Burgeoning Demand For Railway Management System To Fuel Market Growth Through 2026

The demand for railway management system is likely to spur over the coming years on account of rising consumer demand for improved public transit infrastructure. The urban population is insisting railway authorities to overhaul its existing infrastructure that is compatible with the latest technologies.

Federal organizations are also investing in railway infrastructure development projects as it directly co-relates with economic growth. Organizations are forming Public-Private Partnerships (PPPs) to adopt advanced train management systems. Based on such aspects, Global Market Insights, Inc., forecasts that the railway management system market might surpass USD 55 billion by the year 2026.

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How will the advent of new technologies impact railway management system industry outlook?

The emergence of new-age digital technologies like AI, cloud and IoT is augmenting the functioning of railway management systems. IoT have paved the way for connected systems that integrate accumulated data from sensors embedded into various railway assets. These sensors which are embedded in railway tracks help in facilitating accurate maintenance scheduling.

Meanwhile, immense advancements in cloud computing solutions led by prominent technology providers like Huawei Technologies Co. Ltd. and IBM Corporation could boost the adoption of cloud-based railway management models.

Cloud provides the necessary scalability and flexibility option while eradicating the need for on-premise hardware. Additionally, it has the capability of accommodating huge amounts of data without even needing to expand on-premise infrastructure. With the deployment of cloud-based systems, railway companies would be able to lower their maintenance costs that would rather be needed for on-premise hardware.

Why is the APAC railway management system industry gaining immense traction?

Advancing economic conditions could drive the adoption of modern technologies across the Asia Pacific railway sector. Various federal organizations in the region are heavily investing in railway management platform development projects to provide improved services for passengers while ensuring optimum convenience and safety. Citing an instance, in December 2019, Indian Railways revealed its plans to overhaul the signalling system throughout its network by implementing Modern Train Control solutions with LTE-based MTRC.

Recently, the Indian railway took one more step forward towards its initiative to transform India into a digitally equipped society when it released a digitized online HRMS (Human Resource Management System) platform. Increasing number of smart city projects in Singapore and China could further broaden the business horizon for local railway management system developers.

Which business strategies are preferred by prominent industry players?

Established companies like IBM, Cisco, Bombardier, Nokia, ABB, Atos, Huawei, Toshiba, Eurotech, Alstom, Indra, General Electric, Trimble, Thales, Hitachi and Siemens are emphasizing on forming strategic alliances with notable players to enhance their production capabilities and market presence.

Taking November 2020 for instance, RailTel Corporation of India Limited (RailTel) partnered with the Indian Railways to deploy an integrated clinical information system called the Hospital Management Information System (HMIS) for its 650 polyclinics and 125 health facilities across the country. This will significantly improve patient healthcare and hospital administration.

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Partial Chapter of the Table of Content

Chapter 1 Methodology & Scope

1.1 Scope & definitions

1.2 Methodology and forecast parameters

1.3 Data sources

1.3.1 Primary

1.3.2 Secondary

Chapter 2 Executive Summary

2.1 Railway management system industry 360º synopsis, 2015 – 2026

2.1.1 Business trends

2.1.2 Regional trends

2.1.3 Component trends

2.1.4 Deployment model trends

2.1.5 Operating system trends

Chapter 3 Railway Management System Industry Insights

3.1 Introduction

3.2 Industry segmentation

3.3 Impact analysis of coronavirus (COVID-19) pandemic

3.3.1 Global outlook

3.3.2 Regional impact

3.3.2.1 North America

3.3.2.2 Europe

3.3.2.3 Asia Pacific

3.3.2.4 Latin America

3.3.2.5 MEA

3.3.3 Industry value chain

3.3.4 Competitive landscape

3.4 Industry ecosystem analysis

3.4.1 Solution providers

3.4.2 Service providers

3.4.3 System integrators

3.4.4 Value added resellers and distributors

3.4.5 End-users

3.4.6 Vendor matrix

3.5 Architecture analysis

3.6 Technology & innovation landscape

3.6.1 Blockchain

3.6.2 IoT

3.6.3 Cloud computing

3.7 Regulatory landscape

3.7.1 North America

3.7.1.1 Railway Safety Management System Regulations, 2015

3.7.1.2 Railroad Revitalization and Regulatory Reform Act

3.7.2 Europe

3.7.2.1 European railway safety legislation (Directive on Railway safety)

3.7.2.2 ERTMS Specifications and Legislation

3.7.3 Asia Pacific

3.7.3.1 National Railway Administration

3.7.4 Latin America

3.7.4.1 Ley Reglamentaria del Servicio Ferroviario 1995 (Railroad Service Regulatory Law 1995) and Reglamento del Servicio Ferroviario 2001 (Railway Service Regulations 2001)

3.7.5 MEA

3.7.5.1 The Federal Railways Regulation Law

3.7.5.2 Safety Certification and Regulation (C&R)

3.8 Industry impact forces

3.8.1 Growth drivers

3.8.1.1 Rapid urbanization and demographic growth

3.8.1.2 Government funding and PPP models

3.8.1.3 Rising trend of smart cities

3.8.1.4 Growing adoption of AI and cloud-based services

3.8.1.5 Growing trend of IoT and digitalization in rail transport

3.8.2 Industry pitfalls and challenges

3.8.2.1 High initial investment

3.8.2.2 Integration complexities with legacy systems

3.9 Growth potential analysis

3.10 Porter's analysis

3.10.1 Threat of new entrants

3.10.2 Threat of substitutes

3.10.3 Buyer power

3.10.4 Supplier power

3.10.5 Industry rivalry

3.11 PESTEL analysis

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