航空アナリティクスの世界市場規模：用途別、業務機能別、エンドユーザー別、地域別、範囲および予測

航空アナリティクスの市場規模と予測

航空アナリティクス市場規模は、2024年に23億4,000万米ドルと評価され、2026年から2032年にかけて11.40%のCAGRで成長し、2032年には55億5,000万米ドルに達すると予測されています。

航空アナリティクスとは、業務効率、安全性、旅客体験を向上させるために、航空部門におけるデータの体系的な収集、分析、解釈を行うことです。この手順では、運航、整備記録、燃料使用量、顧客からのフィードバックなど、さまざまな種類のデータを収集します。

航空事業における運航効率、安全性、旅客体験を向上させる上で重要な役割を果たしています。航空アナリティクスの最も一般的な用途の1つは、運航管理です。航空会社は大量のデータを分析することで、スケジューリングの強化、燃料使用量の削減、航空機ルートの最適化を行うことができます。

技術開発とデータ利用可能性の向上により、航空アナリティクスは今後ますます普及すると予測されています。ビッグデータと人工知能の台頭により、航空会社はリアルタイムのデータを利用してより的確な意思決定を行えるようになると思われます。例えば、機械学習アルゴリズムを追加することで、予知保全モデルを改善することができ、航空会社は運航に支障をきたす前に潜在的な問題を予測し、最小限に抑えることができるようになります。

航空アナリティクスの世界市場力学

世界の航空アナリティクス市場を形成している主な市場力学は以下の通り：

主な市場促進要因

データ主導の意思決定：航空券の販売や運航から乗客からのフィードバックに至るまで、航空業界で収集されるデータ量の増大がアナリティクスの必要性を高めています。航空会社や空港は、顧客行動、運航実績、市場動向を把握するためにデータ分析を利用しています。

業務の効率化とコスト削減：航空会社は、優れたサービス水準を維持しながら運営経費を節約しなければならないというプレッシャーに常にさらされています。航空アナリティクスソリューションは、非効率と節約の可能性を検出することで、企業が業務を合理化するのに役立ちます。例えば、予知保全アナリティクスは機器の問題を事前に検出し、ダウンタイムと保全コストを削減します。

顧客体験の向上：競争が激化する中、航空会社は乗客の維持と確保のため、顧客満足度の向上に取り組んでいます。航空アナリティクスは顧客の嗜好に関する有益な情報を提供するため、航空会社はそれに応じてサービスを変更することができます。

主な課題

データのプライバシーとセキュリティ：航空部門では、旅客情報、フライトデータ、運航指標など、大量の機密データが作成されます。こうしたデータのプライバシーとセキュリティを確保することは、特にデータ漏洩やサイバー攻撃への懸念が高まる中、重要な課題となっています。航空会社や航空関連企業は、強力なサイバーセキュリティ対策に投資し、欧州の一般データ保護規則（GDPR）などの厳しいデータ保護要件を遵守しなければならないです。

レガシーシステムの統合：航空会社の多くは、最新のアナリティクス技術と互換性のないレガシーシステムを使用しています。このような旧式のシステムを最新のアナリティクスプラットフォームと統合するのは困難で、コストもかかります。このような困難は、データのサイロ化を招き、貴重な洞察がさまざまなシステムに封じ込められたままとなり、徹底したデータ分析の妨げとなります。

スキルギャップと人材不足：データ分析、データサイエンス、航空技術の訓練を受けた人材に対する需要は供給を上回っています。航空会社にとって、複雑なデータセットを読み取り、関連する洞察を抽出できる従業員を確保し、維持することが難しくなっています。この不足はアナリティクスソリューションの導入を妨げ、業界全体の発展能力を阻害する可能性があります。

主要動向：

人工知能と機械学習の統合：人工知能（AI）と機械学習（ML）の航空アナリティクスへの統合は、データ処理と意思決定に変革をもたらしつつあります。航空会社や空港は人工知能と機械学習を利用して、大量の運航データの分析、予知保全の改善、フライトスケジュールの最適化、顧客体験の向上を図っています。

データ主導の意思決定：航空業界では、データ駆動型の意思決定が急速に採用されています。航空会社は高度なアナリティクスを使用して、燃料使用、フライト遅延、乗客の行動など、さまざまな運航データを評価しています。企業はデータ分析を活用することで、より多くの情報に基づいた意思決定を行い、生産性の向上、リソース配分の最適化、そして最終的には収益性の向上につなげることができます。

旅客体験の向上：航空アナリティクスは、旅客体験全体の改善に不可欠です。航空会社は顧客データを活用することで、乗客の要望を先取りしてサービスをパーソナライズし、顧客満足度を向上させることができます。高度な分析手法は、乗客の好みを予測し、座席配置を最適化し、搭乗手続きを改善するために活用されます。

目次

第1章 航空アナリティクスの世界市場導入

• 市場概要
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• バリデーション
• 一次資料
• データソース一覧

第4章 航空アナリティクスの世界市場展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 航空アナリティクスの世界市場、用途別

• 概要
• 収益管理
• ナビゲーションサービス
• 在庫管理
• 燃料管理
• フライトリスク管理
• 顧客分析

第6章 航空アナリティクスの世界市場、業務機能別

• 概要
• サプライチェーン
• セールス＆マーケティング
• オペレーション
• メンテナンス＆修理
• 財務

第7章 航空アナリティクスの世界市場、エンドユーザー別

• 概要
• 航空会社
• 空港

第8章 航空アナリティクスの世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋地域
• 世界のその他の地域
  • ラテンアメリカ
  • 中東・アフリカ

第9章 世界の航空アナリティクス市場の競合情勢

• 概要
• 各社の市場ランキング
• 主な発展戦略

第10章 企業プロファイル

• 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 付録

• 関連調査

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