세계의 항공 분석 시장 규모 : 용도별, 업무 기능별, 최종사용자별, 지역별 범위 및 예측

Aviation Analytics Market Size and Forecast

Aviation Analytics Market size was valued at USD 2.34 Billion in 2024 and is projected to reach USD 5.55 Billion by 2032, growing at a CAGR of 11.40% from 2026 to 2032.

Aviation analytics is the systematic collection, analysis, and interpretation of data in the aviation sector to improve operational efficiency, safety, and passenger experience. This procedure collects a variety of data types such as flight operations, maintenance records, fuel usage, and customer feedback.

It plays an important role in improving operational efficiency, safety, and passenger experience in the airline business. One of the most common applications of aviation analytics is flight operations management. Airlines can enhance scheduling, cut fuel usage, and optimize aircraft routes by analyzing massive volumes of data.

They are projected to become increasingly popular in the future owing to technological developments and increased data availability. With the rise of big data and artificial intelligence, airlines will be able to use real-time data to make more precise decisions. For example, adding machine learning algorithms can improve predictive maintenance models allowing airlines to anticipate and minimize potential problems before they disrupt operations.

Global Aviation Analytics Market Dynamics

The key market dynamics that are shaping the global aviation analytics market include:

Key Market Drivers:

Data-driven Decision-Making: The growing volume of data collected in aviation, from ticket sales and flight operations to passenger feedback has driven up the need for analytics. Airlines and airports use data analytics to understand customer behavior, operational performance, and market trends.

Operational Efficiency and Cost Reduction: Airlines are under constant pressure to save operational expenses while maintaining excellent service standards. Aviation analytics solutions help firms streamline operations by detecting inefficiencies and possible savings. For example, predictive maintenance analytics can detect equipment problems before they occur lowering downtime and maintenance costs.

Enhancing Customer Experience: As competition heats up, airlines are working on improving customer satisfaction to retain and recruit passengers. Aviation analytics gives useful information about client preferences allowing airlines to modify their services accordingly.

Key Challenges:

Data Privacy and Security: The aviation sector creates a large volume of sensitive data such as passenger information, flight data, and operational metrics. Ensuring the privacy and security of this data is a significant challenge, especially given growing worries about data breaches and cyberattacks. Airlines and aviation corporations must invest in strong cybersecurity measures and adhere to severe data protection requirements such as the General Data Protection Regulation (GDPR) in Europe.

Legacy System Integration: Many aviation organizations use legacy systems that may not be compatible with modern analytics technologies. Integrating these outdated systems with modern analytics platforms can be difficult and expensive. This difficulty can lead to data silos in which valuable insights remain imprisoned in various systems preventing thorough data analysis.

Skill Gap and Talent Shortage: Demand for trained people in data analytics, data science, and aviation technology exceeds supply. There is a large skill gap in the business making it difficult for airlines to locate and keep employees capable of reading complicated data sets and extracting relevant insights. This shortage may impede the implementation of analytics solutions and hamper the industry's overall ability to develop.

Key Trends:

Artificial Intelligence and Machine Learning Integration: The integration of artificial intelligence (AI) and machine learning (ML) into aviation analytics is transforming data processing and decision-making. Airlines and airports use artificial intelligence and machine learning to analyze massive volumes of operational data, improve predictive maintenance, optimize flight schedules, and improve customer experience.

Data-Driven Decision Making: The aviation sector is rapidly adopting data-driven decision-making practices. Airlines use advanced analytics to evaluate a variety of operational data including fuel use, flight delays, and passenger behavior. Companies can use data analytics to make more informed decisions that improve productivity, optimize resource allocation, and, eventually, increase profitability.

Enhanced Passenger Experience: Aviation analytics is vital in improving the entire passenger experience. Airlines can use customer data to personalize services anticipate passenger demands, and improve customer satisfaction. Advanced analytics methods are utilized to forecast passenger preferences, optimize seating arrangements, and improve boarding procedures.

Global Aviation Analytics Market Regional Analysis

Here is a more detailed regional analysis of the global aviation analytics market:

North America:

The North American aviation analytics market is primarily driven by the growing use of big data and AI technologies in the aviation industry with an emphasis on improving operational efficiency and passenger experience. This supremacy stems from the region's superior technological infrastructure and the presence of major airlines and aviation technology companies. The North American aviation analytics industry is being driven by increasing air traffic and the demand for real-time data analysis.

