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Real Time Parking System Market Size, Share, Trends Analysis And Outlook By 2033
Real Time Parking System Market
As per the report, the real time parking system market size has grown rapidly in recent years. It will grow from $6.61 billion in 2023 to $7.84 billion in 2024 at a compound annual growth rate (CAGR) of 18.5%. The real time parking system market size is expected to see rapid growth in the next few years. It will grow to $15.51 billion in 2028 at a compound annual growth rate (CAGR) of 18.6%.
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Impact of Electric Vehicle Adoption on Real-Time Parking Systems
The rise in popularity of electric vehicles requiring charging infrastructure is expected to propel the growth of the real-time parking system market going forward. Electric vehicles (EVs) are automobiles powered primarily by electricity stored in batteries instead of gasoline or diesel fuel. The rise in popularity of electric vehicles is due to advancements in technology, environmental awareness, government incentives, lower operating costs, and shifting consumer preferences towards sustainable transportation options. A real-time parking system helps electric vehicles requiring charging infrastructure by providing accurate information on available charging stations and their availability, reducing the time spent searching for suitable charging spots and minimizing downtime. For instance, in March 2022, according to the US Department of Energy, a US-based government department representing US national energy policy and energy production, sales of electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) nearly doubled, rising from 308,000 units in 2020 to 608,000 units in 2021, with electric vehicle sales alone growing by 85% from 2020 to 2021. Therefore, the rise in popularity of electric vehicles requiring charging infrastructure will drive the real-time parking systems market.
Advancements in AI Technology Revolutionize Real-Time Parking Systems
Major companies operating in the real-time parking system market are focusing on advancements in technologies, such as artificial intelligence (AI) in real-time parking systems, to improve the efficiency and accuracy of parking management and enhance the user experience through predictive analytics and automated guidance. AI-based real-time parking system utilizes sensors and cameras to monitor parking spaces, providing up-to-the-minute information on availability. This helps predict open spots and direct drivers to them quickly. For instance, in September 2023, Park360, an India-based IT services and IT consulting company launched the AI-based vehicle authorization system. This system utilizes standard IP-based cameras to detect objects such as vehicles, license plates, and parking spaces. It extracts vehicle numbers for authorization and payment purposes, allowing seamless entry and exit from any premises without requiring manual intervention.
The real time parking system market covered in this report is segmented -
1) By Type: Software, Hardware, Services
2) By Location: On-Street, Off-Street, Other Locations
3) By Application: Commercial, Personal, Transport And Aviation, Government, Other Applications
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Major companies operating in the real time parking system market are Siemens AG, Cisco Systems Inc., Thales Group, TKH Group NV, Cubic Corporation, SWARCO AG, Amano Corporation, Flowbird Group, FlashParking Inc., INRIX Inc., T2 Systems Inc., Designa, Parkmobile LLC, IPS Group Inc., Klaus Multiparking Systems Pvt Ltd, Altiux Innovations Pvt. Ltd., Smart Parking Limited , Streetline Inc., IEM SA, ParkWhiz API, Came Parkare, Parknav, Robotic Parking Systems Inc., AppyWay, AJ Dongyang Menics Co. LTD.
Contents of the report:
1. Executive Summary
2. Real Time Parking System Market Report Structure
3. Real Time Parking System Market Trends And Strategies
4. Real Time Parking System Market - Macro Economic Scenario
5. Real Time Parking System Market Size And Growth
…..
27. Real Time Parking System Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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