Global Vehicle Identity Recognition (VIR) Industry Outlook 2021: Overview, Opportunities, Key Companies and Forecast to 2027
Report Code: KNJ920386 No. of Pages: 147 Category: Automotive
Publisher: Date of Publish:
Publisher: Date of Publish:
Executive Summary
According to GRD Survey data, the global Vehicle Identity Recognition (VIR) market was valued at million US$ in 2020 and is expected to million US$ by the end of 2027, growing at a CAGR of % in the forecast period 2021 and 2027.
This report studies the Vehicle Identity Recognition (VIR) market dynamics from angles such as new entries, mergers and acquisitions, fundings, exit and major technology breakthroughs. Market performance is evaluated through market size (value and volume) by players, regions, product types and end industries. This report also studies the global market competition landscape, market drivers and trends, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.
Geographically, this report is segmented into several key regions, with sales, revenue, market share and growth Rate of Vehicle Identity Recognition (VIR) in these regions, from 2016 to 2027, covering
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Italy, Spain and Russia, etc.)
Asia-Pacific (China, Japan, Korea, Southeast Asia, India, Australia)
South America (Brazil, Argentina, Colombia, etc.)
Middle East and Africa (Turkey, Saudi Arabia, South Africa, etc.)
Market Snapshot, By Product Type
Mobile
Fixed
Portable
Market Snapshot, By Application
Traffic Management
Law Enforcement
Electronic Toll Collection
Parking Management
Others
Market Snapshot, By Region:
North America
United States
Canada
Mexico
Europe
Germany
France
UK
Italy
Russia
Spain
Asia Pacific
China
Japan
Korea
Southeast Asia
India
Australia
Central & South America
Brazil
Argentina
Colombia
Middle East & Africa
Iran
South Africa
Israel
Turkey
Saudi Arabia
Main Market Players Analyzed in this report, including:
Vivotek
Tattile
TagMaster
Survision
Siemens
Rekor
Q-free (Dacolian)
Petards Group
Perceptics
ParkingEye Limited
Neology
Nedap
NDI Recognition Systems
MAV Systems
Leonardo Company
Kapsch TrafficCom
Jenoptik
Inex Tech
HTS
GeoVision
Genetec
Digital Recognition Systems
Bosch Security Systems
Arvoo Imaging Products
ARH
The study objectives of this report are:
To study and analyze the global Vehicle Identity Recognition (VIR) market size (value & volume) by company, key regions/countries, products and application, history data from 2016 to 2020, and forecast to 2027.
To understand industry structure of Vehicle Identity Recognition (VIR) market by identifying its various subsegments.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To identify the key global Vehicle Identity Recognition (VIR) manufacturers and regional typical players, to define, describe and analyze their sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Vehicle Identity Recognition (VIR) market with respect to individual growth trends, future prospects, and their contribution to the total market.
To project the value and volume of Vehicle Identity Recognition (VIR) submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
In this study, the years considered to estimate the market size of Vehicle Identity Recognition (VIR) are as follows:
History Year: 2016-2020
Base Year: 2020
Estimated Year: 2021
Forecast Year 2021 to 2027
This report includes the estimation of market size in terms of value (million USD) and volume from top-down approach by analyzing major submarkets and their major driving factors, and verified from bottom-up approaches. 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 from primary sources.
