Artificial Intelligence in Aviation Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis
MARKET OVERVIEW
Growing urbanization has resulted in advent of several disruptive technologies including the artificial intelligence. The AI has become integrated fragment of almost the sectors and recently the technology has also taken a plunge into aviation sector. AI in aviation industry are being applied in diverse fields of applications such as revenue managmenet, air safety, airplane maintenance, feedback analysis, crew management, and messaging automation. The use of AI in aviation leads to increase in speed, effiecienct, and safety in operations driving different players to develop advanced technology for the customers.
MARKET SCOPE
The "Global Artificial Intelligence in Aviation Market Analysis to 2031" is a specialized and in-depth study of the aerospace and defense industry with a special focus on the global market trend analysis. The report aims to provide an overview of the artificial intelligence in aviation market with detailed market segmentation by type, category, distribution channel, and geography. The report provides key statistics on the market status of the leading artificial intelligence in aviation market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
- Based on Offering, the market is segmented as Software, Service.
- On the basis of the Technology, the market is segmented as Machine Learning, Natural Language Processing (NlP), Context Awareness Computing, and Computer Vision
- Based on End User, the market is classified as Smart Maintenance, Flight Operations, Training, Surveillance, and Others.
MARKET DYNAMICS
Drivers:
- Readily available advanced computing capabilities
- Explosion in the data availability and processing needs.
- Aviation industry is extensively investing in its IT and analytics capabilities.
- Integration of connectivity on-board is also expected to provide the market with significant growth motivation.
Restraints
- Data security and privacy issues
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REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The artificial intelligence in aviation market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the marketduring the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the artificial intelligence in aviation market in these regions.
IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE IN AVIATION MARKET
The COVID-19 pandemic has led to one of the biggest challenges to the sustainability of the aviation industry at the global level. There is a tremendous shift in the airport operations and several other passenger-processing changes due to the fast-spreading nature of this disease. The aviation industry, particularly the airport sector, is focusing on providing the passenger a different quality level of service in comparison to the previous norms. Many steps have been taken by air companies and the International Air Transport Association (IATA) to prevent the spread of COVID-19. For instance, according to IATA, flights are categorized into three levels: (1) high-risk flights, (2) medium-risk flights, and (3) low-risk flights, and differentiated prevention and control measures are applied after a comprehensive evaluation of the outbreak at the place of origin of the flights. Thus, the airport management is bound to be more proactive and capable of implementing digital transformation to ensure the passengers safe and healthy air travel. Therefore, due to rising need of automation of various scheduled tasks of aviation operations and efficiency in operational performance, the artificial intelligence in aviation market is growing during the recovery of aviation industry from the impact of COVID-19.
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The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The artificial intelligence in aviation market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the marketduring the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the artificial intelligence in aviation market in these regions.
IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE IN AVIATION MARKET
The COVID-19 pandemic has led to one of the biggest challenges to the sustainability of the aviation industry at the global level. There is a tremendous shift in the airport operations and several other passenger-processing changes due to the fast-spreading nature of this disease. The aviation industry, particularly the airport sector, is focusing on providing the passenger a different quality level of service in comparison to the previous norms. Many steps have been taken by air companies and the International Air Transport Association (IATA) to prevent the spread of COVID-19. For instance, according to IATA, flights are categorized into three levels: (1) high-risk flights, (2) medium-risk flights, and (3) low-risk flights, and differentiated prevention and control measures are applied after a comprehensive evaluation of the outbreak at the place of origin of the flights. Thus, the airport management is bound to be more proactive and capable of implementing digital transformation to ensure the passengers safe and healthy air travel. Therefore, due to rising need of automation of various scheduled tasks of aviation operations and efficiency in operational performance, the artificial intelligence in aviation market is growing during the recovery of aviation industry from the impact of COVID-19.
MARKET PLAYERS
The report covers key developments in the artificial intelligence in aviation market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the marketwere acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market payers from artificial intelligence in aviation market are anticipated to lucrative growth opportunities in the future with the rising demand for artificial intelligence in aviation in the global market.
The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the artificial intelligence in aviation market. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.
