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汇丰:Robotaxi行业:自动驾驶商业化临近但盈利道阻且长-250714(中译版)(41页).pdf

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1、 Disclosures&Disclaimer This report must be read with the disclosures and the analyst certifications in the Disclosure appendix,and with the Disclaimer,which forms part of it.Issuer of report:HSBC Bank plc View HSBC Global Research at:https:/ Listen to our insightsFind out moreHSBCGlobal InvestmentR

2、esearchPodcasts As vehicles transition to the next level of autonomous driving,robotaxis are on the cusp of becoming more widespread Given regulatory and societal acceptance challenges,we think the path to mass adoption will be gradual Wallet share limitations and requisite fleet infrastructure lead

3、 us to conclude returns expectations are widely exaggerated Robotaxis are not coming,they are already here:Despite suggestions of regulatory hurdles,Waymo is operating over 250k rides per week whilst operating in roughly five US cities.A move to end-to-end AI learning(rather than rules-based program

4、ming)has vastly accelerated the pace at which autonomous driving is evolving.At the same time,the cost of the requisite technology in terms of sensor set has reduced significantly.Together these developments have allowed first movers such as Waymo and Baidu to gain momentum,but they have also driven

5、 a resurgence in the number of companies working in the space.That bodes well for technological resilience,but less so for profitability.Beyond the hype,robotaxis are likely to be loss-leaders initially:the prospect of driverless cars may be exciting,but we believe the economics are misunderstood.Th

6、e simple calculation is a drivers wage represents c70%of the cost in a regular cab,so therefore a robotaxi should be materially more profitable even if the fares are somewhat lower.Our modelling suggests the contrary remote supervisors,parking/charging/cleaning and infrastructure costs,plus the incr

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根据报告的内容,本文主要讨论了自动驾驶出租车(robotaxis)的发展现状和前景。关键点如下: 1. **技术进步**:自动驾驶技术取得显著进步,Waymo已实现每周25万次无人驾驶出行,但商业化盈利仍面临挑战。 2. **市场规模**:自动驾驶出租车市场规模被高估,美国市场约430亿美元,全球市场约1900亿美元,但消费者支出预算有限。 3. **监管和接受度**:监管审批和公众接受度是推广自动驾驶出租车的主要障碍,不同地区监管要求不一,公众对自动驾驶的接受度参差不齐。 4. **特斯拉的挑战**:特斯拉在自动驾驶出租车领域面临硬件升级和监管障碍,其商业模式和盈利前景存在不确定性。 5. **行业前景**:自动驾驶出租车商业化进程将较为缓慢,行业前景存在不确定性,特斯拉在该领域的机会被高估。
机器人出租车市场有多大? 机器人出租车面临哪些障碍? 特斯拉机器人出租车前景如何?
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