
Intelligent parking refers to the comprehensive application of wireless communication technology, mobile terminal technology, GPS positioning technology, GIS technology, etc. to the collection, management, query, reservation and navigation services of urban parking spaces to realize real-time update, query, reservation and navigation of parking space resources. The integration of navigation services can maximize the utilization of parking space resources, maximize the profit of the parking lot and optimize the parking service for car owners.
Âé¶¹Ô´´ Analysis and Insights: Global Intelligent Parking Âé¶¹Ô´´
The global Intelligent Parking market is projected to grow from US$ 4327.4 million in 2024 to US$ 10010 million by 2030, at a Compound Annual Growth Rate (CAGR) of 15.0% during the forecast period.
GlobalÌýtop 5 playersÌýofÌýIntelligent Parking occupied for 29% ofÌýtheÌýmarket,Ìýincluding Amano Corporation, Cubic Corporation, Swarco AG, JIESHUN, SKIDATA. Asia-Pacific isÌýtheÌýlargestÌýmarketÌýof Intelligent Parking,ÌýholdingÌýaÌýshareÌýover 35% . Then North America takesÌý31%. InÌýtermsÌýofÌýtype,ÌýIntelligent Parking Equipment sharesÌýoverÌý62% ofÌýtheÌýmarket,Ìýwhile Intelligent Parking Software Service shares 38%. InÌýtermsÌýofÌýapplication, Off-Street sharesÌýtheÌýlargestÌýpercentÌýofÌýnearly 74%.
Report Covers:
This report presents an overview of global market for Intelligent Parking market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Intelligent Parking, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Intelligent Parking, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Intelligent Parking revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Intelligent Parking market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Intelligent Parking revenue, projected growth trends, production technology, application and end-user industry.
Âé¶¹Ô´´ Segmentation
By Company
Amano Corporation
Cubic Corporation
Swarco AG
JIESHUN
SKIDATA
Thales
KEYTOP
ETCP
CAME Parkare
Kapsch TrafficCom
Yunex Traffic
Hangzhou Reformer
SpotHero
Vision-zenith
Smart Parking
Parkbees
Bluecard Technologies
Segment by Type
Intelligent Parking Equipment
Intelligent Parking Software & Service
Segment by Application
Off-Street
On-Street
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Intelligent Parking in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Intelligent Parking companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Intelligent Parking revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
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1 Report Overview
1.1 Study Scope
1.2 Âé¶¹Ô´´ Analysis by Type
1.2.1 Global Intelligent Parking Âé¶¹Ô´´ Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Intelligent Parking Equipment
1.2.3 Intelligent Parking Software & Service
1.3 Âé¶¹Ô´´ by Application
1.3.1 Global Intelligent Parking Âé¶¹Ô´´ Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Off-Street
1.3.3 On-Street
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Intelligent Parking Âé¶¹Ô´´ Perspective (2019-2030)
2.2 Global Intelligent Parking Growth Trends by Region
2.2.1 Intelligent Parking Âé¶¹Ô´´ Size by Region: 2019 VS 2023 VS 2030
2.2.2 Intelligent Parking Historic Âé¶¹Ô´´ Size by Region (2019-2024)
