AEROSPACE & DEFENCE
Global In-flight Internet Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global In-flight Internet Market, By Technology (Air to Ground (Cellular Based), Satellite-Based, and Hybrid-Based), End Use (Commercial Aviation and Business Aviation), Service Model (Free Wi-Fi, Paid Wi-Fi, and Freemium), Connectivity Speed (High Speed Connectivity, Standard Connectivity, and Low-Bandwidth Connectivity), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
Market Dynamics
- Expansion of air travel
- Increasing passenger demand
- Connectivity limitations
- Integration issues
- Integration with entertainment
- Global coverage expansion
- Meeting rising passenger expectations
- Keeping up with rapid technological changes
SEGMENTATION
- Technology
- Air to Ground (Cellular Based)
- Satellite-Based
- Ka-Band
- Ku-Band
- L-Band
- Hybrid-Based
- End Use
- Commercial Aviation
- Business Aviation
- Service Model
- Free Wi-Fi
- Paid Wi-Fi
- Freemium
- Connectivity Speed
- High Speed Connectivity
- Standard Connectivity
- Low-Bandwidth Connectivity
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Gogo
- Panasonic Avionics
- Viasat
- Inmarsat
- Thales Group
- Honeywell Aerospace
- Thikom Solutions Inc.
- Kymeta Corporation
- Global Eagle Entertainment
- EchoStar Corporation
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global In-flight Internet Market, by Technology
- 3.2 Global In-flight Internet Market, by End Use
- 3.3 Global In-flight Internet Market, by Service Model
- 3.4 Global In-flight Internet Market, by Connectivity Speed
- 3.5 Global In-flight Internet Market, by Geography
- 3.6 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 5G integration
- 5.1.2 Personalized services
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Expansion of air travel
- 5.2.2 Increasing passenger demand
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Connectivity limitations
- 5.3.2 Integration issues
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Integration with entertainment
- 5.4.2 Global coverage expansion
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Meeting rising passenger expectations
- 5.5.2 Keeping up with rapid technological changes
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL IN-FLIGHT INTERNET MARKET, BY TECHNOLOGY
- 6.1 Technology Summary
- 6.2 Market Attractive Index
- 6.3 Global In-flight Internet Market, by Technology (2019-2032)
- SECTION 7 - GLOBAL IN-FLIGHT INTERNET MARKET, BY END USE
- 7.1 End Use Summary
- 7.2 Market Attractive Index
- 7.3 Global In-flight Internet Market, by End Use (2019-2032)
- SECTION 8 - GLOBAL IN-FLIGHT INTERNET MARKET, BY SERVICE MODEL
- 8.1 Service Model Summary
- 8.2 Market Attractive Index
- 8.3 Global In-flight Internet Market, by Service Model (2019-2032)
- SECTION 9 - GLOBAL IN-FLIGHT INTERNET MARKET, BY CONNECTIVITY SPEED
- 9.1 Connectivity Speed Summary
- 9.2 Market Attractive Index
- 9.3 Global In-flight Internet Market, by Connectivity Speed (2019-2032)
- SECTION 10 - GLOBAL IN-FLIGHT INTERNET MARKET, BY GEOGRAPHY
- 10.1 Regional Summary
- 10.2 Market Attractive Index
- 10.3 Global In-flight Internet Market, by Geography (2019-2032)
- SECTION 11 - NORTH AMERICA IN-FLIGHT INTERNET MARKET
- 11.1 North America Summary
- 11.2 Market Attractive Index
- 11.3 North America In-flight Internet Market, by Technology (2019-2032)
- 11.4 North America In-flight Internet Market, by End Use (2019-2032)
- 11.5 North America In-flight Internet Market, by Service Model (2019-2032)
- 11.6 North America In-flight Internet Market, by Connectivity Speed (2019-2032)
- 11.7 North America In-flight Internet Market, by Country (2019-2032)
- 11.7.1 U.S.
- 11.7.2 Canada
- 11.7.3 Mexico
- 11.7.4 Rest of North America
- SECTION 12 - EUROPE IN-FLIGHT INTERNET MARKET
- 12.1 Europe Summary
- 12.2 Market Attractive Index
- 12.3 Europe In-flight Internet Market, by Technology (2019-2032)
- 12.4 Europe In-flight Internet Market, by End Use (2019-2032)
- 12.5 Europe In-flight Internet Market, by Service Model (2019-2032)
- 12.6 Europe In-flight Internet Market, by Connectivity Speed (2019-2032)
- 12.7 Europe In-flight Internet Market, by Country (2019-2032)
- 12.7.1 Germany
- 12.7.2 U.K.
