Edit Content
Bizwit-Logo-Final

Bizwit Research & Consulting LLP is a global provider of business intelligence & consulting services. We have a strong primary base of key industry leaders along with the chain of industry analysts to analyze the market trends and its future impact in order to estimates and forecast different business segments and markets. 

Global Automated Parking Management Systems Market to reach USD 4.31 billion by the end of 2029.

Global Automated Parking Management Systems Market Size study & Forecast, by Component (Hardware, Software), by Platform Type (Palleted, Non-palleted), by Automation Level (Fully Automated, Semi-automated), by End-use (Residential, Commercial, Mixed-use) and Regional Analysis, 2022-2029

Product Code: ALTAE-39579118
Publish Date: 2-05-2023
Page: 200

Global Automated Parking Management Systems Market is valued approximately USD 1.4 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 15.1 % over the forecast period 2022-2029. Automated Parking Management System comprised of hardware and software components that assist in effective management of vehicle parking. An automated parking uses mechanical system to transport vehicles to and from parking spaces in a multi-story parking area. Vehicles are stored in multiple parking lots, stacked vertically in a multi-story parking building or area. In addition, automated parking management systems can be either fully automated or semi-automated. Fully automated parking systems operate like robot valet parking, which in turn eliminates the need for parking attendants. Semi-automated parking systems require few actions by the attendant or the driver. The increasing demand for smart parking solutions and growing urbanization across developing & developed regions are key factors driving the market growth.

The increasing demand for smart parking solutions is contributing towards the growth of the Global Automated Parking Management Systems market. For instance – according to Statista – in 2018, the global smart parking market was estimated at USD 1.8 billion, and the market is projected to grow to USD 3.8 billion by 2023, at a CAGR of 14 percent. Also, rising sales of personal vehicles globally and growing advancements in smart parking technology would create lucrative growth prospectus for the market over the forecast period. However, the high initial & maintenance cost of Automated Parking Management Systems stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Automated Parking Management Systems Market study includes Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America dominated the market in terms of revenue, owing to the dominance of leading market players and rising urbanization coupled with limited parking places, traffic jams in the region. Whereas Asia Pacific is expected to grow with a highest CAGR during the forecast period, owing to factors such as rising problem parking space and overcrowding in cities as well as increasing penetration of leading market players in the region.

Major market player included in this report are:
Amano Corporation
FATA Automation
Fehr Lagerlogistik AG (Skyline Parking)
Flowbird
IBM Corporation
Klaus Multiparking GmbH
Robotic Parking Systems, Inc.
Siemens AG
Skidata GmbH
Streetline, Inc.

Recent Developments in the Market:
Ø In December 2020, Italy based FAAC company a leader in industrial automation solutions, acquired TIBA Parking Systems for a transaction value of USD 135 million. With this acquisition, FAAC is expected to strengthen its position in the parking systems segment and achieve leadership.

Global Automated Parking Management Systems Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Platform Type, Automation Level, End Use, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component
Hardware
Software
By Platform Type
Palleted
Non-palleted
By Automation Level
Fully Automated
Semi-automated
By End-use
Residential
Commercial
Mixed-use

