Smart Airport Market : Forecast to 2024-2032
| 出版 | Fortune Business Insights |
| 出版年月 | 2024年5月 |
| ページ数 | 180 |
| 価格タイプ | シングルユーザライセンス |
| 価格 | USD 4,850 |
| 種別 | 英文調査報告書 |
Report Overview
Growth Factors of Smart Airport Market
The smart airport market size was valued at USD 2.29 billion in 2023, and the market is now projected to grow from USD 4.05 billion in 2024 to USD 11.56 billion by 2032, exhibiting a CAGR of 16.1% during the forecast period of 2024-2032.
COVID-19 had an extensive affect in the marketplace among 2020 and 2021. The COVID-19 pandemic has decreased passenger travel, which is a main source of profits for airways and plane organizations. Passenger numbers plummeted, inflicting operators to searching for alternative resources of cash in an effort to continue to exist. The closure of many global boundaries led to increased interest in international travel for both leisure and commercial purposes. In March 2020, the airline was losing money due to decreased passenger numbers, aircraft hangars, maintenance and insurance costs, and other operational expenditures.
The market is expected to upward thrust swiftly because of the developing commercial aviation region and international call for air tour. According to the International Air Transport Association (IATA), China and India are expected to boom their percentage of air passenger traffic via 44% over the subsequent decade. Over the subsequent decade, the Asia Pacific region is expected to have the fastest increase in air passenger visitors. Governments in developed countries prioritize making an investment in green airports and smart airport packages to reduce environmental effect. Smart parking is a growing idea in airports. As a result, over the studies length, such factors will pressure smart airport market growth.
Facial recognition biometrics generation is more and more being used at airports global, both domestic and worldwide. This system streamlines boarding with the aid of eliminating paper and traditional data recording techniques. Additionally, biometric authentication is applied in airports for several purposes. Biometrics beautify flight protection by means of verifying people’ identities. Passengers are diagnosed based on their wonderful developments. Almost all usernames, passwords, and PINs can be stolen, and facts breaches can disclose critical records to criminals.
Comprehensive Analysis of Smart Airport Market
The marketplace for AI-based totally airport systems is anticipated to grow appreciably, with the Al/gadget getting to know segment dominating the market. This boom is pushed through the increasing demand for AI-based totally systems and gadget in terminals. Hardware structures are expected to dominate the increase, pushed via advancements in digital airport answers. Software systems are predicted to show big boom due to demand for face detection and real-time records software program. The market is divided into Airport 1.0, Airport 2.0, Airport 3.0, and Airport 4.0, with Airport 3.0 dominating the market due to tremendous adoption in North American airports.
The North America region lead the smart airport market share by benefitting a market size of USD 0.75 billion in 2023 due to U.S. has lately significantly expanded its spending in airport infrastructure upgrades. The Transportation Security Administration (TSA) and different regulatory agencies, as well as the presence of important producers like as Honeywell International Inc. And Raytheon Technologies Inc. The presence of Hartsfield-Jackson Atlanta International Airport (ATL), the most important worldwide airport, is predicted to enhance enterprise within the vicinity.
Thales Group, Honeywell International Inc., Raytheon Technologies Inc., Collins Aerospace, and Cisco Systems lead the marketplace. These firms’ consciousness on growing self-sufficient, environmentally pleasant answers for airports. Additionally, they intend to extend into Asian international locations. They collaborate with governments to create smart airports in their respective nations. Over the subsequent decade, European groups will play an active function in airport design.
In January 2023, Kazakhstan’s Izirolda Airport commissioned the Alstef Group to create the Baggage Handling System “BHS” for a brand-new terminal. Alstef will installation each outward and incoming structures as in line with the agreement necessities.
