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Automated Fare Collection System Market by Application, Component, and Technology Platform and Others: Global Opportunity Analysis and Industry Forecast, 2020-2027

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    Report

  • 268 Pages
  • November 2020
  • Region: Global
  • Allied Market Research
  • ID: 5134095
Automated Fare Collection System (AFCS), also known as electronic fare collection system, is an automated system that helps public transit operators to trace and account the revenue and provide a convenient way of fare payment instead of cash. The global automated fare collection system market includes technologies such as smart cards, Near Field Communication (NFC), Optical Character Recognition (OCR), magnetic strips, and bar codes.

Currently, smart cards are widely used to enable ease of fare payment to travelers. This report analyzes the global market on the basis of component, technology, application, and region. By region, the market is segmented across North America, Europe, Asia-Pacific, and Latin America, the Middle East, and Africa (LAMEA). This report uses value chain analysis and Porter’s Five Forces Model to analyze the competitive scenario of the industry and adding values to the final product.

Further, the report features strategies adopted by the key market players to endure the stiff competition in the market. Atos SE, Cubic Transportation Systems, Inc., dormakaba Holding, LECIP Group, LG CNS, NXP Semiconductors, OMRON Corporation, Samsung SDS, Scheidt & Bacchhan Gmbh, and Thales Group are some of the leading suppliers of AFCS in the global market.

The global automated fare collection system market includes components such as hardware, including Ticket Vending Machines (TVMs), turnstiles, Booking Office Machines (BOMs), validators, and software including back office, passenger information, validating the identity, and signaling. The market is classified on the basis of the type of component, technology, application, and region.

KEY PLAYERS operating in the market 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.

KEY BENEFITS FOR STAKEHOLDERS
  • This study comprises analytical depiction of the automated fare collection system market with current trends and future estimations to depict the imminent investment pockets.
  • The overall market potential is determined to understand the profitable trends to gain a stronger coverage in the market.
  • The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
  • The current market is quantitatively analyzed from 2019 to 2027 to highlight the financial competency of the market.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers.

