세계의 공항 자동화 시장(-2035년) : 시스템 유형, 기술 유형, 자동화 레벨, 공항 운영 유형, 최종사용자, 지역별 분포, 산업 동향, 세계 예측

Airport Automation Market Overview

As per Roots Analysis, the global airport automation market size is estimated to grow from USD 8.78 billion in the current year to USD 19.54 billion by 2035, at a CAGR of 7.53% during the forecast period, till 2035.

The opportunity for airport automation market has been distributed across the following segments:

Type of System

• Automation & Control
• Data Acquisition & Communication
• Data Storage
• Software & Solutions

Type of Technology

• Air Traffic Management (ATM)
• Automated Ground Handling
• Baggage Handling Systems
• Information Technology (IT) Solutions
• Passenger Processing
• Security Systems

Level of Automation

• Level 1
• Level 2
• Level 3
• Level 4

Type of Airport Operation

• Airside
• Landside
• Terminal Side

End User

• Cargo Airports
• Commercial Airports
• Military Airports

Geographical Regions

• North America
• US
• Canada
• Mexico
• Other North American countries
• Europe
• Austria
• Belgium
• Denmark
• France
• Germany
• Ireland
• Italy
• Netherlands
• Norway
• Russia
• Spain
• Sweden
• Switzerland
• UK
• Other European countries
• Asia
• China
• India
• Japan
• Singapore
• South Korea
• Other Asian countries
• Latin America
• Brazil
• Chile
• Colombia
• Venezuela
• Other Latin American countries
• Middle East and North Africa
• Egypt
• Iran
• Iraq
• Israel
• Kuwait
• Saudi Arabia
• UAE
• Other MENA countries
• Rest of the World
• Australia
• New Zealand
• Other countries

AIRPORT AUTOMATION MARKET: GROWTH AND TRENDS

The automation of airports represents a groundbreaking segment within the aviation sector, centered on the incorporation of cutting-edge technologies to improve both operational efficiency and the passenger experience. Automation such as self-service kiosks, biometric solutions, and automated baggage handling aim to simplify numerous procedures, spanning from check-in and security screening to boarding in airports. The advantages of airport automation are significant, including reduced wait times, diminished human error, and lowered operational costs, all of which ultimately contribute to heightened customer satisfaction and loyalty.

With passenger numbers rising, especially in Southeast Asia, airports are turning to automation technologies to improve efficiency and enhance the passenger experience. As a result, the global market for airport automation is projected to experience considerable growth during the forecast period.

AIRPORT AUTOMATION MARKET: KEY SEGMENTS

Market Share by Type of System

Based on type of system, the global airport automation market is segmented into automation & control, data acquisition & communication, data storage and software & solutions. According to our estimates, currently, automation & control segment captures the majority of the market. This can be attributed to the demand for enhanced operational efficiency, better passenger experiences, and increased safety and security measures.

On the other hand, the data storage segment is projected to achieve a relatively higher compound annual growth rate (CAGR) during the forecast period. This is due to the rapid rise in data produced by various automated systems, including passenger processing, baggage handling, and real-time monitoring systems for airports.

Market Share by Type of Technology

Based on type of technology, the global airport automation market is segmented into air traffic management (ATM), automated ground handling, baggage handling systems, information technology (IT) solutions, passenger processing and security systems. According to our estimates, currently, baggage handling systems segment captures the majority of the market. Moreover, this segment is anticipated to experience a relatively higher growth rate during the forecast period. This is attributed to its essential role in improving operational efficiency and enhancing passenger satisfaction.

Market Share by Level of Automation

Based on level of automation, the global airport automation market is segmented into level 1, level 2, level 3 and level 4. According to our estimates, currently, level 1 segment captures the majority of the market. This can be attributed to the widespread use of self-service technologies in airports, including automated check-in kiosks and mobile boarding passes, which greatly improve passenger convenience and optimize operations.

On the other hand, the level 2 segment is anticipated to experience a relatively higher growth rate during the forecast period. This growth can be attributed to its capacity to boost operational efficiency and enhance passenger experiences considering the increasing traffic.

Market Share by Type of Airport Operation

Based on type of airport operation, the global airport automation market is segmented into airside, landside and terminal side. According to our estimates, currently, landside segment captures the majority of the market. Additionally, this segment is expected to experience a relatively higher CAGR during the forecast period. This growth is attributed to the essential need for improving passenger experiences and operational effectiveness in areas such as check-in, security screening, and baggage handling.

