米国のロボタクシー市場規模、成長と動向分析レポート 2025-2030年

米国のロボタクシー市場規模は2024年に4億5000万米ドルと推定され、2025年から2030年にかけて年平均成長率（CAGR）74.6%で成長すると予測されています。

米国のロボタクシー業界の成長は、サンフランシスコ、ロサンゼルス、オースティン、フェニックスなどの主要都市圏における先進的な都市政策イニシアチブによって推進されています。これらの都市はスマート交通実験の最前線にあり、自治体当局は自動運転モビリティゾーン、渋滞料金モデル、自動運転車専用のゾーニング規制などを積極的に試験的に導入しています。また、各都市政府はモビリティ技術企業と直接提携し、地域の持続可能性と交通管理目標に合致する運用フレームワークを共同開発しています。このような分散型で都市主導型の自動運転車導入アプローチは米国特有のものであり、人口密度の高い都市部におけるロボタクシーサービスの商業展開を加速させています。

本レポートは、国レベルでの収益成長を予測し、2018年から2030年までの各サブセグメントにおける最新の業界動向を分析しています。この調査のために、Grand View Researchは、推進方式、コンポーネントの種類、自律性のレベル、車両の種類、サービスの種類、およびアプリケーションに基づいて、米国のロボットタクシー市場レポートをセグメント化しました。

U.S. Robo Taxi Market Size & Trends

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.

Propulsion Type Insights

The electric vehicles segment led the U.S. robo taxi industry with the largest revenue share of 70.2% in 2024. Electric vehicles (EVs) are the dominant propulsion type in the robo-taxi market, driven by their alignment with global sustainability targets and the economic benefits they offer to fleet operators. EVs significantly reduce operating costs due to lower fuel and maintenance requirements, making them highly suitable for high-usage, autonomous ride-hailing applications. Governments in key regions such as the U.S., China, and the EU are offering strong regulatory support in the form of tax incentives, emissions regulations, and investment in EV charging infrastructure. Technological advancements in battery performance, such as increased range, faster charging, and longer lifecycle, have further bolstered the feasibility of electric robo-taxis for continuous urban operations. As cities push for net-zero transportation systems and expand low-emission zones, EV-based robo-taxi fleets are becoming a central pillar of smart urban mobility strategies.

The hybrid electric vehicles segment is projected to grow at a significant CAGR during the forecast period. Hybrid electric vehicles (HEVs) are gaining traction in the U.S. robo-taxi market as a flexible transitional solution, particularly in areas with limited EV charging infrastructure. In suburban, rural, and intercity routes where public charging networks are sparse or underdeveloped, HEVs provide a practical compromise, offering improved fuel efficiency and lower emissions without full dependence on electric grids. U.S. mobility companies are utilizing hybrids to broaden service coverage beyond core urban areas, ensuring consistent vehicle availability and an extended operational range. Moreover, HEVs assist fleet operators in testing lower-emission models while gradually increasing EV investments.

Component Type Insights

The LiDAR segment dominated the U.S. robo taxi market in 2024. The adoption of LiDAR is driven by stringent safety validation requirements set by federal and state regulators, especially in states like California, Arizona, and Texas, where autonomous testing is most prevalent. These regions require robust perception systems that can function effectively under varying environmental and traffic conditions. LiDAR’s capability to generate accurate 3D point clouds supports reliable obstacle detection and path planning, even in low-visibility situations such as fog or night driving, essential for meeting U.S. safety standards. Moreover, American AV developers are forming local partnerships with LiDAR companies like Luminar, Velodyne, and Aeva to enhance supply chain localization and lower system costs through vertical integration.

The camera segment is expected to grow significantly at a CAGR from 2025 to 2030. This segment is gaining strong momentum due to its affordability and rapid advancements in AI-driven visual processing. Major cities like Miami, Las Vegas, and Austin are serving as real-world pilot zones for autonomous vehicles, where camera-based systems provide a scalable method to collect and interpret visual cues such as traffic lights, crosswalks, and signage within the complex infrastructure of American roads. U.S. companies are combining cameras with advanced neural networks trained on large datasets derived from domestic driving conditions, which enhances localization and object classification accuracy. Additionally, the relatively low hardware costs make camera-centric setups appealing for regional operators and ride-hailing firms looking for cost-effective expansion across secondary U.S. cities.

Level of Autonomy Insights

The Level 4 segment dominated the U.S. robo taxi industry in 2024. Level 4 robo-taxis are gaining traction through city-specific pilot programs supported by forward-thinking municipal governments and flexible regulatory sandboxes. Cities like Phoenix, San Francisco, and Austin have designated geofenced zones with AV-friendly infrastructure, allowing Level 4 vehicles to operate safely within well-mapped environments. This localized approach enables developers like Waymo and Cruise to tailor their autonomous systems to the unique traffic patterns, signage, and infrastructure of each city, boosting reliability and operational performance. Additionally, public transit agencies and local DOTs are increasingly collaborating with AV firms to integrate Level 4 robo-taxis into micro-mobility and last-mile transit initiatives. These partnerships are helping to ease public concerns, reduce transportation deserts, and encourage broader community acceptance of limited-scope autonomy.

The Level 5 segment is projected to grow at the fastest CAGR during the forecast period. Government-funded initiatives, such as those by the U.S. Department of Transportation and the National Science Foundation, are supporting R&D in edge-case detection, adversarial AI safety, and extreme weather performance, all critical for achieving true Level 5 capabilities. Moreover, leading U.S. universities and tech companies are forming consortia to simulate and stress-test Level 5 systems in complex urban and rural scenarios. The U.S. also benefits from its diverse geography and road conditions, providing a wide range of testing environments ideal for refining all-condition, full-autonomy performance. While commercial use remains distant, the strategic alignment of public and private stakeholders is steadily propelling the U.S. robo-taxi market toward a Level 5 future.

Vehicle Type Insights

The cars segment dominated the market in 2024. In the U.S. robo-taxi market, cars dominate due to their compatibility with existing urban infrastructure and regulatory preferences. Major metropolitan areas like San Francisco, Los Angeles, and Miami, where robo-taxi trials are most concentrated, present dense traffic conditions and limited curb space, making compact autonomous cars the most practical solution. U.S. regulators and insurance bodies have shown greater willingness to approve car-based autonomous systems, considering their alignment with traditional vehicle classifications and safety standards. Additionally, American consumers tend to associate passenger cars with personal comfort and privacy, which boosts ridership confidence during early-stage adoption.

The shuttles/vans segment is projected to grow at the fastest CAGR from 2025 to 2030. Shuttles/vans are gaining significant momentum in the U.S. robo-taxi landscape, particularly through partnerships with institutions such as universities, hospitals, and municipal transit authorities. These organizations are deploying autonomous shuttles in controlled environments like campus loops, industrial parks, and downtown circulators where predictable routes and moderate speeds align well with current autonomous capabilities. Cities such as Arlington (Texas), Las Vegas, and Jacksonville have initiated pilot programs with autonomous shuttles to improve public transit connectivity and address service gaps in underserved areas. Federal funding through smart city and transportation grants is further supporting these deployments, as shuttles are viewed as enablers of equitable, shared mobility.

Service Type Insights

The car rental segment led the market in 2024 and is forecasted to grow at a significant CAGR throughout the forecast period. In the U.S. robo-taxi industry, the car rental model continues to dominate due to its seamless integration with the country’s entrenched ride-hailing ecosystem. The success of platforms like Uber and Lyft has conditioned American consumers to prefer app-based, point-to-point transportation, a trend that autonomous mobility providers like Waymo and Cruise have utilized. Urban centers such as Phoenix, San Francisco, and Las Vegas are experiencing a rise in the adoption of on-demand robo-taxi fleets, where users summon vehicles through intuitive digital interfaces that feature real-time tracking and dynamic pricing. The car rental model also enables companies to enhance fleet deployment based on demand pattern heat maps, increasing efficiency in high-traffic areas and during peak hours.

