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Automated Fare Collection System Market by Application (Bus, Toll, Train, and Car Rental), Component (Hardware, and Software & Services), Technology Platform (Smart Card, Near Field Communications, Optical Character Recognition (OCR), and Others (Magnetic Strips and Bar Codes): Global Opportunity Analysis and Industry Forecast, 2019–2026

AU_161401
Pages: 254
Oct 2019 | 8887 Views
 
Author(s) : Akshay Jadhav , Supradip Baul
Tables: 95
Charts: 57
 

Automated Fare Collection System Market Outlook-2026

The automated fare collection system market size was valued at $6.03 billion in 2018, and is projected to reach $14.17 billion by 2026, registering a CAGR of 11.2% from 2019 to 2026.
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, minimizes 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. 
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.

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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.

Automated Fare Collection System Market
By Application

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Global Automotive Fare Collection System Market by Application, 2018-2026, ($Million)

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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 shows 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 (2019–2026).

Automated Fare Collection System Market
By Component

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Global Smart Parking by Application, 2017-2025, ($Million)

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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. Passengers need not to carry cash or wait in long queues for purchasing tickets. Transit operators accept contactless bank cards as a mode of payment for commuting, which drives the market growth.

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 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 payments. Nowadays, customers value the comfort of using preloaded cards for transactions to enhance transit experience of travelers.

Automated Fare Collection System Market
By Technology Platform

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Global Automotive Fare Collection System Market by Technology Platform, 2018-2026, ($Million)

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Enhanced efficiency

Automated fare collection system eliminates cash payment and concerns associated with language barriers between drivers and passengers, thereby allowing 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. 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. The implementation of this technology tends to reduce the number of frauds and prevent counterfeiting. AFC enables transit operators to improve their financial control and track media sales, transfers, and cash transactions. It also allows operators to reduce or restrict the cash handling responsibilities of staff, thereby, reducing frauds and boosts the growth of the automated fare collection system market.

Automated Fare Collection System Market
By Region

2026
Asia-Pacific 
North America
Europe
LAMEA

Global Automotive Fare Collection System Market by Region, 2018-2026, ($Million)

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Enhanced transport infrastructure and security system

The government 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 trains, buses, light rail transits, or express rails 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 and convenient for travelers.

Key Benefits for Automated Fare Collection System Market:

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.
There is high potential of automated fare collection system industry returns.
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 forecast is quantitatively analyzed from 2018 to 2026 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 market opportunity which help key players in decision making.
The leading players in the industry are expecting high revenue margin from market returns.

Automated Fare Collection System Key Market Segments:

By Application???????

  • Bus
  • Toll
  • Train
  • Car Rental

By Component

  • Hardware
  • Software & Services

By Technology Platform

  • Smart Card
  • Near Field Communications
  • Optical Character Recognition (OCR)
  • 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 (2018)
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

3.5.2. Restraint

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

3.6. 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

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. SourceSourceMarket 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: GLOBAL 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.

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

7.2.4.2. Canada

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

7.2.4.3. Mexico

7.2.4.3.2. Market size and forecast, by application
7.2.4.3.3. Market size and forecast, by component
7.2.4.3.4. 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

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

7.3.4.2. Germany

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

7.3.4.3. France

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

7.3.4.4. Spain

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

7.3.4.5. Russia

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

7.3.4.6. Rest of Europe

7.3.4.6.2. Market size and forecast, by application
7.3.4.6.3. Market size and forecast, by component
7.3.4.6.4. 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

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

7.4.4.2. India

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

7.4.4.3. Japan

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

7.4.4.4. South Korea

7.4.4.4.2. Market size and forecast, by application
7.4.4.4.3. Market size and forecast, by component
7.4.4.4.4. 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

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

7.5.4.2. Middle East

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

7.5.4.3. Africa

7.5.4.3.2. Market size and forecast, by application
7.5.4.3.3. Market size and forecast, by component
7.5.4.3.4. 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. Business performance
8.4.5. Key strategic moves and developments

8.5. LG CNS

8.5.1. Company overview
8.5.2. Company snapshot
8.5.3. Operating business segments
8.5.4. Business performance
8.5.5. Key strategic moves and developments

