IBM Corporation, Microsoft Corporation, Amazon Web Services, etc are major players operating in big data analytics in the transportation

The global big data analytics in transportation was US$12.9 billion in 2018 and it is expected to reach US$22.2 billion by the end of 2023, with a CAGR of 9.1% during 2021-2023. Various travel and transportation industry segments, such as airlines, railways, freight logistics, hospitality, and others, have adopted big data analytics to manage customer records, transaction history, and pricing data for better customer feedback.

Big data analytics is a process used to extract significant insights, like hidden patterns, unknown correlations, market trends, and client preferences. Big data analytics provides numerous advantages like it is often used for better decision making, preventing fallacious activities, among other things. The transportation business ensures the economical and safe transportation of individuals and goods from one place to another. The expansion of technology, like traffic sensors, electronic access, quality management, and monitoring show systems in transportation is powering analytics in this segment.

Benefits of big data analytics, such as identification of the bottleneck in the transportation network to enable optimized route planning, detection of networks with poor infrastructure, and calculation of travel delay, drive the market growth.

Big data analytics in the transportation market is segmented based on components, application, and geography. The components studied in this report are software and services. The major players operating in big data analytics in the transportation market are IBM Corporation, Microsoft Corporation, Amazon Web Services, SAP SE, Oracle Corporation, Splunk Inc., Hewlett-Packard Co., Teradata Corporation, Cloudera Inc., and Tableau Software, Inc.