![]() |
市場調查報告書
商品編碼
1530194
自動駕駛列車市場規模、佔有率、趨勢分析報告:按自動化等級、列車類型、應用、地區、細分市場預測,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 |
自動駕駛列車市場規模與趨勢
預計 2023 年全球自動駕駛列車市場規模將達到 98.2 億美元,2024 年至 2030 年複合年成長率預估為 5.9%。自動駕駛列車是一種無需人類駕駛人即可運行的列車。這項技術有可能透過提高效率和安全性來徹底改變鐵路旅行。全球市場的推動因素包括對安全性的日益重視、對高效和永續運輸的需求不斷增加以及政府對自動駕駛列車技術的支持。
自動駕駛列車依靠感測器、攝影機、天線、雷射雷達(光探測和測距)、雷達(無線電探測和測距)和複雜的電腦系統的組合來識別周圍環境並調整速度和煞車控制並遵守時間表。例如,2023年8月,先進感測和感知系統先驅Aeva Inc.宣布,鐵路自動化解決方案提供商Railergy將使用Aeva Inc.的尖端調變連續波(FMCW)4D LiDAR該公司宣布已聘請該公司並將其自主列車運作解決方案的感知系統投入運作。
Aeva Inc. 的 Aeries II 感測器提供關鍵的即時速度資料和高解析度感測功能,能夠偵測可能妨礙無人駕駛列車安全運行的障礙物。這些技術進步以及雷射雷達和雷達等技術在自動駕駛列車中的採用進一步推動了市場的成長。
此外,在都市化不斷加快的挑戰中,對改善流動性的需求不斷成長,這進一步推動了市場的發展。隨著都市區人口密度的增加,從公路交通到鐵路交通的轉變變得更加明顯,為自動駕駛列車市場創造了誘人的機會。這種轉變是由對高效和永續交通解決方案的需求所推動的,並且越來越重視環保的城市交通。此外,在可預見的未來,訓練有素的駕駛人的短缺凸顯了自動駕駛列車技術的緊迫性和相關性。
2030年6月,日立鐵路STS宣布檀香山新地鐵系統「Skyline」第一期工程完工並開始客運服務。這標誌著美國第一個全自動地鐵系統的首次亮相。這種全電動系統將推動人們走向永續交通,從私家車轉向更清潔、更少擁擠的環境。這項轉變旨在減少排放氣體,緩解交通堵塞,並使檀香山居民和遊客受益。多家製造商的此類舉措預計將預示著市場成長。
自主列車系統的開發、安裝和維護成本極為昂貴,對鐵路營運商造成了巨大的財務障礙。自動駕駛列車需要對基礎設施進行重大改變,而這些改變可能不適合現有的鐵路網路,使整合和部署變得複雜。此外,自動駕駛系統可能難以有效應對不可預測的事件和緊急情況,並且可能無法達到人類駕駛人的適應和決策能力。此外,自動駕駛列車系統遭受駭客攻擊和網路攻擊的風險也是一個主要問題。有效的違規行為可能會導致火車癱瘓或被劫持,從而危及安全。因此,高成本、基礎設施挑戰和網路安全風險等因素可能會阻礙市場成長。
自動駕駛列車全球市場報告細分
該報告預測了全球、區域和國家層面的收益成長,並對2018年至2030年各子區隔的最新行業趨勢進行了分析。在這項研究中,Grandview Research 根據自動化等級、列車類型、應用程式和地區對全球自動駕駛列車市場進行了細分。
美國。
加拿大
墨西哥
德國
英國
法國
中國
印度
日本
澳洲
韓國
巴西
阿拉伯聯合大公國
沙烏地阿拉伯王國
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