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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
Rail technologies need to be standardised in order to save costs and increase the appeal of rail to commuters and intercity travellers.
Despite this, new research reveals that AI can play significant roles in the railway industry, including optimising complex railway systems, detecting infrastructure faults/defects, enhancing customer service quality, and improving the safety and security of urban train networks.
Due to its efficiency, cost-competitiveness, and environmental friendliness in comparison to other forms of transportation, rail transportation is once again being viewed favourably.
The Canada Railway AI Market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Canadian National Railroad Corporation CN has awarded Wabtec a contract for the implementation of its precision dispatch system (PDS). PDS was designed to run trains in signalled and dark terrain safely and effectively.
Through end-to-end electronic communication of mandated directives and automatic implementation of authorities in dark areas, the system uses this data to provide advanced automation. The method lowers maintenance and operational costs and guards against human error.
A significant step toward train autonomy has been reached with the completion of Thales' 18-month WinterTech Programme in partnership with Toronto-based technological scale-up Invision AI and Metrolinx.
This programme was designed to give increased situational awareness, safety enhancements, and operational advantages while verifying the performance and dependability of a rail-centric system.
A Metrolinx GO train equipped with the technology was run in shadow mode on numerous lines in Toronto as part of the project. Data was gathered by the train from a variety of sensors, including radars, cameras, and lidar, thanks to 4G/LTE capabilities that were cyber-secured.
The technology was then upgraded to recognise obstacles in all weather situations using the acquired data. Through sensors that track possible barriers for rail transit operators, this innovative system is anticipated to improve safety while supplying accurate real-time data for maintenance and operations.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |