Automated Valet Parking AI Market Report 2026

The automated valet parking artificial intelligence (AI) market size has grown exponentially in recent years. It will grow from $1.87 billion in 2025 to $2.3 billion in 2026 at a compound annual growth rate (CAGR) of 22.9%. The growth in the historic period can be attributed to urban parking congestion challenges, growth of smart parking infrastructure, increasing adoption of adas technologies, need for improved parking space utilization, rise of autonomous vehicle testing programs.

The automated valet parking artificial intelligence (AI) market size is expected to see exponential growth in the next few years. It will grow to $5.2 billion in 2030 at a compound annual growth rate (CAGR) of 22.7%. The growth in the forecast period can be attributed to growth of v2i enabled parking ecosystems, expansion of autonomous parking in commercial hubs, increasing safety regulations for automated parking, need for frictionless mobility and user convenience, rising investments in smart city parking upgrades. Major trends in the forecast period include end-to-end parking automation in smart facilities, vision and sensor fusion for precise slot detection, vehicle-to-infrastructure assisted parking navigation, fleet-ready autonomous parking for commercial operators, safety validation through digital parking simulations.

The rising adoption of autonomous and connected vehicles is anticipated to drive the growth of the automated valet parking AI market in the coming years. Autonomous and connected vehicles refer to automobiles equipped with advanced technologies that allow them to operate with minimal human intervention while communicating with their environment to enhance safety and efficiency. The growing adoption of these vehicles is being fueled by advancements in artificial intelligence and sensor technologies that improve driving safety and efficiency, minimize human error, and enhance transportation reliability. Automated valet parking artificial intelligence enables autonomous and connected vehicles to independently locate, navigate to, and park in available spaces efficiently, providing greater convenience, reducing congestion, and optimizing parking management. For instance, in January 2024, according to information published by the Alliance for Automotive Innovation, a United States-based organization, electric vehicles accounted for 10.1 percent of new light-duty vehicle sales in the third quarter of 2023, an increase from 9.1 percent in the second quarter of 2023 and 7.1 percent in the third quarter of 2022. Therefore, the increasing adoption of autonomous and connected vehicles is expected to drive the growth of the automated valet parking AI market.

Key companies operating in the automated valet parking AI market are emphasizing advancements in autonomous vehicle technology, such as modular system design, to enhance flexibility, scalability, and efficiency of parking solutions while improving safety and user experience. Modular system design refers to an engineering approach in which a complex system is divided into smaller, independent, and interchangeable modules, each performing a specific function and allowing easier maintenance, upgrades, and scalability while enabling seamless collaboration among modules. For example, in January 2023, Robert Bosch GmbH, a Germany-based mobility solutions company, in partnership with Apcoa Parking AG, a Germany-based management company, expanded their automated valet parking technology to 15 additional garages across Germany, from Hamburg to Munich, following successful implementation at Stuttgart Airport’s P6 garage. The initial setup included four spaces per garage, with plans to increase capacity to 200, while the APCOA FLOW platform supported contactless entry, reservations, and cashless payments to improve service convenience. This initiative aims to accelerate the adoption of automated valet parking systems across Germany, enhance parking space utilization, and deliver a safe, seamless, and convenient experience for drivers through advanced AI-powered and modularly designed systems.

In 2023, Robert Bosch GmbH, a Germany-based provider of mobility solutions and automotive technologies, partnered with Apcoa, a Germany-based provider of parking and mobility services, to expand automated valet parking systems across 15 garages in Germany. Through this partnership, Bosch and Apcoa aim to advance the deployment of SAE Level 4 driverless parking technology, strengthen urban parking infrastructure, and support the growing adoption of autonomous vehicles. Apcoa is a Germany-based company offering parking management services and digital solutions for vehicle access, payment, and mobility optimization.

Major companies operating in the automated valet parking artificial intelligence (AI) market are Tesla Inc., Siemens Aktiengesellschaft, NVIDIA Corporation, Denso Corporation, HyundAI Mobis Co. Ltd., Continental AG, ZF Friedrichshafen AG, Magna International Inc., Valeo SA, Aptiv PLC, Baidu Inc., Infineon Technologies AG, Renesas Electronics Corporation, Robert Bosch GmbH, Metropolis Technologies Inc., Pony AI Inc., Smart Parking Limited, Applied Intuition Inc., Stanley Robotics SAS, ParkPlus Inc.

Europe was the largest region in the automated valet parking artificial intelligence (AI) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the automated valet parking artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the automated valet parking artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs are creating challenges for the automated valet parking AI market by increasing the cost of imported sensors, cameras, LiDAR, radar modules, and onboard compute units required for safe autonomous parking operations. Automotive OEMs, parking operators, and smart facility developers in North America and Europe are most affected due to reliance on globally manufactured components, which can raise system integration costs and delay deployments. These cost increases can also impact commercial parking facilities and airport infrastructure upgrades. However, tariffs are encouraging localized component sourcing, regional manufacturing partnerships, and innovation in cost-efficient sensor fusion software that reduces dependence on expensive imported hardware.

The automated valet parking artificial intelligence (AI) market research report is one of a series of new reports that provides automated valet parking artificial intelligence (AI) market statistics, including automated valet parking artificial intelligence (AI) industry global market size, regional shares, competitors with a automated valet parking artificial intelligence (AI) market share, detailed automated valet parking artificial intelligence (AI) market segments, market trends and opportunities, and any further data you may need to thrive in the automated valet parking artificial intelligence (AI) industry. This automated valet parking artificial intelligence (AI) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Automated valet parking artificial intelligence (AI) involves the application of artificial intelligence, computer vision, and sensor fusion technologies that enable vehicles to autonomously locate, navigate to, and park in available spaces without human intervention. The system integrates AI algorithms with real-time data from cameras, radar, LiDAR, and vehicle-to-infrastructure (V2I) communication to ensure safe, accurate, and efficient parking operations. Its primary goal is to enhance driver convenience, minimize parking congestion, and improve space utilization and safety within smart mobility and urban infrastructure environments.

The key components of automated valet parking artificial intelligence (AI) are software, hardware, and services. Automated valet parking AI software includes the vehicle and facility code that supports perception, planning, control, orchestration, and user interactions. The various technologies consist of deep learning, computer vision, sensor fusion, and others. These technologies are applied to different vehicle types such as passenger cars and commercial vehicles and are utilized in applications such as commercial parking facilities, residential parking, airports, shopping malls, and hotels. They are also used by different end users such as automotive OEMs, parking operators, fleet owners, and other users.

The automated valet parking artificial intelligence (AI) market consists of revenues earned by entities by providing services such as localization services, reporting services, retrofit and upgrade services, automated valet parking services, and smart parking management services. The market value includes the value of related goods sold by the service provider or included within the service offering. The automated valet parking artificial intelligence (AI) market also includes automotive cameras, ultrasonic sensors, automotive radar units, LiDAR sensor modules, and V2X communication modules. Values in this market are ‘factory gate’ values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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