Segmentation Table
ATTRIBUTE DETAILS
Study Period 2019-2030
Base Year 2022
Estimated Year 2023
Forecast Period 2023-2030
Historical Period 2019-2021
Growth Rate CAGR of 16.1% from 2023 to 2030
Unit Value (USD Billion)
Segmentation Application; Platform; Airport Model; and Geography
By Application
• AI/Machine Learning
• Data Visualization
• Anomaly Detection
• Cyber Security
• Asset/Resource Management
• Others
By Platform
• Hardware
• Software
• Data Management
• Others
By Airport Model
• Airport 1.0
• Airport 2.0
• Airport 3.0
• Airport 4.0
• North America (By Application; Platform; Airport Model; and Country)
o U.S. (By Platform)
o Canada (By Platform)
• Europe (By Application; Platform; Airport Model; and Country)
o U.K. (By Platform)
o Germany (By Platform)
o France (By Platform)
o Spain (By Platform)
o Rest of Europe (By Platform)
• Asia Pacific (By Application; Platform; Airport Model; and Country)
o China (By Platform)
o India (By Platform)
o Japan (By Platform)
o South Korea (By Platform)
o Rest of Asia Pacific (By Platform)
• Rest of the World (By Application; Platform; Airport Model; and Country)
o Middle East & Africa (By Platform)
o Latin America (By Platform)
Table of Contents
1. Introduction
1.1. Research Scope
1.2. Market Segmentation
1.3. Research Methodology
1.4. Definitions and Assumptions
2. Executive Summary
3. Market Dynamics
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
4. Key Insights
4.1. Key Industry Developments – Key Contracts & Agreements, Mergers, Acquisitions and Partnerships
4.2. Latest technological Advancements
4.3. Porters Five Forces Analysis
4.4. Supply Chain Analysis
4.5. Quantitative Insights – Impact of COVID-19 Pandemic on Smart Airport Market
5. Smart Airport Market Analysis, Insights and Forecast, 2019-2030
5.1. Key Findings / Definition
5.2. Market Analysis, Insights and Forecast – By Application
5.2.1. AI/Machine Learning
5.2.2. Data Visualization
5.2.3. Anomaly Detection
5.2.4. Cyber Security
5.2.5. Asset/Resource Management
5.2.6. Others
5.3. Market Analysis, Insights and Forecast – By Platform
5.3.1. Hardware
5.3.2. Software
5.3.3. Data Management
5.3.4. Others
5.4. Market Analysis, Insights and Forecast – By Airport Model
5.4.1. Airport 1.0
5.4.2. Airport 2.0
5.4.3. Airport 3.0
5.4.4. Airport 4.0
5.5. Market Analysis, Insights and Forecast – By Region
5.5.1. North America
5.5.2. Europe
5.5.3. Asia-pacific
5.5.4. Rest of the World
6. North America Smart Airport Market Analysis, Insights and Forecast, 2019-2030
6.1. Market Analysis, Insights and Forecast – By Application
6.1.1. AI/Machine Learning
6.1.2. Data Visualization
6.1.3. Anomaly Detection
6.1.4. Cyber Security
6.1.5. Asset/Resource Management
6.1.6. Others
6.2. Market Analysis, Insights and Forecast – By Platform
6.2.1. Hardware
6.2.2. Software
6.2.3. Data Management
6.2.4. Others
6.3. Market Analysis, Insights and Forecast – By Airport Model
6.3.1. Airport 1.0
6.3.2. Airport 2.0
6.3.3. Airport 3.0
6.3.4. Airport 4.0
6.4. Market Analysis – By Country
6.4.1. The U.S. (By Platform)
6.4.2. Canada (By Platform)
7. Europe Smart Airport Market Analysis, Insights and Forecast, 2019-2030
7.1. Market Analysis, Insights and Forecast – By Application
7.1.1. AI/Machine Learning
7.1.2. Data Visualization
7.1.3. Anomaly Detection
7.1.4. Cyber Security
7.1.5. Asset/Resource Management
7.1.6. Others
7.2. Market Analysis, Insights and Forecast – By Platform
7.2.1. Hardware
7.2.2. Software
7.2.3. Data Management
7.2.4. Others
7.3. Market Analysis, Insights and Forecast – By Airport Model
7.3.1. Airport 1.0
7.3.2. Airport 2.0
7.3.3. Airport 3.0
7.3.4. Airport 4.0
7.4. Market Analysis – By Country
7.4.1. U.K (By Platform)
7.4.2. Germany (By Platform)
7.4.3. France (By Platform)
