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市場調查報告書
商品編碼
1836975

全球自動駕駛計程車市場（按車輛類型、服務類型、票價模式、所有權模式和應用）預測 2025-2032

Robo-taxi Market by Vehicle Type, Service Type, Fare Model, Ownership Model, Application - Global Forecast 2025-2032
出版日期: | 出版商: 360iResearch | 英文 193 Pages | 商品交期: 最快1-2個工作天內

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預計到 2032 年，自動駕駛計程車市場規模將成長至 644.3 億美元，複合年成長率為 44.68%。

主要市場統計數據
基準年2024年 33.5億美元
預計2025年 48.7億美元
預測年份：2032年 644.3億美元
複合年成長率（%） 44.68%

全面觀點融合技術、不斷發展的城市政策以及不斷變化的消費者期望如何加速自動駕駛服務的商業化

自動駕駛出行服務的興起正在再形成城市交通，並重新定義人們對便利性、成本和可及性的期望。感測、人工智慧和互聯互通等技術的整合已日趨成熟，試點部署正朝著在人口密集的城市走廊和部分郊區進行大規模商業試驗的方向發展。因此，討論的焦點正從概念驗證轉向營運設計、監管協調以及整個營運生命週期的商業性可行性等問題。

本執行摘要全面概述了影響自動駕駛計程車部署和應用的跨行業發展，涵蓋車輛架構、服務模式、票價結構和所有權結構等各個方面。它探討了不斷變化的消費者偏好、公共部門優先事項和私人投資如何相互交織，從而創造出新的服務提案。它檢驗了公司在平衡資本強度、路線最佳化和人工監督方面面臨的營運權衡，同時強調了原始設備製造商、出行營運商和城市機構之間的夥伴關係對於減少摩擦和加速現實世界的可擴展性至關重要。

本介紹透過根據當前技術力和監管預期提供策略考慮，為更深入地分析市場動態、供應鏈壓力和差異化價值提案奠定了基礎，旨在讓高管清楚地了解決定城市交通走廊近期試點和中期商業性成功的槓桿。

對重塑自動駕駛出行生態系統的技術進步、監管成熟度和多樣化商業模式進行清晰評估

過去幾年，一場變革性的轉變正在悄悄興起，改變自動駕駛出行的競爭格局以及更廣泛的交通運輸格局。在感測器融合和邊緣運算的推動下，感知系統的進步降低了複雜城市環境中的延遲並提高了可靠性。同時，模擬環境和基於模型的檢驗流程的日益成熟，降低了安全檢驗所需的時間和成本，並使涵蓋不同駕駛領域的更具挑戰性的道路試驗成為可能。

監管格局正從一刀切的謹慎模式演變為更具針對性的框架，允許在既定的營運設計領域內逐步實現自主權。這種轉變鼓勵逐步部署，但也帶來了營運商必須應對的一系列本地需求。同時，商業模式也日趨多元化。營運商正在嘗試共乘、針對高頻通勤者的固定費率套餐，以及將固定路線微出行與按需自動駕駛班車相結合的混合服務。此類經營模式實驗對於了解利用率閾值和設計支持永續單位經濟效益的動態定價策略至關重要。

另一個重大變化是供應鏈和製造佈局的重新配置。原始設備製造商和供應商正在試驗針對自動駕駛最佳化的模組化汽車平臺和標準化計算堆棧，以降低整合成本。隨著各方都尋求將硬體專業知識與營運技術相結合，汽車製造商、一級供應商和軟體優先的出行公司之間的夥伴關係正變得越來越普遍。總而言之，這些轉變表明生態系統正在從孤立的實驗轉向可擴展、可互通的系統，這些系統可以根據實際性能數據快速迭代。

近期貿易行動如何改變2025年自動駕駛汽車價值鏈的籌資策略、供應商關係、車隊經濟效益與投資重點

貿易和關稅制度的政策變化正在對汽車製造、零件採購和車隊營運的經濟效益產生切實的影響，而美國將於2025年宣布或實施的關稅措施，正在放大這些影響，對自動駕駛計程車價值鏈中的相關人員產生影響。針對進口汽車零件、半導體和電池單元的關稅，正在提高依賴複雜硬體的車隊建設和維護的邊際成本。為此，原始設備製造商和系統整合商正在重新評估籌資策略，並加快在關稅優惠地區內本地化關鍵供應線或尋找合格的替代供應商。

這些貿易措施也影響供應商關係和研發藍圖。擁有全球製造地的供應商正在調整其分配策略，以減輕關稅的影響，優先為國內市場生產，同時將出口轉向貿易安排更有利的地區。對於擁有混合車隊的旅遊營運商而言，這種動態導致其重新調整採購計劃，並更加重視全生命週期成本分析，而非簡單的單價比較。在某些情況下，企業正在加快對標準化零件架構的投資，以提高相容性，並減少易受關稅波動影響的單一來源零件的風險。

在營運方面，不斷上升的投入成本對車輛利用策略和服務定價造成壓力。營運商試圖透過改進路線演算法、提高平均出行密度以及引入差異化服務等級來維持網路效率，以更好地應對變動成本負擔。公共機構和市政當局對此作出了回應，重新審視了試點計畫的採購規範，並傾向於選擇能夠更好地抵禦政策主導成本波動的車輛和技術堆疊。同時，各國政府也正在探索補充獎勵和採購偏好機制，以鼓勵國內生產並維持關鍵製造業的勞動力連續性。

最後，關稅影響了投資流動和夥伴關係的形成。創投家和企業投資者正在對供應鏈風險進行更細緻的盡職調查，並傾向於建立整合製造彈性和在地採購控制的合作夥伴關係。汽車製造商、電池製造商和軟體供應商之間的策略聯盟正在激增，許多公司正在尋求合資企業結構，以降低資本密集型生產風險，同時保持對先進技術平台的存取。累積效應是，該產業正在積極平衡短期成本壓力與長期規劃，以實現韌性、垂直整合和生產區域化。

以細分市場為中心的洞察，將車輛架構、服務結構、票價機制、所有權模式和應用領域與營運設計和商業化潛力聯繫起來

要了解需求和營運動態，需要詳細了解車輛架構、服務配置、票價機制、所有權模式和應用領域。車輛選擇會影響平台功能和能源策略。電動車架構因其排放氣體和與集中式車隊充電的更高相容性而日益受到青睞，而混合動力配置則在充電基礎設施仍然參差不齊的市場中提供了過渡靈活性。雖然內燃機平台在短期資本約束和基礎設施差距持續存在的情況下仍將發揮重要作用，但電氣化趨勢正在重塑生命週期維護預期和服務間隔規劃。

服務類型決定了使用模式和客戶期望。共乘模式需要複雜的路線最佳化保真度和乘客匹配演算法，以實現可接受的平均行程時間；而單人乘客服務則優先考慮點對點的可靠性和反映專車運轉率的定價。固定費率服務必須引入可預測的收入來源，並仔細調整行程彈性以適應通勤者的需求。

