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Automated Fare Collection Market by Component, Technology - Global Forecast 2025-2030

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    Report

  • 196 Pages
  • October 2024
  • Region: Global
  • 360iResearch™
  • ID: 4904619
UP TO OFF until Dec 31st 2024
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The Automated Fare Collection Market grew from USD 17.30 billion in 2023 to USD 19.30 billion in 2024. It is expected to continue growing at a CAGR of 11.61%, reaching USD 37.36 billion by 2030.

Automated Fare Collection (AFC) systems comprise a suite of technologies and processes designed to automate the ticketing and fare management tasks in public transit networks. A typical AFC system encompasses devices like card readers, fareboxes, ticket vending machines, and automated gate systems, which streamline fare collection through cashless transactions and contactless mechanisms. The necessity for AFC systems primarily stems from the growing demand for efficient, reliable, and secure public transportation solutions that can handle increased ridership without compromising service quality. These systems significantly reduce the need for manual ticketing, enhance fare handling accuracy, and support data analytics for transportation planning. The main applications of AFC systems are in urban and metropolitan areas' bus, train, and metro networks, serving both daily commuters and occasional passengers. Key end-use sectors include public transportation agencies, private transit operators, and smart city initiatives. Market growth is driven by technological advancements such as the integration of NFC, mobile payment solutions, and the push for smart city infrastructures. Opportunities emerge from growing urbanization, government investments in public transportation, and the increasing adoption of digital payments. To capitalize on these trends, stakeholders should invest in R&D for improved interoperability, security features, and advanced data analytics capabilities. Challenges include the high initial capital required for AFC systems, cybersecurity threats, and issues with system integration across different transit networks. Moreover, the need for continuous updates and maintenance poses additional cost considerations. Despite these hurdles, innovations such as blockchain for transaction security, AI for fare prediction, and machine learning for passenger data analysis present growth avenues. Overall, the market is characterized by rapid technological evolution, requiring players to be agile and forward-thinking, with a focus on scalability and user-centric design to capture the expanding demand for advanced AFC solutions.

Understanding Market Dynamics in the Automated Fare Collection Market

The Automated Fare Collection Market is rapidly evolving, shaped by dynamic supply and demand trends. These insights provide companies with actionable intelligence to drive investments, develop strategies, and seize emerging opportunities. A comprehensive understanding of market dynamics also helps organizations mitigate political, geographical, technical, social, and economic risks while offering a clearer view of consumer behavior and its effects on manufacturing costs and purchasing decisions.
  • Market Drivers
    • Increasing government investment and support for public transportation
    • Increasing emphasis on digital payment gateways
    • Need for better process management and reduce frauds
  • Market Restraints
    • High installation and maintenance costs
  • Market Opportunities
    • Increasing public-private partnership and investment in transportation
    • Rapid public infrastructure developments in developing economies
  • Market Challenges
    • Limitation of the required technology infrastructure support in low-income countries

Exploring Porter’s Five Forces for the Automated Fare Collection Market

Porter’s Five Forces framework further strengthens the insights of the Automated Fare Collection Market, delivering a clear and effective methodology for understanding the competitive landscape. This tool enables companies to evaluate their current competitive standing and explore strategic repositioning by assessing businesses’ power dynamics and market positioning. It is also instrumental in determining the profitability of new ventures, helping companies leverage their strengths, address weaknesses, and avoid potential pitfalls.

Applying PESTLE Analysis to the Automated Fare Collection Market

External macro-environmental factors deeply influence the performance of the Automated Fare Collection Market, and the PESTLE analysis provides a comprehensive framework for understanding these influences. By examining Political, Economic, Social, Technological, Legal, and Environmental elements, this analysis offers organizations critical insights into potential opportunities and risks. It also helps businesses anticipate changes in regulations, consumer behavior, and economic trends, enabling them to make informed, forward-looking decisions.

Analyzing Market Share in the Automated Fare Collection Market

The Automated Fare Collection Market share analysis evaluates vendor performance. This analysis provides a clear view of each vendor’s standing in the competitive landscape by comparing key metrics such as revenue, customer base, and other critical factors. Additionally, it highlights market concentration, fragmentation, and trends in consolidation, empowering vendors to make strategic decisions that enhance their market position.

Evaluating Vendor Success with the FPNV Positioning Matrix in the Automated Fare Collection Market

The Automated Fare Collection Market FPNV Positioning Matrix is crucial in evaluating vendors based on business strategy and product satisfaction levels. By segmenting vendors into four quadrants - Forefront (F), Pathfinder (P), Niche (N), and Vital (V) - this matrix helps users make well-informed decisions that best align with their unique needs and objectives in the market.

Strategic Recommendations for Success in the Automated Fare Collection Market

The Automated Fare Collection Market strategic analysis is essential for organizations aiming to strengthen their position in the global market. A comprehensive review of resources, capabilities, and performance helps businesses identify opportunities for improvement and growth. This approach empowers companies to navigate challenges in the increasingly competitive landscape, ensuring they capitalize on new opportunities and align with long-term success.

