Automotive Intelligent Park Assist Market Size, Trends and Insights By Hardware (Pucks (Wireless Sensors), Cameras & LPRs, Smart Meters, Signage, Parking Gates), By Software (Parking Guidance System, Analytics Solutions), By Service (Consulting Service, Engineering Service, Mobile App Parking Service), By Type (On-street, Off-street, Garage Parking, Lot Parking), By Application (Commercial, Government, Transport Transit), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033
Report Snapshot
| Study Period: | 2024-2033 |
| Fastest Growing Market: | Asia-Pacific |
| Largest Market: | Europe |
Major Players
- Altiux Innovations
- Amano McGann Inc.
- Amco S.A.
- BMW AG (ParkNow GmbH Parkmobile LLC)
- Cisco Systems Inc.
- Others
Reports Description
As per the current market research conducted by CMI Team, the global Automotive Intelligent Park Assist Market is expected to record a CAGR of 23% from 2023 to 2032. In 2022, the market size is projected to reach a valuation of USD 7.22 billion. By 2032, the valuation is anticipated to reach USD 21.7 billion.
Intelligent Park Assist (IPA) refers to a smart parking system that utilizes advanced technologies to assist drivers in finding parking spaces more efficiently.
The Automotive IPA market involves the integration of various technologies, such as sensors, cameras, data processing algorithms, and communication systems, to automate and optimize the parking process.
Key features of Intelligent Park Assist systems may include:
- Parking Space Detection: Utilizing sensors and cameras, the system can detect available parking spaces in real-time and relay that information to drivers.
- Automated Parking Assistance: IPA can provide automated steering and guidance to help drivers maneuver into parking spaces more easily.
- Mobile Applications: Some IPA solutions offer mobile apps that allow users to find parking spaces and reserve them in advance.
- Data Analytics: Intelligent Park Assist systems often collect data on parking patterns and usage, enabling better urban planning and traffic management.
- Integration with Smart Cities: These systems can be integrated into larger smart city initiatives to improve overall traffic flow and reduce congestion.
The IPA market has been driven by the increasing need to address urban parking challenges, reduce traffic congestion, and improve the overall driving experience. The adoption of IPA technology is expected to grow as cities and businesses seek more efficient and eco-friendly parking solutions.
However, it’s essential to note that the market may have evolved further since my last update, so I recommend checking more recent sources for the latest developments and statistics related to the Automotive Intelligent Park Assist market.
Automotive Intelligent Park Assist Market – Significant Growth Factors
- Increasing Urbanization: The rapid growth of urban populations has led to a rise in the number of vehicles on the roads, resulting in a higher demand for parking spaces. IPA systems help optimize parking and reduce traffic congestion in densely populated urban areas.
- Traffic Congestion and Pollution Concerns: Cities worldwide face severe traffic congestion and pollution challenges. IPA systems can contribute to reducing congestion by helping drivers find parking spaces more efficiently, thus minimizing unnecessary circling around for parking.
- Advancements in Sensing Technologies: The development of advanced sensing technologies, such as ultrasonic sensors, cameras, and LiDAR, has improved the accuracy and reliability of IPA systems. These technologies enable precise detection of parking spaces and obstacles, enhancing the overall user experience.
- Growth of Smart Cities Initiatives: The global trend towards building smart cities has driven the adoption of Intelligent Park Assist systems. As cities aim to use technology to improve urban living conditions, IPA becomes a critical component of integrated smart mobility solutions.
- Enhanced Driver Convenience: IPA systems offer drivers a more convenient parking experience by assisting them in locating available parking spaces and guiding them during parking maneuvers. This convenience factor has made IPA attractive to consumers.
- Environmental Benefits: By reducing the time spent searching for parking spots and minimizing unnecessary driving, IPA systems contribute to lower fuel consumption and emissions, aligning with environmental sustainability goals.
- Integration with Vehicle Infotainment Systems: Automakers are integrating IPA technology into their vehicle infotainment systems, making them more accessible to drivers. This integration has driven greater adoption of IPA in new vehicles.
- Rising Investment and R&D Efforts: The increasing interest in smart mobility solutions has attracted investments from both established automotive players and startups. This influx of funding has accelerated research and development efforts in the Automotive IPA market.
- Supportive Government Policies: Some governments have introduced policies and incentives to promote the adoption of smart parking solutions, including IPA systems, as part of their broader smart city and sustainable transportation initiatives.
Automotive Intelligent Park Assist Market – Mergers and Acquisitions
Given the growth potential and strategic importance of IPA solutions in the context of smart mobility and smart city initiatives, it is possible that companies in the automotive technology sector may have engaged in M&A activities to strengthen their positions in the market. Some potential scenarios where M&A could occur in the Automotive IPA market include:
- Established automotive companies acquiring startups or companies specializing in IPA technology to expand their product portfolios and offer integrated smart parking solutions to customers.
- Technology companies specializing in sensors, artificial intelligence, or autonomous driving acquiring IPA solution providers to enhance their capabilities in the smart mobility space.