票價模式的試驗對於釋放永續需求至關重要。基於距離的定價將收益與邊際行程成本掛鉤，對於不同行程距離的乘客來說，這種定價方式直覺易懂。固定費率定價簡化了消費者對常見路線（例如機場行程）的決策，並透過透明的定價提高利用率。基於時間的定價方法適用於停留時間和擁塞是顯著成本促進因素的情況，使營運商能夠對影響網路效率的路線選擇進行獎勵或懲罰。

所有權模式會產生資本和營運投入。車隊即服務模式透過將資本支出和維護責任外部化，降低了營運商的進入門檻，而營運商自有車隊則能夠掌控車輛規格和生命週期管理。點對點模式則創造了一條輕資產的參與途徑，可以透過企業或個人平台進行協調。每種模式都對信任、合規性和保險方面的影響各不相同，從而影響入職流程和監管審查。

應用領域影響路線設計和服務經濟性。機場接駁車服務需要與航班資料整合的調度，以及對行李和吞吐量高峰的穩健處理。通勤交通受益於可預測的始發站到目的地客流，並可以利用訂閱定價來吸引回頭客。最後一哩配送需要專門的酬載配置和服務等級協定。在這個領域，食品配送強調快速、時效性的履約，而小包裹配送則重視處理效率和路線整合。因此，針對特定細分市場的車輛改裝、充電策略和操作員培訓計畫對於最佳化各個用例的效能至關重要。

從區域角度看部署準備、監管方法和夥伴關係模式，這些將影響城市、郊區和城際自動駕駛服務在世界主要地區的擴展方式

區域動態將對部署路徑和監管方法產生重大影響，每個地區都為自動駕駛出行服務提供獨特的機會和限制因素。在美洲，城市密度梯度、市政創新舉措以及成熟的叫車生態系統為整合公共交通和路邊管理的試點計畫創造了肥沃的土壤。公共合作是一個反覆出現的主題，城市尋求可證明安全性和公平准入的受控試驗，而營運商則優先考慮車輛最佳化和乘客體驗，以推動自動駕駛的普及。

歐洲、中東和非洲地區的監管協調和基礎設施成熟度差異巨大，導致部署模式各異。歐洲城市通常採取保守的、安全至上的方針，但同時又高度重視永續性，鼓勵電動車和零排放區建設。同時，非洲部分地區則有機會以靈活的所有權模式和行動優先的服務交付策略取代傳統的基礎設施。

亞太地區擁有眾多高密度城市，這些城市的需求彈性、多模態整合以及快速的技術應用使其能夠積極開展試點和商業部署。在某些市場，透過國內製造快速擴大規模是優先事項，而有利於電氣化的政策獎勵與追求高利用率的車隊營運商高度契合。跨境供應鏈和區域貿易協定也影響企業在何處設立組裝和檢驗設施。與當地旅遊服務供應商、電信業者和物流公司建立策略聯盟，通常有助於加速市場進入並應對監管差異。

汽車製造商、軟體整合商、車隊營運商和供應商如何合作形成一個有彈性的商業結構，以加速部署並分散資本強度。

如今，產業參與者遍布整個生態系統，包括汽車製造商、自動駕駛系統開發商、車隊營運商、一級供應商和軟體整合商。領先的技術開發人員不斷完善其感知堆疊和安全案例交付成果，而汽車製造商則圍繞模組化平台進行創新，以簡化計算密集型系統的感測器整合和溫度控管。許多公司優先考慮整合標準化計算堆疊，降低檢驗複雜性，並為迭代軟體改進創建清晰的升級路徑。

車隊營運商和出行即服務公司正從試點階段轉向商業性部署，重點是利用率、可靠性和客戶維繫。這些公司正在大力投資營運中心、遠端監控功能以及能夠干預複雜場景的駕駛員或人工監管框架。一級供應商正積極回應，提供端到端解決方案，將感測器、運算模組和維護服務捆綁在一起，以簡化車隊部署並提供可預測的生命週期支援。

策略聯盟是當前競爭格局的特徵。合資企業和長期供應協議使企業能夠分擔沉重的生產資本負擔，同時保持對專有軟體和服務設計的使用權。同時，一些公司專注於價值鏈的狹窄環節，例如最後一哩物流或機場整合服務。垂直整合企業與專業供應商之間的互動將繼續決定價值的創造方向以及新服務模式的成熟速度。

為高階主管提供實際的優先策略行動，以增強營運彈性、監管參與度、供應鏈靈活性和差異化服務經濟性

尋求在自動駕駛出行生態系統中獲取價值的領導者，應將策略重點放在營運韌性、法規合規性和差異化客戶體驗。優先考慮端到端可靠性，並投資模組化汽車平臺和標準化運算架構，以實現無需徹底重新設計平台即可進行迭代升級。這種方法可以降低整合風險，縮短部署週期，同時保留整合未來感測和運算技術進步的選項。

我們將積極與監管機構和地方政府相關人員合作，共同設計試點框架，以解決安全、資料共用和交通法規取得等問題。透明的績效報告和協作式安全評估流程將建立信任並加快核准速度。在營運方面，我們將改進路線和匹配演算法，以提高出行密度並減少空駛里程。

跨所有權和服務模式製定多樣化的部署策略，以管理資本風險並測試需求彈性。在注重規範管理的市場中，將「車隊即服務」合約與營運商自有車輛結合。在受控區域內，請嘗試基於距離、固定費率和按小時計費的結構，以確定每種用途的最佳定價。針對「最後一哩路」應用，開發專用車輛型號並建立物流夥伴關係，以滿足食品和宅配配送的獨特需求。

最後，透過靈活採購、關鍵零件的雙重採購以及合格的區域供應商來建立供應鏈韌性，以降低關稅和地緣政治風險。透過建立長期夥伴關係（包括共同開發和產能保障）來補充籌資策略，以協調獎勵並在中期內穩定投入成本。這些綜合措施可以幫助企業從試點營運邁向經濟永續的營運。

透過透明、多方法的研究設計檢驗策略見解，該設計結合了初步訪談、營運觀察、二次分析、情境壓力測試和敏感性檢查

本研究採用多方法整合定性和定量數據，旨在揭示對營運商、供應商和監管機構的實際影響。主要研究包括對汽車製造、自動駕駛系統開發、車隊營運和市政交通領域領導者的結構化訪談，並輔以對現有試點地點的實地考察以及與跨職能團隊的研討會，以檢驗營運假設。這些工作為部署限制、安全實務和客戶體驗優先事項提供了現實觀點。

二次研究考察了監管文件、公共報告、行業白皮書和公司披露資訊，以確認相關主張的三角關係，並建立對技術能力的基線理解。數據合成利用情境分析對供應鏈和資費主導的結果進行壓力測試，同時透過敏感度測試評估利用率、定價和營運成本因素的波動如何影響商業性可行性。調查方法優先考慮假設的透明度和關鍵路徑的可複製性，確保研究結果能夠為董事會層面的策略和投資決策提供參考。

