DUBLIN–(BUSINESS WIRE)–The “Autonomous Trains Market Size, Market Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts, 2023 To 2031” report has been added to ResearchAndMarkets.com’s offering.
The market for autonomous trains is projected to develop at a CAGR of 5.5% during the forecast period of 2023 and 2031.
This study report represents analysis of each segment from 2021 to 2031 considering 2022 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2023 to 2031.
Asia-Pacific is expected to lead the market for autonomous trains, followed by Europe. Due to the increase in traffic congestion in urban areas around the globe, there is a pressing need to develop faster, more efficient, and more dependable transportation systems.
In the next years, technological advancements and their integration with transportation systems, such as artificial intelligence and machine learning, are predicted to contribute to market expansion. Modern digital technologies such as 5G, big data, the Internet of Things, automation, artificial intelligence, and blockchain are driving a comparable transformation inside the railway business.
Growing Demand for Compliance and Safety in Rail Transit
The safety of commuters plays a crucial role in rail transit due to the large number of commuters that travel. As the number of rail commuters increases around the world, rail operators must prioritize safety to maintain operations without incurring sanctions from regulators.
Real-time monitoring and video surveillance in railway stations and on trains can play a vital role in enhancing situational awareness and ensuring a quicker and more proactive incident response time, hence enhancing passenger safety. In addition to station and train safety, the safety of the rails is of the utmost importance.
For a smarter and safer transportation network, software companies have been creating communication systems that leverage wireless technologies to communicate data between vehicles and infrastructure such as railway traffic signals, crossroads stop signs, warning gates, etc. Additionally, technologies are being developed to alert the driver if an accident is imminent.
Therefore, systems that may further streamline operational requirements such as signaling, control, electrification, voice communication, video, and bulk data transfer will undoubtedly play a crucial role in boosting rail safety.
Through communication between integrated systems and applications, such as real-time traffic alerts, collision avoidance systems, and crash notification systems, these technologies provide significant safety benefits. Multiple features of technology, including data transmission, tracking, mobility, and sensors, are necessary for the successful implementation of railway projects
In recent years, rapid advancements in these fields have enabled improved object communication, culminating in the emergence of smarter ecosystems. IP version 6 (IPv6) made it possible for nearly every physical thing to connect to the internet. As communication technology has improved over the years, so have the advantages of utilizing digital solutions in the railway industry.
Increases in Globalization and Freight Transportation Demands Will Drive Market Growth for Autonomous Trains
Increased globalization and urbanization have increased the demand for freight and cargo transportation. In addition, it has increased the demand for greater mobility solutions. A smaller, more interconnected globe has increased the preference for autonomous rail transportation.
Consequently, a shortage of trained drivers is anticipated to occur shortly. It is projected that this will contribute to the market demand for autonomous trains throughout the forecast period. In addition, rising tailpipe emissions and the expanding trend of electrification are projected to stimulate the global development of the autonomous train market.
Global Metro and Monorail Network Expansion to Drive Demand for Autonomous Trains
A growing number of metro lines in cities across the globe have already embraced Level 4 Grade of Automation (GoA) driverless train operation.
Higher levels of automation, beginning with driver aid systems and advancing to automatic obstacle detection, assist mainline, regional, and tram operators in enhancing the capacity, flexibility, and energy efficiency of their rail operations. Automatic obstacle detection is a fundamental component of future railway automation for a variety of application scenarios.
Lack Of Technological Infrastructure and Interoperability Is a Constraint
The underdeveloped telecommunications infrastructure and restricted access to smart devices in developing nations impede the market for autonomous trains. Costly internet access is another obstacle to the development of autonomous trains.
As enterprises progressively adopt IoT technologies, pursue ambient computing technology, and provide a variety of IoT solutions, standardization across data standards, wireless protocols, and technologies has become more varied to reduce complexities and costs. This is occurring due to the growing number of newly designed connected devices that operate on a variety of platforms and technologies.
Autonomous Trains are difficult to run jointly, posing challenges for interoperability. Networks connect many systems and solutions, such as operations management systems, traffic management systems, control systems, and asset management systems. These solutions are compliant with the same standards and established protocol. Thus, the lack of standards and protocols is anticipated to be a significant market barrier for autonomous trains.
Increasing Emphasis on Intelligent Infrastructure
The increasing urbanization rate drives the development of smart cities. Governments in many regions have initiated smart city projects to improve infrastructure and services and streamline public transportation (including rail and road) for the benefit of end-users. Japan has one of the most extensive high-speed rail networks in the world, with nine high-speed train lines serving 22 of its major cities.
The country’s high-speed train service is the busiest in the world, carrying more than 420 thousand people on an average weekday. Its trains can reach speeds of up to 320 kilometers per hour (200 miles per hour), and the railway maintains that in over 50 years of operation, no passengers have been killed or injured due to accidents.
Product Development and Partnerships are the Key Strategies Adopted by Key Competitors
The global market for autonomous trains is dominated by Alstom (France), Siemens (Germany), Hitachi (Japan), Wabtec Corporation (United States), and Thales Group (France). These corporations have robust global distribution networks.
In addition, these businesses offer a comprehensive selection of products in this sector. To maintain their market position, these corporations have employed measures such as new product development and partnerships. Industry leaders in autonomous trains are adopting new technology and focusing on mergers, acquisitions, and product portfolio expansion.
Key questions answered in this report
- What are the key micro and macro environmental factors that are impacting the growth of Autonomous Trains market?
- What are the key investment pockets concerning product segments and geographies currently and during the forecast period?
- Estimated forecast and market projections up to 2031.
- Which segment accounts for the fastest CAGR during the forecast period?
- Which market segment holds a larger market share and why?
- Are low and middle-income economies investing in the Autonomous Trains market?
- Which is the largest regional market for Autonomous Trains market?
- What are the market trends and dynamics in emerging markets such as Asia Pacific, Latin America, and Middle East Africa?
- Which are the key trends driving Autonomous Trains market growth?
- Who are the key competitors and what are their key strategies to enhance their market presence in the Autonomous Trains market worldwide?
Company Profiles
- ABB
- Alstom
- American Equipment Company
- Beijing Traffic Control Technology
- Belden
- Bharat Forge
- Bombardier
- CAF
- Calamp
- CRRC
- Deuta
- Deutsche Bahn
- General Electric
- Hitachi
- Hollysys
- Ingeteam
- Intesens
- Kawasaki Heavy Industries
- Mitsubishi Heavy Industries
- Siemens
- Tech Mahindra Ltd.
- Thales Group
- Transmashholding
- Tvema
- Wabtec Corporation
Market Segmentation
Level of Automation
- GOA 1
- GOA 2
- GOA 3
- GOA 4
Train Type
- Metro/Monorail
- Light Rail
- High-speed Rail/Bullet Train
Technology
- CBTC
- ERTMS
- PTC
- ATC
Application
- Passenger
- Freight
Component
- Tachometer
- Doppler
- Accelerometer
- Camera
- Antenna
- Radio Set
- Odometer
- RADAR
- LiDAR
For more information about this report visit https://www.researchandmarkets.com/r/e1dbhj
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