- 12.7.3 France
- 12.7.4 Italy
- 12.7.5 Spain
- 12.7.6 Russia
- 12.7.7 The Netherlands
- 12.7.8 Belgium
- 12.7.9 Turkey
- 12.7.10 Rest of Europe
- SECTION 13 - ASIA-PACIFIC IN-FLIGHT INTERNET MARKET
- 13.1 Asia-Pacific Summary
- 13.2 Market Attractive Index
- 13.3 Asia-Pacific In-flight Internet Market, by Technology (2019-2032)
- 13.4 Asia-Pacific In-flight Internet Market, by End Use (2019-2032)
- 13.5 Asia-Pacific In-flight Internet Market, by Service Model (2019-2032)
- 13.6 Asia-Pacific In-flight Internet Market, by Connectivity Speed (2019-2032)
- 13.7 Asia-Pacific In-flight Internet Market, by Country (2019-2032)
- 13.7.1 China
- 13.7.2 India
- 13.7.3 Japan
- 13.7.4 South Korea
- 13.7.5 Singapore
- 13.7.6 Malaysia
- 13.7.7 Australia
- 13.7.8 Thailand
- 13.7.9 Philippines
- 13.7.10 Rest of Asia-Pacific
- SECTION 14 - SOUTH AMERICA IN-FLIGHT INTERNET MARKET
- 14.1 South America Summary
- 14.2 Market Attractive Index
- 14.3 South America In-flight Internet Market, by Technology (2019-2032)
- 14.4 South America In-flight Internet Market, by End Use (2019-2032)
- 14.5 South America In-flight Internet Market, by Service Model (2019-2032)
- 14.6 South America In-flight Internet Market, by Connectivity Speed (2019-2032)
- 14.7 South America In-flight Internet Market, by Country (2019-2032)
- 14.7.1 Brazil
- 14.7.2 Argentina
- 14.7.3 Chile
- 14.7.4 Colombia
- 14.7.5 Rest of South America
- SECTION 15 - MIDDLE EAST AND AFRICA IN-FLIGHT INTERNET MARKET
- 15.1 Middle East and Africa Summary
- 15.2 Market Attractive Index
- 15.3 Middle East and Africa In-flight Internet Market, by Technology (2019-2032)
- 15.4 Middle East and Africa In-flight Internet Market, by End Use (2019-2032)
- 15.5 Middle East and Africa In-flight Internet Market, by Service Model (2019-2032)
- 15.6 Middle East and Africa In-flight Internet Market, by Connectivity Speed (2019-2032)
- 15.7 Middle East and Africa In-flight Internet Market, by Country (2019-2032)
- 15.7.1 Kingdom of Saudi Arabia
- 15.7.2 South Africa
- 15.7.3 U.A.E.
- 15.7.4 Egypt
- 15.7.5 Rest of Middle East and Africa
- SECTION 16 - COMPANY SHARE ANALYSIS
- 16.1 Global In-flight Internet Market, Company Share Analysis
- 16.2 North America In-flight Internet Market, Company Share Analysis
- 16.3 Europe In-flight Internet Market, Company Share Analysis
- 16.4 Asia-Pacific In-flight Internet Market, Company Share Analysis
- SECTION 17 - COMPANY PROFILES
- 17.1 Gogo
- 17.1.1 Company Snapshot
- 17.1.2 Financial Overview
- 17.1.3 Product Portfolio
- 17.1.4 Recent Developments
- 17.2 Panasonic Avionics
- 17.2.1 Company Snapshot
- 17.2.2 Financial Overview
- 17.2.3 Product Portfolio
- 17.2.4 Recent Developments
- 17.3 Viasat
- 17.3.1 Company Snapshot
- 17.3.2 Financial Overview
- 17.3.3 Product Portfolio
- 17.3.4 Recent Developments
- 17.4 Inmarsat
- 17.4.1 Company Snapshot
- 17.4.2 Financial Overview
- 17.4.3 Product Portfolio
- 17.4.4 Recent Developments
- 17.5 Thales Group
- 17.5.1 Company Snapshot
- 17.5.2 Financial Overview
- 17.5.3 Product Portfolio
- 17.5.4 Recent Developments
- 17.6 Honeywell Aerospace
- 17.6.1 Company Snapshot
- 17.6.2 Financial Overview
- 17.6.3 Product Portfolio
- 17.6.4 Recent Developments
- 17.7 Thikom Solutions Inc.
- 17.7.1 Company Snapshot
- 17.7.2 Financial Overview
- 17.7.3 Product Portfolio
- 17.7.4 Recent Developments
- 17.8 Kymeta Corporation
- 17.8.1 Company Snapshot
- 17.8.2 Financial Overview
- 17.8.3 Product Portfolio
- 17.8.4 Recent Developments
- 17.9 Global Eagle Entertainment
- 17.9.1 Company Snapshot
- 17.9.2 Financial Overview
- 17.9.3 Product Portfolio
- 17.9.4 Recent Developments
- 17.10 EchoStar Corporation
- 17.10.1 Company Snapshot
- 17.10.2 Financial Overview
- 17.10.3 Product Portfolio
- 17.10.4 Recent Developments
- SECTION 18 - RELATED REPORTS
- SECTION 19 - DISCLAIMER
RESEARCH METHODOLOGY
RESEARCH AND DATA COLLECTION
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.