分析流程包括繪製價值鏈依賴關係圖、針對特定細分市場的用例建立營運方案，以及開發專注於關鍵組件（例如感測器、計算模組和電池系統）的供應商風險矩陣。在可能的情況下，我們透過多個獨立資訊來源支援斷言，並根據可觀察的試點績效指標對其檢驗。最終，我們獲得了連貫一致的洞察和建議，既反映了當前的產業實踐，也反映了近期的可能發展軌跡。

整合技術準備、營運設計要求、政策影響和策略重點，決定哪些自主行動出行模式將獲得持久採用

自動駕駛服務的發展軌跡不再是單一的技術實驗，而是一場涉及營運、政策和經濟等多維度的轉變。改進的感知堆疊、模組化汽車平臺和協作法規結構等關鍵推動因素，已將該領域推向商業性實驗可以帶來關於規模、安全性和社會接受度的寶貴經驗的階段。同時，貿易政策和供應鏈的重組凸顯了製定能夠增強靈活性和區域韌性的策略的必要性。

成功的公司將融合卓越的工程技術、嚴謹的營運設計和積極的相關人員參與。那些透過精妙的路線最佳化利用率、透過多元化所有權和票價結構來管理資本風險、並確保供應鏈韌性的公司，將能夠將試驗轉化為可重複、可靠的服務。政策制定者和政府合作夥伴在透過有針對性的採購、基礎設施投資和協調一致的監管方法來促進安全和公平部署方面發揮著至關重要的作用。

總而言之，採用的道路是漸進式的，依賴協調技術、營運和政策的生態系統方法。本摘要中的見解為領導者確定投資優先事項、完善夥伴關係策略以及設計試點計畫奠定了基礎，這些試點計畫將為更廣泛採用提供所需的證據。持續關注安全性、透明度和性能將決定哪些模型能夠成為城市交通系統的持久組成部分。

目錄

第1章：前言

第2章調查方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 與主機廠及叫車平台合作，加速自動駕駛計程車在都市區的部署及業務拓展
  • 先進的LiDAR和感測器融合整合，可在惡劣天氣和複雜交通環境中穩定運行
  • 利用即時交通量和需求預測開發自動駕駛叫車服務的動態定價模型
  • 引入監管沙盒和公私測試途徑，以檢驗自動駕駛計程車的安全性和性能
  • 擴展雲端基礎的車輛管理系統，透過無線更新和遠端診斷實現持續最佳化
  • 公共接受度舉措著重於透過透明的安全報告和用戶教育宣傳活動建立信任
  • 投資網路安全通訊協定和冗餘框架，以降低系統駭客攻擊的風險並確保乘客安全

第6章：2025年美國關稅的累積影響

第7章：人工智慧的累積影響，2025年

第 8 章：按車輛類型分類的 Robotaxi 市場

  • 電
  • 混合
    • 輕度混合動力
    • 插電式混合動力汽車
  • 內燃機

第9章：按服務類型分類的 Robotaxi 市場

  • 共乘
  • 單人騎行
  • 訂閱服務

第 10 章：按票價模式分類的 Robotaxi 市場

  • 基於距離
  • 扁平率
  • 基於時間

11. 依所有權模式分類的自動駕駛計程車市場

  • 車隊即服務
  • 營運商所有
  • P2P
    • 企業平台
    • 個人平台

第 12 章：按應用分類的 Robotaxi 市場

  • 機場接送
  • 通勤交通
  • 最後一哩配送
    • 送餐
    • 行李運送

第 13 章：按地區分類的 Robotaxi 市場

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第 14 章：按類別分類的 Robotaxi 市場

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第15章 各國自動駕駛計程車市場

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第16章競爭格局

  • 2024年市佔率分析
  • 2024年FPNV定位矩陣
  • 競爭分析
    • Waymo LLC
    • Baidu, Inc.
    • DiDi Global Inc.
    • Pony.ai Inc.
    • AutoX Technologies Limited
    • Motional, Inc.
    • WeRide Inc.
    • Zoox, Inc.
    • Yandex NV
    • Nuro
Product Code: MRR-0375F3EAA843

The Robo-taxi Market is projected to grow by USD 64.43 billion at a CAGR of 44.68% by 2032.

KEY MARKET STATISTICS
Base Year [2024] USD 3.35 billion
Estimated Year [2025] USD 4.87 billion
Forecast Year [2032] USD 64.43 billion
CAGR (%) 44.68%

An integrative perspective on how converging technologies, urban policy evolution, and shifting consumer expectations are accelerating commercialization of autonomous ride services

The advent of autonomous mobility services is reshaping urban transportation and redefining expectations for convenience, cost, and accessibility. Technology convergence across sensing, artificial intelligence, and connectivity has matured to a point where pilot deployments are transitioning into scaled commercial experiments in dense urban corridors and selected suburban contexts. As a result, the conversation is shifting from proof of concept to questions of operational design, regulatory alignment, and commercial viability over operational life cycles.

This executive summary synthesizes cross-sector developments that influence robo-taxi deployment and adoption, from vehicle architecture and service models to fare structures and ownership patterns. It examines how evolving consumer preferences, public-sector priorities, and private investment are intersecting to create new service propositions. The narrative highlights the operational trade-offs companies face when balancing capital intensity, route optimization, and human oversight, while underscoring how partnerships across OEMs, mobility operators, and city agencies are becoming essential to reduce friction and accelerate real-world scalability.

By framing strategic considerations against present-day technological capabilities and regulatory expectations, this introduction sets the context for deeper analysis on market dynamics, supply chain pressures, and differentiated value propositions. The goal is to provide executives with a clear line of sight into the levers that will determine near-term pilots and medium-term commercial success across urban mobility corridors.

A clear-eyed assessment of technological advances, regulatory maturation, and commercial model diversification that are collectively realigning the autonomous mobility ecosystem

Over the past several years, transformative shifts have emerged that alter the competitive contours of autonomous mobility and the broader transportation landscape. Advances in perception systems, driven by improvements in sensor fusion and edge computing, have lowered latency and improved reliability in complex urban environments. Simultaneously, the maturation of simulation environments and model-based validation pipelines has reduced the time and cost associated with safety verification, enabling more ambitious live trials that cover diverse operating domains.

The regulatory landscape has evolved from blanket caution toward more targeted frameworks that permit staged autonomy under defined operational design domains. This transition encourages incremental deployments but also introduces a patchwork of local requirements that operators must manage. Meanwhile, commercial models are diversifying: operators are experimenting with shared-ride pooling, subscription bundles aimed at high-frequency commuters, and hybrid offerings that link fixed-route micromobility with on-demand autonomous shuttles. These business model experiments are vital for understanding utilization thresholds and for designing dynamic pricing strategies that support sustainable unit economics.

Another critical shift is the reconfiguration of supply chains and manufacturing footprints. OEMs and suppliers are experimenting with modular vehicle platforms optimized for autonomy and with standardized compute stacks to lower integration costs. Partnerships between automotive manufacturers, Tier 1 suppliers, and software-first mobility firms are increasingly common as each party seeks to combine hardware expertise with operational know-how. Taken together, these shifts point to an ecosystem moving from isolated trials toward scalable, interoperable systems that can be iterated rapidly in response to real-world performance data.