By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
RoLA
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Automated Parking Management Systems Market, by Region, 2019-2029 (USD Billion)
1.2.2. Automated Parking Management Systems Market, by Component, 2019-2029 (USD Billion)
1.2.3. Automated Parking Management Systems Market, by Platform Type, 2019-2029 (USD Billion)
1.2.4. Automated Parking Management Systems Market, by Automation Level, 2019-2029 (USD Billion)
1.2.5. Automated Parking Management Systems Market, by End Use, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Automated Parking Management Systems Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Automated Parking Management Systems Market Dynamics
3.1. Automated Parking Management Systems Market Impact Analysis (2019-2029)
3.1.1. Market Drivers
3.1.1.1. Increasing demand for smart parking solutions
3.1.1.2. Growing urbanization across developing & developed regions
3.1.2. Market Challenges
3.1.2.1. High initial & maintenance cost of Automated Parking Management Systems
3.1.3. Market Opportunities
3.1.3.1. Rising sales of personal vehicles globally.
3.1.3.2. Growing advancements in smart parking technology.
Chapter 4. Global Automated Parking Management Systems Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Automated Parking Management Systems Market, by Component
6.1. Market Snapshot
6.2. Global Automated Parking Management Systems Market by Component, Performance – Potential Analysis
6.3. Global Automated Parking Management Systems Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
6.4. Automated Parking Management Systems Market, Sub Segment Analysis
6.4.1. Hardware
6.4.2. Software
Chapter 7. Global Automated Parking Management Systems Market, by Platform Type
7.1. Market Snapshot
7.2. Global Automated Parking Management Systems Market by Platform Type, Performance – Potential Analysis
7.3. Global Automated Parking Management Systems Market Estimates & Forecasts by Platform Type 2019-2029 (USD Billion)
7.4. Automated Parking Management Systems Market, Sub Segment Analysis
7.4.1. Palleted
7.4.2. Non-palleted
Chapter 8. Global Automated Parking Management Systems Market, by Automation Level
8.1. Market Snapshot
8.2. Global Automated Parking Management Systems Market by Automation Level, Performance – Potential Analysis
8.3. Global Automated Parking Management Systems Market Estimates & Forecasts by Automation Level 2019-2029 (USD Billion)
8.4. Automated Parking Management Systems Market, Sub Segment Analysis
8.4.1. Fully Automated
8.4.2. Semi-automated
Chapter 9. Global Automated Parking Management Systems Market, by End Use
9.1. Market Snapshot
9.2. Global Automated Parking Management Systems Market by End Use, Performance – Potential Analysis
9.3. Global Automated Parking Management Systems Market Estimates & Forecasts by End Use 2019-2029 (USD Billion)
9.4. Automated Parking Management Systems Market, Sub Segment Analysis
9.4.1. Residential
9.4.2. Commercial
9.4.3. Mixed-use
Chapter 10. Global Automated Parking Management Systems Market, Regional Analysis
10.1. Automated Parking Management Systems Market, Regional Market Snapshot
10.2. North America Automated Parking Management Systems Market
10.2.1. U.S. Automated Parking Management Systems Market
10.2.1.1. Component breakdown estimates & forecasts, 2019-2029
10.2.1.2. Platform Type breakdown estimates & forecasts, 2019-2029
10.2.1.3. Automation Level breakdown estimates & forecasts, 2019-2029
10.2.1.4. End Use breakdown estimates & forecasts, 2019-2029
10.2.2. Canada Automated Parking Management Systems Market
10.3. Europe Automated Parking Management Systems Market Snapshot
10.3.1. U.K. Automated Parking Management Systems Market
10.3.2. Germany Automated Parking Management Systems Market
10.3.3. France Automated Parking Management Systems Market
10.3.4. Spain Automated Parking Management Systems Market
10.3.5. Italy Automated Parking Management Systems Market
10.3.6. Rest of Europe Automated Parking Management Systems Market
10.4. Asia-Pacific Automated Parking Management Systems Market Snapshot
10.4.1. China Automated Parking Management Systems Market
10.4.2. India Automated Parking Management Systems Market
10.4.3. Japan Automated Parking Management Systems Market
10.4.4. Australia Automated Parking Management Systems Market
10.4.5. South Korea Automated Parking Management Systems Market
10.4.6. Rest of Asia Pacific Automated Parking Management Systems Market
10.5. Latin America Automated Parking Management Systems Market Snapshot
10.5.1. Brazil Automated Parking Management Systems Market
10.5.2. Mexico Automated Parking Management Systems Market
10.5.3. Rest of Latin America Automated Parking Management Systems Market
10.6. Rest of The World Automated Parking Management Systems Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Amano Corporation
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. FATA Automation
11.2.3. Fehr Lagerlogistik AG (Skyline Parking)
11.2.4. Flowbird
11.2.5. IBM Corporation
11.2.6. Klaus Multiparking GmbH
11.2.7. Robotic Parking Systems, Inc.
11.2.8. Siemens AG
11.2.9. Skidata GmbH
11.2.10. Streetline, Inc.
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

Need Assistance

Contact Person -
Krishant Mennon
Call us @
+ 91 99931 15879
Email: sales@bizwitresearch.com

Checkout

Why Choose Us?

Quality over Quantity

Backed by 60+ paid data sources our reports deliver crisp insights with no compromise quality.

Analyst Support

24x7 Chat Support plus
free analyst hours with every purchase

Flawless Methodology

Our 360-degree approach of market study, our research methods leave stones unturned.

Enquiry Now