The Automated parking system (APS) was valued at USD 1.21 billion in 2018 and is projected to witness a growth of 12.4% of CAGR during the forecast period (from 2018 – 2026). The major drivers of the growths are – Increasing number of vehicles, lesser land for parking, growing demand for green & sustainable parking solutions, strong demand for consumer comfort and convenience, increasing demand for high-rise building, and smart cities initiatives from the government.
An automated parking system (APS) is a mechanical system designed to optimise the area or volume required for parking vehicles. Like a multi-story parking space, an automated parking system (APS) provides parking for vehicles on multiple levels stacked vertically to maximize the available number of parking spaces while minimizing area usage. The automated parking system (APS), utilizes a mechanical system to transport vehicles to and from parking spaces in order to reduce space wasted in a multi-story parking. While a multi-story parking lot is similar to multiple parking lots stacked vertically, an automated parking system (APS) is more similar to an automated storage and retrieval system for cars.
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Increasing urbanization is impacting positively the automated parking system. The demand for premium residential buildings has also increased over the past few years. According to Christie’s International Real Estate report, the growth in luxury residential sales was 11% in 2017 and demand for automated parking system is high in luxury residential buildings. Further, according to the research conducted by INRIX (US based company provides location-based data and analytics), American citizen spend an average of 17 hours per year searching for parking space, resulting in a cost of ~$350 per driver in wasted time, fuel and emissions. Overpaying for parking costs American citizen more than $20 billion a year or ~$100 per driver. This is likely to fuel the demand of the automated parking system
The European regional is equally expected to present significant growth opportunities for the automated parking system (APS), particularly owing to the favourable government initiatives being pursued by the EU in promoting the deployment of smart parking systems as part of the efforts to reduce the pollution and ensure a sustainable environment.
Further key findings from the report suggest-
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For the purpose of this study, Reports and Data have segmented the industry by automation level, by structure, by type, by design, by system, by platform, by end user, by parking level and by Region:
Automated Parking System (APS) by Automation Level (Revenue, USD Million; 2016–2026)
Automated Parking System (APS) by Structure (Revenue, USD Million; 2016–2026)
Automated Parking System (APS) by Type (Revenue, USD Million; 2016–2026)
Automated Parking System (APS) by Design (Revenue, USD Million; 2016–2026)
Automated Parking System (APS) by System (Revenue, USD Million; 2016–2026)
Automated Parking System (APS) by Platform (Revenue, USD Million; 2016–2026)
Automated Parking System (APS) by End User (Revenue, USD Million; 2016–2026)
Automated Parking System (APS) by Parking Level (Revenue, USD Million; 2016–2026)
Automated Parking System (APS) by Region (Revenue, USD Million; 2016–2026)
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Table of Content:
Chapter 1. Automated Parking System (APS) Segmentation & Impact Analysis
1.1. Automated Parking System (APS) Segmentation Analysis
1.2. Automated Parking System (APS) Value Chain Analysis, 2016-2026
1.3. Regulatory Framework
1.4. Automated Parking System (APS) Impact Analysis
1.4.1. Driver Analysis
1.4.1.1. Increasing number of vehicles
1.4.1.2. Lesser land for parking
1.4.1.3. Smart city initiatives
1.4.1.4. Increasing demand for consumer comfort and convenience
1.4.2. Restraint Analysis
1.4.2.1. High installation cost
1.5. Key Opportunities Prioritized
1.6. Automated Parking System (APS) Pricing Analysis
1.7. Industry Analysis – Porter’s
1.8. Automated Parking System (APS) PESTEL Analysis
Chapter 2. Automated Parking System (APS) By Automation level Insights & Trends
2.1. Automated Parking System (APS) Automation Level Type Dynamics & Share, 2018 & 2026
2.2. Fully-automated
2.2.1. Estimates And Forecast, 2016 – 2026 (USD Million)
2.2.2. Estimates And Forecast, By Region, 2016 – 2026 (USD Million)
2.3. Semi-automated
2.3.1. Estimates And Forecast, 2016 – 2026 (USD Million)
2.3.2. Estimates And Forecast, By Region, 2016 – 2026 (USD Million)
Chapter 3. Automated Parking System (APS) By Type Insights & Trends
3.1. Automated Parking System (APS) Structure Dynamics & Share, 2018 & 2026
3.2. AGV System
3.2.1. Estimates And Forecast, 2016 – 2026 (USD Million)
3.2.2. Estimates And Forecast, By Region, 2016 – 2026 (USD Million)
3.3. SILO System
3.3.1. Estimates And Forecast, 2016 – 2026 (USD Million)
3.3.2. Estimates And Forecast, By Region, 2016 – 2026 (USD Million)
3.4. Tower System
3.4.1. Estimates And Forecast, 2016 – 2026 (USD Million)
3.4.2. Estimates And Forecast, By Region, 2016 – 2026 (USD Million)
3.5. Rail Guided Catt (RGC)
3.5.1. Estimates And Forecast, 2016 – 2026 (USD Million)
3.5.2. Estimates And Forecast, By Region, 2016 – 2026 (USD Million)
3.6. Puzzle System
3.6.1. Estimates And Forecast, 2016 – 2026 (USD Million)
3.6.2. Estimates And Forecast, By Region, 2016 – 2026 (USD Million)
3.7. Shuttle System
3.7.1. Estimates And Forecast, 2016 – 2026 (USD Million)
3.7.2. Estimates And Forecast, By Region, 2016 – 2026 (USD Million)…
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