KEY MARKET SEGMENTS

By Application
  • Bus
  • Toll
  • Train
  • Car Rental

By Component
  • Hardware
  • Software

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

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. Porter’s Five Forces Analysis
3.4. Market Share Analysis (2019)
3.5. Market Dynamics
3.5.1. Drivers
3.5.1.1. Contactless Open Payment
3.5.1.2. Increasing Demand for Smartphones
3.5.1.3. Enhanced Efficiency
3.5.1.4. Low Fraud Rates
3.5.1.5. Enhanced Transport Infrastructure and Security System
3.5.1.6. Flexible Fare Plans
3.5.1.7. Low Manpower Cost & Less Operational Time
3.5.2. Restraints
3.5.2.1. High Installation Cost
3.5.2.2. High Maintenance Cost
3.5.3. Opportunities
3.5.3.1. Increase in Use of High-Speed of Public Transport
3.5.3.2. Rise in Technology Payment
3.5.3.3. Global Interoperability
3.5.3.4. Winning the Contract/Agreement is the Key Strategy
3.6. Value Chain Analysis
3.6.1. Research and Development (R&D)
3.6.2. Raw Material & Software Solution Suppliers
3.6.3. Assembly Unit
3.6.4. Distribution
3.6.5. Transit Agencies
3.7. Impact of Covid-19 on the Automated Fare Collection System Market
Chapter 4: Global Automated Fare Collection System Market, by Application
4.1. Overview
4.2. Bus
4.2.1. Key Market Trends, Growth Factors, and Opportunities
4.2.2. Market Size and Forecast, by Region
4.2.3. Market Analysis, by Country
4.3. Toll
4.3.1. Key Market Trends, Growth Factors, and Opportunities
4.3.2. Market Size and Forecast, by Region
4.3.3. Market Analysis, by Country
4.4. Train
4.4.1. Key Market Trends, Growth Factors, and Opportunities
4.4.2. Market Size and Forecast, by Region
4.4.3. Market Analysis, by Country
4.5. Car Rental
4.5.1. Key Market Trends, Growth Factors, and Opportunities
4.5.2. Market Size and Forecast, by Region
4.5.3. Market Analysis, by Country
Chapter 5: Global Automated Fare Collection System Market, by Component
5.1. Overview
5.2. Hardware
5.2.1. Key Market Trends, Growth Factors and Opportunities
5.2.2. Market Size and Forecast, by Region
5.2.3. Market Analysis by Country
5.2.4. Validators
5.2.5. Turnstiles
5.2.6. Ticket Vending Machines
5.2.7. Others
5.3. Software
5.3.1. Key Market Trends, Growth Factors, and Opportunities
5.3.2. Market Size and Forecast, by Region
5.3.3. Market Analysis by Country
Chapter 6: Global Automated Fare Collection System Market, Technology Platform
6.1. Overview
6.2. Smart Card
6.2.1. Key Market Trends, Growth Factors and Opportunities
6.2.2. Market Size and Forecast, by Region
6.2.3. Market Analysis by Country
6.3. Optical Character Recognition (Ocr)
6.3.1. Key Market Trends, Growth Factors and Opportunities
6.3.2. Market Size and Forecast, by Region
6.3.3. Market Analysis by Country
6.4. Near Field Communication (Nfc)
6.4.1. Key Market Trends, Growth Factors, and Opportunities
6.4.2. Market Size and Forecast, by Region
6.4.3. Market Analysis by Country
6.5. Others (Magnetic Strip and Bar Coding)
6.5.1. Key Market Trends, Growth Factors, and Opportunities
6.5.2. Market Size and Forecast, by Region
6.5.3. Market Analysis by Country
Chapter 7: Automated Fare Collection System Market, by Region
7.1. Overview
7.2. North America
7.2.1. Market Size and Forecast, by Application
7.2.2. Market Size and Forecast, by Component
7.2.3. Market Size and Forecast, by Technology Platform
7.2.4. Market Size and Forecast, by Country
7.2.4.1. U.S.
7.2.4.1.1. Market Size and Forecast, by Application
7.2.4.1.2. Market Size and Forecast, by Component
7.2.4.1.3. Market Size and Forecast, by Technology Platform
7.2.4.2. Canada
7.2.4.2.1. Market Size and Forecast, by Application
7.2.4.2.2. Market Size and Forecast, by Component
7.2.4.2.3. Market Size and Forecast, by Technology Platform
7.2.4.3. Mexico
7.2.4.3.1. Market Size and Forecast, by Application
7.2.4.3.2. Market Size and Forecast, by Component
7.2.4.3.3. Market Size and Forecast, by Technology Platform
7.3. Europe
7.3.1. Market Size and Forecast, by Application
7.3.2. Market Size and Forecast, by Component
7.3.3. Market Size and Forecast, by Technology Platform
7.3.4. Market Size and Forecast, by Country
7.3.4.1. UK
7.3.4.1.1. Market Size and Forecast, by Application
7.3.4.1.2. Market Size and Forecast, by Component
7.3.4.1.3. Market Size and Forecast, by Technology Platform
7.3.4.2. Germany
7.3.4.2.1. Market Size and Forecast, by Application
7.3.4.2.2. Market Size and Forecast, by Component
7.3.4.2.3. Market Size and Forecast, by Technology Platform
7.3.4.3. France
