An Intelligent Parking Software Service is a software solution that incorporates IoT technologies such as sensing devices, cameras, or counting sensors to identify which parking area is occupied or available and often uses this sensor data to design a real-time parking map.
Such sensors communicate with the gateway and transfer the real-time data to the cloud. The availability of parking slots is then automatically demonstrated by vehicle detection sensors. It can also be seen on the software or app mounted on the available slots so that space can be quickly detected by the drivers.
The global IntelligentÌýParkingÌýSoftwareÌýService market was valued at US$ 1729 million in 2023 and is anticipated to reach US$ 3029 million by 2030, witnessing a CAGR of 8.2% during the forecast period 2024-2030.
North American market for IntelligentÌýParkingÌýSoftwareÌýService is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for IntelligentÌýParkingÌýSoftwareÌýService is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for IntelligentÌýParkingÌýSoftwareÌýService in Off-Street is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of IntelligentÌýParkingÌýSoftwareÌýService include Amano Corporation, Cubic Corporation, JIESHUN, Swarco AG, SKIDATA, Thales, KEYTOP, Yunex Traffic, CAME Parkare, Kapsch TrafficCom, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for IntelligentÌýParkingÌýSoftwareÌýService, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding IntelligentÌýParkingÌýSoftwareÌýService.
The IntelligentÌýParkingÌýSoftwareÌýService market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global IntelligentÌýParkingÌýSoftwareÌýService market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the IntelligentÌýParkingÌýSoftwareÌýService companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Âé¶¹Ô´´ Segmentation
By Company
Amano Corporation
Cubic Corporation
JIESHUN
Swarco AG
SKIDATA
Thales
KEYTOP
Yunex Traffic
CAME Parkare
Kapsch TrafficCom
SpotHero
Hangzhou Reformer
Smart Parking
Bisen Smart Access
Parkbee
Guangdong AKE Parking Technology
Bluecard Technologies
ETCP
Segment by Type
Fee Charge Service
Parking Finding Service
Segment by Application
Off-Street
On-Street
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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: Introduces executive summary of global market size, regional market size, 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 IntelligentÌýParkingÌýSoftwareÌýService company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size 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 market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Âé¶¹Ô´´ Analysis by Type
1.2.1 Global IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Fee Charge Service
1.2.3 Parking Finding Service
1.3 Âé¶¹Ô´´ by Application
1.3.1 Global IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Growth 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 IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Perspective (2019-2030)
2.2 Global IntelligentÌýParkingÌýSoftwareÌýService Growth Trends by Region
2.2.1 Global IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size by Region: 2019 VS 2023 VS 2030
2.2.2 IntelligentÌýParkingÌýSoftwareÌýService Historic Âé¶¹Ô´´ Size by Region (2019-2024)
2.2.3 IntelligentÌýParkingÌýSoftwareÌýService Forecasted Âé¶¹Ô´´ Size by Region (2025-2030)
2.3 IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Dynamics
2.3.1 IntelligentÌýParkingÌýSoftwareÌýService Industry Trends
2.3.2 IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Drivers
2.3.3 IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Challenges
2.3.4 IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Restraints
3 Competition Landscape by Key Players
3.1 Global Top IntelligentÌýParkingÌýSoftwareÌýService Players by Revenue
3.1.1 Global Top IntelligentÌýParkingÌýSoftwareÌýService Players by Revenue (2019-2024)
3.1.2 Global IntelligentÌýParkingÌýSoftwareÌýService Revenue Âé¶¹Ô´´ Share by Players (2019-2024)
3.2 Global IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by IntelligentÌýParkingÌýSoftwareÌýService Revenue
3.4 Global IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Concentration Ratio
3.4.1 Global IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by IntelligentÌýParkingÌýSoftwareÌýService Revenue in 2023
3.5 Global Key Players of IntelligentÌýParkingÌýSoftwareÌýService Head office and Area Served
3.6 Global Key Players of IntelligentÌýParkingÌýSoftwareÌýService, Product and Application
3.7 Global Key Players of IntelligentÌýParkingÌýSoftwareÌýService, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 IntelligentÌýParkingÌýSoftwareÌýService Breakdown Data by Type
4.1 Global IntelligentÌýParkingÌýSoftwareÌýService Historic Âé¶¹Ô´´ Size by Type (2019-2024)
4.2 Global IntelligentÌýParkingÌýSoftwareÌýService Forecasted Âé¶¹Ô´´ Size by Type (2025-2030)
5 IntelligentÌýParkingÌýSoftwareÌýService Breakdown Data by Application
5.1 Global IntelligentÌýParkingÌýSoftwareÌýService Historic Âé¶¹Ô´´ Size by Application (2019-2024)
5.2 Global IntelligentÌýParkingÌýSoftwareÌýService Forecasted Âé¶¹Ô´´ Size by Application (2025-2030)
6 North America
6.1 North America IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size (2019-2030)
6.2 North America IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size by Country (2019-2024)
6.4 North America IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size (2019-2030)
7.2 Europe IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size by Country (2019-2024)
7.4 Europe IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size (2019-2030)
8.2 Asia-Pacific IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size by Region (2019-2024)
8.4 Asia-Pacific IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size (2019-2030)
