Report

Global Automated Fare Collection Market Size study, by Component (Hardware, Software) by Technology (Smart Card, Magnetic Stripe, Near Field Communication (NFC), Optical Character, Recognition (OCR)) by System (Ticket Vending Machine (TVM), Ticket Office Machine (TOM), Fare Gates, IC Card) by End Use (Railways & Transportation, Parking, Entertainment, Others) and Regional Forecasts 2021-2027

  • Publish Date: Mar,2022
  • Report ID: QI037
  • Page : 250
  • Report Type : PDF (Email)
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Automated Fare Collection Market, by Region, 2019-2027 (USD Billion)
1.2.2. Automated Fare Collection Market, by Component, 2019-2027 (USD Billion)
1.2.3. Automated Fare Collection Market, by Technology, 2019-2027 (USD Billion)
1.2.4. Automated Fare Collection Market, by System, 2019-2027 (USD Billion)
1.2.5. Automated Fare Collection Market, by End Use, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Automated Fare Collection Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Automated Fare Collection Market Dynamics
3.1. Automated Fare Collection Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Increasing Penetration of digital Transections gateways
3.1.1.2. Growing Infrastructure development sector
3.1.2. Market Challenges
3.1.2.1. High installation and maintenance Cost.
3.1.3. Market Opportunities
3.1.3.1. Increasing government expenditure on technology.
Chapter 4. Global Automated Fare Collection Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter's 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Automated Fare Collection Market, by Component
6.1. Market Snapshot
6.2. Global Automated Fare Collection Market by Component, Performance - Potential Analysis
6.3. Global Automated Fare Collection Market Estimates & Forecasts by Component 2018-2027 (USD Billion)
6.4. Automated Fare Collection Market, Sub Segment Analysis
6.4.1. Hardware
6.4.2. Software

Chapter 7. Global Automated Fare Collection Market, by Technology
7.1. Market Snapshot
7.2. Global Automated Fare Collection Market by Technology, Performance - Potential Analysis
7.3. Global Automated Fare Collection Market Estimates & Forecasts by Technology 2018-2027 (USD Billion)
7.4. Automated Fare Collection Market, Sub Segment Analysis
7.4.1. Smart Card
7.4.2. Magnetic Stripe
7.4.3. Near Field Communication (NFC)
7.4.4. Optical Character Recognition (OCR)
Chapter 8. Global Automated Fare Collection Market, by System
8.1. Market Snapshot
8.2. Global Automated Fare Collection Market by System, Performance - Potential Analysis
8.3. Global Automated Fare Collection Market Estimates & Forecasts by System 2018-2027 (USD Billion)
8.4. Automated Fare Collection Market, Sub Segment Analysis
8.4.1. Ticket Vending Machine (TVM)
8.4.2. Ticket Office Machine (TOM)
8.4.3. Fare Gates
8.4.4. IC Card
8.4.5. Global Automated Fare Collection Market, by End Use
8.4.6. Market Snapshot
8.4.7. Global Automated Fare Collection Market by End Use, Performance - Potential Analysis
8.4.8. Global Automated Fare Collection Market Estimates & Forecasts by End Use 2018-2027 (USD Billion)
8.4.9. Automated Fare Collection Market, Sub Segment Analysis
8.4.10. Railways & Transportation
8.4.11. Parking
8.4.12. Entertainment
8.4.13. Others

Chapter 9. Global Automated Fare Collection Market, Regional Analysis
9.1. Automated Fare Collection Market, Regional Market Snapshot
9.2. North America Automated Fare Collection Market
9.2.1. U.S. Automated Fare Collection Market
9.2.1.1. Component breakdown estimates & forecasts, 2018-2027
9.2.1.2. Technology breakdown estimates & forecasts, 2018-2027
9.2.1.3. System breakdown estimates & forecasts, 2018-2027
9.2.1.4. End Use breakdown estimates & forecasts, 2018-2027
9.2.2. Canada Automated Fare Collection Market
9.3. Europe Automated Fare Collection Market Snapshot
9.3.1. U.K. Automated Fare Collection Market
9.3.2. Germany Automated Fare Collection Market
9.3.3. France Automated Fare Collection Market
9.3.4. Spain Automated Fare Collection Market
9.3.5. Italy Automated Fare Collection Market
9.3.6. Rest of Europe Automated Fare Collection Market
9.4. Asia-Pacific Automated Fare Collection Market Snapshot
9.4.1. China Automated Fare Collection Market
9.4.2. India Automated Fare Collection Market
9.4.3. Japan Automated Fare Collection Market
9.4.4. Australia Automated Fare Collection Market
9.4.5. South Korea Automated Fare Collection Market
9.4.6. Rest of Asia Pacific Automated Fare Collection Market
9.5. Latin America Automated Fare Collection Market Snapshot
9.5.1. Brazil Automated Fare Collection Market
9.5.2. Mexico Automated Fare Collection Market
9.6. Rest of The World Automated Fare Collection Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Cubic Corporation (US)
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Product Summary
10.2.1.5. Recent Developments
10.2.2. Indra Sistemas (Spain)
10.2.3. Thales (France)
10.2.4. GMV (Spain)
10.2.5. ST Electronics (Singapore)
10.2.6. ATOS (France)
10.2.7. Longbow Technologies S/B (Malaysia)
10.2.8. Samsung SDS (Korea)
10.2.9. Genfare (US)
10.2.10. Advanced Card Systems Ltd. (Hong Kong)
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption