自动收费系统市场－全球产业规模、份额、趋势、机会、预测：按组件、技术、应用、地区和竞争格局划分，2021-2031年

全球自动收费系统市场预计将从 2025 年的 103.6 亿美元成长到 2031 年的 196.8 亿美元，复合年增长率为 11.29%。

自动收费系统（AFC）是由硬体和软体组成的整合网络，旨在实现公共交通票务流程的自动化，例如票价计算、检验和收入管理。其主要成长要素包括快速的都市化、拥塞交通枢纽对营运效率的需求以及向非接触式支付生态系统的重大转变。根据美国公共交通协会（APTA）的数据，预计到2024年，美国公共交通乘客数量将达到76.6亿人次，这凸显了开发可扩展的票价处理技术以应对不断增长的客流量的紧迫性。

儘管前景乐观，但市场仍面临部署和维护先进自动收费系统（AFC）基础设施所需的大量资本投资等重大障碍。硬体安装的高成本、复杂的软体整合以及持续的资料安全合规性，都可能阻碍资金紧张的运输业者升级旧有系统。因此，这些财务障碍可能会阻碍现代收费解决方案的普及，并限制资金雄厚的营运商的市场渗透率。

市场驱动因素

非接触式和开放回路支付技术的快速普及正在从根本上改变全球自动收费系统市场，因为它无需专用票务基础设施。交通运输企业越来越倾向于开放回路系统，乘客可以使用个人非接触式银行卡或行动钱包在闸机处支付，从而显着减少等待时间和现金处理成本。这种转变提升了使用者体验，为各种交通途径提供了无缝的「轻触即乘」选项。根据Visa在2024年10月发布的新闻稿，该公司在全球公共交通领域处理了20亿笔非接触式支付，这一数字在短短两年内翻了一番。这凸显了可互通金融科技的关键角色。

此外，智慧城市计画和政府对交通基础设施现代化改造的投资，在各级政府致力于整合永续交通和数位化管治的推动下，正在促进市场成长。联邦和地方政府正大力投资升级具备即时分析能力的系统，以基于云端的帐户平台取代磁条系统。 2024年7月，美国联邦运输部管理局（FTR）津贴15亿美元，用于117个现代化改造计划。此外，根据英国铁路和公路管理局统计，截至2024年3月的一年中，铁路客运量达到16.1亿人次，这加大了铁路网实施高效、高容量票务解决方案的压力。

市场挑战

部署和维护基础设施所需的大量资本投入是全球自动收费系统市场成长的一大障碍。建造包括检验终端和售票亭在内的综合硬体网路需要大量的预付成本，这对于许多交通运营商来说难以承受。此外，整合复杂的后端软体以及确保持续的资料安全合规性也会带来额外的财务负担。这种经济负担迫使资金紧张的业者放弃从旧有系统迁移，导致市场覆盖范围往往主要局限于资金雄厚的大都会圈市政府。

公共交通领域普遍存在的预算短缺进一步加剧了这一财务困境。由于营运资金不足，各机构往往不得不降低技术升级的优先顺序。根据美国公共交通协会 (APTA) 2024 年的数据，71% 的主要交通运输服务提供者预计，由于联邦纾困资金到期和收入復苏缓慢，将面临财务危机。这种预算不稳定直接限制了市场，迫使各机构将有限的资源集中用于维持基本服务水平，而不是投资于现代化的票务系统。

市场趋势

行动端和QR码票务解决方案的兴起，透过将票价支付与专用硬体脱钩，使公共交通网路的准入更加普及。与依赖银行基础设施的开放回路系统不同，整合到通讯应用中的行动优先架构，使公车公司能够服务于没有银行帐户的乘客，同时降低实体售票机的维修成本。这种以设备为中心的票价收取方式，对于希望在不增加实体空间的情况下优化客流的高流量枢纽站至关重要。根据《新印度快报》2025年11月的一份报告显示，2025年10月，清奈地铁透过WhatsApp购买车票的次数达到52.5万次，这充分展现了利用消费者应用程式作为一种无需硬体的交通方式所带来的营运效益。

同时，市场正果断地向软体即服务 (SaaS) 交付模式转型，以灵活的订阅平台取代僵化的传统架构。这种转变使交通运营商无需投入大量前期资本即可获得持续更新和模组化功能，从而避免技术过时。透过利用云端原生共用平台，企业可以加快部署速度并扩展营运规模，以满足不断变化的需求。 Masabi 于 2025 年 8 月宣布，该公司已在当年上半年完成了 54 项主要的票务系统升级，这也反映了这一趋势。这表明 SaaS 模式为公共交通网络的现代化带来了更高的速度和柔软性。

目录

第一章概述

第二章：调查方法

第三章执行摘要

第四章：客户心声

第五章：全球自动收费系统市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 依组件（硬体、软体）
  • 依技术分类（智慧卡、近距离场通讯（NFC）、磁条卡等）
  • 按用途（公共交通、收费公路/桥樑、停车设施、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章：北美自动收费系统市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国别分析
  • 我们
  • 加拿大
  • 墨西哥

