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1732189

全球航空分析市場規模：依應用、業務功能、最終用戶、地區、範圍和預測

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個工作天內

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簡介目錄

航空分析市場規模與預測

2024年航空分析市場規模價值為 23.4億美元，預計到2032年將達到 55.5億美元，2026年至2032年的年複合成長率為 11.40%。

航空分析是對航空領域資料進行系統性收集、分析和解釋，以提高業務效率、安全性和乘客體驗。此過程包括收集各種類型的資料，包括飛行操作、維護記錄、燃料使用情況和客戶回饋。

它對提高航空業的營運效率、安全性和乘客體驗發揮非常重要的作用。航空分析最常見的應用之一是交通管理。透過分析大量資料，航空公司可以加強航班調度、減少燃料使用並最佳化飛機航線。

由於技術發展和資料可用性的提高，預計未來航空分析將變得越來越普遍。巨量資料和人工智慧的興起可能會使航空公司能夠利用即時資料做出更好的決策。例如，添加機器學習演算法可以改進預測性維護模型，使航空公司能夠在潛在問題影響營運之前預測並盡量減少這些問題。

全球航空分析市場動態

影響全球航空分析市場的主要市場動態是：

主要市場促進因素

資料主導決策：從機票銷售和營運到乘客回饋，航空業收集的資料量不斷增加，推動了分析的需求。航空公司和機場使用資料分析來了解客戶行為、營運績效和市場趨勢。

提高業務效率並降低成本：航空公司面臨著在維持優質服務標準的同時節省營運費用的持續壓力。航空分析解決方案可幫助公司發現低效率和潛在節省，簡化業務。例如，預測性維護分析可以在設備問題發生之前檢測到它們，減少停機時間和維護成本。

改善客戶體驗：在競爭日益激烈的環境中，航空公司都在努力提高客戶滿意度以留住和保留乘客。航空分析提供了有關客戶偏好的寶貴資訊，使航空公司能夠相應地修改其服務。

主要挑戰

資料隱私和安全：航空業產生大量敏感資料，包括乘客資訊、航班資料和營運指標。確保這些資料的隱私和安全已成為一項重大挑戰，尤其是在人們對資料外洩和網路攻擊的擔憂日益加劇的情況下。航空公司和航空相關企業必須投資強而有力的網路安全措施，並遵守嚴格的資料保護要求，例如歐洲的《一般資料保護規範》（GDPR）。

舊有系統整合：許多航空公司使用與現代分析技術不相容的舊有系統。將這些遺留系統與現代分析平台整合既困難又昂貴。這些挑戰導致了資料孤島，有價值的見解仍然鎖定在不同的系統中，阻礙了徹底的資料分析。

技能差距和人才短缺：對接受過資料分析、資料科學和航空技術培訓的人才的需求超過供應。航空公司發現很難吸引和留住能夠閱讀複雜資料集並提取相關見解的員工。這種短缺可能會阻礙分析解決方案的採用並抑制該行業的發展能力。

主要趨勢：

人工智慧和機器學習的融合：人工智慧（AI）和機器學習（ML）與航空分析的融合改變資料處理和決策。航空公司和機場使用人工智慧和機器學習來分析大量營運資料、改善預測性維護、最佳化航班時刻表並增強客戶體驗。

資料主導決策：航空業正迅速採用資料驅動決策。航空公司使用先進的分析技術來評估各種營運資料，包括燃料使用、航班延誤和乘客行為。資料分析使企業能夠做出更明智的決策，提高生產力，最佳化資源配置，並最終提高盈利。

改善乘客體驗：航空分析對於改善整體乘客體驗非常重要。利用客戶資料，航空公司可以預測乘客需求、個人化服務並提高客戶滿意度。進階分析將用於預測乘客偏好、最佳化座位安排和改善登機流程。

目錄

第1章 全球航空分析市場應用狀況

  • 市場概覽
  • 研究範圍
  • 先決條件

第2章 執行摘要

第3章 已驗證的市場研究調查方法

  • 資料探勘
  • 驗證
  • 第一手資料
  • 資料來源列表

第4章 全球航空分析市場展望

  • 概述
  • 市場動態
    • 促進因素
    • 限制因素
    • 機會
  • 波特五力模型
  • 價值鏈分析

第5章 全球航空分析市場（依應用）

  • 概述
  • 收益管理
  • 導航服務
  • 庫存管理
  • 燃料管理
  • 飛行風險管理
  • 客戶分析

第6章 全球航空分析市場（依業務功能）

  • 概述
  • 供應鏈
  • 銷售與行銷
  • 手術
  • 維護和維修
  • 金融

第7章 全球航空分析市場（依最終用戶）

  • 概述
  • 航空
  • 飛機場

第8章 全球航空分析市場（依地區）

  • 概述
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 世界其他地區
    • 拉丁美洲
    • 中東和非洲

第9章 全球航空分析市場的競爭格局

  • 概述
  • 各公司市場排名
  • 主要發展策略

第10章 公司簡介

  • 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11章 附錄

  • 相關調查
簡介目錄
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