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市场调查报告书
商品编码
1624471
机器人计程车市场:按应用、推进类型、组件类型、地区划分,2024-2031 年Robo Taxi Market By Application (Goods, Passenger), Propulsion Type (Electric, Fuel Cell, Hybrid Electric Vehicle), Component Type (LiDAR, RADAR, Camera, Sensor), And Region for 2024 to 2031 |
机器人计程车市场 - 评估,2024-2031
对便利、经济高效且环保的城市交通替代方案的需求不断增长,正在推动机器人计程车市场的发展。Verified Market Research 分析师表示,预测期内机器人计程车市场估值将达到 419 亿美元,低于 2023 年 4 亿美元的估值。
人工智慧、感测器技术和网路的发展正在加速自动驾驶汽车的发展并推动机器人计程车市场的发展。因此,从2024年到2031年,市场将以79.82%的复合年增长率成长。
机器人计程车市场定义/概述
机器人计程车是一种无需人类驾驶提供计程车服务的车辆,简称机器人计程车。这些车辆均采用先进的传感器、摄影机、光达、雷达和人工智慧演算法来安全地穿越高速公路、识别障碍物并与乘客沟通。它可以透过提供可靠、实用和负担得起的交通,同时减少污染、交通拥堵和对私家车拥有量的需求,彻底改变计程车产业。这项发展是朝着创造完全自主的交通网络和改变未来移动性迈出的重要一步。
此外,机器人计程车主要用于解决最后一哩路的连接问题,以实现公共交通枢纽和最终目的地之间的无缝旅行。机器人计程车透过按需提供快速便捷的交通来改善通勤者的可及性,特别是在公共交通选择较少的地区和非高峰时段。机器人计程车还可以透过减少无意义的旅行和优化路线来减少交通拥堵和污染。它还透过提供可靠的自动交通为行动不便的人提供了可行的选择。
自动驾驶技术的快速突破是机器人计程车市场的基础。人工智慧演算法、感测器技术(光达、雷达、摄影机等)和机器学习模型的改进使自动驾驶汽车显着更安全、更有效率、更可靠。这些发展使机器人计程车能够在复杂的城市和郊区环境中运行,使其成为广泛公众使用的可行且有吸引力的选择。
机器人计程车的经济案例对于消费者和服务提供者来说都是引人注目的。对于消费者来说,机器人计程车承诺提供经济实惠的按需交通,而无需支付与拥有汽车相关的费用,例如维护费、保险费和停车费。对于服务提供者和城市来说,机器人计程车有可能减少交通拥堵和相关的经济成本。
此外,随着技术的成熟和发展,机器人计程车的运行成本可能会随着时间的推移而下降,使其成为现有计程车服务和私家车的经济上可行的替代方案。
该地区严格的监管许可和监管框架可能是机器人计程车采用的主要障碍。
政府和监管机构必须制定全面的法律来解决安全要求、事故责任、隐私问题和网路安全风险。
利用这些法律和监管框架既困难又耗时,阻碍了机器人计程车服务在许多司法管辖区的引入和扩展。
Robo Taxi Market-Valuation-2024-2031
The growing demand for convenient, cost-effective, and environmentally friendly urban transportation alternatives is driving the Robo Taxi Market forward. According to the analyst from Verified Market Research, the Robo Taxi Market is estimated to reach a valuation of USD 41.9 Billion over the forecast subjugating aroundUSD 0.4 Billion valued in 2023.
Advances in artificial intelligence, sensor technology, and networking are hastening the development of autonomous vehicles, hence propelling the Robo Taxi Market. It enables the market to grow at aCAGR of 79.82% from 2024 to 2031.
Robo Taxi Market: Definition/Overview
A robo taxi is a car that functions as a taxi service without a human driver is called a robo taxi short for a robotic taxi. Advanced sensors, cameras, lidar, radar, and artificial intelligence algorithms are all used by these cars to safely traverse highways, identify obstructions, and communicate with passengers. They can completely transform the taxi business by offering reliable, practical, and affordable transportation options while lowering pollution, traffic jams, and the demand for private vehicle ownership. This development is a big step toward creating completely autonomous transportation networks and transforming mobility in the future.
Furthermore, Robo taxis are primarily used to solve last-mile connectivity problems, allowing seamless transitions between public transportation hubs and ultimate destinations. Robo taxis increase commuter accessibility by offering quick and easy trips on demand, especially in places with few public transportation options or during off-peak hours. Robo taxis also lessen traffic congestion and pollution by cutting down on pointless journeys and optimizing routes. They also provide a workable option for people with mobility impairments by offering a dependable and autonomous form of transportation.
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Rapid breakthroughs in autonomous driving technologies are the foundation of the robo-taxi market. Improvements in AI algorithms, sensor technologies (such as LiDAR, radar, and cameras), and machine learning models have considerably improved autonomous cars' safety, efficiency, and reliability. These developments allow robo-taxis to negotiate complex urban and suburban surroundings, making them a viable and appealing choice for widespread public use.
