image

Automotive Intelligence Park Assist System Market Report Scope & Overview:

The Automotive Intelligence Park Assist System Market size was valued at USD 10.93 billion in 2023 and is expected to reach USD 25.12 billion by 2031 and grow at a CAGR of 11.05% over the forecast period 2024-2031.

The Automotive Intelligence Park Assist System (AIPAS) market is primed for substantial growth, driven by a combination of factors. Urbanization is on the rise, with projections indicating a surge of 2 billion people relocating to cities by 2050. This surge heightens parking challenges, making AIPAS a critical solution for drivers. Additionally, government mandates, such as those set by the European Union requiring advanced driver-assistance systems (ADAS), including AIPAS, in all new car models by 2022, are pushing market expansion. Similar regulations are anticipated in other regions, further stimulating adoption rates.

Automotive Intelligence Park Assist System Market Revenue Analysis

Get more information on Automotive Intelligence Park Assist System MarketRequest Sample Report

Advancements in sensor technology and artificial intelligence are enhancing the affordability and sophistication of AIPAS. With substantial investments in AI for autonomous vehicles exceeding $30 billion in 2023, these advancements are set to significantly benefit AIPAS. This convergence of urbanization, regulatory initiatives, and technological progress indicates a promising trajectory for the AIPAS market, presenting lucrative opportunities for forward-thinking investors in the realm of intelligent mobility.

MARKET DYNAMICS: 

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)

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

As the number of vehicles on the road continues to grow, the challenge of finding parking spots and navigating tight spaces becomes more pronounced. This surge in automotive traffic creates a lucrative opening for the market of automotive intelligence park assist systems. With drivers actively searching for solutions to alleviate parking difficulties, the demand for these automated systems, which assume control of the wheel and facilitate parking maneuvers, is poised for substantial escalation.

RESTRAINTS: 

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

  • Insufficiently skilled drivers

OPPORTUNITIES: 

  • Increase in funding for developing Autonomous 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.

The convergence of advanced sensors such as cameras and radar, alongside interconnected parking facilities, is poised to catalyze substantial growth in the intelligent park assist system sector. This integration of vehicle technology with external infrastructural elements promises to streamline and enhance parking processes, driving significant expansion within the industry.

CHALLENGES: 

  • 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

IMPACT OF RUSSIA UKRAINE WAR:

The conflict between Russia and Ukraine has disrupted the Automotive Intelligence Park Assist System Market's growth trajectory significantly. Global supply chain disruptions, stemming from shortages in parts and a general decline in consumer spending driven by inflation, are anticipated to result in a downturn of 15-20% in demand for park assist systems in 2023. This decline is expected to coincide with a 5-8% rise in the price of these systems for new vehicles, attributed to a 10-15% surge in the costs of raw materials and components. Consequently, the market's growth forecast for park assist systems is poised to decelerate from an initial projection of 12% to a more moderate 7-8% in 2023.

IMPACT OF ECONOMIC SLOWDOWN:

The anticipated economic deceleration is poised to temper the expansion of the automotive intelligence park assist system market. With consumers tightening their purse strings on new vehicle purchases, the demand for sophisticated features such as park assist systems is expected to dwindle, potentially resulting in a 5-10% decrease in unit shipments compared to initial projections. Furthermore, economic constraints may compel automakers to prioritize cost-saving strategies, possibly leading to a marginal uptick (approximately 2-3%) in park assist system prices attributable to the adoption of more economical components. Nevertheless, this price upswing is unlikely to entirely counterbalance the decline in demand, thereby triggering a probable downturn in market revenue.

Market, By Technology:

Presently, semi-autonomous systems, which assist drivers during parking but necessitate human involvement, command a majority share of 55%. This dominance may be attributed to factors such as cost-effectiveness and driver inclination towards retaining partial control. Conversely, fully autonomous systems, capable of parking without human intervention, constitute the remaining 45% share. With continuous technological advancements and growing consumer confidence, the market share of autonomous parking systems is anticipated to progressively ascend in the foreseeable future.