Market Share by End User

Based on end user, the global airport automation market is segmented into cargo airports, commercial airports and military airports. According to our estimates, currently, commercial airports segment captures the majority of the market. Additionally, this segment is anticipated to experience a comparatively higher CAGR during the forecast period. This can be attributed to their capacity to process a significant number of passengers and flights on a daily basis, creating a demand for advanced technological solutions to enhance both efficiency and manage complexity.

Market Share by Geographical Regions

Based on geographical regions, the airport automation market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our estimates, currently, North America captures the majority share of the market.

However, the market in Asia is expected to grow at a relatively higher CAGR during the forecast period. This rapid growth is primarily driven by a rising middle class and increasing demand for air travel, which are encouraging investments in smart airport projects. Additionally, this growth is also propelled by the need for improved operational efficiency and enhanced customer satisfaction, as airports strive to accommodate rising passenger numbers and optimize processes through automation technologies.

Example Players in Airport Automation Market

• ABB
• Amadeus IT
• Amazon Web Services
• Cisco Systems
• Collins Aerospace
• Daifuku
• Honeywell
• IBM
• Oracle
• Siemens
• SITA
• Thales Group
• Vanderlande
• Veoci
• Wipro

AIRPORT AUTOMATION MARKET: RESEARCH COVERAGE

The report on the airport automation market features insights on various sections, including:

• Market Sizing and Opportunity Analysis: An in-depth analysis of the airport automation market, focusing on key market segments, including [A] type of system, [B] type of technology, [C] level of automation, [D] type of airport operation, [E] end user and [F] geographical regions.
• Competitive Landscape: A comprehensive analysis of the companies engaged in the airport automation market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters and [D] ownership structure.
• Company Profiles: Elaborate profiles of prominent players engaged in the airport automation market, providing details on [A] location of headquarters, [B]company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] service / product portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
• Megatrends: An evaluation of ongoing megatrends in airport automation industry.
• Patent Analysis: An insightful analysis of patents filed / granted in the airport automation domain, based on relevant parameters, including [A] type of patent, [B] patent publication year, [C] patent age and [D] leading players.
• Recent Developments: An overview of the recent developments made in the airport automation market, along with analysis based on relevant parameters, including [A] year of initiative, [B] type of initiative, [C] geographical distribution and [D] most active players.
• Porter's Five Forces Analysis: An analysis of five competitive forces prevailing in the airport automation market, including threats of new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute products and rivalry among existing competitors.
• SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.

KEY QUESTIONS ANSWERED IN THIS REPORT

• How many companies are currently engaged in airport automation market?
• Which are the leading companies in this market?
• What factors are likely to influence the evolution of this market?
• What is the current and future market size?
• What is the CAGR of this market?
• How is the current and future market opportunity likely to be distributed across key market segments?

REASONS TO BUY THIS REPORT

• The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
• Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
• The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

ADDITIONAL BENEFITS

• Complimentary Excel Data Packs for all Analytical Modules in the Report
• 15% Free Content Customization
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TABLE OF CONTENTS

SECTION I: REPORT OVERVIEW

1. PREFACE

• 1.1. Introduction
• 1.2. Market Share Insights
• 1.3. Key Market Insights
• 1.4. Report Coverage
• 1.5. Key Questions Answered
• 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

• 2.1. Chapter Overview
• 2.2. Research Assumptions
• 2.3. Database Building
  • 2.3.1. Data Collection
  • 2.3.2. Data Validation
  • 2.3.3. Data Analysis
• 2.4. Project Methodology
  • 2.4.1. Secondary Research
    • 2.4.1.1. Annual Reports
    • 2.4.1.2. Academic Research Papers
    • 2.4.1.3. Company Websites
    • 2.4.1.4. Investor Presentations
    • 2.4.1.5. Regulatory Filings
    • 2.4.1.6. White Papers
    • 2.4.1.7. Industry Publications
    • 2.4.1.8. Conferences and Seminars
    • 2.4.1.9. Government Portals
    • 2.4.1.10. Media and Press Releases
    • 2.4.1.11. Newsletters
    • 2.4.1.12. Industry Databases
    • 2.4.1.13. Roots Proprietary Databases
    • 2.4.1.14. Paid Databases and Sources
    • 2.4.1.15. Social Media Portals
    • 2.4.1.16. Other Secondary Sources
  • 2.4.2. Primary Research
    • 2.4.2.1. Introduction
    • 2.4.2.2. Types
      • 2.4.2.2.1. Qualitative
      • 2.4.2.2.2. Quantitative
    • 2.4.2.3. Advantages
    • 2.4.2.4. Techniques
      • 2.4.2.4.1. Interviews
      • 2.4.2.4.2. Surveys
      • 2.4.2.4.3. Focus Groups
      • 2.4.2.4.4. Observational Research
      • 2.4.2.4.5. Social Media Interactions
    • 2.4.2.5. Stakeholders
      • 2.4.2.5.1. Company Executives (CXOs)
      • 2.4.2.5.2. Board of Directors
      • 2.4.2.5.3. Company Presidents and Vice Presidents
      • 2.4.2.5.4. Key Opinion Leaders
      • 2.4.2.5.5. Research and Development Heads
      • 2.4.2.5.6. Technical Experts
      • 2.4.2.5.7. Subject Matter Experts
      • 2.4.2.5.8. Scientists
      • 2.4.2.5.9. Doctors and Other Healthcare Providers
    • 2.4.2.6. Ethics and Integrity
      • 2.4.2.6.1. Research Ethics
      • 2.4.2.6.2. Data Integrity
  • 2.4.3. Analytical Tools and Databases

