Data Bridge Market Research in its report titled of Global Automated Fare Collection Market offers comprehensive insights and detailed research on this market. The report covers the key factors that are propelling the growth of the Automated Fare Collection market, untapped lucrative opportunities for manufacturers, latest trends and latest developments that are shaping the growth of the market and other valuable insights across different market segments.

The automated fare collection market size is valued at USD 25,197.92 million by 2028 and is expected to grow at a compound annual growth rate of 13.20% over the forecast period of 2021 to 2028. Data Bridge Market Research report on automated fare collection market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the markets growth.

Read Detailed Index of full Research Study @ https://www.databridgemarketresearch.com/reports/global-automated-fare-collection-market

Leading Key Players Operating in the Automated Fare Collection Market Includes:

The major players covered in the automated fare collection market report are Cubic Corporation, Indra, Thales Group, GMV, ST Engineering, Atos SE, Longbow Technologies Sdn Bhd, Samsung, Genfare, Advanced Card Systems Ltd., NIPPON SIGNAL CO., LTD., OMRON Corporation, Vix Technology, Scheidt & Bachmann GmbH, Siemens, NXP Semiconductors, LG CNS, Sony Corporation, LECIP HOLDINGS CORPORATION, and Masabi Ltd, among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.

Key Market Segments:

  • On the basis of component, the automated fare collection market is segmented into hardware and software.
  • The automated fare collection market is segmented on the basis of service type into consulting, system implementation, training, support, and maintenance and managed services.
  • On the basis of system, the automated fare collection market is segmented into ticket vending machine (TVM), ticket office machine (TOM), fare gates and IC cards.
  • Based on technology, the automated fare collection market is segmented into near-field communication (NFC), magnetic stripes, smart card, optical character recognition (OCR) and others.
  • Based on application, the automated fare collection market is segmented into rail and transport, parking, theme park and others. Rail and transport has further been segmented into ticket vending machine, automatic collection gate, passenger service machine and smart card ticketing. Parking has further been segmented into parking entry/exit barriers, auto pay machine and ticket validating machine.
  • Based on end user, the automated fare collection market is segmented into transportation and logistics, government, media and entertainment, retail and others.

Automated Fare Collection Market Country Level Analysis:

The countries covered in the Automated Fare Collection Market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC)  in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA)as a part of Middle East and Africa (MEA).

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter’s five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

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