONDARY DATA
2.2.1.1 Key data from secondary sources
2.2.2 PRIMARY DATA
2.2.2.1 Key data from primary sources
2.2.2.2 Insights from industry experts
2.2.2.3 Breakdown of primaries: by company type, designation, and region
TABLE 1 DETAILS OF PRIMARY INTERVIEWEES
2.3 FACTOR ANALYSIS
2.3.1 INTRODUCTION
2.3.2 DEMAND-SIDE ANALYSIS
2.3.2.1 Increasing safety concerns due to climate change
FIGURE 4 CAUSES OF AVIATION ACCIDENTS BETWEEN 1960 AND 2021
TABLE 2 WEATHER-RELATED CRASH STATISTICS OF VEHICLES (ANNUAL AVERAGES)
FIGURE 5 AIRLINE ACCIDENTS PER MILLION DEPARTURES, 2008–2021
2.3.2.2 Increasing international trade
2.3.3 SUPPLY-SIDE ANALYSIS
2.3.3.1 Advancements in weather forecasting technologies
2.4 MARKET-SIZE ESTIMATION
2.4.1 BOTTOM-UP APPROACH
FIGURE 6 MARKET SIZE ESTIMATION: BOTTOM-UP APPROACH
2.4.2 TOP-DOWN APPROACH
FIGURE 7 MARKET SIZE ESTIMATION: TOP-UP APPROACH
2.5 MARKET BREAKDOWN AND DATA TRIANGULATION
FIGURE 8 RESEARCH METHODOLOGY: DATA TRIANGULATION
2.6 GROWTH RATE ASSUMPTIONS
2.7 ASSUMPTIONS
2.7.1 RISK ANALYSIS
3 EXECUTIVE SUMMARY (Page No. - 46)
FIGURE 9 SAFETY PURPOSE SEGMENT ESTIMATED TO REGISTER LARGEST MARKET SHARE IN 2021
FIGURE 10 LARGE ENTERPRISE SEGMENT TO LEAD WEATHER FORECASTING SERVICE MARKET DURING FORECAST PERIOD
FIGURE 11 NORTH AMERICA ACCOUNTED FOR LARGEST SHARE OF WEATHER FORECASTING SERVICES IN 2021
4 PREMIUM INSIGHTS (Page No. - 49)
4.1 ATTRACTIVE OPPORTUNITIES IN WEATHER FORECASTING SERVICES MARKET, 2021–2026
FIGURE 12 INCREASING SAFETY CONCERNS AMONG INDUSTRIES DRIVE ADOPTION OF WEATHER FORECASTING SERVICES
4.2 WEATHER FORECASTING SERVICE MARKET, BY FORECAST TYPE
FIGURE 13 SHORT-RANGE FORECASTING SEGMENT PROJECTED TO LEAD MARKET DURING FORECAST PERIOD
4.3 WEATHER FORECASTING SERVICE MARKET, BY PURPOSE
FIGURE 14 SAFETY SEGMENT EXPECTED TO DOMINATE WEATHER FORECASTING SERVICE MARKET DURING FORECAST PERIOD
4.4 WEATHER FORECASTING SERVICE MARKET, BY COUNTRY
FIGURE 15 INDIA ESTIMATED TO REGISTER HIGHEST CAGR IN WEATHER FORECASTING SERVICE MARKET DURING FORECAST PERIOD
5 MARKET OVERVIEW (Page No. - 51)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 16 WEATHER FORECASTING SERVICES MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
5.2.1 DRIVERS
5.2.1.1 Integration of weather forecasting services by transport and logistics sectors
5.2.1.2 Demand for weather forecasting services in modern-day agriculture
5.2.1.3 Improving safety in airplane operations
FIGURE 17 ACCIDENTS IN AVIATION INDUSTRY BETWEEN 1960 TO 2020
5.2.1.4 Rise in climate-changing patterns resulting in uncertainties related to rainfall
FIGURE 18 GLOBAL TEMPERATURE CHANGES FROM 1900 TO 2021
5.2.1.5 Increase in weather monitoring for disaster management
5.2.2 RESTRAINTS
5.2.2.1 Dynamic nature of atmospheric variables
5.2.2.2 Complexity and lack of specialized weather forecasting models
5.2.3 OPPORTUNITIES
5.2.3.1 Growth of renewable energy sector
FIGURE 19 RENEWABLE ENERGY CAPACITY, BY ENERGY SOURCE
TABLE 3 RENEWABLE ENERGY CAPACITY, BY REGION
5.2.3.2 Increasing computing capabilities by supercomputers
5.2.3.3 Use of high-end radars and satellites for weather monitoring
5.2.3.4 Use of big data analytics in weather forecasting services
5.2.4 CHALLENGES
5.2.4.1 Lack of effective automation
5.2.4.2 Frequent occurrence of false weather alarms
5.2.4.3 Operational challenges for weather forecasting companies due to COVID-19
5.3 RANGES AND SCENARIOS
FIGURE 20 COVID-19 IMPACT ON WEATHER FORECASTING SERVICES MARKET: GLOBAL SCENARIOS
5.4 COVID-19 IMPACT ON WEATHER FORECASTING SERVICE MARKET
FIGURE 21 COVID-19 IMPACT ON WEATHER FORECASTING SERVICE MARKET
5.4.1 DEMAND-SIDE IMPACT
5.4.1.1 Key developments from January 2020 to December 2021