2.2.3 Intelligent Parking Forecasted Âé¶¹Ô´´ Size by Region (2025-2030)
2.3 Intelligent Parking Âé¶¹Ô´´ Dynamics
2.3.1 Intelligent Parking Industry Trends
2.3.2 Intelligent Parking Âé¶¹Ô´´ Drivers
2.3.3 Intelligent Parking Âé¶¹Ô´´ Challenges
2.3.4 Intelligent Parking Âé¶¹Ô´´ Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Intelligent Parking by Players
3.1.1 Global Intelligent Parking Revenue by Players (2019-2024)
3.1.2 Global Intelligent Parking Revenue Âé¶¹Ô´´ Share by Players (2019-2024)
3.2 Global Intelligent Parking Âé¶¹Ô´´ Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Intelligent Parking, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Intelligent Parking Âé¶¹Ô´´ Concentration Ratio
3.4.1 Global Intelligent Parking Âé¶¹Ô´´ Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Intelligent Parking Revenue in 2023
3.5 Global Key Players of Intelligent Parking Head office and Area Served
3.6 Global Key Players of Intelligent Parking, Product and Application
3.7 Global Key Players of Intelligent Parking, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Intelligent Parking Breakdown Data by Type
4.1 Global Intelligent Parking Historic Âé¶¹Ô´´ Size by Type (2019-2024)
4.2 Global Intelligent Parking Forecasted Âé¶¹Ô´´ Size by Type (2025-2030)
5 Intelligent Parking Breakdown Data by Application
5.1 Global Intelligent Parking Historic Âé¶¹Ô´´ Size by Application (2019-2024)
5.2 Global Intelligent Parking Forecasted Âé¶¹Ô´´ Size by Application (2025-2030)
6 North America
6.1 North America Intelligent Parking Âé¶¹Ô´´ Size (2019-2030)
6.2 North America Intelligent Parking Âé¶¹Ô´´ Size by Type
6.2.1 North America Intelligent Parking Âé¶¹Ô´´ Size by Type (2019-2024)
6.2.2 North America Intelligent Parking Âé¶¹Ô´´ Size by Type (2025-2030)
6.2.3 North America Intelligent Parking Âé¶¹Ô´´ Share by Type (2019-2030)
6.3 North America Intelligent Parking Âé¶¹Ô´´ Size by Application
6.3.1 North America Intelligent Parking Âé¶¹Ô´´ Size by Application (2019-2024)
6.3.2 North America Intelligent Parking Âé¶¹Ô´´ Size by Application (2025-2030)
6.3.3 North America Intelligent Parking Âé¶¹Ô´´ Share by Application (2019-2030)
6.4 North America Intelligent Parking Âé¶¹Ô´´ Size by Country
6.4.1 North America Intelligent Parking Âé¶¹Ô´´ Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Intelligent Parking Âé¶¹Ô´´ Size by Country (2019-2024)
6.4.3 North America Intelligent Parking Âé¶¹Ô´´ Size by Country (2025-2030)
6.4.4 United States
6.4.5 Canada
7 Europe
7.1 Europe Intelligent Parking Âé¶¹Ô´´ Size (2019-2030)
7.2 Europe Intelligent Parking Âé¶¹Ô´´ Size by Type
7.2.1 Europe Intelligent Parking Âé¶¹Ô´´ Size by Type (2019-2024)
7.2.2 Europe Intelligent Parking Âé¶¹Ô´´ Size by Type (2025-2030)
7.2.3 Europe Intelligent Parking Âé¶¹Ô´´ Share by Type (2019-2030)
7.3 Europe Intelligent Parking Âé¶¹Ô´´ Size by Application
7.3.1 Europe Intelligent Parking Âé¶¹Ô´´ Size by Application (2019-2024)
7.3.2 Europe Intelligent Parking Âé¶¹Ô´´ Size by Application (2025-2030)
7.3.3 Europe Intelligent Parking Âé¶¹Ô´´ Share by Application (2019-2030)
7.4 Europe Intelligent Parking Âé¶¹Ô´´ Size by Country
7.4.1 Europe Intelligent Parking Âé¶¹Ô´´ Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Intelligent Parking Âé¶¹Ô´´ Size by Country (2019-2024)
7.4.3 Europe Intelligent Parking Âé¶¹Ô´´ Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Intelligent Parking Âé¶¹Ô´´ Size (2019-2030)
8.2 China Intelligent Parking Âé¶¹Ô´´ Size by Type
8.2.1 China Intelligent Parking Âé¶¹Ô´´ Size by Type (2019-2024)
8.2.2 China Intelligent Parking Âé¶¹Ô´´ Size by Type (2025-2030)
8.2.3 China Intelligent Parking Âé¶¹Ô´´ Share by Type (2019-2030)
8.3 China Intelligent Parking Âé¶¹Ô´´ Size by Application
8.3.1 China Intelligent Parking Âé¶¹Ô´´ Size by Application (2019-2024)
8.3.2 China Intelligent Parking Âé¶¹Ô´´ Size by Application (2025-2030)
8.3.3 China Intelligent Parking Âé¶¹Ô´´ Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Intelligent Parking Âé¶¹Ô´´ Size (2019-2030)
9.2 Asia Intelligent Parking Âé¶¹Ô´´ Size by Type
9.2.1 Asia Intelligent Parking Âé¶¹Ô´´ Size by Type (2019-2024)
9.2.2 Asia Intelligent Parking Âé¶¹Ô´´ Size by Type (2025-2030)
9.2.3 Asia Intelligent Parking Âé¶¹Ô´´ Share by Type (2019-2030)
9.3 Asia Intelligent Parking Âé¶¹Ô´´ Size by Application
9.3.1 Asia Intelligent Parking Âé¶¹Ô´´ Size by Application (2019-2024)
9.3.2 Asia Intelligent Parking Âé¶¹Ô´´ Size by Application (2025-2030)
9.3.3 Asia Intelligent Parking Âé¶¹Ô´´ Share by Application (2019-2030)
9.4 Asia Intelligent Parking Âé¶¹Ô´´ Size by Region
9.4.1 Asia Intelligent Parking Âé¶¹Ô´´ Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Intelligent Parking Âé¶¹Ô´´ Size by Region (2019-2024)
9.4.3 Asia Intelligent Parking Âé¶¹Ô´´ Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Size (2019-2030)
10.2 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Size by Type
10.2.1 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Size by Application
10.3.1 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Size by Country
10.4.1 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Intelligent Parking Âé¶¹Ô´´ Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Amano Corporation
11.1.1 Amano Corporation Company Details
11.1.2 Amano Corporation Business Overview
11.1.3 Amano Corporation Intelligent Parking Introduction
11.1.4 Amano Corporation Revenue in Intelligent Parking Business (2019-2024)
11.1.5 Amano Corporation Recent Developments
11.2 Cubic Corporation
11.2.1 Cubic Corporation Company Details
11.2.2 Cubic Corporation Business Overview
11.2.3 Cubic Corporation Intelligent Parking Introduction
11.2.4 Cubic Corporation Revenue in Intelligent Parking Business (2019-2024)
11.2.5 Cubic Corporation Recent Developments
11.3 Swarco AG
11.3.1 Swarco AG Company Details
11.3.2 Swarco AG Business Overview
11.3.3 Swarco AG Intelligent Parking Introduction
11.3.4 Swarco AG Revenue in Intelligent Parking Business (2019-2024)
11.3.5 Swarco AG Recent Developments
11.4 JIESHUN
11.4.1 JIESHUN Company Details
11.4.2 JIESHUN Business Overview
11.4.3 JIESHUN Intelligent Parking Introduction
11.4.4 JIESHUN Revenue in Intelligent Parking Business (2019-2024)
11.4.5 JIESHUN Recent Developments
11.5 SKIDATA
11.5.1 SKIDATA Company Details
11.5.2 SKIDATA Business Overview
11.5.3 SKIDATA Intelligent Parking Introduction
11.5.4 SKIDATA Revenue in Intelligent Parking Business (2019-2024)
11.5.5 SKIDATA Recent Developments
11.6 Thales
11.6.1 Thales Company Details
11.6.2 Thales Business Overview