第七章：欧洲自动收费系统市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国别分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区自动收费系统市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国别分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲自动收费系统市场展望

• 市场规模及预测
• 市占率及预测
• 中东与非洲：国别分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美洲自动收费系统市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国别分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 促进因素
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 近期趋势

第十三章：全球自动收费系统市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的潜力
• 供应商的议价能力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• Cubic Corporation
• Thales Group
• Omron Corporation
• Samsung SDS
• Nippon Signal Co., Ltd
• Uber Technologies, Inc
• Scheidt & Bachmann GmbH
• GMV Innovating Solutions SL
• Advanced Card Systems Ltd.
• LECIP Holdings Corporation

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Automated Fare Collection System Market is projected to expand from USD 10.36 Billion in 2025 to USD 19.68 Billion by 2031, registering a CAGR of 11.29%. The Automated Fare Collection (AFC) system consists of a unified network of hardware and software developed to automate ticketing processes, such as fare calculation, validation, and revenue management for public transit. Major growth drivers include rapid urbanization, the need for operational efficiency in crowded transit hubs, and a decisive shift toward contactless payment ecosystems. Data from the American Public Transportation Association indicates that U.S. public transit ridership hit 7.66 billion trips in 2024, emphasizing the urgent need for scalable fare processing technologies to manage recovering passenger volumes.

Despite this positive outlook, the market encounters significant hurdles regarding the substantial capital investment needed to deploy and maintain advanced AFC infrastructures. The high costs linked to hardware installation, complex software integration, and continuous data security compliance can discourage financially limited transit agencies from replacing legacy systems. Consequently, these financial barriers may hinder the widespread adoption of modern fare collection solutions, potentially limiting market penetration to well-funded operators.

Market Driver

The rapid uptake of contactless and open-loop payment technologies is fundamentally transforming the Global Automated Fare Collection System Market by removing the need for proprietary ticketing infrastructure. Transit agencies are increasingly favoring open-loop systems that enable passengers to use personal contactless bank cards or mobile wallets at turnstiles, significantly reducing queue times and cash handling expenses. This transition enhances the user experience by providing a seamless "tap-to-ride" option across various transit modes. According to a Visa press release from October 2024, the company processed 2 billion contactless transactions on public transit globally, a number that doubled in just two years, highlighting the vital role of interoperable financial technologies.

Additionally, government investments in smart city initiatives and transit infrastructure modernization are fueling market growth as authorities aim to merge sustainable transport with digital governance. Federal and municipal entities are allocating significant funds to replace magnetic stripe systems with cloud-based, account-based platforms that support real-time analytics. In July 2024, the U.S. Department of Transportation's Federal Transit Administration awarded $1.5 billion in grants for 117 modernization projects. Furthermore, rail passenger journeys in Great Britain reached 1.61 billion in the year ending March 2024, according to the Office of Rail and Road, reinforcing the pressure on networks to adopt efficient, high-capacity fare collection solutions.

Market Challenge

The significant capital investment necessary for infrastructure deployment and maintenance serves as a critical barrier to the growth of the Global Automated Fare Collection System Market. Establishing comprehensive hardware networks, including validation terminals and vending kiosks, demands substantial upfront expenditure that many transit agencies cannot easily afford. Moreover, costs related to integrating complex backend software and ensuring ongoing data security compliance create additional financial strain. This economic burden frequently prevents financially constrained operators from moving away from legacy systems, effectively restricting the market's reach to primarily well-funded metropolitan authorities.

This financial difficulty is exacerbated by widespread budgetary deficits currently impacting the public transport sector. As agencies face operational funding shortages, capital for technological upgrades is often deprioritized. Data from the American Public Transportation Association in 2024 revealed that 71 percent of major transit agencies expected a fiscal cliff due to the expiration of federal relief funds and slow revenue recovery. This prevailing budgetary instability directly limits the market, compelling agencies to focus limited resources on maintaining basic service levels rather than investing in modern fare collection architectures.

Market Trends

The rise of mobile and QR code-based ticketing solutions is democratizing access to transit networks by separating fare payment from proprietary hardware. Unlike open-loop systems dependent on banking infrastructure, mobile-first architectures integrated into messaging apps allow agencies to serve unbanked populations while eliminating the maintenance costs of physical vending kiosks. This shift toward device-centric fare collection is essential for high-volume hubs aiming to streamline passenger flow without increasing their physical footprint. As reported by The New Indian Express in November 2025, WhatsApp-based ticketing accounted for 525,000 rides on the Chennai Metro in October 2025, demonstrating the operational impact of utilizing ubiquitous consumer apps for hardware-free travel.

Simultaneously, the market is shifting decisively toward Software-as-a-Service (SaaS) delivery models, replacing rigid legacy architectures with agile, subscription-based platforms. This transition helps transit operators avoid technological obsolescence by providing access to continuous updates and modular features without heavy upfront capital costs. By utilizing cloud-native shared platforms, agencies can accelerate deployment and scale operations to match fluctuating demand. Highlighting this trend, Masabi noted in August 2025 that it had delivered 54 major fare collection project upgrades by mid-year, showcasing the enhanced speed and flexibility that the SaaS model offers for modernizing public transport networks.

