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Automated Fare Collection System Market By Application (Bus, Toll, Train and Car rental), By Component (Software & Services, hardware) By Technology Platform (Smart card, NFC, OCR, and Others), By Geography (North America, Europe, Asia Pacific and Rest of World), Global Opportunity Analysis and Industry Forecast, 2016 - 2024

September 2017 | 155 pages | ID: ACD25E8F925EN
Esticast Research & Consulting

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Automated Fare Collection System Market was valued at $4.81 billion in 2016 and is projected to reach $12.81 billion by 2024, growing at a CAGR of 13.3% from 2017 to 2024.

An automated fare collection system also called as AFC system is the set of components that automate the ticketing system of a public transportation network by an automated and improvised version of manual fare collection. The AFC system is usually the basis for integrated ticketing. Various technologies like contactless smart cards have been seen more frequently in AFC, This system enables efficiency in fare collection, improves the overall transaction rate, and saves an 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. AFC offers travelers to carry one card for use on all transit modes. For Example, Delhi Metro Rail has provided smart cards which reduced traffic congestion and waiting in queues. The AFC system consists of the components like automatic gate machine, ticket vending machine and ticket checking machine.

MARKET DETERMINANTS

Factors that are driving the growth of the AFC market are the enhanced benefits of AFC. Orientation of the people towards adopting new technologies, and the development of new technologies for AFC such as advanced traffic management system, commercial vehicle operation, AFC enabled retail system, automated transportation pricing system, and advanced public transportation system are driving the AFC market growth. This technology also helps to eliminate the need for carrying out operations manually, which is a very hectic task. AFC also reduces the risk of errors, as the operations carried out by machines are more accurate and precise, and the probability of errors is very less. Another major plus point of the AFC technology is that it is much more effective in terms of security for transactions as compared to other manual methods. Influenced by these factors, the governments of various countries are investing on numerous AFC projects. However, Lack of Awareness and limited use of smart cards can act as the restraints for the growth of AFC Market.

MARKET SEGMENTATION

The segmentation of the AFC market is done on the basis of Component, Application, Technology Platform and Geography. On the basis of the component, the market is segmented as Hardware and Software. By application, the market is segmented as Bus, Toll, Train, and Car rentals. On the basis of technology platform, the market is segmented as Smart Card, NFC, OCR and Others. On the basis of geography, the market is segmented as North America, Europe, Asia-Pacific and Rest of World.

Some major players in the market are Advanced Card Systems Ltd., Atos SE, Cubic Transportation Systems, LG CNS, NXP Semiconductors, Omron Corp., Samsung SDS, Scheidt & Bachmann, Thales Group, LECIP Group.

AUTOMATED FARE COLLECTION SYSTEM market segmentation:

On the Basis of Component
  • Hardware
  • Software
On the Basis of Application
  • Bus
  • Toll
  • Train
  • Car Rental
On the Basis of Technology Platform
  • Smart Card
  • NFC
  • OCR
  • Others (Magnetic Strips and Bar Codes)
On the Basis of Geography
  • North America
  • Europe
  • Asia-Pacific
  • LAMEA
KEY MARKET PLAYERS
  • Advanced Card Systems Ltd.
  • Atos SE
  • Cubic Transportation Systems
  • LG CNS
  • NXP Semiconductors
  • Omron Corp.
  • Samsung SDS
  • Scheidt & Bachmann
  • Thales Group
  • LECIP Group
CHAPTER 1. INTRODUCTION

1.1. RESEARCH METHODOLOGY
  1.1.1. ERC desk research
  1.1.2. ERC data synthesis
  1.1.3. Data validation and market feedback
  1.1.4. ERC data sources
1.2. RESEARCH SCOPE

