Weather Forecasting Systems Market by Vertical (Agriculture, Aviation, Transportation & Logistics, Oil & Gas, Marine, Renewable Energy, Meteorology, Weather Service Providers), Application, Solution, Forecast Type and Region (2021-2026)
[248 Pages Report] The weather forecasting systems market is projected to grow from USD 2.7 billion in 2021 to USD 3.5 billion by 2026, at a CAGR of 5.1% in value from 2021 to 2026. Weather forecasting systems (WFS) are designed to carry out atmospheric research and operational weather forecasting by obtaining quantitative data about the current state of the atmosphere, land, and oceans and then using meteorology to project how the atmosphere will change at a certain location. Weather forecasting systems assist businesses in precisely assessing weather conditions and planning weather-sensitive operations to safeguard safety. Weather forecasting systems also play a vital role in reducing maintenance and operational expenses.
Weather forecasting has always been extremely challenging, given the number of variables such as pressure, density, and temperature and the complex interactions between those variables. There has been a drastic increase in the ability to gather and process data, greatly enhancing the ability of weather forecasters to pinpoint the timing and severity of hurricanes, floods, snowstorms, and other weather events. Big data analytics plays an important role in processing weather data to provide timely information and helps forecast accurate weather information. In recent years, weather forecasting technologies have gone through technological advancements, including the application of computers for numerical weather prediction methods and automation in trend forecasting. For instance, IBM’s Deep Thunder is one of the big data applications in weather forecasting. Deep Thunder provides forecasts for extremely specific locations, such as a single airport, so that local authorities can get critically vital information in real-time. Drones are also being used to collect weather data in remote areas. Technological advancements have provided significant growth opportunities for weather forecasting service providers over the last few decades.
Weather forecasting systems include hardware and software solutions designed to carry out atmospheric research and operational weather forecasting. The weather forecasting process begins with an understanding of the area's physical environment for which forecasts are being prepared, followed by determining the climatology of the given area. It includes information regarding average cloud cover and days of gales, blowing snow, and fog, among others. This information helps in the formation of short-term weather forecasts by taking into consideration seasonal and diurnal weather patterns. Short-term weather forecasting generally depends on the information obtained for a particular period in the entire lifecycle of a weather phenomenon. This analysis helps make medium and long-term weather forecasts by considering the abovementioned climatology factors responsible for climate change. The demand for analytical solutions that use disruptive technologies such as big data, AI, supercomputing, etc., is higher than for hardware. These technologies analyze the data collected by tools such as barometers, radars, thermometers, etc.
The weather forecasting systems market refers to the overall market across sectors such as military, aviation, energy, transportation & logistics, weather service providers, meteorology, marine, and others. The rising demand for precise weather forecasts to carry out onshore operations, the rising demand for effective air traffic control at airports, and the rising demand for innovative numerical weather prediction models are the primary factors expected to drive the global weather forecasting systems & solutions market. Furthermore, governments of various countries and private agencies have been investing heavily in advancing advanced and efficient weather forecasting systems to provide warnings for storms or cyclones to ensure public safety, strengthening the market globally. The increase in demand for weather forecasting using big data analytics, along with climate change and uncertainties related to rainfall, are factors expected to fuel the growth of the market across the globe. However, complexities involved in weather forecasting processes and forecast-related uncertainties are expected to restrain the market's growth during the forecast period.
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Weather Forecasting Systems Market Dynamics:
Driver: Upsurge in the production of renewable energy
Over the last decade, renewable energy has gained importance as governments worldwide have begun to accept that burning fossil fuel rapidly modifies the Earth’s atmosphere, leading to climate change. To reduce the release of carbon dioxide into the environment, governments offer grants, tax incentives, and other programs designed to support renewable energy development. Renewable energy projects almost always help emerging economies become more independent as they are usually located close to where the energy will be consumed. This decreases their environmental impact and fuel cost and gives governments incentives to reduce dependency on fuel imports. Renewable energy will likely grow rapidly over the next decade as relevant technologies become more efficient and cost-competitive.
Renewable energy generation, especially wind and solar power, is variable due to its dependency on the weather. The most critical scheduling input comes from companies providing weather forecasting systems. Without accurate weather predictions, renewable generators cannot submit accurate schedules. Based on modeling, historical data, machine learning, and weather forecasting, generators must predict their demand and generation for the next day. The need for accurate weather forecasts to improve the generation of renewable energy is expected to continue during the forecast period, thus driving the market for weather forecasting systems
Restraint: Complexity of weather forecasting models
Weather conditions frequently change, forcing forecast models to use current atmospheric and oceanic conditions to predict future weather. A weather forecast considers humidity, temperature, air pressure, wind speed, direction, and cloud cover. Weather forecasting models also consider geographic location, proximity to water sources, urban structures, and latitude and elevation. Although accurate predictions can be made based on a thorough understanding of the initial conditions of a weather forecasting numerical model, weather conditions can be dynamic and sensitive due to numerous variables. The process of weather forecasting becomes complex due to the intrinsic nonlinearity of weather forecast models. Also, the proper integration and analysis of a huge amount of data make the process even more complex. Long-scale weather patterns can be derived with greater accuracy, but there is no proper way to conduct an accurate weather analysis in the short term. This is expected to restrain the market's growth, as the entire weather forecasting process entails various functions that must be considered to arrive at an accurate analysis.
Opportunity: Increasing computing capabilities of supercomputers for weather forecasting
Weather forecasting centers use complex and energy-intensive infrastructure. Environment observation data is a part of big data and has registered exponential growth in the last few years. Thus, weather forecasting centers are expected to provide integrated solutions that not only address the computing requirements of weather forecasters but also enable data movement and management, along with the ownership of the total cost involved in these processes.
The enhancement of the computational capabilities of supercomputers is expected to support the execution of high-resolution weather forecasts and models of the Earth’s climate, resulting in highly accurate weather forecasts. Furthermore, simulation-based approaches and advanced software models enable weather forecasters to understand weather trends better. Since weather forecasting is augmented with data-driven models for predictive modeling and knowledge discovery, simulation-based approaches, coupled with the computational capabilities of supercomputers, ensure highly accurate weather forecasts. Therefore, the enhancement of the computing capabilities of supercomputers is expected to act as a growth opportunity for the weather forecasting systems market.
Challenge: Frequent occurrence of false weather alarms
False alarms or a high False Alarm Ratio (FAR) could stymie the growth of the weather forecasting services market. A false alarm occurs when a warning for a natural disaster is expected to ensure that necessary precautions are taken prior to its occurrence. However, three out of every four alarms are false. When a hazard, such as a tornado, is expected, a weather alert is issued to take necessary precautions. However, roughly 70% of tornado warnings in the United States are false alarms, meaning that only three of every ten tornado alarms have been genuine. Too many false alarms can have a psychological impact, leading to people ignoring true alarms. The National Weather Service (NWS) has taken steps to address the issue of false alarms. In 2015, the NWS launched the Tornado Warning Improvement Process, encouraging NWS offices to share local insights into effective and accurate warnings and analyze them for better future predictions. According to a journal published by The Weather Channel (US) in 2018, the number of tornado warnings has decreased from 13 to 14 minutes at the beginning of the decade to around 8 to 9 minutes in recent years as a result of the steps taken by the NWS (2017).
