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Automated Fare Collection System Market by Application (Bus, Toll, Train, and Car Rental), Component (Hardware, and Software), and Technology Platform (Smart Card, Near Field Communications, Optical Character Recognition (OCR) and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

A01089
Pages: 268
Nov 2020 | 15185 Views
 
Author(s) : Omkar Bachal , Sonia Mutreja
Tables: 100
Charts: 78
 

COVID-19

Pandemic disrupted the entire world and affected many industries.

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Automated Fare Collection System Market Statistics - 2027

The global automated fare collection system market was valued at $6,639.10 million in 2019, and is projected to reach $12,753.75 million by 2027, registering a CAGR of 11.6%.

In the crisis of COVID-19, the major impact is experienced by the public mobility as people are suggested to stay at home and prefer the work from home wherever possible. After the post lockdown situation, completely or partially shut down public transportation are reopening gradually. However, passenger is decreased around 90% and it is expected to continue in the upcoming days. high health concern and penetration of digital technologies, contactless and automated payment system is going to gain momentum in the upcoming decade.

Changing payment outlook of the passengers eliminates the hard cash requirement and minimizes the transit time that helps eliminate the long ticket queues is a significant driving force for the automated fare collection system market. Automated fare collection system is a contactless, end-to-end solution for collecting fare payments and replacing traditional ticketing system with automated ticketing. It comprises automatic gate machines, ticket vending machines, recharging terminals, and ticket checking machines. This system facilitates efficiency in fare collection, improves the overall transaction rate, and saves extensive amount of time, thereby, minimizing waiting time in queues and searching for cash to buy tickets. In addition, it is an easy method for revenue collection. It offers travelers to carry one card to use for all transit modes.

Automated Fare Collection System Market 2020-2027

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The major companies profiled in the automated fare collection system market share include Atos SE, Cubic Transportation Systems, Inc., dormakaba Holding, LECIP Group, LG CNS, NXP Semiconductors, OMRON Corporation, Samsung SDS, Scheidt&Bacchhan Gmbh, and Thales Group.

The automated fare collection system market report is segmented on the basis of component, application, technology platform, and region. On the basis of component, it is bifurcated into hardware and software. By application, it is divided into bus, toll, car rental, and train. On the basis of technology platform, it is categorized into smart cards, near-field communications, optical character recognition, and others (magnetic strips and bar codes).

Region-wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Top Impacting Factors

The significant impacting factors in the growth of the automated fare collection system market include contactless open payment, increased demand for smartphones, enhanced efficiency, low fraud rates, enhanced transport infrastructure and security system, and flexible fare plans. Further, factors such as increase in high speed of public transport, rise of technology payment, and global inter-operability show a positive impact on the market. Each of these factors is anticipated to have a definite impact on the automated fare collection system market during the forecast period (2020–2027). 

Contactless open payment

The need for convenient and user-friendly mode of fare payment has increased tremendously. Contactless open payment benefits customers, as their debit or credit cards act as a ticket office, thereby resulting in a hassle-free fare payment. By adopting an automated fare payment system that is based on the industry’s open standards, transit agencies can enable riders to tap contactless open payment method for point-of-entry payments. Therefore, passengers need not carry cash or wait in long queues for purchasing tickets. Contactless open payment means agencies no longer need to support extensive fare media management and distribution systems. Contactless open payment only reduces the need for own custom built ticketing system and its associated costs, but often enables companies to aggregate small transactions with fewer charges. Transit operators accept contactless bank cards as a mode of payment for commuting. Bank cards systems can be layered on to most existing systems to allow customers to choose their preferred payment method. Thus, because of the reduction in operating cost and improved customer service, the contactless open payment will drive the market growth in near future. 

Owing to spread of the COVID-19 pandemic, reopening of the public places is focusing toward safety of the passenger during commute. The contactless payment is a way to pay for fares with maximum safety measures and reduced operational time. For instance: Visa has expanded contactless payment for the urban transportation service to around 500 cities across the globe as the COVID-19 health crisis continues to disrupt social activities. The company is expecting that around 65% cards in the market will be no-contact payment cards by the end of 2020 owing to safety concerns along with speed & convenience. 

Increasing demand for smartphones

Smartphones have become an essential tool for online ticketing thereby boosting the overall growth of the automated fare collection system market. Smartphones make purchasing of tickets easier and more convenient with standalone smartphone applications for travelling in buses and railways, which fuels the market growth. It allows customers to purchase any type of ticket and make cashless payment. 