TABLE 4 KEY DEVELOPMENTS IN THE WEATHER FORECASTING SERVICE MARKET 2020-2021
5.4.2 SUPPLY-SIDE IMPACT
5.4.2.1 Key developments from January 2020 to March 2021
TABLE 5 KEY DEVELOPMENTS IN THE WEATHER FORECASTING SERVICE MARKET, JANUARY 2020 TO DECEMBER 2021
5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER'S BUSINESS
5.5.1 REVENUE SHIFT AND NEW REVENUE POCKETS FOR WEATHER FORECASTING SERVICE MARKET
FIGURE 22 REVENUE SHIFT IN WEATHER FORECASTING SERVICE MARKET
5.6 AVERAGE SELLING PRICE ANALYSIS
TABLE 6 PRICING ANALYSIS: WEATHER FORECASTING SERVICES
5.7 OPERATIONAL DATA
TABLE 7 BILLION-DOLLAR CLIMATIC EVENTS AFFECTING US FROM 2018 TO 2021
TABLE 8 SATELLITES LAUNCHED FOR WEATHER FORECASTING AND EARTH OBSERVATION PURPOSES DURING 2020-2021
TABLE 9 NEW COMMERCIAL AIRPLANE DELIVERIES, BY REGION, 2021-2040
5.8 WEATHER FORECASTING SERVICES MARKET ECOSYSTEM
5.8.1 PROMINENT COMPANIES
5.8.2 PRIVATE AND SMALL ENTERPRISES
5.8.3 END USERS
FIGURE 23 WEATHER FORECASTING SERVICE MARKET ECOSYSTEM MAP
TABLE 10 WEATHER FORECASTING SERVICE MARKET ECOSYSTEM
5.9 TECHNOLOGY ANALYSIS
5.9.1 DUAL POLARIZATION RADAR
5.9.2 ADVANCED SATELLITES
5.10 USE CASE ANALYSIS
5.10.1 USE CASE: AUTOMATED WEATHER ANALYSIS USING IMAGE RECOGNITION
5.10.2 USE CASE: DUAL-POLARIZATION TECHNOLOGY
5.10.3 USE CASE: THE WEATHER COMPANY’S GLOBAL HIGH-RESOLUTION ATMOSPHERIC FORECASTING SYSTEM (GRAF)
5.10.4 USE CASE: WEATHER FORECASTING IN CLOUD
5.11 VALUE CHAIN ANALYSIS OF WEATHER FORECASTING SERVICE MARKET
FIGURE 24 VALUE CHAIN ANALYSIS
5.12 PORTER’S FIVE FORCES ANALYSIS
TABLE 11 WEATHER FORECASTING SERVICE MARKET: PORTER’S FIVE FORCE ANALYSIS
FIGURE 25 WEATHER FORECASTING SERVICES MARKET: PORTER’S FIVE FORCE ANALYSIS
5.12.1 THREAT OF NEW ENTRANTS
5.12.2 THREAT OF SUBSTITUTES
5.12.3 BARGAINING POWER OF SUPPLIERS
5.12.4 BARGAINING POWER OF BUYERS
5.12.5 DEGREE OF COMPETITION
5.13 TARIFF AND REGULATORY LANDSCAPE
5.14 TRADE ANALYSIS
TABLE 12 COUNTRY-WISE EXPORTS, 2019-2020 (USD THOUSAND)
TABLE 13 COUNTRY-WISE IMPORTS, 2019-2020 (USD THOUSAND)
TABLE 14 THERMOMETERS & PYROMETERS NOT COMBINED WITH OTHER INSTRUMENTS, COUNTRY-WISE EXPORTS, 2019-2020 (USD THOUSAND)
TABLE 15 THERMOMETERS & PYROMETERS NOT COMBINED WITH OTHER INSTRUMENTS, COUNTRY-WISE IMPORTS, 2019-2020 (USD THOUSAND)
6 INDUSTRY TRENDS (Page No. - 82)
6.1 INTRODUCTION
6.2 TECHNOLOGY TRENDS
6.2.1 DISRUPTIVE TECHNOLOGIES: IOT, AI, AND BIG DATA ANALYTICS
6.2.2 WEATHER DRONES
6.2.3 SUPERCOMPUTERS
6.2.4 COMPUTER MODELS WITH FAST PROCESSORS
6.2.5 EMERGENCE OF NEXT-GENERATION RADAR TECHNOLOGY
6.2.6 BIG WEATHER DATA ANALYSIS
6.2.6.1 Hadoop and MapReduce
6.2.7 INTELLIGENT WEATHER PREDICTING MODULES
6.3 SUPPLY CHAIN ANALYSIS
FIGURE 26 SUPPLY CHAIN ANALYSIS
6.4 NEW WEATHER FORECASTING MODELS
6.4.1 HORIZONTAL WIND MODEL (HWM)
6.4.2 WEATHER INTERACTIVE PROCESSING SYSTEM (AWIPS) II
6.4.3 EVEN NEWER DYNAMICS FOR GENERAL ATMOSPHERIC MODELING (ENDGAME)
6.5 IMPACT OF MEGATRENDS
6.5.1 AUTOMATION
6.5.2 DIGITIZATION
6.6 INNOVATIONS AND PATENT REGISTRATIONS
TABLE 16 INNOVATION & PATENT REGISTRATIONS (2019-2021)
7 WEATHER FORECASTING SERVICES MARKET, BY FORECAST TYPE (Page No. - 91)
7.1 INTRODUCTION
FIGURE 27 NOWCAST SEGMENT PROJECTED TO REGISTER HIGHEST CAGR FROM 2021 TO 2026
TABLE 17 WEATHER FORECASTING RANGES
TABLE 18 WEATHER FORECASTING SERVICES MARKET, BY FORECAST TYPE, 2018–2026 (USD MILLION)
7.2 NOWCAST
7.2.1 ACCURATE PREDICTION OF WEATHER CONDITIONS ~6 HOURS IN ADVANCE DRIVES NOWCAST SEGMENT
7.3 SHORT- RANGE
7.3.1 DEMAND FROM FISHERIES AND TRANSPORTATION TO BOOST SHORT-RANGE SEGMENT
7.4 MEDIUM- RANGE
7.4.1 REQUIREMENT FOR MEDIUM-RANGE FORECAST IN AGRICULTURAL INDUSTRY FUELS MEDIUM-RANGE SEGMENT
7.5 EXTENDED-RANGE