- AIRBUS
- AMAZON
- BOEING
- INTEL CORPORATION
- IBM CORP.
- MICRON
- MICROSOFT
- NVIDIA
- SAMSUNG
- XILINX INC.
The Insight Partner’s dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
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Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
TABLE OF CONTENTS
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Artificial Intelligence In Aviation Market - By Offering
1.3.2 Artificial Intelligence In Aviation Market - By Technology
1.3.3 Artificial Intelligence In Aviation Market - By End User
1.3.4 Artificial Intelligence In Aviation Market - By Region
1.3.4.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PORTER’S FIVE FORCES ANALYSIS
4.2.1 Bargaining Power of Buyers
4.2.1 Bargaining Power of Suppliers
4.2.1 Threat of Substitute
4.2.1 Threat of New Entrants
4.2.1 Competitive Rivalry
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS
5. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS
6. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET - GLOBAL MARKET ANALYSIS
6.1. ARTIFICIAL INTELLIGENCE IN AVIATION - GLOBAL MARKET OVERVIEW
6.2. ARTIFICIAL INTELLIGENCE IN AVIATION - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET - REVENUE AND FORECASTS TO 2028 - OFFERING
7.1. OVERVIEW
7.2. OFFERING MARKET FORECASTS AND ANALYSIS
7.3. SOFTWARE
7.3.1. Overview
7.3.2. Software Market Forecast and Analysis
7.4. SERVICE
7.4.1. Overview
7.4.2. Service Market Forecast and Analysis
8. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET - REVENUE AND FORECASTS TO 2028 - TECHNOLOGY
8.1. OVERVIEW
8.2. TECHNOLOGY MARKET FORECASTS AND ANALYSIS
8.3. MACHINE LEARNING
8.3.1. Overview
8.3.2. Machine Learning Market Forecast and Analysis
8.4. NATURAL LANGUAGE PROCESSING (NLP)
8.4.1. Overview
8.4.2. Natural Language Processing (NlP) Market Forecast and Analysis
8.5. CONTEXT AWARENESS COMPUTING
8.5.1. Overview
8.5.2. Context Awareness Computing Market Forecast and Analysis
8.6. COMPUTER VISION
8.6.1. Overview
8.6.2. Computer Vision Market Forecast and Analysis
9. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET - REVENUE AND FORECASTS TO 2028 - END USER
9.1. OVERVIEW
9.2. END USER MARKET FORECASTS AND ANALYSIS
9.3. SMART MAINTENANCE
9.3.1. Overview
9.3.2. Smart Maintenance Market Forecast and Analysis
9.4. FLIGHT OPERATIONS
9.4.1. Overview
9.4.2. Flight Operations Market Forecast and Analysis
9.5. TRAINING
9.5.1. Overview
9.5.2. Training Market Forecast and Analysis
9.6. SURVEILLANCE
9.6.1. Overview
9.6.2. Surveillance Market Forecast and Analysis
9.7. OTHERS
9.7.1. Overview
9.7.2. Others Market Forecast and Analysis
10. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
10.1. NORTH AMERICA
10.1.1 North America Artificial Intelligence In Aviation Market Overview
10.1.2 North America Artificial Intelligence In Aviation Market Forecasts and Analysis
10.1.3 North America Artificial Intelligence In Aviation Market Forecasts and Analysis - By Offering
10.1.4 North America Artificial Intelligence In Aviation Market Forecasts and Analysis - By Technology
10.1.5 North America Artificial Intelligence In Aviation Market Forecasts and Analysis - By End User
10.1.6 North America Artificial Intelligence In Aviation Market Forecasts and Analysis - By Countries
10.1.6.1 Canada Artificial Intelligence In Aviation Market
10.1.6.1.1 Canada Artificial Intelligence In Aviation Market by Offering
10.1.6.1.2 Canada Artificial Intelligence In Aviation Market by Technology
10.1.6.1.3 Canada Artificial Intelligence In Aviation Market by End User
10.1.6.2 Mexico Artificial Intelligence In Aviation Market
