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Automated Fare Collection System Market Analysis- Industry Size, Share, Research Report, Insights, Covid-19 Impact, Statistics, Trends, Growth and Forecast 2022-2030

Published Date: August, 2022
No of Pages: 172
Delivery Format: PDF + Excel

$2,950.00

Description of the Report

Automated System for Fare Collection System Market Statistics 2030

The automated fare collection market was estimated at $6,639.10 million in 2019 and is expected to grow to $12,753.75 million in 2027. This will be an increase of 11.6 percent.

Changes in the payment preferences of customers eliminate the cash requirement and reduce travel time, which helps eliminate long ticket queues and is a significant driver in the automatic fare collection market. Automated fare collection is an end-to-end solution that is contactless to collect fare payments, replacing traditional ticketing systems with automated ticketing. It includes automatic gate machines, ticket vending machines charging terminals, and ticket checkers. This system increases efficient fare collection, boosts the overall transaction rate, and helps save a lot of time by decreasing the time spent waiting in line and scouring for cash to purchase tickets. It is also an efficient method of revenue collection. It permits travelers to carry one card that can be used across all transportation modes.

The leading companies featured on the market for automated fare collections are Atos SE, Cubic Transportation Systems, Inc., dormakaba Holding, LECIP Group, LG CNS, NXP Semiconductors, OMRON Corporation, and Samsung SDS, Scheidt & Bacchhan Gmbh as well as Thales Group.

The automatic fare collection market report is divided according to the component, application, platform, and region. Based on the part, it is divided into software and hardware. In terms of application, it’s divided into the bus, toll train, and car rental. Based on the technology platform, it’s classified into intelligent cards, near-field communications, optical character recognition, and others (magnetic stripes and bar code).

It is then analyzed in North America, Europe, Asia-Pacific, and LAMEA.

Top Factors Impacting HTML0

The significant factors that impact the expansion of the automated fare collection market are open payment via contactless, rising demand for smartphones, improved efficiency, low rates of fraud, improved transport infrastructure, security systems, and various fare options. Furthermore, aspects like increasing the speed of public transport, growth of payment technology, and interoperability across the globe have improved the market. All of these are expected to significantly influence the automatic fare collection market in the coming years (20202027).

Open contactless payment

The demand for convenient and user-friendly modes of payment for fares has grown dramatically. Contactless open payments benefit consumers since their credit or debit cards function as a ticket office, resulting in a simple fare payment. By adopting an automated system for the cost of fares, based on open standards in the industry, transit authorities can allow customers to use the contactless available payment methods for payment at the point of entry. Thus, customers do not have to carry cash or wait in long lines to purchase tickets. Contactless open payments mean agencies don’t have to provide massive fare media management or distribution systems. The available contactless amount decreases the requirement for a customized ticketing system and the cost, but also businesses can consolidate smaller transactions and incur fewer costs. Transit operators can accept contactless cards as a means of payment to pay for commuters. Bank card systems can be added to most existing systems, allowing customers to select their preferred payment method. This is due to the lower operating costs and improved customer service. The contactless open payment will boost the growth of the market very shortly.

Due to the spreading of the COVID-19 pandemic, the reopening of public spaces is focused on the security of passengers during their journeys. Contactless payment is the best way to pay for tickets with the highest safety standards and a shorter operating time. For example, Visa has expanded contactless payment for its public transportation system to over 500 cities worldwide since the COVID-19 epidemic continues to impact social interactions. Visa predicts that around 65% of cards available will be contactless payment cards at the end of 2020 due to security issues, speed, and convenience.

A growing the demand for phones

Smartphones have been a crucial device for online ticketing, increasing the development in the automatic fare collection market. Smartphones make buying tickets more efficient and practical with standalone apps to travel on trains and buses, which boosts the market’s growth. Customers can buy any kind of ticket and also make payments in cash.

Additionally, one of the significant benefits of using mobile applications to book tickets is that it decreases boarding time and reduces cash handling procedures. Customers nowadays appreciate the convenience of having preloaded cards to improve the experiences for travelers.

