Skip to main content

ANPR market predicted to expand at 13.5 per cent CAGR

A new Transparency Market Research report indicates that the global automatic number plate recognition (ANPR) market is estimated at US$415.5 million in 2013, and is expanding at a CAGR of 13.5 per cent between 2014 and 2020 and is predicted to reach US$1,023.2 million by 2020. The report, Automatic Number Plate Recognition (ANPR) Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2014 – 2020, claims the major factor fuelling the demand for ANPR systems worldwide is the increasin
August 17, 2015 Read time: 2 mins
A new 7801 Transparency Market Research report indicates that the global automatic number plate recognition (ANPR) market is estimated at US$415.5 million in 2013, and is expanding at a CAGR of 13.5 per cent between 2014 and 2020 and is predicted to reach US$1,023.2 million by 2020.

The report, Automatic Number Plate Recognition (ANPR) Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2014 – 2020, claims the major factor fuelling the demand for ANPR systems worldwide is the increasing penetration of ANPR in security and surveillance and traffic enforcement applications all around the world.

Additionally, the demand for ANPR systems in the commercial sector is poised to increase due to its rising installation in vehicle parking. On the other hand, volatility in the design of number plates and interference in privacy are amongst the few factors impeding the growth of this market.

The report segments the market for ANPR systems by application, end users and geography. On the basis of applications, the global ANPR market is segmented into vehicle parking, security and surveillance, toll enforcement, and traffic management, which includes red light control, congestion charging, and speed enforcement. Among these, in 2013, the application segment of security and surveillance led the worldwide market for ANPR systems on the basis of revenue and represented more than 25 per cent of the market.

For more information on companies in this article

Related Content

  • California aims to reduce emissions 40 per cent below 1990 levels by 2030
    April 30, 2015
    California’s transportation systems are set for a radical overhaul following Governor Jerry Brown’s Executive order to reduce carbon dioxide (CO2) emissions to 40 per cent below 1990 levels by 2030. Figures from the US Energy Information Administration (EIA) show that transportation accounts for 199.3 million tonnes of CO2 - almost 60 per cent of the state’s CO2 emissions, while the next largest is industrial production (62.9 million tonnes), followed by electric power at 36.5 million tonnes, residential us
  • Indra wins Manila urban traffic control and toll lanes projects
    April 8, 2013
    In two contracts totalling US$13.5 million, Spanish consulting and technology provider Indra is to equip Metro Manila, the Philippines’ main metropolitan region, with more than 11 million residents, with its urban traffic control system. The company will also upgrade the toll collection system for the 90 kilometre long Manila North Luzon Expressway (NLEX), one of the most important motorways in the Philippines, carrying more than 160,000 vehicles each day. For the urban traffic control project, in a consort
  • The case for integrating urban traffic control and parking
    February 3, 2012
    Although urban traffic control and parking management are inextricably linked in so many ways, there remain fundamental differences which undermine closer integration. Car parking guidance systems can have a significant, positive impact on congestion in town and city centres, however conflicting business models still stand in the way of the more profound integration of car parking management and Urban Traffic Control (UTC) systems.
  • Big data analytics identifies congestion increases
    November 26, 2014
    Iteris has completed and published the Alameda County Transportation Commission (Alameda CTC) 2014 Level of Service Monitoring Report. The report was generated for speed-based congestion monitoring, utilising big data analytics in place of conventional in-field manual data collection for 205 miles of the 327 mile network. Use of big data analytics will be expanded in future monitoring cycles. Many agencies conduct congestion monitoring through manual data collection efforts. Agencies traditionally us