Report Scope & Overview:

Automotive Intelligence Park Assist System Market Size was valued at USD 10.61 billion in 2022 and is expected to reach USD 23.60 billion by 2030 and grow at a CAGR of 10.5% over the forecast period 2023-2030.

The automotive intelligence park assist system is ADAS which provides intelligent parking functions in a car. This device not only helps drivers park their automobiles but also helps ensure the safety and security of the vehicle itself. These elements work together to allow the vehicle to navigate itself into a parking place with minimal input from the driver. The steering is controlled automatically by the smart park assist system that is installed in a car. This allows the driver to concentrate solely on the controls for the accelerator and brakes, as well as on monitoring their surroundings. The technology makes use of the footage captured by the surround-view monitor, which provides the driver with a virtual perspective from above the vehicle, so facilitating the driver's ability to park the vehicle.

Automotive Intelligence Park Assist System Market Revenue Analysis

Nissan Motor introduced the intelligence park system, which functions in a fundamentally comparable fashion to the Around View Monitor in its overall configuration. On the exterior of the vehicle are a total of four cameras (the front, rear, and both wing mirrors). The video footage captured by the cameras is processed by the system, which then creates a digital representation of a bird's-eye view.



  • Growing concerns regarding parking around the world.

  • The meteoric rise in consumer interest in products that are powered by the Internet of Things (IoT).

  • The rise in the total number of vehicles contributes to the expansion of the market.


  • The market's expansion is hampered by high implementation costs.

  • Insufficiently skilled drivers.


  • Increase in funding for developing self-driving cars.

  • Government efforts to establish smart cities around the world present numerous prospects for industry growth.

  • Technology and infrastructure advances will generate industry growth prospects.


  • There is a dearth of established protocols for developing automotive intelligence park aid systems.

  • Internet penetration in developing countries is hindered by the difficulty of configuring a system.


The globe is currently facing economic, humanitarian, and healthcare issues that have never been seen before as a direct result of COVID-19. However, it has been highly speculated that during and after the COVID-19 crisis, governments will change their priorities, and the focus may divert toward more pressing social and economic issues, while the support for the adoption of electric vehicles will be limited. In addition, as a consequence of the epidemic and the speed with which it swept over the globe, the demand and supply chain for a lot of different products ground to a halt because there were no transportation channels available. Because of this, there was a lack of items, which resulted in an increase in the price of available or alternative products, such as sensors or integrated circuits, which have a wider range of applications in automobiles.


Market, By Technology:

The global market has been divided into Autonomous Parking Assistance, and Semi-autonomous Parking Assistance based on the technology segment. In terms of revenue, the semiautonomous parking assist technology has established itself as the category leader. This technology accounts for sixty percent of the market share. It is anticipated that the market for autonomous parking assistance would display a greater growth rate.

Market, By Component:

The global market has been divided into Ultrasonic Sensor, Camera, Ultrasonic Sensor & Camera based on the component segment. The ultrasonic sensor and camera accounted for more than 57 percent of the market share in terms of revenue, and it is anticipated that they will continue to hold this dominant position over the course of the next few years.


By Technology:

  • Autonomous Parking Assistance

  • Semi-autonomous Parking Assistance

By Component:

  • Ultrasonic Sensor
  • Camera
  • Ultrasonic Sensor & Camera

Automotive Intelligence Park Assist System Market Segmentation Analysis


The global market for automotive intelligence park assistance systems has been broken down into four primary regions: North America, Europe, Asia-Pacific, and the Rest of the World. It is anticipated that the Asia-Pacific region will hold the biggest market share throughout the period covered by the forecast. This is due to the expanding population, scarcity of parking space, and changing lifestyles of consumers located throughout the area. Additionally, rising usage of electrification in vehicles is anticipated to drive demand in this region for automotive intelligence park assist systems. Additionally, the increase in demand for safety features in vehicles as well as the increasing investment by public and private players to develop the automobile sector inbuilt with advanced technology such as IoT, AI, ADAS, Sensors, and other systems, are all contributing factors to the growth of this market in this region.


  • North America

    • The USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • The UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America


Siemens AG (Germany), Toshiba Corporation (Japan), Valeo (France), Robert Bosch GmbH (Germany), Magna International (Canada), ZF Friedrichshafen AG (Germany), Continental AG (Germany), NXP Semiconductors (Netherlands), Toshiba Corporation (Japan), HELLA GmbH & Co. KGaA (Germany), and Delphi Automotive (Germany) are some of the affluent competitors with significant market share in the Automotive Intelligence Park Assist System Market.