- Partnerships and collaborations between automakers and technology companies to jointly develop and deploy IPA systems in vehicles.
- Consolidation among existing IPA solution providers to gain a larger market share and compete more effectively
COMPARATIVE ANALYSIS OF THE RELATED MARKET
| Automotive Intelligent Park Assist Market | Automatic Number Plate Recognition System Market | Advanced Driver Assistance Systems (ADAS) Market |
| CAGR 23% (Approx) | CAGR 10% (Approx) | CAGR 18.2 % (Approx) |
| USD 21.7 Billion by 2032 | USD 6 Billion by 2030 | USD 81.17 Billion by 2032 |
Automotive Intelligent Park Assist Market – Significant Threats
- High Initial Cost: Intelligent Park Assist systems often require a significant upfront investment for the installation of sensors, cameras, and other infrastructure. The initial cost can be a deterrent for some car manufacturers, parking facility operators, or consumers, especially in regions with budget constraints.
- Integration Challenges: Integrating IPA systems into existing vehicles or infrastructure can be complex, particularly for older car models or parking facilities. Compatibility issues and the need for retrofitting may slow down the adoption of IPA technology.
- Reliability and Safety Concerns: Drivers and users may have concerns about the reliability and safety of IPA systems. Accurate parking space detection and automated parking maneuvers are critical, and any errors or malfunctions could lead to accidents or property damage.
- Privacy and Data Security: Intelligent Park Assist systems rely on data collection and processing, which may raise privacy concerns among users. Ensuring the security and responsible use of data is essential to gain trust and acceptance among consumers.
- Lack of Standardization: The absence of industry-wide standards for Intelligent Park Assist technology can lead to fragmentation and compatibility issues between different systems. Standardization efforts are necessary to ensure interoperability and widespread adoption.
- Limited Infrastructure Support: The effectiveness of IPA systems relies on the availability of well-maintained infrastructure, such as clear parking space markings and suitable communication networks. Inadequate infrastructure support in some regions may hinder the optimal functioning of IPA systems.
- Competing Solutions: Other parking technologies and solutions, such as mobile parking apps, valet services, and automated parking garages, present competition to IPA systems. Customers may opt for alternative solutions based on their preferences and specific needs.
- Regulatory Hurdles: Depending on the region, there may be regulatory challenges related to the deployment and operation of IPA systems. Complying with local regulations and obtaining necessary approvals can pose obstacles for market participants.
- Lack of Consumer Awareness: Many consumers may not be aware of the existence and benefits of Intelligent Park Assist systems. Raising awareness and educating potential users about the advantages of IPA technology is crucial to drive adoption.
Report Scope
| Feature of the Report | Details |
| Market Size in 2023 | USD 8.66 Billion |
| Projected Market Size in 2032 | USD 21.7 Billion |
| Market Size in 2022 | USD 7.22 Billion |
| CAGR Growth Rate | 23% CAGR |
| Base Year | 2023 |
| Forecast Period | 2024-2033 |
| Key Segment | By Hardware, Software, Service, Type, Application and Region |
| Report Coverage | Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends |
| Regional Scope | North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America |
| Buying Options | Request tailored purchasing options to fulfil your requirements for research. |
Category-Wise Insights
Based on Hardware:
In 2023, the smart meters segment dominated the parking technology market with a significant share of over 41%. The ongoing trend of urbanization has created a growing demand for on-street parking spaces in cities worldwide, resulting in the widespread adoption of parking meters.
These smart meters utilize sensors and mobile applications to monitor available parking spaces and keep track of the number of vehicles parked. As many people tend to park their vehicles on the streets for extended periods, governments have recognized the need to address parking challenges effectively.
In response, they have increasingly deployed smart parking meters that not only monitor free spaces but also facilitate convenient payments for on-street parking slots.
Based on Software:
As of 2023, the parking guidance systems segment dominated the smart parking systems market, accounting for a substantial revenue share of over 76.9%. These guidance systems have witnessed increasing popularity due to their ability to assist drivers in finding vacant parking spaces efficiently.
They provide valuable information such as parking guidelines, the number of available spaces, and the duration of availability, thereby saving drivers time and effort. In response to the growing demand, industry players are actively introducing cutting-edge guidance systems to gain a larger share of the global smart parking systems market.
One such example is Quercus Technologies, a parking solution provider that launched its outdoor parking guidance system, SC Outdoor, in June 2021. This system is designed to help drivers locate available parking spaces on rooftops and other outdoor parking facilities. SC Outdoor works seamlessly with Quercus Technologies’ parking management software, BirdWatch, providing a comprehensive and efficient parking solution.
The increasing adoption of parking guidance systems is aligned with the broader goal of optimizing urban parking and enhancing the overall parking experience for drivers. By leveraging advanced technologies, these systems enable drivers to navigate parking lots more effectively, reducing congestion and enhancing the utilization of parking spaces.
Automotive Intelligent Park Assist Market – Regional Analysis
- North America: North America, particularly the United States, was a leading market for Intelligent Park Assist systems. The region’s strong automotive industry, high urbanization rates, and willingness to adopt advanced technologies contributed to the growth of IPA solutions. Major cities with dense populations and limited parking space availability drove the demand for smart parking systems.
- Europe: Europe also represented a significant market for Intelligent Park Assist solutions. Many European cities face parking challenges due to historical layouts and increasing urbanization. Governments and municipalities in the region have actively promoted smart mobility solutions, including IPA, as part of their smart city initiatives.
- Asia-Pacific: The Asia-Pacific region showcased immense potential for the growth of Intelligent Park Assist systems. Rapidly urbanizing countries like China and India, with expanding vehicle ownership, have faced severe parking and traffic congestion issues. As a result, there was a growing interest in smart parking solutions, and governments initiated pilot projects and investments in smart mobility technologies.
- Latin America: While the adoption of Intelligent Park Assist was comparatively lower in Latin America, there were signs of increasing interest. As urbanization rates continued to rise in major cities across the region, governments and private entities recognized the importance of implementing smart parking solutions to ease congestion and improve parking management.
- Middle East and Africa: The Automotive Intelligent Park Assist market in the Middle East and Africa was in its early stages of development. Some countries in the region, particularly the Gulf Cooperation Council (GCC) countries, have shown interest in smart city initiatives, which could drive the demand for IPA systems in the future.
List of the prominent players in the Automotive Intelligent Park Assist Market:
- Altiux Innovations
- Amano McGann Inc.
- Amco S.A.
- BMW AG (ParkNow GmbH Parkmobile LLC)
- Cisco Systems Inc.
- CivicSmart Inc.
- Deteq Solutions
- Flowbird
- gtechna
- INDECT Electronics & Distribution GmbH
- Kapsch TrafficCom
- Libelium Comunicaciones Distribuidas S.L.
- Meter Feeder Inc.
- Mindteck
- Municipal Parking Services Inc.
- Nedap N.V.
- Park Assist
- ParkHelp Technologies
- ParkJockey
- ParkMe Inc.
- Robert Bosch GmbH
- Siemens AG
- SKIDATA AG
- Smart Parking Ltd.
- SpotHero, Inc.
- Swarco AG
- Urbiotica S.L.
- Others
The Automotive Intelligent Park Assist Market is segmented as follows:
By Hardware
- Pucks (Wireless Sensors)
- Cameras & LPRs
- Smart Meters
- Signage
- Parking Gates
By Software
- Parking Guidance System
- Analytics Solutions
By Service
- Consulting Service
- Engineering Service
- Mobile App Parking Service
By Type
- On-street
- Off-street
- Garage Parking
- Lot Parking
By Application
- Commercial
- Government
- Transport Transit
Regional Coverage:
North America
- U.S.
- Canada
- Mexico
- Rest of North America
Europe
- Germany
- France
- U.K.
- Italy
- Spain
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- New Zealand
- Australia
- South Korea
- Rest of Asia Pacific
The Middle East & Africa
- Saudi Arabia
- UAE
- Egypt
- Kuwait
- South Africa
- Rest of the Middle East & Africa
Latin America
- Brazil
- Argentina
- Rest of Latin America
Table of Contents
- Chapter 1. Preface
- 1.1 Report Description and Scope
- 1.2 Research scope
- 1.3 Research methodology
- 1.3.1 Market Research Type
- 1.3.2 Market research methodology
- Chapter 2. Executive Summary
- 2.1 Global Automotive Automotive Intelligent Park Assist Market, (2024 – 2033) (USD Billion)
- 2.2 Global Automotive Automotive Intelligent Park Assist Market : snapshot
- Chapter 3. Global Automotive Automotive Intelligent Park Assist Market – Industry Analysis
- 3.1 Automotive Automotive Intelligent Park Assist Market: Market Dynamics
- 3.2 Market Drivers
- 3.2.1 Increasing Urbanization
- 3.2.2 Traffic Congestion and Pollution Concerns
- 3.2.3 Advancements in Sensing Technologies
- 3.2.4 Growth of Smart Cities Initiatives
- 3.2.5 Enhanced Driver Convenience
- 3.2.6 Environmental Benefits
- 3.2.7 Integration with Vehicle Infotainment Systems
- 3.2.8 Rising Investment and R&D Efforts
- 3.2.9 Supportive Government Policies.