For the data information by region, company, type and application, 2020 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Key Stakeholders Considered in the study:
Raw material vendors
Distributors/traders/wholesalers/suppliers
Regulatory authorities, including government agencies and NGO
Commercial research & development (R&D) institutions
Importers and exporters
Government organizations, research organizations, and consulting firms
Trade/Industrial associations
End-use industries
Table of Contents
1 Market Definition & Scope
1.1 Definition & Scope
1.2 Vehicle Identity Recognition (VIR) Product Specifications
1.3 Main Events (Entry, M&A, Exit, Technology and Capital Activity)
1.4 Global Vehicle Identity Recognition (VIR) Market Performance and Outlook
2 Market Development Performance under COVID-19
2.1 Influencing Factors of Industry Development in the Next Five Years
2.1.1 Drivers
2.1.2 Restraints
2.1.3 Opportunities
2.2 Porter’s Five Forces Analysis
2.3 Comparison of Alternatives and Vehicle Identity Recognition (VIR)
3 Supply Chain and Manufacturing Cost Analysis
3.1 Supply Chain Analysis
3.2 Raw Materials and Key Suppliers Analysis
3.2.1 Raw Materials Introduction
3.2.1 Raw Materials Key Suppliers List
3.3 Vehicle Identity Recognition (VIR) Sales Channel and Distributors Analysis
3.3.1 Vehicle Identity Recognition (VIR) Sales Channel
3.3.2 Vehicle Identity Recognition (VIR) Distributors
3.4 Key Buying Industries/Consumers
3.4.1 Major Buyers in Traffic Management
3.4.2 Major Buyers in Law Enforcement
3.5 Vehicle Identity Recognition (VIR) Manufacturing Cost Structure Analysis
4 Market Segment: by Type
4.1 Vehicle Identity Recognition (VIR) Type Introduction
4.1.1 Mobile
4.1.2 Fixed
4.1.3 Portable
4.2 Global Vehicle Identity Recognition (VIR) Sales by Type 2016-2021
4.3 Global Vehicle Identity Recognition (VIR) Revenue by Type 2016-2021
4.4 Global Vehicle Identity Recognition (VIR) Price by Type 2016-2021
5 Market Segment: by Application
5.1 Vehicle Identity Recognition (VIR) Type Introduction
5.1.1 Traffic Management
5.1.2 Law Enforcement
5.1.3 Electronic Toll Collection
5.1.3 Parking Management
5.1.4 Others
5.2 Global Vehicle Identity Recognition (VIR) Sales by Application 2016-2021
5.3 Global Vehicle Identity Recognition (VIR) Revenue by Application 2016-2021
5.4 Global Vehicle Identity Recognition (VIR) Price by Application 2016-2021
6 Marke Segment: by Region
6.1 Global Vehicle Identity Recognition (VIR) Market by Region
6.1.1 Global Vehicle Identity Recognition (VIR) Sales by Regions
6.1.2 Global Vehicle Identity Recognition (VIR) Revenue by Regions
6.2 North America Vehicle Identity Recognition (VIR) Market 2016-2021
6.3 Europe Vehicle Identity Recognition (VIR) Market 2016-2021
6.4 Asia Pacific Vehicle Identity Recognition (VIR) Market 2016-2021
6.5 South America Vehicle Identity Recognition (VIR) Market 2016-2021
6.6 Middle East and Africa Vehicle Identity Recognition (VIR) Market 2016-2021
7 North America
7.1 North America Vehicle Identity Recognition (VIR) Market by Country 2016-2021
7.1.1 North America Vehicle Identity Recognition (VIR) Sales by Country
7.1.2 North America Vehicle Identity Recognition (VIR) Revenue by Country
7.2 United States
7.3 Canada
7.4 Mexico
8 Europe
8.1 Europe Vehicle Identity Recognition (VIR) Market by Country 2016-2021
8.1.1 Europe Vehicle Identity Recognition (VIR) Sales by Country
8.1.2 Europe Vehicle Identity Recognition (VIR) Revenue by Country
8.2 Germany
8.3 France
8.4 UK
8.5 Italy
8.6 Russia
8.7 Spain
9 Asia Pacific
9.1 Asia Pacific Vehicle Identity Recognition (VIR) Market by Country 2016-2021
9.1.1 Asia Pacific Vehicle Identity Recognition (VIR) Sales by Country
9.1.2 Asia Pacific Vehicle Identity Recognition (VIR) Revenue by Country
9.2 China
9.3 Japan
9.4 Korea
9.5 Southeast Asia
9.6 India
9.7 Australia
10 South America
10.1 South America Vehicle Identity Recognition (VIR) Market by Country 2016-2021
10.1.1 South America Vehicle Identity Recognition (VIR) Sales by Country
10.1.2 South America Vehicle Identity Recognition (VIR) Revenue by Country
10.2 Brazil
10.3 Argentina
10.4 Colombia
11 Middle East and Africa
11.1 Middle East and Africa Vehicle Identity Recognition (VIR) Market by Country 2016-2021
11.1.1 Middle East and Africa Vehicle Identity Recognition (VIR) Sales by Country
11.1.2 Middle East and Africa Vehicle Identity Recognition (VIR) Revenue by Country
11.2 Turkey
11.3 Saudi Arabia
11.4 South Africa
12 Key Participants Company Information
12.1 Vivotek
12.1.1 Vivotek
Company Information
12.1.2 Vivotek
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.1.3 Vivotek
