Automated Parking System Market
Report ID: SQMIG20I2380
Report ID: SQMIG20I2380
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Report ID:
SQMIG20I2380 |
Region:
Global |
Published Date: May, 2025
Pages:
184
|Tables:
89
|Figures:
71
Global Automated Parking System Market size was valued at USD 3.26 Billion in 2024 and is poised to grow from USD 3.93 Billion in 2025 to USD 17.72 Billion by 2033, growing at a CAGR of 20.7% during the forecast period (2026–2033).
One of the main drivers of the global automated parking system market is the rapid growth in urban populations. As the population expands, land for conventional parking facilities becomes scarcer, resulting in escalating real estate prices. This has seen urban developers and city planners opt for automated parking systems as a means of maximizing the efficiency of parking and using limited space. In contrast to traditional parking lots, which demand significant surface space and maneuvering areas, automated parking systems rely on vertical stacking and robotic vehicle retrieval systems to cut down spatial needs by a substantial margin. This enhanced space utilization enables improved land use in high-density cityscapes, which directly drives the need for such systems. Consequently, real estate developers, municipalities, and commercial property owners are investing in automated parking technologies to deal with congestion and maximize land use, ultimately driving market growth.
A crucial factor influencing the success and adoption of automated parking systems is the integration of artificial intelligence (AI) and the Internet of Things (IoT). AI-driven algorithms facilitate real-time parking space assignment, vehicle tracking, and predictive maintenance, increasing overall system efficiency. IoT sensors gather and process data on vehicle traffic, occupancy levels, and system performance, minimizing downtime and increasing operational reliability. This technology leads to lower waiting times, improved user experience, and lower operating costs. Overall, incorporating AI into IoT systems both increases the efficiency of automated parking and attracts the interest of developers and city planners in standardizing it across smart city projects.
What role does AI-Driven Computer Vision Play in Automated Parking Systems?
AI is transforming the world automated parking system market by improving operational efficiency and user experience. AI-based computer vision and machine learning allow real-time detection of parking spaces, tracking of vehicles, and autonomous parking, easing congestion and human mistakes. Predictive analytics maximizes space allocation and reduces retrieval time, enhancing system reliability. AI-based chatbots and mobile apps improve customer engagement, simplifying payments and bookings. One such turning point is Tesla's Smart Summon feature, supporting AI-enabled self-parking, illustrating the increasing application of AI in parking automation. As technology improves, parking systems become more intelligent, efficient, and central to smart city planning globally.
In August 2024, Veer Savarkar International Airport in India opened an Advanced Automated Parking System (AAPS) to improve passengers' parking experiences. The latest system includes sensor-based boom barriers for automatic car management, CCTV monitoring for better security, and automatic ticket machines to automate the ticketing process. Aimed at reducing manual intervention and making parking charges transparent, the AAPS also includes timestamping at strategic points for better accuracy. This trend highlights the increasing uptake of automated parking systems in congested locations to enhance efficiency and customer satisfaction.
How are Startups Leveraging AI, IoT, and Robotics in Automated Parking Solutions?
The worldwide automatic parking system industry is growing tremendously due to high urbanization rates, growing numbers of vehicle possessions, and requirements for space-saving. Start-ups are using artificial intelligence, internet of things, and robotics in designing intelligent car parks that lead to improved performance and lessened traffic congestion. In cities, the development of connected and sustainable smart cities is catalyzed by innovations such as AI-based parking guidance and surveillance, autonomous valet systems, and digital payment mechanisms.
Founded in 2019, VEStellaLab, a startup in South Korea, specializes in AI-based smart parking solutions. The V2X-Smart Parking System applies Artificial Intelligence of Things (AIoT) to offer real-time information to drivers about vacant parking spaces and the best routes. Through the analysis of video streams and merging different sources of data, the system provides a digital map with empty spaces, directing drivers in an efficient manner to their destinations. This saves time spent searching, reduces traffic jam, and provides an overall improved parking experience. VEStellaLab has also created a non-GPS navigation solution that operates well in "GPS denied" environments, e.g., underground parking garages. This technology provides uninterrupted navigation and parking guidance, even in areas where the satellite signal is weak or missing. Utilizing AI and sensor fusion technologies, the system preserves precise vehicle location, resulting in smooth parking experience and enabling autonomous driving capability development.
Established in 2016, Steer is a Maryland-based autonomous vehicle technology company focusing on automated parking solutions. The firm seeks to reduce urban traffic and optimize parking through automation. Steer's Automated Valet Parking Ecosystem integrates low-speed vehicle automation with supervisory parking management. Through the retrofitting of vehicles, the system allows cars to park themselves in parking facilities with less human interaction. This technology is helping optimize space, streamline parking operations, and improve user convenience. Steer open-sourced its valet parking APIs to encourage interoperability between OEMs, parking management companies and digital curb management systems with an initiative that encourages collaborations, speeds the adoption of automated parking technologies, and helps build solutions standardized across the industry.
