汽车智慧停车辅助系统市场规模 - 按组件、按技术、按车辆、区域展望与预测，2024 年 - 2032 年

在营运效率、驾驶员生产力提高、法规遵循和成本节约的推动下，全球汽车智慧停车辅助系统市场在 2024 年至 2032 年期间将以 17% 的复合年增长率成长。

消费者对自动驾驶汽车日益增长的需求是推动市场扩张的催化剂。根据爱立信的数据，近一半的消费者（总计 47%）表示对自动驾驶汽车感兴趣。这种不断增长的需求反映出人们倾向于更安全、更方便、技术先进的交通解决方案。随着自动驾驶汽车越来越受到消费者的青睐，汽车产业见证了向自动驾驶行动解决方案的变革性转变。

因此，製造商被迫优先将先进技术（包括停车辅助系统）整合到其车辆产品组合中，以满足不断变化的消费者偏好。这直接转化为人们对停车辅助技术的兴趣日益浓厚，因为消费者寻求配备先进驾驶辅助系统(ADAS) 和自动驾驶功能的车辆。因此，製造商被迫创新和完善停车辅助系统，以满足不断变化的消费者期望，从而推动市场成长。

汽车智慧停车辅助系统市场根据组件、技术、车辆和地区进行分类。

到 2032 年，自动停车辅助系统领域将呈现强劲增长，因为这些复杂的系统利用超音波感测器、雷达和光达等最先进的感测器技术，以无与伦比的精度检测障碍物和导航车辆。透过自主控制转向、加速和煞车功能，这些系统即使在最具挑战性的环境中也能实现无缝的平行和垂直停车操作，从而增强了其市场吸引力。

商用车领域的汽车智慧停车辅助系统市场份额将在2024 年至2032 年期间获得可观的成长，因为车队营运商和物流公司正在认识到将停车辅助技术整合到车辆中以提高营运效率和提高驾驶员生产力的好处。此外，透过降低停车相关事故的风险并最大限度地减少车辆停机时间，这些系统有助于降低维护和维修成本以及保险费。

在快速扩张的汽车产业的推动下，随着先进驾驶辅助系统(ADAS) 的日益普及，亚太地区汽车智慧停车辅助系统产业将在 2024 年至 2032 年呈现上升趋势。中国、日本和韩国等国家处于创新前沿，国内汽车製造商和技术公司带头开发下一代停车辅助解决方案。

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
  • 零件供应商
  • 汽车製造商
  • 技术提供者
  • 终端用户
• 利润率分析
• 技术与创新格局
• 专利分析
• 重要新闻和倡议
• 监管环境
• 衝击力
  • 成长动力
    • 自动驾驶汽车的需求不断增长
    • 日益严重的都市化与停车问题
    • 感测器技术不断进步
    • 政府加大智慧城市和基础建设发展倡议
  • 产业陷阱与挑战
    • 技术成本高
    • 可靠性和安全性问题
• 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：按组成部分，2018-2032 年

• 主要趋势
• 超音波感测器
• 相机

第 6 章：市场估计与预测：依技术划分，2018-2032 年

• 主要趋势
• 自动停车辅助
• 半自动停车辅助

第 7 章：市场估计与预测：按车辆划分，2018-2032 年

• 主要趋势
• 搭乘用车
• 商务车辆

第 8 章：市场估计与预测：按地区，2018-2032

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 西班牙
  • 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
  • 南非
  • 沙乌地阿拉伯
  • 阿联酋
  • MEA 的其余部分

第 9 章：公司简介

• Aisin Seiki Co., Ltd.
• Ambarella, Inc.
• Aurora Innovation, Inc.
• Clarion
• Continental AG
• Denso Corporation
• Hella GmbH & Co. KGaA
• Hitachi Ltd.
• Magna International
• Mobileye (Intel)
• NXP Semiconductors
• Robert Bosch Gmbh
• Siemens AG
• STMicroelectronics NV
• Texas Instruments Incorporated
• Toshiba Corporation
• Valeo SA
• Waymo LLC
• Xilinx, Inc.
• ZF Friedrichshafen AG
• Zoox, Inc.

Global Automotive Intelligence Park Assist System Market will grow at 17% CAGR over 2024-2032, driven by operational efficiency, enhanced driver productivity, regulatory compliance, and cost savings.

The burgeoning consumer appetite for autonomous vehicles stands as a catalyst propelling the expansion of the market. As per Ericsson, nearly half of consumers, totaling 47%, express interest in self-driving cars. This escalating demand reflects an inclination towards safer, more convenient, and technologically sophisticated transportation solutions. As self-driving cars gain traction among consumers, the automotive industry witnesses a transformative shift towards autonomous mobility solutions.

Manufacturers are therefore compelled to prioritize the integration of advanced technologies, including park assist systems, into their vehicle portfolios to cater to evolving consumer preferences. This translates directly into heightened interest in park assist technologies, as consumers seek vehicles equipped with advanced driver assistance systems (ADAS) and autonomous capabilities. Consequently, manufacturers are driven to innovate and refine park assist systems to meet evolving consumer expectations, thus fueling market growth.

The Automotive Intelligence Park Assist System Market is classified based on component, technology, vehicle, and region.

The Autonomous Park Assist systems segment will exhibit robust growth through 2032 as these sophisticated systems leverage state-of-the-art sensor technologies, including ultrasonic sensors, radar, and LiDAR, to detect obstacles and navigate vehicles with unparalleled precision. By autonomously controlling steering, acceleration, and braking functions, these systems enable seamless parallel and perpendicular parking maneuvers even in the most challenging environments, thus enhancing their market appeal.

The Automotive Intelligence Park Assist System Market Share from the commercial vehicles segment will garner decent gains over 2024-2032, as fleet operators and logistics companies are recognizing the benefits of integrating park assist technologies into their vehicles to improve operational efficiency and enhance driver productivity. Moreover, by reducing the risk of parking-related accidents and minimizing vehicle downtime, these systems help lower maintenance and repair costs, as well as insurance premiums.

Asia Pacific Automotive Intelligence Park Assist System Industry will showcase an upward growth trajectory from 2024 to 2032, driven by a rapidly expanding automotive industry, in line with the rising adoption of advanced driver assistance systems (ADAS). Countries such as China, Japan, and South Korea are at the forefront of innovation, with domestic automotive manufacturers and technology firms spearheading the development of next-generation park assist solutions.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definitions
• 1.2 Base estimates & calculations
• 1.3 Forecast calculations
• 1.4 Data sources
  • 1.4.1 Primary
  • 1.4.2 Secondary
    • 1.4.2.1 Paid sources
    • 1.4.2.2 Public sources

Chapter 2 Executive Summary

• 2.1 Industry 360 degree synopsis, 2018-2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Component suppliers
  • 3.2.2 Automotive manufacturers
  • 3.2.3 Technology providers
  • 3.2.4 End users
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Key news & initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Rising demand for autonomous vehicles
    • 3.8.1.2 Increasing urbanization and parking problems
    • 3.8.1.3 Growing advancements in sensor technology
    • 3.8.1.4 Increasing government initiatives for development of smart cities and infrastructure
  • 3.8.2 Industry pitfalls & challenges
    • 3.8.2.1 High technology cost
    • 3.8.2.2 Reliability and safety concerns
• 3.9 Growth potential analysis
• 3.10 Porter's analysis
  • 3.10.1 Supplier power
  • 3.10.2 Buyer power
  • 3.10.3 Threat of new entrants
  • 3.10.4 Threat of substitutes
  • 3.10.5 Industry rivalry
• 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 & Forecast, By Component, 2018-2032 ($Bn)

• 5.1 Key trends
• 5.2 Ultrasonic sensors
• 5.3 Camera

Chapter 6 Market Estimates & Forecast, By Technology, 2018-2032 ($Bn)

• 6.1 Key trends
• 6.2 Autonomous park assist
• 6.3 Semi-autonomous park assist

Chapter 7 Market Estimates & Forecast, By Vehicle, 2018-2032 ($Bn)

• 7.1 Key trends
• 7.2 Passenger cars
• 7.3 Commercial vehicles

Chapter 8 Market Estimates & Forecast, By Region, 2018-2032 ($Bn)

• 8.1 Key trends
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
• 8.3 Europe
  • 8.3.1 UK
  • 8.3.2 Germany
  • 8.3.3 France
  • 8.3.4 Italy
  • 8.3.5 Spain
  • 8.3.6 Russia
  • 8.3.7 Nordics
  • 8.3.8 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 India
  • 8.4.3 Japan
  • 8.4.4 South Korea
  • 8.4.5 ANZ
  • 8.4.6 Southeast Asia
  • 8.4.7 Rest of Asia Pacific
• 8.5 Latin America
  • 8.5.1 Brazil
  • 8.5.2 Mexico
  • 8.5.3 Argentina
  • 8.5.4 Rest of Latin America
• 8.6 MEA
  • 8.6.1 South Africa
  • 8.6.2 Saudi Arabia
  • 8.6.3 UAE
  • 8.6.4 Rest of MEA

Chapter 9 Company Profiles

• 9.1 Aisin Seiki Co., Ltd.
• 9.2 Ambarella, Inc.
• 9.3 Aurora Innovation, Inc.
• 9.4 Clarion
• 9.5 Continental AG
• 9.6 Denso Corporation
• 9.7 Hella GmbH & Co. KGaA
• 9.8 Hitachi Ltd.
• 9.9 Magna International
• 9.10 Mobileye (Intel)
• 9.11 NXP Semiconductors
• 9.12 Robert Bosch Gmbh
• 9.13 Siemens AG
• 9.14 STMicroelectronics NV
• 9.15 Texas Instruments Incorporated
• 9.16 Toshiba Corporation
• 9.17 Valeo SA
• 9.18 Waymo LLC
• 9.19 Xilinx, Inc.
• 9.20 ZF Friedrichshafen AG
• 9.21 Zoox, Inc.