Automotive & Transportation
Global Automated Parking System Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Automated Parking System Market, By Automation Level (Semi-automated, Fully-automated), System Type (Hardware, Software), End-User (Commercial, Residential, Mixed-use), Design Model (Hydraulic, Electro-mechanical), Platform Type (Palleted, Non-palleted), Parking Level (Less than Level 5, Level 5-Level 10, More than Level 15), System Structure (AGV system, Silo system, Tower system, Rail Guided Cart (RGC) system, Puzzle system, Shuttle system), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
The global Automated Parking System market size is valued to be USD 2.23 billion in 2023 and is expected to reach USD 7.51 billion by 2032, and it is expected to register a CAGR of 14.03% over the forecast period 2024-2032.
An Automated Parking device (APS), sometimes known as an automated parking facility (APF), is a mechanical device that reduces the amount of space and/or volume necessary to park cars. APS accomplishes this by employing a number of mechanical mechanisms to convey cars from the entry to an open parking place and then retrieving them as needed, all with little or no human participation.
The respective global report analyses market trends, consumer behaviour and industry dynamics to guide towards entry into new markets with ease. Also, it assists in tailoring market specific and related products and services to meet the needs, preferences, and expectations of target audience by delving into their psychology. The report also specializes with comprehensive and extensive competitive analysis which offers useful insights into competitor strengths, weaknesses, opportunities, and threats. The respective report offers exclusive insights into the potential impact of disruptive developments and technologies that are expected to completely transform corporate operations. The context includes tailor-made research solutions to create a stronger footprint in their particular industries thereby offering dedicated customized solutions according to the client needs which helps in addressing unique business challenges with more simplified and efficient decision-making solutions.
Market Dynamics
DRIVERS
- Demand for environmentally friendly and sustainable parking options
- Growing urbanization, a shortage of land for parking, an increase in the number of vehicles, a growing need for green and sustainable parking solutions, and government initiatives to create smart cities
RESTRAINTS
- High system complexity and quality control problem
- High capital investment
OPPORTUNITIES
- Smart cities development initiative
- Technological advancements
CHALLENGES
- The increasing scarcity of available free space will pose a challenge to metropolis parking capacity.
- The lack of regulation for monitoring the operation of these systems, as well as quality control issues
SEGMENTATION
MARKET SEGMENTATION
- Automation Level
- Semi-automated
- Fully-automated
- System Type
- Hardware
- Software
- End-User
- Commercial
- Residential
- Mixed-use
- Design Model
- Hydraulic
- Electro-mechanical
- Platform Type
- Palleted
- Non-palleted
- Parking Level
- Less than Level 5
- Level 5-Level 10
- More than Level 15
- System Structure
- AGV system
- Silo system
- Tower system
- Rail Guided Cart (RGC) system
- Puzzle system
- Shuttle system
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, segments, and key players as per the client requirements.
REGIONAL SEGMENTATION
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Skyline Parking AG
- Westfalia Parking
- Unitronics
- Klaus Multiparking GmbH
- Robotic Parking Systems, Inc.
- Amano Corporation
- Park Plus Inc.
- Wohr Parking System Pvt. Ltd.
- Parkmatic
- AutoMotion Parking Systems
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Automated Parking System Market, by Automation Level
- 3.2 Global Automated Parking System Market, by System Type
- 3.3 Global Automated Parking System Market, by End-User
- 3.4 Global Automated Parking System Market, by Design Model
- 3.5 Global Automated Parking System Market, by Platform Type
- 3.6 Global Automated Parking System Market, by Parking Level
- 3.7 Global Automated Parking System Market, by System Structure
- 3.8 Global Automated Parking System Market, by Geography
- 3.9 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Trend 1
- 5.1.2 Trend 2
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Demand for environmentally friendly and sustainable parking options
- 5.2.2 Growing urbanization, a shortage of land for parking, an increase in the number of vehicles, a growing need for green and sustainable parking solutions, and government initiatives to create smart cities
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 High system complexity and quality control problem
- 5.3.2 High capital investment
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Smart cities development initiative
- 5.4.2 Technological advancements
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 The increasing scarcity of available free space will pose a challenge to metropolis parking capacity.
- 5.5.2 The lack of regulation for monitoring the operation of these systems, as well as quality control issues
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL AUTOMATED PARKING SYSTEM MARKET, BY AUTOMATION LEVEL
- 6.1 Automation Level Summary
- 6.2 Market Attractive Index
- 6.3 Global Automated Parking System Market, by Automation Level (2019-2032)
- SECTION 7 - GLOBAL AUTOMATED PARKING SYSTEM MARKET, BY SYSTEM TYPE
- 7.1 System Type Summary
- 7.2 Market Attractive Index
- 7.3 Global Automated Parking System Market, by System Type (2019-2032)
- SECTION 8 - GLOBAL AUTOMATED PARKING SYSTEM MARKET, BY END-USER
- 8.1 End-User Summary
- 8.2 Market Attractive Index
- 8.3 Global Automated Parking System Market, by End-User (2019-2032)
- SECTION 9 - GLOBAL AUTOMATED PARKING SYSTEM MARKET, BY DESIGN MODEL
- 9.1 Design Model Summary
- 9.2 Market Attractive Index
- 9.3 Global Automated Parking System Market, by Design Model (2019-2032)
- SECTION 10 - GLOBAL AUTOMATED PARKING SYSTEM MARKET, BY PLATFORM TYPE
- 10.1 Platform Type Summary
- 10.2 Market Attractive Index
- 10.3 Global Automated Parking System Market, by Platform Type (2019-2032)
- SECTION 11 - GLOBAL AUTOMATED PARKING SYSTEM MARKET, BY PARKING LEVEL
- 11.1 Parking Level Summary
- 11.2 Market Attractive Index
- 11.3 Global Automated Parking System Market, by Parking Level (2019-2032)
- SECTION 12 - GLOBAL AUTOMATED PARKING SYSTEM MARKET, BY SYSTEM STRUCTURE
- 12.1 System Structure Summary
- 12.2 Market Attractive Index
- 12.3 Global Automated Parking System Market, by System Structure (2019-2032)
- SECTION 13 - GLOBAL AUTOMATED PARKING SYSTEM MARKET, BY GEOGRAPHY
- 13.1 Regional Summary
- 13.2 Market Attractive Index
- 13.3 Global Automated Parking System Market, by Geography (2019-2032)
- SECTION 14 - NORTH AMERICA AUTOMATED PARKING SYSTEM MARKET
- 14.1 North America Summary
- 14.2 Market Attractive Index
- 14.3 North America Automated Parking System Market, by Automation Level (2019-2032)
- 14.4 North America Automated Parking System Market, by System Type (2019-2032)
- 14.5 North America Automated Parking System Market, by End-User (2019-2032)
- 14.6 North America Automated Parking System Market, by Design Model (2019-2032)
- 14.7 North America Automated Parking System Market, by Platform Type (2019-2032)
- 14.8 North America Automated Parking System Market, by Parking Level (2019-2032)
- 14.9 North America Automated Parking System Market, by System Structure (2019-2032)
- 14.10 North America Automated Parking System Market, by Country (2019-2032)
- 14.10.1 U.S.
- 14.10.2 Canada
- 14.10.3 Mexico
- 14.10.4 Rest of North America
- SECTION 15 - EUROPE AUTOMATED PARKING SYSTEM MARKET
- 15.1 Europe Summary
- 15.2 Market Attractive Index
- 15.3 Europe Automated Parking System Market, by Automation Level (2019-2032)
- 15.4 Europe Automated Parking System Market, by System Type (2019-2032)
- 15.5 Europe Automated Parking System Market, by End-User (2019-2032)
- 15.6 Europe Automated Parking System Market, by Design Model (2019-2032)
- 15.7 Europe Automated Parking System Market, by Platform Type (2019-2032)
- 15.8 Europe Automated Parking System Market, by Parking Level (2019-2032)
- 15.9 Europe Automated Parking System Market, by System Structure (2019-2032)
- 15.10 Europe Automated Parking System Market, by Country (2019-2032)
- 15.10.1 Germany
- 15.10.2 U.K.