- 3.3 Market Restraints
- 3.4 Market Opportunities
- 3.5 Market Challenges
- 3.6 Porter’s Five Forces Analysis
- 3.7 Market Attractiveness Analysis
- 3.7.1 Market attractiveness analysis By Hardware
- 3.7.2 Market attractiveness analysis By Software
- 3.7.3 Market attractiveness analysis By Service
- 3.7.4 Market attractiveness analysis By Type
- 3.7.5 Market attractiveness analysis By Application
- Chapter 4. Global Automotive Automotive Intelligent Park Assist Market- Competitive Landscape
- 4.1 Company market share analysis
- 4.1.1 Global Automotive Automotive Intelligent Park Assist Market: company market share, 2022
- 4.2 Strategic development
- 4.2.1 Acquisitions & mergers
- 4.2.2 New Product launches
- 4.2.3 Agreements, partnerships, cullaborations, and joint ventures
- 4.2.4 Research and development and Regional expansion
- 4.3 Price trend analysis
- 4.1 Company market share analysis
- Chapter 5. Global Automotive Automotive Intelligent Park Assist Market – Hardware Analysis
- 5.1 Global Automotive Automotive Intelligent Park Assist Market overview: By Hardware
- 5.1.1 Global Automotive Automotive Intelligent Park Assist Market share, By Hardware , 2022 and – 2033
- 5.2 Pucks (Wireless Sensors)
- 5.2.1 Global Automotive Automotive Intelligent Park Assist Market by Pucks (Wireless Sensors), 2024 – 2033 (USD Billion)
- 5.3 Cameras & LPRs
- 5.3.1 Global Automotive Automotive Intelligent Park Assist Market by Cameras & LPRs, 2024 – 2033 (USD Billion)
- 5.4 Smart Meters
- 5.4.1 Global Automotive Automotive Intelligent Park Assist Market by Smart Meters, 2024 – 2033 (USD Billion)
- 5.5 Signage
- 5.5.1 Global Automotive Automotive Intelligent Park Assist Market by Signage, 2024 – 2033 (USD Billion)
- 5.6 Parking Gates
- 5.6.1 Global Automotive Automotive Intelligent Park Assist Market by Parking Gates, 2024 – 2033 (USD Billion)
- 5.1 Global Automotive Automotive Intelligent Park Assist Market overview: By Hardware
- Chapter 6. Global Automotive Automotive Intelligent Park Assist Market – Software Analysis
- 6.1 Global Automotive Automotive Intelligent Park Assist Market overview: By Software
- 6.1.1 Global Automotive Automotive Intelligent Park Assist Market share, By Software , 2022 and – 2033
- 6.2 Parking Guidance System
- 6.2.1 Global Automotive Automotive Intelligent Park Assist Market by Parking Guidance System, 2024 – 2033 (USD Billion)
- 6.3 Analytics Solutions
- 6.3.1 Global Automotive Automotive Intelligent Park Assist Market by Analytics Solutions, 2024 – 2033 (USD Billion)
- 6.1 Global Automotive Automotive Intelligent Park Assist Market overview: By Software
- Chapter 7. Global Automotive Automotive Intelligent Park Assist Market – Service Analysis
- 7.1 Global Automotive Automotive Intelligent Park Assist Market overview: By Service
- 7.1.1 Global Automotive Automotive Intelligent Park Assist Market share, By Service , 2022 and – 2033
- 7.2 Consulting Service
- 7.2.1 Global Automotive Automotive Intelligent Park Assist Market by Consulting Service, 2024 – 2033 (USD Billion)
- 7.3 Engineering Service
- 7.3.1 Global Automotive Automotive Intelligent Park Assist Market by Engineering Service, 2024 – 2033 (USD Billion)
- 7.4 Mobile App Parking Service
- 7.4.1 Global Automotive Automotive Intelligent Park Assist Market by Mobile App Parking Service, 2024 – 2033 (USD Billion)
- 7.1 Global Automotive Automotive Intelligent Park Assist Market overview: By Service
- Chapter 8. Global Automotive Automotive Intelligent Park Assist Market – Type Analysis
- 8.1 Global Automotive Automotive Intelligent Park Assist Market overview: By Type
- 8.1.1 Global Automotive Automotive Intelligent Park Assist Market share, By Type , 2022 and – 2033
- 8.2 On-street
- 8.2.1 Global Automotive Automotive Intelligent Park Assist Market by On-street, 2024 – 2033 (USD Billion)
- 8.3 Off-street
- 8.3.1 Global Automotive Automotive Intelligent Park Assist Market by Off-street, 2024 – 2033 (USD Billion)
- 8.4 Garage Parking
- 8.4.1 Global Automotive Automotive Intelligent Park Assist Market by Garage Parking, 2024 – 2033 (USD Billion)
- 8.5 Lot Parking
- 8.5.1 Global Automotive Automotive Intelligent Park Assist Market by Lot Parking, 2024 – 2033 (USD Billion)
- 8.1 Global Automotive Automotive Intelligent Park Assist Market overview: By Type
- Chapter 9. Global Automotive Automotive Intelligent Park Assist Market – Application Analysis