According to the Federal Aviation Administration (FAA), US commercial airlines transported 811 million passengers in 2019, with forecasts of 1.31 billion by 2039. This significant increase demands advanced analytics to ensure effective operations. The United States Bureau of Transportation Statistics estimated a 60% decline in air passenger traffic in 2020 compared to 2019, underscoring the importance of data-driven decision-making in unpredictable times.

According to the International Air Transport Association, implementing analytics-driven fuel management systems can result in fuel savings of 2-3%. Furthermore, the FAA's NextGen program which intends to upgrade the National Airspace System is estimated to generate USD 160.6 Billion in benefits by 2030 boosting future expenditures in aviation analytics.

Asia Pacific:

The Asia Pacific region has the highest growth in the aviation analytics market owing to rapid air traffic expansion and increased investments in aviation infrastructure. Rising disposable incomes, a burgeoning middle class, and the proliferation of low-cost carriers in emerging nations such as China and India have all contributed to this acceleration in growth. According to the International Air Transport Association (IATA), the Asia-Pacific region is forecast to experience the fastest rise in air passenger traffic, with a 5.4% yearly increase from 2019 to 2039.

The Civil Aviation Administration of China (CAAC) estimated that China's civil aviation industry handled 660 million passenger trips in 2019, up 7.9% over the previous year. India, another major player, saw domestic air passenger traffic increase by 11.4% in 2019, according to the Directorate General of Civil Aviation. The fast expansion of airport infrastructure is also driving up demand for aviation analytics. According to the Airports Council International (ACI), Asia-Pacific airports spent USD 36.6 Billion on capital improvements in 2019. These advancements are creating a considerable need for sophisticated analytics solutions to streamline operations, improve passenger experience, and strengthen safety measures.

Global Aviation Analytics Market: Segmentation Analysis

The Global Aviation Analytics Market is segmented based on Business Function, Application, End-User, and Geography.

Aviation Analytics Market, By Business Function

• Supply Chain
• Sales & Marketing
• Operations
• Maintenance & Repair
• Finance

Based on the Business Function, the Global Aviation Analytics Market is bifurcated into Supply Chain, Sales & Marketing, Operations, Maintenance & Repair, and Finance. In the global aviation analytics market, operations emerge as the dominant business function. This is primarily due to the critical need for efficiency and safety in airline operations. Aviation analytics enhances flight planning, route optimization, and resource allocation allowing airlines to maximize operational performance and minimize costs. Moreover, real-time data analysis facilitates proactive decision-making helping to address potential issues before they escalate. With growing competition and the push for enhanced customer experiences, optimizing operations has become paramount.

Aviation Analytics Market, By Application

• Revenue Management
• Navigation Services
• Inventory Management
• Fuel Management
• Flight Risk Management
• Customer Analytics

Based on the Application, the Global Aviation Analytics Market is bifurcated into Revenue Management, Navigation Services, Inventory Management, Fuel Management, Flight Risk Management, and Customer Analytics. In the global aviation analytics market, revenue management emerges as the dominant application. This is primarily due to the industry's focus on maximizing profitability through dynamic pricing strategies and demand forecasting. Airlines utilize advanced analytics to optimize ticket pricing based on various factors such as market demand, competitor pricing, and consumer behavior enabling them to adjust fares in real time and enhance revenue per available seat mile (RASM).

Aviation Analytics Market, By End-User

• Airlines
• Airports

Based on the End-User, the Global Aviation Analytics Market is bifurcated into Airlines and Airports. In the global aviation analytics market, airlines are the dominant end-user segment. This dominance is primarily due to airlines' need for data-driven insights to enhance operational efficiency, improve customer experience, and optimize pricing strategies. Airlines leverage analytics for various purposes including route optimization, fuel management, and predictive maintenance which are crucial for cost reduction and performance improvement.

Aviation Analytics Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the World

Based on Geography, the Global Aviation Analytics Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. North America dominates the global aviation analytics market due to several key factors. The presence of advanced technology firms and significant funding for research and development further accelerate innovation in analytics solutions. Additionally, the regulatory environment in North America encourages the adoption of data-driven decision-making in aviation leading to increased efficiency and compliance.

