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ADAS 自动驾驶车

市场调查报告书

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1396670

全球自动驾驶/自动驾驶汽车市场 - 2023-2030

Global Autonomous/Self-Driving Cars Market - 2023-2030

出版日期: 2023年12月15日 | 出版商:

DataM Intelligence | 英文 188 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述

2022年，全球自动驾驶/自动驾驶汽车市场规模达到256亿美元，预计2030年将达到1,801亿美元，2023-2030年预测期间CAGR为27.8%。

特斯拉、Waymo 等主要厂商和传统汽车製造商正在继续大力投资研发，以提高汽车自主性、安全功能和使用者体验。此外，新进业者、新创公司和科技巨头正在以独特的方式进行创新，为颠覆和创新创造了成熟的竞争环境。

然而，立法障碍、公众信任问题以及需要大力发展基础设施以促进广泛实施等挑战仍然存在。产业参与者和利害关係人之间的合作对于应对这些挑战并确保自动驾驶汽车无缝融入社会至关重要。

在印度，越来越多的新创公司专注于自动驾驶汽车技术。这些新创公司专注于感测器技术、地图绘製和人工智慧演算法等。例如，2022 年 5 月，Chiratae Ventures 为印度第一家生产廉价全自动驾驶汽车的公司领投了 170 万美元的种子轮融资。因此，印度自动驾驶/自动驾驶汽车市场在预测期内将出现最高成长。

动力学

自动化水准不断提高

自动化程度直接影响消费者的采用和接受度。消费者在 4 级和 5 级更有可能获得信任和认可，此时车辆可以在无需人工干预的情况下执行大部分或全部驾驶操作。随着越来越多的人愿意使用和投资完全自动驾驶汽车，市场不断成长。

技术进步是由各种自动化程度的发展所推动的。要实现更高程度的自主化，需要人工智慧、感测器技术、运算能力和通讯进步。技术进步允许开发更复杂的自动驾驶功能，进一步推动自动驾驶汽车市场的发展。

大多数汽车仅配备标准 ADAS 功能，但 AD 功能即将取得重大进展。车辆最终将在特定条件下实现汽车工程师协会 (SAE) 4 级 (L4) 或无人驾驶控制。对自动驾驶系统的需求增加有可能产生数十亿美元的收入。具有基于雷射雷达的 2+ (L2+) 功能的车辆的零件价格在 1,500 美元至 2,000 美元之间，而具有 3 级 (L3) 和 L4 选项的汽车的成本要高得多。

改进高级驾驶辅助系统 (ADAS)

自适应巡航控制、车道维持辅助和自动紧急煞车等 ADAS 技术是自动驾驶系统的基础。它逐步向使用者介绍自动化，提高他们对自动驾驶技术的了解和舒适度。 ADAS 元素主要旨在提高道路安全。

未来的无人驾驶汽车将拥有各种高级驾驶辅助系统，以协助驾驶者最大限度地提高驾驶安全性。 ADAS 的进步和许多资料来源（包括雷达、光达、影像感测器和电脑视觉）使电子系统得到改进。 ADAS 功能包括自适应巡航控制、行人侦测和停车辅助。据美国国家安全委员会称，ADAS 技术每年可挽救多达 3 人的生命，即所有道路死亡人数的 62%。

增加政府支持以及关键参与者之间的合作和整合

一些政府正在製定法规来管理自动驾驶车辆的测试和部署。这些规则旨在定义自动驾驶汽车安全要求、操作程序和责任框架。各国政府也透过赠款和资助计画鼓励自动驾驶领域的研发，以在保持安全的同时促进创新。

从事自动驾驶开发的汽车製造商和技术公司必须遵守众多组织和监管机构制定的高安全要求。 IIHS、ICAT、NCAP 等组织制定的标准可协助製造商设计符合特定安全要求（例如耐撞性、避免碰撞和其他安全方面）的车辆。

随着自动驾驶汽车越来越关注网路、人工智慧和其他软体服务，玩家必须在网路安全功能和支援方面进行大量投资。它可能包括设定强大的身份验证和加密机制、防火墙和入侵侦测系统，以及定期分发安全性修补程式和更新。网路安全是自动驾驶汽车行业的重要组成部分，因为它确保乘客和汽车的安全。此外，AV 公司必须考虑每个市场不同的消费者偏好和文化特征。这可能意味着根据地区偏好客製化行销活动和沟通策略。