7.5.1 DEMAND FROM RESOURCE MANAGEMENT AND CITY PLANNING SECTORS BOOSTS EXTENDED-RANGE SEGMENT
7.6 LONG-RANGE
7.6.1 INCREASING DEMAND FROM WEATHER-SENSITIVE INDUSTRIES DRIVING GROWTH OF LONG-RANGE SEGMENT
8 WEATHER FORECASTING SERVICES MARKET, BY INDUSTRY (Page No. - 96)
8.1 INTRODUCTION
8.2 COVID-19 IMPACT ON INDUSTRIES
FIGURE 28 INSURANCE INDUSTRY PROJECTED TO LEAD WEATHER FORECASTING SERVICE MARKET DURING FORECAST PERIOD
TABLE 19 WEATHER FORECASTING SERVICE MARKET SIZE, BY INDUSTRY, 2018–2026 (USD MILLION)
8.3 TRANSPORT & LOGISTICS
8.3.1 WEATHER INTELLIGENCE PROVIDES FORECASTING TO TRANSPORT AND LOGISTICS
8.4 MARINE
8.4.1 DEMAND FOR MARINE WEATHER FORECASTING DRIVEN BY NEED TO ANALYZE WEATHER CONDITIONS
8.5 AVIATION
8.5.1 NEED TO ENSURE SAFETY OF AIR PASSENGERS AND FLIGHT CREW
8.6 MEDIA
8.6.1 WEATHER WARNING SYSTEMS HELP IN EFFICIENT HANDLING OF EVENTS
8.7 OIL & GAS
8.7.1 WEATHER FORECASTING SERVICES HELP IN VOYAGE PLANNING
8.8 AGRICULTURE & FORESTRY
8.8.1 WEATHER FORECASTING SERVICES HELP IN MITIGATING RISK IN AGRICULTURE
8.9 INSURANCE
8.9.1 INCREASING NEED FOR WEATHER DATA FOR FUTURE CLAIMS
8.10 RETAIL
8.10.1 WEATHER FORECASTING SERVICES USED TO ANALYZE SALES TRENDS IN RETAIL
8.11 ENERGY & UTILITIES
8.11.1 UPSURGE IN RENEWABLE ENERGY PRODUCTION TO DRIVE DEMAND
8.12 CONSTRUCTION & MINING
8.12.1 EFFECTIVE PLANNING CAN HELP MITIGATE WEATHER RISKS
8.13 OTHERS
9 WEATHER FORECASTING SERVICES MARKET, BY PURPOSE (Page No. - 106)
9.1 INTRODUCTIONC
FIGURE 29 SAFETY SEGMENT EXPECTED TO DOMINATE WEATHER FORECASTING SERVICES MARKET FROM 2021 TO 2026
TABLE 20 WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
9.2 SAFETY
9.2.1 WEATHER SAFETY PLAYS A MAJOR ROLE IN ELIMINATING FATALITY RISKS AT MANUFACTURING SITES
9.3 OPERATIONAL EFFICIENCY
9.3.1 FORECAST INFORMATION ENABLES EFFICIENT DAY-TO-DAY PLANNING AND INFORMED DECISION-MAKING
9.4 OTHERS
10 WEATHER FORECASTING SERVICES MARKET, BY ORGANIZATION SIZE (Page No. - 110)
10.1 INTRODUCTION
FIGURE 30 SMALL & MEDIUM-SIZED ENTERPRISES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
TABLE 21 WEATHER FORECASTING SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2018–2026 (USD MILLION)
10.2 LARGE ENTERPRISES
10.2.1 DEPENDENCE OF LARGE ENTERPRISES ON WEATHER FORECASTING SERVICES TO IMPROVE BUSINESS DECISIONS
10.3 SMALL & MEDIUM-SIZED ENTERPRISES
10.3.1 ENSURES RISK MANAGEMENT IN SMALL & MEDIUM-SIZED ENTERPRISES
11 WEATHER DATA SERVICES MARKET (Page No. - 113)
11.1 INTRODUCTION
11.2 DRIVERS AND OPPORTUNITIES FOR WEATHER DATA SERVICES MARKET
11.3 TECHNOLOGY ANALYSIS
11.3.1 INTEGRATION OF BIG DATA ANALYTICS IN WEATHER DATA
11.3.2 INCORPORATION OF WEATHER DATA INTO INTERNET OF THINGS (IOT)
11.3.3 CLOUD COMPUTING IN WEATHER DATA
11.3.4 HIGH-PERFORMANCE COMPUTING FOR WEATHER DATA
11.4 USE CASES ON WEATHER DATA SERVICES MARKET
11.4.1 PRECISION AGRICULTURE USES CLIMACELL WEATHER DATA
11.4.2 UBER USES CLIMACELL WEATHER DATA FOR WEATHER-RELATED INSIGHTS
11.5 WEATHER DATA SERVICES MARKET, BY DATA TYPE
11.5.1 REAL-TIME DATA
11.5.2 FORECAST DATA
11.5.3 HISTORICAL DATA
11.6 WEATHER DATA SERVICE PROVIDER
11.6.1 OPENWEATHERMAP
TABLE 22 PRICING ANALYSIS OF OPEN WEATHER MAP
11.6.2 ACCUWEATHER, INC
11.6.3 CLIMACELL
11.6.4 UNDERSTORY
11.6.5 METEOMATICS
11.6.6 WEATHER UNDERGROUND
11.6.7 WEATHERSTACK
11.7 MNM VIEW ON WEATHER DATA SERVICES MARKET
12 DIRECT-TO-CONSUMER WEATHER FORECASTING SERVICES MARKET (Page No. - 118)
12.1 INTRODUCTION
12.1.1 MARINE
12.1.1.1 Demand for marine weather forecasting driven by need to analyze weather conditions
FIGURE 31 RECREATIONAL BOATING VESSELS (MILLIONS), US
TABLE 23 KEY WEATHER FORECASTING SERVICE PROVIDERS: MARINE
12.1.2 PRIVATE AIRCRAFT OWNERS
12.1.2.1 Need to ensure flight crew safety to drive demand