The station-based segment is projected to grow at the fastest CAGR over the forecast period. Although still emerging, the station-based robo-taxi model is gaining traction in the U.S., particularly in planned environments such as corporate campuses, university towns, retirement communities, and transit-oriented developments. The predictability of the station-based model makes it attractive for public-private partnerships, where regulatory compliance, safety monitoring, and insurance protocols are easier to implement across defined operational design domains (ODDs). Furthermore, integration with commuter rail stations, airports, and major bus hubs enhances the value of station-based robo-taxis as a key component of multimodal transit strategies.

Application Insights

The passenger segment held the largest market share in 2024. With cities like San Francisco, Austin, and Miami embracing autonomous vehicle trials, the demand for flexible, tech-enabled transport solutions has surged. Younger generations in the U.S., especially Millennials and Gen Z, are more inclined toward mobility-as-a-service (MaaS) over personal car ownership, favoring subscription-based and pay-per-use models. These demographics are highly responsive to app-based platforms that offer seamless booking, live tracking, and contactless payments, enhancing the appeal of robo-taxis. Moreover, U.S. employers are beginning to view autonomous commuting as an employee benefit in high-density tech corridors, further accelerating adoption in business districts and innovation hubs. As American cities continue to pilot “zero-emission” zones and urban redesign projects, robo-taxis for passengers are expected to serve as a vital alternative to traditional ride-hailing.

The goods segment is expected to grow at a significant CAGR during the forecast period. This segment is expanding rapidly, driven by the country’s booming e-commerce industry and ongoing driver shortages in the logistics sector. Major retailers and delivery platforms such as Amazon, Walmart, and FedEx are partnering with autonomous vehicle startups to test last-mile delivery solutions in suburban neighborhoods and commercial districts. Cities with high order density, including Los Angeles, Houston, and Chicago, have become key testing grounds for these autonomous goods vehicles. In addition to lowering delivery costs, robo-taxis for goods are assisting businesses in meeting rising consumer expectations for fast, contactless, and round-the-clock delivery. Regulatory agencies in the U.S. have also displayed greater leniency toward unmanned cargo movement, facilitating the quicker deployment of delivery-focused AVs compared to those for passenger transport.

Key U.S. Robo Taxi Company Insights

Some of the major players in the U.S. robo-taxi market include Waymo LLC, Cruise LLC, Tesla Inc., Aptiv, and Uber Technologies Inc. These companies are making significant investments in AI, vehicle autonomy, sensor technology, and fleet operations, aiming to revolutionize urban mobility through safe, efficient, and driverless transportation. Their real-world testing across various cityscapes, partnerships with OEMs and regulators, and scalable platforms have positioned the U.S. at the forefront of global autonomous mobility innovation.

• Waymo LLC, a subsidiary of Alphabet Inc., is widely regarded as a pioneer in the autonomous vehicle and robo-taxi industry. With its flagship service, Waymo One, the company operates fully driverless robo-taxis in several U.S. cities, including Phoenix, San Francisco, Los Angeles, and Austin. By leveraging advanced sensor technologies, AI-powered driving systems, and millions of autonomous miles logged, Waymo has positioned itself as one of the most mature and commercially viable players in the market. The company’s emphasis on safety, scalability, and user experience has allowed it to spearhead the development of autonomous urban mobility, establishing benchmarks for the industry worldwide.
• Cruise is aggressively scaling its autonomous vehicle fleet in U.S. cities like San Francisco and Phoenix. The company focuses on all-electric autonomous ride-hailing and benefits from GM’s manufacturing and engineering support. Cruise’s robo-taxis are designed for dense urban deployment, featuring redundant systems, advanced perception capabilities, and vehicle-to-cloud connectivity. Despite facing some regulatory challenges in 2024, Cruise continues to invest in technology development and safety protocols, positioning itself as a strong contender in the long-term transformation of urban mobility.

