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Global Intelligent Airways Transportation System Market to reach USD XXX billion by the end of 2030.

Global Intelligent Airways Transportation System Market Size study & Forecast, by Component (Hardware, Software), by Deployment (On-Premises, Cloud), by Technology (Robotic and artificial intelligence, Data Science, Biometric enables self-service) and Regional Analysis, 2023-2030

Product Code: ALTL-90031610
Publish Date: 20-12-2023
Page: 200

Global Intelligent Airways Transportation System Market is valued at approximately USD XXX billion in 2022 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2023-2030. Intelligent Airways Transportation System employs state-of-the-art technologies, including advanced air traffic management systems, data analytics, artificial intelligence, and communication networks, to optimize the flow of air traffic, reduce congestion, minimize delays, and enhance overall airspace utilization. The Intelligent Airways Transportation System Market is expanding because of factors such as rising air travel traffic, rising technological advancement in the system and growing emphasis on environmental sustainability and reducing the carbon footprint of aviation.

As global economies continue to expand, and as people become more connected in a globalized world, the demand for air travel has surged. This surge has led to a substantial increase in the number of flights, passengers, and cargo transported through airports worldwide. To efficiently manage this burgeoning air traffic, airports and aviation authorities are increasingly turning to intelligent solutions. IATS, which encompasses a range of technologies such as smart airport management, air traffic control, and passenger processing systems, is becoming indispensable. The International Air Transport Association (IATA) report 2022, expects overall air traveler numbers to reach 4.0 billion in 2024. From the same source, it has been found that the total number of travelers in 2021 was 47% higher than in 2019 and 83% in 2022, and it is expected to reach 94% by the year 2023, 103% by the year 2024, and 111% by the year 2025. Moreover, rising spending on the development of Smart Airports and rising deployment of data analytics and blockchain technology in the industry are creating new opportunities for market growth. However, the high cost of intelligent airway transportation systems and cyber security concerns stifle market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Intelligent Airways Transportation System Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to factors such as rising air traffic, rising investment in the development of smart airports, and rising technological advancement in the region. Whereas, Asia Pacific is expected to grow significantly over the forecast period, owing to factors such as rising air traffic, rising government initiatives in the region, rising investment and development of new systems in the region is driving the market growth.

Major market player included in this report are:
Thales Group
Raytheon Technologies Corporation
Leonardo S.p.A.
Honeywell International Inc.
Indra Sistemas S.A.
Harris Corporation (now L3Harris Technologies)
Northrop Grumman Corporation
Siemens AG
International Business Machines Corporation
SITA

Recent Developments in the Market:
Ø In November 2022, Hitachi Rail Limited secured a Framework Agreement contract from Ferroviaria Italiana (RFI) for the design and implementation of the European Rail Transport Management System (ERTMS) digital signaling across 1,885 km of the Italian rail network.
Ø in October 2022, Cubic Transportation Systems, Inc. was awarded a five-year Traffic Scotland Systems Contract (TSSC) by Transport Scotland. The contract encompasses support, maintenance, modernization, and development services aimed at ensuring optimal functionality and availability of the systems integral to delivering the Traffic Scotland Service
Global Intelligent Airways Transportation System 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 – Component, Deployment, Technology, 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 Component:
Hardware
Software

By Deployment:
On-Premises
Cloud

By Technology:
Robotic and artificial intelligence
Data Science
Biometric enables self-service

