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Global Helicopter Meteorological Software Market to reach USD 178.3 Million by the end of 2030

Global Helicopter Meteorological Software Market Size study & Forecast, by Type (Helicopter, Heliports/Helipads), by Application (Emergency Medical Services, Corporate Services, Search & Rescue, Others), by Offering (Electronic Flight Display (EFD) Software, Application Based Software, PC/Desktop Software, Mobile Software) and Regional Analysis, 2023-2030

Product Code: SSAD-93456568
Publish Date: 20-01-2024
Page: 200

Global Helicopter Meteorological Software Market is valued at approximately USD 104.7 million in 2022 and is anticipated to grow with a healthy growth rate of more than 6.9% during the forecast period 2023-2030. Helicopter Meteorological Software is specialized software designed for helicopters to enhance their ability to navigate and operate safely in various meteorological conditions. This software provides critical meteorological information to helicopter pilots, helping them make informed decisions about flight routes, altitudes, and potential weather-related challenges. The software typically integrates real-time weather data, forecasts, and meteorological models, offering a comprehensive view of the atmospheric conditions that may impact helicopter operations. The Helicopter Meteorological Software Market is expanding because of factors such as a rising fleet of helicopters, technological advancements to aid real-time data and increased research and development activities.

The expansion of the helicopter fleet, fueled by a surge in helicopter deliveries, underscores the heightened demand for these aircraft. To navigate through challenging environments and ensure safety, helicopter pilots necessitate up-to-the-minute atmospheric and weather information. This increasing demand for helicopters spans diverse applications, driving the need for advanced weather monitoring software. The growing utilization of helicopters in sectors such as transportation, delivery services, and medical applications, including air ambulance services, is anticipated to further boost both the Helicopter Market and the Meteorological Software Market. For instance, In December 2023, The Royal Malaysian Air Force (RMAF) announced the acquisition process of 12 new helicopters through the open tender at the beginning of next year. Along with this, The Union government on November 2022, approved the acquisition projects worth USD 27 million that included procurement of 97 Tejas light combat aircraft and 156 Prachand combat helicopters. In addition, rising integration with other aviation systems and growing awareness of weather-related risks are creating new opportunities for the market growth. However, the high cost of helicopter meteorological software stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Helicopter Meteorological Software Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022. The dominance of the region in the Helicopter Meteorological Software Market share is anticipated, driven by rising demand for helicopters across diverse commercial applications and the presence of key market players such as ForeFlight LLC and Collins Aerospace. Asia Pacific is expected to grow at the fastest rate over the forecast period. The rise in the count of Original Equipment Manufacturers (OEMs) in the region, coupled with the expansion of the aerospace sector, technological advancements, and overarching infrastructure development, is expected to underpin the swift growth of the Helicopter Meteorological Software Market throughout the forecast period.

Major market player included in this report are:
All Weather, Inc.
WISE Group
Campbell Scientific
ForeFlight LLC
Honeywell International Inc.
InControl AS

Recent Developments in the Market:
Ø In March 2023, the multinational conglomerate, Leonardo S.p.A, announced the widespread adoption of Lidar-based technology for cutting-edge weather forecast. The acknowledgement of market acceptance for this technology, which has been the flagship offering for the past two years, signifies substantial progress. The system, marketed by Leonardo Germany GmbH under the name SIKRON3D, is recognized for its high level of sophistication and reliability in weather forecast.
Ø In May 2022, an authorized channel partner of Honeywell International Inc., ABS Jets, has forged an agreement with Embraer to undertake retrofits for its legacy aircraft. The retrofitting process is set to incorporate Honeywell’s IntuVue RDR-7000 advanced weather radar system.

