Intelligent Parking Assist Systems Market Report, Global Industry Analysis, Market Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2023 - 2030

  • Published Date: Jan, 2024
  • Report ID: CR0185941
  • Format: Electronic (PDF)
  • Number of Pages: 181
  • Author(s): Joshi, Madhavi

Report Overview

The Intelligent Parking Assist Systems Market size was estimated at USD 3.5 billion in 2023 and is projected to reach USD 9.5 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 15.50% during the forecast period (2024-2030).

Intelligent Parking Assist Systems Market

(Market Size)
$3.5 billion
$9.5 billion
2023
2030
Source: Citius Research
Study Period 2018 - 2030
Base Year For Estimation 2023
Forecast Data Period 2024 - 2030
CAGR (2024-2030) 15.50%
2023 Market Size USD 3.5 billion
2030 Market Size USD 9.5 billion
Key Players Bosch, Continental, Valeo, Denso, Aisin

Market Summary

The intelligent parking assist systems market is a rapidly advancing segment within the automotive and transportation industry, characterized by the integration of sophisticated sensor technology and software algorithms to automate and enhance the vehicle parking process. This market is driven by the increasing consumer demand for convenience, safety, and luxury features in modern vehicles, alongside the global push towards smarter urban mobility solutions. Automakers are increasingly incorporating these systems as either standard or optional features across a broadening range of vehicle models, from premium sedans to mid-range compact cars. The technology fundamentally relies on a network of ultrasonic sensors, cameras, and electronic control units that work in concert to identify suitable parking spaces and control steering, acceleration, and braking to execute the maneuver with minimal driver input. The evolution of this market is intrinsically linked to the broader development of autonomous driving technologies, with parking assist often serving as a consumer's first hands-on experience with vehicle automation. The competitive landscape is dynamic, with automotive OEMs, tier-one suppliers, and technology specialists all vying for market share through continuous innovation and strategic partnerships.

Key Highlights

Key highlights of the intelligent parking assist systems market include the technological shift from semi-autonomous to fully autonomous parking capabilities. Early systems required the driver to control the gear shift and brakes, while contemporary advanced systems offer complete hands-free operation, with some even allowing the driver to exit the vehicle and initiate parking via a smartphone app. Another significant highlight is the convergence of parking assist with other advanced driver-assistance systems (ADAS), such as surround-view monitoring and automatic emergency braking, creating a more holistic and robust safety suite. The proliferation of electric vehicles has also acted as a catalyst, as these high-tech platforms readily embrace such automated features. Furthermore, the development of automated valet parking, which interfaces with smart infrastructure in parking garages, represents the cutting edge of this technology, pointing towards a future of seamlessly integrated urban mobility. The strategic focus for leading companies like Bosch, Continental, and Valeo is on enhancing sensor fusion, improving software algorithms for greater accuracy in diverse conditions, and reducing the overall system cost to accelerate adoption in mass-market vehicle segments.

Drivers, Opportunities & Restraints

The primary drivers propelling the intelligent parking assist systems market are the escalating consumer appetite for enhanced comfort and safety features and the concurrent rise in stringent government regulations and safety ratings that encourage the adoption of ADAS technologies. The increasing complexity of urban parking environments and the high cost associated with parking-related accidents further incentivize consumers to opt for vehicles equipped with these intelligent systems. Significant opportunities abound in the form of technological integration with smart city infrastructure, the development of fully autonomous valet parking solutions, and the untapped potential in emerging economies where automotive sales are growing rapidly. However, the market faces considerable restraints, including the high initial cost of these systems, which currently limits their penetration to premium and luxury vehicle segments. Technical challenges related to system performance in adverse weather conditions, such as heavy rain or snow obscuring sensors and cameras, also present hurdles. Furthermore, concerns regarding data security and privacy, especially for systems that rely on cloud connectivity and vehicle-to-infrastructure communication, could potentially slow market growth if not adequately addressed by industry stakeholders.