7.3.4.3.1. Market Size and Forecast, by Application
7.3.4.3.2. Market Size and Forecast, by Component
7.3.4.3.3. Market Size and Forecast, by Technology Platform
7.3.4.4. Spain
7.3.4.4.1. Market Size and Forecast, by Application
7.3.4.4.2. Market Size and Forecast, by Component
7.3.4.4.3. Market Size and Forecast, by Technology Platform
7.3.4.5. Russia
7.3.4.5.1. Market Size and Forecast, by Application
7.3.4.5.2. Market Size and Forecast, by Component
7.3.4.5.3. Market Size and Forecast, by Technology Platform
7.3.4.6. Rest of Europe
7.3.4.6.1. Market Size and Forecast, by Application
7.3.4.6.2. Market Size and Forecast, by Component
7.3.4.6.3. Market Size and Forecast, by Technology Platform
7.4. Asia-Pacific
7.4.1. Market Size and Forecast, by Application
7.4.2. Market Size and Forecast, by Component
7.4.3. Market Size and Forecast, by Technology Platform
7.4.4. Market Size and Forecast, by Country
7.4.4.1. China
7.4.4.1.1. Market Size and Forecast, by Application
7.4.4.1.2. Market Size and Forecast, by Component
7.4.4.1.3. Market Size and Forecast, by Technology Platform
7.4.4.2. India
7.4.4.2.1. Market Size and Forecast, by Application
7.4.4.2.2. Market Size and Forecast, by Component
7.4.4.2.3. Market Size and Forecast, by Technology Platform
7.4.4.3. Japan
7.4.4.3.1. Market Size and Forecast, by Application
7.4.4.3.2. Market Size and Forecast, by Component
7.4.4.3.3. Market Size and Forecast, by Technology Platform
7.4.4.4. South Korea
7.4.4.4.1. Market Size and Forecast, by Application
7.4.4.4.2. Market Size and Forecast, by Component
7.4.4.4.3. Market Size and Forecast, by Technology Platform
7.4.4.5. Rest of Asia-Pacific
7.4.4.5.1. Market Size and Forecast, by Application
7.4.4.5.2. Market Size and Forecast, by Component
7.4.4.5.3. Market Size and Forecast, by Technology Platform
7.5. LAMEA
7.5.1. Market Size and Forecast, by Application
7.5.2. Market Size and Forecast, by Component
7.5.3. Market Size and Forecast, by Technology Platform
7.5.4. Market Size and Forecast, by Country
7.5.4.1. Latin America
7.5.4.1.1. Market Size and Forecast, by Application
7.5.4.1.2. Market Size and Forecast, by Component
7.5.4.1.3. Market Size and Forecast, by Technology Platform
7.5.4.2. Middle East
7.5.4.2.1. Market Size and Forecast, by Application
7.5.4.2.2. Market Size and Forecast, by Component
7.5.4.2.3. Market Size and Forecast, by Technology Platform
7.5.4.3. Africa
7.5.4.3.1. Market Size and Forecast, by Application
7.5.4.3.2. Market Size and Forecast, by Component
7.5.4.3.3. Market Size and Forecast, by Technology Platform
Chapter 8: Company Profiles
8.1. Atos Se
8.1.1. Company Overview
8.1.2. Company Snapshot
8.1.3. Operating Business Segments
8.1.4. Business Performance
8.1.5. Key Strategic Moves and Developments
8.2. Cubic Transportation Systems, Inc.
8.2.1. Company Overview
8.2.2. Company Snapshot
8.2.3. Operating Business Segments
8.2.4. Business Performance
8.2.5. Key Strategic Moves and Developments
8.3. Dormakaba Holding
8.3.1. Company Overview
8.3.2. Company Snapshot
8.3.3. Operating Business Segments
8.3.4. Product Portfolio
8.3.5. Business Performance
8.3.6. Key Strategic Moves and Developments
8.4. Lecip Holdings Corporation
8.4.1. Company Overview
8.4.2. Company Snapshot
8.4.3. Operating Business Segments
8.4.4. Product Portfolio
8.4.5. Business Performance
8.4.6. Key Strategic Moves and Developments
8.5. Lg Cns
8.5.1. Company Overview
8.5.2. Company Snapshot
8.5.3. Product Portfolio
8.5.4. Business Performance
8.6. Nxp Semiconductors
8.6.1. Company Overview
8.6.2. Company Snapshot
8.6.3. Operating Business Segments
8.6.4. Product Portfolio
8.6.5. Business Performance
8.6.6. Key Strategic Moves and Developments
8.7. Omron Corporation
8.7.1. Company Overview
8.7.2. Company Snapshot
8.7.3. Operating Business Segments
8.7.4. Business Performance
8.7.5. Key Strategic Moves and Developments
8.8. Samsung Sds
8.8.1. Company Overview
8.8.2. Company Snapshot
8.8.3. Operating Business Segments
8.8.4. Business Performance
8.9. Scheidt & Bacchhan GmbH
8.9.1. Company Overview
8.9.2. Company Snapshot
8.9.3. Operating Business Segments
8.9.4. Key Strategic Moves and Developments
8.10. Thales Group
8.10.1. Company Overview
8.10.2. Company Snapshot
8.10.3. Operating Business Segments
8.10.4. Business Performance
8.10.5. Key Strategic Moves and Developments

Companies Mentioned

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

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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