Market, By Component:

The automotive intelligence park assist system market can be dissected based on various components, with cameras taking the lead at 55% market dominance. Following closely behind are ultrasonic sensors, commanding a respectable 30% share, while a blend of both cameras and ultrasonic sensors constitutes the remaining 15%. This breakdown underscores the significance of cameras in park assist systems, likely attributed to their ability to offer a visual grasp of the surroundings. Nonetheless, ultrasonic sensors maintain their relevance by providing a cost-effective option for fundamental parking maneuvers. These statistics indicate that the market accommodates diverse customer preferences, with some emphasizing affordability through ultrasonic sensors, while others prioritize the augmented functionality provided by cameras (or a fusion of both).

MARKET SEGMENTATION:

By Technology:

  • Autonomous Parking Assistance

  • Semi-autonomous Parking Assistance

By Component:

  • Ultrasonic Sensor
  • Camera
  • Ultrasonic Sensor & Camera

Automotive-Intelligence-Park-Assist-System-Market-By-Component

 Get Customized Report as per your Business Requirement - Ask For Customized Report

REGIONAL ANALYSIS:

By 2031, the global market for automotive intelligence park assist systems is poised to soar into the multibillion-dollar range, with Asia Pacific spearheading the surge. Projections indicate that this region will seize approximately 35% of the market, propelled by a expanding middle class experiencing an uptick in disposable income and an escalating demand for vehicles packed with advanced features. North America, renowned for its robust automotive manufacturing sector and a penchant for technological advancement, is expected to claim a substantial 28% share. Europe will closely trail at 22%, while the Rest of the World is slated to encompass the remaining 15%. This regional distribution mirrors not just economic dynamics but also governmental regulations and consumer inclinations towards sophisticated driver-assistance technologies.

Automotive-Intelligence-Park-Assist-System-Market-Regional-Share

REGIONAL COVERAGE:

 

North America

  • US

  • Canada

  • Mexico

Europe

  • Eastern Europe

    • Poland

    • Romania

    • Hungary

    • Turkey

    • Rest of Eastern Europe

  • Western Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Netherlands

    • Switzerland

    • Austria

    • Rest of Western Europe

Asia Pacific

  • China

  • India

  • Japan

  • South Korea

  • Vietnam

  • Singapore

  • Australia

  • Rest of Asia Pacific

Middle East & Africa

  • Middle East

    • UAE

    • Egypt

    • Saudi Arabia

    • Qatar

    • Rest of Middle East

  • Africa

    • Nigeria

    • South Africa

    • Rest of Africa

Latin America

  • Brazil

  • Argentina

  • Colombia

  • Rest of Latin America

KEY PLAYERS:

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.

RECENT DEVELOPMENTS:

  • Bosch has spearheaded advancements in parking technology, notably joining forces with Mercedes-Benz in November 2020 to pioneer the Intelligent Park Pilot. This groundbreaking system streamlines parking processes, effectively replacing traditional valet services. Presently, it is featured in the latest S-Class model. Additionally, Bosch has collaborated with Ford to revolutionize electric vehicle charging through automated solutions, including self-parking capabilities for charging stations.

  • Continental, renowned for its array of park assist systems utilizing ultrasonic sensors and cameras to identify obstacles and facilitate parking maneuvers. Continuously innovating, Continental prioritizes refining its systems by introducing functionalities like automated parking mode selection and advanced obstacle detection.

Siemens AG (Germany)-Company Financial Analysis

Company Landscape Analysis

Automotive Intelligence Park Assist System Market Report Scope:
Report Attributes Details
Market Size in 2023 US$ 10.93 Billion
Market Size by 2031 US$ 25.12 Billion
CAGR CAGR of 10.5% From 2024 to 2031
Base Year 2023
Forecast Period 2024-2031
Historical Data 2020-2022
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 (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, 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. Industry Flowchart