Recent Developments

• In May 2025, Tesla, Inc. announced it would begin testing its long-anticipated robotaxi service in Austin, Texas, by the end of June. The initial rollout will include around 10 self-driving vehicles operating in select areas of the city. Over the following months, the company plans to scale the fleet up to approximately 1,000 vehicles. This move comes as Tesla continues to push forward with its autonomous vehicle ambitions. However, the launch coincides with ongoing safety scrutiny from a U.S. regulatory body.
• In July 2024, Waymo LLC secured a USD 5 billion multi-year investment announced during Alphabet’s Q2 2024 earnings call. The funding supported Waymo’s expansion, which had already completed over 2 million trips and accumulated more than 20 million fully autonomous miles. By mid-2024, Waymo was delivering over 50,000 weekly paid rides in cities like San Francisco and Phoenix, and began offering commercial services in Los Angeles while preparing to launch in Austin. The company surged ahead in the robo-taxi market after rival Cruise suffered a major setback due to a pedestrian injury incident in San Francisco, leading to license suspensions and project cancellations. As Cruise struggled with fallout, including GM canceling its Origin robo-taxi, Waymo solidified its leadership in the autonomous mobility space.

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:

• Propulsion Type Outlook (Revenue, USD Million, 2018 – 2030)
  • Electric Vehicles
  • Hybrid Electric Vehicles
  • Fuel Cell Vehicle
• Component Type Outlook (Revenue, USD Million, 2018 – 2030)
  • LiDAR
  • Radar
  • Camera
  • Sensor
• Level of Autonomy Outlook (Revenue, USD Million, 2018 – 2030)
  • Level 4
  • Level 5
• Vehicle Type Outlook (Revenue, USD Million, 2018 – 2030)
  • Cars
  • Shuttles/Vans
• Service Type Outlook (Revenue, USD Million, 2018 – 2030)
  • Car Rental
  • Station-based
• Application Outlook (Revenue, USD Million, 2018 – 2030)
  • Passenger
  • Goods