Moreover, one of the biggest advantages of mobile application-based ticketing is that it lowers boarding time and reduces in cash-handling procedures. Nowadays, customers value the comfort of using preloaded cards for transactions to enhance transit experience of travelers.

Automated Fare Collection System Market
By Application

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Train Segment is projected as the most lucrative segment

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Enhanced efficiency

Automated fare collection system eliminates cash payment and concerns associated with language barriers between drivers and passengers, thereby facilitating hassle-free payment using smartcards. With every swipe of card, valuable data is collected and instantly incorporated in a database to enable efficient handling of payments, faster transactions and less processing time. In addition, it enables merchants to manage records efficiently and handle large amount of transactions. Moreover, AFC systems allow quick service as well as self-service options, ensuring minimal or no waiting time for consumers, which reduces the overall operational time and improves efficiency of the entire process. Furthermore, faster validation of transactions allows the staff to generate fare tokens and tickets quickly. The Automatic Fare collection (AFC) system has improved the efficiency of fare box collection and made the journey convenient for the commuters and thereby, drives the market growth.

Low fraud rates 

Smartcard technology is preferred over paper tickets due to high data-storage capacity of these systems and high level of security encryption. Public transport providers incur financial losses due to fare or ticket evasions. Automated fare collection systems allow access to only those customers who have collected the token by making the payment or have sufficient fund balance in their smart cards. The implementation of this technology tends to reduce the number of frauds and prevent counterfeiting. 

Automated Fare Collection System Market
By Component

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Hardware is projected as the most lucrative segments

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AFC enables transit operators to improve their financial control and track media sales, transfers, and cash transactions. With fully automated fare collection, ticket fraud can be reduced and effective controls can be implemented owing to the powerful reporting capabilities of the platform. It also allows operators to reduce or restrict the cash handling responsibilities of staff, thereby reducing frauds and boosting the growth of the automated fare collection system market.

Enhanced transport infrastructure and security system 

The governments of Singapore, China, and others, have focused on improving the transportation structure and security system of their respective countries. The land transport authority (LTA) has deployed more than 4,800 public buses in Singapore. A multi-modal AFC solution for public transportation in Malaysia permits passengers to travel effortlessly by means of train, bus, light rail transit, or express rail to different cities using the same payment mechanism, which is a single contactless smart card. This increases the adoption rate of such systems, as these are appealing as well as convenient for travelers.

Automated Fare Collection System Market
By Technology Platform

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NFC is projected as the most lucrative segments

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COVID-19 Impact Analysis

In the current COVID-19 health crisis, unprecedented times call for creative solutions, and the payments technology industry offers many different opportunities to people to support each other as well as the communities in a safe and effective manner with little to no physical contact. Due to COVID-19 impact analysis, the major impact is experienced by the public mobility as people are suggested to stay at home and prefer work from home wherever possible. From March 2020, public transport in majority of the big cities have been completely or partially shut down. Though, the restriction on public mobility has been lifted partially since the past two or three months, however, the world’s major cities are experiencing 70% to 90% reduction in the public-transit ridership.

In the current scenario, payment environment has witnessed drastic change across the globe as passengers are inclining toward digital payment solutions to perform contactless payment operations. In the post COVID-19 situation in the near future, high health concern and penetration of digital technologies, contactless and automated payment system is going to gain momentum in the upcoming decade. Social distancing, lockdowns, and other restrictions imposed due to the COVID-19 crisis are enforcing people to increase the use of automated fare collection systems.

Automated Fare Collection System Market
By Region

2027
Asia-pacific 
North America
Europe
Lamea

Asia Pacific would exhibit the highest CAGR of 14.4% during 2020-2027.

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Key Benefits For Stakeholders

  • This study comprises analytical depiction of the automated fare collection system market trends with current trends and future estimations to depict the imminent investment pockets.
  • The overall potential is determined to understand the profitable trends to gain a stronger foothold.
  • The automated fare collection system market analysis report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
  • The current growth and automated fare collection system market forecasts quantitatively analyzed from 2019 to 2027 to benchmark the financial competency.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers in the automated fare collection system market share.
  • The study also comprises the automated fare collection system market opportunity, which helps key players in decision making.
  • The leading players in the industry are expecting high revenue margin from automated fare collection system market returns.

Key Market Segments

By Application

  • Bus
  • Toll
  • Train
  • Car Rental

By Component

  • Hardware
  • Software

By Technology Platform

  • Smart Card
  • Optical Character Recognition (OCR)
  • Near Field Communications
  • Others (Magnetic Strips and Bar Codes)

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea 
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa

Key Market Players 

  • Atos SE
  • Cubic Transportation Systems, Inc.
  • dormakaba Holding
  • LECIP Group
  • LG CNS
  • NXP Semiconductors
  • OMRON Corporation
  • Samsung SDS
  • Scheidt&Bacchhan Gmbh
  • Thales Group
 

CHAPTER 1:INTRODUCTION

1.1.REPORT DESCRIPTION
1.2.KEY BENEFITS FOR STAKEHOLDERS
1.3.KEY MARKET SEGMENTS
1.4.RESEARCH METHODOLOGY

1.4.1.Primary research
1.4.2.Secondary research
1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.CXO PERSPECTIVE

CHAPTER 3:MARKET OVERVIEW

3.1.MARKET DEFINITION AND SCOPE
3.2.KEY FINDINGS

3.2.1.Top impacting factors
3.2.2.Top investment pockets
3.2.3.Top winning strategies

3.3.PORTER’S FIVE FORCES ANALYSIS
3.4.MARKET SHARE ANALYSIS (2019)
3.5.MARKET DYNAMICS

3.5.1.Drivers

3.5.1.1.Contactless open payment
3.5.1.2.Increasing demand for smartphones
3.5.1.3.Enhanced efficiency
3.5.1.4.Low fraud rates
3.5.1.5.Enhanced transport infrastructure and security system
3.5.1.6.Flexible fare plans
3.5.1.7.Low manpower cost & less operational time

3.5.2.Restraints

3.5.2.1.High installation cost
3.5.2.2.High maintenance cost

3.5.3.Opportunities

3.5.3.1.Increase in use of high-speed of public transport
3.5.3.2.Rise in technology payment
3.5.3.3.Global interoperability
3.5.3.4.Winning the contract/agreement is the key strategy

3.6.VALUE CHAIN ANALYSIS

3.6.1.Research and development (R&D)
3.6.2.Raw Material & software solution suppliers
3.6.3.Assembly unit
3.6.4.Distribution
3.6.5.Transit agencies

3.7.IMPACT OF COVID-19 ON THE AUTOMATED FARE COLLECTION SYSTEM MARKET

CHAPTER 4:GLOBAL AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION

4.1.OVERVIEW
4.2.BUS

4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market analysis, by country

4.3.TOLL

4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market analysis, by country

4.4.TRAIN

4.4.1.Key market trends, growth factors, and opportunities
4.4.2.Market size and forecast, by region
4.4.3.Market analysis, by country

4.5.CAR RENTAL

4.5.1.Key market trends, growth factors, and opportunities
4.5.2.Market size and forecast, by region
4.5.3.Market analysis, by country

CHAPTER 5:GLOBAL AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT

5.1.OVERVIEW
5.2.HARDWARE

5.2.1.Key market trends, growth factors and opportunities
5.2.2.Market size and forecast, by region
5.2.3.Market analysis by country
5.2.4.Validators
5.2.5.Turnstiles
5.2.6.Ticket vending machines
5.2.7.Others

5.3.SOFTWARE

5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market analysis by country

CHAPTER 6:GLOBAL AUTOMATED FARE COLLECTION SYSTEM MARKET, TECHNOLOGY PLATFORM

6.1.OVERVIEW
6.2.SMART CARD

6.2.1.Key market trends, growth factors and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market analysis by country

6.3.OPTICAL CHARACTER RECOGNITION (OCR)

6.3.1.Key market trends, growth factors and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market analysis by country

6.4.NEAR FIELD COMMUNICATION (NFC)

6.4.1.Key market trends, growth factors, and opportunities
6.4.2.Market size and forecast, by region
6.4.3.Market analysis by country

6.5.OTHERS (MAGNETIC STRIP AND BAR CODING)

6.5.1.Key market trends, growth factors, and opportunities
6.5.2.Market size and forecast, by region
6.5.3.Market analysis by country

CHAPTER 7:AUTOMATED FARE COLLECTION SYSTEM MARKET, BY REGION

7.1.OVERVIEW
7.2.NORTH AMERICA

7.2.1.Market size and forecast, by application
7.2.2.Market size and forecast, by component
7.2.3.Market size and forecast, by technology platform
7.2.4.Market size and forecast, by country

7.2.4.1.U.S.