安全和责任问题

自动驾驶汽车带来了重大的责任问题。事故责任很难确定，因为它可能涉及汽车製造商、软体开发商、感测器和硬体提供商，甚至车主或操作员。缺乏明确的责任框架可能会导致法律不确定性并阻碍市场参与者。

为了确保自主技术的安全，需要严格的测试和验证过程。该行业在进行广泛和多样化的测试以证明该技术的可靠性和安全性方面存在障碍。为了解决这些问题并促进市场成长，自动驾驶汽车领域的参与者，例如製造商、监管机构和技术开发商，必须合作制定明确的安全标准、责任框架和强大的测试协议。

Overview

Global autonomous/self-driving cars market reached US$ 25.6 billion in 2022 and is expected to reach US$ 180.1 billion by 2030, growing with a CAGR of 27.8% during the forecast period 2023-2030.

Major players like Tesla, Waymo and traditional automakers are continuing to invest extensively in R&D to improve car autonomy, safety features and user experience. Furthermore, new entrants, startups and tech giants are innovating in unique ways, contributing to a competitive scene ripe for disruption and innovation.

However, challenges like as legislative barriers, public trust concerns and the need for considerable infrastructure development to facilitate widespread implementation remain. Collaboration among industry players and stakeholders is essential for addressing these challenges and ensuring autonomous vehicles' seamless absorption into society.

In India, an increasing number of startups are focusing on autonomous vehicle technologies. The startups are focused on sensor technologies, mapping and AI algorithms, among other things. For instance, in May 2022, Chiratae Ventures led a US$ 1.7 million seed round for India's first company producing inexpensive fully self-driving cars. Therefore, the Indian autonomous/ self-driving cars market is witnessing the highest growth in the forecasted period.

Dynamics

Growing Level of Automation

The degree of automation has a direct impact on consumer adoption and acceptance. Consumer trust and approval are more likely at Levels 4 and 5, where a vehicle can execute most or all driving operations without human intervention. As more people are willing to use and invest in completely autonomous vehicles, the market grows.

Technological advancement is driven by the evolution of various levels of automation. Artificial intelligence, sensor technologies, computing power and communication advancements are required to achieve increased levels of autonomy. The technology advancement propels the autonomous vehicle market further by allowing for the development of more complex self-driving capabilities.

Most automobiles are equipped with only standard ADAS features, but considerable advancements in AD capabilities are on the horizon. Vehicles will eventually accomplish Society of Automotive Engineers (SAE) Level 4 (L4) or driverless control under specific conditions. An increase in demand for AD systems has the potential to generate billions of dollars in revenue. Vehicles with lidar-based Level 2+ (L2+) capabilities cost between US$ 1,500 to US$ 2,000 in component prices and automobiles with Level 3 (L3) and L4 options cost considerably more.

Improving Advanced Driving Assistance Systems (ADAS)

ADAS technology such as adaptive cruise control, lane-keeping assistance and automatic emergency braking serve as the foundation for autonomous systems. It introduces users to automation gradually, improving their knowledge and comfort with self-driving technologies. ADAS elements are primarily intended to increase road safety.

The future of driverless vehicles will have a variety of Advanced Driving Assistance Systems to assist motorists in maximizing driving safety. The electronic systems improve as a result of ADAS advancement and many data sources, including radar, LiDAR, image sensors and computer vision. ADAS features include adaptive cruise control, pedestrian detection and parking assistance. According to the National Safety Council, ADAS technologies can save up to three lives each year or 62% of all road fatalities.

Increasing Government Support and Collaborations and Consolidations Across Key Players

Several governments are enacting regulations to govern the testing and deployment of self-driving vehicles. The rules are intended to define AV safety requirements, operating procedures and liability frameworks. Governments are also encouraging R&D in the AV sector through grants and funding schemes in order to foster innovation while maintaining safety.

Automobile manufacturers and technology companies engaged in AV development have to adhere to high safety requirements established by numerous organizations and regulatory bodies. Standards established by organizations such as the IIHS, ICAT, NCAP and others aid manufacturers in designing vehicles that fulfill specified safety requirements such as crashworthiness, crash avoidance and other aspects of safety.