- 9.1 Global Automotive Automotive Intelligent Park Assist Market overview: By Application
- 9.1.1 Global Automotive Automotive Intelligent Park Assist Market share, By Application, 2022 and – 2033
- 9.2 Commercial
- 9.2.1 Global Automotive Automotive Intelligent Park Assist Market by Commercial, 2024 – 2033 (USD Billion)
- 9.3 Government
- 9.3.1 Global Automotive Automotive Intelligent Park Assist Market by Government, 2024 – 2033 (USD Billion)
- 9.4 Transport Transit
- 9.4.1 Global Automotive Automotive Intelligent Park Assist Market by Transport Transit, 2024 – 2033 (USD Billion)
- 9.1 Global Automotive Automotive Intelligent Park Assist Market overview: By Application
- Chapter 10. Automotive Automotive Intelligent Park Assist Market – Regional Analysis
- 10.1 Global Automotive Automotive Intelligent Park Assist Market Regional Overview
- 10.2 Global Automotive Automotive Intelligent Park Assist Market Share, by Region, 2022 & – 2033 (USD Billion)
- 10.3. North America
- 10.3.1 North America Automotive Automotive Intelligent Park Assist Market, 2024 – 2033 (USD Billion)
- 10.3.1.1 North America Automotive Automotive Intelligent Park Assist Market, by Country, 2024 – 2033 (USD Billion)
- 10.3.1 North America Automotive Automotive Intelligent Park Assist Market, 2024 – 2033 (USD Billion)
- 10.4 North America Automotive Automotive Intelligent Park Assist Market, by Hardware , 2024 – 2033
- 10.4.1 North America Automotive Automotive Intelligent Park Assist Market, by Hardware , 2024 – 2033 (USD Billion)
- 10.5 North America Automotive Automotive Intelligent Park Assist Market, by Software , 2024 – 2033
- 10.5.1 North America Automotive Automotive Intelligent Park Assist Market, by Software , 2024 – 2033 (USD Billion)
- 10.6 North America Automotive Automotive Intelligent Park Assist Market, by Service , 2024 – 2033
- 10.6.1 North America Automotive Automotive Intelligent Park Assist Market, by Service , 2024 – 2033 (USD Billion)
- 10.7 North America Automotive Automotive Intelligent Park Assist Market, by Type , 2024 – 2033
- 10.7.1 North America Automotive Automotive Intelligent Park Assist Market, by Type , 2024 – 2033 (USD Billion)
- 10.8 North America Automotive Automotive Intelligent Park Assist Market, by Application, 2024 – 2033
- 10.8.1 North America Automotive Automotive Intelligent Park Assist Market, by Application, 2024 – 2033 (USD Billion)
- 10.9. Europe
- 10.9.1 Europe Automotive Automotive Intelligent Park Assist Market, 2024 – 2033 (USD Billion)
- 10.9.1.1 Europe Automotive Automotive Intelligent Park Assist Market, by Country, 2024 – 2033 (USD Billion)
- 10.9.1 Europe Automotive Automotive Intelligent Park Assist Market, 2024 – 2033 (USD Billion)
- 10.10 Europe Automotive Automotive Intelligent Park Assist Market, by Hardware , 2024 – 2033
- 10.10.1 Europe Automotive Automotive Intelligent Park Assist Market, by Hardware , 2024 – 2033 (USD Billion)
- 10.11 Europe Automotive Automotive Intelligent Park Assist Market, by Software , 2024 – 2033
- 10.11.1 Europe Automotive Automotive Intelligent Park Assist Market, by Software , 2024 – 2033 (USD Billion)
- 10.12 Europe Automotive Automotive Intelligent Park Assist Market, by Service , 2024 – 2033
- 10.12.1 Europe Automotive Automotive Intelligent Park Assist Market, by Service , 2024 – 2033 (USD Billion)
- 10.13 Europe Automotive Automotive Intelligent Park Assist Market, by Type , 2024 – 2033
- 10.13.1 Europe Automotive Automotive Intelligent Park Assist Market, by Type , 2024 – 2033 (USD Billion)
- 10.14 Europe Automotive Automotive Intelligent Park Assist Market, by Application, 2024 – 2033
- 10.14.1 Europe Automotive Automotive Intelligent Park Assist Market, by Application, 2024 – 2033 (USD Billion)
- 10.15. Asia Pacific
- 10.15.1 Asia Pacific Automotive Automotive Intelligent Park Assist Market, 2024 – 2033 (USD Billion)
- 10.15.1.1 Asia Pacific Automotive Automotive Intelligent Park Assist Market, by Country, 2024 – 2033 (USD Billion)
- 10.15.1 Asia Pacific Automotive Automotive Intelligent Park Assist Market, 2024 – 2033 (USD Billion)
- 10.16 Asia Pacific Automotive Automotive Intelligent Park Assist Market, by Hardware , 2024 – 2033
- 10.16.1 Asia Pacific Automotive Automotive Intelligent Park Assist Market, by Hardware , 2024 – 2033 (USD Billion)
