로보택시 시장 평가(2024-2031년)
편리하고 비용 효율적이며 친환경적인 도시 교통 대안에 대한 수요 증가가 로보택시 시장을 주도하고 있으며, Verified Market Research의 애널리스트에 따르면, 로보택시 시장은 2023년 4억 달러의 가치에서 예측 기간 동안 419억 달러의 가치에 도달할 것으로 예상됩니다. 평가액에 도달할 것으로 예상됩니다.
인공지능, 센서 기술, 네트워킹의 발달로 자율주행차 개발이 가속화되면서 로보택시 시장을 촉진하고 있습니다. 이에 따라 2024년부터 2031년까지 연평균 79.82%의 CAGR로 성장할 것으로 예상됩니다.
로보택시 시장 정의/개요
로보택시란 인간 운전자 없이 택시 서비스 역할을 하는 자동차를 말하며, 로보택시를 줄여서 로보택시라고 부릅니다. 첨단 센서, 카메라, 라이더, 레이더, 인공지능 알고리즘이 고속도로를 안전하게 횡단하고, 장애물을 식별하고, 승객과 소통하기 위해 이 차량에 모두 사용됩니다. 신뢰할 수 있고 실용적이며 저렴한 교통 수단을 제공하는 동시에 공해와 교통 체증, 자가용 소유에 대한 수요를 감소시킴으로써 택시 사업을 완전히 변화시킬 수 있습니다. 이 개발은 완전히 자율적인 교통 네트워크를 구축하고 미래의 모빌리티를 혁신하기 위한 큰 발걸음입니다.
또한 로보택시는 주로 라스트 마일 연결 문제를 해결하는 데 사용되며, 대중교통 허브와 최종 목적지 사이의 원활한 이동을 가능하게 합니다. 로보택시는 특히 대중교통이 부족한 곳이나 교통량이 적은 시간대에 주문형으로 빠르고 간편한 이동을 제공함으로써 통근자의 접근성을 향상시킬 수 있습니다. 로보택시는 또한 무의미한 이동을 줄이고 경로를 최적화하여 교통 체증과 오염을 줄일 수 있습니다. 또한, 신뢰할 수 있는 자율적인 교통수단을 제공함으로써 거동이 불편한 사람들에게도 실행 가능한 선택권을 제공합니다.
AI 알고리즘, 센서 기술(LiDAR, 레이더, 카메라 등), 기계 학습 모델의 개선으로 자율주행 기술의 급속한 발전은 자율주행 차량의 안전성, 효율성 및 신뢰성을 크게 향상시켰습니다. 이러한 발전으로 로보택시는 도시와 교외의 복잡한 환경에서도 주행할 수 있게 되었으며, 일반 대중이 이용할 수 있는 현실적이고 매력적인 대안이 되었습니다.
소비자와 서비스 제공자 모두에게 로보택시의 경제적 논거는 설득력이 있습니다. 소비자에게는 유지비, 보험료, 주차비 등 자동차 소유에 따른 비용 부담 없이 저렴한 가격으로 주문형 교통수단을 제공할 수 있습니다. 서비스 제공자와 도시에 있어서는 교통 체증과 그에 따른 경제적 비용을 절감할 수 있는 잠재력을 가지고 있습니다.
또한, 기술이 성숙하고 성장함에 따라 로보택시의 운영비용은 시간이 지남에 따라 낮아질 가능성이 높으며, 기존 택시 서비스나 자가용을 대체할 수 있는 경제적인 대안이 될 수 있습니다.
이 지역에서 유효한 엄격한 규제 라이선스 및 규제 프레임워크는 로보택시 도입에 큰 장벽이 될 가능성이 높습니다.
정부와 규제 기관은 안전 요건, 사고에 대한 책임, 프라이버시 문제, 사이버 보안의 위험성을 다루는 종합적인 법률을 만들어야 합니다.
이러한 규제 프레임워크를 활용하는 것은 어렵고 시간이 오래 걸리기 때문에 많은 국가에서 로보택시 서비스 도입과 확장에 걸림돌이 되고 있습니다.
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.