CHAPTER 2. MARKET LANDSCAPE

2.1. RESEARCH SUMMARY
2.2. VALUE CHAIN ANALYSIS
2.3. FIVE FORCES ANALYSIS
2.4. MARKET PLAYER POSITIONING
2.5. DEMAND FORECAST
2.6. BUSINESS INTELLIGENCE & STRATEGIC ANALYSIS
2.7. MARKET DETERMINANTS
  2.6.1. Key impacting factors
  2.6.2. Drivers
    2.6.2.1. Decrease in fraud rates
    2.6.2.2. Manageable fare plans
    2.6.2.3. Improved efficiency
    2.6.2.4. Improves security transport & infrastructure system
    2.6.2.5. Contactless payment
  2.6.3. Restraints
    2.6.3.1. High initial investment
    2.6.3.2. High maintainance cost
  2.6.4. Opportunities
    2.6.4.1. Rise in the technology payment sector
    2.6.4.2. Improvement in public transport

CHAPTER 3. GLOBAL AUTOMATED FARE COLLECTION MARKET BY APPLICATION

3.1. SEGMENT OUTLINE
3.2. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY APPLICATION, 2016-2024
3.3. BUS FARE COLLECTION
  3.3.1. Trend analysis
  3.3.2. Market growth indicators
  3.3.3. Global bus fare collection market revenue by region, 2016-2024
3.4. ELECTRONIC TOLL FARE COLLECTION
  3.4.1. Trend analysis
  3.4.2. Market growth indicators
  3.4.3. Global electronic toll fare collection market revenue by region, 2016-2024
3.5. TRAIN FARE COLLECTION
  3.5.1. Trend analysis
  3.5.2. Market growth indicators
  3.5.3. Global train fare collection market revenue by region, 2016-2024
3.6. CAR RENTAL FARE COLLECTION
  3.6.1. Trend analysis
  3.6.2. Market growth indicators
  3.6.3. Global car rental fare collection market revenue by region, 2016-2024

CHAPTER 4. GLOBAL AUTOMATED FARE COLLECTION MARKET BY COMPONENT

4.1. SEGMENT OUTLINE
4.2. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY COMPONENT, 2016-2024
4.3. SOFTWARE AND SERVICES
  4.3.1. Trend analysis
  4.3.2. Market growth indicators
  4.3.3. Global software & services fare collection market revenue by region, 2016-2024
4.4. HARDWARE
  4.4.1. Trend analysis
  4.4.2. Market growth indicators
  4.4.3. Global hardware fare collection market revenue by region, 2016-2024

CHAPTER 5. GLOBAL AUTOMATED FARE COLLECTION MARKET BY TECHNOLOGY PLATFORM

5.1. SEGMENT OUTLINE
5.2. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY TECHNOLOGY PLATFORM, 2016-2024
5.3. SMART CARD
  5.3.1. Trend analysis
  5.3.2. Market growth indicators
  5.3.3. Global smart card fare collection market revenue by region, 2016-2024
5.4. NEAR FIELD COMMUNICATION (NFC)
  5.4.1. Trend analysis
  5.4.2. Market growth indicators
  5.4.3. Global near field communication fare collection market revenue by region, 2016-2024
5.5. OPTICAL CHARACTER RECOGNITION (OCR)
  5.5.1. Trend analysis
  5.5.2. Market growth indicators
  5.5.3. Global optical character recognition fare collection market revenue by region, 2016-2024
5.6. OTHERS (BARCODING & MAGNETIC STRIPS)
  5.6.1. Trend analysis
  5.6.2. Market growth indicators
  5.6.3. Global other fare collection market revenue by region, 2016-2024

CHAPTER 6. GLOBAL AUTOMATED FARE COLLECTION MARKET BY GEOGRAPHY

6.1. SEGMENT OUTLINE
6.2. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY GEOGRAPHY, 2016-2024
6.3. NORTH AMERICA
  6.3.1. Trend analysis, Market growth indicators
  6.3.2. Market estimate and forcast
  6.3.3. North America automated fare collection market revenue by application type, 2016-2024
6.4. EUROPE
  6.4.1. Trend analysis, Market growth indicators
  6.4.2. Market estimate and forcast
  6.4.3. Europe automated fare collection market revenue by application type, 2014-2024
6.5. ASIA PACIFIC
  6.5.1. Trend analysis, Market growth indicators
  6.5.2. Market estimate and forcast
  6.5.3. Asia Pacific automated fare collection market revenue by application type, 2016-2024
6.6. REST OF THE WORLD
  6.6.1. Trend analysis, Market growth indicators
  6.6.2. Market estimate and forcast
  6.6.3. Rest of the world automated fare collection market revenue by application type, 2016-2024

