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Global Airport Catering Truck Market to reach USD XX billion by the end of 2029.

Global Airport Catering Truck Market Size study & Forecast, by Capacity (Below 1500kg, 1500kg to 4000kg, and above 4000kg), Application (Commercial and Non-Commercial Airport), Product Type (Electric, Hybrid), and Maximum Sill Height (Below 4 metre, 4 metre to 6 metre, and above 6 metre) and Regional Analysis, 2022-2029

Product Code: ALTAWT-81993845
Publish Date: 24-04-2023
Page: 200

Global Airport Catering Truck Market is valued at approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2029. Airport Catering Truck has its application in the transportation of food to the aircraft and is suitable for use on a wide range of aircraft models. Moreover, chassis, lifter, thermal door, carriage, supporting feet, workbench, hydraulic system, electrical system, and refrigeration unit are typical components of these trucks. The growing air passenger traffic worldwide and rising demand for cost-effective in-air catering solutions are key factors driving the market growth.

In post-pandemic era global passenger traffic has significantly increased, creating a lucrative growth prospectus for the market over the forecast period. For instance – as per the Directorate General of Civil Aviation (DGCA)’s December 2022 data, India witnessed an almost 50% increase in passenger traffic compared to 2021. Moreover, around 123.2 million passengers travelled by air in India in 2022, witnessing a 47% increase in the number of passengers in 2021. Furthermore, as per International Civil Aviation Organization (ICAO) – in 2021, the number of passengers worldwide was estimated at 2.3 billion or 49 per cent below pre-pandemic (2019) levels, and up from the 60 per cent drop was seen in 2020. Additionally, global seating Capacity offered by airlines worldwide increased by approximately 20 per cent during the same period. However, the volatile cost of raw materials and supply chain constraints arising due to the pandemic expected to impede market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Airport Catering Truck Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the availability of well-established domestic airport infrastructure as well as increasing passenger traffic in the region. Whereas Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising investment towards the development of greenfield & upgradation of existing brownfield airports in the region.

Major market player included in this report are:
Mallaghan Engineering Limited
DOLL Fahrzeugbau GmbH
Jiangsu Tianyi Airport Special Equipment Co.Ltd
Rucker Equip. Industriais Ltda.
Smith Transportation Equipment
Nandan GSE Pvt. Ltd.
Eagle Industries DWC-LLC
Global Ground Support LLC

Recent Developments in the Market:
Ø In July 2022, AIR T, INC, announced the formation of its wholly owned subsidiary named Crestone Air Partners, Inc. focused on trading, leasing, and managing commercial aviation assets. This new JV would invest in aviation assets.

Global Airport Catering Truck Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Capacity, Application, Maximum Still Height, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
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 Capacity
Below 1500kg
1500kg to 4000kg
above 4000kg
By Application
Non-Commercial Airport
By Product Type
By Maximum Sill Height
Below 4 metre
4 metre to 6 metre
Above 6 metre

