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市場調查報告書
商品編碼
1771655
美國自動駕駛計程車市場規模、佔有率和趨勢分析報告,按推進類型、組件類型、自主程度、車輛類型、服務類型、應用、細分預測,2025 年至 2030 年U.S. Robo Taxi Market Size, Share & Trends Analysis Report By Propulsion Type, By Component Type, By Level Of Autonomy, By Vehicle Type, By Service Type, By Application, And Segment Forecasts, 2025 - 2030 |
預計 2024 年美國自動駕駛計程車市場價值將達到 4.5 億美元,2025 年至 2030 年的複合年成長率將達到 74.6%。
美國自動駕駛計程車產業的發展受到舊金山、洛杉磯、奧斯汀和鳳凰城等大都會圈先鋒城市政策舉措的推動。這些城市處於智慧交通實驗的前沿,地方政府積極試行自動駕駛出行區、擁塞定價模式以及自動駕駛汽車專用分區規範。市政府也與旅遊科技公司直接夥伴關係,共同發展符合當地永續性和交通管理目標的營運架構。這種分散式、城市主導的自動駕駛汽車應用模式在美國獨樹一幟,正在加速自動駕駛計程車服務在人口密集的城市走廊的商業部署。
與許多其他國家不同,美國自動駕駛計程車市場受益於競爭激烈的創新生態系統,這得益於資金雄厚的科技巨頭和充滿活力的新興企業文化。 Waymo、Cruise、Zoox(亞馬遜)和 Aurora 等公司正在利用雄厚的資本、專有技術堆疊和本地測試許可,快速迭代和完善其自動駕駛叫車平台。同時,一些規模較小的新興企業正在地圖繪製、安全軟體和自動駕駛車隊管理等領域開拓利基創新。美國的科技中心,尤其是加州和德克薩斯州,擁有高度集中的智慧財產權、創業投資資金和人才,確保了持續的創新,從而推動自動駕駛計程車市場向前發展。
在美國,優步和來福車等大型叫車公司正在策略性地將自動駕駛計程車納入其平台,方式包括內部開發或與自動駕駛公司合作。這種整合將帶來無縫的用戶體驗,並簡化現有叫車用戶的過渡。此外,自動駕駛計程車訂閱和捆綁式旅遊套餐等新經營模式正在美國部分市場進行測試。這些模式採用固定費率或按使用量計費,確保都市區通勤者的可預測性和可負擔性,標誌著從按次計費向基於服務的合約計費的轉變。
勞動市場的動態是美國自動駕駛計程車普及的獨特驅動力。持續的共乘和計程車駕駛人短缺,以及加州和紐約州等州工資上漲和就業法規的不斷完善,正促使營運商和出行公司加速向自動化轉型。自動駕駛計程車透過消除與駕駛員相關的營運成本和複雜的合規性,提供了極具吸引力的替代方案。這些以勞動力為中心的成本壓力在城市中心尤其明顯,因為這些城市對全天候出行服務的需求很高,而無人駕駛車隊的成本效益能夠帶來巨大的利潤。
美國保險業在推動自動駕駛計程車的普及方面發揮關鍵作用,他們開發了針對自動駕駛汽車的創新承保模式和責任框架。保險公司正在利用遠端資訊處理數據、自動駕駛汽車模擬平台和行為人工智慧來評估風險,並為自動駕駛計程車車隊制定客製化的保單。州一級的監管靈活性允許嘗試其他保險模式,例如基於使用量的定價和按車隊級別承保。美國保險公司的這種積極主動的適應措施降低了自動駕駛計程車可擴展性的主要商業性障礙之一,為投資和車隊擴張創造了更安全的環境。
The U.S. robo taxi market size was estimated at USD 0.45 billion in 2024 and is projected to grow at a CAGR of 74.6% from 2025 to 2030. The growth of the U.S. robo-taxi industry is driven by progressive urban policy initiatives in major metropolitan areas such as San Francisco, Los Angeles, Austin, and Phoenix. These cities are at the forefront of smart transportation experimentation, with municipal authorities actively piloting autonomous mobility zones, congestion pricing models, and AV-specific zoning codes. City governments are also forging direct partnerships with mobility tech firms to co-develop operational frameworks that align with local sustainability and traffic management goals. This decentralized, city-driven approach to AV adoption is unique to the U.S. and is accelerating the commercial rollout of robo-taxi services in high-density urban corridors.
Unlike many other countries, the U.S. robo taxi market benefits from a hyper-competitive innovation ecosystem fueled by well-funded technology giants and a vibrant startup culture. Companies such as Waymo, Cruise, Zoox (Amazon), and Aurora leverage significant capital, proprietary technology stacks, and local testing permissions to rapidly iterate and refine autonomous ride-hailing platforms. At the same time, smaller startups are carving out niche innovations in mapping, safety software, and autonomous fleet management. The high concentration of intellectual property, venture funding, and talent in U.S. tech hubs, particularly in California and Texas, ensures a continuous stream of innovation that propels the robo-taxi market forward.
In the U.S., established ride-hailing giants like Uber and Lyft are strategically positioning themselves to incorporate robo-taxis into their platforms, either through in-house development or partnerships with AV companies. This integration enables a seamless user experience and facilitates the transition for current ride-hail customers. Additionally, new business models such as robo-taxi subscriptions and bundled mobility packages are being tested in select U.S. markets. These models offer flat-rate or usage-based pricing, ensuring predictability and affordability for urban commuters and signaling a shift from per-ride charges to service-based contracts.
Labor market dynamics serve as a unique catalyst for robo-taxi adoption in the U.S. A persistent shortage of rideshare and taxi drivers, coupled with rising wages and employment regulations in states like California and New York, is propelling fleet operators and mobility companies to hasten the transition toward automation. Robo-taxis offer an appealing alternative by removing driver-related operational costs and compliance complexities. This labor-focused cost pressure is particularly noticeable in urban centers with high demand for 24/7 mobility services, where the cost-effectiveness of driverless fleets provides significant margin benefits.
The U.S. insurance industry plays a pivotal role in enabling robo-taxi deployments by developing innovative underwriting models and liability frameworks tailored to autonomous vehicles. Insurers leverage telematics data, AV simulation platforms, and behavioral AI to assess risk and create customized policies for robo-taxi fleets. Regulatory flexibility at the state level allows for experimentation with alternative insurance models, including usage-based pricing and fleet-level coverage. This proactive adaptation by U.S. insurers reduces one of the major commercial barriers to robo-taxi scalability and creates a more secure environment for investment and fleet expansion.
U.S. Robo Taxi Market Report Segmentation
This report forecasts revenue growth at the country level 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 U.S. robo taxi market report based on propulsion type, component type, level of autonomy, vehicle type,service type, and application: