全球航空公司的大數據分析：增長機會

對個性化旅行體驗的需求預計將推動航空公司和科技公司的增長戰略。

COVID-19 大流行正在對全球航空公司的數字市場產生負面影響。然而，客運正顯示出複甦的跡象。因此，航空公司對大數據分析的關注有望在中短期內獲得動力。此外，美國和歐洲的航空公司正在利用大數據分析來降低運營成本並對其利潤產生重大影響。

本報告探討了全球航空公司的大數據分析市場，並提供了有關戰略要求、增長環境分析等方面的信息。

目錄

戰略要求

• 為什麼增長變得更加困難
• 戰略要務 8 (TM)
• 大數據分析三大戰略需求對航空公司的影響
• 增長機會推動增長管道引擎 (TM)

增長機會分析

• 航空公司大數據分析的屬性
• 航空公司大數據分析來源
• 航空公司大數據分析分類
• 大數據分析對航空公司的好處
• 航空公司大數據分析的挑戰
• 航空公司大數據分析的目的
• 大數據分析在航空公司中的作用
• 數據監管的未來
• 全球最佳做法
• 生長促進劑
• 生長抑製劑

增長機會宇宙

• 增長機會一：大數據平台提昇運營和營銷
• 增長機會2：網絡安全帶來強大的運營彈性
• 增長機會 3：將工作負載遷移到雲端以實現可擴展性和成本效率
• 展品清單
• 免責聲明

Demand for Personalized Travel Experiences Sparks Growth Strategies among Carriers and Technology Companies

Although airlines have access to large, diversified datasets from multiple fields, few use them adequately to respond to market trends and customer needs. Airlines need to invest in digitalization and maximize their use of the available technology. Also, cybersecurity incidents are increasing across global airlines as the growth in interconnected solutions has created a vulnerable data ecosystem, resulting in the creation of various data regulations across regions and monitoring efforts to increase sensitive data security. These factors, in addition to increased focus on data privacy globally, will intensify airlines' spending on cybersecurity solutions. As such, the adoption of data platforms that enhance operations and commercial activities will likely escalate during the next decade.

The COVID-19 pandemic has negatively affected the global airline digitalization market. While digital solutions have increased to ensure a safe passenger experience, the pandemic has hampered operations, leading to historically low revenues and limiting airlines' digital and information technology budgets. Passenger traffic is, however, showing signs of recovery; and as a result, airlines' focus on Big Data analytics will pick up momentum in the short-to-medium term.

Globally, Big Data analytics has helped airlines understand their customers better, identify past trends, forecast future scenarios, and determine the technology investment required to fill the gaps. Airlines have started using Big Data analytics to analyze passenger data from social networking sites, online shopping, and other sources to determine customer preferences and accordingly customize their services to optimize ancillary revenues. Airlines from United States and Europe are at the forefront of utilizing Big Data analytics to decrease airlines' operational costs, which has demonstrated significant impacts on revenues.

Table of Contents

Strategic Imperatives

• Why is it Increasingly Difficult to Grow?
• The Strategic Imperative 8™
• The Impact of the Top 3 Strategic Imperatives on Big Data Analytics in Airlines
• Growth Opportunities Fuel the Growth Pipeline Engine™

Growth Opportunity Analysis

• Attributes of Big Data Analytics in Airlines
• Sources of Big Data Analytics in Airlines
• Categories of Big Data Analytics in Airlines
• Advantages of Big Data Analytics in Airlines
• Challenges of Big Data Analytics in Airlines
• Objectives of Big Data Analytics in Airlines
• Role of Big Data Analytics in Airlines
• Future of Data Regulations
• Global Best Practices
• Growth Drivers
• Growth Restraints

Growth Opportunity Universe

• Growth Opportunity 1: Big Data Platforms for Enhanced Operations and Merchandising
• Growth Opportunity 1: Big Data Platforms for Enhanced Operations and Merchandising (continued)
• Growth Opportunity 2: Cybersecurity for Robust Operational Resilience
• Growth Opportunity 2: Cybersecurity for Robust Operational Resilience (continued)
• Growth Opportunity 3: Workload Migration to Cloud for Scalability and Cost Efficiency
• Growth Opportunity 3: Workload Migration to Cloud for Scalability and Cost Efficiency (continued)
• List of Exhibits
• Legal Disclaimer