Based on application, the weather satellites segment is the largest weather forecasting systems market in 2021. Weather stations collect information related to the weather and environment of specific places and analyze the data made available by different sensors. These can be personal weather stations, professional weather stations, or home weather stations, among others. This segment is projected to grow from USD 501 million in 2021 to USD 636 million by 2026 at a CAGR of 4.9% during the forecast period.This growth can be attributed to the increase in the number of weather stations set up by government agencies across the world.
Based on vertical, the Other segment is projected to grow at the highest CAGR during the forecasted period. Other verticals include media & entertainment, private users, telecommunications, and insurance. Weather forecasting systems help the vertical telecommunications plan effectively for storms and deploying crew. The telecom grid is vulnerable to damage from natural disasters, and accurate weather predictions help telecom operators mitigate the potential risk to their infrastructure. The network’s grid resilience is significantly important as climate change increases the frequency and intensity of severe weather. Thus, the need for weather forecasting for effective planning and decision-making is expected to fuel the growth of this segment.
Based on the solution, the hardware segment is estimated to account for a larger market share in 2021. It is projected to grow from USD 1,771 million in 2021 to USD 2,266 million by 2026, at a CAGR of 5.0% during the forecast period. Despite the high cost of hardware used in weather forecast systems, it is widely deployed in every major meteorology and government weather forecasting agency worldwide. Hence, the market share of this segment is larger than that of software. The hardware used in weather forecasting systems involves integrating several systems that accurately sense and predict weather conditions. Software is also a vital component in weather forecasting systems & solutions and is used to generate weather forecast graphs, predict the weather, and enable communication with data loggers.
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The Asia Pacific region is projected to Grow at the highest CAGR during the forecast period
The Asia Pacific weather forecasting systems market has been analyzed for China, India, Japan, South Korea, Australia, and the rest of Asia Pacific. Natural disasters are common in the Asia Pacific region. As a result, various meteorological agencies, including the Japan Meteorological Agency (Japan), the China Meteorological Administration (China), the India Meteorological Department (India), and the Bureau of Meteorology (Australia), have been working hard to improve their weather forecasting systems in order to predict better and manage natural disasters. The Asia Pacific weather forecasting systems market is expected to grow during the forecast period due to increased demand for telecommunication and mobile broadband services. WFS technological advancements have developed advanced forecasting equipment with improved designs and functionalities and enhanced integration capabilities. The Asia Pacific region is a lucrative market for domestic and regional forecasting equipment manufacturers.
The Europe region held the major share of the weather forecasting systems market in 2021
The agriculture industry in some European countries is facing major challenges such as scarcity of water resources, rise in operational costs due to the formulation and implementation of various environmental protection policies, and changes in climate and related physical factors. Accurate and precise weather predictions are imperative to protect agricultural yield from extreme weather conditions. Private companies such as RMets Royal Meteorological Society (UK) and MeteoGroup (Netherlands) are investing in R&D activities to develop new and advanced weather forecasting systems. This, in turn, is expected to fuel the demand for these systems in the European region.
Key Market Players
Some of the major players in the weather forecasting systems market are The Weather Company (US), AccuWeather Inc. (US), DTN (US), Vaisala Oyj (Finland), and StormGeo (Norway). These players have adopted various growth strategies such as contracts, joint ventures, partnerships & agreements, acquisitions, and new product launches to expand their presence in the weather forecasting systems market.
The Weather Company
The Weather Company is a leading provider of weather forecasting and information technology. It is a subsidiary of IBM's Watson & Cloud Platform business unit (since 2016). The Weather Company provides data, technology platforms, and services to the world's largest aviation, energy, insurance, media, and government businesses to enhance decision-making and adapt to the weather's influence on business. The company provides solutions and services for weather technology, weather data, broadcast technology, agriculture data, energy data, aviation technology, and retail data. Weather's API, business solutions section, and digital products from The Weather Channel (weather.com) and Weather Underground provide accurately, tailored, and actionable weather data and insights to people and organizations.
Vaisala Oyj
Vaisala is a company that develops and markets electronic measurement systems and equipment. Air quality monitoring and prediction, food technology and agriculture, life sciences, meteorology and hydrology, power industry, renewable energy, and transportation by air, land, and sea are all items offered by the company. Customers served by the company include meteorological institutes, road transportation agencies, airports, and armed forces. Vaisala released the Vaisala AWS810 Automatic Weather Station in October 2021 to assist cities throughout the world in keeping their inhabitants safe and secure. The Vaisala AWS810 Automatic Weather Station is a comprehensive measurement, communication, and data monitoring system that simplifies the construction, administration, and maintenance of modern observation networks throughout time.
AccuWeather Inc.
AccuWeather, Inc. offers commercial weather forecasting services across the world, including the national weather channel. Furthermore, it provides a diverse variety of highly tailored enterprise solutions to media, business, government, and institutions, as well as news and weather content. AccuWeather, Inc. also offers a wide range of highly customized corporate solutions to the media, business, government, and institutions, as well as news, weather, and video to over 180,000 third-party websites. AccuWeather will deploy a digital hurricane tracker for both internet and mobile platforms in July 2021. The cutting-edge hurricane tracking feature provides patented AccuWeather Forecast Eye Path maps, impact visualizations, and easily accessible tools for monitoring and following storms for the greatest preparation, protection, and insight.
Weather Forecasting Systems Market Scope
|
Report Metric |
Details |
|
Market size available for years |
2018–2026 |
|
Base year considered |
2020 |
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Forecast period |
2021-2026 |
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Forecast units |
Value (USD Million) |
|
Segments covered |
By solution, by application, by vertical, by forecast type, and by region |
|
Geographies covered |
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
|
Companies covered |
The Weather Company (US), Vaisala Oyj (Finland), DTN (US), AccuWeather Inc. (US), and StormGeo (Norway) are some of the major players of weather forecasting systems market. (25 Companies) |
The study categorizes the weather forecasting systems market based on solution, application, vertical, forecast type, and region.
By Solution
- Hardware
- Barometers
- Anemometers
- Hygrometers
- Rain Gauges
- Thermometers
- Communication & Data Loggers
- Sounding Systems & Radiosondes
- Others
- Software
- Data Collection & Processing Software
- Weather Monitoring & Display Software
- Supercomputing
- Big Data Analytics
- Others
By Application
- Weather Satellites
- Weather Observing Systems
- Weather Stations
- Weather Drones
- Weather Balloons
- Weather LiDAR
- Weather Radar
- Others
By Vertical
- Agriculture
- Aviation
- Renewable Energy
- Marine
- Oil & Gas
- Transport & Logistics
- Military
- Meteorology
- Weather Service Providers
- Others
By Forecast Type
- Nowcast
- Short-range
- Medium range
- Extended range
- Long range
By Region
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Weather Forecasting Systems Market Highlights:
What is new?
