Global Automatic Number Plate Recognition (ANPR) Market 2014-2018

NEW YORK, Jan. 21, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Global Automatic Number Plate Recognition (ANPR) Market 2014-2018
http://www.reportlinker.com/p01941957/Global-Automatic-Number-Plate-Recognition-ANPR-Market-2014-2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Marketing

TechNavio's analysts forecast the Global Automatic Number Plate Recognition market to grow at a CAGR of 14.12 percent over the period 2013-2018. One of the key factors contributing to this market growth is growing demand for improved security. The Global Automatic Number Plate Recognition market has also been witnessing immense advancement in technology. However, the growing intrusion of privacy could pose a challenge to the growth of this market.

TechNavio's report, the Global Automatic Number Plate Recognition Market 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the Americas, and the EMEA and APAC regions; it also covers the Global Automatic Number Plate Recognition market landscape and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors dominating this space are Q-Free ASA, ARH Inc., Vigilant Solutions Inc., NDI Recognitions Systems Ltd., and Elsag North America LLC

Other vendors mentioned in the report are 3M Co., CA Traffic Ltd., Captec Ltd., ClearView Communications, COBAN Technologies Inc., DTK Software, FLIR Systems, Gtechna Inc., HP Autonomy, Image Sensing Systems Inc., Parkare Group, Petards Group, Quercus Technologies SL, Siemens Technology and Services Pvt Ltd., Tattile srl, Bosch GmbH, Vysionics ITS Ltd., and Zhejiang Dahua Technology Co. Ltd.

Key questions answered in this report:

What will the market size be in 2018 and what will the growth rate be?
What are the key market trends?
What is driving this market?
What are the challenges to market growth?
Who are the key vendors in this market space?
What are the market opportunities and threats faced by the key vendors?
What are the strengths and weaknesses of the key vendors?
You can request one free hour of our analyst's time when you purchase this market report. Details are provided within the report.

Methodology

Research methodology is based on extensive primary and secondary research. Primary research includes in-depth interviews with industry experts, vendors, resellers and customers. Secondary research includes Technavio Platform, industry publications, company reports, news articles, analyst reports, trade associations and the data published by Government agencies.
01. Executive Summary
02. List of Abbreviations
03. Scope of the Report
03.1 Market Overview
03.2 Product Offerings
04. Market Research Methodology
04.1 Market Research Process

04.2 Research Methodology
05. Introduction
06. Technical Overview
06.1 Working Process
06.1.1 Capture Unit
06.1.2 Process Unit
06.2 Operational Sequence of ANPR
07. Market Landscape
07.1 Market Overview
07.2 Market Size and Forecast
07.3 Five Forces Analysis
08. Geographical Segmentation
08.1 Overview
08.2 Global Automated Number Plate Recognition Market by Geographical Segmentation 2013-2018
08.3 Automated Number Plate Recognition Market in Americas
08.3.1 Market Size and Forecast
08.4 Automated Number Plate Recognition Market in the EMEA Region

08.4.1 Market Size and Forecast
08.5 Automated Number Plate Recognition Market in the APAC Region
08.5.1 Market Size and Forecast
09. Key Leading Countries
09.1 USA
09.2 UK
09.3 Japan
10. Buying Criteria
11. Market Growth Drivers
12. Drivers and their Impact
13. Market Challenges
14. Impact of Drivers and Challenges
15. Market Trends

16. Trends and their Impact
17. Vendor Landscape
17.1 Competitive Scenario
17.1.1 Key Acquisitions
17.2 Other Prominent Vendors
18. Key Vendor Analysis
18.1 ARH Inc.
18.1.1 Business Overview
18.1.2 Business Segmentation
18.1.3 Key Information
18.1.4 SWOT Analysis
18.2 Digital Recognition Systems Ltd.
18.2.1 Business Overview

18.2.2 Business Segmentation
18.2.3 Key Information
18.2.4 SWOT Analysis
18.3 ELSAG North America LLC
18.3.1 Business Overview
18.3.2 Business Segmentation
18.3.3 Key Information
18.3.4 SWOT Analysis
18.4 NDI Recognition Systems Ltd.
18.4.1 Business Overview
18.4.2 Business Segmentation
18.4.3 Key Information
18.4.4 SWOT Analysis
18.5 Q-Free ASA
18.5.1 Business Overview
18.5.2 Business Segmentation
18.5.3 Key Information
18.5.4 SWOT Analysis
18.6 Vigilant Solutions Inc.
18.6.1 Business Overview
18.6.2 Business Segmentation
18.6.3 Key Information
18.6.4 SWOT Analysis
19. Other Reports

List of Exhibits

Exhibit 1: Market Research Methodology
Exhibit 2: ANPR System Description
Exhibit 3: Operational Sequence of ANPR
Exhibit 4: Global Automatic Number Plate Recognition Market 2013-3018 (US$ million)
Exhibit 5: Global Automatic Number Plate Recognition Market by Geographical Segmentation 2013
Exhibit 6: Global Automated Number Plate Recognition Market by Geographical Segmentation 2013-3018
Exhibit 7: Automated Number Plate Recognition Market in Americas 2013-2018 (US$ million)
Exhibit 8: Automated Number Plate Recognition Market in the EMEA Region 2013-2018 (US$ million)
Exhibit 9: Automated Number Plate Reading Market in the APAC Region 2013-2018 (US$ million)
Exhibit 10: Business Segmentation of ARH Inc.
Exhibit 11: Business Segmentation of Digital Recognition Systems Ltd.
Exhibit 12: Business Segmentation of ELSAG North America LLC
Exhibit 13: Business Segmentation of NDI Recognition Systems Ltd.
Exhibit 14: Business Segmentation of Q-Free
Exhibit 15: Business Segmentation of Vigilant Solutions Inc.?

Companies Mentioned

Q-Free ASA, ARH Inc., Vigilant Solutions Inc., NDI Recognitions Systems Ltd., Elsag North America LLC, 3M Co., CA Traffic Ltd., Captec Ltd., ClearView Communications, COBAN Technologies Inc., DTK Software, FLIR Systems, Gtechna Inc., HP Autonomy, Image Sensing Systems Inc., Parkare Group, Petards Group, Quercus Technologies SL, Siemens Technology and Services Pvt Ltd., Tattile srl, Bosch GmbH, Vysionics ITS Ltd., and Zhejiang Dahua Technology Co. Ltd.

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