CHAPTER 7. KEY VENDOR PROFILES

7.1. LG CNS CO., LTD
  7.1.1. Company overview
  7.1.2. Company snapshot
  7.1.3. Business overview
  7.1.4. Strategic Analysis
7.2. SCHEIDT & BACHMANN GMBH
  7.2.1. Company overview
  7.2.2. Company snapshot
  7.2.3. Business overview
  7.2.4. Strategic Analysis
7.3. SAMSUNG SDS
  7.3.1. Company overview
  7.3.2. Company snapshot
  7.3.3. Business overview
  7.3.4. Strategic Analysis
7.4. ATOS SE
  7.4.1. Company overview
  7.4.2. Company snapshot
  7.4.3. Business overview
  7.4.4. Strategic Analysis
7.5. ADVANCED CARD SYSTEMS HOLDINGS LTD.
  7.5.1. Company overview
  7.5.2. Company snapshot
  7.5.3. Business overview
  7.5.4. Strategic Analysis
7.6. OMRON CORPORATION
  7.6.1. Company overview
  7.6.2. Company snapshot
  7.6.3. Business overview
  7.6.4. Strategic Analysis
7.7. CUBIC TRANSPORTATION SYSTEMS
  7.7.1. Company overview
  7.7.2. Company snapshot
  7.7.3. Business overview
  7.7.4. Strategic Analysis
7.8. THALES
  7.8.1. Company overview
  7.8.2. Company snapshot
  7.8.3. Business overview
  7.8.4. Strategic Analysis
7.9. NXP SEMICONDUCTORS
  7.9.1. Company overview
  7.9.2. Company snapshot
  7.9.3. Business overview
  7.9.4. Strategic Analysis
7.10. LECIP GROUP
  7.10.1. Company overview
  7.10.2. Company snapshot
  7.10.3. Business overview
  7.10.4. Strategic Analysis

LIST OF TABLES

TABLE NO 1. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY APPLICATION, 2016-2024 ($MILLION)
TABLE NO 2. GLOBAL BUS FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
TABLE NO 3. GLOBAL ELECTRONIC TOLL FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
TABLE NO 4. GLOBAL TRAIN FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
TABLE NO 5. GLOBAL CAR RENTAL FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
TABLE NO 6. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY COMPONENT, 2016-2024 ($MILLION)
TABLE NO 7. GLOBAL SOFTWARE & SERVICES FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
TABLE NO 8. GLOBAL HARDWARE FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($ MILLION)
TABLE NO 9. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY TECHNOLOGY PLATFORM, 2016-2024 ($MILLION)
TABLE NO 10. GLOBAL SMART CARD FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
TABLE NO 11. GLOBAL NEAR FIELD COMMUNICATION FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
TABLE NO 12. GLOBAL OPTICAL CHARACTER RECOGNITION FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
TABLE NO 13. GLOBAL OTHER FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
TABLE NO 14. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY GEOGRAPHY, 2016-2024 ($MILLION)
TABLE NO 15. NORTH AMERICA AUTOMATED FARE COLLECTION MARKET REVENUE BY APPLICATION TYPE, 2016-2024 ($MILLION)
TABLE NO 16. EUROPE AUTOMATED FARE COLLECTION MARKET REVENUE BY APPLICATION TYPE, 2014-2024 ($MILLION)
TABLE NO 17. ASIA PACIFIC AUTOMATED FARE COLLECTION MARKET REVENUE BY APPLICATION TYPE, 2016-2024 ($MILLION)
TABLE NO 18. REST OF THE WORLD AUTOMATED FARE COLLECTION MARKET REVENUE BY APPLICATION TYPE, 2016-2024 ($MILLION)
TABLE NO 19. LG CNS CO., LTD SNAPSHOT
TABLE NO 20. KEY STRATEGIES – LG CNS CO., LTD
TABLE NO 21. SCHEIDT & BACHMANN GMBH SNAPSHOT
TABLE NO 22. KEY STRATEGIES – SCHEIDT & BACHMANN GMBH
TABLE NO 23. SAMSUNG SDS SNAPSHOT
TABLE NO 24. KEY STRATEGIES – SAMSUNG SDS
TABLE NO 25. ATOS SE SNAPSHOT
TABLE NO 26. KEY STRATEGIES – ATOS SE
TABLE NO 27. ADVANCED CARD SYSTEMS HOLDINGS LTD. SNAPSHOT
TABLE NO 28. KEY STRATEGIES – ADVANCED CARD SYSTEMS HOLDINGS LTD.
TABLE NO 29. OMRON CORPORATION SNAPSHOT
TABLE NO 30. KEY STRATEGIES – OMRON CORPORATION
TABLE NO 31. CUBIC TRANSPORTATION SYSTEMS SNAPSHOT
TABLE NO 32. KEY STRATEGIES – CUBIC TRANSPORTATION SYSTEMS
TABLE NO 33. THALES SNAPSHOT
TABLE NO 34. KEY STRATEGIES – THALES
TABLE NO 35. NXP SEMICONDUCTORS SNAPSHOT
TABLE NO 36. KEY STRATEGIES – NXP SEMICONDUCTORS
TABLE NO 37. LECIP GROUP SNAPSHOT
TABLE NO 38. KEY STRATEGIES – LECIP GROUP