TABLE 24 KEY WEATHER FORECASTING SERVICE PROVIDERS: PRIVATE AIRCRAFT OWNERS
12.1.3 FARMERS
12.1.3.1 Weather forecasting services help in mitigating farming risks
TABLE 25 KEY WEATHER FORECASTING SERVICE PROVIDERS: FARMERS
12.1.4 GENERAL CONSUMERS
TABLE 26 WEATHER FORECASTING SERVICE PROVIDERS: GENERAL CONSUMERS
12.2 MEDIUM USED TO PROVIDE DIRECT-TO-CONSUMER WEATHER FORECASTING SERVICES
12.2.1 MEDIA
12.2.2 WEB-BASED
12.2.2.1 Application-based
12.3 REVENUE STREAMS IN DIRECT-TO-CONSUMER WEATHER FORECASTING MARKET
12.3.1 SUBSCRIPTION
12.3.2 PAY-PER-USE
12.3.3 AD-BASED
12.4 WEATHER FORECASTING SERVICE PROVIDERS
TABLE 27 WEATHER FORECASTING SERVICE PROVIDERS
12.5 KEY DEVELOPMENTS
TABLE 28 KEY DEVELOPMENTS BY LEADING PLAYERS IN DIRECT-TO-CONSUMER WEATHER FORECASTING SERVICES MARKET BETWEEN 2020 AND 2021
13 REGIONAL ANALYSIS (Page No. - 136)
13.1 INTRODUCTION
FIGURE 32 NORTH AMERICA ACCOUNTED FOR LARGEST SHARE OF WEATHER FORECASTING SERVICES IN 2021
TABLE 29 WEATHER FORECASTING SERVICES MARKET, BY REGION, 2018–2026 (USD MILLION)
13.2 NORTH AMERICA
13.2.1 COVID-19 IMPACT ON NORTH AMERICA
13.2.2 PESTLE ANALYSIS: NORTH AMERICA
FIGURE 33 NORTH AMERICA: WEATHER FORECASTING SERVICE MARKET SNAPSHOT
TABLE 30 NORTH AMERICA: WEATHER FORECASTING SERVICES MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 31 NORTH AMERICA: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
TABLE 32 NORTH AMERICA: WEATHER FORECASTING SERVICE MARKET, BY FORECAST TYPE, 2018–2026 (USD MILLION)
TABLE 33 NORTH AMERICA: WEATHER FORECASTING SERVICE MARKET, BY ORGANIZATION SIZE, 2018–2026 (USD MILLION)
TABLE 34 NORTH AMERICA: WEATHER FORECASTING SERVICE MARKET, BY COUNTRY, 2018–2026 (USD MILLION)
13.2.3 US
13.2.3.1 Implementation of high-performance systems by US weather forecasting service companies will drive the market
TABLE 35 US: WEATHER FORECASTING SERVICES MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 36 US: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.2.4 CANADA
13.2.4.1 Presence of leading players and developments undertaken by them fuel market growth
TABLE 37 CANADA: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 38 CANADA: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.3 EUROPE
13.3.1 COVID-19 IMPACT ON EUROPE
13.3.2 PESTLE ANALYSIS: EUROPE
FIGURE 34 EUROPE: WEATHER FORECASTING SERVICE MARKET SNAPSHOT
TABLE 39 EUROPE: WEATHER FORECASTING SERVICES MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 40 EUROPE: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
TABLE 41 EUROPE: WEATHER FORECASTING SERVICE MARKET, BY FORECAST TYPE, 2018–2026 (USD MILLION)
TABLE 42 EUROPE: WEATHER FORECASTING SERVICE MARKET, BY ORGANIZATION SIZE, 2018–2026 (USD MILLION)
TABLE 43 EUROPE: WEATHER FORECASTING SERVICE MARKET, BY COUNTRY, 2018–2026 (USD MILLION)
13.3.3 UK
13.3.3.1 Development of next-generation weather forecasting models will drive the market
TABLE 44 UK: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 45 UK: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.3.4 GERMANY
13.3.4.1 Development of forecasting solutions to enhance power generation from renewable sources will drive the market
TABLE 46 GERMANY: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 47 GERMANY: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.3.5 FRANCE
13.3.5.1 Increasing investments in advanced weather forecasting service technologies fuel market growth
TABLE 48 FRANCE: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 49 FRANCE: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.3.6 ITALY
13.3.6.1 Italy supports development of advanced weather prediction technologies that will drive the market