Established in 2017, Metropolis is a Santa Monica startup that deals with AI-driven parking solutions. Metropolis aims at revolutionizing the conventional parking stations into dynamic mobility centers using technology. Metropolis uses a computer vision platform that is driven by artificial intelligence to facilitate checkout-free payment at parking stations. Upon registering their vehicles on the Metropolis app, customers can enter and exit without the need for manual payment processes, making the experience more convenient and saving time. In October 2023, Metropolis made a move to acquire SP Plus, the biggest parking network in North America, for $1.5 billion. The strategic acquisition enabled Metropolis to expand its technology at an accelerated pace to 50 million customers in 4,000 locations. Merging SP Plus's vast network with Metropolis's AI-based platform is the perfect example of a milestone innovation in the automated parking sector, paving the way for more streamlined and user-friendly parking systems.
Market snapshot - 2026-2033
Global Market Size
USD 2.7 billion
Largest Segment
Hardware
Fastest Growth
Software
Growth Rate
20.7% CAGR
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Global Automated Parking System Market is segmented by Automation Level, System Type, End-User, Design Model, Platform Type, Parking Level, Structure Type and region. Based on Automation Level, the market is segmented into Semi-automated and Fully-automated. Based on System Type, the market is segmented into Hardware and Software. Based on End-User, the market is segmented into Commercial, Residential and Mixed-use. Based on Design Model, the market is segmented into Hydraulic and Electro-mechanical. Based on Platform Type, the market is segmented into Palleted and Non-palleted. Based on Parking Level, the market is segmented into Less than Level 5, Level 5-Level 10 and More than Level 15. Based on Structure Type, the market is segmented into AGV system, Silo system, Tower system, Rail Guided Cart (RGC) system, Puzzle system and Shuttle system. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Hardware segment is the driving force of the global automated parking system market, given its critical function of making automation, precision, and efficiency possible. Intelligent sensors, cameras, robotic arms, and RFID-based access control systems form part of intelligent parking solutions, enabling smooth vehicle detection, space maximization, and self-guided navigation. Widespread deployment of AI-powered hardware like LiDAR and ultrasonic sensors improves parking operations' real-time decision-making. In addition, the growing need for multi-level parking facilities and automated valet services also further fuels hardware innovation. As urban areas adopt smart infrastructure, the prevalence of hardware components prevails, pushing the development of completely automated and smart parking environments.
Software component is the leading and fastest-growing category in the international automated parking system market driven by developments in AI, cloud technology, and integration of IoT. Intelligent parking management platforms provide improved space management, facilitate real-time monitoring, and improved customer experience through mobile apps, prediction models, and cashless payments, which boost accelerated adoption rates across cities.
The tower system design holds sway over the international automated parking system market with its excellent space efficiency, suitable for dense urban environments with restricted land availability. Such vertical parking spaces apply sophisticated robots and AI-controlled mechanisms to store cars vertically, minimizing footprint with maximum capacity. Advanced technologies like high-speed lifts, turntables, and automated return systems optimize user experience and operational efficiency. With rising urbanization and expanding car ownership, cities are implementing tower parking systems to address congestion and land scarcity. The combination with IoT and real-time monitoring also enhances performance, providing smooth, safe, and energy-efficient parking functions in new smart cities.
Puzzle system structure is the most rapidly growing segment of the global market for automated parking systems because of its modular architecture, affordability, and adaptability. Its flexibility to optimize the parking capacity within limited urban space and AI-aided automation for smooth retrieval of vehicles at a fast rate makes it highly desirable for housing and commercial development.
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North America is a prominent market for the global automated parking system market, fueled by urbanization, high vehicle ownership rates, and a robust emphasis on smart city projects. The U.S. is at the forefront of adoption, bringing AI, IoT, and robotics together to ensure parking efficiency. Growing demand for green infrastructure and congestion management propels growth. Regulations by the government in favor of green urban planning and technological developments in multi-level and automated valet parking systems drive market growth further across metropolitan regions.
The U.S. leads North America's automated parking system industry with its heavy investment in smart infrastructure, urban congestion, and heavy vehicle density. New York and Los Angeles cities are introducing AI-based parking solutions to make optimal space use. The increasing proliferation of electric vehicles (EVs) also expedites the infusion of automated parking with charging points for EVs. The government policies promoting sustainable urban mobility also propel autonomous parking and robotic valet innovations.
Canada’s automated parking system market is growing due to urban expansion, increasing vehicle ownership, and smart city initiatives. Cities like Toronto and Vancouver are adopting automated parking to tackle space constraints and reduce congestion. Sustainability-focused developments integrate automated parking with energy-efficient infrastructure. The demand for mixed-use automated parking in residential and commercial spaces is rising, driven by technological advancements in IoT-based parking management and government efforts to improve urban mobility solutions.