Key Company Profiles

The report delves into recent significant developments in the Automated Fare Collection Market, highlighting leading vendors and their innovative profiles. These include Advanced Card Systems Ltd., Advantech Co., Ltd., Atos SE, Cubic Corporation, Enghouse Systems Limited, GMV Innovating Solutions S.L., Indra Sistemas, S.A., Lecip Holdings Corporation, LG CNS Co. Ltd., Longbow Solution Sdn. Bhd., Masabi Ltd., NEC Corporation, Nippon Signal Co., Ltd., NXP Semiconductors N.V., Samsung SDS Co., Ltd., and Scheidt & Bachmann GmbH.

Market Segmentation & Coverage

This research report categorizes the Automated Fare Collection Market to forecast the revenues and analyze trends in each of the following sub-markets:
  • Component
    • Hardware
    • Software
  • Technology
    • Magentic Strip
    • NFC
    • OCR
    • Smart Cards
  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report provides a detailed overview of the market, exploring several key areas:

  1. Market Penetration: A thorough examination of the current market landscape, featuring comprehensive data from leading industry players and analyzing their reach and influence across the market.
  2. Market Development: The report identifies significant growth opportunities in emerging markets and assesses expansion potential within established segments, providing a roadmap for future development.
  3. Market Diversification: In-depth coverage of recent product launches, untapped geographic regions, significant industry developments, and strategic investments reshaping the market landscape.
  4. Competitive Assessment & Intelligence: A detailed analysis of the competitive landscape, covering market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, technological advancements, and innovations in manufacturing by key market players.
  5. Product Development & Innovation: Insight into groundbreaking technologies, R&D efforts, and product innovations that will drive the market in future.

Additionally, the report addresses key questions to assist stakeholders in making informed decisions:

  1. What is the current size of the market, and how is it expected to grow?
  2. Which products, segments, and regions present the most attractive investment opportunities?
  3. What are the prevailing technology trends and regulatory factors influencing the market?
  4. How do top vendors rank regarding market share and competitive positioning?
  5. What revenue sources and strategic opportunities guide vendors' market entry or exit decisions?