TABLE 50 ITALY: WEATHER FORECASTING SERVICES MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 51 ITALY: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.3.7 RUSSIA
13.3.7.1 Expanding meteorology techniques with hydrometeorology will drive the market
TABLE 52 RUSSIA: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 53 RUSSIA: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.3.8 REST OF EUROPE
TABLE 54 REST OF EUROPE: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 55 REST OF EUROPE: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.4 ASIA PACIFIC
13.4.1 IMPACT OF COVID-19 IN ASIA PACIFIC
13.4.2 PESTLE ANALYSIS: ASIA PACIFIC
FIGURE 35 ASIA PACIFIC WEATHER FORECASTING SERVICES MARKET SNAPSHOT
TABLE 56 ASIA PACIFIC: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 57 ASIA PACIFIC: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
TABLE 58 ASIA PACIFIC: WEATHER FORECASTING SERVICE MARKET, BY FORECAST TYPE, 2018–2026 (USD MILLION)
TABLE 59 ASIA PACIFIC: WEATHER FORECASTING SERVICE MARKET, BY ORGANIZATION SIZE, 2018–2026 (USD MILLION)
TABLE 60 ASIA PACIFIC: WEATHER FORECASTING SERVICE MARKET, BY COUNTRY, 2018–2026 (USD MILLION)
13.4.3 CHINA
13.4.3.1 Advancements in conventional weather forecasting methods fuel the market
TABLE 61 CHINA: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 62 CHINA: WEATHER FORECASTING SERVICES MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.4.4 JAPAN
13.4.4.1 Rise in the use of advanced weather forecasting services across industries drive the market
TABLE 63 JAPAN: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 64 JAPAN: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.4.5 INDIA
13.4.5.1 Increased applications of weather forecasting services in agriculture sector drive the market
TABLE 65 INDIA: WEATHER FORECASTING SERVICES MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 66 INDIA: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.4.6 AUSTRALIA
13.4.6.1 Efforts to improve numerical weather prediction and next-generation satellites drive the market
TABLE 67 AUSTRALIA: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 68 AUSTRALIA: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.4.7 SOUTH KOREA
13.4.7.1 Increasing number of weather observation stations reporting to global telecommunication networks boost the market
TABLE 69 SOUTH KOREA: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 70 SOUTH KOREA: WEATHER FORECASTING SERVICE MARKET SIZE, BY PURPOSE, 2018–2026 (USD MILLION)
13.4.8 REST OF ASIA PACIFIC
TABLE 71 REST OF ASIA PACIFIC: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 72 REST OF ASIA PACIFIC: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.5 MIDDLE EAST & AFRICA
13.5.1 IMPACT OF COVID-19 IN MIDDLE EAST
13.5.2 PESTLE ANALYSIS: MIDDLE EAST & AFRICA
FIGURE 36 MIDDLE EAST & AFRICA WEATHER FORECASTING SERVICES MARKET SNAPSHOT
TABLE 73 MIDDLE EAST & AFRICA WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 74 MIDDLE EAST & AFRICA: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
TABLE 75 MIDDLE EAST & AFRICA: WEATHER FORECASTING SERVICE MARKET, BY FORECAST TYPE, 2018–2026 (USD MILLION)
TABLE 76 MIDDLE EAST & AFRICA: WEATHER FORECASTING SERVICE MARKET, BY ORGANIZATION SIZE, 2018–2026 (USD MILLION)
TABLE 77 MIDDLE EAST & AFRICA: WEATHER FORECASTING SERVICE MARKET, BY COUNTRY, 2018–2026 (USD MILLION)
13.5.3 SAUDI ARABIA
13.5.3.1 Development of advanced weather research and forecasting (WRF) modeling system boost the market
TABLE 78 SAUDI ARABIA: WEATHER FORECASTING SERVICES MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 79 SAUDI ARABIA: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.5.4 ISRAEL
13.5.4.1 Incorporation of latest technologies in modeling weather forecasting drive the market