7.2.4.1.1.Market size and forecast, by application
7.2.4.1.2.Market size and forecast, by component
7.2.4.1.3.Market size and forecast, by technology platform

7.2.4.2.Canada

7.2.4.2.1.Market size and forecast, by application
7.2.4.2.2.Market size and forecast, by component
7.2.4.2.3.Market size and forecast, by technology platform

7.2.4.3.Mexico

7.2.4.3.1.Market size and forecast, by application
7.2.4.3.2.Market size and forecast, by component
7.2.4.3.3.Market size and forecast, by technology platform

7.3.EUROPE

7.3.1.Market size and forecast, by application
7.3.2.Market size and forecast, by component
7.3.3.Market size and forecast, by technology platform
7.3.4.Market size and forecast, by country

7.3.4.1.UK

7.3.4.1.1.Market size and forecast, by application
7.3.4.1.2.Market size and forecast, by component
7.3.4.1.3.Market size and forecast, by technology platform

7.3.4.2.Germany

7.3.4.2.1.Market size and forecast, by application
7.3.4.2.2.Market size and forecast, by component
7.3.4.2.3.Market size and forecast, by technology platform

7.3.4.3.France

7.3.4.3.1.Market size and forecast, by application
7.3.4.3.2.Market size and forecast, by component
7.3.4.3.3.Market size and forecast, by technology platform

7.3.4.4.Spain

7.3.4.4.1.Market size and forecast, by application
7.3.4.4.2.Market size and forecast, by component
7.3.4.4.3.Market size and forecast, by technology platform

7.3.4.5.Russia

7.3.4.5.1.Market size and forecast, by application
7.3.4.5.2.Market size and forecast, by component
7.3.4.5.3.Market size and forecast, by technology platform

7.3.4.6.Rest of Europe

7.3.4.6.1.Market size and forecast, by application
7.3.4.6.2.Market size and forecast, by component
7.3.4.6.3.Market size and forecast, by technology platform

7.4.ASIA-PACIFIC

7.4.1.Market size and forecast, by application
7.4.2.Market size and forecast, by component
7.4.3.Market size and forecast, by technology platform
7.4.4.Market size and forecast, by country

7.4.4.1.China

7.4.4.1.1.Market size and forecast, by application
7.4.4.1.2.Market size and forecast, by component
7.4.4.1.3.Market size and forecast, by technology platform

7.4.4.2.India

7.4.4.2.1.Market size and forecast, by application
7.4.4.2.2.Market size and forecast, by component
7.4.4.2.3.Market size and forecast, by technology platform

7.4.4.3.Japan

7.4.4.3.1.Market size and forecast, by application
7.4.4.3.2.Market size and forecast, by component
7.4.4.3.3.Market size and forecast, by technology platform

7.4.4.4.South Korea

7.4.4.4.1.Market size and forecast, by application
7.4.4.4.2.Market size and forecast, by component
7.4.4.4.3.Market size and forecast, by technology platform

7.4.4.5.Rest of Asia-Pacific

7.4.4.5.1.Market size and forecast, by application
7.4.4.5.2.Market size and forecast, by component
7.4.4.5.3.Market size and forecast, by technology platform

7.5.LAMEA

7.5.1.Market size and forecast, by application
7.5.2.Market size and forecast, by component
7.5.3.Market size and forecast, by technology platform
7.5.4.Market size and forecast, by country

7.5.4.1.Latin America

7.5.4.1.1.Market size and forecast, by application
7.5.4.1.2.Market size and forecast, by component
7.5.4.1.3.Market size and forecast, by technology platform

7.5.4.2.Middle East

7.5.4.2.1.Market size and forecast, by application
7.5.4.2.2.Market size and forecast, by component
7.5.4.2.3.Market size and forecast, by technology platform

7.5.4.3.Africa

7.5.4.3.1.Market size and forecast, by application
7.5.4.3.2.Market size and forecast, by component
7.5.4.3.3.Market size and forecast, by technology platform

CHAPTER 8:COMPANY PROFILES

8.1.ATOS SE

8.1.1.Company overview
8.1.2.Company snapshot
8.1.3.Operating business segments
8.1.4.Business performance
8.1.5.Key strategic moves and developments

8.2.CUBIC TRANSPORTATION SYSTEMS, INC.

