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CB Insights:2024人工智能如何重塑汽车行业-纵观汽车价值链中的15项高动力技术报告(英文版)(19页).pdf

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1、How AI is reshaping the autoindustry:A look at 15high-momentumtechnologies across theautomotive value chainWe highlight emerging tech markets across automotive R&D,manufacturing,sales,vehicle use,and the aftermarket.Automotive firms are grappling with several disruptive forces.A major one is that th

2、e shift toward a fully electric,software-defined vehicle is drivingR&D and production costs higher while demanding more agility and flexibility fromautomakers.The growing adoption of new vehicle form factors will also change howvehicles are sold,used,and maintained,requiring new financing models and

3、 repairprocesses.Meanwhile,the proliferation of online car-buying and more sophisticated e-commercetechnology across other retail verticals has pressured automotive dealerships to investin an increasingly digital experience to meet car buyer expectations.In response to these trends,an emerging set o

4、f companies is leveraging large languagemodels(LLMs)and AI more broadly to build a new set of tools and capabilities acrossthe automotive value chain,from AI copilots used in manufacturing,sales,and servicing,to microfactories for production and automated vehicle inspection in the aftermarket.These

5、solutions hold substantial potential to help automotive players drive growth,improve visibility,and reduce costs across their lines of business.In this report,we use CB Insights data to identify 15 high-momentum technologymarkets across the automotive value chain.We focus on solutions that are seein

6、gpositive sentiment from investors at earlier deployment stages,but which we expect tohave a notable impact within the next 5-10 years.Our analysis factors in funding,analyst briefings,business relationships,headcount growth,Mosaic scores,and more.This report was created using the help of CBIs Insta

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根据报告的内容,本文主要概括了人工智能如何重塑汽车行业,并详细介绍了15种具有高增长潜力的技术。这些技术覆盖了汽车研发、制造、销售、使用和售后市场等各个环节。 关键点包括: 1. 人工智能和量子计算正在加速汽车的研发和生产,降低研发成本,并推动新设计、原型和材料的开发。 2. 先进的机器人和自动化解决方案正在提高汽车生产的效率,为下一代汽车的模块化生产奠定基础。 3. 人工智能正在使汽车销售过程更加个性化和高效,新的金融技术和互动工具正在加快销售周期并改善购车者的体验。 4. 连接的车辆技术正在使车辆的健康和安全状况实时可见,为原始设备制造商(OEM)提供宝贵的数据,以增强汽车价值链的其他方面和车载体验。 5. 聊天机器人和计算机视觉引导的检查解决方案正在提高车辆维修的效率,改善服务台的生产力和技术人员的准确性。 6. 投资者对汽车售后市场的人工智能聊天机器人和助手表现出浓厚兴趣,2023年该领域共筹集了1180万美元。 7. 自动化车辆检查技术利用计算机视觉检测可能被人类忽视的问题,帮助汽车维修店减少错误,同时缓解当前的劳动力短缺问题。 8. 随着车辆变得更加互联和自动化,维护和修理也将需要涵盖车辆软件和传感器。因此,一些公司正在利用人工智能、物联网和机器人技术来支持更复杂的车辆,例如传感器校准和数字编程。 总的来说,人工智能正在为汽车行业带来一系列创新,这些创新有望在未来5-10年内产生显著影响。
人工智能如何改变汽车研发? 量子计算在汽车材料模拟中的应用? 3D打印技术如何助力汽车生产?
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