- Major developments that can change the business landscape as well as market forecasts.
Companies in global weather forecasting ecosystems are constantly developing advanced systems to achieve higher accuracy in predicting and capturing changing weather conditions. This is expected to require larger models and even larger computing capacities. This can be achieved with the use of supercomputers and supercomputing technology. Megatrends such as climate change, renewable energy, digitization & big data, future mobility, urbanization, sustainability, and awareness drive the global weather forecasting systems market.
- Emerging Technology Trends
- Supercomputers
- Computer Models with Fast Processors
- Next-Generation Radar Technology
- Big Weather Data Analysis
- Hadoop and MapReduce
- Intelligent Weather Predicting Modules
- Addition/refinement in segmentation–Increase the depth or width of market segmentation. ((If Revamped))
Weather Forecasting Systems Market, By Forecast Type
- Nowcast
- Short-range
- Medium-range
- Extended-range
- Long-range
- Weather Forecasting Systems Market, By Vertical
- Agriculture
- Aviation
- Transportation & Logistics
- Oil & Gas
- Renewable Energy
- Marine
- Meteorology
- Military
- Weather Service Providers
- Others
- Weather Forecasting Systems Market, By Solution
- Software
- Data Collection & Processing
- Weather Monitoring & Display
- Big Data Analytics
- Super Computing
- Others
- Hardware
- Barometers
- Anemometers
- Hygrometers
- Rain Gauges
- Thermometers
- Weather Radars
- Satellite Sensors
- Communication & Data Loggers
- Sounding Systems & Radiosondes
- Others
- Weather Forecasting Systems Market, By Application
- Weather Satellites
- Weather Observing Systems
- Weather Stations
- Weather Drones
- Weather Balloons
- Weather LiDAR
- Weather Radar
- Others
- Coverage of new market players and change in the market share of existing weather forecasting systems market players. ((If Revamped))
Company profiles: Company profiles give a glimpse of the key players in the market with respect to their business overviews, financials, product offerings, recent developments undertaken by them, and MnM view. In the new edition of the report, we have 27 players (22 major, 5 Startups/SME). Moreover, the share of companies operating in the weather forecasting systems market and start-up matrix have also been provided in the report.
- Updated financial information and product portfolios of players operating in the weather forecasting systems market. ((If Revamped))
Newer and improved representation of financial information: The new edition of the report provides updated financial information in the weather forecasting systems market till 2020/2021 for each listed company in the graphical representation in a single diagram (instead of multiple tables). This would help to easily analyze the present status of profiled companies in terms of their financial strength, profitability, key revenue-generating region/country, business segment focus in terms of the highest revenue-generating segment, and investment in research and development activities.
- Updated market developments of the profiled players.
Recent Developments: Updated market developments such as contracts, joint ventures, partnerships & agreements, acquisitions, new service launches, new product launches, investments, funding, and certification have been mapped for the years 2018 to 2021. For instance, in April 2021, AccuWeather announced an official collaboration with SailGP, a premier sail racing competition. AccuWeather is the official weather supplier of SailGP, providing crucial weather insights and predictions with its superior accuracy to event management and world-class racing teams.
- Any new data points/analysis (frameworks) which was not present in the previous version of the report
- Competitive benchmarking of startups /SMEs covers financial status, the latest funding round, and total funding.
- Inclusion of the impact of megatrends on the weather forecasting systems market that includes a shift in global climate change, rapid urbanization, greater customization, and disruptive technologies
- Technology analysis and case studies are added in this edition of the report to give the technological perspective and the significance of the advancements in the weather forecasting systems market
- Inclusion of patent registrations to overview R&D activities in the weather forecasting systems market.
- The startup evaluation matrix is added in this report, covering drone startups.
- The new edition of the report consists of trends/disruptions in customer business, tariff & regulatory landscape, pricing analysis, and a market ecosystem map to better understand the market dynamics for weather forecasting systems.
Recent Developments
- In September 2021, AccuWeather announced its partnership with the Major Arena Soccer League (MASL). AccuWeather will provide weather forecasts to assist in event MASL planning for other major sports leagues and organizations around the world.
- In April 2021, The West of Scotland Consortium renewed its contract as its transportation safety weather supplier with DTN. The council depends on RoadMaster, a DTN solution, to make key choices concerning weather-related maintenance and management, especially in inclement weather.
- In April 2021, AccuWeather announced an official collaboration with SailGP, a premier sail racing competition. AccuWeather is the official weather supplier of SailGP, providing crucial weather insights and predictions with its superior accuracy to event management and world-class racing teams.
Frequently Asked Questions (FAQs):
What is the current size of the weather forecasting systems market?
The weather forecasting systems market is projected to grow from USD 26.2 billion in 2022 to USD 38.3 Billion by 2027, at a CAGR of 7.9% from 2022 to 2027.
Who are the winners in the weather forecasting systems market?
The Weather Company (US), AccuWeather Inc. (US), DTN (US), Vaisala Oyj (Finland), and StormGeo (Norway)
What are some of the technological advancements in the market?
Big weather data analysis enables the transformation of the data generated by various weather forecasting agencies into actionable information. For instance, the government of the Netherlands uses various environmental metrics, such as precipitation measurements, radar data, water level during previous floods, and maintenance data from sluices and dams. Pumping stations, among others, determine the best course of action when high water levels in different water bodies are expected, thereby reducing both losses caused by floods and water management costs. These environmental metrics are also used to prevent environmental degradation.
Intelligent weather forecasting modules consider various environmental parameters, such as maximum temperature, minimum temperature, and rainfall for a specific period, and analyze these to provide weather predictions. These modules offer highly accurate and intelligent weather predictions based on the available data by employing various machine-learning techniques. The analysis by these modules is based on linear regression of environmental parameters to predict weather conditions for the next day with an accuracy higher than 90%.
What are the factors driving the growth of the market?
Growing sea and air transportation, increasing stringency of environmental protection standards, and a high reliance on rainfall for water supply are among the key trends driving the market growth.