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing government investment and support for public transportation
5.1.1.2. Increasing emphasis on digital payment gateways
5.1.1.3. Need for better process management and reduce frauds
5.1.2. Restraints
5.1.2.1. High installation and maintenance costs
5.1.3. Opportunities
5.1.3.1. Increasing public-private partnership and investment in transportation
5.1.3.2. Rapid public infrastructure developments in developing economies
5.1.4. Challenges
5.1.4.1. Limitation of the required technology infrastructure support in low-income countries
5.2. Market Segmentation Analysis
5.3. Porter’s Five Forces Analysis
5.3.1. Threat of New Entrants
5.3.2. Threat of Substitutes
5.3.3. Bargaining Power of Customers
5.3.4. Bargaining Power of Suppliers
5.3.5. Industry Rivalry
5.4. PESTLE Analysis
5.4.1. Political
5.4.2. Economic
5.4.3. Social
5.4.4. Technological
5.4.5. Legal
5.4.6. Environmental
6. Automated Fare Collection Market, by Component
6.1. Introduction
6.2. Hardware
6.3. Software
7. Automated Fare Collection Market, by Technology
7.1. Introduction
7.2. Magentic Strip
7.3. NFC
7.4. OCR
7.5. Smart Cards
8. Americas Automated Fare Collection Market
8.1. Introduction
8.2. Argentina
8.3. Brazil
8.4. Canada
8.5. Mexico
8.6. United States
9. Asia-Pacific Automated Fare Collection Market
9.1. Introduction
9.2. Australia
9.3. China
9.4. India
9.5. Indonesia
9.6. Japan
9.7. Malaysia
9.8. Philippines
9.9. Singapore
9.10. South Korea
9.11. Taiwan
9.12. Thailand
9.13. Vietnam
10. Europe, Middle East & Africa Automated Fare Collection Market
10.1. Introduction
10.2. Denmark
10.3. Egypt
10.4. Finland
10.5. France
10.6. Germany
10.7. Israel
10.8. Italy
10.9. Netherlands
10.10. Nigeria
10.11. Norway
10.12. Poland
10.13. Qatar
10.14. Russia
10.15. Saudi Arabia
10.16. South Africa
10.17. Spain
10.18. Sweden
10.19. Switzerland
10.20. Turkey
10.21. United Arab Emirates
10.22. United Kingdom
11. Competitive Landscape
11.1. Market Share Analysis, 2023
11.2. FPNV Positioning Matrix, 2023
11.3. Competitive Scenario Analysis
11.4. Strategy Analysis & Recommendation
List of Figures
FIGURE 1. AUTOMATED FARE COLLECTION MARKET RESEARCH PROCESS
FIGURE 2. AUTOMATED FARE COLLECTION MARKET SIZE, 2023 VS 2030
FIGURE 3. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 5. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
FIGURE 7. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 8. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
FIGURE 9. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 10. AMERICAS AUTOMATED FARE COLLECTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 11. AMERICAS AUTOMATED FARE COLLECTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 12. UNITED STATES AUTOMATED FARE COLLECTION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 13. UNITED STATES AUTOMATED FARE COLLECTION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 14. ASIA-PACIFIC AUTOMATED FARE COLLECTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 15. ASIA-PACIFIC AUTOMATED FARE COLLECTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 16. EUROPE, MIDDLE EAST & AFRICA AUTOMATED FARE COLLECTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 17. EUROPE, MIDDLE EAST & AFRICA AUTOMATED FARE COLLECTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 18. AUTOMATED FARE COLLECTION MARKET SHARE, BY KEY PLAYER, 2023
FIGURE 19. AUTOMATED FARE COLLECTION MARKET, FPNV POSITIONING MATRIX, 2023
List of Tables
TABLE 1. AUTOMATED FARE COLLECTION MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
TABLE 3. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 6. AUTOMATED FARE COLLECTION MARKET DYNAMICS
TABLE 7. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 8. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 9. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 11. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY MAGENTIC STRIP, BY REGION, 2018-2030 (USD MILLION)
TABLE 12. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY NFC, BY REGION, 2018-2030 (USD MILLION)
TABLE 13. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY OCR, BY REGION, 2018-2030 (USD MILLION)
TABLE 14. GLOBAL AUTOMATED FARE COLLECTION MARKET SIZE, BY SMART CARDS, BY REGION, 2018-2030 (USD MILLION)
TABLE 15. AMERICAS AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 16. AMERICAS AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 17. AMERICAS AUTOMATED FARE COLLECTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 18. ARGENTINA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 19. ARGENTINA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 20. BRAZIL AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 21. BRAZIL AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 22. CANADA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 23. CANADA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 24. MEXICO AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 25. MEXICO AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 26. UNITED STATES AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 27. UNITED STATES AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 28. UNITED STATES AUTOMATED FARE COLLECTION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 29. ASIA-PACIFIC AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 30. ASIA-PACIFIC AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 31. ASIA-PACIFIC AUTOMATED FARE COLLECTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 32. AUSTRALIA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 33. AUSTRALIA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 34. CHINA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 35. CHINA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 36. INDIA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 37. INDIA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 38. INDONESIA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 39. INDONESIA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 40. JAPAN AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 41. JAPAN AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 42. MALAYSIA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 43. MALAYSIA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 44. PHILIPPINES AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 45. PHILIPPINES AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 46. SINGAPORE AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 47. SINGAPORE AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 48. SOUTH KOREA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 49. SOUTH KOREA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 50. TAIWAN AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 51. TAIWAN AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 52. THAILAND AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 53. THAILAND AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 54. VIETNAM AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 55. VIETNAM AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 56. EUROPE, MIDDLE EAST & AFRICA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 57. EUROPE, MIDDLE EAST & AFRICA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 58. EUROPE, MIDDLE EAST & AFRICA AUTOMATED FARE COLLECTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 59. DENMARK AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 60. DENMARK AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 61. EGYPT AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 62. EGYPT AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 63. FINLAND AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 64. FINLAND AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 65. FRANCE AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 66. FRANCE AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 67. GERMANY AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 68. GERMANY AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 69. ISRAEL AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 70. ISRAEL AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 71. ITALY AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 72. ITALY AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 73. NETHERLANDS AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 74. NETHERLANDS AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 75. NIGERIA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 76. NIGERIA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 77. NORWAY AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 78. NORWAY AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 79. POLAND AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 80. POLAND AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 81. QATAR AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 82. QATAR AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 83. RUSSIA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 84. RUSSIA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 85. SAUDI ARABIA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 86. SAUDI ARABIA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 87. SOUTH AFRICA AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 88. SOUTH AFRICA AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 89. SPAIN AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 90. SPAIN AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 91. SWEDEN AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 92. SWEDEN AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 93. SWITZERLAND AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 94. SWITZERLAND AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 95. TURKEY AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 96. TURKEY AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 97. UNITED ARAB EMIRATES AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 98. UNITED ARAB EMIRATES AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 99. UNITED KINGDOM AUTOMATED FARE COLLECTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 100. UNITED KINGDOM AUTOMATED FARE COLLECTION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 101. AUTOMATED FARE COLLECTION MARKET SHARE, BY KEY PLAYER, 2023
TABLE 102. AUTOMATED FARE COLLECTION MARKET, FPNV POSITIONING MATRIX, 2023

Companies Mentioned

The leading players in the Automated Fare Collection market, which are profiled in this report, include:
  • Advanced Card Systems Ltd.
  • Advantech Co., Ltd.
  • Atos SE
  • Cubic Corporation
  • Enghouse Systems Limited
  • GMV Innovating Solutions S.L.
  • Indra Sistemas, S.A.
  • Lecip Holdings Corporation
  • LG CNS Co. Ltd.
  • Longbow Solution Sdn. Bhd.
  • Masabi Ltd.
  • NEC Corporation
  • Nippon Signal Co., Ltd.
  • NXP Semiconductors N.V.
  • Samsung SDS Co., Ltd.
  • Scheidt & Bachmann GmbH

Methodology

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Table Information