8.2.1.Company overview
8.2.2.Company snapshot
8.2.3.Operating business segments
8.2.4.Business performance
8.2.5.Key strategic moves and developments

8.3.DORMAKABA HOLDING

8.3.1.Company overview
8.3.2.Company snapshot
8.3.3.Operating business segments
8.3.4.Product portfolio
8.3.5.Business performance
8.3.6.Key strategic moves and developments

8.4.LECIP HOLDINGS CORPORATION

8.4.1.Company overview
8.4.2.Company snapshot
8.4.3.Operating business segments
8.4.4.Product portfolio
8.4.5.Business performance
8.4.6.Key strategic moves and developments

8.5.LG CNS

8.5.1.Company overview
8.5.2.Company snapshot
8.5.3.Product portfolio
8.5.4.Business performance

8.6.NXP SEMICONDUCTORS

8.6.1.Company overview
8.6.2.Company snapshot
8.6.3.Operating business segments
8.6.4.Product portfolio
8.6.5.Business performance
8.6.6.Key strategic moves and developments

8.7.OMRON CORPORATION

8.7.1.Company overview
8.7.2.Company snapshot
8.7.3.Operating business segments
8.7.4.Business performance
8.7.5.Key strategic moves and developments

8.8.SAMSUNG SDS

8.8.1.Company overview
8.8.2.Company snapshot
8.8.3.Operating business segments
8.8.4.Business performance

8.9.SCHEIDT & BACCHHAN GMBH

8.9.1.Company overview
8.9.2.Company snapshot
8.9.3.Operating business segments
8.9.4.Key strategic moves and developments

8.10.THALES GROUP

8.10.1.Company overview
8.10.2.Company snapshot
8.10.3.Operating business segments
8.10.4.Business performance
8.10.5.Key strategic moves and developments

LIST OF TABLES

TABLE 01.AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 02.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR BUS, BY REGION 2019–2027 ($MILLION)
TABLE 03.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR TOLL, BY REGION 2019–2027 ($MILLION)
TABLE 04.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR TRAIN, BY REGION 2019–2027 ($MILLION)
TABLE 05.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR CAR RENTAL, BY REGION 2019–2027 ($MILLION)
TABLE 06.AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 07.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR HARDWARE, BY REGION 2019-2027 ($MILLION)
TABLE 08.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR SOFTWARE, BY REGION 2019-2027 ($MILLION)
TABLE 09.AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019-2027 ($MILLION)
TABLE 10.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR SMART CARD, BY REGION 2019-2027 ($MILLION)
TABLE 11.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR OCR, BY REGION 2019-2027 ($MILLION)
TABLE 12.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR NFC, BY REGION 2019-2027 ($MILLION)
TABLE 13.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR OTHERS, BY REGION 2019-2027 ($MILLION)
TABLE 14.AUTOMATED FARE COLLECTION SYSTEM MARKET, BY REGION 2019–2027 ($MILLION)
TABLE 15.NORTH AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 16.NORTH AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 17.NORTH AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 18.U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 19.U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 20.U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 21.CANADA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 22.CANADA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 23.CANADA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 24.MEXICO AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 25.MEXICO AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 26.MEXICO AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 27.EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 28.EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 29.EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 30.UK AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 31.UK AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 32.UK AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 33.GERMANY AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 34.GERMANY AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 35.GERMANY AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 36.FRANCE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 37.FRANCE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 38.FRANCE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 39.SPAIN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 40.SPAIN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 41.SPAIN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 42.RUSSIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 43.RUSSIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 44.RUSSIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 45.REST OF EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 46.REST OF EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 47.REST OF EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 48.ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 49.ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 50.ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 51.CHINA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 52.CHINA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 53.CHINA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 54.INDIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 55.INDIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 56.INDIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 57.JAPAN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 58.JAPAN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 59.JAPAN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 60.SOUTH KOREA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 61.SOUTH KOREA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 62.SOUTH KOREA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 63.REST OF ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 64.REST OF ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 65.REST OF ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 66.LAMEA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 67.LAMEA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 68.LAMEA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 69.LATIN AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 70.LATIN AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 71.LATIN AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 72.MIDDLE EAST AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 73.MIDDLE EAST AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 74.MIDDLE EAST AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 75.AFRICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 76.AFRICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 77.AFRICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2019–2027 ($MILLION)
TABLE 78.ATOS SE: COMPANY SNAPSHOT
TABLE 79.ATOS SE: OPERATING SEGMENTS
TABLE 80.CUBIC TRANSPORTATION SYSTEMS, INC.: COMPANY SNAPSHOT
TABLE 81.CUBIC TRANSPORTATION SYSTEMS, INC.: OPERATING SEGMENTS
TABLE 82.DORMAKABA HOLDING: COMPANY SNAPSHOT
TABLE 83.DORMAKABA HOLDING: OPERATING SEGMENTS
TABLE 84.DORMAKABA HOLDING: PRODUCT PORTFOLIO
TABLE 85.LECIP HOLDINGS CORPORATION: COMPANY SNAPSHOT
TABLE 86.LECIP HOLDINGS CORPORATION: OPERATING SEGMENTS
TABLE 87.DORMAKABA HOLDING: PRODUCT PORTFOLIO
TABLE 88.LG CNS: COMPANY SNAPSHOT
TABLE 89.DORMAKABA HOLDING: PRODUCT PORTFOLIO
TABLE 90.NXP SEMICONDUCTORS N.V.: COMPANY SNAPSHOT
TABLE 91.NXP SEMICONDUCTORS N.V.: OPERATING SEGMENTS
TABLE 92.NXP SEMICONDUCTORS N.V.: PRODUCT PORTFOLIO
TABLE 93.OMRON CORPORATION: COMPANY SNAPSHOT
TABLE 94.OMRON CORPORATION: OPERATING SEGMENTS
TABLE 95.SAMSUNG SDS: COMPANY SNAPSHOT
TABLE 96.OMRON CORPORATION: OPERATING SEGMENTS
TABLE 97.SCHEIDT & BACHMANN GMBH: COMPANY SNAPSHOT
TABLE 98.SCHEIDT & BACHMANN GMBH: OPERATING SEGMENTS
TABLE 99.THALES GROUP: COMPANY SNAPSHOT
TABLE 100.THALES GROUP: OPERATING SEGMENTS