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.1.4 Vivotek
Key Development
12.2 Tattile
12.2.1 Tattile
Company Information
12.2.2 Tattile
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.2.3 Tattile
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.2.4 Tattile
Key Development
12.3 TagMaster
12.3.1 TagMaster
Company Information
12.3.2 TagMaster
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.3.3 TagMaster
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.3.4 TagMaster
Key Development
12.4 Survision
12.4.1 Survision
Company Information
12.4.2 Survision
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.4.3 Survision
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.4.4 Survision
Key Development
12.5 Siemens
12.5.1 Siemens
Company Information
12.5.2 Siemens
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.5.3 Siemens
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.5.4 Siemens
Key Development
12.6 Rekor
12.6.1 Rekor
Company Information
12.6.2 Rekor
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.6.3 Rekor
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.6.4 Rekor
Key Development
12.7 Q-free (Dacolian)
12.7.1 Q-free (Dacolian)
Company Information
12.7.2 Q-free (Dacolian)
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.7.3 Q-free (Dacolian)
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.7.4 Rekor
Key Development
12.9 Perceptics
12.9.1 Perceptics
Company Information
12.9.2 Perceptics
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.9.3 Perceptics
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.9.4 Perceptics
Key Development
12.8 Petards Group
12.8.1 Petards Group
Company Information
12.8.2 Petards Group
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.8.3 Petards Group
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.8.4 Petards Group
Key Development
12.11 Neology
12.11.1 Neology
Company Information
12.11.2 Neology
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.11.3 Neology
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.11.4 Neology
Key Development
12.12 Nedap
12.12.1 Nedap
Company Information
12.12.2 Nedap
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.12.3 Nedap
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.12.4 Nedap
Key Development
12.13 NDI Recognition Systems
12.13.1 NDI Recognition Systems
Company Information
12.13.2 NDI Recognition Systems
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.13.3 NDI Recognition Systems
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.13.4 NDI Recognition Systems
Key Development
12.14 MAV Systems
12.14.1 MAV Systems
Company Information
12.14.2 MAV Systems
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.14.3 MAV Systems
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.14.4 MAV Systems
Key Development
12.15 Leonardo Company
12.15.1 Leonardo Company
Company Information
12.15.2 Leonardo Company
Vehicle Identity Recognition (VIR) Product Portfolio, Specification and Application
12.15.3 Leonardo Company
Vehicle Identity Recognition (VIR) Sales, Price, Revenue and Gross Margin (2019-2021)
12.15.4 Leonardo Company
Key Development
12.17 Jenoptik
12.18 Inex Tech
12.19 HTS
12.20 GeoVision
12.21 Genetec
12.22 Digital Recognition Systems
12.23 Bosch Security Systems
12.24 Arvoo Imaging Products
12.25 ARH
13 Global Vehicle Identity Recognition (VIR) Market Forecast by Region by Type and by Application
13.1 Global Vehicle Identity Recognition (VIR) Sales, Revenue Forecast 2022-2027
13.2 Global Vehicle Identity Recognition (VIR) Forecast by Regions
13.2.1 Global Vehicle Identity Recognition (VIR) Sales Forecast by Region 2022-2027
13.2.2 Global Vehicle Identity Recognition (VIR) Revenue Forecast by Region 2022-2027
13.3 Global Vehicle Identity Recognition (VIR) Forecast by Type
13.3.1 Global Vehicle Identity Recognition (VIR) Sales Forecast by Type 2022-2027
13.3.2 Global Vehicle Identity Recognition (VIR) Revenue Forecast by Type 2022-2027
13.3.3 Global Vehicle Identity Recognition (VIR) Price Forecast by Type 2022-2027
13.4 Global Vehicle Identity Recognition (VIR) Forecast by Application
13.4.1 Global Vehicle Identity Recognition (VIR) Sales Forecast by Application 2022-2027
13.4.2 Global Vehicle Identity Recognition (VIR) Revenue Forecast by Application 2022-2027
13.4.3 Global Vehicle Identity Recognition (VIR) Price Forecast by Application 2022-2027
14 Analyst Views and Conclusions
15 Methodology and Data Source
15.1 Methodology
15.2 Research Data Source
15.2.1 Secondary Data
15.2.2 Primary Data
15.2.3 Market Size Estimation
15.3 Legal Disclaimer
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