- 10.17 Asia Pacific Automotive Automotive Intelligent Park Assist Market, by Software , 2024 – 2033
- 10.17.1 Asia Pacific Automotive Automotive Intelligent Park Assist Market, by Software , 2024 – 2033 (USD Billion)
- 10.18 Asia Pacific Automotive Automotive Intelligent Park Assist Market, by Service , 2024 – 2033
- 10.18.1 Asia Pacific Automotive Automotive Intelligent Park Assist Market, by Service , 2024 – 2033 (USD Billion)
- 10.19 Asia Pacific Automotive Automotive Intelligent Park Assist Market, by Type , 2024 – 2033
- 10.19.1 Asia Pacific Automotive Automotive Intelligent Park Assist Market, by Type , 2024 – 2033 (USD Billion)
- 10.20 Asia Pacific Automotive Automotive Intelligent Park Assist Market, by Application, 2024 – 2033
- 10.20.1 Asia Pacific Automotive Automotive Intelligent Park Assist Market, by Application, 2024 – 2033 (USD Billion)
- 10.21. Latin America
- 10.21.1 Latin America Automotive Automotive Intelligent Park Assist Market, 2024 – 2033 (USD Billion)
- 10.21.1.1 Latin America Automotive Automotive Intelligent Park Assist Market, by Country, 2024 – 2033 (USD Billion)
- 10.21.1 Latin America Automotive Automotive Intelligent Park Assist Market, 2024 – 2033 (USD Billion)
- 10.22 Latin America Automotive Automotive Intelligent Park Assist Market, by Hardware , 2024 – 2033
- 10.22.1 Latin America Automotive Automotive Intelligent Park Assist Market, by Hardware , 2024 – 2033 (USD Billion)
- 10.23 Latin America Automotive Automotive Intelligent Park Assist Market, by Software , 2024 – 2033
- 10.23.1 Latin America Automotive Automotive Intelligent Park Assist Market, by Software , 2024 – 2033 (USD Billion)
- 10.24 Latin America Automotive Automotive Intelligent Park Assist Market, by Service , 2024 – 2033
- 10.24.1 Latin America Automotive Automotive Intelligent Park Assist Market, by Service , 2024 – 2033 (USD Billion)
- 10.25 Latin America Automotive Automotive Intelligent Park Assist Market, by Type , 2024 – 2033
- 10.25.1 Latin America Automotive Automotive Intelligent Park Assist Market, by Type , 2024 – 2033 (USD Billion)
- 10.26 Latin America Automotive Automotive Intelligent Park Assist Market, by Application, 2024 – 2033
- 10.26.1 Latin America Automotive Automotive Intelligent Park Assist Market, by Application, 2024 – 2033 (USD Billion)
- 10.27. The Middle-East and Africa
- 10.27.1 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, 2024 – 2033 (USD Billion)
- 10.27.1.1 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, by Country, 2024 – 2033 (USD Billion)
- 10.27.1 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, 2024 – 2033 (USD Billion)
- 10.28 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, by Hardware , 2024 – 2033
- 10.28.1 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, by Hardware , 2024 – 2033 (USD Billion)
- 10.29 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, by Software , 2024 – 2033
- 10.29.1 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, by Software , 2024 – 2033 (USD Billion)
- 10.30 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, by Service , 2024 – 2033
- 10.30.1 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, by Service , 2024 – 2033 (USD Billion)
- 10.31 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, by Type , 2024 – 2033
- 10.31.1 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, by Type , 2024 – 2033 (USD Billion)
- 10.32 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, by Application, 2024 – 2033
- 10.32.1 The Middle-East and Africa Automotive Automotive Intelligent Park Assist Market, by Application, 2024 – 2033 (USD Billion)
- Chapter 11. Company Profiles
- 11.1 Altiux Innovations
- 11.1.1 Overview
- 11.1.2 Financials
- 11.1.3 Product Portfolio
- 11.1.4 Business Strategy
- 11.1.5 Recent Developments
- 11.2 Amano McGann Inc.
- 11.2.1 Overview
- 11.2.2 Financials
- 11.2.3 Product Portfolio
- 11.2.4 Business Strategy
- 11.2.5 Recent Developments
- 11.3 Amco S.A.
- 11.3.1 Overview
- 11.3.2 Financials
- 11.3.3 Product Portfolio
- 11.3.4 Business Strategy
- 11.3.5 Recent Developments
- 11.4 BMW AG (ParkNow GmbH Parkmobile LLC)
- 11.4.1 Overview
- 11.4.2 Financials
- 11.4.3 Product Portfolio
- 11.4.4 Business Strategy
- 11.4.5 Recent Developments
- 11.5 Cisco Systems Inc.
- 11.5.1 Overview
- 11.5.2 Financials
- 11.5.3 Product Portfolio
- 11.5.4 Business Strategy
- 11.5.5 Recent Developments
- 11.6 CivicSmart Inc.
