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Cloud as a Data Accelerator in Aviation Market

Cloud as a Data Accelerator in Aviation Market Size, Share & Trends Analysis Report, By Type (Hardware, Software, and Service), By Application (Virtual Assistants and Smart Maintenance), By Region, Forecasts, 2024-2031

Report ID : 2475 | Published : 2024-05-15 | Pages: 180 | Format: PDF/EXCEL

Cloud as a Data Accelerator in Aviation Market Size is predicted to develop at a 14.2% CAGR during the forecast period for 2024-2031.

Cloud as a Data Accelerator in Aviation Market info

Cloud as a data accelerator in aviation describes the implementation of AI-based technologies and technology in the aviation sector. Aviation AI comprises a wide range of AI approaches used to improve operations, safety, efficiency, and customer experience in the aviation industry. With the help of integrated cloud-based data-sharing technologies, enormous amounts of aviation-related data may be centrally handled and stored. Airline companies, airports, and aircraft manufacturers can all benefit from this because it streamlines their data management processes.

On top of that, cloud-based solutions make it possible to retrieve important data instantaneously from any internet-connected location. Aviation companies may improve operational effectiveness and safety by making smarter decisions faster using current information. The broad adoption of cloud-based data-sharing platforms and the dramatic increase in demand for predictive maintenance solutions are driving the market's increase. Furthermore, an increasing focus on security and regulatory compliance, coupled with the widespread use of artificial intelligence (AI) technology, is anticipated to fuel market expansion.

However, the market growth is hampered by the high-cost criteria for the safety and health of the Cloud as a data accelerator in the aviation market and the product's inability to prevent fog in environments with dramatic temperature fluctuations or Cloud as a data accelerator in aviation, because the budget is a key consideration when making plans to buy and implement any digital aviation software or solution. Given the ever-evolving nature of software and hardware innovations, it is essential to regularly update software to ensure compatibility with certain platforms and applications.

Additional challenges that could limit growth in this market are the high maintenance cost, the difficulty of upgrading and integrating systems across platforms, and the complexity of these systems overall. Because of the COVID-19 epidemic, airports, airlines, and their partners were greatly impacted. Throughout the aviation value chain, the pandemic has wreaked havoc on finances, particularly for airlines. Aside from freight forwarders and cargo airlines, every subsector in the industry experienced significant losses.

Competitive Landscape

Some of the major key players in the cloud, as a data accelerator in the aviation market are

  • Kittyhawk
  • Lockheed Martin
  • Iris Automation
  • Intel
  • IBM
  • GE Aerospace
  • Garmin
  • Boeing
  • Amazon
  • Airbus
  • Other Prominent Players

Market Segmentation:

The cloud, as a data accelerator in the aviation market, is segmented based on type and application. Based on type, the market is segmented into hardware, software, and service. By application, the market is segmented into virtual assistants and smart maintenance.

Based on the Type, the Software Segment Dominate the Market

The software cloud as a data accelerator in the aviation market is expected to hold a major global market share in 2023. Aviation organizations are increasingly using data analytics software to help them make sense of the vast quantities of aviation data, including flight records, maintenance logs, passenger information, and operational indications. With the help of cloud-based data acceleration solutions, aviation stakeholders are empowered to make data-driven choices, optimize operations, and boost performance.

Smart Maintenance Segment to Witness Growth at a Rapid Rate

The smart maintenance industry makes up the bulk of acrylic acid ester usage because, with the help of smart maintenance solutions hosted in the Cloud, technicians can remotely diagnose and troubleshoot aircraft systems, keeping an eye on systems from anywhere in the world. Teams performing maintenance on airplanes can access diagnostic data in real-time, maintenance records, and technical documentation using visualization and analytics tools hosted in the Cloud, especially in countries like the US, Germany, the UK, China, and India.

