Automated fare collection system is a contactless, end-to-end result for collecting fare payment, replacing traditional ticketing system with automated ticketing and fare collection systems. It comprises automatic gate machines, ticket vending machines, recharging terminals, and ticket checking machines. This system enables 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 the easiest method for revenue collection. It offers travelers to carry one card for use on all transit modes. For instance, in December 2015, UAE with Xerox Transportation solutions introduced automated fare collection system for Abu Dhabi buses, which reduced traffic congestion and waiting in queues.
An automated fare collection system has various software enabled features including Oracle, Sybase support, support multitier architecture, and XML web services. Fare collection technology platforms such as Smart cards, NFC and OCR systems ensures full interoperability and independence of service providers. Factors such as increase in demand for smartphones, enhanced efficiency, reduced frauds, flexible fare plans, and enhanced security system strengthen the growth of this market. In addition, the government of India, China, and others are focusing on enriching the transport infrastructure and security system, which further drives the growth of the market. However, high installation and maintenance costs of automated fare collection system hinder the market growth. Opportunities such as increase in high speed of public transport, rise of technology payment, and global interoperability are likely to foster market growth.
The market is segmented on the basis of component, application, technology platform, and geography. On the basis of component, the market is categorized into hardware and software. Application wise, it is segmented into bus, toll, car rental, and train. Besides these, on the basis of technology platform, the market is divided into smart cards, near field communications, optical character recognition, and others (magnetic strips and bar codes). Smart cards generated maximum revenue in 2015 and would continue to dominate the market throughout the forecast period. Geographically, the market is segmented across North America, Europe, Asia-Pacific, and LAMEA.
Key players operating in the global automated fare collection system market are Advanced Card Systems Ltd., Atos SE, Cubic Transportation Systems, LG CNS, NXP Semiconductors, Omron Corporation, Samsung SDS, Scheidt & Bachmann, LECIP Group and Thales Group.