LIST OF FIGURES

FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.EXECUTIVE SUMMARY
FIGURE 03.EXECUTIVE SUMMARY
FIGURE 04.TOP IMPACTING FACTORS
FIGURE 05.TOP INVESTMENT POCKETS
FIGURE 06.TOP WINNING STRATEGIES, BY YEAR, 2017–2020*
FIGURE 07.TOP WINNING STRATEGIES, BY YEAR, 2017–2020*
FIGURE 08.TOP WINNING STRATEGIES, BY COMPANY, 2017–2020*
FIGURE 09.MODERATE-TO-HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 10.MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 11.MODERATE-TO-HIGH THREAT OF SUBSTITUTES
FIGURE 12.MODERATE-TO-HIGH INTENSITY OF RIVALRY
FIGURE 13.MODERATE-TO-HIGH BARGAINING POWER OF BUYERS
FIGURE 14.MARKET SHARE ANALYSIS (2019)
FIGURE 15.VALUE CHAIN ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET
FIGURE 16.AUTOMATED FARE COLLECTION SYSTEM MARKET SHARE, BY APPLICATION, 2019–2027 (%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR BUS, BY COUNTRY, 2019 & 2027 (%)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR TOLL, BY COUNTRY, 2019 & 2027 (%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR TRAIN, BY COUNTRY, 2019 & 2027 (%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR CAR RENTAL, BY COUNTRY, 2019 & 2027 (%)
FIGURE 21.AUTOMATED FARE COLLECTION SYSTEM MARKET SHARE, BY COMPONENT, 2019–2027 (%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR HARDWARE,  BY COUNTRY, 2019 & 2027 (%)
FIGURE 23.AUTOMATED FARE COLLECTION SYSTEM MARKET FOR VALIDATORS, 2019-2027 ($MILLION)
FIGURE 24.AUTOMATED FARE COLLECTION SYSTEM MARKET FOR TURNSTILES, 2019-2027 ($MILLION)
FIGURE 25.AUTOMATED FARE COLLECTION SYSTEM MARKET FOR TICKET VENDING MACHINES, 2019-2027 ($MILLION)
FIGURE 26.AUTOMATED FARE COLLECTION SYSTEM MARKET FOR OTHERS, 2019-2027 ($MILLION)
FIGURE 27.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR SOFTWARE,  BY COUNTRY, 2019 & 2027 (%)
FIGURE 28.AUTOMATED FARE COLLECTION SYSTEM MARKET SHARE, BY TECHNOLOGY PLATFORM, 2019–2027 (%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR SMART CARD,  BY COUNTRY, 2019 & 2027 (%)
FIGURE 30.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR OCR, BY COUNTRY, 2019 & 2027 (%)
FIGURE 31.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR NFC, BY COUNTRY, 2019 & 2027 (%)
FIGURE 32.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR OTHERS,  BY COUNTRY, 2019 & 2027 (%)
FIGURE 33.AUTOMATED FARE COLLECTION SYSTEM MARKET, BY REGION, 2019-2027 (%)
FIGURE 34.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COUNTRY,  2019–2027 (%)
FIGURE 35.U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 36.CANADA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 37.MEXICO AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 38.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COUNTRY,  2019–2027 (%)
FIGURE 39.UK AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 40.GERMANY AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 41.FRANCE AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 42.SPAIN AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 43.RUSSIA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 44.REST OF EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 45.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COUNTRY,  2019–2027 (%)
FIGURE 46.CHINA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 47.INDIA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 48.JAPAN AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 49.SOUTH KOREA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 50.REST OF ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 51.COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COUNTRY,  2019–2027 (%)
FIGURE 52.LATIN AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 53.MIDDLE EAST AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 54.AFRICA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2019–2027 ($MILLION)
