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市场调查报告书
商品编码
1732189

全球航空分析市场规模（按应用、业务功能、最终用户、地区、范围和预测）

Global Aviation Analytics Market Size By Application, By Business Function, By End-User, By Geographic Scope and Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

价格
简介目录

航空分析市场规模与预测

2024 年航空分析市场规模价值为 23.4 亿美元，预计到 2032 年将达到 55.5 亿美元，2026 年至 2032 年的复合年增长率为 11.40%。

航空分析是对航空领域数据进行系统性收集、分析和解释，以提高业务效率、安全性和乘客体验。此过程涉及收集各种类型的数据，包括飞行操作、维护记录、燃料使用情况和客户回馈。

它对提高航空业的营运效率、安全性和乘客体验起着至关重要的作用。航空分析最常见的应用之一是交通管理。透过分析大量数据，航空公司可以加强航班调度、减少燃料使用并优化飞机航线。

由于技术发展和数据可用性的提高，预计未来航空分析将变得越来越普遍。巨量资料和人工智慧的兴起可能会使航空公司能够利用即时数据做出更好的决策。例如，添加机器学习演算法可以改进预测性维护模型，使航空公司能够在潜在问题影响营运之前预测并尽量减少这些问题。

全球航空分析市场动态

影响全球航空分析市场的关键市场动态是：

关键市场驱动因素

数据主导决策：从机票销售和营运到乘客回馈，航空业收集的数据量不断增加，推动了分析的需求。航空公司和机场使用数据分析来了解客户行为、营运绩效和市场趋势。

提高业务效率并降低成本：航空公司面临着在维持优质服务标准的同时节省营运费用的持续压力。航空分析解决方案可帮助公司发现低效率和潜在节省，从而简化业务。例如，预测性维护分析可以在设备问题发生之前检测到它们，从而减少停机时间和维护成本。

改善客户体验：在竞争日益激烈的环境中，航空公司都在努力提高客户满意度以留住和保留乘客。航空分析提供了有关客户偏好的宝贵信息，使航空公司能够相应地修改其服务。

主要挑战

资料隐私和安全：航空业产生大量敏感数据，包括乘客资讯、航班数据和营运指标。确保这些资料的隐私和安全已成为一项重大挑战，尤其是在人们对资料外洩和网路攻击的担忧日益加剧的情况下。航空公司和航空相关企业必须投资强而有力的网路安全措施，并遵守严格的资料保护要求，例如欧洲的《一般资料保护规范》（GDPR）。

旧有系统整合：许多航空公司使用与现代分析技术不相容的旧有系统。将这些遗留系统与现代分析平台整合既困难又昂贵。这些挑战导致了数据孤岛，有价值的见解仍然锁定在不同的系统中，阻碍了彻底的数据分析。

技能差距和人才短缺：对接受过数据分析、资料科学和航空技术培训的人才的需求超过供应。航空公司发现很难吸引和留住能够阅读复杂数据集并提取相关见解的员工。这种短缺可能会阻碍分析解决方案的采用并抑制该行业的发展能力。

主要趋势：

人工智慧和机器学习的融合：人工智慧 (AI) 和机器学习 (ML) 与航空分析的融合正在改变资料处理和决策。航空公司和机场正在使用人工智慧和机器学习来分析大量营运数据、改善预测性维护、优化航班时刻表并增强客户体验。

数据主导决策：航空业正迅速采用数据驱动决策。航空公司使用先进的分析技术来评估各种营运数据，包括燃料使用、航班延误和乘客行为。数据分析使企业能够做出更明智的决策，从而提高生产力，优化资源配置，并最终提高盈利。

改善乘客体验：航空分析对于改善整体乘客体验至关重要。利用客户数据，航空公司可以预测乘客需求、个人化服务并提高客户满意度。进阶分析将用于预测乘客偏好、优化座位安排和改善登机流程。

目录

第一章 全球航空分析市场应用状况

  • 市场概览
  • 研究范围
  • 先决条件

第二章执行摘要

第三章：已验证的市场研究调查方法

  • 资料探勘
  • 验证
  • 第一手资料
  • 资料来源列表

第四章全球航空分析市场展望

  • 概述
  • 市场动态
    • 驱动程式
    • 限制因素
    • 机会
  • 波特五力模型
  • 价值链分析

第五章全球航空分析市场（按应用）

  • 概述
  • 收益管理
  • 导航服务
  • 库存管理
  • 燃料管理
  • 飞行风险管理
  • 客户分析

6. 全球航空分析市场（依业务功能）

  • 概述
  • 供应链
  • 销售与行销
  • 手术
  • 维护和维修
  • 金融

7. 全球航空分析市场（依最终用户划分）

  • 概述
  • 航空
  • 飞机场

8. 全球航空分析市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 世界其他地区
    • 拉丁美洲
    • 中东和非洲

第九章全球航空分析市场的竞争格局

  • 概述
  • 各公司市场排名
  • 主要发展策略

第十章 公司简介

  • General Electric Company（GE Aviation）
  • The Boeing Company
  • SAS Institute
  • SAP SE
  • Oracle Corporation
  • Honeywell International, Inc.
  • Collins Aerospace（Raytheon Technologies Corporation）
  • Mu Sigma, Inc.
  • Teradata Corporation
  • MU-Sigma

第十一章 附录

  • 相关调查
简介目录
Product Code: 32551

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