7.4.4. Spain (By Platform)
7.4.5. Rest of Europe (By Platform)
8. Asia Pacific Smart Airport Market Analysis, Insights and Forecast, 2019-2030
8.1. Market Analysis, Insights and Forecast – By Application
8.1.1. AI/Machine Learning
8.1.2. Data Visualization
8.1.3. Anomaly Detection
8.1.4. Cyber Security
8.1.5. Asset/Resource Management
8.1.6. Others
8.2. Market Analysis, Insights and Forecast – By Platform
8.2.1. Hardware
8.2.2. Software
8.2.3. Data Management
8.2.4. Others
8.3. Market Analysis, Insights and Forecast – By Airport Model
8.3.1. Airport 1.0
8.3.2. Airport 2.0
8.3.3. Airport 3.0
8.3.4. Airport 4.0
8.4. Market Analysis – By Country
8.4.1. China (By Platform)
8.4.2. India (By Platform)
8.4.3. Japan (By Platform)
8.4.4. South Korea (By Platform)
8.4.5. Rest of Asia Pacific (By Platform)
9. Rest of the World Smart Airport Market Analysis, Insights and Forecast, 2019-2030
9.1. Market Analysis, Insights and Forecast – By Application
9.1.1. AI/Machine Learning
9.1.2. Data Visualization
9.1.3. Anomaly Detection
9.1.4. Cyber Security
9.1.5. Asset/Resource Management
9.1.6. Others
9.2. Market Analysis, Insights and Forecast – By Platform
9.2.1. Hardware
9.2.2. Software
9.2.3. Data Management
9.2.4. Others
9.3. Market Analysis, Insights and Forecast – By Airport Model
9.3.1. Airport 1.0
9.3.2. Airport 2.0
9.3.3. Airport 3.0
9.3.4. Airport 4.0
9.4. Market Analysis – By Sub-Region
9.4.1. Middle East & Africa (By Platform)
9.4.2. Latin America (By Platform)
10. Competitive Analysis
10.1. Global Market Rank Analysis (2022)
10.2. Competition Dashboard
11. Company Profiles (Overview, Products & services, SWOT analysis, Recent developments, strategies, financials (based on availability)
11.1. SITA (Switzerland)
11.1.1. Overview,
11.1.2. Products & services,
11.1.3. SWOT analysis,
11.1.4. Recent developments,
11.1.5. strategies,
11.1.6. financials (based on availability)
11.2. Huawei Technologies Co., LTD. (China)
11.2.1. Overview,
11.2.2. Products & services,
11.2.3. SWOT analysis,
11.2.4. Recent developments,
11.2.5. strategies,
11.2.6. financials (based on availability)
11.3. Smart Airport Systems (SAS) (France)
11.3.1. Overview,
11.3.2. Products & services,
11.3.3. SWOT analysis,
11.3.4. Recent developments,
11.3.5. strategies,
11.3.6. financials (based on availability)
11.4. Infax, Inc. (The U.S.)
11.4.1. Overview,
11.4.2. Products & services,
11.4.3. SWOT analysis,
11.4.4. Recent developments,
11.4.5. strategies,
11.4.6. financials (based on availability)
11.5. IBM Corporation (The U.S.)
11.5.1. Overview,
11.5.2. Products & services,
11.5.3. SWOT analysis,
11.5.4. Recent developments,
11.5.5. strategies,
11.5.6. financials (based on availability)
11.6. Honeywell International Inc. (The U.S.)
11.6.1. Overview,
11.6.2. Products & services,
11.6.3. SWOT analysis,
11.6.4. Recent developments,
11.6.5. strategies,
11.6.6. financials (based on availability)
11.7. Thales Group (France)
11.7.1. Overview,
11.7.2. Products & services,
11.7.3. SWOT analysis,
11.7.4. Recent developments,
11.7.5. strategies,
11.7.6. financials (based on availability)
11.8. Daifuku Co., LTD. (Japan)
11.8.1. Overview,
11.8.2. Products & services,
11.8.3. SWOT analysis,
11.8.4. Recent developments,
11.8.5. strategies,
11.8.6. financials (based on availability)
11.9. Siemens AG (Germany)
11.9.1. Overview,
11.9.2. Products & services,
11.9.3. SWOT analysis,
11.9.4. Recent developments,
11.9.5. strategies,
11.9.6. financials (based on availability)
11.10. Amadeus IT Group SA (Spain)
11.10.1. Overview,
11.10.2. Products & services,
11.10.3. SWOT analysis,
11.10.4. Recent developments,
11.10.5. strategies,
11.10.6. financials (based on availability)
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