Research Summary
Intelligent parking refers to the use of advanced technologies like sensors, cameras, IoT, and AI to optimize the process of finding, reserving, and managing parking spaces. This system gathers real-time data on parking availability and guides drivers to open spots, reducing congestion and saving time. It often integrates with mobile apps, allowing users to reserve spaces, make digital payments, and receive updates. Intelligent parking systems can also include features like automated entry and exit, license plate recognition, and dynamic pricing based on demand. These solutions are commonly implemented in urban areas, airports, and commercial facilities to improve efficiency, enhance user convenience, and reduce environmental impact through decreased idle vehicle emissions.
According to DIResearch's in-depth investigation and research, the global Intelligent Parking market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.
The major global manufacturers of Intelligent Parking include Amano Corporation, Cubic Corporation, JIESHUN, Swarco AG, SKIDATA, Thales, KEYTOP, Yunex Traffic, CAME Parkare, Kapsch TrafficCom, SpotHero, ETCP, Hangzhou Reformer, Smart Parking, Parkbee, Vision-zenith, Bluecard Technologies etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Intelligent Parking. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Intelligent Parking market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Intelligent Parking market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Intelligent Parking industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Intelligent Parking Include:
Amano Corporation
Cubic Corporation
JIESHUN
Swarco AG
SKIDATA
Thales
KEYTOP
Yunex Traffic
CAME Parkare
Kapsch TrafficCom
SpotHero
ETCP
Hangzhou Reformer
Smart Parking
Parkbee
Vision-zenith
Bluecard Technologies
Intelligent Parking Product Segment Include:
Intelligent Parking Equipment
Intelligent Parking Software & Service
Intelligent Parking Product Application Include:
Off-Street
On-Street
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends
Chapter 2: Global Intelligent Parking Industry PESTEL Analysis
Chapter 3: Global Intelligent Parking Industry Porter’s Five Forces Analysis
Chapter 4: Global Intelligent Parking Major Regional Market Size and Forecast Analysis
Chapter 5: Global Intelligent Parking Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Passenger Intelligent Parking Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Intelligent Parking Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Intelligent Parking Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Intelligent Parking Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Intelligent Parking Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Intelligent Parking Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Intelligent Parking Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
- 1 Intelligent Parking Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Intelligent Parking Product by Type
- 1.2.1 Intelligent Parking Equipment
- 1.2.2 Intelligent Parking Software & Service
- 1.3 Intelligent Parking Product by Application
- 1.3.1 Off-Street
- 1.3.2 On-Street
- 1.4 Global Intelligent Parking Market Size Analysis (2020-2032)
- 1.5 Intelligent Parking Market Development Status and Trends
- 1.5.1 Intelligent Parking Industry Development Status Analysis
- 1.5.2 Intelligent Parking Industry Development Trends Analysis
- 2 Intelligent Parking Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 Intelligent Parking Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global Intelligent Parking Market Analysis by Regions
- 4.1 Global Intelligent Parking Overall Market: 2024 VS 2025 VS 2032
- 4.2 Global Intelligent Parking Revenue and Forecast Analysis (2020-2032)
- 4.2.1 Global Intelligent Parking Revenue and Market Share by Region (2020-2025)
- 4.2.2 Global Intelligent Parking Revenue Forecast by Region (2026-2032)
- 5 Global Intelligent Parking Market Size by Type and Application
- 5.1 Global Intelligent Parking Market Size by Type (2020-2032)
- 5.2 Global Intelligent Parking Market Size by Application (2020-2032)
- 6 North America
- 6.1 North America Intelligent Parking Market Size and Growth Rate Analysis (2020-2032)
- 6.2 North America Key Manufacturers Analysis
- 6.3 North America Intelligent Parking Market Size by Type
- 6.4 North America Intelligent Parking Market Size by Application
- 6.5 North America Intelligent Parking Market Size by Country
- 6.5.1 US
- 6.5.2 Canada
- 7 Europe
- 7.1 Europe Intelligent Parking Market Size and Growth Rate Analysis (2020-2032)
- 7.2 Europe Key Manufacturers Analysis
- 7.3 Europe Intelligent Parking Market Size by Type
- 7.4 Europe Intelligent Parking Market Size by Application
- 7.5 Europe Intelligent Parking Market Size by Country
- 7.5.1 Germany
- 7.5.2 France
- 7.5.3 United Kingdom
- 7.5.4 Italy
- 7.5.5 Spain
- 7.5.6 Benelux
- 8 China
- 8.1 China Intelligent Parking Market Size and Growth Rate Analysis (2020-2032)
- 8.2 China Key Manufacturers Analysis
- 8.3 China Intelligent Parking Market Size by Type
- 8.4 China Intelligent Parking Market Size by Application
- 9 APAC (excl. China)
- 9.1 APAC (excl. China) Intelligent Parking Market Size and Growth Rate Analysis (2020-2032)
- 9.2 APAC (excl. China) Key Manufacturers Analysis
- 9.3 APAC (excl. China) Intelligent Parking Market Size by Type
- 9.4 APAC (excl. China) Intelligent Parking Market Size by Application
- 9.5 APAC (excl. China) Intelligent Parking Market Size by Country
- 9.5.1 Japan
- 9.5.2 South Korea
- 9.5.3 India
- 9.5.4 Australia
- 9.5.5 Southeast Asia
- 10 Latin America
- 10.1 Latin America Intelligent Parking Market Size and Growth Rate Analysis (2020-2032)
- 10.2 Latin America Key Manufacturers Analysis
- 10.3 Latin America Intelligent Parking Market Size by Type
- 10.4 Latin America Intelligent Parking Market Size by Application
- 10.5 Latin America Intelligent Parking Market Size by Country
- 10.5.1 Mexico
- 10.5.2 Brazil
- 11 Middle East & Africa
- 11.1 Middle East & Africa Intelligent Parking Market Size and Growth Rate Analysis (2020-2032)
- 11.2 Middle East & Africa Key Manufacturers Analysis
- 11.3 Middle East & Africa Intelligent Parking Market Size by Type
- 11.4 Middle East & Africa Intelligent Parking Market Size by Application
- 11.5 Middle East & Africa Intelligent Parking Market Size by Country
- 11.5.1 Saudi Arabia
- 11.5.2 South Africa
- 12 Competition by Manufacturers
- 12.1 Global Intelligent Parking Market Revenue by Key Manufacturers (2021-2025)
- 12.2 Intelligent Parking Competitive Landscape Analysis and Market Dynamic
- 12.2.1 Intelligent Parking Competitive Landscape Analysis
- 12.2.2 Global Key Manufacturers Headquarter Location and Key Area Sales
- 12.2.3 Market Dynamic
- 13 Key Companies Analysis
- 13.1 Amano Corporation
- 13.1.1 Amano Corporation Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.1.2 Amano Corporation Intelligent Parking Product Portfolio
- 13.1.3 Amano Corporation Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.2 Cubic Corporation
- 13.2.1 Cubic Corporation Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.2.2 Cubic Corporation Intelligent Parking Product Portfolio
- 13.2.3 Cubic Corporation Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.3 JIESHUN
- 13.3.1 JIESHUN Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.3.2 JIESHUN Intelligent Parking Product Portfolio
- 13.3.3 JIESHUN Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.4 Swarco AG
- 13.4.1 Swarco AG Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.4.2 Swarco AG Intelligent Parking Product Portfolio
- 13.4.3 Swarco AG Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.5 SKIDATA
- 13.5.1 SKIDATA Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.5.2 SKIDATA Intelligent Parking Product Portfolio
- 13.5.3 SKIDATA Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.6 Thales
- 13.6.1 Thales Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.6.2 Thales Intelligent Parking Product Portfolio
- 13.6.3 Thales Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.7 KEYTOP
- 13.7.1 KEYTOP Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.7.2 KEYTOP Intelligent Parking Product Portfolio
- 13.7.3 KEYTOP Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.8 Yunex Traffic
- 13.8.1 Yunex Traffic Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.8.2 Yunex Traffic Intelligent Parking Product Portfolio
- 13.8.3 Yunex Traffic Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.9 CAME Parkare
- 13.9.1 CAME Parkare Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.9.2 CAME Parkare Intelligent Parking Product Portfolio
- 13.9.3 CAME Parkare Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.10 Kapsch TrafficCom
- 13.10.1 Kapsch TrafficCom Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.10.2 Kapsch TrafficCom Intelligent Parking Product Portfolio
- 13.10.3 Kapsch TrafficCom Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.11 SpotHero
- 13.11.1 SpotHero Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.11.2 SpotHero Intelligent Parking Product Portfolio
- 13.11.3 SpotHero Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.12 ETCP
- 13.12.1 ETCP Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.12.2 ETCP Intelligent Parking Product Portfolio
- 13.12.3 ETCP Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.13 Hangzhou Reformer
- 13.13.1 Hangzhou Reformer Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.13.2 Hangzhou Reformer Intelligent Parking Product Portfolio
- 13.13.3 Hangzhou Reformer Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.14 Smart Parking
- 13.14.1 Smart Parking Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.14.2 Smart Parking Intelligent Parking Product Portfolio
- 13.14.3 Smart Parking Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.15 Parkbee
- 13.15.1 Parkbee Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.15.2 Parkbee Intelligent Parking Product Portfolio
- 13.15.3 Parkbee Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.16 Vision-zenith
- 13.16.1 Vision-zenith Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.16.2 Vision-zenith Intelligent Parking Product Portfolio
- 13.16.3 Vision-zenith Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.17 Bluecard Technologies
- 13.17.1 Bluecard Technologies Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.17.2 Bluecard Technologies Intelligent Parking Product Portfolio
- 13.17.3 Bluecard Technologies Intelligent Parking Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 14 Industry Chain Analysis
- 14.1 Intelligent Parking Industry Chain Analysis
- 14.2 Intelligent Parking Industry Raw Material and Suppliers Analysis
- 14.2.1 Intelligent Parking Key Raw Material Supply Analysis
- 14.2.2 Raw Material Suppliers and Contact Information
- 14.3 Intelligent Parking Typical Downstream Customers
- 14.4 Intelligent Parking Sales Channel Analysis
- 15 Research Findings and Conclusion
- 16 Methodology and Data Source
- 16.1 Methodology/Research Approach
- 16.2 Research Scope
- 16.3 Benchmarks and Assumptions
- 16.4 Date Source
- 16.4.1 Primary Sources
- 16.4.2 Secondary Sources
- 16.5 Data Cross Validation
- 16.6 Disclaimer
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