Global Crowdsourced Smart Parking Market Insights, Forecast to 2025

Crowdsourced Smart Parking in this report analyzed the smart parking system.
Smart parking system is new technologies that are enabling cities to reduce levels of congestion significantly. These systems provide real-time parking availability information to make it easier for drivers to find a parking space.
The global average price of Crowdsourced Smart Parking is stable from 2011 to 2015. With the situation of global economy, prices will be in slowly decreasing trend in the following five years.
The North American smart parking system market accounted for over 26%of the global market share in 2015. The need for minimizing traffic congestion, owing to the increasing number of vehicles in the U.S. and Canada, is expected to trigger demand for efficient parking management systems.
Global Crowdsourced Smart Parking market size will reach 430 million US$ by 2025, from 220 million US$ in 2018, at a CAGR of 8.5% during the forecast period. In this study, 2018 has been considered as the base year and 2019-2025 as the forecast period to estimate the market size for Crowdsourced Smart Parking.

This industry study presents the global Crowdsourced Smart Parking market size, historical breakdown data (2014-2019) and forecast (2019-2025). The Crowdsourced Smart Parking production, revenue and market share by manufacturers, key regions and type;
The consumption of Crowdsourced Smart Parking in volume terms are also provided for major countries (or regions), and for each application and product at the global level. Market share, growth rate, and competitive factors are also evaluated for market leaders 3M, Amano Corporation, etc.

The following manufacturers are covered in this report:
Amano Corporation
Cubic Corporation
Kapsch TrafficCom AG
Nortech Control Systems Limited
Swarco AG
Xerox Corporation

Crowdsourced Smart Parking Breakdown Data by Type
On- street
Crowdsourced Smart Parking Breakdown Data by Application
Commercial Use
Residential Use
Government Use

Crowdsourced Smart Parking Production by Region
United States
South Korea
Other Regions

Crowdsourced Smart Parking Consumption by Region
North America
United States
South Korea
Rest of Europe
Central & South America
Rest of South America
Middle East & Africa
GCC Countries
South Africa
Rest of Middle East & Africa

The study objectives are:
To analyze and research the global Crowdsourced Smart Parking status and future forecast,involving, production, revenue, consumption, historical and forecast.
To present the key Crowdsourced Smart Parking manufacturers, production, revenue, market share, SWOT analysis and development plans in next few years.
To segment the breakdown data by regions, type, manufacturers and applications.
To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends, drivers, influence factors in global and regions.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market.
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

In this study, the years considered to estimate the market size of Crowdsourced Smart Parking :
History Year: 2014 - 2018
Base Year: 2018
Estimated Year: 2019
Forecast Year: 2019 - 2025

This report includes the estimation of market size for value (million USD) and volume (Sets). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Crowdsourced Smart Parking market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.

For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.