Key Market Players

• Cubic Corporation
• Thales Group
• Omron Corporation
• Samsung SDS
• Nippon Signal Co., Ltd
• Uber Technologies, Inc
• Scheidt & Bachmann GmbH
• GMV Innovating Solutions S.L
• Advanced Card Systems Ltd.
• LECIP Holdings Corporation

Report Scope

In this report, the Global Automated Fare Collection System Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Automated Fare Collection System Market, By component

• Hardware
• Software

Automated Fare Collection System Market, By Technology

• Smart cards
• Near field communication (NFC)
• Magnetic stripe cards
• Others

Automated Fare Collection System Market, By Application

• Public transportation
• Toll roads and bridges
• Parking facilities
• Others

Automated Fare Collection System Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Automated Fare Collection System Market.

Available Customizations:

Global Automated Fare Collection System Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Automated Fare Collection System Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By component (Hardware, Software)
  • 5.2.2. By Technology (Smart cards, Near field communication (NFC), Magnetic stripe cards, Others)
  • 5.2.3. By Application (Public transportation, Toll roads and bridges, Parking facilities, Others)
  • 5.2.4. By Region
  • 5.2.5. By Company (2025)
• 5.3. Market Map

6. North America Automated Fare Collection System Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By component
  • 6.2.2. By Technology
  • 6.2.3. By Application
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Automated Fare Collection System Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By component
      • 6.3.1.2.2. By Technology
      • 6.3.1.2.3. By Application
  • 6.3.2. Canada Automated Fare Collection System Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By component
      • 6.3.2.2.2. By Technology
      • 6.3.2.2.3. By Application
  • 6.3.3. Mexico Automated Fare Collection System Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By component
      • 6.3.3.2.2. By Technology
      • 6.3.3.2.3. By Application

7. Europe Automated Fare Collection System Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By component
  • 7.2.2. By Technology
  • 7.2.3. By Application
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Automated Fare Collection System Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By component
      • 7.3.1.2.2. By Technology
      • 7.3.1.2.3. By Application
  • 7.3.2. France Automated Fare Collection System Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By component
      • 7.3.2.2.2. By Technology
      • 7.3.2.2.3. By Application
  • 7.3.3. United Kingdom Automated Fare Collection System Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By component
      • 7.3.3.2.2. By Technology
      • 7.3.3.2.3. By Application
  • 7.3.4. Italy Automated Fare Collection System Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By component
      • 7.3.4.2.2. By Technology
      • 7.3.4.2.3. By Application
  • 7.3.5. Spain Automated Fare Collection System Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By component
      • 7.3.5.2.2. By Technology
      • 7.3.5.2.3. By Application

8. Asia Pacific Automated Fare Collection System Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By component
  • 8.2.2. By Technology
  • 8.2.3. By Application
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Automated Fare Collection System Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By component
      • 8.3.1.2.2. By Technology
      • 8.3.1.2.3. By Application
  • 8.3.2. India Automated Fare Collection System Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By component
      • 8.3.2.2.2. By Technology
      • 8.3.2.2.3. By Application
  • 8.3.3. Japan Automated Fare Collection System Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By component
      • 8.3.3.2.2. By Technology
      • 8.3.3.2.3. By Application
  • 8.3.4. South Korea Automated Fare Collection System Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By component
      • 8.3.4.2.2. By Technology
      • 8.3.4.2.3. By Application
  • 8.3.5. Australia Automated Fare Collection System Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By component
      • 8.3.5.2.2. By Technology
      • 8.3.5.2.3. By Application

9. Middle East & Africa Automated Fare Collection System Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By component
  • 9.2.2. By Technology
  • 9.2.3. By Application
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Automated Fare Collection System Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By component
      • 9.3.1.2.2. By Technology
      • 9.3.1.2.3. By Application
  • 9.3.2. UAE Automated Fare Collection System Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By component
      • 9.3.2.2.2. By Technology
      • 9.3.2.2.3. By Application
  • 9.3.3. South Africa Automated Fare Collection System Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By component
      • 9.3.3.2.2. By Technology
      • 9.3.3.2.3. By Application

10. South America Automated Fare Collection System Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By component
  • 10.2.2. By Technology
  • 10.2.3. By Application
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Automated Fare Collection System Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By component
      • 10.3.1.2.2. By Technology
      • 10.3.1.2.3. By Application
  • 10.3.2. Colombia Automated Fare Collection System Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By component
      • 10.3.2.2.2. By Technology
      • 10.3.2.2.3. By Application
  • 10.3.3. Argentina Automated Fare Collection System Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By component
      • 10.3.3.2.2. By Technology
      • 10.3.3.2.3. By Application

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Automated Fare Collection System Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Cubic Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Thales Group
• 15.3. Omron Corporation
• 15.4. Samsung SDS
• 15.5. Nippon Signal Co., Ltd
• 15.6. Uber Technologies, Inc
• 15.7. Scheidt & Bachmann GmbH
• 15.8. GMV Innovating Solutions S.L
• 15.9. Advanced Card Systems Ltd.
• 15.10. LECIP Holdings Corporation

16. Strategic Recommendations

17. About Us & Disclaimer