首頁 > 市場調查報告書 > 汽車工業

ADAS 自動駕駛車

市場調查報告書

商品編碼

1620568

自動駕駛軟體市場機會、成長動力、產業趨勢分析及2024年至2032年預測

Autonomous Driving Software Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 to 2032

出版日期: 2024年10月23日 | 出版商:

Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

2023 年全球自動駕駛軟體市場價值為 18 億美元，預計 2024 年至 2032 年年複合成長率(CAGR) 將達到 13.4%。友善車輛，提供非常適合自動駕駛技術的先進數位基礎設施。電動車 (EV) 是整合自動駕駛功能所必需的感測器、人工智慧 (AI) 系統和通訊技術的理想平台。此外，世界各國政府透過補貼、稅收優惠和排放法規支持電動車的採用，鼓勵汽車製造商優先考慮電動車和自動駕駛汽車，以符合消費者對永續交通日益成長的偏好。政府支持是推動自動駕駛軟體市場成長的另一個關鍵因素。

北美、歐洲和亞洲國家透過撥款、補貼和支持性監管框架來支持自動駕駛汽車 (AV) 研究，旨在鼓勵創新、提高交通安全和減少碳排放。建立自動駕駛汽車指定測試區和試點項目加速了技術進步，而放寬測試法規和製造商稅收減免等激勵措施正在促使更多公司投資自動駕駛軟體開發。這些措施對於克服金融和監管挑戰以及促進自動駕駛技術的更廣泛部署至關重要。按車型進行市場細分，乘用車是主要細分市場，到2023 年將佔市場佔有率的70% 以上。問題推動的和監管要求。

自適應巡航控制、車道維持輔助和自動緊急煞車等功能正在成為標準配置，推動自動駕駛軟體在乘用車中的整合。叫車和共享行動應用的潛力進一步推動了該領域對自動駕駛軟體的需求，使乘用車成為主要成長領域。在推進力方面，電動車由於其先進的電子系統，與自動駕駛技術更相容，因此到 2023 年，電動車細分市場將佔據約 62% 的市場佔有率。電動車的運作效率和減少的維護需求使其成為自動駕駛應用的有吸引力的選擇，特別是在物流和叫車等領域。

市場範圍
開始年份	2023年
預測年份	2024-2032
起始值	18億美元
預測值	55 億美元
複合年成長率	13.4%

從地區來看，北美在 2023 年以超過 35% 的佔有率引領市場，其中美國透過技術進步和政府對 AV 測試的支持顯示出快速進步。歐洲也是一個主要貢獻者，受到強大的研發投資和專注於交通運輸永續性和安全的有利政府政策的支持。

產業生態系統分析
供應商格局
- 硬體廠商
- 軟體開發商
- 測繪公司
- 數據提供者
- 系統整合商
利潤率分析
成本明細分析
使用案例
技術與創新格局
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 增加政府對自動駕駛汽車開發的措施和資金
  - 都市化進程不斷加快，交通壅塞日益加劇
  - 向電動和環保汽車的轉變
  - 人工智慧 (AI)、機器學習和感測器技術的技術進步
- 產業陷阱與挑戰
  - 不同地區的規定不同
  - 研發需要高昂的開發成本
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：依自動化程度分類，2021 - 2032 年

主要趨勢
1級
2級
3級
4級
5級

第 6 章：市場估計與預測：按車輛分類，2021 - 2032 年

主要趨勢
搭乘用車
商用車

第 7 章：市場估計與預測：按 Propulsion 分類，2021 - 2032 年

主要趨勢
冰
電動車

第 8 章：市場估計與預測：依軟體分類，2021 - 2032 年

主要趨勢
感知與規劃軟體
代駕軟體
車內感測軟體
監督/監控軟體

第 9 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
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯

第 10 章：公司簡介

Aptiv
Aurora Innovation
Baidu
BlackBerry
Bosch
Continental AG
Cruise (GM)
Hitachi Astemo
Huawei
Kodiak Robotics
Magna International
Mobileye
NVIDIA Corporation
Pony.ai
Qualcomm
Tesla
Valeo
Waymo (Alphabet)
ZF Friedrichshafen AG
Zoox (Amazon)