- 11.6.1 Overview
- 11.6.2 Financials
- 11.6.3 Product Portfolio
- 11.6.4 Business Strategy
- 11.6.5 Recent Developments
- 11.7 Deteq Solutions
- 11.7.1 Overview
- 11.7.2 Financials
- 11.7.3 Product Portfolio
- 11.7.4 Business Strategy
- 11.7.5 Recent Developments
- 11.8 Flowbird
- 11.8.1 Overview
- 11.8.2 Financials
- 11.8.3 Product Portfolio
- 11.8.4 Business Strategy
- 11.8.5 Recent Developments
- 11.9 gtechna
- 11.9.1 Overview
- 11.9.2 Financials
- 11.9.3 Product Portfolio
- 11.9.4 Business Strategy
- 11.9.5 Recent Developments
- 11.10 INDECT Electronics & Distribution GmbH
- 11.10.1 Overview
- 11.10.2 Financials
- 11.10.3 Product Portfolio
- 11.10.4 Business Strategy
- 11.10.5 Recent Developments
- 11.11 Kapsch TrafficCom
- 11.11.1 Overview
- 11.11.2 Financials
- 11.11.3 Product Portfolio
- 11.11.4 Business Strategy
- 11.11.5 Recent Developments
- 11.12 Libelium Comunicaciones Distribuidas S.L.
- 11.12.1 Overview
- 11.12.2 Financials
- 11.12.3 Product Portfolio
- 11.12.4 Business Strategy
- 11.12.5 Recent Developments
- 11.13 Meter Feeder Inc.
- 11.13.1 Overview
- 11.13.2 Financials
- 11.13.3 Product Portfolio
- 11.13.4 Business Strategy
- 11.13.5 Recent Developments
- 11.14 Mindteck
- 11.14.1 Overview
- 11.14.2 Financials
- 11.14.3 Product Portfolio
- 11.14.4 Business Strategy
- 11.14.5 Recent Developments
- 11.15 Municipal Parking Services Inc.
- 11.15.1 Overview
- 11.15.2 Financials
- 11.15.3 Product Portfolio
- 11.15.4 Business Strategy
- 11.15.5 Recent Developments
- 11.16 Nedap N.V.
- 11.16.1 Overview
- 11.16.2 Financials
- 11.16.3 Product Portfolio
- 11.16.4 Business Strategy
- 11.16.5 Recent Developments
- 11.17 Park Assist
- 11.17.1 Overview
- 11.17.2 Financials
- 11.17.3 Product Portfolio
- 11.17.4 Business Strategy
- 11.17.5 Recent Developments
- 11.18 ParkHelp Technologies
- 11.18.1 Overview
- 11.18.2 Financials
- 11.18.3 Product Portfolio
- 11.18.4 Business Strategy
- 11.18.5 Recent Developments
- 11.19 ParkJockey
- 11.19.1 Overview
- 11.19.2 Financials
- 11.19.3 Product Portfolio
- 11.19.4 Business Strategy
- 11.19.5 Recent Developments
- 11.20 ParkMe Inc.
- 11.20.1 Overview
- 11.20.2 Financials
- 11.20.3 Product Portfolio
- 11.20.4 Business Strategy
- 11.20.5 Recent Developments
- 11.21 Robert Bosch GmbH
- 11.21.1 Overview
- 11.21.2 Financials
- 11.21.3 Product Portfolio
- 11.21.4 Business Strategy
- 11.21.5 Recent Developments
- 11.22 Siemens AG
- 11.22.1 Overview
- 11.22.2 Financials
- 11.22.3 Product Portfolio
- 11.22.4 Business Strategy
- 11.22.5 Recent Developments
- 11.23 SKIDATA AG
- 11.23.1 Overview
- 11.23.2 Financials
- 11.23.3 Product Portfolio
- 11.23.4 Business Strategy
- 11.23.5 Recent Developments
- 11.24 Smart Parking Ltd.
- 11.24.1 Overview
- 11.24.2 Financials
- 11.24.3 Product Portfolio
- 11.24.4 Business Strategy
- 11.24.5 Recent Developments
- 11.25 SpotHero
- 11.25.1 Overview
- 11.25.2 Financials
- 11.25.3 Product Portfolio
- 11.25.4 Business Strategy
- 11.25.5 Recent Developments
- 11.26 Urbiotica S.L.
- 11.26.1 Overview
- 11.26.2 Financials
- 11.26.3 Product Portfolio
- 11.26.4 Business Strategy
- 11.26.5 Recent Developments
- 11.27 Swarco AG
- 11.27.1 Overview
- 11.27.2 Financials
- 11.27.3 Product Portfolio
- 11.27.4 Business Strategy
- 11.27.5 Recent Developments
- 11.28 Others.
- 11.28.1 Overview
- 11.28.2 Financials
- 11.28.3 Product Portfolio
- 11.28.4 Business Strategy
- 11.28.5 Recent Developments
- 11.1 Altiux Innovations
List Of Figures
Figures No 1 to 37
List Of Tables
Tables No 1 to 127
Report Methodology
In order to get the most precise estimates and forecasts possible, Custom Market Insights applies a detailed and adaptive research methodology centered on reducing deviations. For segregating and assessing quantitative aspects of the market, the company uses a combination of top-down and bottom-up approaches. Furthermore, data triangulation, which examines the market from three different aspects, is a recurring theme in all of our research reports. The following are critical components of the methodology used in all of our studies:
Preliminary Data Mining
On a broad scale, raw market information is retrieved and compiled. Data is constantly screened to make sure that only substantiated and verified sources are taken into account. Furthermore, data is mined from a plethora of reports in our archive and also a number of reputed & reliable paid databases. To gain a detailed understanding of the business, it is necessary to know the entire product life cycle and to facilitate this, we gather data from different suppliers, distributors, and buyers.