How recent trade measures have reshaped sourcing strategies, supplier relationships, fleet economics, and investment priorities across the autonomous vehicle value chain in 2025

Policy shifts in trade and tariff regimes are exerting a tangible influence on the economics of vehicle manufacture, component sourcing, and fleet operations, and the announced or implemented tariff measures in the United States in 2025 have amplified those effects for stakeholders in the robo-taxi value chain. Tariffs that target imported automotive components, semiconductors, or battery cells increase the marginal cost of building and maintaining fleets that rely on high-performance hardware. In response, OEMs and systems integrators have reassessed sourcing strategies, accelerating efforts to localize critical supply lines and to qualify alternative suppliers within tariff-favored jurisdictions.

These trade measures have also affected supplier relationships and R&D roadmaps. Suppliers with global manufacturing footprints have adjusted allocation strategies to mitigate tariff exposure, prioritizing production for domestic markets while rerouting exports through regions with more favorable trade arrangements. For mobility operators with mixed fleets, this dynamic has translated into a recalibration of procurement timelines and an increased emphasis on total lifecycle cost analysis rather than simple unit price comparisons. In some cases, firms have accelerated investments in standardized component architectures to increase interchangeability and to reduce exposure to single-sourced parts that are subject to tariff volatility.

On the operational side, higher input costs have pressured fleet utilization strategies and service pricing. Operators have sought to preserve network efficiency by refining routing algorithms, increasing average trip density, and introducing differentiated service tiers that better align with variable cost burdens. Public agencies and municipalities have reacted by reexamining procurement specifications for pilot programs, favoring vehicles and technology stacks that demonstrate resilience to policy-driven cost swings. In parallel, governments have explored complementary incentives and procurement preference mechanisms to encourage domestic production and to preserve workforce continuity in critical manufacturing sectors.

Finally, tariffs have influenced investment flows and partnership formation. Venture capital and corporate investors have applied more granular due diligence to supply chain risk, favoring collaborations that embed manufacturing flexibility and local content controls. Strategic alliances between automakers, battery manufacturers, and software providers have proliferated, with many pursuing joint-venture structures to de-risk capital-intensive production while maintaining access to advanced technology platforms. The cumulative effect is an industry that is actively balancing near-term cost pressures with longer-term plans for resilience, vertical integration, and regionalized production footprints.

Segment-centric insights that link vehicle architectures, service constructs, fare mechanics, ownership models, and application domains to operational design and commercialization potential

Understanding demand and operational dynamics requires a granular view across vehicle architectures, service constructs, fare mechanics, ownership paradigms, and application domains. Vehicle choice influences platform capabilities and energy strategy; electric architectures are increasingly favored for their lower operating emissions and compatibility with centralized fleet charging, while hybrid configurations provide transitional flexibility in markets where charging infrastructure remains uneven. Internal combustion engine platforms continue to play a role where immediate capital constraints or infrastructure gaps persist, but electrification trends are reshaping lifecycle maintenance expectations and service interval planning.

Service type defines utilization patterns and customer expectations. Shared-ride models demand high route optimization fidelity and passenger-matching algorithms to achieve acceptable average trip durations, whereas solo-ride offerings prioritize point-to-point reliability and pricing that reflects dedicated occupancy. Subscription services introduce predictable revenue streams and require careful matching of itinerary flexibility to commuter needs, which in turn influences fleet mix decisions and scheduling algorithms.

Fare model experimentation is central to unlocking sustainable demand. Distance-based pricing aligns revenue with marginal trip costs and is intuitive for riders taking varied-length journeys. Flat-rate structures simplify consumer decision-making for common corridors such as airport transfers and can increase uptake through transparent pricing. Time-based approaches cater to scenarios where dwell times or congestion are significant cost drivers and allow operators to penalize or reward route choices that affect network efficiency.

Ownership models shape capital and operational commitments. Fleet-as-a-service arrangements lower entry barriers for operators by externalizing capital expenditure and maintenance responsibilities, while operator-owned fleets retain control over vehicle specification and lifecycle management. Peer-to-peer formats create asset-light participation pathways and can be organized via corporate platforms or individual platforms, each with distinct trust, compliance, and insurance implications that influence onboarding friction and regulatory scrutiny.

Application domains influence route design and service economics. Airport transfer services require integrated scheduling with flight data and robust handling of luggage and throughput peaks. Commuter transport benefits from predictable origin-destination flows and can leverage subscription pricing to capture repeat users. Last-mile delivery demands specialized payload configurations and service-level agreements; within this domain, food delivery emphasizes rapid, time-sensitive fulfillment while parcel delivery values handling efficiency and route consolidation. Segment-specific vehicle modifications, charging strategies, and operator training programs are therefore critical to optimize performance across use cases.

A regional lens on deployment readiness, regulatory approaches, and partnership models that influence how urban, suburban, and intercity autonomous services scale across major global geographies

Regional dynamics materially affect deployment pathways and regulatory approaches, and each geography presents distinct opportunities and constraints for autonomous mobility services. In the Americas, urban density gradients, municipal innovation initiatives, and established ride-hailing ecosystems create fertile ground for pilots that integrate public transit and curb management. Private-public collaborations are a recurring theme, with cities seeking controlled pilots that demonstrate safety and equitable access while operators emphasize fleet optimization and rider experience to drive acceptance.

Across Europe, the Middle East & Africa, regulatory harmonization and infrastructure maturity vary widely, shaping diverse deployment models. European cities often adopt conservative, safety-first approaches combined with strong sustainability objectives, encouraging electric fleets and zero-emission zones. The Middle East hosts large-scale testing grounds with state-backed initiatives that fast-track regulatory approvals for high-profile deployments, while parts of Africa offer opportunities to leapfrog legacy infrastructure with flexible ownership models and mobile-first service delivery strategies.

The Asia-Pacific region presents a range of high-density urban centers where demand elasticity, multi-modal integration, and rapid technology adoption support aggressive trials and commercial rollouts. Several markets prioritize rapid scaling through domestic manufacturing and favorable policy incentives for electrification, which aligns well with fleet operators pursuing high utilization rates. Cross-border supply chain considerations and regional trade agreements also influence where companies choose to localize assembly and validation facilities. Strategic partnerships with local mobility providers, telecommunications companies, and logistics firms are common to accelerate market entry and to navigate regulatory heterogeneity.

How collaborations between automakers, software integrators, fleet operators, and suppliers are forming resilient commercial constructs that accelerate deployment while distributing capital intensity

Industry participants now span an ecosystem that includes vehicle manufacturers, autonomous systems developers, fleet operators, Tier 1 suppliers, and software integrators. Leading technology developers continue to refine perception stacks and safety case artifacts while vehicle manufacturers innovate around modular platforms that simplify sensor integration and thermal management for compute-heavy systems. Many firms are prioritizing the integration of standardized compute stacks to reduce validation complexity and to create clearer upgrade paths for iterative software improvements.