Key Players

The "Global Aviation Analytics Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are SAS Institute, Inc., General Electric Company (GE Aviation), The Boeing Company, SAP SE, Oracle Corporation, Honeywell International, Inc., Collins Aerospace (Raytheon Technologies Corporation), Mu Sigma, Inc., and Teradata Corporation.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Global Aviation Analytics Market Key Developments

• In July 2022, General Electric inked a memorandum of understanding with Teradata and Microsoft to collaborate on a carbon-reduction strategy. The firms will collaborate on a product that will give pilots with equipment for monitoring pollutants, reporting them, and taking quick action to reduce them.
• In July 2022, Malaysia Airlines extended its agreement with SITA to complete an upgrade that provides safe, fast, and reliable network connectivity between its Kuala Lumpur hub and its international operations. In addition, SITA will assist passengers in lowering the cost of connectivity and improving service quality to access new services.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL AVIATION ANALYTICS MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL AVIATION ANALYTICS MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL AVIATION ANALYTICS MARKET, BY APPLICATION

• 5.1 Overview
• 5.2 Revenue Management
• 5.3 Navigation Services
• 5.4 Inventory Management
• 5.5 Fuel Management
• 5.6 Flight Risk Management
• 5.7 Customer Analytics

6 GLOBAL AVIATION ANALYTICS MARKET, BY BUSINESS FUNCTION

• 6.1 Overview
• 6.2 Supply Chain
• 6.3 Sales & Marketing
• 6.4 Operations
• 6.5 Maintenance & Repair
• 6.6 Finance

7 GLOBAL AVIATION ANALYTICS MARKET, BY END-USER

• 7.1 Overview
• 7.2 Airlines
• 7.3 Airports

8 GLOBAL AVIATION ANALYTICS MARKET, BY GEOGRAPHY

• 8.1 Overview
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 U.K.
  • 8.3.3 France
  • 8.3.4 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 India
  • 8.4.4 Rest of Asia Pacific
• 8.5 Rest of the World
  • 8.5.1 Latin America
  • 8.5.2 Middle East & Africa

9 GLOBAL AVIATION ANALYTICS MARKET COMPETITIVE LANDSCAPE

• 9.1 Overview
• 9.2 Company Market Ranking
• 9.3 Key Development Strategies

10 COMPANY PROFILES

• 10.1 General Electric Company (GE Aviation)
  • 10.1.1 Overview
  • 10.1.2 Financial Performance
  • 10.1.3 Product Outlook
  • 10.1.4 Key Developments
• 10.2 The Boeing Company
  • 10.2.1 Overview
  • 10.2.2 Financial Performance
  • 10.2.3 Product Outlook
  • 10.2.4 Key Developments
• 10.3 SAS Institute
  • 10.3.1 Overview
  • 10.3.2 Financial Performance
  • 10.3.3 Product Outlook
  • 10.3.4 Key Developments
• 10.4 SAP SE
  • 10.4.1 Overview
  • 10.4.2 Financial Performance
  • 10.4.3 Product Outlook
  • 10.4.4 Key Developments
• 10.5 Oracle Corporation
  • 10.5.1 Overview
  • 10.5.2 Financial Performance
  • 10.5.3 Product Outlook
  • 10.5.4 Key Developments
• 10.6 Honeywell International, Inc.
  • 10.6.1 Overview
  • 10.6.2 Financial Performance
  • 10.6.3 Product Outlook
  • 10.6.4 Key Developments
• 10.7 Collins Aerospace (Raytheon Technologies Corporation)
  • 10.7.1 Overview
  • 10.7.2 Financial Performance
  • 10.7.3 Product Outlook
  • 10.7.4 Key Developments
• 10.8 Mu Sigma, Inc.
  • 10.8.1 Overview
  • 10.8.2 Financial Performance
  • 10.8.3 Product Outlook
  • 10.8.4 Key Developments
• 10.9 Teradata Corporation
  • 10.9.1 Overview
  • 10.9.2 Financial Performance
  • 10.9.3 Product Outlook
  • 10.9.4 Key Developments
• 10.10 MU-Sigma
  • 10.10.1 Overview
  • 10.10.2 Financial Performance
  • 10.10.3 Product Outlook
  • 10.10.4 Key Developments

11 Appendix

• 11.1 Related Research