TABLE 80 ISRAEL: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 81 ISRAEL: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.5.5 TURKEY
13.5.5.1 Increasing demand for weather forecasting services from marine, renewables, and oil & gas companies drive the market
TABLE 82 TURKEY: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 83 TURKEY: WEATHER FORECASTING SERVICES MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.5.6 SOUTH AFRICA
13.5.6.1 Increased use of weather forecasting services across industries boost the market
TABLE 84 SOUTH AFRICA: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 85 SOUTH AFRICA: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.5.7 REST OF MIDDLE EAST & AFRICA
TABLE 86 REST OF MIDDLE EAST & AFRICA: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 87 REST OF MIDDLE EAST & AFRICA: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.6 LATIN AMERICA
13.6.1 IMPACT OF COVID-19 IN LATIN AMERICA
13.6.2 PESTLE ANALYSIS: LATIN AMERICA
FIGURE 37 LATIN AMERICA: WEATHER FORECASTING SERVICES MARKET SNAPSHOT
TABLE 88 LATIN AMERICA WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 89 LATIN AMERICA: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
TABLE 90 LATIN AMERICA: WEATHER FORECASTING SERVICE MARKET, BY FORECAST TYPE, 2018–2026 (USD MILLION)
TABLE 91 LATIN AMERICA: WEATHER FORECASTING SERVICE MARKET, BY ORGANIZATION SIZE, 2018–2026 (USD MILLION)
TABLE 92 LATIN AMERICA: WEATHER FORECASTING SERVICE MARKET, BY COUNTRY, 2018–2026 (USD MILLION)
13.6.3 BRAZIL
13.6.3.1 Increased investments in improving forecasting infrastructure will drive the market
TABLE 93 BRAZIL: WEATHER FORECASTING SERVICES MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 94 BRAZIL: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
13.6.4 MEXICO
13.6.4.1 Focus on strengthening forecasting capabilities to mitigate effects of natural disasters drive the market
TABLE 95 MEXICO: WEATHER FORECASTING SERVICE MARKET, BY INDUSTRY, 2018–2026 (USD MILLION)
TABLE 96 MEXICO: WEATHER FORECASTING SERVICE MARKET, BY PURPOSE, 2018–2026 (USD MILLION)
14 COMPETITIVE LANDSCAPE (Page No. - 184)
14.1 INTRODUCTION
TABLE 97 KEY DEVELOPMENTS BY LEADING PLAYERS IN WEATHER FORECASTING SERVICES MARKET BETWEEN 2018 AND 2021
14.2 MARKET RANKING ANALYSIS OF KEY PLAYERS, 2020
FIGURE 38 REVENUE ANALYSIS FOR KEY COMPANIES IN PAST 5 YEARS
14.3 MARKET SHARE ANALYSIS
FIGURE 39 MARKETS SHARE ANALYSIS-2021
TABLE 98 WEATHER FORECASTING SERVICE MARKET: DEGREE OF COMPETITION
14.4 COMPETITIVE BENCHMARKING
TABLE 99 COMPETITIVE BENCHMARKING
TABLE 100 COMPANY ORGANIZATION FOOTPRINT
TABLE 101 COMPANY APPLICATIONS FOOTPRINT
TABLE 102 COMPANY REGION FOOTPRINT
14.5 COMPANY EVALUATION QUADRANT
14.5.1 WEATHER FORECASTING SERVICES MARKET COMPETITIVE LEADERSHIP MAPPING
14.5.1.1 Star
14.5.1.2 Emerging leader
14.5.1.3 Pervasive
14.5.1.4 Participant
FIGURE 40 WEATHER FORECASTING SERVICE MARKET (GLOBAL) COMPANY EVALUATION MATRIX, 2020
14.5.2 WEATHER FORECASTING SERVICE MARKET COMPETITIVE LEADERSHIP MAPPING (SME)
14.5.2.1 Progressive company
14.5.2.2 Responsive company
14.5.2.3 Starting block
14.5.2.4 Dynamic company
FIGURE 41 WEATHER FORECASTING SERVICES MARKET (SME) COMPETITIVE LEADERSHIP MAPPING, 2020
14.6 COMPETITIVE SCENARIO AND TRENDS
14.6.1 MARKET EVALUATION FRAMEWORK
14.6.2 NEW PRODUCT LAUNCHES AND DEVELOPMENTS
TABLE 103 NEW PRODUCT LAUNCHES AND DEVELOPMENTS, 2018-2021
14.6.3 DEALS
TABLE 104 WEATHER FORECASTING SERVICE MARKET: DEALS, 2018–2021
15 COMPANY PROFILES (Page No. - 213)
(Business Overview, Products Offered, Recent Developments, MnM View Right to win, Strategic choices made, Weaknesses and competitive threats) *