Fleet operators and mobility-as-a-service companies are shifting from experimental pilots to commercially minded deployments that focus on utilization, reliability, and customer retention. These firms invest heavily in operations centers, remote monitoring capabilities, and driver- or human-oversight frameworks that can intervene in complex scenarios. Tier 1 suppliers are responding by offering end-to-end solutions that bundle sensors, compute modules, and maintenance services to streamline fleet rollouts and to provide predictable lifecycle support.

Strategic collaborations are a defining characteristic of the current competitive landscape. Joint ventures and long-term supply agreements allow companies to share the heavy capital burden of production while preserving access to proprietary software and service design. At the same time, some entrants concentrate on narrow slices of the value chain, such as last-mile logistics or airport consolidation services, where specialized operational knowledge confers defensible advantages. The interplay between vertically integrated players and specialist providers will continue to determine where value accrues and how quickly new service models reach maturity.

Practical and prioritized strategic actions for executives to enhance operational resilience, regulatory collaboration, supply chain flexibility, and differentiated service economics

Leaders seeking to capture value in the autonomous mobility ecosystem should anchor strategy in operational resilience, regulatory alignment, and differentiated customer experience. Prioritize end-to-end reliability by investing in modular vehicle platforms and standardized compute architectures that permit iterative upgrades without wholesale platform redesign. This approach reduces integration risk and enables faster deployment cycles while preserving the option to incorporate tomorrow's sensing or compute advances.

Engage proactively with regulators and municipal stakeholders to co-design pilot frameworks that address safety, data sharing, and curb access. Transparent performance reporting and collaborative safety assessment processes build trust and can shorten approval timelines. Operationally, refine routing and matching algorithms to increase trip density and reduce empty vehicle miles; small improvements in utilization can have outsized effects on unit economics and social acceptance.

Diversify deployment strategies across ownership and service models to manage capital exposure and to test demand elasticity. Combine fleet-as-a-service agreements with operator-owned vehicles in markets where control over specifications matters. Offer fare experimentation across distance-based, flat-rate, and time-based structures in controlled regions to identify the optimal pricing levers for each application. For last-mile applications, build specialized vehicle variants and logistics partnerships to capture the unique requirements of food versus parcel delivery.

Finally, build supply chain resilience through flexible sourcing, dual-sourcing critical components, and qualifying regional suppliers to mitigate tariff and geopolitical risks. Complement procurement strategies with long-term partnerships that include joint development and capacity guarantees, thereby aligning incentives and stabilizing input costs over the medium term. These combined actions will position firms to move beyond pilots toward economically sustainable operations.

A transparent multi-method research design integrating primary interviews, operational observation, secondary analysis, scenario stress testing, and sensitivity checks to validate strategic insights

This research synthesizes qualitative and quantitative inputs using a multi-method approach designed to surface practical implications for operators, suppliers, and regulators. Primary research comprised structured interviews with leaders across vehicle manufacturing, autonomous systems development, fleet operations, and municipal transportation agencies, complemented by site visits to active pilot locations and workshops with cross-functional teams to validate operational assumptions. These engagements provided real-world perspectives on deployment constraints, safety practices, and customer experience priorities.

Secondary research included a review of regulatory filings, public safety reports, industry white papers, and corporate disclosures to triangulate claims and to establish a baseline understanding of technology capabilities. Data synthesis employed scenario analysis to stress-test supply chain and tariff-driven outcomes, while sensitivity testing evaluated how variations in utilization, pricing, and operational cost drivers influenced commercial viability. The methodology prioritized transparency of assumptions and reproducibility of key pathways so that findings can inform board-level strategy and investment decisions.

Analytical processes involved mapping value-chain dependencies, constructing operational playbooks for segment-specific use cases, and developing vendor risk matrices focused on critical components such as sensors, compute modules, and battery systems. Wherever possible, assertions were corroborated through multiple independent sources and validated against observable pilot performance metrics. The result is a coherent set of insights and recommendations that reflect both current industry practice and plausible near-term trajectories.

A synthesis of technological readiness, operational design imperatives, policy influence, and strategic priorities that determine which autonomous mobility models will achieve durable adoption

The trajectory of autonomous ride services is no longer a singular technological experiment but a multi-dimensional shift involving operations, policy, and economics. Key enablers such as improved perception stacks, modular vehicle platforms, and collaborative regulatory frameworks have moved the sector into a stage where commercial experimentation can produce meaningful lessons about scale, safety, and social acceptance. At the same time, trade policies and supply chain reconfiguration underscore the need for strategies that deliver flexibility and regional resilience.

Successful participants will be those that combine engineering excellence with disciplined operational design and proactive stakeholder engagement. Firms that optimize utilization through sophisticated routing, diversify ownership and fare structures to manage capital exposure, and secure resilient supply chains will be better positioned to convert trials into repeatable, reliable services. Policymakers and municipal partners play a pivotal role in facilitating safe, equitable deployments through targeted procurement, infrastructure investment, and harmonized regulatory approaches.

In sum, the path to widespread adoption is incremental and contingent on an ecosystem approach that aligns technology, operations, and policy. The insights in this summary provide a foundation for leaders to prioritize investments, refine partnership strategies, and design pilots that generate the evidence necessary for broader rollout. Continued focus on safety, transparency, and performance will determine which models become durable components of urban mobility systems.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Partnerships between OEMs and ride-hailing platforms to accelerate robo-taxi deployment and scale operations in urban centers
  • 5.2. Integration of advanced lidar and sensor fusion for robust operations in adverse weather and complex traffic environments
  • 5.3. Development of dynamic pricing models leveraging real-time traffic and demand forecasting for autonomous ride services
  • 5.4. Implementation of regulatory sandboxes and public-private testing corridors for validating safety and performance of robo-taxis
  • 5.5. Expansion of cloud-based fleet management systems with over-the-air updates and remote diagnostics for continuous optimization
  • 5.6. Public acceptance initiatives focusing on trust-building through transparent safety reporting and user education campaigns
  • 5.7. Investment in cybersecurity protocols and redundancy frameworks to mitigate risks of system hacking and ensure passenger safety

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Robo-taxi Market, by Vehicle Type

  • 8.1. Electric
  • 8.2. Hybrid
    • 8.2.1. Mild Hybrid Electric
    • 8.2.2. Plug In Hybrid Electric
  • 8.3. Internal Combustion Engine

9. Robo-taxi Market, by Service Type

  • 9.1. Shared Ride
  • 9.2. Solo Ride
  • 9.3. Subscription Service

10. Robo-taxi Market, by Fare Model

  • 10.1. Distance Based
  • 10.2. Flat Rate
  • 10.3. Time Based

11. Robo-taxi Market, by Ownership Model

  • 11.1. Fleet As A Service
  • 11.2. Operator Owned
  • 11.3. Peer To Peer
    • 11.3.1. Corporate Platform
    • 11.3.2. Individual Platform

12. Robo-taxi Market, by Application

  • 12.1. Airport Transfer
  • 12.2. Commuter Transport
  • 12.3. Last Mile Delivery
    • 12.3.1. Food Delivery
    • 12.3.2. Parcel Delivery

