Global Automatic Number Plate Recognition (ANPR) Market 2018 by Manufacturers, Regions, Type and Application, Forecast to 2023

SKU ID : GIR- 12949787

Publishing Date : 08-Jan-2019

No. of pages : 111

PRICE
3480
6960

  • An ANPR, or automated number plate recognition, system is an optical character recognition system, which is implemented using cameras and software to analyze the captured pictures

    Scope of the Report:
    This report focuses on the Automatic Number Plate Recognition (ANPR) in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.
    To precisely predict the industry’s growth prospects, our analyst’s follow a corroborative approach of primary and secondary research techniques and perform a detailed analysis of multiple aspects, such as advancements in technology and the impending trends in the consumer demand for different products and services across multiple geographical regions
    The worldwide market for Automatic Number Plate Recognition (ANPR) is expected to grow at a CAGR of roughly xx% over the next five years, will reach xx million US$ in 2023, from xx million US$ in 2017, according to a new study.

    Market Segment by Manufacturers, this report covers
    3M
    ARH
    Elsag
    NDI Recognition Systems

    Market Segment by Regions, regional analysis covers
    North America (United States, Canada and Mexico)
    Europe (Germany, France, UK, Russia and Italy)
    Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
    South America (Brazil, Argentina, Colombia etc.)
    Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

    Market Segment by Type, covers
    Software
    Hardware

    Market Segment by Applications, can be divided into
    Surveillance
    Traffic Management
    Toll Management
    Parking Management

    There are 15 Chapters to deeply display the global Automatic Number Plate Recognition (ANPR) market.
    Chapter 1, to describe Automatic Number Plate Recognition (ANPR) Introduction, product scope, market overview, market opportunities, market risk, market driving force;
    Chapter 2, to analyze the top manufacturers of Automatic Number Plate Recognition (ANPR), with sales, revenue, and price of Automatic Number Plate Recognition (ANPR), in 2016 and 2017;
    Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;
    Chapter 4, to show the global market by regions, with sales, revenue and market share of Automatic Number Plate Recognition (ANPR), for each region, from 2013 to 2018;
    Chapter 5, 6, 7, 8 and 9, to analyze the market by countries, by type, by application and by manufacturers, with sales, revenue and market share by key countries in these regions;
    Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2013 to 2018;
    Chapter 12, Automatic Number Plate Recognition (ANPR) market forecast, by regions, type and application, with sales and revenue, from 2018 to 2023;
    Chapter 13, 14 and 15, to describe Automatic Number Plate Recognition (ANPR) sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source

    Frequently Asked Questions



    This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.

    • By product type
    • By End User/Applications
    • By Technology
    • By Region

    The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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