15.1 INTRODUCTION
15.2 KEY PLAYERS
15.2.1 THE WEATHER COMPANY
TABLE 105 THE WEATHER COMPANY: BUSINESS OVERVIEW
15.2.2 ACCUWEATHER INC.
TABLE 106 ACCUWEATHER INC.: BUSINESS OVERVIEW
15.2.3 FUGRO
TABLE 107 FUGRO: BUSINESS OVERVIEW
FIGURE 42 FUGRO: COMPANY SNAPSHOT
TABLE 108 FUGRO: PRODUCT LAUNCHES
TABLE 109 FUGRO: DEALS
15.2.4 DTN
TABLE 110 DTN: BUSINESS OVERVIEW
TABLE 111 DTN: PRODUCT LAUNCHES
TABLE 112 DTN: DEALS
15.2.5 STORMGEO
TABLE 113 STORMGEO: BUSINESS OVERVIEW
TABLE 114 STORMGEO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 115 STORMGEO: PRODUCT LAUNCHES
TABLE 116 STORMGEO: DEALS
15.2.6 BMT GROUP LTD.
TABLE 117 BMT GROUP LTD.: BUSINESS OVERVIEW
TABLE 118 BMT GROUP LTD.: PRODUCT LAUNCHES
TABLE 119 BMT GROUP LTD. INC.: DEALS
15.2.7 ENAV S.P.A.
TABLE 120 ENAV S.P.A.: BUSINESS OVERVIEW
FIGURE 43 ENAV SPA: COMPANY SNAPSHOT
TABLE 121 ENAV S.P.A.: DEALS
15.2.8 PRECISION WEATHER
TABLE 122 PRECISION WEATHER: BUSINESS OVERVIEW
15.2.9 TOMORROW.IO
TABLE 123 TOMORROW.IO: BUSINESS OVERVIEW
TABLE 124 TOMORROW.IO: DEALS
15.2.10 GLOBAL WEATHER CORPORATION
TABLE 125 GLOBAL WEATHER CORPORATION: BUSINESS OVERVIEW
TABLE 126 GLOBAL WEATHER CORPORATION: DEALS
15.2.11 MET OFFICE
TABLE 127 MET OFFICE: BUSINESS OVERVIEW
15.2.12 SKYVIEW SYSTEMS LTD.
TABLE 128 SKYVIEW SYSTEMS LTD.: BUSINESS OVERVIEW
TABLE 129 SKYVIEW SYSTEMS LTD.: DEALS
15.2.13 SPEEDWELL WEATHER LTD.
TABLE 130 SPEEDWELL WEATHER LTD.: BUSINESS OVERVIEW
15.2.14 CUSTOMWEATHER
TABLE 131 CUSTOMWEATHER: BUSINESS OVERVIEW
TABLE 132 CUSTOMWEATHER INC.: PRODUCT LAUNCHES
TABLE 133 CUSTOMWEATHER.: DEALS
15.2.15 WEATHER ROUTING INC.
TABLE 134 WEATHER ROUTING: BUSINESS OVERVIEW
TABLE 135 WEATHER ROUTING: PRODUCTS/SOLUTIONS/SERVICES OFFERED
15.2.16 EARTH NETWORKS
TABLE 136 EARTH NETWORKS: BUSINESS OVERVIEW
TABLE 137 EARTH NETWORKS: PRODUCT LAUNCHES
TABLE 138 EARTH NETWORKS: DEALS
15.2.17 JUPITER INTELLIGENCE
TABLE 139 JUPITER INTELLIGENCE: BUSINESS OVERVIEW
TABLE 140 JUPITER INTELLIGENCE: PRODUCT LAUNCHES
TABLE 141 JUPITER INTELLIGENCE: DEALS
15.2.18 METEOSIM
TABLE 142 METEOSIM: BUSINESS OVERVIEW
TABLE 143 METEOSIM: PRODUCT LAUNCHES
15.3 OTHER PLAYERS
15.3.1 UNDERSTORY
15.3.2 TEMPOQUEST
15.3.3 UBIMET GMBH
15.3.4 WEATHERBELL ANALYTICS LLC
15.3.5 SAILDRONE
15.3.6 SKYMET WEATHER SERVICES PVT.LTD.
15.3.7 METEOLOGIC
*Details on Business Overview, Products Offered, Recent Developments, MnM View, Right to win, Strategic choices made, Weaknesses and competitive threats might not be captured in case of unlisted companies.
16 APPENDIX (Page No. - 271)
16.1 DISCUSSION GUIDE
16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
16.3 AVAILABLE CUSTOMIZATIONS
16.4 RELATED REPORTS
16.5 AUTHOR DETAILS
The research study conducted on the Weather Forecasting Services market involved extensive use of secondary sources, directories, and databases such as Hoovers, Bloomberg Businessweek, and Factiva to identify and collect information relevant to the weather forecasting services market. The primary sources considered included industry experts from the weather forecasting services market as well as sub-component manufacturers, weather service providers, government agencies, technology vendors, system integrators, research organizations, and original equipment manufacturers related to all segments of the value chain of this industry. In-depth interviews with various primary respondents, including key industry participants, Subject Matter Experts (SMEs), industry consultants, and C-level executives, have been conducted to obtain and verify critical qualitative and quantitative information pertaining to the weather forecasting services market as well as to assess the growth prospects of the market.
Secondary Research