- 15.10.3 France
- 15.10.4 Italy
- 15.10.5 Spain
- 15.10.6 Russia
- 15.10.7 The Netherlands
- 15.10.8 Belgium
- 15.10.9 Turkey
- 15.10.10 Rest of Europe
- SECTION 16 - ASIA-PACIFIC AUTOMATED PARKING SYSTEM MARKET
- 16.1 Asia-Pacific Summary
- 16.2 Market Attractive Index
- 16.3 Asia-Pacific Automated Parking System Market, by Automation Level (2019-2032)
- 16.4 Asia-Pacific Automated Parking System Market, by System Type (2019-2032)
- 16.5 Asia-Pacific Automated Parking System Market, by End-User (2019-2032)
- 16.6 Asia-Pacific Automated Parking System Market, by Design Model (2019-2032)
- 16.7 Asia-Pacific Automated Parking System Market, by Platform Type (2019-2032)
- 16.8 Asia-Pacific Automated Parking System Market, by Parking Level (2019-2032)
- 16.9 Asia-Pacific Automated Parking System Market, by System Structure (2019-2032)
- 16.10 Asia-Pacific Automated Parking System Market, by Country (2019-2032)
- 16.10.1 China
- 16.10.2 India
- 16.10.3 Japan
- 16.10.4 South Korea
- 16.10.5 Singapore
- 16.10.6 Malaysia
- 16.10.7 Australia
- 16.10.8 Thailand
- 16.10.9 Philippines
- 16.10.10 Rest of Asia-Pacific
- SECTION 17 - SOUTH AMERICA AUTOMATED PARKING SYSTEM MARKET
- 17.1 South America Summary
- 17.2 Market Attractive Index
- 17.3 South America Automated Parking System Market, by Automation Level (2019-2032)
- 17.4 South America Automated Parking System Market, by System Type (2019-2032)
- 17.5 South America Automated Parking System Market, by End-User (2019-2032)
- 17.6 South America Automated Parking System Market, by Design Model (2019-2032)
- 17.7 South America Automated Parking System Market, by Platform Type (2019-2032)
- 17.8 South America Automated Parking System Market, by Parking Level (2019-2032)
- 17.9 South America Automated Parking System Market, by System Structure (2019-2032)
- 17.10 South America Automated Parking System Market, by Country (2019-2032)
- 17.10.1 Brazil
- 17.10.2 Argentina
- 17.10.3 Chile
- 17.10.4 Colombia
- 17.10.5 Rest of South America
- SECTION 18 - MIDDLE EAST AND AFRICA AUTOMATED PARKING SYSTEM MARKET
- 18.1 Middle East and Africa Summary
- 18.2 Market Attractive Index
- 18.3 Middle East and Africa Automated Parking System Market, by Automation Level (2019-2032)
- 18.4 Middle East and Africa Automated Parking System Market, by System Type (2019-2032)
- 18.5 Middle East and Africa Automated Parking System Market, by End-User (2019-2032)
- 18.6 Middle East and Africa Automated Parking System Market, by Design Model (2019-2032)
- 18.7 Middle East and Africa Automated Parking System Market, by Platform Type (2019-2032)
- 18.8 Middle East and Africa Automated Parking System Market, by Parking Level (2019-2032)
- 18.9 Middle East and Africa Automated Parking System Market, by System Structure (2019-2032)
- 18.10 Middle East and Africa Automated Parking System Market, by Country (2019-2032)
- 18.10.1 Kingdom of Saudi Arabia
- 18.10.2 South Africa
- 18.10.3 U.A.E.
- 18.10.4 Egypt
- 18.10.5 Rest of Middle East and Africa
- SECTION 19 - COMPANY SHARE ANALYSIS
- 19.1 Global Automated Parking System Market, Company Share Analysis
- 19.2 North America Automated Parking System Market, Company Share Analysis
- 19.3 Europe Automated Parking System Market, Company Share Analysis
- 19.4 Asia-Pacific Automated Parking System Market, Company Share Analysis
- SECTION 20 - COMPANY PROFILES
- 20.1 Skyline Parking AG
- 20.1.1 Company Snapshot
- 20.1.2 Financial Overview
- 20.1.3 Product Portfolio
- 20.1.4 Recent Developments
- 20.2 Westfalia Parking
- 20.2.1 Company Snapshot
- 20.2.2 Financial Overview
- 20.2.3 Product Portfolio
- 20.2.4 Recent Developments
- 20.3 Unitronics
- 20.3.1 Company Snapshot
- 20.3.2 Financial Overview
- 20.3.3 Product Portfolio
- 20.3.4 Recent Developments
- 20.4 Klaus Multiparking GmbH
- 20.4.1 Company Snapshot
- 20.4.2 Financial Overview
- 20.4.3 Product Portfolio
- 20.4.4 Recent Developments
- 20.5 Robotic Parking Systems, Inc.
- 20.5.1 Company Snapshot
- 20.5.2 Financial Overview
- 20.5.3 Product Portfolio
- 20.5.4 Recent Developments
- 20.6 Amano Corporation
- 20.6.1 Company Snapshot
- 20.6.2 Financial Overview
- 20.6.3 Product Portfolio
- 20.6.4 Recent Developments
- 20.7 Park Plus Inc.
- 20.7.1 Company Snapshot
- 20.7.2 Financial Overview
- 20.7.3 Product Portfolio
- 20.7.4 Recent Developments
- 20.8 Wohr Parking System Pvt. Ltd.
- 20.8.1 Company Snapshot
- 20.8.2 Financial Overview
- 20.8.3 Product Portfolio
- 20.8.4 Recent Developments
- 20.9 Parkmatic
- 20.9.1 Company Snapshot
- 20.9.2 Financial Overview
- 20.9.3 Product Portfolio
- 20.9.4 Recent Developments
- 20.10 AutoMotion Parking Systems
- 20.10.1 Company Snapshot
- 20.10.2 Financial Overview
- 20.10.3 Product Portfolio
- 20.10.4 Recent Developments
- SECTION 21 - RELATED REPORTS
- SECTION 22 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.