Concentration Insights

The market concentration for intelligent parking assist systems is characterized by a high level of consolidation among a few dominant global tier-one suppliers and technology giants who possess the necessary capital and expertise for extensive research and development. Companies such as Robert Bosch GmbH, Continental AG, Valeo SA, and Denso Corporation command a significant share of the market, providing integrated systems and key components to nearly all major automotive OEMs worldwide. These established players compete intensely on the basis of technological innovation, system reliability, and cost-effectiveness. The market also features a ecosystem of specialized technology firms and startups focused on specific niches, such as advanced artificial intelligence software for image processing or ultra-precise ultrasonic sensors. The concentration of technological know-how and manufacturing capability means that automotive manufacturers often rely on these specialized suppliers rather than developing such complex systems entirely in-house. This dynamic creates a market where partnerships, mergers, and acquisitions are common strategies for gaining a competitive edge and accessing new patented technologies.

Type Insights

The intelligent parking assist systems market can be segmented by technology type, primarily into ultrasonic sensor-based systems and camera-based vision systems, with the most advanced solutions employing a combination of both for sensor fusion. Ultrasonic sensor systems are the most widely deployed, using high-frequency sound waves to detect obstacles and measure distances to surrounding objects. They are highly effective for close-range detection and are relatively cost-effective. Camera-based vision systems utilize one or more cameras to provide a visual feed of the vehicle's surroundings, often processed to create a top-down surround-view perspective for the driver. These systems offer superior object identification capabilities, such as distinguishing between a curb and a pedestrian. The emerging and most sophisticated type is the fusion system, which integrates data from ultrasonic sensors, cameras, and sometimes even radar and lidar. This multi-modal approach significantly enhances system accuracy, reliability, and functionality, enabling more complex maneuvers like remote parking and automated valet functions. The choice of system type is a key differentiator for automakers, balancing performance, feature set, and overall cost.

Application Insights

In terms of application, intelligent parking assist systems are predominantly found in passenger cars, which represent the largest segment due to high production volumes and strong consumer demand for convenience features. Within this segment, penetration is highest in luxury and premium vehicles, though it is steadily trickling down to mid-range and economy models as technology costs decrease. The application in commercial vehicles is a growing area of interest, particularly for large vehicles like buses and trucks where parking maneuvers are notably challenging and the risk of low-speed accidents is high. Implementing these systems in commercial fleets can lead to reduced repair costs, lower insurance premiums, and enhanced safety for pedestrians and other road users. Another critical application is in the development of autonomous driving and robo-taxi services, where flawless automated parking is a fundamental requirement for operational viability. The technology is also being adapted for use in specialized vehicles and industrial settings, such as automated guided vehicles (AGVs) in warehouses, indicating a broadening scope of application beyond traditional automotive sectors.

Regional Insights

Regionally, the adoption and development of intelligent parking assist systems are most advanced in regions with mature automotive industries and high consumer purchasing power, namely North America, Europe, and parts of the Asia-Pacific. Europe stands as a significant hub, driven by the presence of leading luxury automakers and tier-one suppliers, as well as stringent regional safety regulations that mandate certain ADAS features. The Asia-Pacific region, particularly countries like China, Japan, and South Korea, represents the fastest-growing market. This growth is fueled by massive automotive production, rising disposable incomes, a strong focus on technological innovation, and supportive government policies aimed at promoting smarter transportation. North America remains a major market, with high consumer acceptance of advanced vehicle technologies. Other regions, including Latin America and the Middle East and Africa, are expected to exhibit gradual growth, following the global trend as the technology becomes more affordable and as local infrastructure and regulatory frameworks evolve to support advanced automotive technologies.

Company Insights

The competitive landscape of the intelligent parking assist systems market is defined by a mix of established automotive suppliers and technology-focused corporations. Robert Bosch GmbH is a foremost player, renowned for its comprehensive suite of sensors, control units, and software that power parking assist functionalities for numerous global brands. Continental AG offers its advanced Park Assist system, which includes semi-autonomous and fully autonomous features, leveraging its expertise in automotive safety and electronics. Valeo SA provides a range of parking solutions, from ultrasonic sensors to its latest automated valet parking system, emphasizing innovation and integration. Denso Corporation, Aisin Seiki Co., Ltd., and ZF Friedrichshafen AG are other pivotal suppliers, each contributing critical components and integrated systems. Beyond traditional auto parts makers, technology companies like NVIDIA Corporation are increasingly influential, providing the high-performance computing platforms necessary for processing complex sensor data in real-time. This diverse vendor ecosystem necessitates strong R&D capabilities and close collaboration with automotive OEMs to develop customized, reliable, and cost-competitive solutions.