FIGURE 55.ATOS SE: NET SALES, 2017–2019 ($ MILLION)
FIGURE 56.ATOS SE: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 57.ATOS SE: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 58.CUBIC TRANSPORTATION SYSTEMS, INC.: NET SALES, 2017–2019 ($MILLION)
FIGURE 59.CUBIC TRANSPORTATION SYSTEMS, INC.: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 60.CUBIC TRANSPORTATION SYSTEMS, INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 61.DORMAKABA HOLDING: NET SALES, 2018–2020 ($MILLION)
FIGURE 62.DORMAKABA HOLDING: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 63.DORMAKABA HOLDING: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 64.LECIP HOLDINGS CORPORATION: NET SALES, 2018–2020 ($MILLION)
FIGURE 65.LECIP HOLDINGS CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 66.LG CNS: NET SALES, 2017–2019 ($MILLION)
FIGURE 67.NXP SEMICONDUCTORS: NET SALES, 2017–2019 ($MILLION)
FIGURE 68.NXP SEMICONDUCTORS N.V.: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 69.NXP SEMICONDUCTORS N.V.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 70.OMRON CORPORATION: NET SALES, 2018–2020 ($MILLION)
FIGURE 71.OMRON CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 72.OMRON CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 73.SAMSUNG SDS: NET SALES, 2017–2019 ($MILLION)
FIGURE 74.SAMSUNG SDS: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 75.SAMSUNG SDS: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 76.THALES GROUP: NET SALES, 2017–2019 ($MILLION)
FIGURE 77.THALES GROUP: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 78.THALES GROUP: REVENUE SHARE BY REGION, 2019 (%)

 
 

The automated fare collection system is the new era of public transportation front where majority of the public transportation providers are focused to develop easy fare ticketing, validating as well as collection technologies to ease the fare collection operations with time effective output along with unmanned process. In recent years, numerous plans were proposed to reform the fare system used in public transport. The adoption of automated fare collection systems would replace passes and paper-based tickets with electronic fare payments. The introduction of national integrated card systems is expected to provide fare concessions to students and pensioners using public transport. Nowadays, there is a notable increase in the demand for automated fare collection ticketing system due to the increase in demand for contactless open payment solutions and smart phones, reduction in fraud rates, flexible fare plans, reduced traffic congestion, and enhanced transport infrastructure. 

Automated Fare Collection System (AFCS) is an advanced payment system that allows transit operators to collect revenue. The system comprises five levels namely, Level-0, Level-1, Level-2, Level-3, and Level-4. Level-0 is the basic level of AFCS, which includes ticket media. Ticket media comprises printed paper tickets, smart cards, bar codes, and mobile devices. Level-1 comprises field devices (devices that allow inspection of fare ticket media). These devices include ticket vending machines, fare gates, platform validators, and others. In addition, Level-2 is active on station level, which includes the involvement of IT systems. Level-3 provides data to system at back end. At this stage, the management monitors devices, tariff management, route management, reporting, and statistics. Lastly, in Level-4, multiple transports are combined by the IT system. For instance, one smart card or one ticket can be used for three different transport systems: buses, metros, and monorails. As public transportation includes only railways and roadways, airways and waterways are not considered a part of the AFCS market. 