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, 2018–2026 ($MILLION)
TABLE 02. AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR BUS, BY REGION 2018–2026 ($MILLION)
TABLE 03. AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR TOLL, BY REGION 2018–2026 ($MILLION)
TABLE 04. AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR TRAIN, BY REGION 2018–2026 ($MILLION)
TABLE 01. AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR CAR RENTAL, BY REGION 2018–2026 ($MILLION)
TABLE 02. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018-2026 ($MILLION)
TABLE 03. AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR HARDWARE, BY REGION 2018-2026 ($MILLION)
TABLE 04. AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR SOFTWARE, BY REGION 2018-2026 ($MILLION)
TABLE 05. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018-2026 ($MILLION)
TABLE 06. AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR SMART CARD, BY REGION 2018-2026 ($MILLION)
TABLE 07. AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR OCR, BY REGION 2018-2026 ($MILLION)
TABLE 08. AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR NFC, BY REGION 2018-2026 ($MILLION)
TABLE 09. AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR OTHERS, BY REGION 2018-2026 ($MILLION)
TABLE 10. GLOBAL AUTOMATED FARE COLLECTION SYSTEM MARKET, BY REGION 2018–2026 ($MILLION)
TABLE 11. NORTH AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 12. NORTH AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 13. NORTH AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 14. U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 15. U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 16. U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 17. CANADA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 18. CANADA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 19. CANADA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 20. MEXICO AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 21. MEXICO AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 22. MEXICO AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 23. EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 24. EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 25. EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 26. U.K. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 27. U.K. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 28. U.K. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 29. GERMANY AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 30. GERMANY AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 31. GERMANY AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 32. FRANCE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 33. FRANCE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 34. FRANCE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 35. SPAIN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 36. SPAIN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 37. SPAIN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 38. RUSSIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 39. RUSSIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 40. RUSSIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 41. REST OF EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 42. REST OF EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 43. REST OF EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 44. ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 45. ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 46. ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 47. CHINA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 48. CHINA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 49. CHINA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 50. INDIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 51. INDIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 52. INDIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 53. JAPAN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 54. JAPAN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 55. JAPAN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 56. SOUTH KOREA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 57. SOUTH KOREA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 58. SOUTH KOREA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 59. REST OF ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 60. REST OF ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 61. REST OF ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 62. LAMEA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 63. LAMEA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 64. LAMEA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 65. LATIN AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 66. LATIN AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 67. LATIN AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 68. MIDDLE EAST AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 69. MIDDLE EAST AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 70. MIDDLE EAST AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 71. AFRICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 72. AFRICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 73. AFRICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 2018–2026 ($MILLION)
TABLE 74. ATOS SE: COMPANY SNAPSHOT
TABLE 75. ATOS SE: OPERATING SEGMENTS
TABLE 76. CUBIC TRANSPORTATION SYSTEMS, INC.: COMPANY SNAPSHOT
TABLE 77. CUBIC TRANSPORTATION SYSTEMS, INC.: OPERATING SEGMENTS
TABLE 78. DORMAKABA HOLDING: COMPANY SNAPSHOT
TABLE 79. DORMAKABA HOLDING: OPERATING SEGMENTS
TABLE 80. DORMAKABA HOLDING: PRODUCT PORTFOLIO
TABLE 81. LECIP HOLDINGS CORPORATION: COMPANY SNAPSHOT
TABLE 82. LECIP HOLDINGS CORPORATION: OPERATING SEGMENTS
TABLE 83. LG CNS: COMPANY SNAPSHOT
TABLE 84. LG CNS: OPERATING SEGMENTS
TABLE 85. NXP SEMICONDUCTORS N.V.: COMPANY SNAPSHOT
TABLE 86. NXP SEMICONDUCTORS N.V.: OPERATING SEGMENTS
TABLE 87. NXP SEMICONDUCTORS N.V.: PRODUCT PORTFOLIO
TABLE 88. OMRON CORPORATION: COMPANY SNAPSHOT
TABLE 89. OMRON CORPORATION: OPERATING SEGMENTS
TABLE 90. SAMSUNG SDS: COMPANY SNAPSHOT
TABLE 91. SAMSUNG SDS: OPERATING SEGMENTS