Recent Developments

Recent developments in the intelligent parking assist systems market are overwhelmingly focused on achieving higher levels of autonomy and seamless integration with the vehicle's ecosystem and external infrastructure. A prominent trend is the commercialization of remote parking assist, which allows the driver to maneuver the vehicle into or out of a tight parking space from outside the car using a smartphone key. Another significant advancement is the progression towards automated valet parking, where the vehicle can independently navigate a parking garage, find an empty spot, and park itself without any human intervention; this often requires vehicle-to-infrastructure communication technology. Suppliers are also making substantial strides in enhancing software algorithms through machine learning and artificial intelligence to improve object recognition and decision-making capabilities, especially in complex and dynamic urban environments. Furthermore, there is a concerted effort to reduce the system's cost and physical footprint to facilitate wider adoption across all vehicle segments. Partnerships between automakers, technology firms, and parking facility operators are becoming more common to pilot and deploy these next-generation parking solutions.

Report Segmentation

This market research report on the intelligent parking assist systems market offers a detailed and structured analysis segmented across multiple dimensions to provide a comprehensive view of the industry landscape. The segmentation typically includes a breakdown by system type, distinguishing between semi-autonomous and fully autonomous parking assist systems, and further by technology, such as ultrasonic sensor and camera-based systems. The report is segmented by vehicle type, covering passenger cars and commercial vehicles, with potential further splits by car class. Application segmentation details the use cases, from standard parking assist to more advanced remote parking and automated valet parking. A crucial component of the report is its geographical segmentation, which provides analysis and forecasts for key regions including North America, Europe, Asia-Pacific, and the Rest of the World, with further breakdowns into major countries within these regions. This multi-faceted segmentation allows stakeholders to identify precise growth opportunities, understand regional dynamics, analyze competitive strategies, and assess the adoption trends across different vehicle types and technological capabilities.

FAQs

What is an intelligent parking assist system?

An intelligent parking assist system is an advanced driver-assistance feature that utilizes sensors, cameras, and electronic control units to help a driver park a vehicle. It automates the steering and, in more advanced versions, also controls the acceleration, braking, and gear shifting to maneuver the car into a parking space with minimal or no input from the driver.

How does intelligent parking assist work?

The system works by first using ultrasonic sensors or cameras to scan the vehicle's surroundings and identify a viable parking space that fits the car's dimensions. Once the driver activates the system and selects the space, the electronic control unit takes over, calculating the optimal steering angles and vehicle path. It then automatically controls the steering wheel to guide the car into the space, while the driver may control the gear and brakes in semi-automatic systems, or the system handles everything in fully automatic versions.

What are the benefits of intelligent parking assist?

The primary benefits include significantly reduced driver stress and effort when parking, especially in tight urban spaces. It enhances safety by minimizing the risk of low-speed collisions with obstacles, other vehicles, or pedestrians that are difficult to see. Furthermore, it can help prevent minor scrapes and dents, potentially lowering maintenance and insurance costs, and adds a substantial value proposition for convenience and luxury in modern vehicles.

Which cars have intelligent parking assist?

Intelligent parking assist was initially available only in high-end luxury vehicles from manufacturers like BMW, Mercedes-Benz, and Lexus. However, it has become increasingly common and is now offered by a wide range of automakers across various segments, including Toyota, Ford, Volkswagen, Hyundai, and Kia, often as an optional feature on mid-range and even some economy models.

What is the difference between parking sensors and parking assist?

Parking sensors are a passive system that simply alerts the driver to nearby obstacles through audible beeps or visual displays, leaving the driver to manually execute the parking maneuver. Parking assist is an active system that goes beyond alerts; it actually takes control of the vehicle's steering to automatically guide it into the parking space, representing a significant step forward in automation and driver assistance.

Can intelligent parking assist park a car by itself?

The capabilities vary by system. Traditional intelligent parking assist systems require the driver to remain in the vehicle to control the gearshift and brakes. However, the latest advanced systems, often called remote parking assist or automated valet parking, can indeed park the car by itself. These allow the driver to exit the vehicle and initiate the parking process via a key fob or smartphone application, with the car performing all aspects of the maneuver autonomously.