KEY BENEFITS
MARKET SEGMENTATION
On the Basis of Component
On the Basis of Application
On the Basis of Technology Platform
On the Basis of Geography
Key Players
CHAPTER 1 INTRODUCTION
1.1 Report description
1.2 Key benefits
1.3 Key market segments
1.4 Research methodology
1.4.1 Secondary research
1.4.2 Primary 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 Top impacting factors
3.3 Top investment pockets
3.4 Top winning strategies
3.5 Porters five forces analysis
3.5.1 Moderate bargaining power of the suppliers due to wide availability of products
3.5.2 High bargaining power of buyer
3.5.3 Moderate threat from new firms in the market
3.5.4 High threat from substitutes in the market
3.5.5 Presence of numerous competitors creates high degree of competition
3.6 Value chain analysis
3.7 Market share analysis, 2015
3.8 Market dynamics
3.8.1 Drivers
3.8.1.1 CONTACTLESS OPEN PAYMENT
3.8.1.2 INCREASING DEMAND OF SMARTPHONES
3.8.1.3 ENHANCED EFFICIENCY
3.8.1.4 REDUCE FRAUD RATES
3.8.1.5 ENHANCED TRANSPORT INFRASTRUCTURE AND SECURITY SYSTEM
3.8.1.6 FLEXIBLE FARE PLANS
3.8.2 RESTRAINTS
3.8.2.1 HIGH INSTALLATION COST
3.8.2.2 HIGH MAINTENANCE COST
3.8.3 OPPORTUNITIES
3.8.3.1 INCREASE IN HIGH SPEED OF PUBLIC TRANSPORT
3.8.3.2 RISE OF TECHNOLOGY PAYMENT
3.8.3.3 GLOBAL INTER-OPERABILITY
CHAPTER 4 WORLD AUTOMATED FARE COLLECTION SYSTEM MARKET BY APPLICATION
4.1 Market size and forecast
4.1.1 Bus fare collection
4.1.1.1 Key trends
4.1.1.2 Competitive scenario
4.1.1.3 Key growth factors and opportunities
4.1.1.4 Market size and forecast
4.1.2 Electronic toll collection
4.1.2.1 Key trends
4.1.2.2 Competitive scenario
4.1.2.3 Key growth factors and opportunities
4.1.2.4 Market size and forecast
4.1.3 Train fare collection
4.1.3.1 Key trends
4.1.3.2 Competitive scenario
4.1.3.3 Key growth factors and opportunities
4.1.3.4 Market size and forecast
4.1.4 Car rental fare collection
4.1.4.1 Key trends
4.1.4.2 Competitive scenario
4.1.4.3 Key growth factors and opportunities
4.1.4.4 Market size and forecast
CHAPTER 5 WORLD AUTOMATED FARE COLLECTION SYSTEM MARKET BY COMPONENT
5.1 Market size and forecast
5.1.1 Hardware
5.1.1.1 Key trends
5.1.1.2 Competitive scenario
5.1.1.3 Key growth factors and opportunities
5.1.1.4 Market size and forecast
5.1.1.4.1 VALIDATORS
5.1.1.4.2 TURNSTILES
5.1.1.4.3 TICKET VENDING MACHINES
5.1.1.4.4 OTHERS
5.1.2 Software
5.1.2.1 Key trends
5.1.2.2 Competitive scenario
5.1.2.3 Key growth factors and opportunities
5.1.2.4 Market size and forecast
CHAPTER 6 WORLD AUTOMATED FARE COLLECTION SYSTEM MARKET BY TECHNOLOGY PLATFORM
6.1 Market size and forecast
6.1.1 Smart card
6.1.1.1 Key market trends
6.1.1.2 Competitive scenario
6.1.1.3 Key growth factors and opportunities
6.1.1.4 Market size and forecast
6.1.2 Optical character recognition (OCR)
6.1.2.1 Key market trends
6.1.2.2 Competitive scenario
6.1.2.3 Key growth factors and opportunities
6.1.2.4 Market size and forecast
6.1.3 Near field communication (NFC)
6.1.3.1 Key market trends
6.1.3.2 Competitive scenario
6.1.3.3 Key growth factors and opportunities
6.1.3.4 Market size and forecast
6.1.4 Others (magnetic strip and bar coding)
6.1.4.1 Key market trends
6.1.4.2 Competitive scenario
6.1.4.3 Key growth factors and opportunities
6.1.4.4 Market size and forecast
