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市場調查報告書
商品編碼
1570600

自動駕駛共享車隊市場、機會、成長動力、產業趨勢分析與預測,2024-2032

Autonomous Ride-sharing Fleets Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 252 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023 年,全球自動駕駛共享車隊市場價值為 9.106 億美元,預計 2023 年至 2032 年複合年成長率將超過 63.5%。隨著城市的擴張,對高效交通解決方案的需求不斷增加,以解決交通堵塞和污染問題。

政府法規在推動市場成長方面發揮關鍵作用。這些法規制定了明確的指導方針和安全標準,為測試和部署自動駕駛汽車鋪平了道路。為了刺激自主技術的投資和創新,政府經常提供獎勵措施、補助金和稅收優惠。此外,加快核准流程和試點計劃加快了自動駕駛共享服務的推出。透過培育支持性的監管環境,政府可以減輕公司的不確定性和風險,並增強對自動駕駛車隊的信心和投資,從而推動市場成長和採用。

自動駕駛共享車隊產業按技術、自動駕駛等級、車輛類型、推進方式、最終用戶和地區進行分類。

按車輛類型分類,市場分為轎車和接駁車/貨車。 2023年,汽車佔據市場主導地位,佔有率超過62%,預計到2032年將超過419億美元。市場。這種對個人和小團體交通的適用性使它們成為共乘需求最高的城市和郊區的首選。

從推動力來看,該市場包括電動車(EV)、混合動力車和內燃機汽車(ICE)。到 2023 年,電動車 (EV) 佔據了約 53% 的市場佔有率,這要歸功於其與永續發展目標的一致性和營運成本的降低。電動車透過零排放解決城市空氣污染問題並符合嚴格的環境標準。此外,電池技術和充電基礎設施的進步增強了電動車大規模車隊營運的可行性。

2023 年,北美在自動駕駛共享車隊市場中佔據主導地位,佔據超過 37% 的佔有率,預計到 2032 年將超過 251 億美元。 。美國和加拿大受益於強大的基礎設施、支持性監管框架以及自動駕駛汽車技術的早期採用,將處於領先地位。

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 供應商格局
    • 整車製造商
    • 技術提供者
    • 乘車共享平台
    • 基礎設施提供者
    • 資料管理和網路安全公司
  • 利潤率分析
  • 技術和創新格局
  • 專利分析
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 加強城市化和智慧城市舉措
      • 有利的政府監管支持和框架
      • 人工智慧、機器學習、感測器和運算能力方面的技術進步
      • 自動駕駛共享車隊的成本效率與營運優勢
    • 產業陷阱與挑戰
      • 開發和部署成本高
      • 監管和法律挑戰
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:按技術分類,2021 - 2032 年

  • 主要趨勢
  • 硬體
    • 感測器(LiDAR、雷達)
    • 相機
    • 計算單元
    • 通訊設備
  • 軟體
    • 自動駕駛軟體
    • 車隊管理系統
    • 乘車共享平台

第 6 章:市場估計與預測:依自治程度分類,2021 - 2032 年

  • 主要趨勢
  • 4級
  • 5級

第 7 章:市場估計與預測:按車輛分類,2021 - 2032 年

  • 主要趨勢
  • 汽車
  • 接駁車/貨車

第 8 章:市場估計與預測:按推進力,2021 - 2032 年

  • 主要趨勢
  • 電動車 (EV)
  • 油電混合車

第 9 章:市場估計與預測:按最終用戶分類,2021 - 2032 年

  • 主要趨勢
  • 政府和公共部門
  • 企業部門
  • 個人

第 10 章:市場估計與預測:按地區,2021 - 2032

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 俄羅斯
    • 北歐人
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 東南亞
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 拉丁美洲其他地區
  • MEA
    • 阿拉伯聯合大公國
    • 南非
    • 沙烏地阿拉伯
    • MEA 的其餘部分

第 11 章:公司簡介

  • 2getthere
  • Aptiv
  • Argo AI
  • Aurora Innovation
  • Autox, Inc.
  • Baidu Apollo
  • Beijing Didi Chuxing Technology Co., Ltd.
  • Bollinger Motors
  • Byton
  • Cruise Vehicles
  • EasyMile
  • Einride
  • Motional
  • Nuro
  • Oculii Corp.
  • Pony.ai
  • Tesla
  • Uber Technologies Inc
  • Waymo
  • Zoox
簡介目錄
Product Code: 10627

The Global Autonomous Ride-sharing Fleets Market was valued at USD 910.6 million in 2023 and is projected to grow at a staggering CAGR of over 63.5% from 2023 to 2032. Key growth drivers include rising urbanization and the push for smart city initiatives. As cities expand, there is an escalating need for efficient transportation solutions to tackle traffic congestion and curb pollution.

Government regulations play a pivotal role in propelling the market growth. These regulations set clear guidelines and safety standards, paving the way for testing and deploying autonomous vehicles. To spur investments and innovations in autonomous technology, governments frequently offer incentives, grants, and tax benefits. Moreover, expedited approval processes and pilot programs hasten the rollout of autonomous ride-sharing services. By fostering a supportive regulatory landscape, governments mitigate uncertainty and risk for companies, bolstering confidence and investments in autonomous fleets, thus driving market growth and adoption.

