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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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.
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.
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% |
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.
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 | 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 Aviation Analytics Market CAGR for 2033 is 9.7%.
The market is valued at US$ 3.12 billion in 2023.
The forecasted market value of the market for 2033 is US$ 7.90 billion.
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.
Key market players in the Aviation Analytics Market are IBM Corporation, SAP SE, and Oracle Corporation.
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 Used 19. Research Methodology
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