Secondary sources referred for this research study included world trade organization, organization of petroleum exporting countries (OPEC), us energy information administration, world bank database, world meteorological organization, corporate filings (such as annual reports, investor presentations, and financial statements); US Energy Information Administration (EIA), and trade, business, and professional associations. Secondary data was collected and analyzed to arrive at the overall market size, which was further validated by primary respondents.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the size of the weather forecasting services market. The following figure offers a representation of the overall market size estimation process employed for the purpose of this study on the weather forecasting services market.
The research methodology used to estimate the market size includes the following details:
- Key players in this market were identified through secondary research, and their market share was determined through primary and secondary research. This included a study of the annual and financial reports of top market players and extensive interviews of leaders such as Chief Executive Officers (CEOs), directors, and marketing executives of leading companies operating in the weather forecasting services market.
- All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources.
- All possible parameters that affect the markets covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data.
Market size estimation methodology: Bottom-up approach
Data Triangulation
After arriving at the overall market size through the weather forecasting services market size estimation process explained above, the total market was split into several segments and subsegments. In order to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegments, the data triangulation and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand- and supply-sides. Along with this, the market size was validated using both the top-down and bottom-up approaches.
Report Objectives
- To define, describe, segment, and forecast the weather forecasting services market based on industry, purpose, forecasting type, organization size and region
- To forecast the weather forecasting services market based on five regions, such as North America, Europe, Asia Pacific, the Middle East, Latin America and Africa, along with the major countries in each region
- To identify and analyze key drivers, restraints, opportunities, and challenges influencing the growth of the weather forecasting services market
- To strategically analyze emerging technological trends and prospects in the weather forecasting services market
- To analyze micromarkets1 of the weather forecasting services market in terms of the technological trends and prospects
- To profile the key players and comprehensively analyze their market rankings and core competencies2
- To analyze the impact of the COVID-19 pandemic on the weather forecasting services market and the various stakeholders in the market
- To provide a detailed competitive landscape of the weather forecasting services market, along with an analysis of business and corporate strategies to track and analyze competitive developments, such as joint ventures, mergers & acquisitions, and new product launches & developments adopted by key market players
Available Customizations
Along with the market data, MarketsandMarkets offers customizations as per the specific needs of companies. The following customization options are available for the report:
Product Analysis
- Product matrix, which gives a detailed comparison of the product portfolio of each company
Regional Analysis
- Further breakdown of the market segments at country-level
Company Information
- Detailed analysis and profiling of additional market players (up to 5)
Growth opportunities and latent adjacency in Weather Forecasting Services Market
Hi, Required Sample, Doing some market sizing/research for strategy development.
Weather Market Industry, Consumer Behavior analysis data required
Looking for a list of competitors in the Weather Forecasting industry to receive an RFI.
I am looking for an analysis of the major weather forecasting companies, such as The Weather Company, Accuweather, and DTN. Is it included in the revenue by each market, industry, and region? Who are the major customers for each company?