Siemens AG (Germany)-Company Financial Analysis

Automotive Intelligence Park Assist System Market Report Scope:
Report Attributes Details
Market Size in 2022 US$ 10.61 Billion
Market Size by 2030 US$ 23.60 Billion
CAGR CAGR of 10.5% From 2023 to 2030
Base Year 2022
Forecast Period 2023-2030
Historical Data 2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • by Technology (Autonomous Parking Assistance, Semi-autonomous Parking Assistance)
• by Component (Ultrasonic Sensor, Camera, Ultrasonic Sensor & Camera)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles Siemens AG (Germany), Toshiba Corporation (Japan), Valeo (France), Robert Bosch GmbH (Germany), Magna International (Canada), ZF Friedrichshafen AG (Germany), Continental AG (Germany), NXP Semiconductors (Netherlands), Toshiba Corporation (Japan), HELLA GmbH & Co. KGaA (Germany), and Delphi Automotive (Germany)
Key Drivers •Growing concerns regarding parking around the world.

•The meteoric rise in consumer interest in products that are powered by the Internet of Things (IoT).
RESTRAINTS •The market's expansion is hampered by high implementation costs.

•Insufficiently skilled drivers.

Frequently Asked Questions

Ans:- The market size is expected to reach USD 9.61 billion by 2021.

Ans:- An automobile intelligence park assist system helps drivers park in tight spaces.

Ans:- Yes.

Ans:- North America and Europe region are anticipated to be the primary driver of the market.

Ans:- The study includes a comprehensive analysis of market trends, as well as present and future market forecasts. DROC analysis, as well as impact analysis for the projected period. Porter’s five forces analysis aids in the study of buyer and supplier potential as well as the competitive landscape etc.

Table of Contents

1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges

4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

4.3 Impact of ongoing Recession

4.3.1 Introduction

4.3.2 Impact on major economies US Canada Germany France United Kingdom China Japan South Korea Rest of the World

5. Value Chain Analysis


6. Porter’s 5 forces model


7.  PEST Analysis


8. Global Automotive Intelligence Park Assist System Market Segmentation, By Technology

8.1 Autonomous Parking Assistance

8.2 Semi-autonomous Parking Assistance

9. Global Automotive Intelligence Park Assist System Market Segmentation, By Component

9.1 Ultrasonic Sensor

9.2 Camera

9.3 Ultrasonic Sensor & Camera

10. Regional Analysis

10.1 Introduction

10.2 North America

10.2.1 the USA

10.2.2  Canada

10.2.3  Mexico

10.3 Europe

10.3.1  Germany

10.3.2  the UK

10.3.3  France

10.3.4  Italy

10.3.5  Spain

10.3.6  The Netherlands

10.3.7  Rest of Europe

10.4 Asia-Pacific

10.4.1  Japan

10.4.2  South Korea

10.4.3  China

10.4.4  India

10.4.5  Australia

10.4.6  Rest of Asia-Pacific

10.5 The Middle East & Africa

10.5.1  Israel

10.5.2  UAE

10.5.3  South Africa

10.5.4  Rest

10.6 Latin America

10.6.1  Brazil

10.6.2  Argentina

10.6.3  Rest of Latin America

11. Company Profiles

11.1 Continental AG (Germany),

11.1.1 Financial

11.1.2 Products/ Services Offered

11.1.3 SWOT Analysis

11.1.4 The SNS view

11.2 Siemens AG (Germany)

11.3 Toshiba Corporation (Japan)

11.4 Valeo (France)

11.5 Robert Bosch GmbH (Germany)

11.6 Magna International (Canada)

11.7 ZF Friedrichshafen AG (Germany)

11.8 NXP Semiconductors (Netherlands)

11.9 Toshiba Corporation (Japan)

11.10 HELLA GmbH & Co. KGaA (Germany)

11.11 Delphi Automotive (Germany)

12. Competitive Landscape

12.1 Competitive Benchmarking

12.2 Market Share analysis

12.3 Recent Developments

13. Conclusion

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Secondary Research

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Primary Research

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Data Bank Validation

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