10.1.6.2.1 Mexico Artificial Intelligence In Aviation Market by Offering
10.1.6.2.2 Mexico Artificial Intelligence In Aviation Market by Technology
10.1.6.2.3 Mexico Artificial Intelligence In Aviation Market by End User
10.1.6.3 US Artificial Intelligence In Aviation Market
10.1.6.3.1 US Artificial Intelligence In Aviation Market by Offering
10.1.6.3.2 US Artificial Intelligence In Aviation Market by Technology
10.1.6.3.3 US Artificial Intelligence In Aviation Market by End User
10.2. EUROPE
10.2.1 Europe Artificial Intelligence In Aviation Market Overview
10.2.2 Europe Artificial Intelligence In Aviation Market Forecasts and Analysis
10.2.3 Europe Artificial Intelligence In Aviation Market Forecasts and Analysis - By Offering
10.2.4 Europe Artificial Intelligence In Aviation Market Forecasts and Analysis - By Technology
10.2.5 Europe Artificial Intelligence In Aviation Market Forecasts and Analysis - By End User
10.2.6 Europe Artificial Intelligence In Aviation Market Forecasts and Analysis - By Countries
10.2.6.1 Germany Artificial Intelligence In Aviation Market
10.2.6.1.1 Germany Artificial Intelligence In Aviation Market by Offering
10.2.6.1.2 Germany Artificial Intelligence In Aviation Market by Technology
10.2.6.1.3 Germany Artificial Intelligence In Aviation Market by End User
10.2.6.2 France Artificial Intelligence In Aviation Market
10.2.6.2.1 France Artificial Intelligence In Aviation Market by Offering
10.2.6.2.2 France Artificial Intelligence In Aviation Market by Technology
10.2.6.2.3 France Artificial Intelligence In Aviation Market by End User
10.2.6.3 Italy Artificial Intelligence In Aviation Market
10.2.6.3.1 Italy Artificial Intelligence In Aviation Market by Offering
10.2.6.3.2 Italy Artificial Intelligence In Aviation Market by Technology
10.2.6.3.3 Italy Artificial Intelligence In Aviation Market by End User
10.2.6.4 United Kingdom Artificial Intelligence In Aviation Market
10.2.6.4.1 United Kingdom Artificial Intelligence In Aviation Market by Offering
10.2.6.4.2 United Kingdom Artificial Intelligence In Aviation Market by Technology
10.2.6.4.3 United Kingdom Artificial Intelligence In Aviation Market by End User
10.2.6.5 Russia Artificial Intelligence In Aviation Market
10.2.6.5.1 Russia Artificial Intelligence In Aviation Market by Offering
10.2.6.5.2 Russia Artificial Intelligence In Aviation Market by Technology
10.2.6.5.3 Russia Artificial Intelligence In Aviation Market by End User
10.2.6.6 Rest of Europe Artificial Intelligence In Aviation Market
10.2.6.6.1 Rest of Europe Artificial Intelligence In Aviation Market by Offering
10.2.6.6.2 Rest of Europe Artificial Intelligence In Aviation Market by Technology
10.2.6.6.3 Rest of Europe Artificial Intelligence In Aviation Market by End User
10.3. ASIA-PACIFIC
10.3.1 Asia-Pacific Artificial Intelligence In Aviation Market Overview
10.3.2 Asia-Pacific Artificial Intelligence In Aviation Market Forecasts and Analysis
10.3.3 Asia-Pacific Artificial Intelligence In Aviation Market Forecasts and Analysis - By Offering
10.3.4 Asia-Pacific Artificial Intelligence In Aviation Market Forecasts and Analysis - By Technology
10.3.5 Asia-Pacific Artificial Intelligence In Aviation Market Forecasts and Analysis - By End User
10.3.6 Asia-Pacific Artificial Intelligence In Aviation Market Forecasts and Analysis - By Countries
10.3.6.1 Australia Artificial Intelligence In Aviation Market
10.3.6.1.1 Australia Artificial Intelligence In Aviation Market by Offering
10.3.6.1.2 Australia Artificial Intelligence In Aviation Market by Technology
10.3.6.1.3 Australia Artificial Intelligence In Aviation Market by End User
10.3.6.2 China Artificial Intelligence In Aviation Market
10.3.6.2.1 China Artificial Intelligence In Aviation Market by Offering
10.3.6.2.2 China Artificial Intelligence In Aviation Market by Technology
10.3.6.2.3 China Artificial Intelligence In Aviation Market by End User
10.3.6.3 India Artificial Intelligence In Aviation Market
10.3.6.3.1 India Artificial Intelligence In Aviation Market by Offering
10.3.6.3.2 India Artificial Intelligence In Aviation Market by Technology
10.3.6.3.3 India Artificial Intelligence In Aviation Market by End User
10.3.6.4 Japan Artificial Intelligence In Aviation Market
10.3.6.4.1 Japan Artificial Intelligence In Aviation Market by Offering
10.3.6.4.2 Japan Artificial Intelligence In Aviation Market by Technology
10.3.6.4.3 Japan Artificial Intelligence In Aviation Market by End User
10.3.6.5 South Korea Artificial Intelligence In Aviation Market
10.3.6.5.1 South Korea Artificial Intelligence In Aviation Market by Offering
10.3.6.5.2 South Korea Artificial Intelligence In Aviation Market by Technology
10.3.6.5.3 South Korea Artificial Intelligence In Aviation Market by End User
10.3.6.6 Rest of Asia-Pacific Artificial Intelligence In Aviation Market
10.3.6.6.1 Rest of Asia-Pacific Artificial Intelligence In Aviation Market by Offering
10.3.6.6.2 Rest of Asia-Pacific Artificial Intelligence In Aviation Market by Technology
10.3.6.6.3 Rest of Asia-Pacific Artificial Intelligence In Aviation Market by End User
10.4. MIDDLE EAST AND AFRICA
10.4.1 Middle East and Africa Artificial Intelligence In Aviation Market Overview
10.4.2 Middle East and Africa Artificial Intelligence In Aviation Market Forecasts and Analysis
10.4.3 Middle East and Africa Artificial Intelligence In Aviation Market Forecasts and Analysis - By Offering
10.4.4 Middle East and Africa Artificial Intelligence In Aviation Market Forecasts and Analysis - By Technology
10.4.5 Middle East and Africa Artificial Intelligence In Aviation Market Forecasts and Analysis - By End User
10.4.6 Middle East and Africa Artificial Intelligence In Aviation Market Forecasts and Analysis - By Countries
10.4.6.1 South Africa Artificial Intelligence In Aviation Market
10.4.6.1.1 South Africa Artificial Intelligence In Aviation Market by Offering
10.4.6.1.2 South Africa Artificial Intelligence In Aviation Market by Technology
10.4.6.1.3 South Africa Artificial Intelligence In Aviation Market by End User
10.4.6.2 Saudi Arabia Artificial Intelligence In Aviation Market
10.4.6.2.1 Saudi Arabia Artificial Intelligence In Aviation Market by Offering
10.4.6.2.2 Saudi Arabia Artificial Intelligence In Aviation Market by Technology
10.4.6.2.3 Saudi Arabia Artificial Intelligence In Aviation Market by End User
10.4.6.3 U.A.E Artificial Intelligence In Aviation Market
10.4.6.3.1 U.A.E Artificial Intelligence In Aviation Market by Offering
10.4.6.3.2 U.A.E Artificial Intelligence In Aviation Market by Technology
10.4.6.3.3 U.A.E Artificial Intelligence In Aviation Market by End User
10.4.6.4 Rest of Middle East and Africa Artificial Intelligence In Aviation Market
10.4.6.4.1 Rest of Middle East and Africa Artificial Intelligence In Aviation Market by Offering
10.4.6.4.2 Rest of Middle East and Africa Artificial Intelligence In Aviation Market by Technology
10.4.6.4.3 Rest of Middle East and Africa Artificial Intelligence In Aviation Market by End User
10.5. SOUTH AND CENTRAL AMERICA
10.5.1 South and Central America Artificial Intelligence In Aviation Market Overview
10.5.2 South and Central America Artificial Intelligence In Aviation Market Forecasts and Analysis
10.5.3 South and Central America Artificial Intelligence In Aviation Market Forecasts and Analysis - By Offering
