市場調査レポート
商品コード
1090207
世界の航空会社おけるビッグデータ分析:成長機会Growth Opportunities for Big Data Analytics in Global Airlines |
世界の航空会社おけるビッグデータ分析:成長機会 |
出版日: 2022年05月26日
発行: Frost & Sullivan
ページ情報: 英文 29 Pages
納期: 即日から翌営業日
|
パーソナライズされた旅行体験への需要が、航空会社とテクノロジー企業の成長戦略を喚起すると期待されています。
COVID-19のパンデミックは、世界の航空会社のデジタル化市場に悪影響を及ぼしています。しかし、旅客輸送は回復の兆しを見せています。その結果、航空会社のビッグデータ分析への注力は、短期から中期的に勢いを増すと予想されています。また、米国と欧州の航空会社は、ビッグデータ分析を活用して航空会社の運用コストを削減し、収益に大きな影響を与えています。
当レポートでは、世界の航空会社におけるビッグデータ分析市場について調査し、戦略的必須要件、成長環境分析などの情報を提供しています。
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.