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市场调查报告书
商品编码
1620568

自动驾驶软体市场机会、成长动力、产业趋势分析及2024年至2032年预测

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

出版日期: | 出版商: Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2023 年全球自动驾驶软体市场价值为 18 亿美元,预计 2024 年至 2032 年年复合成长率(CAGR) 将达到 13.4%。友善车辆,提供非常适合自动驾驶技术的先进数位基础设施。电动车 (EV) 是整合自动驾驶功能所必需的感测器、人工智慧 (AI) 系统和通讯技术的理想平台。此外,世界各国政府透过补贴、税收优惠和排放法规支持电动车的采用,鼓励汽车製造商优先考虑电动车和自动驾驶汽车,以符合消费者对永续交通日益增长的偏好。政府支持是推动自动驾驶软体市场成长的另一个关键因素。

北美、欧洲和亚洲国家透过拨款、补贴和支持性监管框架来支持自动驾驶汽车 (AV) 研究,旨在鼓励创新、提高交通安全和减少碳排放。建立自动驾驶汽车指定测试区和试点项目加速了技术进步,而放宽测试法规和製造商税收减免等激励措施正在促使更多公司投资自动驾驶软体开发。这些措施对于克服金融和监管挑战以及促进自动驾驶技术的更广泛部署至关重要。按车型进行市场细分,乘用车是主要细分市场,到2023 年将占市场份额的70% 以上。问题推动的和监管要求。

自适应巡航控制、车道维持辅助和自动紧急煞车等功能正在成为标准配置,推动自动驾驶软体在乘用车中的整合。叫车和共享行动应用的潜力进一步推动了该领域对自动驾驶软体的需求,使乘用车成为主要成长领域。在推进力方面,电动车由于其先进的电子系统,与自动驾驶技术更相容,因此到 2023 年,电动车细分市场将占据约 62% 的市场份额。电动车的运作效率和减少的维护需求使其成为自动驾驶应用的有吸引力的选择,特别是在物流和叫车等领域。

市场范围
开始年份 2023年
预测年份 2024-2032
起始值 18亿美元
预测值 55 亿美元
复合年增长率 13.4%

从地区来看,北美在 2023 年以超过 35% 的份额引领市场,其中美国透过技术进步和政府对 AV 测试的支持显示出快速进步。欧洲也是一个主要贡献者,受到强大的研发投资和专注于交通运输永续性和安全的有利政府政策的支持。

目录

第 1 章:方法与范围

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
  • 供应商格局
    • 硬体厂商
    • 软体开发商
    • 测绘公司
    • 数据提供者
    • 系统整合商
  • 利润率分析
  • 成本明细分析
  • 使用案例
  • 技术与创新格局
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 增加政府对自动驾驶汽车开发的措施和资金
      • 都市化进程不断加快,交通壅塞日益加剧
      • 向电动和环保汽车的转变
      • 人工智慧 (AI)、机器学习和感测器技术的技术进步
    • 产业陷阱与挑战
      • 不同地区的规定不同
      • 研发需要高昂的开发成本
  • 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:依自动化程度划分,2021 - 2032 年

  • 主要趋势
  • 1级
  • 2级
  • 3级
  • 4级
  • 5级

第 6 章:市场估计与预测:按车辆划分,2021 - 2032 年

  • 主要趋势
  • 搭乘用车
  • 商用车

第 7 章:市场估计与预测:按 Propulsion 划分,2021 - 2032 年

  • 主要趋势
  • 电动车

第 8 章:市场估计与预测:依软体划分,2021 - 2032 年

  • 主要趋势
  • 感知与规划软体
  • 代驾软体
  • 车内感测软体
  • 监督/监控软体

第 9 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
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 东南亚
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯

第 10 章:公司简介

  • 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)
简介目录
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 Year2023
Forecast Year2024-2032
Start Value$1.8 Billion
Forecast Value$5.5 Billion
CAGR13.4%

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.

Table of Contents

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

Chapter 10 Company Profiles

  • 10.1 Aptiv
  • 10.2 Aurora Innovation
  • 10.3 Baidu
  • 10.4 BlackBerry
  • 10.5 Bosch
  • 10.6 Continental AG
  • 10.7 Cruise (GM)
  • 10.8 Hitachi Astemo
  • 10.9 Huawei
  • 10.10 Kodiak Robotics
  • 10.11 Magna International
  • 10.12 Mobileye
  • 10.13 NVIDIA Corporation
  • 10.14 Pony.ai
  • 10.15 Qualcomm
  • 10.16 Tesla
  • 10.17 Valeo
  • 10.18 Waymo (Alphabet)
  • 10.19 ZF Friedrichshafen AG
  • 10.20 Zoox (Amazon)