The autonomous ride-sharing fleets industry is categorized by technology, level of autonomy, vehicle type, propulsion method, end-user, and region.

By vehicle type, the market is divided into cars and shuttles/vans. In 2023, cars dominated the market with a share exceeding 62%, projected to surpass USD 41.9 billion by 2032. Cars led the autonomous ride-sharing market due to their adaptability, broad consumer acceptance, and fit for diverse ride-sharing scenarios. This suitability for individual and small-group transport makes them the top choice in urban and suburban locales, where ride-sharing demand is highest.

By propulsion, the market includes electric vehicles (EVs), hybrid vehicles, and internal combustion engines (ICE). In 2023, electric vehicles (EVs) captured around 53% of the market share, thanks to their alignment with sustainability objectives and reduced operational costs. With zero emissions, EVs tackle urban air pollution and comply with stringent environmental standards. Moreover, advancements in battery tech and charging infrastructure bolster the feasibility of EVs for large-scale fleet operations.

North America held a dominant position in the autonomous ride-sharing fleets market in 2023, accounting for over 37% of the share, with projections to exceed USD 25.1 billion by 2032. This growth is fueled by notable technological advancements and hefty investments from major industry players. The U.S. and Canada, benefiting from strong infrastructure, supportive regulatory frameworks, and early adoption of autonomous vehicle technology, will lead the charge.

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates and calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimates
  • 1.3 Forecast model
  • 1.4 Primary research and validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market definitions

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Vehicle manufacturers
    • 3.2.2 Technology providers
    • 3.2.3 Ride-sharing platforms
    • 3.2.4 Infrastructure providers
    • 3.2.5 Data management and cybersecurity firms
  • 3.3 Profit margin analysis
  • 3.4 Technology and innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news and initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Increasing urbanization and smart city initiatives
      • 3.8.1.2 Favourable government regulatory support and frameworks
      • 3.8.1.3 Technological advancements in AI, ML, sensors, and computing power
      • 3.8.1.4 Cost efficiency and operational benefits of autonomous ride-sharing fleets
    • 3.8.2 Industry pitfalls and challenges
      • 3.8.2.1 High development and deployment costs
      • 3.8.2.2 Regulatory and legal challenges
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Technology, 2021 - 2032 ($Bn, Units)

  • 5.1 Key trends
  • 5.2 Hardware
    • 5.2.1 Sensors (LiDAR, RADAR)
    • 5.2.2 Cameras
    • 5.2.3 Computing units
    • 5.2.4 Communication devices
  • 5.3 Software
    • 5.3.1 Autonomous driving software
    • 5.3.2 Fleet management systems
    • 5.3.3 Ride-sharing platforms

Chapter 6 Market Estimates and Forecast, By Level of Autonomy, 2021 - 2032 ($Bn, Units)

  • 6.1 Key trends
  • 6.2 Level 4
  • 6.3 Level 5

Chapter 7 Market Estimates and Forecast, By Vehicle, 2021 - 2032 ($Bn, Units)

  • 7.1 Key trends
  • 7.2 Cars
  • 7.3 Shuttles/Vans

Chapter 8 Market Estimates and Forecast, By Propulsion, 2021 - 2032 ($Bn, Units)

  • 8.1 Key trends
  • 8.2 Electric vehicles (EVs)
  • 8.3 Hybrid vehicles
  • 8.4 ICE

Chapter 9 Market Estimates and Forecast, By End-user, 2021 - 2032 ($Bn, Units)

  • 9.1 Key trends
  • 9.2 Government and public sector
  • 9.3 Corporate sector
  • 9.4 Individuals

Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 ($Bn, Units)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Spain
    • 10.3.5 Italy
    • 10.3.6 Russia
    • 10.3.7 Nordics
    • 10.3.8 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 ANZ
    • 10.4.6 Southeast Asia
    • 10.4.7 Rest of Asia Pacific
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
    • 10.5.4 Rest of Latin America
  • 10.6 MEA
    • 10.6.1 UAE
    • 10.6.2 South Africa
    • 10.6.3 Saudi Arabia
    • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

  • 11.1 2getthere
  • 11.2 Aptiv
  • 11.3 Argo AI
  • 11.4 Aurora Innovation
  • 11.5 Autox, Inc.
  • 11.6 Baidu Apollo
  • 11.7 Beijing Didi Chuxing Technology Co., Ltd.
  • 11.8 Bollinger Motors
  • 11.9 Byton
  • 11.10 Cruise Vehicles
  • 11.11 EasyMile
  • 11.12 Einride
  • 11.13 Motional
  • 11.14 Nuro
  • 11.15 Oculii Corp.
  • 11.16 Pony.ai
  • 11.17 Tesla
  • 11.18 Uber Technologies Inc
  • 11.19 Waymo
  • 11.20 Zoox