Asia Pacific is anticipated to offer lucrative growth opportunities for the railway management system market. Improving economic conditions in the region are supporting the adoption of cutting-edge technologies. Government authorities in the region are investing heavily in railway infrastructure to offer improved services and ensure the safety of passengers.

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For instance, in December 2019, Indian Railways revealed plans to renovate its signaling system throughout its railway network by executing a Modern Train Control system with LTE-based MTRC. In addition, smart city development projects in Singapore and China are likely to further accelerate the demand for advanced railway management systems.

The railway management system market is poised for robust growth over the ensuing years with the advent of cutting-edge technologies including IoT, cloud, and AI. In recent years, the trend of digitalization has traversed the fields of automobiles, electronics, and IT, reaching major verticals in transportation like railways. The deployment of digital technologies in railways to improve overall customer experience by offering value-added services to increase reliability, efficiency, safety, and performance of railways is likely to accelerate the railway management system market growth over the forecast period.

Railway administrations across the world have started relying on next-generation railway management systems to enable efficient and reliable operations of railway infrastructure. These technologies enable rail operators to offer precise information to passengers about train arrival and departure timings or cancellation of railways, predominantly accelerating their adoption across railway infrastructure. The railway management system market is anticipated to record USD 55 billion by 2026.

In particular, vehicle maintenance scheduling systems enable an assessment of the vehicle condition throughout the life cycle based on data evaluations. On the other hand, predictive rail maintenance services include the implementation of sensor-based analytical monitoring in real-time for assets and sub-systems that offer enough time to take pivotal measures based on the recorded condition parameters.

Based on the deployment model, the cloud deployment model segment is growing at a prominent rate in the railway management system industry on account of numerous benefits it offers, like easy access and flexibility, making it convenient for rail authorities to carry out their operations.

These models are also highly scalable and can conveniently accommodate increasing amounts of data without the need to expand on-premise infrastructure. In addition, the strong presence of cloud computing technology providers like IBM Corporation and Huawei Technologies are likely to further support the cloud-based railway management systems.

They are focusing on forming partnerships with government organizations and railway authorities to deploy their solutions to a larger network, Notably, Bombardier, Atos, Alstom, Eurotech, Indra, Thales, Trimble, General Electric, Hitachi, Toshiba, Huawei, IBM, Nokia, ABB, Cisco, and Siemens are key companies currently at the forefront of railways management system industry.

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Some Point from Table of Contents:

Chapter 6   Railway Management System Market, By Deployment Model

6.1    Key trends, by deployment model

6.2    On-premise

6.2.1    Market estimates and forecast, 2015 - 2026

6.3    Cloud

6.3.1    Market estimates and forecast, 2015 - 2026

Chapter 7   Railway Management System Market, By Operating System

7.1    Key trends, by operating system

7.2    QNX

7.2.1    Market estimates and forecast, 2015 - 2026

7.3    Linux

7.3.1    Market estimates and forecast, 2015 - 2026

7.4    VxWorks

7.4.1    Market estimates and forecast, 2015 - 2026

7.5    Others

7.5.1    Market estimates and forecast, 2015 - 2026

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