Global Helicopter Meteorological Software Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, Application, Offering, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:

By Application:
Emergency Medical Services
Corporate Services
Search & Rescue
Oil & Gas
Homeland Security

By Offering:
Electronic Flight Display (EFD) Software
Application Based Software
PC/Desktop Software
Mobile Software

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Million)
1.2.1. Helicopter Meteorological Software Market, by Region, 2020-2030 (USD Million)
1.2.2. Helicopter Meteorological Software Market, by Type, 2020-2030 (USD Million)
1.2.3. Helicopter Meteorological Software Market, by Application, 2020-2030 (USD Million)
1.2.4. Helicopter Meteorological Software Market, by Offering, 2020-2030 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Helicopter Meteorological Software Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Helicopter Meteorological Software Market Dynamics
3.1. Helicopter Meteorological Software Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising fleet of helicopters Technological advancements to aid real-time data Increased research and development activities
3.1.2. Market Challenges High Cost of Helicopter Meteorological Software
3.1.3. Market Opportunities Rising integration with other aviation systems Growing awareness of weather-related risks
Chapter 4. Global Helicopter Meteorological Software Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Helicopter Meteorological Software Market, by Type
5.1. Market Snapshot
5.2. Global Helicopter Meteorological Software Market by Type, Performance – Potential Analysis
5.3. Global Helicopter Meteorological Software Market Estimates & Forecasts by Type 2020-2030 (USD Million)
5.4. Helicopter Meteorological Software Market, Sub Segment Analysis
5.4.1. Helicopter
5.4.2. Heliports/Helipads
Chapter 6. Global Helicopter Meteorological Software Market, by Application
6.1. Market Snapshot
6.2. Global Helicopter Meteorological Software Market by Application, Performance – Potential Analysis
6.3. Global Helicopter Meteorological Software Market Estimates & Forecasts by Application 2020-2030 (USD Million)
6.4. Helicopter Meteorological Software Market, Sub Segment Analysis
6.4.1. Emergency Medical Services
6.4.2. Corporate Services
6.4.3. Search & Rescue
6.4.4. Oil & Gas
6.4.5. Homeland Security
6.4.6. Transportation
6.4.7. Others
Chapter 7. Global Helicopter Meteorological Software Market, by Offering
7.1. Market Snapshot
7.2. Global Helicopter Meteorological Software Market by Offering, Performance – Potential Analysis
7.3. Global Helicopter Meteorological Software Market Estimates & Forecasts by Offering 2020-2030 (USD Million)
7.4. Helicopter Meteorological Software Market, Sub Segment Analysis
7.4.1. Electronic Flight Display (EFD) Software
7.4.2. Application Based Software
7.4.3. PC/Desktop Software
7.4.4. Mobile Software
Chapter 8. Global Helicopter Meteorological Software Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Helicopter Meteorological Software Market, Regional Market Snapshot
8.4. North America Helicopter Meteorological Software Market
8.4.1. U.S. Helicopter Meteorological Software Market Type breakdown estimates & forecasts, 2020-2030 Application breakdown estimates & forecasts, 2020-2030 Offering breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Helicopter Meteorological Software Market
8.5. Europe Helicopter Meteorological Software Market Snapshot
8.5.1. U.K. Helicopter Meteorological Software Market
8.5.2. Germany Helicopter Meteorological Software Market
8.5.3. France Helicopter Meteorological Software Market
8.5.4. Spain Helicopter Meteorological Software Market
8.5.5. Italy Helicopter Meteorological Software Market
8.5.6. Rest of Europe Helicopter Meteorological Software Market
8.6. Asia-Pacific Helicopter Meteorological Software Market Snapshot
8.6.1. China Helicopter Meteorological Software Market
8.6.2. India Helicopter Meteorological Software Market
8.6.3. Japan Helicopter Meteorological Software Market
8.6.4. Australia Helicopter Meteorological Software Market
8.6.5. South Korea Helicopter Meteorological Software Market
8.6.6. Rest of Asia Pacific Helicopter Meteorological Software Market
8.7. Latin America Helicopter Meteorological Software Market Snapshot
8.7.1. Brazil Helicopter Meteorological Software Market
8.7.2. Mexico Helicopter Meteorological Software Market
8.8. Middle East & Africa Helicopter Meteorological Software Market
8.8.1. Saudi Arabia Helicopter Meteorological Software Market
8.8.2. South Africa Helicopter Meteorological Software Market
8.8.3. Rest of Middle East & Africa Helicopter Meteorological Software Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. All Weather, Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. WISE Group
9.3.3. Campbell Scientific
9.3.4. DTN LLC
9.3.5. HENSOLDT Avionics
9.3.6. ForeFlight LLC
9.3.7. HELI EFB GmbH
9.3.8. Honeywell International Inc.
9.3.9. InControl AS
9.3.10. KONGSBERG Gruppen ASA
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
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Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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