Surveys, technological conferences, and trade magazines are used to identify technical issues and trends. Technical data is also gathered from the standpoint of intellectual property, with a focus on freedom of movement and white space. The dynamics of the industry in terms of drivers, restraints, and valuation trends are also gathered. As a result, the content created contains a diverse range of original data, which is then cross-validated and verified with published sources.
Statistical Model
Simulation models are used to generate our business estimates and forecasts. For each study, a one-of-a-kind model is created. Data gathered for market dynamics, the digital landscape, development services, and valuation patterns are fed into the prototype and analyzed concurrently. These factors are compared, and their effect over the projected timeline is quantified using correlation, regression, and statistical modeling. Market forecasting is accomplished through the use of a combination of economic techniques, technical analysis, industry experience, and domain knowledge.
Short-term forecasting is typically done with econometric models, while long-term forecasting is done with technological market models. These are based on a synthesis of the technological environment, legal frameworks, economic outlook, and business regulations. Bottom-up market evaluation is favored, with crucial regional markets reviewed as distinct entities and data integration to acquire worldwide estimates. This is essential for gaining a thorough knowledge of the industry and ensuring that errors are kept to a minimum.
Some of the variables taken into account for forecasting are as follows:
• Industry drivers and constraints, as well as their current and projected impact
• The raw material case, as well as supply-versus-price trends
• Current volume and projected volume growth through 2030
We allocate weights to these variables and use weighted average analysis to determine the estimated market growth rate.
Primary Validation
This is the final step in our report’s estimating and forecasting process. Extensive primary interviews are carried out, both in-person and over the phone, to validate our findings and the assumptions that led to them.
Leading companies from across the supply chain, including suppliers, technology companies, subject matter experts, and buyers, use techniques like interviewing to ensure a comprehensive and non-biased overview of the business. These interviews are conducted all over the world, with the help of local staff and translators, to overcome language barriers.
Primary interviews not only aid with data validation, but also offer additional important insight into the industry, existing business scenario, and future projections, thereby improving the quality of our reports.
All of our estimates and forecasts are validated through extensive research work with key industry participants (KIPs), which typically include:
• Market leaders
• Suppliers of raw materials
• Suppliers of raw materials
• Buyers.
The following are the primary research objectives:
• To ensure the accuracy and acceptability of our data.
• Gaining an understanding of the current market and future projections.
Data Collection Matrix
| Perspective | Primary research | Secondary research |
| Supply-side |
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| Demand-side |
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Market Analysis Matrix
| Qualitative analysis | Quantitative analysis |
|
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Prominent Players
- Altiux Innovations
- Amano McGann Inc.
- Amco S.A.
- BMW AG (ParkNow GmbH Parkmobile LLC)
- Cisco Systems Inc.
- CivicSmart Inc.
- Deteq Solutions
- Flowbird
- gtechna
- INDECT Electronics & Distribution GmbH
- Kapsch TrafficCom
- Libelium Comunicaciones Distribuidas S.L.
- Meter Feeder Inc.
- Mindteck
- Municipal Parking Services Inc.
- Nedap N.V.
- Park Assist
- ParkHelp Technologies
- ParkJockey
- ParkMe Inc.
- Robert Bosch GmbH
- Siemens AG
- SKIDATA AG
- Smart Parking Ltd.
- SpotHero, Inc.
- Swarco AG
- Urbiotica S.L.
- Others
FAQs
The key factors driving the Market are Increasing Urbanization, Traffic Congestion and Pollution Concerns, Advancements in Sensing Technologies, Growth of Smart Cities Initiatives, Enhanced Driver Convenience, Environmental Benefits, Integration with Vehicle Infotainment Systems, Rising Investment and R&D Efforts And Supportive Government Policies.
The “Software” category dominated the market in 2022.
The key players in the market are Altiux Innovations, Amano McGann Inc., Amco S.A., BMW AG (ParkNow GmbH Parkmobile LLC), Cisco Systems Inc., CivicSmart Inc., Deteq Solutions, Flowbird, gtechna, INDECT Electronics & Distribution GmbH, Kapsch TrafficCom, Libelium Comunicaciones Distribuidas S.L., Meter Feeder Inc., Mindteck, Municipal Parking Services Inc., Nedap N.V., Park Assist, ParkHelp Technologies, ParkJockey, ParkMe Inc., Robert Bosch GmbH, Siemens AG, SKIDATA AG, Smart Parking Ltd., SpotHero, Inc., Swarco AG, Urbiotica S.L., Others.
“North America” had the largest share in the Intelligent Park Assist Market.
The global market is projected to grow at a CAGR of 23% during the forecast period, 2023-2032.
The Intelligent Park Assist Market size was valued at USD 7.22 Billion in 2022.