![]() |
市場調査レポート
商品コード
1624471
ロボタクシー市場:用途、推進タイプ、コンポーネントタイプ、地域別、2024年~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 |
||||||
|
ロボタクシー市場:用途、推進タイプ、コンポーネントタイプ、地域別、2024年~2031年 |
出版日: 2024年09月22日
発行: Verified Market Research
ページ情報: 英文 202 Pages
納期: 2~3営業日
|
ロボタクシー市場-評価、2024年~2031年
便利で費用対効果が高く、環境に優しい都市交通代替手段への需要の高まりが、ロボタクシー市場を牽引しています。Verified Market Researchのアナリストによると、ロボタクシー市場は、2023年の評価額4億米ドルを下回り、予測期間中に419億米ドルの評価額に達する見込みです。
人工知能、センサー技術、ネットワーキングの開発が自律走行車の開発を加速させ、ロボタクシー市場を促進しています。これにより、2024年から2031年にかけて、同市場はCAGR 79.82%で成長します。
ロボタクシー市場定義/概要
ロボタクシーとは、人間の運転手なしでタクシーサービスとして機能する車のことで、ロボットタクシーを略してロボタクシーと呼ばれます。高度なセンサー、カメラ、ライダー、レーダー、人工知能アルゴリズムが、高速道路を安全に横断し、障害物を識別し、乗客と通信するために、これらの車にすべて使用されています。信頼性が高く、実用的で手頃な交通手段を提供すると同時に、公害や交通渋滞、自家用車所有の需要を低下させることで、タクシー事業を完全に変革することができます。この開発は、完全に自律的な交通ネットワークを構築し、将来のモビリティを変革するための大きな一歩です。
さらに、ロボタクシーは主にラストワンマイルの接続問題を解決するために使用され、公共交通機関のハブと最終目的地間のシームレスな移動を可能にします。ロボタクシーは、特に公共交通機関の選択肢が少ない場所やオフピーク時に、オンデマンドで迅速かつ簡単な移動を提供することで、通勤者のアクセシビリティを向上させる。ロボタクシーはまた、無意味な移動を減らし、ルートを最適化することで、交通渋滞や公害を軽減します。また、信頼できる自律的な交通手段を提供することで、移動に不自由がある人々にも実行可能な選択肢を提供します。
自律走行技術における急速なブレークスルーが、ロボタクシー市場の基盤となっています。AIアルゴリズム、センサー技術(LiDAR、レーダー、カメラなど)、機械学習モデルの改善により、自律走行車の安全性、効率性、信頼性が大幅に向上しました。こうした開発により、ロボタクシーは都市部や郊外の複雑な環境でも走行できるようになり、広く一般に利用される現実的で魅力的な選択肢となった。
消費者とサービス提供者の双方にとって、ロボタクシーの経済的ケースは説得力があります。消費者にとってロボタクシーは、維持費、保険料、駐車場代といった自動車所有に伴うコストをかけずに、手頃な価格でオンデマンドの交通手段を提供することを約束します。サービス・プロバイダーや都市にとっては、ロボタクシーは交通渋滞とそれに伴う経済的経費を削減する可能性を秘めています。
さらに、技術が成熟し成長するにつれて、ロボタクシーのランニングコストは時間の経過とともに低下する可能性が高く、既存のタクシーサービスや自家用車に代わる経済的に実現可能な選択肢となります。
この地域で有効な厳しい規制ライセンシングと規制の枠組みは、ロボタクシーの導入に大きな障壁となる可能性が高いです。
政府や規制機関は、安全要件、事故に対する説明責任、プライバシーに関する懸念、サイバーセキュリティの危険性を扱う包括的な法律を作成しなければならないです。
こうした法規制の枠組みを利用するのは困難で時間がかかるため、多くの法域でロボタクシーサービスのイントロダクションと拡大の妨げとなっています。
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.
Our reports include actionable data and forward-looking analysis that help you craft pitches, create business plans, build presentations and write proposals.
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.