Automated Parking System (APS) Market
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Historical Period: 2019-2024
Forecast Period: 2025-2033
Report Code :
CAGR: 7.55%
Last Updated : September 20, 2025
The global Automated Parking System (APS) market was valued at approximately USD 2.39 billion in 2024 and is projected to reach USD 7.09 billion by 2034, growing at a CAGR of 11.5% during the forecast period (2025–2033). Automated Parking System solutions utilize advanced robotics, sensors, and software to automate the parking process, offering efficient use of space and reduced human intervention. These systems are increasingly adopted in urban areas to address parking shortages, enhance convenience, and support smart city initiatives.
Rapid urbanization has led to increased vehicle ownership, particularly in densely populated regions. Traditional parking solutions are often inadequate, leading to congestion and inefficient land use. APS addresses these challenges by maximizing vertical space and reducing the footprint of parking facilities.
Advancements in robotics, artificial intelligence, and the Internet of Things (IoT) have significantly improved the functionality and reliability of APS. These technologies enable seamless vehicle movement, real-time monitoring, and integration with smart city infrastructure, driving the adoption of APS solutions.
APS contributes to environmental sustainability by reducing vehicle emissions associated with traditional parking methods. Additionally, by optimizing land use, APS can lower construction and operational costs, making it an economically viable solution for urban developers.
The installation of APS involves significant capital expenditure, including costs for infrastructure, technology integration, and system customization. This high initial investment can be a barrier for some municipalities and developers, particularly in regions with limited budgets.
The lack of standardized regulations and technical specifications for APS can lead to compatibility issues and hinder widespread adoption. Developing and implementing uniform standards is essential to ensure the interoperability and safety of APS installations.
Report Metric | Details |
---|---|
Segmentations | |
By Automation Level |
Fully Automated APS Semi-Automated APS |
By Platform Type |
Palleted Systems Non-Palleted Systems |
By Component |
Hardware Software |
Key Players |
KLAUS Multiparking Pvt. Ltd. Robotic Parking System Inc. Unitronics PLC Lödige Industries ParkPlus Inc. Skyline Parking AG FATA Automation, Inc. Dayang Parking Co., Ltd. Wohr Parking System Pvt. Ltd. AutoMotion Parking Systems LLC |
Geographies Covered | |
North America |
U.S. |
Europe |
U.K. |
Asia Pacific |
China |
Middle East & Africa |
Saudi Arabia |
Latin America |
Brazil |
Europe: Europe led the global APS market with a share of approximately 35% in 2023. Countries like Germany, France, and the United Kingdom are at the forefront of APS adoption, driven by urban congestion and government support for smart city initiatives.
Asia-Pacific: The Asia-Pacific region is expected to witness the highest CAGR during the forecast period. Rapid urbanization, increasing vehicle ownership, and government investments in smart infrastructure are propelling the demand for APS in countries such as China, Japan, and India.
North America: North America accounted for approximately 23.3% of the global APS market in 2023. Cities like New York, San Francisco, and Toronto are exploring APS solutions to address parking challenges in urban centers.
Latin America: The Latin American market is emerging, with increasing interest in APS solutions for urban development projects. Countries like Brazil and Mexico are beginning to explore APS as part of their infrastructure modernization efforts.
Middle East & Africa: The Middle East and Africa region is witnessing growing adoption of APS, particularly in countries like the UAE and Saudi Arabia, where urban development and smart city projects are accelerating the demand for innovative parking solutions.
The current size of the automated parking system market is 2.39 Billion as of 2024.
The automated parking system market is projected to grow at a CAGR of 11.5% from 2025 to 2033
The Europe region is expected to witness the highest growth rate.
Major players include KLAUS Multiparking Pvt. Ltd., Robotic Parking System Inc., Unitronics PLC, Lödige Industries, ParkPlus Inc., Skyline Parking AG, FATA Automation, Inc., Dayang Parking Co., Ltd.. Wohr Parking System Pvt. Ltd., AutoMotion Parking Systems LLC.
1.1 Summary
1.2 Research methodology
2.1 Research Objectives
2.2 Market Definition
2.3 Limitations & Assumptions
2.4 Market Scope & Segmentation
2.5 Currency & Pricing Considered
3.1 Drivers
3.2 Geopolitical Impact
3.3 Human Factors
3.4 Technology Factors
4.1 Porters Five Forces Analysis
4.2 Value Chain Analysis
4.3 Average Pricing Analysis
4.4 M & A, Agreements & Collaboration Analysis
5.1 Automated Parking System (APS) Market, By Automation Level
5.1.1 Introduction
5.1.2 Market Size & Forecast
5.2 Automated Parking System (APS) Market, By Platform Type
5.3 Automated Parking System (APS) Market, By Component
6.1 North America Automated Parking System (APS) Market, By Country
6.1.1 Automated Parking System (APS) Market, By Automation Level
6.1.2 Automated Parking System (APS) Market, By Platform Type
6.1.3 Automated Parking System (APS) Market, By Component
6.2 U.S.
6.2.1 Automated Parking System (APS) Market, By Automation Level
6.2.2 Automated Parking System (APS) Market, By Platform Type
6.2.3 Automated Parking System (APS) Market, By Component
6.3 Canada
7.1 U.K.
7.2 Germany
7.3 France
7.4 Spain
7.5 Italy
7.6 Russia
7.7 Nordic
7.8 Benelux
7.9 The Rest of Europe
8.1 China
8.2 South Korea
8.3 Japan
8.4 India
8.5 Australia
8.6 Taiwan
8.7 South East Asia
8.8 The Rest of Asia-Pacific
9.1 UAE
9.2 Turkey
9.3 Saudi Arabia
9.4 South Africa
9.5 Egypt
9.6 Nigeria
9.7 Rest of MEA
10.1 Brazil
10.2 Mexico
10.3 Argentina
10.4 Chile
10.5 Colombia
10.6 Rest of Latin America
11.1 Global Market Share (%) By Players
11.2 Market Ranking By Revenue for Players
11.3 Competitive Dashboard
11.4 Product Mapping