簡介目錄

Product Code: 11966

The Global Autonomous Driving Software Market, valued at USD 1.8 billion in 2023, is anticipated to grow at a compound annual growth rate (CAGR) of 13.4% from 2024 to 2032. This rapid expansion is primarily fueled by the increasing shift toward electric and eco-friendly vehicles, which offer advanced digital infrastructures well-suited for autonomous technologies. Electric vehicles (EVs) are ideal platforms for integrating sensors, artificial intelligence (AI) systems, and communication technologies essential for self-driving features. Additionally, governments worldwide support EV adoption through subsidies, tax incentives, and emissions regulations, which encourage automakers to prioritize both electric and autonomous vehicles, in line with the growing consumer preference for sustainable transportation. Government support is another critical factor driving the growth of the autonomous driving software market.

Countries across North America, Europe, and Asia back autonomous vehicle (AV) research through grants, subsidies, and supportive regulatory frameworks designed to encourage innovation, improve transportation safety, and reduce carbon emissions. Establishing designated testing zones and pilot programs for autonomous vehicles has accelerated technological advancements, while incentives like relaxed testing regulations and tax breaks for manufacturers are prompting more companies to invest in autonomous software development. These measures are vital for overcoming financial and regulatory challenges and facilitating the broader deployment of autonomous driving technologies. Market segmentation by vehicle type highlights passenger cars as a dominant segment, accounting for over 70% of the market share in 2023. This dominance is driven by the growing demand for advanced driver-assistance systems (ADAS) in personal vehicles, spurred by safety concerns and regulatory requirements.

Features such as adaptive cruise control, lane-keeping assistance, and automatic emergency braking are becoming standard, boosting the integration of autonomous software in passenger cars. The potential for ride-hailing and shared mobility applications further drives the demand for autonomous software within this segment, positioning passenger cars as a major growth area. In terms of propulsion, the EV segment held around 62% of the market share in 2023, as electric vehicles are more compatible with autonomous technology due to their advanced electronic systems. EVs' operational efficiency and reduced maintenance needs make them an attractive choice for autonomous applications, especially in sectors like logistics and ride-hailing.

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$1.8 Billion
Forecast Value	$5.5 Billion
CAGR	13.4%

Regionally, North America led the market with over 35% share in 2023, with the U.S. showing rapid progress through technological advancements and government support for AV testing. Europe is also a major contributor, supported by strong R&D investments and favorable government policies focused on sustainability and safety in transportation.

Chapter 1 Methodology & 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 & 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 Hardware manufacturers
- 3.2.2 Software developers
- 3.2.3 Mapping companies
- 3.2.4 Data providers
- 3.2.5 Systems integrators
3.3 Profit margin analysis
3.4 Cost breakdown analysis
3.5 Use cases
3.6 Technology & innovation landscape
3.7 Key news & initiatives
3.8 Regulatory landscape
3.9 Impact forces
- 3.9.1 Growth drivers
  - 3.9.1.1 Increasing government initiatives and funding for autonomous vehicle development
  - 3.9.1.2 Rising urbanization and increasing traffic congestion
  - 3.9.1.3 The shift towards electric and eco-friendly vehicles
  - 3.9.1.4 Technological advancements in artificial intelligence (AI), machine learning, and sensor technologies
- 3.9.2 Industry pitfalls & challenges
  - 3.9.2.1 Varying regulations across regions
  - 3.9.2.2 High development costs required for research and development
3.10 Growth potential analysis
3.11 Porter's analysis
3.12 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 & Forecast, By Level of Automation, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Level 1
5.3 Level 2
5.4 Level 3
5.5 Level 4
5.6 Level 5

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 Passenger car
6.3 Commercial vehicle

Chapter 7 Market Estimates & Forecast, By Propulsion, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 ICE
7.3 Electric vehicles

Chapter 8 Market Estimates & Forecast, By Software, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 Perception & planning software
8.3 Chauffeur software
8.4 Interior sensing software
8.5 Supervision/monitoring software

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Spain
- 9.3.5 Italy
- 9.3.6 Russia
- 9.3.7 Nordics
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 ANZ
- 9.4.6 Southeast Asia
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
9.6 MEA
- 9.6.1 UAE
- 9.6.2 South Africa
- 9.6.3 Saudi Arabia