The economic case for robo-taxis is compelling, for both consumers and service providers. For consumers, robo-taxis promises to provide affordable, on-demand transportation without the costs associated with car ownership, such as maintenance, insurance, and parking. For service providers and cities, robo-taxis has the potential to reduce traffic congestion and associated economic expenses.
Furthermore, robo-taxis' running costs are likely to fall over time as the technology matures and grows, making them a financially feasible alternative to existing taxi services and personal vehicles.
Stringent regulatory licensing and regulatory frameworks effective in the region is likely to pose significant barriers to the adoption of robo-taxis.
Governments and regulatory organizations have to create comprehensive legislation that handles safety requirements, accountability for accidents, privacy concerns, and cybersecurity hazards.
Navigating these legal and regulatory frameworks is hard and time-consuming, which hinders the introduction and expansion of robo-taxi services in many jurisdictions.
The LiDAR component segment is estimated to grow at the highest CAGR within the Robo Taxi Market. The distance between two cars is calculated using LiDAR, which reflects pulse light.
When sophisticated sensors are combined with it, it operates more accurately. Fast technical development in vehicle LiDAR and the rise of 4D LIDAR are anticipated to present profitable prospects for the expansion of the automotive LiDAR market.
Furthermore, it is anticipated that a spike in funding and investments in LIDAR companies will propel sector expansion. One of the most important parts of autonomous taxis for preventing collisions, avoiding other vehicles and pedestrians, and other functions, is radar. There is a growing trend to improve the signal bandwidth and range resolution of automotive-type radars.
The passenger segment is estimated to dominate the robo-taxi market during the forecast period. Significant advancements in autonomous vehicle (AV) technology, such as sensors, machine learning algorithms, and computer capacity, have made robo-taxis a feasible mode of passenger transportation. These developments allow robo-taxis to handle complex urban landscapes safely and quickly, making them a desirable option for consumers looking for convenient and dependable transportation solutions.
The change to ride-sharing and MaaS models is a crucial driver for the passenger application segment of the robo-taxi market. Consumers are increasingly seeking affordable, convenient, and environmentally friendly transportation alternatives to private car ownership. Robo-taxis fit nicely into this trend, as they have the potential to reduce traffic congestion, minimize transportation costs, and increase accessibility for a wide range of users, including people who are unable to drive due to age or disability.
Furthermore, rapid urbanization is putting pressure on existing transportation infrastructures in cities around the world, resulting in increased traffic congestion, pollution, and parking issues. Robo-taxis, which operates inside smart urban mobility frameworks, can provide efficient and flexible transportation solutions to supplement public transit networks. Cities may improve public transportation offerings, reduce dependency on personal vehicles, and transition to more sustainable and efficient urban mobility models by incorporating robo-taxis into the larger urban transportation network.
Asia Pacific region is estimated to exhibit the highest growth in the market during the forecast period. The rapid adoption of autonomous vehicle technology has resulted in the development of robust ecosystems supporting government efforts, IT giants, and startups all working toward the advancement of self-driving transportation in nations like China, Japan, and South Korea. China in particular has emerged as a hub for the development and application of robo-taxis thanks to its sizable market and government-sponsored programs.
Furthermore, the popularity of robo-taxis has also been fueled by the region's increasing middle class and crowded metropolitan surroundings, which have created a ripe market for on-demand transportation services.
In addition, companies have found a supportive climate for innovation because of too aggressive legislative frameworks and infrastructural investments intended to facilitate autonomous vehicle testing and implementation.
The European region is estimated to dominate the market during the forecast period. The European robo-taxi market is expanding steadily, propelled by rising public acceptance of driverless cars and an increased focus on environmentally friendly transportation options.
In large European cities, businesses like Waymo, and Tesla, and established automakers like BMW and Volkswagen are aggressively creating and implementing autonomous taxi services. These robo-taxi services lessen pollution and traffic congestion while providing quick and easy commuting options.
Furthermore, government infrastructure investments and regulatory assistance are also driving the growth of the robo-taxi Market in Europe. The market for robo-taxi is anticipated to continue growing as technology advances and public confidence in autonomous cars grows, changing the face of urban mobility throughout the continent.
The competitive landscape of the Robo Taxi Market is rapidly evolving, owing to the confluence of automotive technology, artificial intelligence, and ride-hailing services. Established automakers, tech behemoths, and start-ups are all fiercely battling for dominance in this developing market.
Some of the prominent players operating in the Robo Taxi Market include:
Waymo LLC, Tesla Inc., Uber Technologies Inc, Lyft, Inc, Baidu, Cruise LLC, Aptiv, Zoox, Inc, AB Volvo, Ford Motor Company, AutoX Inc., EasyMile, Beijing Xiaoju Technology Co. Ltd., MOIA.
In April 2023, Nissan unveiled a broad array of electric and seamlessly connected cars that are meant to surpass consumer expectations. Two EV concepts made their debut: the Max-Out convertible sports car, which debuted in China, and the Arizona SUV, which debuted globally. Arizona is built to satisfy China's wide range of mobility requirements.