Aviation Cloud Market Size, Share & Trends Analysis Report By Service Model (IaaS, PaaS, SaaS), Deployment Type (Public, Private, Hybrid), End User (Airlines, Airports, OEMs, MROs), Application (Flight Operations, Passenger Service, Supply Chain Management), By Region, And By Segment Forecasts, 2024-2031

Report Id: 2656 Pages: 170 Last Updated: 22 October 2024 Format: PDF / PPT / Excel / Power BI
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Segmentation of Aviation Cloud Market-

Aviation Cloud Market By Deployment Type-

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

aviation cloud

Aviation Cloud Market By Service Model-

  • IaaS
  • PaaS
  • SaaS

Aviation Cloud Market By End User-

  • Airports
  • Airlines
  • OEMs
  • MROs

Aviation Cloud Market By Application-

  • Flight Operations
  • Passenger Service
  • Maintenance & Management Systems
  • Supply Chain Management
  • Data Analytics And Business Intelligence
  • Cargo Management & Baggage Handling
  • Others

Aviation Cloud Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Aviation Cloud Market Snapshot

Chapter 4. Global Aviation Cloud Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Deployment Type Estimates & Trend Analysis
5.1. by Deployment Type& Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Deployment Type:

5.2.1. Public Cloud
5.2.2. Private Cloud
5.2.3. Hybrid Cloud

Chapter 6. Market Segmentation 2: by Service Model Estimates & Trend Analysis
6.1. by Service Model & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Service Model:

6.2.1. IaaS
6.2.2. PaaS
6.2.3. SaaS

Chapter 7. Market Segmentation 3: by End User Estimates & Trend Analysis
7.1. by End User & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End User:

7.2.1. Airports
7.2.2. Airlines
7.2.3. OEMs
7.2.4. MROs

Chapter 8. Market Segmentation 4: by Application Estimates & Trend Analysis
8.1. by Application & Market Share, 2019 & 2031
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

8.2.1. Flight Operations
8.2.2. Passenger Service
8.2.3. Maintenance & Management Systems
8.2.4. Supply Chain Management
8.2.5. Data Analytics and Business Intelligence
8.2.6. Cargo Management & Baggage Handling
8.2.7. Others

Chapter 9. Aviation Cloud Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America
9.1.1. North America Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Deployment Type, 2024-2031
9.1.2. North America Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Service Model, 2024-2031
9.1.3. North America Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031
9.1.4. North America Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.1.5. North America Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.2. Europe
9.2.1. Europe Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Deployment Type, 2024-2031
9.2.2. Europe Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Service Model, 2024-2031
9.2.3. Europe Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031
9.2.4. Europe Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.2.5. Europe Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.3. Asia Pacific
9.3.1. Asia Pacific Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Deployment Type, 2024-2031
9.3.2. Asia Pacific Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Service Model, 2024-2031
9.3.3. Asia-Pacific Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031
9.3.4. Asia-Pacific Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.3.5. Asia Pacific Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.4. Latin America
9.4.1. Latin America Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Deployment Type, 2024-2031
9.4.2. Latin America Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Service Model, 2024-2031
9.4.3. Latin America Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031
9.4.4. Latin America Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.4.5. Latin America Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.5. Middle East & Africa
9.5.1. Middle East & Africa Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Deployment Type, 2024-2031
9.5.2. Middle East & Africa Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Service Model, 2024-2031
9.5.3. Middle East & Africa Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031
9.5.4. Middle East & Africa Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.5.5. Middle East & Africa Aviation Cloud Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles

10.2.1. Amazon Web Services, Inc.
10.2.2. Microsoft
10.2.3. Google
10.2.4. IBM
10.2.5. Oracle
10.2.6. SAP Se
10.2.7. Salesforce, Inc.
10.2.8. Adobe
10.2.9. DXC Technology Company
10.2.10. NEC Corporation
10.2.11. SITA
10.2.12. Wipro
10.2.13. Collins Aerospace
10.2.14. Amadeus It Group Sa
10.2.15. Lufthansa Group
10.2.16. Tav Technologies
10.2.17. A-Ice
10.2.18. Aerocloud Systems Ltd.
10.2.19. Infor
10.2.20. Cirrox
10.2.21. Veryon
10.2.22. Cloudflight
10.2.23. IFS
10.2.24. Epicor
10.2.25. Materna IPS Gmbh
10.2.26. Other Prominent Players

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

The Aviation Cloud Market Size is valued at USD 5.62 billion in 2023 and is predicted to reach USD 16.65 billion by the year 2031

The Aviation Cloud Market is expected to grow at a 14.7% CAGR during the forecast period for 2024-2031.

Amazon Web Services, Inc., Microsoft, Google, IBM, Oracle, and SAP SE. Amazon Web Services, Inc, Salesforce, Inc., Adobe, DXC Technology Company, NEC

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