세계의 자동차 지능형 주차 보조 시스템 시장 규모 : 구성요소별, 기술별, 차량별, 지역별, 전망 및 예측(2024-2032년)

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.