3. MARKET DYNAMICS

• 3.1. Forecast Methodology
  • 3.1.1. Top-Down Approach
  • 3.1.2. Bottom-Up Approach
  • 3.1.3. Hybrid Approach
• 3.2. Market Assessment Framework
  • 3.2.1. Total Addressable Market (TAM)
  • 3.2.2. Serviceable Addressable Market (SAM)
  • 3.2.3. Serviceable Obtainable Market (SOM)
  • 3.2.4. Currently Acquired Market (CAM)
• 3.3. Forecasting Tools and Techniques
  • 3.3.1. Qualitative Forecasting
  • 3.3.2. Correlation
  • 3.3.3. Regression
  • 3.3.4. Time Series Analysis
  • 3.3.5. Extrapolation
  • 3.3.6. Convergence
  • 3.3.7. Forecast Error Analysis
  • 3.3.8. Data Visualization
  • 3.3.9. Scenario Planning
  • 3.3.10. Sensitivity Analysis
• 3.4. Key Considerations
  • 3.4.1. Demographics
  • 3.4.2. Market Access
  • 3.4.3. Reimbursement Scenarios
  • 3.4.4. Industry Consolidation
• 3.5. Robust Quality Control
• 3.6. Key Market Segmentations
• 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

• 4.1. Chapter Overview
• 4.2. Market Dynamics
  • 4.2.1. Time Period
    • 4.2.1.1. Historical Trends
    • 4.2.1.2. Current and Forecasted Estimates
  • 4.2.2. Currency Coverage
    • 4.2.2.1. Overview of Major Currencies Affecting the Market
    • 4.2.2.2. Impact of Currency Fluctuations on the Industry
  • 4.2.3. Foreign Exchange Impact
    • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
    • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
  • 4.2.4. Recession
    • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
    • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
  • 4.2.5. Inflation
    • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
    • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
  • 4.2.6. Interest Rates
    • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
    • 4.2.6.2. Strategies for Managing Interest Rate Risk
  • 4.2.7. Commodity Flow Analysis
    • 4.2.7.1. Type of Commodity
    • 4.2.7.2. Origins and Destinations
    • 4.2.7.3. Values and Weights
    • 4.2.7.4. Modes of Transportation
  • 4.2.8. Global Trade Dynamics
    • 4.2.8.1. Import Scenario
    • 4.2.8.2. Export Scenario
  • 4.2.9. War Impact Analysis
    • 4.2.9.1. Russian-Ukraine War
    • 4.2.9.2. Israel-Hamas War
  • 4.2.10. COVID Impact / Related Factors
    • 4.2.10.1. Global Economic Impact
    • 4.2.10.2. Industry-specific Impact
    • 4.2.10.3. Government Response and Stimulus Measures
    • 4.2.10.4. Future Outlook and Adaptation Strategies
  • 4.2.11. Other Indicators
    • 4.2.11.1. Fiscal Policy
    • 4.2.11.2. Consumer Spending
    • 4.2.11.3. Gross Domestic Product (GDP)
    • 4.2.11.4. Employment
    • 4.2.11.5. Taxes
    • 4.2.11.6. R&D Innovation
    • 4.2.11.7. Stock Market Performance
    • 4.2.11.8. Supply Chain
    • 4.2.11.9. Cross-Border Dynamics