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 SYSTEMS MARKET SEGMENTATION
1.2.2 REGIONAL SCOPE
1.2.3 YEARS CONSIDERED
1.3 CURRENCY & PRICING
1.3.1 USD EXCHANGE RATES
1.4 INCLUSIONS AND EXCLUSIONS
1.5 LIMITATIONS
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY (Page No. - 32)
2.1 RESEARCH DATA
FIGURE 2 REPORT PROCESS FLOW
FIGURE 3 WEATHER FORECASTING SYSTEMS MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.1.1 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Key data from primary sources
2.1.2.2 Key primary respondents
2.1.2.3 Breakdown of primaries
FIGURE 4 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
2.1.2.4 Key insights from primary respondents
2.2 FACTOR ANALYSIS
2.2.1 INTRODUCTION
2.2.2 DEMAND-SIDE ANALYSIS
2.2.2.1 Increasing international trade
2.2.3 SUPPLY-SIDE ANALYSIS
2.2.3.1 Advancements in weather forecasting technologies
2.3 MARKET SIZE ESTIMATION
2.4 RESEARCH APPROACH & METHODOLOGY
2.4.1 APPROACH FOR GLOBAL MARKET NUMBERS
2.4.1.1 Weather Forecasting Systems Market Approach
2.4.1.2 Weather Forecasting Solutions Market Approach
2.4.2 BOTTOM-UP APPROACH
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
2.4.3 TOP-DOWN APPROACH
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
2.4.3.1 COVID-19 impact on weather forecasting systems market
2.5 DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.6 ASSUMPTIONS
2.7 LIMITATIONS/GREY AREAS
2.8 RISK ANALYSIS
3 EXECUTIVE SUMMARY (Page No. - 43)
FIGURE 8 HARDWARE SEGMENT TO DOMINATE WEATHER FORECASTING SYSTEMS MARKET IN 2021
FIGURE 9 WEATHER SATELLITES PROJECTED TO LEAD AMONG WEATHER FORECASTING APPLICATIONS FROM 2021 TO 2026
4 PREMIUM INSIGHTS (Page No. - 46)
4.1 ATTRACTIVE OPPORTUNITIES IN WEATHER FORECASTING SYSTEMS MARKET FROM 2021 TO 2026
FIGURE 10 GROWING DEMAND FOR ACCURATE MONITORING AND ANALYSIS DRIVES WEATHER FORECASTING SYSTEMS MARKET
4.2 WEATHER FORECASTING SYSTEMS MARKET, BY FORECAST TYPE
FIGURE 11 WEATHER FORECASTING SYSTEMS MARKET, BY FORECAST TYPE, 2021 TO 2026
4.3 WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL
FIGURE 12 METEOROLOGY EXPECTED TO LEAD WEATHER FORECASTING SYSTEMS MARKET
4.4 WEATHER FORECASTING SYSTEMS MARKET, BY REGION
FIGURE 13 EUROPE TO COMMAND LARGEST SHARE OF WEATHER FORECASTING SYSTEMS MARKET IN 2021
4.5 WEATHER FORECASTING SYSTEMS MARKET, BY COUNTRY
FIGURE 14 INDIA TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
5 MARKET OVERVIEW (Page No. - 49)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 15 WEATHER FORECASTING SYSTEMS MARKET: DRIVERS, OPPORTUNITIES, AND CHALLENGES
5.2.1 DRIVERS
5.2.1.1 Climate change patterns resulting in uncertainties related to rainfall
FIGURE 16 GLOBAL TEMPERATURE CHANGES FROM 1900 TO 2021
5.2.1.2 Need for continuous weather monitoring to enable disaster management
5.2.1.3 Upsurge in production of renewable energy
FIGURE 17 RENEWABLE ENERGY CAPACITY, BY ENERGY SOURCE
TABLE 1 RENEWABLE ENERGY CAPACITY, BY REGION
5.2.2 RESTRAINTS
5.2.2.1 Dynamic nature of atmospheric variables
5.2.2.2 Complexity of weather forecasting models
5.2.3 OPPORTUNITIES
5.2.3.1 Increasing computing capabilities of supercomputers for weather forecasting
5.2.3.2 Enhancing accuracy of long-range weather forecasting
5.2.3.3 Incorporation of high-end radar and small satellites in weather monitoring
5.2.3.4 Increasing use of big data analytics in weather forecasting
5.2.4 CHALLENGES
5.2.4.1 Lack of effective automation
5.2.4.2 Occurrence of false weather alarms
5.2.4.3 Significant capital investment requirement
5.3 RANGES AND SCENARIOS
FIGURE 18 IMPACT OF COVID-19 ON THE MARKET: GLOBAL SCENARIOS
5.4 IMPACT OF COVID-19 ON WEATHER FORECASTING SYSTEMS MARKET
FIGURE 19 IMPACT OF COVID-19 ON WEATHER FORECASTING SYSTEMS MARKET
5.4.1 DEMAND-SIDE IMPACT
5.4.1.1 Key developments from January 2020 to November 2021
TABLE 2 KEY DEVELOPMENTS IN WEATHER FORECASTING SYSTEMS MARKET
2020-2021 58
5.4.2 SUPPLY-SIDE IMPACT
5.4.2.1 Key developments from January 2020 to November 2021
TABLE 3 KEY DEVELOPMENTS IN WEATHER FORECASTING SYSTEMS MARKET JANUARY 2020 TO NOVEMBER 2021
5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER'S BUSINESS
5.5.1 REVENUE SHIFT AND NEW REVENUE POCKETS FOR WEATHER FORECASTING SYSTEMS
FIGURE 20 REVENUE SHIFT IN WEATHER FORECASTING SYSTEMS MARKET
5.6 AVERAGE SELLING PRICE ANALYSIS OF WEATHER FORECASTING SYSTEMS, 2020
TABLE 4 AVERAGE SELLING PRICE ANALYSIS OF WEATHER FORECASTING SYSTEMS AND SUBSYSTEMS IN 2020
5.7 OPERATIONAL DATA
TABLE 5 SATELLITES LAUNCHED FOR WEATHER FORECASTING ND EARTH OBSERVATION PURPOSES DURING 2020-2021
5.8 WEATHER FORECASTING SYSTEMS MARKET ECOSYSTEM
5.8.1 PROMINENT COMPANIES
5.8.2 PRIVATE AND SMALL ENTERPRISES
5.8.3 END USERS
FIGURE 21 WEATHER FORECASTING SYSTEMS MARKET ECOSYSTEM MAP
TABLE 6 WEATHER FORECASTING SYSTEMS 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 AUTOMATED WEATHER ANALYSIS USING IMAGE RECOGNITION
5.10.2 IBM GLOBAL HIGH-RESOLUTION ATMOSPHERIC FORECASTING SYSTEM (GRAF)
5.10.3 INCLOUD WEATHER FORECASTING
5.11 VALUE CHAIN ANALYSIS OF WEATHER FORECASTING SYSTEMS MARKET
FIGURE 22 VALUE CHAIN ANALYSIS
5.12 PORTER’S FIVE FORCES ANALYSIS
TABLE 7 WEATHER FORECASTING SYSTEMS MARKET: PORTER’S FIVE FORCES ANALYSIS
FIGURE 23 KEY WEATHER FORECASTING SYSTEM 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 INTENSITY OF COMPETITIVE RIVALRY
5.13 TARIFF AND REGULATORY LANDSCAPE
5.13.1 NORTH AMERICA
5.13.2 EUROPE
5.14 TRADE ANALYSIS
TABLE 8 COUNTRY-WISE EXPORTS, 2019-2020 (USD THOUSAND)
TABLE 9 COUNTRY-WISE IMPORTS, 2019-2020 (USD THOUSAND)
TABLE 10 THERMOMETERS, PYROMETERS NOT COMBINED WITH OTHER INSTRUMENTS ,COUNTRY-WISE EXPORTS, 2019-2020 (USD THOUSAND)
TABLE 11 THERMOMETERS, PYROMETERS NOT COMBINED WITH OTHER INSTRUMENTS, COUNTRY-WISE IMPORTS, 2019-2020 (USD THOUSAND)
6 INDUSTRY TRENDS (Page No. - 77)
6.1 INTRODUCTION
6.2 TECHNOLOGY TRENDS
6.2.1 SUPERCOMPUTERS
6.2.2 COMPUTER MODELS WITH FAST PROCESSORS
6.2.3 EMERGENCE OF NEXT-GENERATION RADAR TECHNOLOGY
6.2.4 BIG WEATHER DATA ANALYSIS
6.2.4.1 Hadoop and MapReduce
6.2.5 INTELLIGENT WEATHER PREDICTING MODULES
6.3 SUPPLY CHAIN ANALYSIS
FIGURE 24 SUPPLY CHAIN ANALYSIS
6.4 IMPACT OF MEGATRENDS
6.4.1 AUTOMATION
6.4.2 BIG DATA, INTERNET OF THINGS (IOT), AND ARTIFICIAL INTELLIGENCE
6.4.3 DIGITIZATION
6.5 INNOVATIONS AND PATENT REGISTRATIONS
TABLE 12 INNOVATION & PATENT REGISTRATIONS (2018-2021)
7 WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION (Page No. - 84)
7.1 INTRODUCTION
FIGURE 25 HARDWARE SEGMENT TO DOMINATE WEATHER FORECASTING SYSTEMS MARKET FROM 2021 TO 2026
TABLE 13 WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
7.2 HARDWARE
TABLE 14 WEATHER FORECASTING HARDWARE SOLUTIONS MARKET, BY TYPE, 2018–2026 (USD MILLION)
7.2.1 BAROMETERS
7.2.1.1 Need for continuous monitoring of atmospheric pressure drives barometers segment
7.2.2 ANEMOMETERS
7.2.2.1 Need for accuracy in measuring speed of airflow fuels anemometers segment
TABLE 15 ANEMOMETERS: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
7.2.3 HYGROMETERS
7.2.3.1 Improved accuracy of forecasts boosts demand for hygrometers
7.2.4 RAIN GAUGES
7.2.4.1 Need for measurement of precipitation expected to boost rain gauges market
7.2.5 THERMOMETERS
7.2.5.1 Different thermometers used for different purposes at weather stations
7.2.6 COMMUNICATION & DATA LOGGERS
7.2.6.1 Need for detailed weather information of specific areas boosts communication & data loggers demand
7.2.7 SOUNDING SYSTEMS & RADIOSONDES
7.2.7.1 High frequency of launching radiosondes drives growth of segment
7.2.8 SATELLITE SENSORS
7.2.8.1 Need for high-resolution images drives satellite sensors segment
7.2.9 OTHERS
7.2.9.1 Demand for measurement of wind direction & cloud base heights boosts demand for windvanes and ceilometers
7.3 SOFTWARE
TABLE 16 WEATHER FORECASTING SOFTWARE SOLUTIONS MARKET, BY TYPE, 2018–2026 (USD MILLION)
7.3.1 DATA COLLECTION & PROCESSING SOFTWARE
7.3.1.1 Use of data collection & processing software to plan energy requirements in extreme conditions drives growth
7.3.2 WEATHER MONITORING & DISPLAY SOFTWARE
7.3.2.1 Provision of real-time updates of extreme conditions drives weather monitoring & display software segment
7.3.3 SUPERCOMPUTING
7.3.3.1 Supercomputers enable collection and storage of all weather data
7.3.4 BIG DATA ANALYTICS
7.3.4.1 Need for in-depth detailed analytics fuels big data analytics segment
7.3.5 OTHERS
7.3.5.1 Need for a robust method to predict and analyze weather data sets drives use of AI, ML, and time series
8 WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION (Page No. - 94)
8.1 INTRODUCTION
FIGURE 26 WEATHER SATELLITES TO DOMINATE MARKET DURING FORECAST PERIOD
TABLE 17 WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
8.2 WEATHER SATELLITES
8.2.1 WEATHER SATELLITES PIVOTAL TO FUNCTIONING OF METEOROLOGISTS
8.3 WEATHER OBSERVING SYSTEMS
8.3.1 AUTOMATED WEATHER OBSERVING SYSTEMS PLAY MAJOR ROLE IN SMOOTH FLIGHT OPERATION
8.4 WEATHER STATIONS
8.4.1 AUTOMATIC WEATHER STATIONS ENABLE MEASUREMENTS FROM REMOTE AREAS
8.5 WEATHER DRONES
8.5.1 DRONE TECHNOLOGY – MAJOR ADVANCEMENT IN WEATHER FORECASTING METHODOLOGY
8.6 WEATHER RADAR
8.6.1 TRANSMISSION OF DATA TO SUPERCOMPUTERS FOR ANALYSIS AND FORECASTING FUELS WEATHER RADAR SEGMENT
8.7 WEATHER LIDAR
8.7.1 CONTINUOUS OBSERVATION OF PBL DRIVES LIDAR SEGMENT
8.8 OTHERS
8.8.1 NEED TO MONITOR INDOOR AND OUTDOOR WEATHER CONDITIONS BOOSTS DEMAND FOR DIGITAL WEATHER STATIONS AND DRIFTING BUOYS
9 WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL (Page No. - 99)
9.1 INTRODUCTION
FIGURE 27 METEOROLOGY SEGMENT TO LEAD WEATHER FORECASTING SYSTEMS MARKET FROM 2021 TO 2026
TABLE 18 WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
9.2 AGRICULTURE
9.2.1 NEED TO PLAN OPTIMAL DEVELOPMENT AND YIELD OF CROPS DRIVES AGRICULTURE SEGMENT
9.3 AVIATION
9.3.1 NEED TO ENSURE SAFETY OF AIR PASSENGERS AND FLIGHT CREW BOOSTS AVIATION SEGMENT
9.4 TRANSPORTATION & LOGISTICS
9.4.1 NEED FOR SMOOTH AND ON-TIME TRANSPORTATION & LOGISTICS BOOSTS SEGMENT
9.5 OIL & GAS
9.5.1 ASSISTANCE IN PLANNING DEPLOYMENT OF EQUIPMENT, OFFSHORE DRILLING, AND ROUTE PLANNING BOOSTS OIL & GAS SEGMENT
9.6 MARINE
9.6.1 DEMAND FROM MARINE SEGMENT DRIVEN BY NEED TO ANALYZE WEATHER CONDITIONS TO SAFEGUARD CREWS OF VESSELS
9.7 RENEWABLE ENERGY
9.7.1 HIGH DEPENDENCE OF RENEWABLE SOURCES ON WEATHER CONDITIONS DRIVES SEGMENT
9.8 MILITARY
9.8.1 NEED TO ENSURE OPERATIONAL EFFICACY EXPECTED TO DRIVE SEGMENT GROWTH
9.9 METEOROLOGY
9.9.1 IMPORTANCE IN AIR TRAFFIC MANAGEMENT SERVICES DRIVES METEOROLOGY SEGMENT
9.10 WEATHER SERVICE PROVIDERS
9.10.1 DEMAND FOR ACCURATE AND REAL-TIME WEATHER INFORMATION FUELS SEGMENT
9.11 OTHERS
9.11.1 NEED FOR EFFECTIVE PLANNING AND DECISION-MAKING FUELS GROWTH IN OTHER VERTICALS
10 WEATHER FORECASTING SERVICES MARKET, BY FORECAST TYPE (Page No. - 107)
10.1 INTRODUCTION
TABLE 20 WEATHER FORECASTING SYSTEMS MARKET, BY FORECAST TYPE, 2018–2026 (USD MILLION)
10.2 NOWCAST
10.2.1 ACCURATE PREDICTION OF WEATHER CONDITIONS ~6 HOURS IN ADVANCE DRIVES NOWCAST SEGMENT
10.3 SHORT RANGE
10.3.1 DEMAND FROM FISHERIES AND TRANSPORTATION TO BOOST SHORT RANGE SEGMENT
10.4 MEDIUM RANGE
10.4.1 REQUIREMENT FOR MEDIUM-RANGE FORECAST IN AGRICULTURAL INDUSTRY FUELS MEDIUM RANGE SEGMENT
