市场调查报告书
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自动驾驶列车市场规模、份额、趋势分析报告:按自动化等级、列车类型、应用、地区、细分市场预测,2024-2030Autonomous Train Market Size, Share & Trends Analysis Report By Automation Grade, By Train Type, By Application (Passenger, Freight), By Region, And Segment Forecasts, 2024 - 2030 |
自动驾驶列车市场规模与趋势
预计 2023 年全球自动驾驶列车市场规模将达到 98.2 亿美元,2024 年至 2030 年复合年增长率预估为 5.9%。自动驾驶列车是一种无需人类驾驶人即可运行的列车。这项技术有可能透过提高效率和安全性来彻底改变铁路旅行。全球市场的推动因素包括对安全性的日益重视、对高效和永续运输的需求不断增加以及政府对自动驾驶列车技术的支持。
自动驾驶列车依靠感测器、摄影机、天线、雷射雷达(光探测和测距)、雷达(无线电探测和测距)和复杂的电脑系统的组合来识别周围环境并调整速度和煞车控制并遵守时间表。例如,2023年8月,先进感测和感知系统先驱Aeva Inc.宣布,铁路自动化解决方案提供商Railergy将使用Aeva Inc.的尖端调变连续波(FMCW)4D LiDAR该公司宣布已聘请该公司并将其自主列车运作解决方案的感知系统投入运作。
Aeva Inc. 的 Aeries II 感测器提供关键的即时速度资料和高解析度感测功能,能够侦测可能妨碍无人驾驶列车安全运行的障碍物。这些技术进步以及雷射雷达和雷达等技术在自动驾驶列车中的采用进一步推动了市场的成长。
此外,在都市化不断加快的挑战中,对改善流动性的需求不断增长,这进一步推动了市场的发展。随着都市区人口密度的增加,从公路交通到铁路交通的转变变得更加明显,为自动驾驶列车市场创造了诱人的机会。这种转变是由对高效和永续交通解决方案的需求所推动的,并且越来越重视环保的城市交通。此外,在可预见的未来,训练有素的驾驶人的短缺凸显了自动驾驶列车技术的紧迫性和相关性。
2030年6月,日立铁路STS宣布檀香山新地铁系统「Skyline」第一期工程完工并开始客运服务。这标誌着美国第一个全自动地铁系统的首次亮相。这种全电动系统将推动人们走向永续交通,从私家车转向更清洁、更少拥挤的环境。这项转变旨在减少排放气体,缓解交通拥堵,并使檀香山居民和游客受益。多家製造商的此类倡议预计将预示着市场成长。
自主列车系统的开发、安装和维护成本极为昂贵,对铁路营运商造成了巨大的财务障碍。自动驾驶列车需要对基础设施进行重大改变,而这些改变可能不适合现有的铁路网络,使整合和部署变得复杂。此外,自动驾驶系统可能难以有效应对不可预测的事件和紧急情况,并且可能无法达到人类驾驶人的适应和决策能力。此外,自动驾驶列车系统遭受骇客攻击和网路攻击的风险也是一个主要问题。有效的违规行为可能会导致火车瘫痪或被劫持,从而危及安全。因此,高成本、基础设施挑战和网路安全风险等因素可能会阻碍市场成长。
自动驾驶列车全球市场报告细分
该报告预测了全球、区域和国家层面的收益成长,并对2018年至2030年各子区隔的最新行业趋势进行了分析。在这项研究中,Grandview Research 根据自动化等级、列车类型、应用程式和地区对全球自动驾驶列车市场进行了细分。
美国。
加拿大
墨西哥
德国
英国
法国
中国
印度
日本
澳洲
韩国
巴西
阿拉伯聯合大公国
沙乌地阿拉伯王国
南非
Autonomous Train Market Size & Trends
The global autonomous train market size was estimated at USD 9.82 billion in 2023 and is expected to grow at a CAGR of 5.9% from 2024 to 2030. An autonomous train is a train capable of operating without a human driver. This technology has the potential to revolutionize rail travel by offering increased efficiency and safety. The global market is driven by factors such as increased safety focus, growing demand for efficient and sustainable transportation, and government support for autonomous technologies in trains.
Autonomous trains rely on a combination of sensors, cameras, antennas, Light Detection and Ranging (LIDAR), Radio Detection and Ranging (RADAR), and advanced computer systems to perceive their surroundings, control speed and braking, and adhere to schedules. For instance, in August 2023, Aeva Inc., a pioneer in advanced sensing and perception systems, announced that Railergy, a provider of railway automation solutions, has selected Aeva Inc.'s cutting-edge Frequency Modulated Continuous Wave (FMCW) 4D LiDAR technology to power the perception system for its autonomous train operation solution.
Aeva Inc.'s Aeries II sensors offer crucial real-time velocity data and high-resolution sensing capabilities, enabling the detection of obstacles that could potentially impede the safe operation of driverless trains. Thus, growing technological advancements and increased adoption of technologies such as LIDAR and RADAR in autonomous trains are further boosting the growth of the market.
Furthermore, the market is further driven by the rising demand for enhanced mobility amidst the challenges of increasing urbanization. As urban areas become more densely populated, the shift from road-based to rail-based transportation is becoming more evident, presenting a compelling opportunity for the autonomous train market. This transition is driven by the need for efficient and sustainable transportation solutions, aligning with the growing emphasis on environmentally friendly urban mobility. Moreover, the foreseeable shortage of trained drivers in the immediate future highlights the urgency and relevance of autonomous train technology.
In June 2030, Hitachi Rail STS announced the completion and commencement of passenger service for the first phase of Honolulu's new metro system, named 'Skyline'. This marks the debut of the first fully autonomous metro system in the U.S. The fully electrically powered system will transition individuals to sustainable transportation, shifting them away from private cars and toward a cleaner, less congested environment. This shift aims to diminish emissions and alleviate traffic congestion, benefitting both residents and visitors in Honolulu. Such initiatives by several manufacturers are expected to bode well for the growth of the market.
The development, installation, and maintenance of autonomous train systems can be extremely expensive, posing a significant financial barrier for rail operators. Autonomous trains require extensive infrastructure changes that may not be compatible with existing railway networks, making integration and deployment complex. In addition, autonomous systems may struggle to effectively respond to unpredictable events or emergencies, potentially falling short of the adaptability and decision-making capabilities of human drivers. In addition, the risk of hacking and cyberattacks on autonomous train systems is a major concern, as an effective breach could potentially disable or hijack the trains, compromising safety. Thus, factors such as high costs, infrastructure challenges, and cybersecurity risks could hamper the growth of the market.
Global Autonomous Train Market Report Segmentation
The report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global autonomous train market based on automation grade, train type, application and region.
U.S.
Canada
Mexico
Germany
UK
France
China
India
Japan
Australia
South Korea
Brazil
UAE
Kingdom of Saudi Arabia
South Africa