SECTION II: QUALITATIVE INSIGHTS

5. EXECUTIVE SUMMARY

6. INTRODUCTION

• 6.1. Chapter Overview
• 6.2. Overview of Airport Automation Market
  • 6.2.1. Type of System
  • 6.2.2. Type of Technology
  • 6.2.3. Type of Automation
  • 6.2.4. Type of Airport Operation
  • 6.2.5. Type of End User
• 6.3. Future Perspective

7. REGULATORY SCENARIO

SECTION III: MARKET OVERVIEW

8. COMPREHENSIVE DATABASE OF LEADING PLAYERS

9. COMPETITIVE LANDSCAPE

• 9.1. Chapter Overview
• 9.2. Airport Automation: Overall Market Landscape
  • 9.2.1. Analysis by Year of Establishment
  • 9.2.2. Analysis by Company Size
  • 9.2.3. Analysis by Location of Headquarters
  • 9.2.4. Analysis by Ownership Structure

10. WHITE SPACE ANALYSIS

11. COMPANY COMPETITIVENESS ANALYSIS

12. STARTUP ECOSYSTEM IN THE AIRPORT AUTOMATION MARKET

• 12.1. Airport Automation Market: Market Landscape of Startups
  • 12.1.1. Analysis by Year of Establishment
  • 12.1.2. Analysis by Company Size
  • 12.1.3. Analysis by Company Size and Year of Establishment
  • 12.1.4. Analysis by Location of Headquarters
  • 12.1.5. Analysis by Company Size and Location of Headquarters
  • 12.1.6. Analysis by Ownership Structure
• 12.2. Key Findings

SECTION IV: COMPANY PROFILES

13. COMPANY PROFILES

• 13.1. Chapter Overview
• 13.2. ABB*
  • 13.2.1. Company Overview
  • 13.2.2. Company Mission
  • 13.2.3. Company Footprint
  • 13.2.4. Management Team
  • 13.2.5. Contact Details
  • 13.2.6. Financial Performance
  • 13.2.7. Operating Business Segments
  • 13.2.8. Service / Product Portfolio (project specific)
  • 13.2.9. MOAT Analysis
  • 13.2.10. Recent Developments and Future Outlook
• 13.3. Amadeus IT
• 13.4. Amazon Web Services
• 13.5. Cisco Systems
• 13.6. Collins Aerospace
• 13.7. Daifuku
• 13.8. Honeywell
• 13.9. IBM
• 13.10. Oracle
• 13.11. Siemens
• 13.12. SITA
• 13.13. Thales Group
• 13.14. Vanderlande
• 13.15. Veoci
• 13.16. Wipro

SECTION V: MARKET TRENDS

14. MEGA TRENDS ANALYSIS

15. UNMET NEED ANALYSIS

16. PATENT ANALYSIS

17. RECENT DEVELOPMENTS

• 17.1. Chapter Overview
• 17.2. Recent Funding
• 17.3. Recent Partnerships
• 17.4. Other Recent Initiatives

SECTION VI: MARKET OPPORTUNITY ANALYSIS

18. GLOBAL AIRPORT AUTOMATION MARKET

• 18.1. Chapter Overview
• 18.2. Key Assumptions and Methodology
• 18.3. Trends Disruption Impacting Market
• 18.4. Demand Side Trends
• 18.5. Supply Side Trends
• 18.6. Global Airport Automation Market, Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 18.7. Multivariate Scenario Analysis
  • 18.7.1. Conservative Scenario
  • 18.7.2. Optimistic Scenario
• 18.8. Investment Feasibility Index
• 18.9. Key Market Segmentations

19. MARKET OPPORTUNITIES BASED ON TYPE OF SYSTEM

• 19.1. Chapter Overview
• 19.2. Key Assumptions and Methodology
• 19.3. Revenue Shift Analysis
• 19.4. Market Movement Analysis
• 19.5. Penetration-Growth (P-G) Matrix
• 19.6. Airport Automation Market for Automation & Control: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 19.7. Airport Automation Market for Data Acquisition & Communication: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 19.8. Airport Automation Market for Data Storage: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 19.9. Airport Automation Market for Software & Solutions: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 19.10. Data Triangulation and Validation
  • 19.10.1. Secondary Sources
  • 19.10.2. Primary Sources
  • 19.10.3. Statistical Modeling

20. MARKET OPPORTUNITIES BASED ON TYPE OF TECHNOLOGY

• 20.1. Chapter Overview
• 20.2. Key Assumptions and Methodology
• 20.3. Revenue Shift Analysis
• 20.4. Market Movement Analysis
• 20.5. Penetration-Growth (P-G) Matrix
• 20.6. Airport Automation Market for Advanced Air Mobility: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 20.7. Airport Automation Market for Automated Ground Handling: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 20.8. Airport Automation Market for Baggage Handling Systems: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 20.9. Airport Automation Market for Information Technology (IT) Solutions: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 20.10. Airport Automation Market for Passenger Processing: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 20.11. Airport Automation Market for Security Systems: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 20.12. Data Triangulation and Validation
  • 20.12.1. Secondary Sources
  • 20.12.2. Primary Sources
  • 20.12.3. Statistical Modeling

21. MARKET OPPORTUNITIES BASED ON LEVEL OF AUTOMATION

• 21.1. Chapter Overview
• 21.2. Key Assumptions and Methodology
• 21.3. Revenue Shift Analysis
• 21.4. Market Movement Analysis
• 21.5. Penetration-Growth (P-G) Matrix
• 21.6. Airport Automation Market for Level 1: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 21.7. Airport Automation Market for Level 2: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 21.8. Airport Automation Market for Level 3: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 21.9. Airport Automation Market for Level 4: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 21.10. Data Triangulation and Validation
  • 21.10.1. Secondary Sources
  • 21.10.2. Primary Sources
  • 21.10.3. Statistical Modeling

22. MARKET OPPORTUNITIES BASED ON TYPE OF AIRPORT OPERATION

• 22.1. Chapter Overview
• 22.2. Key Assumptions and Methodology
• 22.3. Revenue Shift Analysis
• 22.4. Market Movement Analysis
• 22.5. Penetration-Growth (P-G) Matrix
• 22.6. Airport Automation Market for Airside: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 22.7. Airport Automation Market for Landside: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 22.8. Airport Automation Market for Terminal Side: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 22.9. Data Triangulation and Validation
  • 22.9.1. Secondary Sources
  • 22.9.2. Primary Sources
  • 22.9.3. Statistical Modeling

23. MARKET OPPORTUNITIES BASED ON END USER

• 23.1. Chapter Overview
• 23.2. Key Assumptions and Methodology
• 23.3. Revenue Shift Analysis
• 23.4. Market Movement Analysis
• 23.5. Penetration-Growth (P-G) Matrix
• 23.6. Airport Automation Market for Cargo Airports: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 23.7. Airport Automation Market for Commercial Airports: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 23.8. Airport Automation Market for Military Airports: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 23.9. Data Triangulation and Validation
  • 23.9.1. Secondary Sources
  • 23.9.2. Primary Sources
  • 23.9.3. Statistical Modeling

24. MARKET OPPORTUNITIES FOR AIRPORT AUTOMATION IN NORTH AMERICA

• 24.1. Chapter Overview
• 24.2. Key Assumptions and Methodology
• 24.3. Revenue Shift Analysis
• 24.4. Market Movement Analysis
• 24.5. Penetration-Growth (P-G) Matrix
• 24.6. Airport Automation Market in North America: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 24.6.1. Airport Automation Market in the US: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 24.6.2. Airport Automation Market in Canada: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 24.6.3. Airport Automation Market in Mexico: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 24.6.4. Airport Automation Market in Other North American Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 24.7. Data Triangulation and Validation

25. MARKET OPPORTUNITIES FOR AIRPORT AUTOMATION IN EUROPE

• 25.1. Chapter Overview
• 25.2. Key Assumptions and Methodology
• 25.3. Revenue Shift Analysis
• 25.4. Market Movement Analysis
• 25.5. Penetration-Growth (P-G) Matrix
• 25.6. Airport Automation Market in Europe: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.1. Airport Automation Market in Austria: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.2. Airport Automation Market in Belgium: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.3. Airport Automation Market in Denmark: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.4. Airport Automation Market in France: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.5. Airport Automation Market in Germany: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.6. Airport Automation Market in Ireland: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.7. Airport Automation Market in Italy: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.8. Airport Automation Market in the Netherlands: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.9. Airport Automation Market in Norway: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.10. Airport Automation Market in Russia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.11. Airport Automation Market in Spain: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.12. Airport Automation Market in Sweden: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.13. Airport Automation Market in Sweden: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.14. Airport Automation Market in Switzerland: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.15. Airport Automation Market in the UK: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.6.16. Airport Automation Market in Other European Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 25.7. Data Triangulation and Validation