10.5 EXTENDED RANGE
10.5.1 DEMAND FROM RESOURCE MANAGEMENT AND CITY PLANNING SECTORS BOOSTS EXTENDED RANGE SEGMENT
10.6 LONG RANGE
10.6.1 INCREASING DEMAND FROM INDUSTRIES DIRECTLY IMPACTED BY IT DRIVES LONG RANGE SEGMENT
11 REGIONAL ANALYSIS (Page No. - 111)
11.1 INTRODUCTION
FIGURE 29 EUROPE TO ACCOUNT FOR LARGEST SHARE OF WEATHER FORECASTING SYSTEMS MARKET IN 2021
TABLE 21 WEATHER FORECASTING SYSTEMS MARKET, BY REGION, 2018–2026 (USD MILLION)
11.2 NORTH AMERICA
11.2.1 COVID-19 IMPACT ON NORTH AMERICA
11.2.2 PESTLE ANALYSIS: NORTH AMERICA
TABLE 22 NORTH AMERICA: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 23 NORTH AMERICA: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 24 NORTH AMERICA: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
TABLE 25 NORTH AMERICA: WEATHER FORECASTING SYSTEMS MARKET, BY FORECAST TYPE, 2018–2026 (USD MILLION)
TABLE 26 NORTH AMERICA: WEATHER FORECASTING SYSTEMS MARKET, BY COUNTRY, 2018–2026 (USD MILLION)
FIGURE 30 NORTH AMERICA: WEATHER FORECASTING SYSTEMS MARKET SNAPSHOT
11.2.3 US
11.2.3.1 Upgradation of weather forecasting systems at airports drives US market
TABLE 27 US: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 28 US: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 29 US: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION,2018–2026 (USD MILLION)
TABLE 30 US: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
11.2.4 CANADA
11.2.4.1 Major radio and TV companies such as Rogers Media drive Canadian market
TABLE 31 CANADA: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 32 CANADA: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 33 CANADA: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.3 EUROPE
11.3.1 COVID-19 IMPACT ON EUROPE
11.3.2 PESTLE ANALYSIS: EUROPE
TABLE 34 EUROPE: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 35 EUROPE: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 36 EUROPE: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
TABLE 37 EUROPE: WEATHER FORECASTING SYSTEMS MARKET, BY FORECAST TYPE, 2018–2026 (USD MILLION)
TABLE 38 EUROPE: WEATHER FORECASTING SYSTEMS MARKET, BY COUNTRY, 2018–2026 (USD MILLION)
FIGURE 31 EUROPE: WEATHER FORECASTING SYSTEMS MARKET SNAPSHOT
11.3.3 UK
11.3.3.1 UK market driven by development of next-generation forecasting models
TABLE 39 UK: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 40 UK: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 41 UK: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.3.4 GERMANY
11.3.4.1 Introduction of weather satellites for climate observation boosts German market
TABLE 42 GERMANY: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 43 GERMANY: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 44 GERMANY: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.3.5 FRANCE
11.3.5.1 French market boosted by increasing investment in new and advanced weather forecasting systems
TABLE 45 FRANCE: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 46 FRANCE: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 47 FRANCE: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.3.6 ITALY
11.3.6.1 Italy supports development of advanced weather prediction technologies
TABLE 48 ITALY: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 49 ITALY: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 50 ITALY: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.3.7 RUSSIA
11.3.7.1 Russia - rapidly expanding meteorology techniques with hydrometeorology
TABLE 51 RUSSIA: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 52 RUSSIA: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 53 RUSSIA: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.3.8 REST OF EUROPE
TABLE 54 REST OF EUROPE: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 55 REST OF EUROPE: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 56 REST OF EUROPE: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.4 ASIA PACIFIC
11.4.1 COVID-19 IMPACT ON ASIA PACIFIC
11.4.2 PESTLE ANALYSIS: ASIA PACIFIC
TABLE 57 ASIA PACIFIC: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 58 ASIA PACIFIC: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 59 ASIA PACIFIC: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
TABLE 60 ASIA PACIFIC: WEATHER FORECASTING SYSTEMS MARKET, BY FORECAST TYPE, 2018–2026 (USD MILLION)
TABLE 61 ASIA PACIFIC: WEATHER FORECASTING SYSTEMS MARKET, BY COUNTRY, 2018–2026 (USD MILLION)
FIGURE 32 ASIA PACIFIC WEATHER FORECASTING SYSTEMS MARKET SNAPSHOT
11.4.3 CHINA
11.4.3.1 Advancements in conventional weather forecasting systems fuel China market
TABLE 62 CHINA: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 63 CHINA: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 64 CHINA: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.4.4 INDIA
11.4.4.1 Accurate predictions by high-performance computer systems propel Indian market
TABLE 65 INDIA: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 66 INDIA: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 67 INDIA: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.4.5 JAPAN
11.4.5.1 Increasing adoption of meteorological and hydrological services boosts Japan market
TABLE 68 JAPAN: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 69 JAPAN: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 70 JAPAN: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.4.6 SOUTH KOREA
11.4.6.1 Government support for domestic production of satellite-based telemetry equipment to drive market growth in South Korea