TABLE 92. SCHEIDT & BACHMANN GMBH: COMPANY SNAPSHOT
TABLE 93. SCHEIDT & BACHMANN GMBH: OPERATING SEGMENTS
TABLE 94. THALES GROUP: COMPANY SNAPSHOT
TABLE 95. 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, 2016–2019*
FIGURE 07. TOP WINNING STRATEGIES, BY YEAR, 2016–2019*
FIGURE 08. TOP WINNING STRATEGIES, BY COMPANY, 2016–2019*
FIGURE 09. MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 10. MODERATE THREAT OF NEW ENTRANTS
FIGURE 12. MODERATE-TO-HIGH THREAT OF SUBSTITUTES
FIGURE 13. MODERATE-TO-HIGH INTENSITY OF RIVALRY
FIGURE 14. MODERATE-TO-HIGH BARGAINING POWER OF BUYERS
FIGURE 15. MARKET SHARE ANALYSIS (2018)
FIGURE 16. VALUE CHAIN ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET
FIGURE 17. AUTOMATED FARE COLLECTION SYSTEM MARKET SHARE, BY APPLICATION, 2018–2026 (%)
FIGURE 18. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR BUS, BY COUNTRY, 2018 & 2026 (%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR TOLL, BY COUNTRY, 2018 & 2026 (%)
FIGURE 20. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR TRAIN, BY COUNTRY, 2018 & 2026 (%)
FIGURE 01. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR CAR RENTAL, BY COUNTRY, 2018 & 2026 (%)
FIGURE 02. AUTOMATED FARE COLLECTION SYSTEM MARKET SHARE, BY COMPONENT, 2018–2026 (%)
FIGURE 03. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR HARDWARE, BY COUNTRY, 2018 & 2026 (%)
FIGURE 04. AUTOMATED FARE COLLECTION SYSTEM MARKET FOR VALIDATORS, 2018-2026 ($MILLION)
FIGURE 05. AUTOMATED FARE COLLECTION SYSTEM MARKET FOR TURNSTILES, 2018-2026 ($MILLION)
FIGURE 06. AUTOMATED FARE COLLECTION SYSTEM MARKET FOR TICKET VENDING MACHINES, 2018-2026 ($MILLION)
FIGURE 07. AUTOMATED FARE COLLECTION SYSTEM MARKET FOR OTHERS, 2018-2026 ($MILLION)
FIGURE 08. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR SOFTWARE, BY COUNTRY, 2018 & 2026 (%)
FIGURE 09. AUTOMATED FARE COLLECTION SYSTEM MARKET SHARE, BY TECHNOLOGY PLATFORM, 2018–2026 (%)
FIGURE 10. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR SMART CARD, BY COUNTRY, 2018 & 2026 (%)
FIGURE 11. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR OCR, BY COUNTRY, 2018 & 2026 (%)
FIGURE 12. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR NFC, BY COUNTRY, 2018 & 2026 (%)
FIGURE 13. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET FOR OTHERS, BY COUNTRY, 2018 & 2026 (%)
FIGURE 14. GLOBAL AUTOMATED FARE COLLECTION SYSTEM MARKET, BY REGION, 2018-2026 (%)
FIGURE 15. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COUNTRY, 2018–2026 (%)
FIGURE 16. U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 17. CANADA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 18. MEXICO AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COUNTRY,  2018–2026 (%)
FIGURE 20. UK AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 21. GERMANY AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 22. FRANCE AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 23. SPAIN AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 24. RUSSIA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 25. REST OF EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 26. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COUNTRY,  2018–2026 (%)
FIGURE 27. CHINA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 28. INDIA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 29. JAPAN AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 30. SOUTH KOREA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 31. REST OF ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 32. COMPARATIVE SHARE ANALYSIS OF AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COUNTRY,  2018–2026 (%)
FIGURE 33. LATIN AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 34. MIDDLE EAST AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 35. AFRICA AUTOMATED FARE COLLECTION SYSTEM MARKET, 2018–2026 ($MILLION)
FIGURE 36. ATOS SE: REVENUE, 2016–2018 ($ MILLION)
FIGURE 37. ATOS SE: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 38. ATOS SE: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
FIGURE 39. CUBIC TRANSPORTATION SYSTEMS, INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 40. CUBIC TRANSPORTATION SYSTEMS, INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 41. CUBIC TRANSPORTATION SYSTEMS, INC.: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
FIGURE 42. DORMAKABA HOLDING: REVENUE, 2017–2019 ($MILLION)
FIGURE 43. DORMAKABA HOLDING: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 44. DORMAKABA HOLDING: REVENUE SHARE BY GEOGRAPHY, 2019 (%)
FIGURE 45. LECIP HOLDINGS CORPORATION: REVENUE, 2017–2019 ($MILLION)
FIGURE 46. LECIP HOLDINGS CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 47. LG CNS: REVENUE, 2016–2018 ($MILLION)
FIGURE 48. NXP SEMICONDUCTORS N.V.: REVENUE, 2016–2018 ($MILLION)
FIGURE 49. NXP SEMICONDUCTORS N.V.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 50. NXP SEMICONDUCTORS N.V.: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
FIGURE 51. OMRON CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 52. OMRON CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 53. OMRON CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
FIGURE 54. SAMSUNG SDS: REVENUE, 2016–2018 ($MILLION)
FIGURE 55. THALES GROUP: REVENUE, 2016–2018 ($MILLION)
FIGURE 56. THALES GROUP: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 57. THALES GROUP: REVENUE SHARE BY GEOGRAPHY, 2018 (%)

 
 

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 would 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.

 

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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 forecast period in the Automated Fare Collection System Market would be 2026

A. The market value of Automated Fare Collection System Market in 2019 is estimated to be $ 6,740.2 Million

A. The base year calculated in the Automated Fare Collection System Market report is 2018

A. The companies are selected based on the product offerings, organic and inorganic strategies adopted and Georgraphic footprint. Additional, the company tie ups with key OEMs and revenue generated are the key pointers for selection.

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

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.

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