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1570600

自动驾驶共享车队市场、机会、成长动力、产业趋势分析与预测，2024-2032

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

出版日期: 2024年08月03日 | 出版商:

Global Market Insights Inc. | 英文 252 Pages | 商品交期: 2-3个工作天内

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简介目录

2023 年，全球自动驾驶共享车队市场价值为 9.106 亿美元，预计 2023 年至 2032 年复合年增长率将超过 63.5%。随着城市的扩张，对高效交通解决方案的需求不断增加，以解决交通拥堵和污染问题。

政府法规在推动市场成长方面发挥关键作用。这些法规制定了明确的指导方针和安全标准，为测试和部署自动驾驶汽车铺平了道路。为了刺激自主技术的投资和创新，政府经常提供奖励措施、补助金和税收优惠。此外，加快审批流程和试点计划加快了自动驾驶共享服务的推出。透过培育支持性的监管环境，政府可以减轻公司的不确定性和风险，并增强对自动驾驶车队的信心和投资，从而推动市场成长和采用。

自动驾驶共享车队产业按技术、自动驾驶等级、车辆类型、推进方式、最终用户和地区进行分类。

按车辆类型划分，市场分为轿车和接驳车/货车。 2023年，汽车占据市场主导地位，份额超过62%，预计到2032年将超过419亿美元。市场。这种对个人和小团体交通的适用性使它们成为共乘需求最高的城市和郊区的首选。

从推动力来看，该市场包括电动车（EV）、混合动力车和内燃机汽车（ICE）。到 2023 年，电动车 (EV) 占据了约 53% 的市场份额，这要归功于其与永续发展目标的一致性和营运成本的降低。电动车透过零排放解决城市空气污染问题并符合严格的环境标准。此外，电池技术和充电基础设施的进步增强了电动车大规模车队营运的可行性。

2023 年，北美在自动驾驶共享车队市场中占据主导地位，占据超过 37% 的份额，预计到 2032 年将超过 251 亿美元。。美国和加拿大受益于强大的基础设施、支持性监管框架以及自动驾驶汽车技术的早期采用，将处于领先地位。

产业生态系统分析
供应商格局
- 整车製造商
- 技术提供者
- 乘车共享平台
- 基础设施提供者
- 资料管理和网路安全公司
利润率分析
技术和创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 加强城市化和智慧城市倡议
  - 有利的政府监管支持和框架
  - 人工智慧、机器学习、感测器和运算能力方面的技术进步
  - 自动驾驶共享车队的成本效率与营运优势
- 产业陷阱与挑战
  - 开发和部署成本高
  - 监管和法律挑战
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按技术分类，2021 - 2032 年

主要趋势
硬体
- 感测器（光达、雷达）
- 相机
- 计算单元
- 通讯设备
软体
- 自动驾驶软体
- 车队管理系统
- 乘车共享平台

第 6 章：市场估计与预测：依自治程度划分，2021 - 2032 年

主要趋势
4级
5级

第 7 章：市场估计与预测：按车辆划分，2021 - 2032 年

主要趋势
汽车
接驳车/货车

第 8 章：市场估计与预测：按推进力，2021 - 2032 年

主要趋势
电动车 (EV)
油电混合车
冰

第 9 章：市场估计与预测：按最终用户划分，2021 - 2032 年

主要趋势
政府和公共部门
企业部门
个人

第 10 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 西班牙
- 义大利
- 俄罗斯
- 北欧人
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 11 章：公司简介

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

简介目录

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.

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