TABLE 71 SOUTH KOREA: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 72 SOUTH KOREA: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 73 SOUTH KOREA: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.4.7 AUSTRALIA
11.4.7.1 Development of predictive ocean atmosphere model – key to market growth in Australia
TABLE 74 AUSTRALIA: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 75 AUSTRALIA: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 76 AUSTRALIA: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.4.8 REST OF ASIA PACIFIC
TABLE 77 REST OF ASIA PACIFIC: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 78 REST OF ASIA PACIFIC: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 79 REST OF ASIA PACIFIC: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.5 MIDDLE EAST & AFRICA
11.5.1 COVID-19 IMPACT ON MIDDLE EAST & AFRICA
11.5.2 PESTLE ANALYSIS: MIDDLE EAST & AFRICA
TABLE 80 MIDDLE EAST & AFRICA: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 81 MIDDLE EAST & AFRICA: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 82 MIDDLE EAST & AFRICA: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
TABLE 83 MIDDLE EAST & AFRICA: WEATHER FORECASTING SYSTEMS MARKET, BY COUNTRY, 2018–2026 (USD MILLION)
FIGURE 33 MIDDLE EAST & AFRICA: WEATHER FORECASTING SYSTEMS MARKET SNAPSHOT
11.5.3 ISRAEL
11.5.3.1 Israel witnessing increased adoption of advanced weather sensors for meteorological operations
TABLE 85 ISRAEL: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 86 ISRAEL: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 87 ISRAEL: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.5.4 SAUDI ARABIA
11.5.4.1 Saudi market driven by development of advanced Weather Research and Forecasting modelling system
TABLE 88 SAUDI ARABIA: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 89 SAUDI ARABIA: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 90 SAUDI ARABIA: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.5.5 TURKEY
11.5.5.1 Increasing demand from marine, renewable energy, and oil & gas companies – key driver in Turkey
TABLE 91 TURKEY: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 92 TURKEY: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 93 TURKEY: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.5.6 SOUTH AFRICA
11.5.6.1 Increasing demand for weather forecasting systems from local industries drives South African market
TABLE 94 SOUTH AFRICA: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 95 SOUTH AFRICA: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 96 SOUTH AFRICA: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.5.7 REST OF MIDDLE EAST
TABLE 97 REST OF MIDDLE EAST: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 98 REST OF MIDDLE EAST: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 99 REST OF MIDDLE EAST: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.6 LATIN AMERICA
11.6.1 COVID-19 IMPACT ON LATIN AMERICA
11.6.2 PESTLE ANALYSIS: LATIN AMERICA
FIGURE 34 LATIN AMERICA WEATHER FORECASTING SYSTEMS MARKET SNAPSHOT
TABLE 100 LATIN AMERICA: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 101 LATIN AMERICA: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 102 LATIN AMERICA: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
TABLE 103 ASIA PACIFIC: WEATHER FORECASTING SYSTEMS MARKET, BY FORECAST TYPE, 2018–2026 (USD MILLION)
TABLE 104 LATIN AMERICA: WEATHER FORECASTING SYSTEMS MARKET, BY COUNTRY, 2018–2026 (USD MILLION)
11.6.3 BRAZIL
11.6.3.1 Weather forecasting in Brazil to become more precise in coming years
TABLE 105 BRAZIL: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 106 BRAZIL: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 107 BRAZIL: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
11.6.4 MEXICO
11.6.4.1 Mexico rapidly expanding its forecasting capabilities to mitigate effects of natural disasters
TABLE 108 MEXICO: WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION, 2018–2026 (USD MILLION)
TABLE 109 MEXICO: WEATHER FORECASTING SYSTEMS MARKET, BY VERTICAL, 2018–2026 (USD MILLION)
TABLE 110 MEXICO: WEATHER FORECASTING SYSTEMS MARKET, BY APPLICATION, 2018–2026 (USD MILLION)
12 COMPETITIVE LANDSCAPE (Page No. - 166)
12.1 INTRODUCTION
TABLE 111 COMPETITIVE OVERVIEW
TABLE 112 KEY DEVELOPMENTS BY LEADING PLAYERS IN WEATHER FORECASTING SYSTEMS MARKET BETWEEN 2018 AND 2021
12.2 MARKET RANKING ANALYSIS OF KEY PLAYERS, 2020
FIGURE 35 REVENUE ANALYSIS FOR KEY COMPANIES IN LAST 5 YEARS
12.3 MARKET SHARE ANALYSIS
TABLE 113 WEATHER FORECASTING SYSTEMS MARKET: DEGREE OF COMPETITION
12.4 COMPANY PRODUCT FOOTPRINT ANALYSIS
TABLE 114 COMPANY PRODUCT FOOTPRINT
TABLE 115 COMPANY SOLUTION FOOTPRINT
TABLE 116 COMPANY APPLICATION FOOTPRINT
TABLE 117 COMPANY REGION FOOTPRINT
12.5 COMPANY EVALUATION QUADRANT
12.5.1 STAR
12.5.2 EMERGING LEADER
12.5.3 PERVASIVE
12.5.4 PARTICIPANT
FIGURE 36 WEATHER FORECASTING SYSTEMS MARKET (GLOBAL) COMPANY EVALUATION MATRIX, 2020
12.6 START-UP/SME EVALUATION QUADRANT
12.6.1 PROGRESSIVE COMPANY
12.6.2 RESPONSIVE COMPANY
12.6.3 STARTING BLOCK
12.6.4 DYNAMIC COMPANY
FIGURE 37 WEATHER FORECASTING SYSTEMS MARKET COMPETITIVE LEADERSHIP MAPPING, 2020 (START-UP/SME)
12.7 COMPETITIVE SCENARIO AND TRENDS
12.7.1 MARKET EVALUATION FRAMEWORK
12.7.2 NEW PRODUCT LAUNCHES AND DEVELOPMENTS
TABLE 118 NEW PRODUCT LAUNCHES AND DEVELOPMENTS, 2018-2021
12.7.3 DEALS
TABLE 119 WEATHER FORECASTING SYSTEMS MARKET: DEALS, 2018–2021
13 COMPANY PROFILES (Page No. - 188)
(Business Overview, Products Offered, Recent Developments, MnM View Right to win, Strategic choices made, Weaknesses and competitive threats) *
13.1 INTRODUCTION
13.2 KEY PLAYERS
13.2.1 THE WEATHER COMPANY
TABLE 120 THE WEATHER COMPANY: BUSINESS OVERVIEW
13.2.2 VAISALA OYJ
TABLE 121 VAISALA OYJ: BUSINESS OVERVIEW
FIGURE 38 VAISALA OYJ: COMPANY SNAPSHOT
13.2.3 ACCUWEATHER, INC.
TABLE 122 ACCUWEATHER, INC.: BUSINESS OVERVIEW
TABLE 123 ACCUWEATHER, INC.: PRODUCT LAUNCHES
TABLE 124 ACCUWEATHER, INC.: DEALS
13.2.4 DTN
TABLE 125 DTN: BUSINESS OVERVIEW
13.2.5 STORMGEO
TABLE 126 STORMGEO: BUSINESS OVERVIEW
13.2.6 METEOGROUP
TABLE 127 METEOGROUP: BUSINESS OVERVIEW
13.2.7 SUTRON CORPORATION
TABLE 128 SUTRON CORPORATION: BUSINESS OVERVIEW
13.2.8 CAMPBELL SCIENTIFIC
TABLE 129 CAMPBELL SCIENTIFIC: BUSINESS OVERVIEW
13.2.9 ALL WEATHER, INC
TABLE 130 ALL WEATHER, INC.: BUSINESS OVERVIEW
13.2.10 AIRMAR TECHNOLOGY CORPORATION
TABLE 131 AIRMAR TECHNOLOGY CORPORATION: BUSINESS OVERVIEW
13.2.11 MORCOM INTERNATIONAL
TABLE 132 MORCOM INTERNATIONAL: BUSINESS OVERVIEW
13.2.12 MET ONE INSTRUMENTS INC.
TABLE 133 MET ONE INSTRUMENTS INC.: BUSINESS OVERVIEW
13.2.13 G. LUFFT MESS-UND REGELTECHNIK GMBH
TABLE 134 G. LUFFT MESS-UND REGELTECHNIK GMBH: BUSINESS OVERVIEW
13.2.14 GILL INSTRUMENTS
TABLE 135 GILL INSTRUMENTS: BUSINESS OVERVIEW
13.2.15 CUSTOMWEATHER
TABLE 136 CUSTOMWEATHER: BUSINESS OVERVIEW
13.2.16 SPEEDWELL WEATHER
TABLE 137 SPEEDWELL WEATHER: BUSINESS OVERVIEW
13.2.17 HOSKIN SCIENTIFIC
TABLE 138 HOSKIN SCIENTIFIC: BUSINESS OVERVIEW
13.2.18 SKYE INSTRUMENTS
TABLE 139 SKYE INSTRUMENTS: BUSINESS OVERVIEW
13.2.19 DAVIS INSTRUMENTS
TABLE 140 DAVIS INSTRUMENTS: BUSINESS OVERVIEW
13.2.20 ENSCO
TABLE 141 ENSCO: BUSINESS OVERVIEW
13.2.21 WEATHER ROUTING, INC.
TABLE 142 WEATHER ROUTING, INC.: BUSINESS OVERVIEW
13.3 OTHER PLAYERS
13.3.1 UNDERSTORY
13.3.2 TEMPOQUEST
13.3.3 UMIBET GMBH
13.3.4 LIQUID ROBOTICS
13.3.5 SKYVIEW SYSTEMS LTD.
*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.
14 APPENDIX (Page No. - 243)
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 AVAILABLE CUSTOMIZATIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
The study involved four major activities in estimating the current size of the Weather Forecasting Systems Market. Exhaustive secondary research was done to collect information on the weather forecasting systems market and its end-user sectors. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Demand-side analysis was carried out to estimate the overall size of the market. Thereafter, market breakdown and data triangulation procedures were used to estimate the sizes of different segments and subsegments of the Weather Forecasting Systems Market.
Secondary Research
The market ranking of companies was determined using the secondary data made available through paid and unpaid sources and by analyzing the product portfolios of major companies. These companies were rated based on performance and quality of their products. These data points were further validated by primary sources.
Secondary sources referred to for this research study include financial statements of companies offering weather forecasting systems and services and information from various trade, business, and professional associations. The secondary data was collected and analyzed to arrive at the overall size of the weather forecasting systems market, which was validated by primary respondents.
Primary Research
Extensive primary research was conducted after acquiring information regarding the weather forecasting systems market scenario through secondary research. Several primary interviews were conducted with market experts from both the demand and supply sides across major countries of North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America. Primary data was collected through questionnaires, emails, and telephonic interviews.
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 systems market. The bottom-up approach was employed to arrive at the overall size of the weather forecasting systems market by estimating the revenues and shares of key market players. The bottom-up approach was also implemented for data extraction from secondary research to validate the market segment revenues. Market shares were then estimated for each company to verify the revenue shares used earlier in the bottom-up approach. In the top-down approach, all the key manufacturers of weather forecasting systems and software solution providers were identified, and their revenue mapped for the base year. To calculate the overall market size, the segmental revenue of weather forecasting systems and solution providers was added for the base year, 2020.
Weather Forecasting Systems Market Size: Top-Down Approach
To know about the assumptions considered for the study, Request for Free Sample Report
Weather Forecasting Systems Market Size: Bottom-Up Approach
Data Triangulation
After arriving at the overall size of the weather forecasting systems market from the market size estimation process explained above, the total market was split into several segments and subsegments. The data triangulation and market breakdown procedures explained below were implemented, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics for various segments and subsegments of the market. 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 top-down and bottom-up approaches.
Report Objectives
- To define, describe, and forecast the size of the weather forecasting systems market based on solutions, verticals, applications, forecast type and region.
- To forecast the size of the various segments of the weather forecasting systems market based on five regions—North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America—along with key countries in each of these regions
- To identify and analyze key drivers, restraints, opportunities, and challenges influencing the growth of the market
- To identify industry trends, market trends, and technology trends prevailing in the market
- To analyze micromarkets with respect to individual technological trends, prospects, and their contribution to the overall market
- To provide a detailed competitive landscape of the market and analyze competitive growth strategies such as product launches and developments, contracts, partnerships, agreements, and collaborations adopted by key players in the market
- To identify the detailed financial positions, product portfolios, and key developments of leading companies in the market
- To strategically profile key market players and comprehensively analyze their market rank analysis and core competencies
Available Customizations
MarketsandMarkets offers the following customizations for this market report:
- Additional country-level analysis of the Weather Forecast Systems Market
- Profiling of additional market players (up to 5)
Product Analysis
- Product matrix, which provides a detailed comparison of the product portfolio of each company in the Weather Forecast Systems Market
Growth opportunities and latent adjacency in Weather Forecasting Systems Market
I want to know about the best practices in the weather forecasting industry; what methods, what models, and what satellites foreign countries are using and what India is lacking.
We're evaluating future market segments, including space-based weather data solutions and systems and the end user market.
Need basic market research framework of the weather forecasting systems and solutions market for analysis.
What is the basic infrastructure requirement for setting up a Weather Service Company?How do Companies in provisioning Weather Services Generate Revenue?