Table of Contents

Chapter 1. Methodology and Scope
1.1. Market Segmentation and Scope
1.2. Research Methodology
1.2.1. Information Procurement
1.3. Information or Data Analysis
1.4. Methodology
1.5. Research Scope and Assumptions
1.6. Market Formulation & Validation
1.7. Country Based Segment Share Calculation
1.8. List of Data Sources
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
Chapter 3. U.S. Robo Taxi Market Variables, Trends, & Scope
3.1. Market Lineage Outlook
3.2. Market Dynamics
3.2.1. Market Driver Analysis
3.2.2. Market Restraint Analysis
3.2.3. Industry Challenge
3.3. U.S. Robo Taxi Market Analysis Tools
3.3.1. Industry Analysis – Porter’s
3.3.1.1. Bargaining power of the suppliers
3.3.1.2. Bargaining power of the buyers
3.3.1.3. Threats of substitution
3.3.1.4. Threats from new entrants
3.3.1.5. Competitive rivalry
3.3.2. PESTEL Analysis
3.3.2.1. Political landscape
3.3.2.2. Economic landscape
3.3.2.3. Social landscape
3.3.2.4. Technological landscape
3.3.2.5. Environmental landscape
3.3.2.6. Legal landscape
Chapter 4. U.S. Robo Taxi Market: Propulsion Type Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. U.S. Robo Taxi Market: Propulsion Type Movement Analysis, 2024 & 2030 (USD Million)
4.3. Electric Vehicles
4.3.1. Electric Vehicles Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
4.4. Hybrid Electric Vehicles
4.4.1. Hybrid Electric Vehicles Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
4.5. Fuel Cell Vehicles
4.5.1. Fuel Cell Vehicles Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
Chapter 5. U.S. Robo Taxi Market: Component Type Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. U.S. Robo Taxi Market: Component Type Movement Analysis, 2024 & 2030 (USD Million)
5.3. LiDAR
5.3.1. LiDAR Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
5.4. Radar
5.4.1. Radar Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
5.5. Camera
5.5.1. NFV Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
5.6. Sensors
5.6.1. Sensors Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
Chapter 6. U.S. Robo Taxi Market: Level of Autonomy Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. U.S. Robo Taxi Market: Level of Autonomy Movement Analysis, 2024 & 2030 (USD Million)
6.3. Level 4
6.3.1. Level 4 Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
6.4. Level 5
6.4.1. Level 5 Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
Chapter 7. U.S. Robo Taxi Market: Vehicle Type Estimates & Trend Analysis
7.1. Segment Dashboard
7.2. U.S. Robo Taxi Market: Vehicle Type Movement Analysis, 2024 & 2030 (USD Million)
7.3. Cars
7.3.1. Cars Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
7.4. Shuttles/Vans
7.4.1. Shuttles/Vans Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
Chapter 8. U.S. Robo Taxi Market: Service Type Estimates & Trend Analysis
8.1. Segment Dashboard
8.2. U.S. Robo Taxi Market: Service Type Movement Analysis, 2024 & 2030 (USD Million)
8.3. Car Rental
8.3.1. Car Rental Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
8.4. Shuttles/Vans
8.4.1. Shuttles/Vans Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
Chapter 9. U.S. Robo Taxi Market: Application Estimates & Trend Analysis
9.1. Segment Dashboard
9.2. U.S. Robo Taxi Market: Application Movement Analysis, 2024 & 2030 (USD Million)
9.3. Passengers
9.3.1. Passengers Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
9.4. Goods
9.4.1. Goods Market Revenue Estimates and Forecasts, 2018 – 2030 (USD Million)
Chapter 10. Competitive Landscape
10.1. Company Categorization
10.2. Company Market Positioning
10.3. Company Heat Map Analysis
10.4. Company Profiles/Listing
10.4.1. Waymo LLC
10.4.1.1. Participant’s Overview
10.4.1.2. Financial Performance
10.4.1.3. Product Benchmarking
10.4.1.4. Strategic Initiatives
10.4.2. Cruise LLC
10.4.2.1. Participant’s Overview
10.4.2.2. Financial Performance
10.4.2.3. Product Benchmarking
10.4.2.4. Strategic Initiatives
10.4.3. Tesla Inc.
10.4.3.1. Participant’s Overview
10.4.3.2. Financial Performance
10.4.3.3. Product Benchmarking
10.4.3.4. Strategic Initiatives
10.4.4. Aptiv
10.4.4.1. Participant’s Overview
10.4.4.2. Financial Performance
10.4.4.3. Product Benchmarking
10.4.4.4. Strategic Initiatives
10.4.5. Uber Technologies Inc.
10.4.5.1. Participant’s Overview
10.4.5.2. Financial Performance
10.4.5.3. Product Benchmarking
10.4.5.4. Strategic Initiatives
10.4.6. Lyft, Inc.
10.4.6.1. Participant’s Overview
10.4.6.2. Financial Performance
10.4.6.3. Product Benchmarking
10.4.6.4. Strategic Initiatives
10.4.7. Zoox, Inc.
10.4.7.1. Participant’s Overview
10.4.7.2. Financial Performance
10.4.7.3. Product Benchmarking
10.4.7.4. Strategic Initiatives
10.4.8. Aurora Operations, Inc.
10.4.8.1. Participant’s Overview
10.4.8.2. Financial Performance
10.4.8.3. Product Benchmarking
10.4.8.4. Strategic Initiatives
10.4.9. Nuro
10.4.9.1. Participant’s Overview
10.4.9.2. Financial Performance
10.4.9.3. Product Benchmarking
10.4.9.4. Strategic Initiatives
10.4.10. Gatik
10.4.10.1. Participant’s Overview
10.4.10.2. Financial Performance
10.4.10.3. Product Benchmarking
10.4.10.4. Strategic Initiatives