Citius Research has developed a research report titled “Intelligent Parking Assist Systems Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” delivering key insights regarding business intelligence and providing concrete business strategies to clients in the form of a detailed syndicated report. The report details out the factors such as business environment, industry trend, growth opportunities, competition, pricing, global and regional market analysis, and other market related factors.

Details included in the report for the years 2024 through 2030

• Intelligent Parking Assist Systems Market Potential
• Segment-wise breakup
• Compounded annual growth rate (CAGR) for the next 6 years
• Key customers and their preferences
• Market share of major players and their competitive strength
• Existing competition in the market
• Price trend analysis
• Key trend analysis
• Market entry strategies
• Market opportunity insights

The report focuses on the drivers, restraints, opportunities, and challenges in the market based on various factors geographically. Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report. The Intelligent Parking Assist Systems Market report is segmented on the basis of various market segments and their analysis, both in terms of value and volume, for each region for the period under consideration.

Intelligent Parking Assist Systems Market Segmentation

Market Segmentation

Regions Covered

• North America
• Latin America
• Europe
• MENA
• Asia Pacific
• Sub-Saharan Africa and
• Australasia

Intelligent Parking Assist Systems Market Analysis

The report covers below mentioned analysis, but is not limited to:

• Overview of Intelligent Parking Assist Systems Market
• Research Methodology
• Executive Summary
• Market Dynamics of Intelligent Parking Assist Systems Market
  • Driving Factors
  • Restraints
  • Opportunities
• Global Market Status and Forecast by Segment A
• Global Market Status and Forecast by Segment B
• Global Market Status and Forecast by Segment C
• Global Market Status and Forecast by Regions
• Upstream and Downstream Market Analysis of Intelligent Parking Assist Systems Market
• Cost and Gross Margin Analysis of Intelligent Parking Assist Systems Market
• Intelligent Parking Assist Systems Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030
  • Competition Landscape
  • Market Share of Major Players
• Key Recommendations

The “Intelligent Parking Assist Systems Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” report helps the clients to take business decisions and to understand strategies of major players in the industry. The report delivers the market driven results supported by a mix of primary and secondary research. The report provides the results triangulated through authentic sources and upon conducting thorough primary interviews with the industry experts. The report includes the results on the areas where the client can focus and create point of parity and develop a competitive edge, based on real-time data results.

Intelligent Parking Assist Systems Market Key Stakeholders

Below are the key stakeholders for the Intelligent Parking Assist Systems Market:

• Manufacturers
• Distributors/Traders/Wholesalers
• Material/Component Manufacturers
• Industry Associations
• Downstream vendors

Intelligent Parking Assist Systems Market Report Scope

Report AttributeDetails
Base year2023
Historical data2018 – 2023
Forecast2024 - 2030
CAGR2024 - 2030
Quantitative UnitsValue (USD Million)
Report coverageRevenue Forecast, Competitive Landscape, Growth Factors, Trends and Strategies. Customized report options available on request
Segments coveredProduct type, technology, application, geography
Regions coveredNorth America, Latin America, Europe, MENA, Asia Pacific, Sub-Saharan Africa and Australasia
Countries coveredUS, UK, China, Japan, Germany, India, France, Brazil, Italy, Canada, Russia, South Korea, Australia, Spain, Mexico and others
Customization scopeAvailable on request
PricingVarious purchase options available as per your research needs. Discounts available on request

COVID-19 Impact Analysis

Like most other markets, the outbreak of COVID-19 had an unfavorable impact on the Intelligent Parking Assist Systems Market worldwide. This report discusses in detail the disruptions experienced by the market, the impact on flow of raw materials, manufacturing operations, production trends, consumer demand and the projected future of this market post pandemic.

The report has helped our clients:

• To describe and forecast the Intelligent Parking Assist Systems Market size, on the basis of various segmentations and geography, in terms of value and volume
• To measure the changing needs of customers/industries
• To provide detailed information regarding the drivers, restraints, opportunities, and challenges influencing the growth of the market
• To gain competitive intelligence and uncover new opportunities
• To analyse opportunities in the market for stakeholders by identifying high-growth segments in Intelligent Parking Assist Systems Market
• To strategically profile key players and provide details of the current competitive landscape
• To analyse strategic approaches adopted by players in the market, such as product launches and developments, acquisitions, collaborations, contracts, expansions, and partnerships

Report Customization

Citius Research provides free customization of reports as per your need. This report can be personalized to meet your requirements. Get in touch with our sales team, who will guarantee you to get a report that suits your necessities.

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Frequently Asked Questions

The Global Intelligent Parking Assist Systems Market size was valued at $XX billion in 2023 and is anticipated to reach $XX billion by 2030 growing at a CAGR of XX%
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Table of Contents

Chapter 1. Introduction
  1.1. Market Scope
  1.2. Key Segmentations
  1.3. Research Objective
Chapter 2. Research Methodology & Assumptions
Chapter 3. Executive Summary
Chapter 4. Market Background
  4.1. Dynamics
    4.1.1. Drivers
    4.1.2. Restraints
    4.1.3. Opportunity
    4.1.4. Challenges
  4.2. Key Trends in the Impacting the Market
    4.2.1. Demand & Supply
  4.3. Industry SWOT Analysis
  4.4. Porter’s Five Forces Analysis
  4.5. Value and Supply Chain Analysis
  4.6. Macro-Economic Factors
  4.7. COVID-19 Impact Analysis
    4.7.1. Global and Regional Assessment
  4.8. Profit Margin Analysis
  4.9. Trade Analysis
    4.9.1. Importing Countries
    4.9.2. Exporting Countries
  4.10. Market Entry Strategies
  4.11. Market Assessment (US$ Mn and Units)
Chapter 5. Global Intelligent Parking Assist Systems Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment A
  5.1. By Segment A, 2024 - 2030
    5.1.1. Sub-Segment A
    5.1.2. Sub-Segment B
  5.2. Opportunity Analysis
Chapter 6. Global Intelligent Parking Assist Systems Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment B
  6.1. By Segment B, 2024 - 2030
    6.1.1. Sub-Segment A
    6.1.2. Sub-Segment B
  6.2. Opportunity Analysis
Chapter 7. Global Intelligent Parking Assist Systems Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment C
  7.1. By Segment C, 2024 - 2030
    7.1.1. Sub-Segment A
    7.1.2. Sub-Segment B
  7.2. Opportunity Analysis
Chapter 8. Global Intelligent Parking Assist Systems Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Region
  8.1. By Region, 2024 - 2030
    8.1.1. North America
    8.1.2. Latin America
    8.1.3. Europe
    8.1.4. MENA
    8.1.5. Asia Pacific
    8.1.6. Sub-Saharan Africa
    8.1.7. Australasia
  8.2. Opportunity Analysis
Chapter 9. North America Intelligent Parking Assist Systems Market Forecast and Trend Analysis
  9.1. Regional Overview
  9.2. Pricing Analysis
  9.3. Key Trends in the Region
    9.3.1. Supply and Demand
  9.4. Demographic Structure
  9.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    9.5.1. Sub-Segment A
    9.5.2. Sub-Segment B
  9.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    9.6.1. Sub-Segment A
    9.6.2. Sub-Segment B
  9.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    9.7.1. Sub-Segment A
    9.7.2. Sub-Segment B
  9.8. By Country, 2024 - 2030, (US$ Mn and Units)
    9.8.1. U.S.
    9.8.2. Canada
    9.8.3. Rest of North America
  9.9. Opportunity Analysis
Chapter 10. Latin America Intelligent Parking Assist Systems Market Forecast and Trend Analysis
  10.1. Regional Overview
  10.2. Pricing Analysis
  10.3. Key Trends in the Region
    10.3.1. Supply and Demand
  10.4. Demographic Structure
  10.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    10.5.1. Sub-Segment A
    10.5.2. Sub-Segment B
  10.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    10.6.1. Sub-Segment A
    10.6.2. Sub-Segment B
  10.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    10.7.1. Sub-Segment A
    10.7.2. Sub-Segment B
  10.8. By Country, 2024 - 2030, (US$ Mn and Units)
    10.8.1. Brazil
    10.8.2. Argentina
    10.8.3. Rest of Latin America
  10.9. Opportunity Analysis
Chapter 11. Europe Intelligent Parking Assist Systems Market Forecast and Trend Analysis
  11.1. Regional Overview
  11.2. Pricing Analysis
  11.3. Key Trends in the Region
    11.3.1. Supply and Demand
  11.4. Demographic Structure
  11.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    11.5.1. Sub-Segment A
    11.5.2. Sub-Segment B
  11.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    11.6.1. Sub-Segment A
    11.6.2. Sub-Segment B
  11.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    11.7.1. Sub-Segment A
    11.7.2. Sub-Segment B
  11.8. By Country, 2024 - 2030, (US$ Mn and Units)
    11.8.1. UK
    11.8.2. Germany
    11.8.3. France
    11.8.4. Spain
    11.8.5. Rest of Europe
  11.9. Opportunity Analysis
Chapter 12. MENA Intelligent Parking Assist Systems Market Forecast and Trend Analysis
  12.1. Regional Overview
  12.2. Pricing Analysis
  12.3. Key Trends in the Region
    12.3.1. Supply and Demand
  12.4. Demographic Structure
  12.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    12.5.1. Sub-Segment A
    12.5.2. Sub-Segment B
  12.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    12.6.1. Sub-Segment A
    12.6.2. Sub-Segment B
  12.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    12.7.1. Sub-Segment A
    12.7.2. Sub-Segment B
  12.8. By Country, 2024 - 2030, (US$ Mn and Units)
    12.8.1. Egypt
    12.8.2. Algeria
    12.8.3. GCC
    12.8.4. Rest of MENA
  12.9. Opportunity Analysis
Chapter 13. Asia Pacific Intelligent Parking Assist Systems Market Forecast and Trend Analysis
  13.1. Regional Overview
  13.2. Pricing Analysis
  13.3. Key Trends in the Region
    13.3.1. Supply and Demand
  13.4. Demographic Structure
  13.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    13.5.1. Sub-Segment A
    13.5.2. Sub-Segment B
  13.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    13.6.1. Sub-Segment A
    13.6.2. Sub-Segment B
  13.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    13.7.1. Sub-Segment A
    13.7.2. Sub-Segment B
  13.8. By Country, 2024 - 2030, (US$ Mn and Units)
    13.8.1. India
    13.8.2. China
    13.8.3. Japan
    13.8.4. ASEAN
    13.8.5. Rest of Asia Pacific
  13.9. Opportunity Analysis
Chapter 14. Sub-Saharan Africa Intelligent Parking Assist Systems Market Forecast and Trend Analysis
  14.1. Regional Overview
  14.2. Pricing Analysis
  14.3. Key Trends in the Region
    14.3.1. Supply and Demand
  14.4. Demographic Structure
  14.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    14.5.1. Sub-Segment A
    14.5.2. Sub-Segment B
  14.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    14.6.1. Sub-Segment A
    14.6.2. Sub-Segment B
  14.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    14.7.1. Sub-Segment A
    14.7.2. Sub-Segment B
  14.8. By Country, 2024 - 2030, (US$ Mn and Units)
    14.8.1. Ethiopia
    14.8.2. Nigeria
    14.8.3. Rest of Sub-Saharan Africa
  14.9. Opportunity Analysis
Chapter 15. Australasia Intelligent Parking Assist Systems Market Forecast and Trend Analysis
  15.1. Regional Overview
  15.2. Pricing Analysis
  15.3. Key Trends in the Region
    15.3.1. Supply and Demand
  15.4. Demographic Structure
  15.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    15.5.1. Sub-Segment A
    15.5.2. Sub-Segment B
  15.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    15.6.1. Sub-Segment A
    15.6.2. Sub-Segment B
  15.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    15.7.1. Sub-Segment A
    15.7.2. Sub-Segment B
  15.8. By Country, 2024 - 2030, (US$ Mn and Units)
    15.8.1. Australia
    15.8.2. New Zealand
    15.8.3. Rest of Australasia
  15.9. Opportunity Analysis
Chapter 16. Competition Analysis
  16.1. Competitive Benchmarking
    16.1.1. Top Player’s Market Share
    16.1.2. Price and Product Comparison
  16.2. Company Profiles
    16.2.1. Company A
      16.2.1.1. Company Overview
      16.2.1.2. Segmental Revenue
      16.2.1.3. Product Portfolio
      16.2.1.4. Key Developments
      16.2.1.5. Strategic Outlook
    16.2.2. Company B
      16.2.2.1. Company Overview
      16.2.2.2. Segmental Revenue
      16.2.2.3. Product Portfolio
      16.2.2.4. Key Developments
      16.2.2.5. Strategic Outlook
    16.2.3. Company C
      16.2.3.1. Company Overview
      16.2.3.2. Segmental Revenue
      16.2.3.3. Product Portfolio
      16.2.3.4. Key Developments
      16.2.3.5. Strategic Outlook
    16.2.4. Company D
      16.2.4.1. Company Overview
      16.2.4.2. Segmental Revenue
      16.2.4.3. Product Portfolio
      16.2.4.4. Key Developments
      16.2.4.5. Strategic Outlook
    16.2.5. Company E
      16.2.5.1. Company Overview
      16.2.5.2. Segmental Revenue
      16.2.5.3. Product Portfolio
      16.2.5.4. Key Developments
      16.2.5.5. Strategic Outlook
    16.2.6. Company F
      16.2.6.1. Company Overview
      16.2.6.2. Segmental Revenue
      16.2.6.3. Product Portfolio
      16.2.6.4. Key Developments
      16.2.6.5. Strategic Outlook
    16.2.7. Company G
      16.2.7.1. Company Overview
      16.2.7.2. Segmental Revenue
      16.2.7.3. Product Portfolio
      16.2.7.4. Key Developments
      16.2.7.5. Strategic Outlook
    16.2.8. Company H
      16.2.8.1. Company Overview
      16.2.8.2. Segmental Revenue
      16.2.8.3. Product Portfolio
      16.2.8.4. Key Developments
      16.2.8.5. Strategic Outlook
    16.2.9. Company I
      16.2.9.1. Company Overview
      16.2.9.2. Segmental Revenue
      16.2.9.3. Product Portfolio
      16.2.9.4. Key Developments
      16.2.9.5. Strategic Outlook
    16.2.10. Company J
      16.2.10.1. Company Overview
      16.2.10.2. Segmental Revenue
      16.2.10.3. Product Portfolio
      16.2.10.4. Key Developments
      16.2.10.5. Strategic Outlook
Chapter 17. Go-To-Market Strategy

Research Methodology

We follow a robust research methodology to analyze the market in order to provide our clients with qualitative and quantitative analysis which has a very low or negligible deviance. Extensive secondary research supported by primary data collection methods help us to thoroughly understand and gauge the market. We incorporate both top-down and bottom-up approach for estimating the market. The below mentioned methods are then adopted to triangulate and validate the market.

Secondary data collection and interpretation

Secondary research includes sources such as published books, articles in journals, news media and published businesses, government and international body publications, and associations. Sources also include paid databases such as Hoovers, Thomson Reuters, Passport and others. Data derived through secondary sources is further validated through primary sources. The secondary sources also include major manufacturers mapped on the basis of revenues, product portfolios, and sales channels.

Primary data collection

Primary data collection methods include conducting interviews with industry experts and various stakeholders across the supply chain, such as raw material suppliers, manufacturers, product distributors and customers. The interviews are either telephonic or face-to-face, or even a combination of both. Prevailing trends in the industry are gathered by conducting surveys. Primary interviews also help us to understand the market drivers, restraints and opportunities, along with the challenges in the market. This method helps us in validating the data gathered through secondary sources, further triangulating the data and developing it through our statistical tools. We generally conduct interviews with -

  • CEOs, Directors, and VPs
  • Sales and Marketing Managers
  • Plant Heads and Manufacturing Department Heads
  • Product Specialists

Supply Side and Demand Side Data Collection

Supply side analysis is based on the data collected from the manufacturers and the product providers in terms of their segmental revenues. Secondary sources for this type of analysis include company annual reports and publications, associations and organisations, government publications and others.

Demand side analysis is based upon the consumer insights who are the end users of the particular product in question. They could be an individual user or an organisation. Such data is gathered through consumer surveys and focused group interviews.

Market Engineering

As a primary step, in order to develop the market numbers we follow a vigorous methodology that includes studying the parent market of the niche product and understanding the industry trends, acceptance among customers of the product, challenges, future growth, and others, followed by further breaking down the market under consideration into various segments and sub-markets. Additionally, in order to cross-validate the market, we also determine the top players in the market, along with their segmental revenues for the said market. Our secondary sources help us to validate the market share of the top players. Using both the qualitative and quantitative analysis of all the possible factors helps us determine the market numbers which are inclined towards accuracy.

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