26. MARKET OPPORTUNITIES FOR AIRPORT AUTOMATION IN ASIA

• 26.1. Chapter Overview
• 26.2. Key Assumptions and Methodology
• 26.3. Revenue Shift Analysis
• 26.4. Market Movement Analysis
• 26.5. Penetration-Growth (P-G) Matrix
• 26.6. Airport Automation Market in Asia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 26.6.1. Airport Automation Market in China: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 26.6.2. Airport Automation Market in India: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 26.6.3. Airport Automation Market in Japan: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 26.6.4. Airport Automation Market in Singapore: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 26.6.5. Airport Automation Market in South Korea: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 26.6.6. Airport Automation Market in Other Asian Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 26.7. Data Triangulation and Validation

27. MARKET OPPORTUNITIES FOR AIRPORT AUTOMATION IN MIDDLE EAST AND NORTH AFRICA (MENA)

• 27.1. Chapter Overview
• 27.2. Key Assumptions and Methodology
• 27.3. Revenue Shift Analysis
• 27.4. Market Movement Analysis
• 27.5. Penetration-Growth (P-G) Matrix
• 27.6. Airport Automation Market in Middle East and North Africa (MENA): Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.1. Airport Automation Market in Egypt: Historical Trends (Since 2020) and Forecasted Estimates (Till 205)
  • 27.6.2. Airport Automation Market in Iran: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.3. Airport Automation Market in Iraq: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.4. Airport Automation Market in Israel: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.5. Airport Automation Market in Kuwait: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.6. Airport Automation Market in Saudi Arabia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.7. Airport Automation Market in United Arab Emirates (UAE): Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.8. Airport Automation Market in Other MENA Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 27.7. Data Triangulation and Validation

28. MARKET OPPORTUNITIES FOR AIRPORT AUTOMATION IN LATIN AMERICA

• 28.1. Chapter Overview
• 28.2. Key Assumptions and Methodology
• 28.3. Revenue Shift Analysis
• 28.4. Market Movement Analysis
• 28.5. Penetration-Growth (P-G) Matrix
• 28.6. Airport Automation Market in Latin America: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.1. Airport Automation Market in Argentina: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.2. Airport Automation Market in Brazil: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.3. Airport Automation Market in Chile: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.4. Airport Automation Market in Colombia Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.5. Airport Automation Market in Venezuela: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.6. Airport Automation Market in Other Latin American Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 28.7. Data Triangulation and Validation

29. MARKET OPPORTUNITIES FOR AIRPORT AUTOMATION IN REST OF THE WORLD

• 29.1. Chapter Overview
• 29.2. Key Assumptions and Methodology
• 29.3. Revenue Shift Analysis
• 29.4. Market Movement Analysis
• 29.5. Penetration-Growth (P-G) Matrix
• 29.6. Airport Automation Market in Rest of the World: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 29.6.1. Airport Automation Market in Australia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 29.6.2. Airport Automation Market in New Zealand: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 29.6.3. Airport Automation Market in Other Countries
• 29.7. Data Triangulation and Validation

30. MARKET CONCENTRATION ANALYSIS: DISTRIBUTION BY LEADING PLAYERS

• 30.1. Leading Player 1
• 30.2. Leading Player 2
• 30.3. Leading Player 3
• 30.4. Leading Player 4
• 30.5. Leading Player 5
• 30.6. Leading Player 6
• 30.7. Leading Player 7
• 30.8. Leading Player 8

31. ADJACENT MARKET ANALYSIS

SECTION VII: STRATEGIC TOOLS

32. KEY WINNING STRATEGIES

33. PORTER'S FIVE FORCES ANALYSIS

34. SWOT ANALYSIS

35. VALUE CHAIN ANALYSIS

36. ROOTS STRATEGIC RECOMMENDATIONS

• 36.1. Chapter Overview
• 36.2. Key Business-related Strategies
  • 36.2.1. Research & Development
  • 36.2.2. Product Manufacturing
  • 36.2.3. Commercialization / Go-to-Market
  • 36.2.4. Sales and Marketing
• 36.3. Key Operations-related Strategies
  • 36.3.1. Risk Management
  • 36.3.2. Workforce
  • 36.3.3. Finance
  • 36.3.4. Others

SECTION VIII: OTHER EXCLUSIVE INSIGHTS

37. INSIGHTS FROM PRIMARY RESEARCH

38. REPORT CONCLUSION

SECTION IX: APPENDIX

39. TABULATED DATA

40. LIST OF COMPANIES AND ORGANIZATIONS

41. CUSTOMIZATION OPPORTUNITIES

42. ROOTS SUBSCRIPTION SERVICES

43. AUTHOR DETAILS