3. Research Methodology

4. Market Dynamics

4.1 Drivers

4.2 Restraints

4.3 Opportunities

4.4 Challenges

5. Impact Analysis

5.1 Impact of Russia-Ukraine Crisis

5.2 Impact of Economic Slowdown on Major Countries

5.2.1 Introduction

5.2.2 United States

5.2.3 Canada

5.2.4 Germany

5.2.5 France

5.2.6 UK

5.2.7 China

5.2.8 Japan

5.2.9 South Korea

5.2.10 India

6. Value Chain Analysis

7. Porter’s 5 Forces Model

8.  Pest Analysis

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

9.1 Introduction

9.2 Trend Analysis

9.3 Autonomous Parking Assistance

9.4 Semi-autonomous Parking Assistance 

10. Video Editing Software Market Segmentation, By Application

10.1 Introduction

10.2 Trend Analysis

10.3 Ultrasonic Sensor

10.4 Camera

10.5 Ultrasonic Sensor & Camera

11. Regional Analysis

11. Regional Analysis

11.1 Introduction

11.2 North America

11.2.1 USA

11.2.2 Canada

11.2.3 Mexico

11.3 Europe

11.3.1 Eastern Europe

11.3.1.1 Poland

11.3.1.2 Romania

11.3.1.3 Hungary

11.3.1.4 Turkey

11.3.1.5 Rest of Eastern Europe

11.3.2 Western Europe

11.3.2.1 Germany

11.3.2.2 France

11.3.2.3 UK

11.3.2.4 Italy

11.3.2.5 Spain

11.3.2.6 Netherlands

11.3.2.7 Switzerland

11.3.2.8 Austria

11.3.2.9 Rest of Western Europe

11.4 Asia-Pacific

11.4.1 China

11.4.2 India

11.4.3 Japan

11.4.4 South Korea

11.4.5 Vietnam

11.4.6 Singapore

11.4.7 Australia

11.4.8 Rest of Asia Pacific

11.5 The Middle East & Africa

11.5.1 Middle East

11.5.1.1 UAE

11.5.1.2 Egypt

11.5.1.3 Saudi Arabia

11.5.1.4 Qatar

11.5.1.5 Rest of the Middle East

11.5.2 Africa

11.5.2.1 Nigeria

11.5.2.2 South Africa

11.5.2.3 Rest of Africa

11.6 Latin America

11.6.1 Brazil

11.6.2 Argentina

11.6.3 Colombia

11.6.4 Rest of Latin America

12. Company Profiles

12.1 Continental AG (Germany),

12.1.1 Company Overview

12.1.2 Financial

12.1.3 Products/ Services Offered

12.1.4 SWOT Analysis

12.1.5 The SNS View

12.2 Siemens AG (Germany)

12.2.1 Company Overview

12.2.2 Financial

12.2.3 Products/ Services Offered

12.2.4 SWOT Analysis

12.2.5 The SNS View

12.3 Toshiba Corporation (Japan)

12.3.1 Company Overview

12.3.2 Financial

12.3.3 Products/ Services Offered

12.3.4 SWOT Analysis

12.3.5 The SNS View

12.4 Valeo (France)

12.4.1 Company Overview

12.4.2 Financial

12.4.3 Products/ Services Offered

12.4.4 SWOT Analysis

12.4.5 The SNS View

12.5 Robert Bosch GmbH (Germany).

12.5.1 Company Overview

12.5.2 Financial

12.5.3 Products/ Services Offered

12.5.4 SWOT Analysis

12.5.5 The SNS View

12.6 Magna International (Canada)

12.6.1 Company Overview

12.6.2 Financial

12.6.3 Products/ Services Offered

12.6.4 SWOT Analysis

12.6.5 The SNS View

12.7 ZF Friedrichshafen AG (Germany)

12.7.1 Company Overview

12.7.2 Financial

12.7.3 Products/ Services Offered

12.7.4 SWOT Analysis

12.7.5 The SNS View

12.8 NXP Semiconductors (Netherlands)

12.8.1 Company Overview

12.8.2 Financial

12.8.3 Products/ Services Offered

12.8.4 SWOT Analysis

12.8.5 The SNS View

12.9 Toshiba Corporation (Japan)

12.9.1 Company Overview

12.9.2 Financial

12.9.3 Products/ Services Offered

12.9.4 SWOT Analysis

12.9.5 The SNS View

12.10 Others

12.10.1 Company Overview

12.10.2 Financial

12.10.3 Products/ Services Offered

12.10.4 SWOT Analysis

12.10.5 The SNS View

13. Competitive Landscape

13.1 Competitive Benchmarking

13.2 Market Share Analysis

13.3 Recent Developments

            13.3.1 Industry News

            13.3.2 Company News

            13.3.3 Mergers & Acquisitions

14. Use Case and Best Practices

15. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.

 

The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.

Data Bank Validation

Step 4: QA/QC Process

After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.

Step 5: Final QC/QA Process:

This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.


  •            5000 (33% Discount)


  •            8950 (40% Discount)


  •            3050 (23% Discount)

Start a Conversation

Hi! Click one of our member below to chat on Phone