Europe is a prominent market for automated parking systems, spurred by rigorous urban planning regulations, high vehicle concentrations, and sophisticated smart city developments. Germany, the UK, and France are developing AI-driven and robotic parking to maximize space and minimize congestion. Demand for environmentally friendly, space-saving infrastructure drives adoption, especially in concentrated cities.
Germany is the front runner of Europe's automated parking system market due to its robust auto sector and leading engineering skills. Berlin and Munich are implementing AI-driven parking technologies to maximize space and minimize emissions. Growth of smart mobility policies and sustainability-led infrastructure accelerates the demand for robotic and tower parking systems. The push given by governments with incentives for EVs to improve their uptake drives the implementation of automated parking systems combined with EV charging points.
The UK is witnessing high growth in automatic parking systems, especially in cities such as London and Manchester, where traffic congestion and space issues are critical. The nation's initiative towards smart city projects and green urban planning promotes the implementation of robotic and automated valet parking systems. Investments in AI, IoT-based parking management, and electric vehicle infrastructure further boost market expansion, making automated parking an essential component of future urban development.
Asia-Pacific is experiencing rapid growth in the global automated parking system market due to increasing urbanization, rising vehicle ownership, and smart city initiatives. China, Japan, and South Korea are at the forefront of adoption, combining AI, IoT, and robotics to optimize parking efficiency. Government spending on smart infrastructure and sustainability fuels demand for space-efficient solutions such as tower and puzzle systems. Furthermore, increasing e-mobility trends and EV charging integration also boost market growth throughout the region.
Japan is the leader in automated parking systems due to high urbanization, vehicle ownership, and robotics. Tower and puzzle parking systems powered by AI are being used in Tokyo and Osaka cities to maximize space. The smart mobility and sustainability push by the government fuels uptake. Japan's top automotive sector also backs innovation in autonomous valet parking and EV-friendly parking solutions, promoting convenience and efficiency in residential and commercial areas.
South Korea is at the forefront of smart parking solutions, integrating AI, IoT, and robotics into urban mobility infrastructure. Cities such as Seoul are utilizing high-density automated car parking facilities to address congestion. Smart city initiatives sponsored by governments help foster advanced parking management systems. Furthermore, South Korea's robust tech ecosystem fuels innovation in autonomous parking with top industry players creating AI-based vehicle recognition and robotic valet systems, ensuring optimal utilization of space in cities.
Singapore's automation parking system market is expanding based on space limitation and smart city policy. Efficient use of land is the drive provided by the government that stimulates high-rise tower and puzzle parking adoption. Real-time space management and AI-powered parking guidance promote mobility in urban areas. Furthermore, Singapore encourages the integration of EV charging infrastructure into automated parking systems to provide seamless solutions to the ever-increasing electric vehicle market in the nation.
Automated parking systems are receiving increasing acceptance in Indonesia, driven by the rapid urbanization and traffic congestion in cities like Jakarta, over the other markets. Commercial districts and mixed-use developments are adopting smart parking solutions to enhance efficiency. Government-driven smart city projects favor AI-based parking management. The growth in real estate and retail segments is also fuelling demand for automated parking, especially puzzle and stacker systems, to improve land use in high-density city centers.
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Growing Vehicle Ownership and Traffic Congestion
Government Initiatives for Smart Infrastructure
Complexity in Retrofitting Existing Infrastructure
Lack of Awareness and Skilled Workforce
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The global automated parking system market is highly competitive, with companies focusing on innovation, strategic partnerships, and smart technology integration. Market leaders are SKIDATA, Westfalia Parking, Robotic Parking Systems, Klaus Multiparking, Parkmatic, and Wohr Parking Systems. SKIDATA prioritizes cloud-based parking solutions to enable smooth payment and access control. Westfalia Parking concentrates on high-density automated storage and retrieval systems for maximizing space. Robotic Parking Systems excels in AI-driven robotic valet technology for efficient urban parking. Firms are investing in EV-compatible infrastructure, IoT, and AI to improve the user experience and increase their market reach in smart cities across the globe.
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, the global automated parking system market is experiencing rapid growth, driven by urbanization, AI, IoT, and robotics. While cities expand and space becomes scarce, automated parking provides the space-saving alternative to conventional parking. AI-based technologies like computer vision and predictive analytics maximize system efficiency, minimizing traffic congestion and maximizing user satisfaction.
Startups and major companies alike are leveraging smart technologies to develop seamless parking solutions, integrating automation, real-time data analytics, and digital payment systems. Government initiatives promoting sustainable infrastructure and smart city projects further accelerate market adoption. As demand for urban mobility solutions rises, automated parking systems will play a crucial role in shaping the future of efficient, technology-driven urban transportation worldwide.
| Report Metric | Details |
|---|---|
| Market size value in 2024 | USD 3.26 Billion |
| Market size value in 2033 | USD 17.72 Billion |
| Growth Rate | 20.7% |
| Base year | 2024 |
| Forecast period | 2026-2033 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Automated Parking System Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Automated Parking System Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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