Smart railway systems are solutions and services that help the rail companies to collect information related to railway operations more closely and accurately. These systems help the rail operators to take timely action, which further helps in avoiding unwanted collision between the trains.

Growing integration of IoT (Internet of Things) technology in railway is one of the major factors driving growth of the market

Rising adoption of IoT (Internet of Things) in railway infrastructure is one of the major factors driving growth of the market. Rising number of railroad accidents is another factor driving growth of the market. For instance, according to the analysis of Transport Safety Board of Canada, in Canada, the number of rail accidents occurred in 2013 was 1,036, which increased to 1,201 in 2014. These IoT devices communicate through the clouds to transmit data among themselves, send and receive instructions from the control centers, provide data, which in turn help rail operators to identify trains that are operating normally and the ones that need to be improved, information on what units need to be maintained, which train requires maintenance, and many more, which further increases the safety and security of the passengers while travelling. Moreover, adoption of IoT (Internet of Things) help in gaining a better knowledge of their passenger’s requirements such as the current status of a train, seat availability, freight management, and many more, which further helps in improving overall services of the railway. Hence, these factors are propelling growth of the smart railway market.

Global Smart Railway Market: Restraints

High initial cost of deploying the system in the rail transport is a major factor restraining growth of the market, as the installation of these systems require huge amount of investment from the government. Thus, lack of government support towards improving the railway infrastructure will negatively hamper growth of the market. Moreover, an outdated infrastructure of the existing rail transport will further hinder growth of the market.

Global Smart Railway Market: Regional Insights

Europe accounted for the largest market share in 2017 and is expected to retain its dominance over the forecast period, owing to stringent government rules and regulations for increasing safety of passengers in the region. For instance, in April 2009, the European Commission adopted the European Railway Traffic Management System (ERTMS), which includes GSM-R, a radio system for enabling communication between the driver and the traffic management center and European Train Control System (ETCS), an automatic control system that helps to control speed limits of a train by communicating with the driver. For instance, according to the press release of Global Railway Review published on January 5, 2017, the European government made a deployment plan that by 2023 around 50 percent of the Core Network Corridors will be ERTMS equipped allowing trains to run seamlessly across borders, in order to increase safety of the railway system. Therefore, increasing government initiatives towards the installation of advanced technology will help in improving railway safety and will positively fuel growth of the smart railway market in this region.

Global Smart Railway Market: Competitive Landscape

Major players operating in the global smart railway market include Alcatel-Lucent International, ABB Ltd, Ansaldo STS, Alstom SA, Cisco Systems, Inc., Bombardier Transportation, GE Transportation, CGI Group Inc., Huawei Technologies Co. Ltd., Indra Sistemas, S.A., Hitachi Ltd., Computer Sciences Corp., ZTE Corporation, IBM Corporation, and Siemens AG.

The players in the market are adopting partnership strategies, in order to expand their business. This will encourage advancements in technology and improve their services, thereby strengthening their foothold in the market. For instance, in September 2017, Cisco System, Inc. partnered with ScotRail, Network Rail Telecom, CGI, and Wittos, in order to enable super-fast Wi-Fi on trains (Project SWIFT). This service helps in improving passenger experience and helps the train operators to provide better, more reliable, and profitable services. This is therefore expected to encourage people to prefer this mode of transportation, in turn increasing revenue to the companies.  

Global Smart Railway Market: Taxonomy

The global smart railway market is segmented on the basis of component type, service type, solutions, and region.

By Component Type:

  • Video Surveillance Cameras
  • Networking and Connectivity Devices
  • Multimedia Infotainment Displays

By Service Type:

  • Professional Services
    • Consulting Services
    • System Integration and Deployment
    • Support and Maintenance
  • Managed Services

By Solutions:

  • Passenger Information System
    • Multimedia Information and Entertainment Solution
    • Network Connectivity Solution
  • Freight Information System
    • Freight Operation Management Solution
    • Freight Tracking Solutions
  • Advanced Security Monitoring System
    • Video Analytic
    • Integrated Security System
  • Rail Communication and Networking System
    • Ground-To-Train Communication Solution
    • Train-To-Train Communication Solutions
  • Smart Ticketing System
  • Rail Analytics System
  • Railway Traffic Management System
  • Rail Operations Management System

By Region:

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East
  • Africa

Key Development

  • In July 2019, Saudi Railway Company (SAR) entered into a partnership with Chinese tech firm Huawei to develop a smart railway in Saudi Arabia.
  • In June 2019, Veea Systems Ltd., a subsidiary of Veea Inc. entered into a partnership with Angel Trains to deliver advanced digital functionality for UK rail operators and passengers.
  • In June 2019, The Hong Kong-based MTR Corporation entered into a collaboration with Country Garden and the local government to set up a smart railway research and development center in South China.

Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.

Data Triangulation Methodology | Coherent Market Insights

Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.

Market Analysis | Coherent Market Insights

Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users