9.2 Latin America IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size by Country (2019-2024)
9.4 Latin America IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size (2019-2030)
10.2 Middle East & Africa IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size by Country (2019-2024)
10.4 Middle East & Africa IntelligentÌýParkingÌýSoftwareÌýService Âé¶¹Ô´´ Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
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 IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.1.4 Amano Corporation Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.1.5 Amano Corporation Recent Development
11.2 Cubic Corporation
11.2.1 Cubic Corporation Company Details
11.2.2 Cubic Corporation Business Overview
11.2.3 Cubic Corporation IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.2.4 Cubic Corporation Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.2.5 Cubic Corporation Recent Development
11.3 JIESHUN
11.3.1 JIESHUN Company Details
11.3.2 JIESHUN Business Overview
11.3.3 JIESHUN IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.3.4 JIESHUN Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.3.5 JIESHUN Recent Development
11.4 Swarco AG
11.4.1 Swarco AG Company Details
11.4.2 Swarco AG Business Overview
11.4.3 Swarco AG IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.4.4 Swarco AG Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.4.5 Swarco AG Recent Development
11.5 SKIDATA
11.5.1 SKIDATA Company Details
11.5.2 SKIDATA Business Overview
11.5.3 SKIDATA IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.5.4 SKIDATA Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.5.5 SKIDATA Recent Development
11.6 Thales
11.6.1 Thales Company Details
11.6.2 Thales Business Overview
11.6.3 Thales IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.6.4 Thales Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.6.5 Thales Recent Development
11.7 KEYTOP
11.7.1 KEYTOP Company Details
11.7.2 KEYTOP Business Overview
11.7.3 KEYTOP IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.7.4 KEYTOP Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.7.5 KEYTOP Recent Development
11.8 Yunex Traffic
11.8.1 Yunex Traffic Company Details
11.8.2 Yunex Traffic Business Overview
11.8.3 Yunex Traffic IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.8.4 Yunex Traffic Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.8.5 Yunex Traffic Recent Development
11.9 CAME Parkare
11.9.1 CAME Parkare Company Details
11.9.2 CAME Parkare Business Overview
11.9.3 CAME Parkare IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.9.4 CAME Parkare Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.9.5 CAME Parkare Recent Development
11.10 Kapsch TrafficCom
11.10.1 Kapsch TrafficCom Company Details
11.10.2 Kapsch TrafficCom Business Overview
11.10.3 Kapsch TrafficCom IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.10.4 Kapsch TrafficCom Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.10.5 Kapsch TrafficCom Recent Development
11.11 SpotHero
11.11.1 SpotHero Company Details
11.11.2 SpotHero Business Overview
11.11.3 SpotHero IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.11.4 SpotHero Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.11.5 SpotHero Recent Development
11.12 Hangzhou Reformer
11.12.1 Hangzhou Reformer Company Details
11.12.2 Hangzhou Reformer Business Overview
11.12.3 Hangzhou Reformer IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.12.4 Hangzhou Reformer Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.12.5 Hangzhou Reformer Recent Development
11.13 Smart Parking
11.13.1 Smart Parking Company Details
11.13.2 Smart Parking Business Overview
11.13.3 Smart Parking IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.13.4 Smart Parking Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.13.5 Smart Parking Recent Development
11.14 Bisen Smart Access
11.14.1 Bisen Smart Access Company Details
11.14.2 Bisen Smart Access Business Overview
11.14.3 Bisen Smart Access IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.14.4 Bisen Smart Access Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.14.5 Bisen Smart Access Recent Development
11.15 Parkbee
11.15.1 Parkbee Company Details
11.15.2 Parkbee Business Overview
11.15.3 Parkbee IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.15.4 Parkbee Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.15.5 Parkbee Recent Development
11.16 Guangdong AKE Parking Technology
11.16.1 Guangdong AKE Parking Technology Company Details
11.16.2 Guangdong AKE Parking Technology Business Overview
11.16.3 Guangdong AKE Parking Technology IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.16.4 Guangdong AKE Parking Technology Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.16.5 Guangdong AKE Parking Technology Recent Development
11.17 Bluecard Technologies
11.17.1 Bluecard Technologies Company Details
11.17.2 Bluecard Technologies Business Overview
11.17.3 Bluecard Technologies IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.17.4 Bluecard Technologies Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.17.5 Bluecard Technologies Recent Development
11.18 ETCP
11.18.1 ETCP Company Details
11.18.2 ETCP Business Overview
11.18.3 ETCP IntelligentÌýParkingÌýSoftwareÌýService Introduction
11.18.4 ETCP Revenue in IntelligentÌýParkingÌýSoftwareÌýService Business (2019-2024)
11.18.5 ETCP Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Âé¶¹Ô´´ Size Estimation
13.1.1.3 Âé¶¹Ô´´ Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Amano Corporation
Cubic Corporation
JIESHUN
Swarco AG
SKIDATA
Thales
KEYTOP
Yunex Traffic
CAME Parkare
Kapsch TrafficCom
SpotHero
Hangzhou Reformer
Smart Parking
Bisen Smart Access
Parkbee
Guangdong AKE Parking Technology
Bluecard Technologies
ETCP
Ìý
Ìý
*If Applicable.