6.1.4.4.1 MAGNETIC STRIPE
6.1.4.4.2 BAR CODING
CHAPTER 7 WORLD AUTOMATED FARE COLLECTION SYSTEM MARKET BY GEOGRAPHY
7.1 North America
7.1.1 Key market trends
7.1.2 Competitive scenario
7.1.3 Key drivers and opportunities
7.1.4 Market size and forecast
7.2 Europe
7.2.1 Key market trends
7.2.2 Competitive scenario
7.2.3 Key drivers and opportunities
7.2.4 Market size and forecast
7.3 Asia-Pacific
7.3.1 Key market trends
7.3.2 Competitive scenario
7.3.3 Key drivers and opportunities
7.3.4 Market size and forecast
7.4 LAMEA
7.4.1 Key market trends
7.4.2 Competitive scenario
7.4.3 Key drivers and opportunities
7.4.4 Market size and forecast
CHAPTER 8 COMPANY PROFILES
8.1 OMRON Corporation
8.1.1 Company overview
8.1.2 Business performance
8.1.3 Strategic moves and developments
8.1.4 SWOT Analysis of Omron Corporation
8.2 THALES
8.2.1 Company overview
8.2.2 Business performance
8.2.3 Strategic moves and developments
8.2.4 SWOT analysis of Thales Group
8.3 Advanced Card Systems Ltd.
8.3.1 Company overview
8.3.2 Business performance
8.3.3 Strategic moves and developments
8.3.4 SWOT analysis of Advanced Card Systems Ltd.
8.4 Cubic Transportation Systems
8.4.1 Company overview
8.4.2 Business performance
8.4.3 Strategic moves and developments
8.4.4 SWOT analysis of Cubic Transportation Systems.
8.5 Atos SE
8.5.1 Company overview
8.5.2 Business performance
8.5.3 SWOT analysis of Atos SE
8.6 NXP Semiconductors
8.6.1 Company overview
8.6.2 Business performance
8.6.3 Strategic moves and developments
8.6.4 SWOT analysis of NXP Semiconductors
8.7 LECIP Group
8.7.1 Company overview
8.7.2 Business performance
8.7.3 Strategic moves and developments
8.7.4 SWOT analysis of LECIP Group
8.8 SCHEIDT & BACCHHAN GmbH
8.8.1 Company overview
8.8.2 Strategic moves and developments
8.8.3 SWOT analysis of Scheidt & Bachmann
8.9 LG CNS
8.9.1 Company overview
8.9.2 Business performance
8.9.3 Strategic moves and developments
8.9.4 SWOT analysis of LG CNS
8.10 Samsung SDS
8.10.1 Company overview
8.10.2 Business performance
8.10.3 Strategic moves and developments
8.10.4 SWOT analysis of Samsung SDS
List of Figures
FIG. 1 TOP IMPACTING FACTORS
FIG. 2 TOP INVESTMENT POCKETS
FIG. 3 TOP WINNING STRATEGIES IN AUTOMATED FARE COLLECTION MARKET (PERCENTAGE COMPARISON) (JAN 2013-FEB 2016)
FIG. 4 TOP WINNING STRATEGY ANALYSIS IN AUTOMATED FARE COLLECTION MARKET
FIG. 5 PORTERS FIVE FORCES ANALYSIS OF AUTOMATED FARE COLLECTION MARKET
FIG. 6 VALUE CHAIN ANALYSIS OF AUTOMATED FARE COLLECTION MARKET
FIG. 7 MARKET SHARE ANALYSIS, 2015
FIG. 8 OCR PROCESS
FIG. 9 SMART CARD APPLICATIONS
FIG. 10 NFC APPLICATIONS
FIG. 11 NET SALES OF OMRON CORPORATION, 2012 2015 ($MILLION)
FIG. 12 NET SALES OF OMRON CORPORATION, BY BUSINESS SEGMENT (%), 2015
FIG. 13 NET SALES OF OMRON CORPORATION, BY GEOGRAPHY (%), 2015
FIG. 14 NET SALES OF THALES GROUP, 2012 2015 ($MILLION)
FIG. 15 NET SALES OF THALES GROUP, BY GEOGRAPHY (%), 2015
FIG. 16 NET SALES OF THALES GROUP, BY BUSINESS SEGMENT (%), 2015
FIG. 17 SWOT ANALYSIS OF THALES GROUP
FIG. 18 REVENUE OF ADVANCED CARD SYSTEMS LTD., 2012 2014 ($MILLION)
FIG. 19 REVENUE OF ADVANCED CARD SYSTEMS LTD., BY GEOGRAPHY (%), 2014
FIG. 20 REVENUE OF ADVANCED CARD SYSTEMS LTD., BY BUSINESS SEGMENT (%), 2014
FIG. 21 SWOT ANALYSIS OF ADVANCED CARD SYSTEMS LTD.