Furthermore, the system comprises NFC, RFID, OCR, magnetic stripes, and smart cards. Asia-Pacific is emerging as a big market and is already well equipped with some of the prominent AFC system producers. China manufactures more than 70% of these systems for various AFC vendors. Magnetic stripe cards were previously used in the market but are currently replaced by smart cards. OCRs cannot be used for mass transit fare collection, as they are vulnerable to revenue loss and frauds. AFCS prefer using smart cards as a primary ticketing solution with the provision of accepting NFC as well as the hardware that supports NFC by default support smart card, due to operational complications between payment services, bank, transit authorities, and AFC service providers.

The key players operating in the global automated fare collection system market are Atos SE, Cubic Transportation Systems, Inc., Dormakaba Holding, LECIP Group, LG CNS, NXP Semiconductors, OMRON Corporation, Samsung SDS, Scheidt & Bacchhan Gmbh, and Thales Group. Automated fair collection system market is consolidated market where leading eight market players are holding around 75% share of the overall global market. Market players are focused on agreement/contracts and acquisition to gain competitive advantage. For instance, in August 2020, Scheidt & Bachmann signed an agreement with OC Transpo, the public transit agency, to install contactless fare payment technology on the OC Transpo’s bus fleet and at O-Train stations with fare gates. This partnership will result in OC Transpo having one of the most advanced fare payment systems in Canada, giving customers flexibility to choose from a range of payment options.
 

 
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FREQUENTLY ASKED QUESTIONS?
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A. The global automated fare collection system market was valued at $6,034.2 million in 2018 and is projected to reach $14,167.0 million by 2026, registering a CAGR of 11.2% from 2019 to 2026

A. The Companies holding the major share includes Atos SE, Cubic Transportation Systems, Inc., dormakaba Holding, LECIP Group, LG CNS, NXP Semiconductors, OMRON Corporation, Samsung SDS, Scheidt & Bacchhan Gmbh, and Thales Groupet

A. Atos SE collaborated with various South Korean and European partners, as part of its DECENTER project, a research and innovation venture which aims to design & deliver a robust and secure Fog Computing Platform, to orchestrate Cloud-to-Edge resources

A. The report sample/ company profile section for automated fare collection system market report can be obtained on demand from the website.

A. The current business scenario is witnessing an increase in the demand for automated fare collection system, particularly in the developing countries, such as China, India, and others. Such countries are potential customers for market expansion.

A. The company profile section for automated fare collection system market report can be obtained on demand from the website.

A. Based on the global automated fare collection system market analysis, North America is the major revenue contributor in 2018. However, Asia-Pacific region is expected to provide more business opportunities coupled with lucrative growth during the forecast period.

A. The current business scenario is witnessing an increase in the demand for automated fare collection system, particularly in the developing countries, such as China, India, and others. Such countries are potential customers for market expansion.

A. In terms of component hardware is estimated to be a most influencing segment growing at a CAGR of 11.7% during the forecast period.

A. In terms of application Toll is estimated to be a matured market growing at a CAGR of 12.7% during the forecast period.

A. The global automated fare collection system market was valued at $6.6 billion in 2019, and is projected to reach $12.7 billion by 2027, registering a CAGR of 11.6% from 2020 to 2027.

A. COVID-19 helath crisis has direct impact on the global automated fare collection system market as poublic transit activities across the globe are restricted due to health concern and social distancing.

A. The report sample for global automated fare collection system market report can be obtained on demand from the website.

A. Agreements, partnerships, product developments, and product launches are the top most competitive developments which are adopted by the leading market players in the global market

A. Public transit service provides of Rail transit, Bus transit, Tolls system and car rental solutionsare the major players in the global autmoted fare collection system market.

A. The company profiles of the top ten players of the market can be obtained from the company profile section mentioned in the report. This section includes analysis of top ten player’s operating in the industry along with their last three year revenue, segmental revenue, product offerings, key strategies adopted, and geographical revenue generated

A. Based on the automated fare collection system market analysis, Asia-Pacific accounts to be highest revenue contributor in 2019 and expected to see a lucrative growth provides more business opportunities during the forecast period

A. By Application, Train is expacted to gain traction over the forecast period as well as domainate the market share in the global automated fare collection system market

A. US, Japan, Germany has wirnessed as a key matured markets growing in the global automated fare collection system market.

A. "The key players operating in the global automated fare collection system market are Atos SE, Cubic Transportation Systems, Inc., Dormakaba Holding, LECIP Group, LG CNS, NXP Semiconductors, OMRON Corporation, Samsung SDS, Scheidt & Bacchhan Gmbh, and Thales Group. "

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