List of Tables

Table 1 U.S. Robo Taxi Market size estimates & forecasts 2018 – 2030 (USD Million)
Table 2 U.S. Robo Taxi Market, by Propulsion Type, 2018 – 2030 (USD Million)
Table 3 U.S. Robo Taxi Market, By Component Type, 2018 – 2030 (USD Million)
Table 4 U.S. Robo Taxi Market, by Level of Autonomy, 2018 – 2030 (USD Million)
Table 5 U.S. Robo Taxi Market, by Vehicle Type, 2018 – 2030 (USD Million)
Table 6 U.S. Robo Taxi Market, by Service Type, 2018 – 2030 (USD Million)
Table 7 U.S. Robo Taxi Market, by Application, 2018 – 2030 (USD Million)
Table 8 Electric Vehicles Market, by Region, 2018 – 2030 (USD Million)
Table 9 Hybrid Electric Vehicles Market, by Region, 2018 – 2030 (USD Million)
Table 10 Fuel Cell Vehicles Market, by Region, 2018 – 2030 (USD Million)
Table 11 LiDAR Market, by Region, 2018 – 2030 (USD Million)
Table 12 Radar Market, by Region, 2018 – 2030 (USD Million)
Table 13 Camera Market, by Region, 2018 – 2030 (USD Million)
Table 14 Sensors Market, by Region, 2018 – 2030 (USD Million)
Table 15 Level 4 Market, by Region, 2018 – 2030 (USD Million)
Table 16 Level 5 Market, by Region, 2018 – 2030 (USD Million)
Table 17 Cars Market, by Region, 2018 – 2030 (USD Million)
Table 18 Shuttles/Vans Market, by Region, 2018 – 2030 (USD Million)
Table 19 Car Rental Market, by Region, 2018 – 2030 (USD Million)
Table 20 Station-based Market, by Region, 2018 – 2030 (USD Million)
Table 21 Passenger Market, by Region, 2018 – 2030 (USD Million)
Table 22 Goods Market, by Region, 2018 – 2030 (USD Million)

List of Figures

Fig. 1 U.S. Robo Taxi Market segmentation
Fig. 2 Market research deployment mode
Fig. 3 Information procurement
Fig. 4 Primary research pattern
Fig. 5 Market research approaches
Fig. 6 Value chain-based sizing & forecasting
Fig. 7 Parent market analysis
Fig. 8 Market formulation & validation
Fig. 9 U.S. Robo Taxi Market snapshot
Fig. 10 U.S. Robo Taxi Market segment snapshot
Fig. 11 U.S. Robo Taxi Market competitive landscape snapshot
Fig. 12 Market research deployment mode
Fig. 13 Market driver relevance analysis (Current & future impact)
Fig. 14 Market restraint relevance analysis (Current & future impact)
Fig. 15 U.S. Robo Taxi Market: Propulsion Type outlook key takeaways (USD Million)
Fig. 16 U.S. Robo Taxi Market: Propulsion Type movement analysis 2024 & 2030 (USD Million)
Fig. 17 Electric Vehicles market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 18 Hybrid Electric Vehicles market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 19 Fuel Cell Vehicles market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 20 U.S. Robo Taxi Market: Component Type outlook key takeaways (USD Million)
Fig. 21 U.S. Robo Taxi Market: Component Type movement analysis 2024 & 2030 (USD Million)
Fig. 22 LiDAR market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 23 Radar market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 24 Camera market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 25 Sensors market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 26 U.S. Robo Taxi Market: Level of Autonomy outlook key takeaways (USD Million)
Fig. 27 U.S. Robo Taxi Market: Level of Autonomy movement analysis 2024 & 2030 (USD Million)
Fig. 28 Level 4 market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 29 Level 5 market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 30 U.S. Robo Taxi Market: Vehicle Type outlook key takeaways (USD Million)
Fig. 31 U.S. Robo Taxi Market: Vehicle Type movement analysis 2024 & 2030 (USD Million)
Fig. 32 Cars market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 33 Shuttles/Vans market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 34 U.S. Robo Taxi Market: Service Type outlook key takeaways (USD Million)
Fig. 35 U.S. Robo Taxi Market: Service Type movement analysis 2024 & 2030 (USD Million)
Fig. 36 Car Rental market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 37 Station-based market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 38 U.S. Robo Taxi Market: Application outlook key takeaways (USD Million)
Fig. 39 U.S. Robo Taxi Market: Application movement analysis 2024 & 2030 (USD Million)
Fig. 40 Passenger market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 41 Goods market revenue estimates and forecasts, 2018 – 2030 (USD Million)
Fig. 42 Strategy framework
Fig. 43 Company Categorization

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