10.5.4 South and Central America Artificial Intelligence In Aviation Market Forecasts and Analysis - By Technology
10.5.5 South and Central America Artificial Intelligence In Aviation Market Forecasts and Analysis - By End User
10.5.6 South and Central America Artificial Intelligence In Aviation Market Forecasts and Analysis - By Countries
10.5.6.1 Brazil Artificial Intelligence In Aviation Market
10.5.6.1.1 Brazil Artificial Intelligence In Aviation Market by Offering
10.5.6.1.2 Brazil Artificial Intelligence In Aviation Market by Technology
10.5.6.1.3 Brazil Artificial Intelligence In Aviation Market by End User
10.5.6.2 Argentina Artificial Intelligence In Aviation Market
10.5.6.2.1 Argentina Artificial Intelligence In Aviation Market by Offering
10.5.6.2.2 Argentina Artificial Intelligence In Aviation Market by Technology
10.5.6.2.3 Argentina Artificial Intelligence In Aviation Market by End User
10.5.6.3 Rest of South and Central America Artificial Intelligence In Aviation Market
10.5.6.3.1 Rest of South and Central America Artificial Intelligence In Aviation Market by Offering
10.5.6.3.2 Rest of South and Central America Artificial Intelligence In Aviation Market by Technology
10.5.6.3.3 Rest of South and Central America Artificial Intelligence In Aviation Market by End User
11. INDUSTRY LANDSCAPE
11.1. MERGERS AND ACQUISITIONS
11.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
11.3. NEW PRODUCT LAUNCHES
11.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
12. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET, KEY COMPANY PROFILES
12.1. AIRBUS
12.1.1. Key Facts
12.1.2. Business Description
12.1.3. Products and Services
12.1.4. Financial Overview
12.1.5. SWOT Analysis
12.1.6. Key Developments
12.2. AMAZOM
12.2.1. Key Facts
12.2.2. Business Description
12.2.3. Products and Services
12.2.4. Financial Overview
12.2.5. SWOT Analysis
12.2.6. Key Developments
12.3. BOEING
12.3.1. Key Facts
12.3.2. Business Description
12.3.3. Products and Services
12.3.4. Financial Overview
12.3.5. SWOT Analysis
12.3.6. Key Developments
12.4. INTEL CORPORATION
12.4.1. Key Facts
12.4.2. Business Description
12.4.3. Products and Services
12.4.4. Financial Overview
12.4.5. SWOT Analysis
12.4.6. Key Developments
12.5. IBM CORPORATION
12.5.1. Key Facts
12.5.2. Business Description
12.5.3. Products and Services
12.5.4. Financial Overview
12.5.5. SWOT Analysis
12.5.6. Key Developments
12.6. MICRON
12.6.1. Key Facts
12.6.2. Business Description
12.6.3. Products and Services
12.6.4. Financial Overview
12.6.5. SWOT Analysis
12.6.6. Key Developments
12.7. MICROSOFT
12.7.1. Key Facts
12.7.2. Business Description
12.7.3. Products and Services
12.7.4. Financial Overview
12.7.5. SWOT Analysis
12.7.6. Key Developments
12.8. NVIDIA
12.8.1. Key Facts
12.8.2. Business Description
12.8.3. Products and Services
12.8.4. Financial Overview
12.8.5. SWOT Analysis
12.8.6. Key Developments
12.9. SAMSUNG
12.9.1. Key Facts
12.9.2. Business Description
12.9.3. Products and Services
12.9.4. Financial Overview
12.9.5. SWOT Analysis
12.9.6. Key Developments
12.10. XILINX INC.
12.10.1. Key Facts
12.10.2. Business Description
12.10.3. Products and Services
12.10.4. Financial Overview
12.10.5. SWOT Analysis
12.10.6. Key Developments
13. APPENDIX
13.1. ABOUT THE INSIGHT PARTNERS
13.2. GLOSSARY OF TERMS
The List of Companies
1. Airbus
2. Amazom
3. Boeing
4. Intel Corporation
5. IBM Corporation
6. Micron
7. Microsoft
8. Nvidia
9. Samsung
10. XILINX Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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