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市場調查報告書
商品編碼
1624471
機器人計程車市場:按應用、推進類型、組件類型、地區劃分,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 |
機器人計程車市場 - 評估,2024-2031
對便利、經濟高效且環保的城市交通替代方案的需求不斷增長,正在推動機器人計程車市場的發展。Verified Market Research 分析師表示,預測期內機器人計程車市場估值將達到 419 億美元,低於 2023 年 4 億美元的估值。
人工智慧、感測器技術和網路的發展正在加速自動駕駛汽車的發展並推動機器人計程車市場的發展。因此,從2024年到2031年,市場將以79.82%的複合年增長率成長。
機器人計程車市場定義/概述
機器人計程車是一種無需人類駕駛提供計程車服務的車輛,簡稱機器人計程車。這些車輛均採用先進的傳感器、攝影機、光達、雷達和人工智慧演算法來安全地穿越高速公路、識別障礙物並與乘客溝通。它可以透過提供可靠、實用和負擔得起的交通,同時減少污染、交通擁堵和對私家車擁有量的需求,徹底改變計程車產業。這項發展是朝著創造完全自主的交通網絡和改變未來移動性邁出的重要一步。
此外,機器人計程車主要用於解決最後一哩路的連接問題,以實現公共交通樞紐和最終目的地之間的無縫旅行。機器人計程車透過按需提供快速便捷的交通來改善通勤者的可及性,特別是在公共交通選擇較少的地區和非高峰時段。機器人計程車還可以透過減少無意義的旅行和優化路線來減少交通擁堵和污染。它還透過提供可靠的自動交通為行動不便的人提供了可行的選擇。
自動駕駛技術的快速突破是機器人計程車市場的基礎。人工智慧演算法、感測器技術(光達、雷達、攝影機等)和機器學習模型的改進使自動駕駛汽車顯著更安全、更有效率、更可靠。這些發展使機器人計程車能夠在複雜的城市和郊區環境中運行,使其成為廣泛公眾使用的可行且有吸引力的選擇。
機器人計程車的經濟案例對於消費者和服務提供者來說都是引人注目的。對於消費者來說,機器人計程車承諾提供經濟實惠的按需交通,而無需支付與擁有汽車相關的費用,例如維護費、保險費和停車費。對於服務提供者和城市來說,機器人計程車有可能減少交通擁堵和相關的經濟成本。
此外,隨著技術的成熟和發展,機器人計程車的運行成本可能會隨著時間的推移而下降,使其成為現有計程車服務和私家車的經濟上可行的替代方案。
該地區嚴格的監管許可和監管框架可能是機器人計程車採用的主要障礙。
政府和監管機構必須制定全面的法律來解決安全要求、事故責任、隱私問題和網路安全風險。
利用這些法律和監管框架既困難又耗時,阻礙了機器人計程車服務在許多司法管轄區的引入和擴展。
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.