In the Region, the North America Holds a Significant Revenue Share

The North American cloud, as a data accelerator in the aviation market, is expected to register the highest market share in revenue in the near future. This can be attributed to the fact that there has been a surge in passenger air traffic and well-known original equipment manufacturers. In addition, Asia Pacific is projected to grow rapidly in the global Cloud as a data accelerator in the aviation market because more people are living in cities, have more disposable income, and travel more for both work and pleasure.

Recent Developments:

  • In March 2024, IBM Consulting and Microsoft launched their first joint venture, the IBM-Microsoft Experience Zone, in Bangalore, India. In the Experience Zone, clients can learn more about how Microsoft's products and technologies, such as hybrid cloud and generative AI, can aid in their business transformation efforts and provide them with a competitive edge.
  • In February 2024, GE Hitachi Nuclear Energy (GEH) was thrilled to learn that it had been granted an FNEF grant of £33.6 million by the United Kingdom's Energy Security Agency and Zero Net Energy (DESNZ). The government of the United Kingdom is targeting 24 GW of nuclear power as a means to achieve net zero energy consumption and security.

Global Cloud as a Data Accelerator in Aviation Market Report Scope

Report Attribute

Specifications

Growth Rate CAGR

CAGR of 14.2% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Type, By Application and By Region

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; Southeast Asia; South Korea

Competitive Landscape

Airbus, Amazon, Boeing, Garmin, GE, IBM, Intel, Iris Automation, Kittyhawk, and Lockheed Marti.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Cloud as a Data Accelerator in Aviation Market Snapshot

Chapter 4. Global Cloud as a Data Accelerator in Aviation 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 Type Estimates & Trend Analysis

5.1. by Type & Market Share, 2019 & 2031

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:

5.2.1. Hardware

5.2.2. Software

5.2.3. Service

Chapter 6. Market Segmentation 2: by Application Estimates & Trend Analysis

6.1. by Application & Market Share, 2019 & 2031

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

6.2.1. Virtual Assistants

6.2.2. Smart Maintenance

Chapter 7. Cloud as a Data Accelerator in Aviation Market Segmentation 3: Regional Estimates & Trend Analysis

7.1. North America

7.1.1. North America Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by Type, 2019-2031

7.1.2. North America Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

7.1.3. North America Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

7.2. Europe

7.2.1. Europe Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by Type, 2019-2031

7.2.2. Europe Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

7.2.3. Europe Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

7.3. Asia Pacific

7.3.1. Asia Pacific Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by Type, 2019-2031

7.3.2. Asia-Pacific Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

7.3.3. Asia Pacific Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

7.4. Latin America

7.4.1. Latin America Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by Type, 2019-2031

7.4.2. Latin America Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

7.4.3. Latin America Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

7.5. Middle East & Africa

7.5.1. Middle East & Africa Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by Type, 2019-2031

7.5.2. Middle East & Africa Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

7.5.3. Middle East & Africa Cloud as a Data Accelerator in Aviation Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

Chapter 8. Competitive Landscape

8.1. Major Mergers and Acquisitions/Strategic Alliances

8.2. Company Profiles

8.2.1.  Kittyhawk

8.2.2. Lockheed Martin

8.2.3.  Iris Automation

8.2.4.  Intel

8.2.5.  IBM

8.2.6.  GE Aerospace

8.2.7.  Garmin

8.2.8.  Boeing

8.2.9.  Amazon

8.2.10. Airbus

8.2.11.  among others

Segmentation of Cloud as a Data Accelerator in Aviation Market-

Global Cloud as a Data Accelerator in Aviation Market- By Type

  • Hardware
  • Software
  • Service

Cloud as a Data Accelerator in Aviation Market seg

Global Cloud as a Data Accelerator in Aviation Market- By Application

  • Virtual Assistants
  • Smart Maintenance

Global Cloud as a Data Accelerator in Aviation 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
  • Southeast 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

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Frequently Asked Questions

What is the Cloud as a Data Accelerator in Aviation Market Growth?

Airbus, Amazon, Boeing, Garmin, GE, IBM, Intel, Iris Automation, Kittyhawk, and Lockheed Marti.

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