Increased effectiveness

Automated fare collection eliminates cash payments and the concerns that come with the language barrier between the driver and the passenger, making it easy to pay with smartcards. Every time you swipe your card, vital information is gathered and immediately stored in databases to facilitate the efficient handling of transactions, speedier transactions, and less time to process. Furthermore, it permits retailers to manage records effectively and efficiently manage large amounts of transactions. Additionally, AFC systems allow quick service and self-service, which means there is little or no wait time for customers, which lowers the total operational time and increases the efficiency of the whole process. In addition, speedier transaction processing permits staff to quickly create tickets and fare tokens. This Automatic Fare collection (AFC) system has increased the effectiveness of collecting fare boxes and made the process easier for commuters, consequently boosting the market’s growth.

Low rates of fraud

Smartcard technology is more popular than tickets printed on paper due to the high capacity for data storage and the high degree of secure encryption. Public transport companies suffer financial losses due to Visa or fare fraud. The automated fare collecting systems permit access only to those who have obtained the token in exchange for payment or have enough to balance their smart card. This technology can reduce the risk of fraud and stop counterfeiting.

AFC lets transit operators enhance their financial management and monitor transfers, sales of media, or cash-based transactions. Through fully-automated fare collections, fraud on tickets is reduced, and efficient control measures can be put in place due to the robust report-writing capabilities offered by the AFC platform. The platform also lets operators mitigate or limit the responsibility of cash handling staff, reducing fraud and increasing the automated fare collection market size.

Better transport infrastructure as well as a security system

In recent years, the governments of Singapore, China, and other countries have been focusing on enhancing their respective nations’ transport structures and security systems. The land transportation authority (LTA) has utilized more than 4,800 buses for public transportation in Singapore. Multi-modal AFC system for public transport in Malaysia lets passengers easily travel by trains, buses or light rail transit, or express rail between different cities with the same payment system, that is, a single, contactless smart card. This boosts the acceptance rate of such systems since they’re attractive and practical for travelers.

CoVID-19 Impact Analysis

In the present health crisis caused by COVID-19 unimaginable times call for inventive solutions. The payments technology industry provides options for individuals to help each other and the community securely and efficiently with minimal or no physical interactions. Because of COVID-19’s Impact analysis, the public transportation system feels the most significant negative impact, as individuals are advised to remain at home and work from home as much as feasible. In March 2020, public transportation in most cities has been either wholly or entirely stopped. Although the restrictions on public transport were lifted in part over the last 2 or 3 months, the major cities are experiencing a 70 percent to 90 percent reduction in public transportation ridership.

The current payments have seen dramatic shifts across the globe, as consumers are moving towards electronic payment systems to conduct payments that do not require contact. In the post-COVID-19 scenario coming in near time, health concerns and the use of digital technologies, such as contactless and automated payment systems, are likely to increase in the coming decade. Lockdowns, social distancing, and other restrictions imposed due to the COVID-19 crises have been directing people to expand their use of automatic fare collecting systems.

Asia Pacific would exhibit the most impressive CAGR of 14.4 percent from 2020 to 2030.

The Benefits for Stakeholders

  • This research presents an analysis of the automated fare collection system’s market trends along with forecasts for the future and current trends to illustrate the future investment opportunities.
  • The potential of the whole is assessed to determine the most profitable patterns to get a better base.
  • This automated system for fare collecting analysis report gives information related to the most important drivers, restrictions, and opportunities, along with a thorough analysis of the impact.
  • The present growth and automated fare collection system market forecasts have been analyzed quantitatively from 2019 to 2027 to evaluate financial proficiency.
  • Porter’s Five Forces Analysis demonstrates the potential of the customers and the suppliers of the automated fare collection system.
  • The study also includes the automated market for the fare collection system that assists crucial players in their decision-making.
  • The top players in the field expect a high margin of revenue from automated fare collection systems market returns.
Automated Fare Collection System Market Report Scope and Segmentation
ATTRIBUTESDETAILS
ESTIMATED YEAR2022
BASE YEAR2021
FORECAST YEAR2030
HISTORICAL YEAR2017-2021
UNITValue (USD Million/Billion)
BY REGIONNorth America, Europe, Asia Pacific, Latin America, Middle East and Africa