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

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 Billion)
1.2.1. Intelligent Airways Transportation System Market, by Region, 2020-2030 (USD Billion)
1.2.2. Intelligent Airways Transportation System Market, by Component, 2020-2030 (USD Billion)
1.2.3. Intelligent Airways Transportation System Market, by Deployment, 2020-2030 (USD Billion)
1.2.4. Intelligent Airways Transportation System Market, by Technology, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Intelligent Airways Transportation System 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 Intelligent Airways Transportation System Market Dynamics
3.1. Intelligent Airways Transportation System Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Rising air travel traffic
3.1.1.2. Rising technological advancement in system
3.1.1.3. Growing emphasis on environmental sustainability and reducing the carbon footprint of aviation.
3.1.2. Market Challenges
3.1.2.1. High Cost of Intelligent Airways Transportation System
3.1.2.2. Rising cyber security concerns
3.1.3. Market Opportunities
3.1.3.1. Rising spending on development of Smart Airports
3.1.3.2. Rising deployment of data analytics and blockchain technology
Chapter 4. Global Intelligent Airways Transportation System 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 Intelligent Airways Transportation System Market, by Component
5.1. Market Snapshot
5.2. Global Intelligent Airways Transportation System Market by Component, Performance – Potential Analysis
5.3. Global Intelligent Airways Transportation System Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Intelligent Airways Transportation System Market, Sub Segment Analysis
5.4.1. Hardware
5.4.2. Software
Chapter 6. Global Intelligent Airways Transportation System Market, by Deployment
6.1. Market Snapshot
6.2. Global Intelligent Airways Transportation System Market by Deployment, Performance – Potential Analysis
6.3. Global Intelligent Airways Transportation System Market Estimates & Forecasts by Deployment 2020-2030 (USD Billion)
6.4. Intelligent Airways Transportation System Market, Sub Segment Analysis
6.4.1. On-Premises
6.4.2. Cloud
Chapter 7. Global Intelligent Airways Transportation System Market, by Technology
7.1. Market Snapshot
7.2. Global Intelligent Airways Transportation System Market by Technology, Performance – Potential Analysis
7.3. Global Intelligent Airways Transportation System Market Estimates & Forecasts by Technology 2020-2030 (USD Billion)
7.4. Intelligent Airways Transportation System Market, Sub Segment Analysis
7.4.1. Robotic and artificial intelligence
7.4.2. Data Science
7.4.3. Biometric enables self-service
Chapter 8. Global Intelligent Airways Transportation System Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Intelligent Airways Transportation System Market, Regional Market Snapshot
8.4. North America Intelligent Airways Transportation System Market
8.4.1. U.S. Intelligent Airways Transportation System Market
8.4.1.1. Component breakdown estimates & forecasts, 2020-2030
8.4.1.2. Deployment breakdown estimates & forecasts, 2020-2030
8.4.1.3. Technology breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Intelligent Airways Transportation System Market
8.5. Europe Intelligent Airways Transportation System Market Snapshot
8.5.1. U.K. Intelligent Airways Transportation System Market
8.5.2. Germany Intelligent Airways Transportation System Market
8.5.3. France Intelligent Airways Transportation System Market
8.5.4. Spain Intelligent Airways Transportation System Market
8.5.5. Italy Intelligent Airways Transportation System Market
8.5.6. Rest of Europe Intelligent Airways Transportation System Market
8.6. Asia-Pacific Intelligent Airways Transportation System Market Snapshot
8.6.1. China Intelligent Airways Transportation System Market
8.6.2. India Intelligent Airways Transportation System Market
8.6.3. Japan Intelligent Airways Transportation System Market
8.6.4. Australia Intelligent Airways Transportation System Market
8.6.5. South Korea Intelligent Airways Transportation System Market
8.6.6. Rest of Asia Pacific Intelligent Airways Transportation System Market
8.7. Latin America Intelligent Airways Transportation System Market Snapshot
8.7.1. Brazil Intelligent Airways Transportation System Market
8.7.2. Mexico Intelligent Airways Transportation System Market
8.8. Middle East & Africa Intelligent Airways Transportation System Market
8.8.1. Saudi Arabia Intelligent Airways Transportation System Market
8.8.2. South Africa Intelligent Airways Transportation System Market
8.8.3. Rest of Middle East & Africa Intelligent Airways Transportation System 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. Thales Group
9.3.1.1. Key Information
9.3.1.2. Overview
9.3.1.3. Financial (Subject to Data Availability)
9.3.1.4. Product Summary
9.3.1.5. Recent Developments
9.3.2. Raytheon Technologies Corporation
9.3.3. Leonardo S.p.A.
9.3.4. Honeywell International Inc.
9.3.5. Indra Sistemas S.A.
9.3.6. Harris Corporation (now L3Harris Technologies)
9.3.7. Northrop Grumman Corporation
9.3.8. Siemens AG
9.3.9. International Business Machines Corporation
9.3.10. SITA
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.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
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.
Data Analysis:
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.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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