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Airport Catering Truck Market, by Region, 2019-2029 (USD Billion)
1.2.2. Airport Catering Truck Market, by Capacity, 2019-2029 (USD Billion)
1.2.3. Airport Catering Truck Market, by Application, 2019-2029 (USD Billion)
1.2.4. Airport Catering Truck Market, by Product Type, 2019-2029 (USD Billion)
1.2.5. Airport Catering Truck Market, by Maximum Sill Height, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Airport Catering Truck Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Airport Catering Truck Market Dynamics
3.1. Airport Catering Truck Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Growing air passenger traffic worldwide Rising demand for cost effective in-air catering solutions.
3.1.2. Market Challenges Volatile cost of raw materials
3.1.3. Market Opportunities Growing investment towards development of airport infrastructure Rising technological advancement in Airport Catering truck
Chapter 4. Global Airport Catering Truck 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. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Airport Catering Truck Market, by Capacity
6.1. Market Snapshot
6.2. Global Airport Catering Truck Market by Capacity, Performance – Potential Analysis
6.3. Global Airport Catering Truck Market Estimates & Forecasts by Capacity 2019-2029 (USD Billion)
6.4. Airport Catering Truck Market, Sub Segment Analysis
6.4.1. Below 1500kg
6.4.2. 1500kg to 4000kg
6.4.3. Above 4000kg
Chapter 7. Global Airport Catering Truck Market, by Application
7.1. Market Snapshot
7.2. Global Airport Catering Truck Market by Application, Performance – Potential Analysis
7.3. Global Airport Catering Truck Market Estimates & Forecasts by Application 2019-2029 (USD Billion)
7.4. Airport Catering Truck Market, Sub Segment Analysis
7.4.1. Commercial
7.4.2. Non-Commercial Airport
Chapter 8. Global Airport Catering Truck Market, by Product Type
8.1. Market Snapshot
8.2. Global Airport Catering Truck Market by Product Type, Performance – Potential Analysis
8.3. Global Airport Catering Truck Market Estimates & Forecasts by Product Type 2019-2029 (USD Billion)
8.4. Airport Catering Truck Market, Sub Segment Analysis
8.4.1. Electric
8.4.2. Hybrid
Chapter 9. Global Airport Catering Truck Market, by Maximum Sill Height
9.1. Market Snapshot
9.2. Global Airport Catering Truck Market by Maximum Sill Height, Performance – Potential Analysis
9.3. Global Airport Catering Truck Market Estimates & Forecasts by Maximum Sill Height 2019-2029 (USD Billion)
9.4. Airport Catering Truck Market, Sub Segment Analysis
9.4.1. Below 4 metre
9.4.2. 4 metre to 6 metre
9.4.3. Above 6 metre
Chapter 10. Global Airport Catering Truck Market, Regional Analysis
10.1. Airport Catering Truck Market, Regional Market Snapshot
10.2. North America Airport Catering Truck Market
10.2.1. U.S. Airport Catering Truck Market Capacity breakdown estimates & forecasts, 2019-2029 Application breakdown estimates & forecasts, 2019-2029 Product Type breakdown estimates & forecasts, 2019-2029 Maximum Sill Height breakdown estimates & forecasts, 2019-2029
10.2.2. Canada Airport Catering Truck Market
10.3. Europe Airport Catering Truck Market Snapshot
10.3.1. U.K. Airport Catering Truck Market
10.3.2. Germany Airport Catering Truck Market
10.3.3. France Airport Catering Truck Market
10.3.4. Spain Airport Catering Truck Market
10.3.5. Italy Airport Catering Truck Market
10.3.6. Rest of Europe Airport Catering Truck Market
10.4. Asia-Pacific Airport Catering Truck Market Snapshot
10.4.1. China Airport Catering Truck Market
10.4.2. India Airport Catering Truck Market
10.4.3. Japan Airport Catering Truck Market
10.4.4. Australia Airport Catering Truck Market
10.4.5. South Korea Airport Catering Truck Market
10.4.6. Rest of Asia Pacific Airport Catering Truck Market
10.5. Latin America Airport Catering Truck Market Snapshot
10.5.1. Brazil Airport Catering Truck Market
10.5.2. Mexico Airport Catering Truck Market
10.5.3. Rest of Latin America Airport Catering Truck Market
10.6. Rest of The World Airport Catering Truck Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Mallaghan Engineering Ltd. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
11.2.2. DOLL Fahrzeugbau GmbH
11.2.3. Jiangsu Tianyi Airport Special Equipment Co.Ltd
11.2.4. Rucker Equip. Industriais Ltda.
11.2.5. Smith Transportation Equipment
11.2.6. AIR T INC
11.2.7. AlVEST
11.2.8. Nandan GSE Pvt. Ltd.
11.2.9. Eagle Industries DWC-LLC
11.2.10. Global Ground Support LLC.
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. 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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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:
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