As AVs become more focused on networking, AI and other software services, players must invest heavily in cybersecurity features and support. It could include setting in place robust authentication and encryption mechanisms, firewalls and intrusion detection systems and distributing security patches and updates on a regular basis. Cybersecurity is an important part of the AV industry since it assures the safety of both passengers and cars. Furthermore, AV companies must consider the varied consumer preferences and cultural characteristics of each market. It could imply tailoring marketing campaigns and communication tactics to regional preferences.

Safety and Liability Concerns

Autonomous vehicles pose significant liability concerns. Liability in an accident can be difficult to determine because it may involve the car manufacturer, software developers, sensor and hardware providers and even the vehicle owner or operator. The absence of a defined liability framework could lead to legal uncertainty and discourage market players.

To ensure the safety of autonomous technology, stringent testing and validation processes are required. The industry has hurdles in undertaking extensive and diversified testing to demonstrate the reliability and safety of the technology. To address these concerns and foster market growth, players in the autonomous vehicle sector, such as manufacturers, regulators and technology developers, must collaborate to define clear safety standards, liability frameworks and robust testing protocols.

Segment Analysis

The global autonomous/self-driving cars market is segmented based on vehicle, level of automation, application and region.

Operational Efficiency Drives the Level 4 Automation in Autonomous Vehicles

Fully autonomous cars can run continuously without stopping for rest, resulting in greater operational efficiency. Companies that use Level 4 autonomous vehicles may conserve cost on labor and boost productivity. Level 4 autonomy allows cars to function in particular situations or environments without constant human supervision. Because there is less need for human interaction, operational efficiency improves by eliminating human errors and enhancing the vehicle's capacity to operate safely and effectively.

For instance, in May 2023, A 200km test run was completed using a Level 4 autonomous driving system developed by Samsung. According to reports, SAIT (Samsung Advanced Institute of Technology) completed a "driver-free" test from Suwon to Gangneung in South Korea. Therefore, above development and factor drives the growth of the level 4 automation segment in global market and accounts for the significant shares in the global market.

Geographical Penetration

Rising Vehicle Development and Advancement Drives the Regional Growth

Robust R&D investments are supporting breakthroughs in autonomous car technologies. Companies in U.S. are pioneering the development of cutting-edge technologies essential to obtaining increased degrees of autonomy, with a focus on safety, dependability and real-time ability to make decisions.

North America is at the leading edge of technical innovation, with numerous corporations investing extensively in self-driving car development. Tesla, Alphabet's Waymo, Uber and traditional manufacturers are driving the market along with continually enhancing AI, sensor technology and connection solutions. As a result, the market in North America is expected to increase the highest throughout the forecast period.

COVID-19 Impact Analysis

Because lockdowns and social distancing measures precluded outdoor testing and collaborative efforts among teams working on self-driving technology, the epidemic impacted autonomous car research, development and testing. While some consumers embraced the thought of self-driving cars as a method to limit contact with people, others voiced reservations about the safety of autonomous technology, which could have an impact on long-term market acceptability.

The global autonomous/self-driving cars industry was influenced by the COVID-19 epidemic in two ways: it accelerated the deployment of self-driving technology for contactless services while also posing challenges in terms of testing, supply networks and regulatory changes. The market continues to evolve as the world adjusts to the post-pandemic scenario, with a combination of positive and negative influences affecting its direction.

Russia-Ukraine War Impact Analysis

The protracted conflict has increased geopolitical tensions between Russia, Ukraine and Western nations. Economic sanctions have resulted, as have strained international ties. Global investments and collaborations, which are critical for the development and deployment of self-driving technology, can be harmed by such geopolitical uncertainty.

Ukraine has long been an important center for technology-related manufacturing, including hardware components required in self-driving cars. Because of the conflicts, supply networks have been disrupted, increasing concerns about the availability of critical components. The has had an impact on the production timelines and costs of self-driving technologies.