13. Robo-taxi Market, by Region

  • 13.1. Americas
    • 13.1.1. North America
    • 13.1.2. Latin America
  • 13.2. Europe, Middle East & Africa
    • 13.2.1. Europe
    • 13.2.2. Middle East
    • 13.2.3. Africa
  • 13.3. Asia-Pacific

14. Robo-taxi Market, by Group

  • 14.1. ASEAN
  • 14.2. GCC
  • 14.3. European Union
  • 14.4. BRICS
  • 14.5. G7
  • 14.6. NATO

15. Robo-taxi Market, by Country

  • 15.1. United States
  • 15.2. Canada
  • 15.3. Mexico
  • 15.4. Brazil
  • 15.5. United Kingdom
  • 15.6. Germany
  • 15.7. France
  • 15.8. Russia
  • 15.9. Italy
  • 15.10. Spain
  • 15.11. China
  • 15.12. India
  • 15.13. Japan
  • 15.14. Australia
  • 15.15. South Korea

16. Competitive Landscape

  • 16.1. Market Share Analysis, 2024
  • 16.2. FPNV Positioning Matrix, 2024
  • 16.3. Competitive Analysis
    • 16.3.1. Waymo LLC
    • 16.3.2. Baidu, Inc.
    • 16.3.3. DiDi Global Inc.
    • 16.3.4. Pony.ai Inc.
    • 16.3.5. AutoX Technologies Limited
    • 16.3.6. Motional, Inc.
    • 16.3.7. WeRide Inc.
    • 16.3.8. Zoox, Inc.
    • 16.3.9. Yandex N.V.
    • 16.3.10. Nuro