FIG. 22 NET SALES OF CUBIC TRANSPORTATION SYSTEMS, 2012-2015 ($MILLION)
FIG. 23 NET SALES OF CUBIC TRANSPORTATION SYSTEMS, BY GEOGRAPHY (%), 2014
FIG. 24 SWOT ANALYSIS OF CUBIC TRANPORTATION SYSTEMS
FIG. 25 REVENUE OF ATOS SE, 2012-2015 ($MILLION)
FIG. 26 REVENUE OF ATOS SE BY GEOGRAPHY (%), 2015
FIG. 27 REVENUE OF ATOS SE BY BUSINESS SEGMENT (%), 2015
FIG. 28 SWOT ANALYSIS OF ATOS SE
FIG. 29 REVENUE OF NXP SEMICONDUCTORS 2012-2015 ($MILLION)
FIG. 30 REVENUE OF NXP SEMICONDUCTORS, BY BUSINESS SEGMENT (%), 2015
FIG. 31 SWOT ANALYSIS OF NXP SEMICONDUCTORS
FIG. 32 NET SALES OF LECIP GROUP, BY BUSINESS SEGMENT, 2015 (%)
FIG. 33 SWOT ANALYSIS OF LECIP GROUP
FIG. 34 SWOT ANALYSIS OF SCHEIDT & BACHMANN
FIG. 35 NET SALES OF LG CNS, 2012 2014 ($MILLION)
FIG. 36 SWOT ANALYSIS OF LG CNS
FIG. 37 REVENUE OF SAMSUNG SDS, 2013 2015 ($MILLION)
FIG. 38 SWOT ANALYSIS OF SAMSUNG SDS
List of Tables
TABLE 1 WORLD AUTOMATED FARE COLLECTION SYSTEM MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 2 WORLD AUTOMATED FARE COLLECTION SYSTEM MARKET BY APPLICATION TYPE, 2015-2022 ($MILLION)
TABLE 3 WORLD AUTOMATED BUS FARE COLLECTION SYSTEM MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 4 WORLD AUTOMATED TOLL FARE COLLECTION SYSTEM MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 5 WORLD AUTOMATED TRAIN FARE COLLECTION SYSTEM MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 6 WORLD AUTOMATED CAR RENTAL FARE COLLECTION SYSTEM MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 7 WORLD AUTOMATED FARE COLLECTION SYSTEM MARKET BY COMPONENT, 2015-2022 ($MILLION)
TABLE 8 WORLD AUTOMATED AUTOMATED FACRE COLLECTION HARDWARE SYSTEM MARKET BY GEOGRAPHY TYPE, 2015-2022 ($MILLION)
TABLE 9 WORLD AUTOMATED FACRE COLLECTION SOFTWARE MARKET BY GEOGRAPHY TYPE, 2015-2022 ($MILLION)
TABLE 10 WORLD AUTOMATED FARE COLLECTION SYSTEM MARKET BY TECHNOLOGY PLATFORM, 2015-2022($MILLION)
TABLE 11 WORLD SMART CARD TECHNOLOGY PLATFORM IN AUTOMATED FARE COLLECTION SYSTEM MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 12 WORLD OCR TECHNOLOGY PLATFORM IN AUTOMATED FARE COLLECTION SYSTEM MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 13 WORLD NFC TECHNOLOGY PLATFORM IN AUTOMATED FARE COLLECTION SYSTEM MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 14 WORLD OTHER TECHNOLOGY PLATFORM IN AUTOMATED FARE COLLECTION SYSTEM MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 15 NORTH AMERICA AUTOMATED FARE COLLECTION SYSTEM MARKET BY APPLICATION TYPE, 2015-2022 ($MILLION)
TABLE 16 EUROPE AUTOMATED FARE COLLECTION SYSTEM MARKET BY APPLICATION TYPE, 2015-2022 ($MILLION)
TABLE 17 ASIA-PACIFIC AUTOMATED FARE COLLECTION SYSTEM MARKET BY APPLICATION TYPE, 2015-2022 ($MILLION)
TABLE 18 LAMEA AUTOMATED FARE COLLECTION SYSTEM MARKET BY APPLICATION TYPE, 2015-2022 ($MILLION)
TABLE 19 SNAPSHOT OF OMRON CORP.
TABLE 20 SWOT ANAYSIS OF OMRON CORPORATION
TABLE 21 SNAPSHOT OF ADVANCED CARD SYSTEMS LTD.
TABLE 22 SNAPSHOT OF CUBIC TRANSPORTATION SYSTEMS
TABLE 23 SNAPSHOT OF ATOS SE
TABLE 24 SNAPSHOT OF NXP SEMICONDUCTORS
TABLE 25 SNAPSHOT OF LECIP GROUP
TABLE 26 SNAPSHOT OF SCHEIDT & BACHMANN
TABLE 27 SNAPSHOT OF LG CNS
TABLE 28 SNAPSHOT OF SAMSUNG SDS
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Published On : December 2019
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Published On : December 2019
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Published On : December 2019
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Published On : December 2019
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