By Vehicle

Passenger Cars
Commercial Vehicles

By Level of Automation

By Application

Robo-Taxis
Logistics and Delivery
Personal Mobility
Public Transportation
Others

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Russia
- Rest of Europe
South America
- Brazil
- Argentina
- Rest of South America
Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific
Middle East and Africa

Key Developments

In October 2022, A Chinese joint venture will start mass-production of an autonomous electric car. Jidu Automotive, funded by Chinese AI company Baidu and Chinese automaker Geely, has unveiled the Robo-01 Lunar Edition, an autonomous electric vehicle.
In 2021, Toyota Motor Corp. unveiled new Lexus LS and Toyota Mirai models in Japan, both of which are equipped with Advanced Drive, a Level 2 autonomous system that aids in keeping the car in its lane, maintaining distance from other vehicles, assisting with lane changes and providing advanced-driver support.
In 2021, Aurora formed a strategic alliance with Toyota and Denso to develop and deploy self-driving vehicles on a large scale. The collaboration will manufacture and test driverless vehicles outfitted with the Aurora Driver, beginning with the Toyota Sienna. Companies intend to begin testing an initial fleet of Siennas before the end of 2021.

Competitive Landscape

The major global players in the market include: Daimler AG, Waymo LLC (Google Inc.), Toyota Motor Corp, Nissan Motor Co. Ltd, Volvo Car Group, General Motors Company, Volkswagen AG, Tesla Inc., BMW AG Source and Aurora Innovation Inc.

Why Purchase the Report?

To visualize the global autonomous/self-driving cars market segmentation based on vehicle, level of automation, application and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of autonomous/self-driving cars market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Vehicle mapping available as excel consisting of key products of all the major players.

The global autonomous/self-driving cars market report would provide approximately 61 tables, 57 figures and 188 Pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Vehicle
3.2. Snippet by Level of Automation
3.3. Snippet by Application
3.4. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Growing Level of Automation
  - 4.1.1.2. Improving Advanced Driving Assistance Systems (ADAS)
  - 4.1.1.3. Increasing Government Support and Collaborations and Consolidations Across Key Players
- 4.1.2. Restraints
  - 4.1.2.1. Safety and Liability Concerns
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Vehicle

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 7.1.2. Market Attractiveness Index, By Vehicle
7.2. Passenger Cars*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Commercial Vehicles

8. By Level of Automation

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
- 8.1.2. Market Attractiveness Index, By Level of Automation
8.2. L1*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. L2
8.4. L3
8.5. L4
8.6. L5

9. By Application

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.1.2. Market Attractiveness Index, By Application
9.2. Robo-Taxis*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Logistics and Delivery
9.4. Personal Mobility
9.5. Public Transportation
9.6. Others

10. By Region

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 10.1.2. Market Attractiveness Index, By Region
10.2. North America
- 10.2.1. Introduction
- 10.2.2. Key Region-Specific Dynamics
- 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
- 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.2.6.1. U.S.
  - 10.2.6.2. Canada
  - 10.2.6.3. Mexico
10.3. Europe
- 10.3.1. Introduction
- 10.3.2. Key Region-Specific Dynamics
- 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
- 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.3.6.1. Germany
  - 10.3.6.2. UK
  - 10.3.6.3. France
  - 10.3.6.4. Italy
  - 10.3.6.5. Russia
  - 10.3.6.6. Rest of Europe
10.4. South America
- 10.4.1. Introduction
- 10.4.2. Key Region-Specific Dynamics
- 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
- 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.4.6.1. Brazil
  - 10.4.6.2. Argentina
  - 10.4.6.3. Rest of South America
10.5. Asia-Pacific
- 10.5.1. Introduction
- 10.5.2. Key Region-Specific Dynamics
- 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
- 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.5.6.1. China
  - 10.5.6.2. India
  - 10.5.6.3. Japan
  - 10.5.6.4. Australia
  - 10.5.6.5. Rest of Asia-Pacific
10.6. Middle East and Africa
- 10.6.1. Introduction
- 10.6.2. Key Region-Specific Dynamics
- 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
- 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

11. Competitive Landscape

11.1. Competitive Scenario
11.2. Market Positioning/Share Analysis
11.3. Mergers and Acquisitions Analysis

12. Company Profiles

12.1. Daimler AG*
- 12.1.1. Company Overview
- 12.1.2. Vehicle Portfolio and Description
- 12.1.3. Financial Overview
- 12.1.4. Key Developments
12.2. Waymo LLC (Google Inc.)
12.3. Toyota Motor Corp
12.4. Nissan Motor Co. Ltd
12.5. Volvo Car Group
12.6. General Motors Company
12.7. Volkswagen AG
12.8. Tesla Inc.
12.9. BMW AG Source
12.10. Aurora Innovation Inc.

LIST NOT EXHAUSTIVE

13. Appendix

13.1. About Us and Services
13.2. Contact Us

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+886-2-2729-4219

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