LIST OF FIGURES

  • FIGURE 1. GLOBAL ROBO-TAXI MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2024 VS 2032 (%)
  • FIGURE 3. GLOBAL ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 4. GLOBAL ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2024 VS 2032 (%)
  • FIGURE 5. GLOBAL ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2024 VS 2032 (%)
  • FIGURE 7. GLOBAL ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2024 VS 2032 (%)
  • FIGURE 9. GLOBAL ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL ROBO-TAXI MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
  • FIGURE 11. GLOBAL ROBO-TAXI MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 12. GLOBAL ROBO-TAXI MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 13. AMERICAS ROBO-TAXI MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 14. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 15. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 16. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 17. EUROPE ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 18. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 19. AFRICA ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 20. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 21. GLOBAL ROBO-TAXI MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 22. ASEAN ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 23. GCC ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 24. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 25. BRICS ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 26. G7 ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 27. NATO ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 28. GLOBAL ROBO-TAXI MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 29. ROBO-TAXI MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 30. ROBO-TAXI MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. ROBO-TAXI MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ROBO-TAXI MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL ROBO-TAXI MARKET SIZE, 2025-2032 (USD MILLION)
  • TABLE 5. GLOBAL ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 7. GLOBAL ROBO-TAXI MARKET SIZE, BY ELECTRIC, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL ROBO-TAXI MARKET SIZE, BY ELECTRIC, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 9. GLOBAL ROBO-TAXI MARKET SIZE, BY ELECTRIC, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL ROBO-TAXI MARKET SIZE, BY ELECTRIC, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 11. GLOBAL ROBO-TAXI MARKET SIZE, BY ELECTRIC, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL ROBO-TAXI MARKET SIZE, BY ELECTRIC, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 13. GLOBAL ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 15. GLOBAL ROBO-TAXI MARKET SIZE, BY HYBRID, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL ROBO-TAXI MARKET SIZE, BY HYBRID, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 17. GLOBAL ROBO-TAXI MARKET SIZE, BY HYBRID, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL ROBO-TAXI MARKET SIZE, BY HYBRID, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 19. GLOBAL ROBO-TAXI MARKET SIZE, BY HYBRID, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL ROBO-TAXI MARKET SIZE, BY HYBRID, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 21. GLOBAL ROBO-TAXI MARKET SIZE, BY MILD HYBRID ELECTRIC, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL ROBO-TAXI MARKET SIZE, BY MILD HYBRID ELECTRIC, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 23. GLOBAL ROBO-TAXI MARKET SIZE, BY MILD HYBRID ELECTRIC, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL ROBO-TAXI MARKET SIZE, BY MILD HYBRID ELECTRIC, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 25. GLOBAL ROBO-TAXI MARKET SIZE, BY MILD HYBRID ELECTRIC, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL ROBO-TAXI MARKET SIZE, BY MILD HYBRID ELECTRIC, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 27. GLOBAL ROBO-TAXI MARKET SIZE, BY PLUG IN HYBRID ELECTRIC, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL ROBO-TAXI MARKET SIZE, BY PLUG IN HYBRID ELECTRIC, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 29. GLOBAL ROBO-TAXI MARKET SIZE, BY PLUG IN HYBRID ELECTRIC, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL ROBO-TAXI MARKET SIZE, BY PLUG IN HYBRID ELECTRIC, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 31. GLOBAL ROBO-TAXI MARKET SIZE, BY PLUG IN HYBRID ELECTRIC, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL ROBO-TAXI MARKET SIZE, BY PLUG IN HYBRID ELECTRIC, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 33. GLOBAL ROBO-TAXI MARKET SIZE, BY INTERNAL COMBUSTION ENGINE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL ROBO-TAXI MARKET SIZE, BY INTERNAL COMBUSTION ENGINE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 35. GLOBAL ROBO-TAXI MARKET SIZE, BY INTERNAL COMBUSTION ENGINE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL ROBO-TAXI MARKET SIZE, BY INTERNAL COMBUSTION ENGINE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 37. GLOBAL ROBO-TAXI MARKET SIZE, BY INTERNAL COMBUSTION ENGINE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL ROBO-TAXI MARKET SIZE, BY INTERNAL COMBUSTION ENGINE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 39. GLOBAL ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 41. GLOBAL ROBO-TAXI MARKET SIZE, BY SHARED RIDE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL ROBO-TAXI MARKET SIZE, BY SHARED RIDE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 43. GLOBAL ROBO-TAXI MARKET SIZE, BY SHARED RIDE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL ROBO-TAXI MARKET SIZE, BY SHARED RIDE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 45. GLOBAL ROBO-TAXI MARKET SIZE, BY SHARED RIDE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL ROBO-TAXI MARKET SIZE, BY SHARED RIDE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 47. GLOBAL ROBO-TAXI MARKET SIZE, BY SOLO RIDE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL ROBO-TAXI MARKET SIZE, BY SOLO RIDE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 49. GLOBAL ROBO-TAXI MARKET SIZE, BY SOLO RIDE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL ROBO-TAXI MARKET SIZE, BY SOLO RIDE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 51. GLOBAL ROBO-TAXI MARKET SIZE, BY SOLO RIDE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL ROBO-TAXI MARKET SIZE, BY SOLO RIDE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 53. GLOBAL ROBO-TAXI MARKET SIZE, BY SUBSCRIPTION SERVICE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL ROBO-TAXI MARKET SIZE, BY SUBSCRIPTION SERVICE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 55. GLOBAL ROBO-TAXI MARKET SIZE, BY SUBSCRIPTION SERVICE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL ROBO-TAXI MARKET SIZE, BY SUBSCRIPTION SERVICE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 57. GLOBAL ROBO-TAXI MARKET SIZE, BY SUBSCRIPTION SERVICE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL ROBO-TAXI MARKET SIZE, BY SUBSCRIPTION SERVICE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 59. GLOBAL ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 61. GLOBAL ROBO-TAXI MARKET SIZE, BY DISTANCE BASED, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL ROBO-TAXI MARKET SIZE, BY DISTANCE BASED, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 63. GLOBAL ROBO-TAXI MARKET SIZE, BY DISTANCE BASED, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL ROBO-TAXI MARKET SIZE, BY DISTANCE BASED, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 65. GLOBAL ROBO-TAXI MARKET SIZE, BY DISTANCE BASED, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL ROBO-TAXI MARKET SIZE, BY DISTANCE BASED, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 67. GLOBAL ROBO-TAXI MARKET SIZE, BY FLAT RATE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL ROBO-TAXI MARKET SIZE, BY FLAT RATE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 69. GLOBAL ROBO-TAXI MARKET SIZE, BY FLAT RATE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL ROBO-TAXI MARKET SIZE, BY FLAT RATE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 71. GLOBAL ROBO-TAXI MARKET SIZE, BY FLAT RATE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL ROBO-TAXI MARKET SIZE, BY FLAT RATE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 73. GLOBAL ROBO-TAXI MARKET SIZE, BY TIME BASED, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL ROBO-TAXI MARKET SIZE, BY TIME BASED, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 75. GLOBAL ROBO-TAXI MARKET SIZE, BY TIME BASED, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL ROBO-TAXI MARKET SIZE, BY TIME BASED, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 77. GLOBAL ROBO-TAXI MARKET SIZE, BY TIME BASED, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL ROBO-TAXI MARKET SIZE, BY TIME BASED, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 79. GLOBAL ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 81. GLOBAL ROBO-TAXI MARKET SIZE, BY FLEET AS A SERVICE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL ROBO-TAXI MARKET SIZE, BY FLEET AS A SERVICE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 83. GLOBAL ROBO-TAXI MARKET SIZE, BY FLEET AS A SERVICE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL ROBO-TAXI MARKET SIZE, BY FLEET AS A SERVICE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 85. GLOBAL ROBO-TAXI MARKET SIZE, BY FLEET AS A SERVICE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL ROBO-TAXI MARKET SIZE, BY FLEET AS A SERVICE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 87. GLOBAL ROBO-TAXI MARKET SIZE, BY OPERATOR OWNED, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL ROBO-TAXI MARKET SIZE, BY OPERATOR OWNED, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 89. GLOBAL ROBO-TAXI MARKET SIZE, BY OPERATOR OWNED, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL ROBO-TAXI MARKET SIZE, BY OPERATOR OWNED, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 91. GLOBAL ROBO-TAXI MARKET SIZE, BY OPERATOR OWNED, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL ROBO-TAXI MARKET SIZE, BY OPERATOR OWNED, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 93. GLOBAL ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 95. GLOBAL ROBO-TAXI MARKET SIZE, BY PEER TO PEER, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL ROBO-TAXI MARKET SIZE, BY PEER TO PEER, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 97. GLOBAL ROBO-TAXI MARKET SIZE, BY PEER TO PEER, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL ROBO-TAXI MARKET SIZE, BY PEER TO PEER, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 99. GLOBAL ROBO-TAXI MARKET SIZE, BY PEER TO PEER, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL ROBO-TAXI MARKET SIZE, BY PEER TO PEER, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 101. GLOBAL ROBO-TAXI MARKET SIZE, BY CORPORATE PLATFORM, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL ROBO-TAXI MARKET SIZE, BY CORPORATE PLATFORM, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 103. GLOBAL ROBO-TAXI MARKET SIZE, BY CORPORATE PLATFORM, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL ROBO-TAXI MARKET SIZE, BY CORPORATE PLATFORM, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 105. GLOBAL ROBO-TAXI MARKET SIZE, BY CORPORATE PLATFORM, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL ROBO-TAXI MARKET SIZE, BY CORPORATE PLATFORM, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 107. GLOBAL ROBO-TAXI MARKET SIZE, BY INDIVIDUAL PLATFORM, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL ROBO-TAXI MARKET SIZE, BY INDIVIDUAL PLATFORM, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 109. GLOBAL ROBO-TAXI MARKET SIZE, BY INDIVIDUAL PLATFORM, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL ROBO-TAXI MARKET SIZE, BY INDIVIDUAL PLATFORM, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 111. GLOBAL ROBO-TAXI MARKET SIZE, BY INDIVIDUAL PLATFORM, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 112. GLOBAL ROBO-TAXI MARKET SIZE, BY INDIVIDUAL PLATFORM, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 113. GLOBAL ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 114. GLOBAL ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 115. GLOBAL ROBO-TAXI MARKET SIZE, BY AIRPORT TRANSFER, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 116. GLOBAL ROBO-TAXI MARKET SIZE, BY AIRPORT TRANSFER, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 117. GLOBAL ROBO-TAXI MARKET SIZE, BY AIRPORT TRANSFER, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 118. GLOBAL ROBO-TAXI MARKET SIZE, BY AIRPORT TRANSFER, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 119. GLOBAL ROBO-TAXI MARKET SIZE, BY AIRPORT TRANSFER, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 120. GLOBAL ROBO-TAXI MARKET SIZE, BY AIRPORT TRANSFER, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 121. GLOBAL ROBO-TAXI MARKET SIZE, BY COMMUTER TRANSPORT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 122. GLOBAL ROBO-TAXI MARKET SIZE, BY COMMUTER TRANSPORT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 123. GLOBAL ROBO-TAXI MARKET SIZE, BY COMMUTER TRANSPORT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 124. GLOBAL ROBO-TAXI MARKET SIZE, BY COMMUTER TRANSPORT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 125. GLOBAL ROBO-TAXI MARKET SIZE, BY COMMUTER TRANSPORT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 126. GLOBAL ROBO-TAXI MARKET SIZE, BY COMMUTER TRANSPORT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 127. GLOBAL ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 128. GLOBAL ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 129. GLOBAL ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 130. GLOBAL ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 131. GLOBAL ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 132. GLOBAL ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 133. GLOBAL ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 134. GLOBAL ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 135. GLOBAL ROBO-TAXI MARKET SIZE, BY FOOD DELIVERY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 136. GLOBAL ROBO-TAXI MARKET SIZE, BY FOOD DELIVERY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 137. GLOBAL ROBO-TAXI MARKET SIZE, BY FOOD DELIVERY, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 138. GLOBAL ROBO-TAXI MARKET SIZE, BY FOOD DELIVERY, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 139. GLOBAL ROBO-TAXI MARKET SIZE, BY FOOD DELIVERY, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 140. GLOBAL ROBO-TAXI MARKET SIZE, BY FOOD DELIVERY, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 141. GLOBAL ROBO-TAXI MARKET SIZE, BY PARCEL DELIVERY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 142. GLOBAL ROBO-TAXI MARKET SIZE, BY PARCEL DELIVERY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 143. GLOBAL ROBO-TAXI MARKET SIZE, BY PARCEL DELIVERY, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 144. GLOBAL ROBO-TAXI MARKET SIZE, BY PARCEL DELIVERY, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 145. GLOBAL ROBO-TAXI MARKET SIZE, BY PARCEL DELIVERY, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 146. GLOBAL ROBO-TAXI MARKET SIZE, BY PARCEL DELIVERY, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 147. GLOBAL ROBO-TAXI MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 148. GLOBAL ROBO-TAXI MARKET SIZE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 149. AMERICAS ROBO-TAXI MARKET SIZE, BY SUBREGION, 2018-2024 (USD MILLION)
