The aviation analytics market is anticipated to flourish at a healthy CAGR of 9.7% between 2023 and 2033. The market is expected to hold a market share of US$ 7.90 billion by 2033 while the market is likely to be valued at US$ 3.12 billion in 2023.
Aviation analytics is adopted by most enterprises as these solutions facilitate them to improve their operational performance, profitability, and maintenance. Also, aviation analytics helps enterprises to develop an analytical resolution to cater to future demands such as the needs of the customers which might also help enterprises to maximize their operating revenue.
Aviation analytics solutions are used across the aviation industry for various applications such as fuel management, customer analytics, revenue management, and risk management. Further, aviation analytics solutions help enterprises to measure, monitor, and analyze their business goals, risk, and future growth of the enterprise. All these factors are contributing to the growth of rapid integration of the aviation analytics market.
Attributes
Details
Aviation Analytics Market CAGR (2023 to 2033)
9.7%
Aviation Analytics Market Size (2023)
US$ 3.12 billion
Aviation Analytics Market Size (2033)
US$ 7.90 billion
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Which Drivers underpin Aviation Analytics Industry Expansion?
Presently, the vendors of the aviation analytics market are focusing on intelligence and analytics solutions to boost the profitability of their business. This, in turn, is driving the demand for the aviation analytics market. In addition, the growing emphasis on jet fuel management is another factor driving the demand in the aviation analytics market.
The increasing demand for real-time analytics in the aviation industry is positively influencing the demand for aviation analytics. Additionally, increasing centricity in the aviation industry is also one of the major factors contributing to the growth of the aviation analytics market.
Which Factors are Limiting the Growth of the Aviation Analytics Market?
The key challenge faced by the vendors in the aviation analytics market is the dearth of availability of suitable analytical skills. In addition, on certain days, more than two lakh flights operate, making data collection a challenge for the aviation analytics industry. The number of flights that operate is more than the speed of data collection, making it difficult for aviation analytics to use the data for future purposes.
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Country-wise Insights
Countries
Revenue Share % (2022)
The United States
18.1%
Germany
8.2%
Japan
5.4%
Australia
4.1%
North America
30.2%
Europe
21.2%
Countries
CAGR % (2023 to 2033)
China
8.3%
India
10.2%
The United Kingdom
7.3%
Does North America Hold a Significant Position in the Global Aviation Analytics Market?
Demand for Improving Operational Performance Creating Significant Opportunities
Among various regions, the aviation analytics market in North America is expected to dominate during the forecast period owing to the high adoption of industrial aviation analytics by medium and large size enterprises to improve their operational performance. Moreover, the strong presence of aircraft operators along with key manufacturers of aviation analytics is propelling the integration of the same. Thus, owing to the reasons mentioned above, North America held a market share of 30.25% in 2022.
How is the Growth of Europe’s Aviation Analytics Market Likely to Unfold?
Technological Advancements Driving Growth
Countries such as Germany and the United Kingdom are notably contributing to the growth of the aviation analytics market. This is owing to the technological advancements in the aviation analytics sector. Moreover, the increase in travel and tourism along with the modernization of the aviation sector is bolstering the demand for aviation analytics in the region.
The use of artificial intelligence and the Internet of Things has annihilated the requirement for human intervention, making aviation analytics an easy task for companies. Europe held a market share of 21.2% in 2022.
Category-wise Analysis
Category
By End User Type
Leading Segment
Airlines
Market Share (2022)
65.4%
Category
By Verticals Type
Leading Segment
Operations
Market Share (2022)
49.3%
Based on end-user type, the airlines segment leads the market as it held a market share of 65.4% in 2022. The vertical category is dominated by the operation segment as it held a market share of 49.3% in 2022.
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The Start-up Ecosystem: How Key Players are Opening Frontiers for Future Growth?
Founded in 2011, SmartSky Networks (formerly known as Jet Pool Ventures) is a USA-based firm that provides LTE-based in-flight connectivity solutions. The firm offers a 4G air-to-ground communication system with patented beamforming technology. It claims to provide 10 times the speed and capacity using 60 MHz of spectrum. To date, the firm has received funding of US$ 365 million.
