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ADAS 自動駕駛車

市場調查報告書

商品編碼

1396670

全球自動駕駛/自動駕駛汽車市場 - 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: 約2個工作天內

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簡介目錄

概述

2022年，全球自動駕駛/自動駕駛汽車市場規模達到256億美元，預計2030年將達到1,801億美元，2023-2030年預測期間CAGR為27.8%。

特斯拉、Waymo 等主要廠商和傳統汽車製造商正在繼續大力投資研發，以提高汽車自主性、安全功能和使用者體驗。此外，新進業者、新創公司和科技巨頭正在以獨特的方式進行創新，為顛覆和創新創造了成熟的競爭環境。

然而，立法障礙、公眾信任問題以及需要大力發展基礎設施以促進廣泛實施等挑戰仍然存在。產業參與者和利害關係人之間的合作對於應對這些挑戰並確保自動駕駛汽車無縫融入社會至關重要。

在印度，越來越多的新創公司專注於自動駕駛汽車技術。這些新創公司專注於感測器技術、地圖繪製和人工智慧演算法等。例如，2022 年 5 月，Chiratae Ventures 為印度第一家生產廉價全自動駕駛汽車的公司領投了 170 萬美元的種子輪融資。因此，印度自動駕駛/自動駕駛汽車市場在預測期內將出現最高成長。

動力學

自動化水準不斷提高

自動化程度直接影響消費者的採用和接受度。消費者在 4 級和 5 級更有可能獲得信任和認可，此時車輛可以在無需人工干預的情況下執行大部分或全部駕駛操作。隨著越來越多的人願意使用和投資完全自動駕駛汽車，市場不斷成長。

技術進步是由各種自動化程度的發展所推動的。要實現更高程度的自主化，需要人工智慧、感測器技術、運算能力和通訊進步。技術進步允許開發更複雜的自動駕駛功能，進一步推動自動駕駛汽車市場的發展。

大多數汽車僅配備標準 ADAS 功能，但 AD 功能即將取得重大進展。車輛最終將在特定條件下實現汽車工程師協會 (SAE) 4 級 (L4) 或無人駕駛控制。對自動駕駛系統的需求增加有可能產生數十億美元的收入。具有基於雷射雷達的 2+ (L2+) 功能的車輛的零件價格在 1,500 美元至 2,000 美元之間，而具有 3 級 (L3) 和 L4 選項的汽車的成本要高得多。

改進高級駕駛輔助系統 (ADAS)

自適應巡航控制、車道維持輔助和自動緊急煞車等 ADAS 技術是自動駕駛系統的基礎。它逐步向使用者介紹自動化，提高他們對自動駕駛技術的了解和舒適度。 ADAS 元素主要旨在提高道路安全。

未來的無人駕駛汽車將擁有各種高級駕駛輔助系統，以協助駕駛者最大限度地提高駕駛安全性。 ADAS 的進步和許多資料來源（包括雷達、光達、影像感測器和電腦視覺）使電子系統得到改進。 ADAS 功能包括自適應巡航控制、行人偵測和停車輔助。據美國國家安全委員會稱，ADAS 技術每年可挽救多達 3 人的生命，即所有道路死亡人數的 62%。

增加政府支持以及關鍵參與者之間的合作和整合

一些政府正在製定法規來管理自動駕駛車輛的測試和部署。這些規則旨在定義自動駕駛汽車安全要求、操作程序和責任框架。各國政府也透過贈款和資助計畫鼓勵自動駕駛領域的研發，以在保持安全的同時促進創新。

從事自動駕駛開發的汽車製造商和技術公司必須遵守眾多組織和監管機構制定的高安全要求。 IIHS、ICAT、NCAP 等組織制定的標準可協助製造商設計符合特定安全要求（例如耐撞性、避免碰撞和其他安全方面）的車輛。

隨著自動駕駛汽車越來越關注網路、人工智慧和其他軟體服務，玩家必須在網路安全功能和支援方面進行大量投資。它可能包括設定強大的身份驗證和加密機制、防火牆和入侵偵測系統，以及定期分發安全性修補程式和更新。網路安全是自動駕駛汽車行業的重要組成部分，因為它確保乘客和汽車的安全。此外，AV 公司必須考慮每個市場不同的消費者偏好和文化特徵。這可能意味著根據地區偏好客製化行銷活動和溝通策略。

安全和責任問題

自動駕駛汽車帶來了重大的責任問題。事故責任很難確定，因為它可能涉及汽車製造商、軟體開發商、感測器和硬體提供商，甚至車主或操作員。缺乏明確的責任框架可能會導致法律不確定性並阻礙市場參與者。

為了確保自主技術的安全，需要嚴格的測試和驗證過程。該行業在進行廣泛和多樣化的測試以證明該技術的可靠性和安全性方面存在障礙。為了解決這些問題並促進市場成長，自動駕駛汽車領域的參與者，例如製造商、監管機構和技術開發商，必須合作制定明確的安全標準、責任框架和強大的測試協議。

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