自動收費系統市場－全球產業規模、佔有率、趨勢、機會、預測：按組件、技術、應用、地區和競爭格局分類，2021-2031年

全球自動收費系統市場預計將從 2025 年的 103.6 億美元成長到 2031 年的 196.8 億美元，複合年成長率為 11.29%。

自動收費系統（AFC）是由硬體和軟體組成的整合網路，旨在實現公共交通票務流程的自動化，例如票價計算、檢驗和收入管理。其主要成長要素包括快速的都市化、擁塞交通樞紐對營運效率的需求以及向非接觸式支付生態系統的重大轉變。根據美國公共交通協會（APTA）的數據，預計到2024年，美國公共交通乘客數量將達到76.6億人次，這凸顯了開發可擴展的票價處理技術以應對不斷成長的客流量的緊迫性。

儘管前景樂觀，但市場仍面臨部署和維護先進自動收費系統（AFC）基礎設施所需的大量資本投資等重大障礙。硬體安裝的高成本、複雜的軟體整合以及持續的資料安全合規性，都可能阻礙資金緊張的運輸業者升級舊有系統。因此，這些財務障礙可能會阻礙現代收費解決方案的普及，並限制資金雄厚的營運商的市場滲透率。

市場促進因素

非接觸式和開放回路支付技術的快速普及正在從根本上改變全球自動收費系統市場，因為它無需專用票務基礎設施。交通運輸企業越來越傾向於開放回路系統，乘客可以使用個人非接觸式銀行卡或行動錢包在閘機處支付，從而顯著減少等待時間和現金處理成本。這種轉變提升了使用者體驗，為各種交通途徑提供了無縫的「輕觸即乘」選項。根據Visa在2024年10月發布的新聞稿，該公司在全球公共交通領域處理了20億筆非接觸式支付，這一數字在短短兩年內加倍。這凸顯了可互通金融科技的關鍵角色。

此外，智慧城市計畫和政府對交通基礎設施現代化改造的投資，在各級政府致力於整合永續交通和數位化管治的推動下，正在促進市場成長。聯邦和地方政府正大力投資升級具備即時分析能力的系統，以基於雲端的帳戶平台取代磁條系統。 2024年7月，美國聯邦運輸部管理局（FTR）津貼15億美元，用於117個現代化改造計劃。此外，根據英國鐵路和公路管理局統計，截至2024年3月的一年中，鐵路客運量達到16.1億人次，這加大了鐵路網實施高效、高容量票務解決方案的壓力。

市場挑戰

部署和維護基礎設施所需的大量資本投入是全球自動收費系統市場成長的一大障礙。建造包括檢驗終端和售票亭在內的綜合硬體網路需要大量的預付成本，這對於許多交通運營商來說難以承受。此外，整合複雜的後端軟體以及確保持續的資料安全合規性也會帶來額外的財務負擔。這種經濟負擔迫使資金緊張的業者放棄從舊有系統遷移，導致市場覆蓋範圍往往主要局限於資金雄厚的大都會圈市政府。

公共交通領域普遍存在的預算短缺進一步加劇了這一財務困境。由於營運資金不足，各機構往往不得不降低技術升級的優先順序。根據美國公共交通協會 (APTA) 2024 年的數據，71% 的主要交通運輸服務提供者預計，由於聯邦紓困資金到期和收入復甦緩慢，將面臨財務危機。這種預算不穩定直接限制了市場，迫使各機構將有限的資源集中用於維持基本服務水平，而不是投資於現代化的票務系統。

市場趨勢

行動端和QR碼票務解決方案的興起，透過將票價支付與專用硬體脫鉤，使公共交通網路的准入更加普及。與依賴銀行基礎設施的開放回路系統不同，整合到通訊應用中的行動優先架構，使公車公司能夠服務於沒有銀行帳戶的乘客，同時降低實體售票機的維修成本。這種以設備為中心的票價收取方式，對於希望在不增加實體空間的情況下最佳化客流的高流量樞紐站至關重要。根據《新印度快報》2025年11月的一份報告顯示，2025年10月，清奈地鐵透過WhatsApp購買車票的次數達到52.5萬次，這充分展現了利用消費者應用程式作為一種無需硬體的交通方式所帶來的營運效益。

同時，市場正果斷地向軟體即服務 (SaaS) 交付模式轉型，以靈活的訂閱平台取代僵化的傳統架構。這種轉變使交通運營商無需投入大量前期資本即可獲得持續更新和模組化功能，從而避免技術過時。透過利用雲端原生共用平台，企業可以加快部署速度並擴展營運規模，以滿足不斷變化的需求。 Masabi 於 2025 年 8 月宣布，該公司已在當年上半年完成了 54 項主要的票務系統升級，這也反映了這一趨勢。這表明 SaaS 模式為公共交通網路的現代化帶來了更高的速度和柔軟性。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球自動收費系統市場展望

• 市場規模及預測
  • 按金額
• 市佔率及預測
  • 依組件（硬體、軟體）
  • 依技術分類（智慧卡、近距離場通訊（NFC）、磁條卡等）
  • 按用途（公共交通、收費公路/橋樑、停車設施、其他）
  • 按地區
  • 按公司（2025 年）
• 市場地圖

第6章：北美自動收費系統市場展望

• 市場規模及預測
• 市佔率及預測
• 北美洲：國別分析
  • 美國
  • 加拿大
  • 墨西哥

第7章：歐洲自動收費系統市場展望

• 市場規模及預測
• 市佔率及預測
• 歐洲：國別分析
  • 德國
  • 法國
  • 英國
  • 義大利
  • 西班牙

第8章：亞太地區自動收費系統市場展望

• 市場規模及預測
• 市佔率及預測
• 亞太地區：國別分析
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲

第9章：中東和非洲自動收費系統市場展望

• 市場規模及預測
• 市佔率及預測
• 中東與非洲：國別分析
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第10章：南美洲自動收費系統市場展望

• 市場規模及預測
• 市佔率及預測
• 南美洲：國別分析
  • 巴西
  • 哥倫比亞
  • 阿根廷

第11章 市場動態

• 促進因素
• 任務

第12章 市場趨勢與發展

• 併購
• 產品發布
• 近期趨勢

第13章：全球自動收費系統市場：SWOT分析

第14章：波特五力分析

• 產業競爭
• 新進入者的潛力
• 供應商的議價能力
• 顧客權力
• 替代品的威脅

第15章 競爭格局

• 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16章 策略建議

第17章：關於研究公司及免責聲明

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