11.6.3 Thales Intelligent Parking Introduction
11.6.4 Thales Revenue in Intelligent Parking Business (2019-2024)
11.6.5 Thales Recent Developments
11.7 KEYTOP
11.7.1 KEYTOP Company Details
11.7.2 KEYTOP Business Overview
11.7.3 KEYTOP Intelligent Parking Introduction
11.7.4 KEYTOP Revenue in Intelligent Parking Business (2019-2024)
11.7.5 KEYTOP Recent Developments
11.8 ETCP
11.8.1 ETCP Company Details
11.8.2 ETCP Business Overview
11.8.3 ETCP Intelligent Parking Introduction
11.8.4 ETCP Revenue in Intelligent Parking Business (2019-2024)
11.8.5 ETCP Recent Developments
11.9 CAME Parkare
11.9.1 CAME Parkare Company Details
11.9.2 CAME Parkare Business Overview
11.9.3 CAME Parkare Intelligent Parking Introduction
11.9.4 CAME Parkare Revenue in Intelligent Parking Business (2019-2024)
11.9.5 CAME Parkare Recent Developments
11.10 Kapsch TrafficCom
11.10.1 Kapsch TrafficCom Company Details
11.10.2 Kapsch TrafficCom Business Overview
11.10.3 Kapsch TrafficCom Intelligent Parking Introduction
11.10.4 Kapsch TrafficCom Revenue in Intelligent Parking Business (2019-2024)
11.10.5 Kapsch TrafficCom Recent Developments
11.11 Yunex Traffic
11.11.1 Yunex Traffic Company Details
11.11.2 Yunex Traffic Business Overview
11.11.3 Yunex Traffic Intelligent Parking Introduction
11.11.4 Yunex Traffic Revenue in Intelligent Parking Business (2019-2024)
11.11.5 Yunex Traffic Recent Developments
11.12 Hangzhou Reformer
11.12.1 Hangzhou Reformer Company Details
11.12.2 Hangzhou Reformer Business Overview
11.12.3 Hangzhou Reformer Intelligent Parking Introduction
11.12.4 Hangzhou Reformer Revenue in Intelligent Parking Business (2019-2024)
11.12.5 Hangzhou Reformer Recent Developments
11.13 SpotHero
11.13.1 SpotHero Company Details
11.13.2 SpotHero Business Overview
11.13.3 SpotHero Intelligent Parking Introduction
11.13.4 SpotHero Revenue in Intelligent Parking Business (2019-2024)
11.13.5 SpotHero Recent Developments
11.14 Vision-zenith
11.14.1 Vision-zenith Company Details
11.14.2 Vision-zenith Business Overview
11.14.3 Vision-zenith Intelligent Parking Introduction
11.14.4 Vision-zenith Revenue in Intelligent Parking Business (2019-2024)
11.14.5 Vision-zenith Recent Developments
11.15 Smart Parking
11.15.1 Smart Parking Company Details
11.15.2 Smart Parking Business Overview
11.15.3 Smart Parking Intelligent Parking Introduction
11.15.4 Smart Parking Revenue in Intelligent Parking Business (2019-2024)
11.15.5 Smart Parking Recent Developments
11.16 Parkbees
11.16.1 Parkbees Company Details
11.16.2 Parkbees Business Overview
11.16.3 Parkbees Intelligent Parking Introduction
11.16.4 Parkbees Revenue in Intelligent Parking Business (2019-2024)
11.16.5 Parkbees Recent Developments
11.17 Bluecard Technologies
11.17.1 Bluecard Technologies Company Details
11.17.2 Bluecard Technologies Business Overview
11.17.3 Bluecard Technologies Intelligent Parking Introduction
11.17.4 Bluecard Technologies Revenue in Intelligent Parking Business (2019-2024)
11.17.5 Bluecard Technologies Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Amano Corporation
Cubic Corporation
Swarco AG
JIESHUN
SKIDATA
Thales
KEYTOP
ETCP
CAME Parkare
Kapsch TrafficCom
Yunex Traffic
Hangzhou Reformer
SpotHero
Vision-zenith
Smart Parking
Parkbees
Bluecard Technologies
Ìý
Ìý
*If Applicable.