  • TABLE 150. AMERICAS ROBO-TAXI MARKET SIZE, BY SUBREGION, 2025-2032 (USD MILLION)
  • TABLE 151. AMERICAS ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 152. AMERICAS ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 153. AMERICAS ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 154. AMERICAS ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 155. AMERICAS ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 156. AMERICAS ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 157. AMERICAS ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 158. AMERICAS ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 159. AMERICAS ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 160. AMERICAS ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 161. AMERICAS ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 162. AMERICAS ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 163. AMERICAS ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 164. AMERICAS ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 165. AMERICAS ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 166. AMERICAS ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 167. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 168. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 169. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 170. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 171. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 172. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 173. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 174. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 175. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 176. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 177. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 178. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 179. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 180. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 181. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 182. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 183. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 184. NORTH AMERICA ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 185. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 186. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 187. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 188. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 189. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 190. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 191. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 192. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 193. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 194. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 195. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 196. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 197. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 198. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 199. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 200. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 201. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 202. LATIN AMERICA ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 203. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY SUBREGION, 2018-2024 (USD MILLION)
  • TABLE 204. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY SUBREGION, 2025-2032 (USD MILLION)
  • TABLE 205. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 206. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 207. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 208. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 209. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 210. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 211. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 212. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 213. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 214. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 215. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 216. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 217. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 218. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 219. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 220. EUROPE, MIDDLE EAST & AFRICA ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 221. EUROPE ROBO-TAXI MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 222. EUROPE ROBO-TAXI MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 223. EUROPE ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 224. EUROPE ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 225. EUROPE ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 226. EUROPE ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 227. EUROPE ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 228. EUROPE ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 229. EUROPE ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 230. EUROPE ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 231. EUROPE ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 232. EUROPE ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 233. EUROPE ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 234. EUROPE ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 235. EUROPE ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 236. EUROPE ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 237. EUROPE ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 238. EUROPE ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 239. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 240. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 241. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 242. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 243. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 244. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 245. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 246. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 247. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 248. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 249. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 250. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 251. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 252. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 253. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 254. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 255. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 256. MIDDLE EAST ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 257. AFRICA ROBO-TAXI MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 258. AFRICA ROBO-TAXI MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 259. AFRICA ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 260. AFRICA ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 261. AFRICA ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 262. AFRICA ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 263. AFRICA ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 264. AFRICA ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 265. AFRICA ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 266. AFRICA ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 267. AFRICA ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 268. AFRICA ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 269. AFRICA ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 270. AFRICA ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 271. AFRICA ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 272. AFRICA ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 273. AFRICA ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 274. AFRICA ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 275. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 276. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 277. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 278. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 279. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 280. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 281. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 282. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 283. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 284. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 285. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 286. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 287. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 288. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 289. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 290. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 291. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 292. ASIA-PACIFIC ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 293. GLOBAL ROBO-TAXI MARKET SIZE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 294. GLOBAL ROBO-TAXI MARKET SIZE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 295. ASEAN ROBO-TAXI MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 296. ASEAN ROBO-TAXI MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 297. ASEAN ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 298. ASEAN ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 299. ASEAN ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 300. ASEAN ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 301. ASEAN ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 302. ASEAN ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 303. ASEAN ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 304. ASEAN ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 305. ASEAN ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 306. ASEAN ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 307. ASEAN ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 308. ASEAN ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 309. ASEAN ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 310. ASEAN ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 311. ASEAN ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 312. ASEAN ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 313. GCC ROBO-TAXI MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 314. GCC ROBO-TAXI MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 315. GCC ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 316. GCC ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 317. GCC ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 318. GCC ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 319. GCC ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 320. GCC ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 321. GCC ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 322. GCC ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 323. GCC ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 324. GCC ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 325. GCC ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 326. GCC ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 327. GCC ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 328. GCC ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 329. GCC ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 330. GCC ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 331. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 332. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 333. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 334. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 335. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 336. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 337. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 338. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 339. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 340. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 341. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 342. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 343. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 344. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 345. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 346. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 347. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 348. EUROPEAN UNION ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 349. BRICS ROBO-TAXI MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 350. BRICS ROBO-TAXI MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 351. BRICS ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 352. BRICS ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 353. BRICS ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)
  • TABLE 354. BRICS ROBO-TAXI MARKET SIZE, BY HYBRID, 2025-2032 (USD MILLION)
  • TABLE 355. BRICS ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2018-2024 (USD MILLION)
  • TABLE 356. BRICS ROBO-TAXI MARKET SIZE, BY SERVICE TYPE, 2025-2032 (USD MILLION)
  • TABLE 357. BRICS ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2018-2024 (USD MILLION)
  • TABLE 358. BRICS ROBO-TAXI MARKET SIZE, BY FARE MODEL, 2025-2032 (USD MILLION)
  • TABLE 359. BRICS ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2018-2024 (USD MILLION)
  • TABLE 360. BRICS ROBO-TAXI MARKET SIZE, BY OWNERSHIP MODEL, 2025-2032 (USD MILLION)
  • TABLE 361. BRICS ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2018-2024 (USD MILLION)
  • TABLE 362. BRICS ROBO-TAXI MARKET SIZE, BY PEER TO PEER, 2025-2032 (USD MILLION)
  • TABLE 363. BRICS ROBO-TAXI MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 364. BRICS ROBO-TAXI MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 365. BRICS ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2018-2024 (USD MILLION)
  • TABLE 366. BRICS ROBO-TAXI MARKET SIZE, BY LAST MILE DELIVERY, 2025-2032 (USD MILLION)
  • TABLE 367. G7 ROBO-TAXI MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 368. G7 ROBO-TAXI MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 369. G7 ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2018-2024 (USD MILLION)
  • TABLE 370. G7 ROBO-TAXI MARKET SIZE, BY VEHICLE TYPE, 2025-2032 (USD MILLION)
  • TABLE 371. G7 ROBO-TAXI MARKET SIZE, BY HYBRID, 2018-2024 (USD MILLION)

TA