Launched in 2013, Flyr is based out of San Francisco (USA) and offers tools to predict and manage the price volatility of travel products. Offerings include FareKeep, SmartRate, and TripPay which help travelers with in-flight or hotel bookings. It offers price prediction, optimization, price, demand, price elasticity forecasting, and travel finance solutions. The company has received overall funding of US$ 189 million since the date of its foundation.
Competitive Analysis and Recent Developments:
Pon. Bike purchased the Dorel Sports branch of Dorel Industries in October 2021 as part of a plan to develop a portfolio of high-end e-bikes that might cover all e-bike segment categories.
In Bethesda, Maryland, Pedego launched a new facility in July 2021 that provides a comprehensive selection of e-bike sales, rentals, services, and accessories.
David's World Cycle was acquired by Trek Bicycle Corporation in April 2022. To expand its dealer network and support its expansion strategy, Trek Bicycle Corporation bought 21 retail chains.
Booz Allen Hamilton has introduced the integration of AI and analytics to solve airline needs through aviation data and flight information.
General Electric’s GE Digital has added its flight data & analytics services that work on asset data with flight analytics software. The brand has also launched the aviation insight portal for better understanding.
Key Players Profiled in the Global Market
IBM Corporation
Oracle Corporation
SAP SE
General Electric
Aviation Analytics Ltd.
SAS Institute
Ramco International
Mu-Sigma
Booz Allen Hamilton
Key Segments Covered
By End User:
Airlines
Airports
By Verticals:
Finance
Operations
Sales & Marketing
Maintenance & Repair
Supply Chain
Key Regions Covered
North America
The United States
Canada
Latin America
Brazil
Mexico
Rest of Latin America
Europe
Germany
The United Kingdom
France
Spain
Russia
Rest of Europe
Japan
Asia Pacific Excluding Japan
China
India
Malaysia
Singapore
Australia
Rest of Asia Pacific Excluding Japan (APEJ)
The Middle East and Africa
GCC Countries
Israel
South Africa
The Middle East and Africa (MEA)
Frequently Asked Questions
What is the Aviation Analytics Market CAGR for 2033?
The Aviation Analytics Market CAGR for 2033 is 9.7%.
How Big is the Aviation Analytics Market?
The market is valued at US$ 3.12 billion in 2023.
What is the Forecast for Aviation Analytics Market by 2033?
The forecasted market value of the market for 2033 is US$ 7.90 billion.
What is the Latest Trend in the Aviation Analytics Market?
The latest trends in the Aviation Analytics Market include the automation of tasks using AI, enhanced decision-making, anomaly detection, predictive flight trend analysis using machine learning, optimization of operations using big data, and secure aviation record-keeping through blockchain technology.
Who are the Key Aviation Analytics Market Players?
Key market players in the Aviation Analytics Market are IBM Corporation, SAP SE, and Oracle Corporation.
Table of Content
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033
5.3.1. Airlines
5.3.2. Airports
5.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033
6. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Verticals
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Verticals, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Verticals, 2023 to 2033
6.3.1. Finance
6.3.2. Operations
6.3.3. Sales & Marketing
6.3.4. Maintenance & Repair
6.3.5. Supply Chain
6.4. Y-o-Y Growth Trend Analysis By Verticals, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Verticals, 2023 to 2033
7. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
7.3.1. North America
7.3.2. Latin America
7.3.3. Western Europe
7.3.4. Eastern Europe
7.3.5. South Asia and Pacific
7.3.6. East Asia
7.3.7. Middle East and Africa
7.4. Market Attractiveness Analysis By Region
8. North America Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
8.2.1. By Country
8.2.1.1. U.S.
8.2.1.2. Canada
8.2.2. By End User
8.2.3. By Verticals
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By End User
8.3.3. By Verticals
8.4. Key Takeaways
9. Latin America Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By End User
9.2.3. By Verticals
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By End User
9.3.3. By Verticals
9.4. Key Takeaways
10. Western Europe Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. U.K.
10.2.1.3. France
10.2.1.4. Spain
10.2.1.5. Italy
10.2.1.6. Rest of Western Europe
10.2.2. By End User
10.2.3. By Verticals
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By End User
10.3.3. By Verticals
10.4. Key Takeaways
11. Eastern Europe Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Poland
11.2.1.2. Russia
11.2.1.3. Czech Republic
11.2.1.4. Romania
11.2.1.5. Rest of Eastern Europe
11.2.2. By End User
11.2.3. By Verticals
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By End User
11.3.3. By Verticals
11.4. Key Takeaways
12. South Asia and Pacific Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Bangladesh
12.2.1.3. Australia
12.2.1.4. New Zealand
12.2.1.5. Rest of South Asia and Pacific
12.2.2. By End User
12.2.3. By Verticals
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By End User
12.3.3. By Verticals
12.4. Key Takeaways
13. East Asia Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By End User
13.2.3. By Verticals
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By End User
13.3.3. By Verticals
13.4. Key Takeaways
14. Middle East and Africa Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of MEA
14.2.2. By End User
14.2.3. By Verticals
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By End User
14.3.3. By Verticals
14.4. Key Takeaways
15. Key Countries Analysis
15.1. USA
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2022
15.1.2.1. By End User
15.1.2.2. By Verticals
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2022
15.2.2.1. By End User
15.2.2.2. By Verticals
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2022
15.3.2.1. By End User
15.3.2.2. By Verticals
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2022
15.4.2.1. By End User
15.4.2.2. By Verticals
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2022
15.5.2.1. By End User
15.5.2.2. By Verticals
15.6. UK
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2022
15.6.2.1. By End User
15.6.2.2. By Verticals
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2022
15.7.2.1. By End User
15.7.2.2. By Verticals
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2022
15.8.2.1. By End User
15.8.2.2. By Verticals
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2022
15.9.2.1. By End User
15.9.2.2. By Verticals
15.10. Poland
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2022
15.10.2.1. By End User
15.10.2.2. By Verticals
15.11. Russia
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2022
15.11.2.1. By End User
15.11.2.2. By Verticals
15.12. Czech Republic
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2022
15.12.2.1. By End User
15.12.2.2. By Verticals
15.13. Romania
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2022
15.13.2.1. By End User
15.13.2.2. By Verticals
15.14. India
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2022
15.14.2.1. By End User
15.14.2.2. By Verticals
15.15. Bangladesh
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2022
15.15.2.1. By End User
15.15.2.2. By Verticals
15.16. Australia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2022
15.16.2.1. By End User
15.16.2.2. By Verticals
15.17. New Zealand
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2022
15.17.2.1. By End User
15.17.2.2. By Verticals
15.18. China
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2022
15.18.2.1. By End User
15.18.2.2. By Verticals
15.19. Japan
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2022
15.19.2.1. By End User
15.19.2.2. By Verticals
15.20. South Korea
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2022
15.20.2.1. By End User
15.20.2.2. By Verticals
15.21. GCC Countries
15.21.1. Pricing Analysis
15.21.2. Market Share Analysis, 2022
15.21.2.1. By End User
15.21.2.2. By Verticals
15.22. South Africa
15.22.1. Pricing Analysis
15.22.2. Market Share Analysis, 2022
15.22.2.1. By End User
15.22.2.2. By Verticals
15.23. Israel
15.23.1. Pricing Analysis
15.23.2. Market Share Analysis, 2022
15.23.2.1. By End User
15.23.2.2. By Verticals
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By End User
16.3.3. By Verticals
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. IBM Corporation
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. Oracle Corporation
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. SAP SE
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. General Electric
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. Aviation Analytics Ltd.
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. SAS Institute
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. Ramco International
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. Mu-Sigma
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. Booz Allen Hamilton
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. IGT Solutions Pvt. Ltd.
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
18. Assumptions & Acronyms Used19. Research Methodology