LIST OF FIGURES

FIGURE NO 1. VALUE CHAIN ANALYSIS
FIGURE NO 2. FIVE FORCES ANALYSIS
FIGURE NO 3. MARKET SHARE ANALYSIS
FIGURE NO 4. INVESTMENT OPPORTUNITIES
FIGURE NO 5. KEY STRATEGIC ATTEMPTS (%SHARE)
FIGURE NO 6. KEY IMPACTING FACTORS
FIGURE NO 7. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY APPLICATION, 2016-2024 ($MILLION)
FIGURE NO 8. GLOBAL BUS FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
FIGURE NO 9. GLOBAL ELECTRONIC TOLL FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
FIGURE NO 10. GLOBAL TRAIN FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($ MILLION)
FIGURE NO 11. GLOBAL CAR RENTAL FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
FIGURE NO 12. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY COMPONENT, 2016-2024 ($MILLION)
FIGURE NO 13. GLOBAL SOFTWARE & SERVICES FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($ MILLION)
FIGURE NO 14. GLOBAL HARDWARE FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
FIGURE NO 15. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY TECHNOLOGY PLATFORM, 2016-2024 ($ MILLION)
FIGURE NO 16. GLOBAL SMART CARD FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
FIGURE NO 17. GLOBAL NEAR FIELD COMMUNICATION FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
FIGURE NO 18. GLOBAL OPTICAL CHARACTER RECOGNITION FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
FIGURE NO 19. GLOBAL OTHER FARE COLLECTION MARKET REVENUE BY REGION, 2016-2024 ($MILLION)
FIGURE NO 20. GLOBAL AUTOMATED FARE COLLECTION MARKET REVENUE BY GEOGRAPHY, 2016-2024 ($MILLION)
FIGURE NO 21. NORTH AMERICA AUTOMATED FARE COLLECTION MARKET REVENUE BY APPLICATION TYPE, 2016-2024 ($MILLION)
FIGURE NO 22. EUROPE AUTOMATED FARE COLLECTION MARKET REVENUE BY APPLICATION TYPE, 2014-2024 ($MILLION)
FIGURE NO 23. ASIA PACIFIC AUTOMATED FARE COLLECTION MARKET REVENUE BY APPLICATION TYPE, 2016-2024 ($MILLION)
FIGURE NO 24. REST OF THE WORLD AUTOMATED FARE COLLECTION MARKET REVENUE BY APPLICATION TYPE, 2016-2024 ($MILLION)


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