全球航空公司的大数据分析：增长机会

对个性化旅行体验的需求预计将推动航空公司和科技公司的增长战略。

COVID-19 大流行正在对全球航空公司的数字市场产生负面影响。然而，客运正显示出复苏的迹象。因此，航空公司对大数据分析的关注有望在中短期内获得动力。此外，美国和欧洲的航空公司正在利用大数据分析来降低运营成本并对其利润产生重大影响。

本报告探讨了全球航空公司的大数据分析市场，并提供了有关战略要求、增长环境分析等方面的信息。

目录

战略要求

• 为什么增长变得更加困难
• 战略要务 8 (TM)
• 大数据分析三大战略需求对航空公司的影响
• 增长机会推动增长管道引擎 (TM)

增长机会分析

• 航空公司大数据分析的属性
• 航空公司大数据分析来源
• 航空公司大数据分析分类
• 大数据分析对航空公司的好处
• 航空公司大数据分析的挑战
• 航空公司大数据分析的目的
• 大数据分析在航空公司中的作用
• 数据监管的未来
• 全球最佳做法
• 生长促进剂
• 生长抑製剂

增长机会宇宙

• 增长机会一：大数据平台提昇运营和营销
• 增长机会2：网络安全带来强大的运营弹性
• 增长机会 3：将工作负载迁移到云端以实现可扩展性和成本效率
• 展品清单
• 免责声明

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