Market Segments Key Market Segments

Through Application

  • Bus
  • Toll
  • Train
  • Car Rental

By Component

  • Hardware
  • Software

By Technology Platform

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

Regional Analysis

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • Italy
    • France
    • UK
    • Spain
    • Poland
    • Russia
    • The Netherlands
    • Norway
    • Czech Republic
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Indonesia
    • Malaysia
    • Thailand
    • Singapore
    • Australia & New Zealand
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Rest of South America
  • The Middle East & Africa
    • Saudi Arabia
    • UAE
    • South Africa
    • Northern Africa
    • Rest of MEA

Principal Market Participants

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

Table of Contents

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.PORTERS 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, 20192027 ($MILLION)
TABLE 02.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR BUS, BY REGION 20192027 ($MILLION)
TABLE 03.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR TOLL, BY REGION 20192027 ($MILLION)
TABLE 04.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR TRAIN, BY REGION 20192027 ($MILLION)
TABLE 05.AUTOMATED FARE COLLECTION SYSTEM MARKET REVENUE FOR CAR RENTAL, BY REGION 20192027 ($MILLION)
TABLE 06.AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 2019-2027 ($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 ($MILLION)
TABLE 14.AUTOMATED FARE COLLECTION SYSTEM MARKET, BY REGION 20192027 ($MILLION)
TABLE 15.NORTH AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 16.NORTH AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 17.NORTH AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 18.U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 19.U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 20.U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 21.CANADA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 22.CANADA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 23.CANADA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 24.MEXICO AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 25.MEXICO AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 26.MEXICO AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 27.EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 28.EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 29.EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 30.UK AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 31.UK AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 32.UK AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 33.GERMANY AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 34.GERMANY AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 35.GERMANY AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 36.FRANCE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 37.FRANCE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 38.FRANCE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 39.SPAIN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 40.SPAIN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 41.SPAIN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 42.RUSSIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 43.RUSSIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 44.RUSSIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 45.REST OF EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 46.REST OF EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 47.REST OF EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 48.ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 49.ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 50.ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 51.CHINA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 52.CHINA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 53.CHINA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 54.INDIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 55.INDIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 56.INDIA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 57.JAPAN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 58.JAPAN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 59.JAPAN AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 60.SOUTH KOREA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 61.SOUTH KOREA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 62.SOUTH KOREA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 63.REST OF ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 64.REST OF ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 65.REST OF ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 66.LAMEA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 67.LAMEA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 68.LAMEA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 69.LATIN AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 70.LATIN AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 71.LATIN AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 72.MIDDLE EAST AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 73.MIDDLE EAST AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 74.MIDDLE EAST AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($MILLION)
TABLE 75.AFRICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY APPLICATION, 20192027 ($MILLION)
TABLE 76.AFRICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY COMPONENT, 20192027 ($MILLION)
TABLE 77.AFRICA AUTOMATED FARE COLLECTION SYSTEM MARKET, BY TECHNOLOGY PLATFORM, 20192027 ($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, 20172020*
FIGURE 07.TOP WINNING STRATEGIES, BY YEAR, 20172020*
FIGURE 08.TOP WINNING STRATEGIES, BY COMPANY, 20172020*
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, 20192027 (%)
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, 20192027 (%)
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, 20192027 (%)
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, 20192027 (%)
FIGURE 35.U.S. AUTOMATED FARE COLLECTION SYSTEM MARKET,

Major Companies

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

Major Segmentation

Through Application

  • Bus
  • Toll
  • Train
  • Car Rental

By Component

  • Hardware
  • Software

By Technology Platform

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

 

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