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Automated Fare Collection Market Revenue Surges: Acumen Research Projection

03-19-2024 01:44 PM CET | IT, New Media & Software

Press release from: Acumen Research and Consulting

Automated Fare Collection Market Revenue Surges: Acumen

Key Points and Statistics on the Automated Fare Collection Market:
● The global AFC market size is expected to reach USD 39.8 billion by 2032, growing at a CAGR of 13.3% from 2023 to 2032.
● North America leads the market, holding over 33% of the market share in 2022.
● The railway and transportation segment is the largest end-use segment, accounting for over 41% of the market in 2022.
● Smart card technology led the AFC market in 2022, with over 29% market share.
● Key market drivers include the increasing demand for cashless transactions and the need for improved transportation infrastructure.

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Automated Fare Collection Market Overview and Analysis:
AFC systems are not just a technological upgrade but a complete overhaul of the fare collection process in public transportation. These systems offer numerous benefits, including cost savings for transit operators through reduced cash handling and improved efficiency. However, challenges such as high implementation costs and technical compatibility issues persist. The market is ripe with opportunities, including the development of new payment technologies and the integration of AFC systems with other transit-related technologies.

Latest Automated Fare Collection Market Trends and Innovations:
● The rise of Near-field communication (NFC) technology: NFC is a short-range wireless communication technology that offers faster transactions, improved security, and data privacy. It is expected to grow rapidly in the AFC market, as it is being increasingly adopted by transit operators.
● The integration of AFC systems with real-time tracking and passenger information systems: This trend is driven by the need for more efficient and reliable transit systems. By integrating AFC systems with real-time tracking and passenger information systems, transit operators can improve operational efficiency, reduce passenger wait times, and provide real-time information to passengers.
● The use of cloud-based AFC systems: Cloud-based AFC systems are becoming increasingly popular, as they offer a number of advantages over traditional on-premise systems. Cloud-based systems are more scalable, reliable, and secure. They also offer the ability to access data and reports from anywhere, which can be a valuable asset for transit operators.
● The development of new AFC technologies: New AFC technologies are constantly being developed, as transit operators look for ways to improve the efficiency, security, and convenience of their fare collection systems. Some of the latest AFC technologies include biometric identification, facial recognition, and mobile ticketing.

Major Growth Drivers of the Automated Fare Collection Market:
The primary growth drivers include the increasing demand for cashless and contactless payments in public transportation and the global push for improved transportation infrastructure. Government initiatives promoting digital payments in public transportation are also significant contributors to market growth.

Key Challenges Facing the Automated Fare Collection Industry:
Challenges include high costs of AFC system implementation and technical issues related to system compatibility. Additionally, the market faces regulatory challenges and environmental concerns related to the use of certain technologies.

Market Segmentation Insights:

● By Component:
○ Software
○ Hardware (leading the market in 2022)

● By System:
○ Ticket Vending Machine (TVM)
○ IC Cards
○ Fare Gates
○ Ticket Office Machine (TOM)

● By Technology:
○ Near-field communication (NFC)
○ Smart Card
○ Optical Character Recognition (OCR)
○ Magnetic Stripe

● By Application:
○ Railways & Transportation
○ Entertainment
○ Parking
○ Others

Overview by Region of the Automated Fare Collection Market:
North America dominates the AFC market, attributed to the high adoption of advanced technologies and digital payment systems. The presence of major market players and a robust transportation infrastructure also contribute to this dominance.

Automated Fare Collection Market Table of Content:

CHAPTER 1. Industry Overview of Automated Fare Collection Market

CHAPTER 2. Research Approach

CHAPTER 3. Market Dynamics And Competition Analysis

CHAPTER 4. Manufacturing Plant Analysis

CHAPTER 5. Automated Fare Collection Market By Component

CHAPTER 6. Automated Fare Collection Market By System

CHAPTER 7. Automated Fare Collection Market By Technology

CHAPTER 8. Automated Fare Collection Market By Application

CHAPTER 9. North America Automated Fare Collection Market By Country

CHAPTER 10. Europe Automated Fare Collection Market By Country

CHAPTER 11. Asia Pacific Automated Fare Collection Market By Country

CHAPTER 12. Latin America Automated Fare Collection Market By Country

CHAPTER 13. Middle East & Africa Automated Fare Collection Market By Country

CHAPTER 14. Player Analysis Of Automated Fare Collection Market

CHAPTER 15. Company Profile

List of Key Players in the Global Market:
The market includes notable companies such as Indra Sistemas SA, Advanced Card Systems Ltd., GMV, LECIP Holdings Corporation, Cubic Transportation Systems, Atos SE, Siemens AG, LG Corporation, Omron Corporation, Thales Group, Nippon Signal, Masabi Ltd., Samsung SDS Co. Ltd, and Scheidt & Bachmann GmbH.

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Acumen Research and Consulting (ARC) is a global provider of market intelligence and consulting services to information technology, investment, telecommunication, manufacturing, and consumer technology markets. ARC helps investment communities, IT professionals, and business executives to make fact based decisions on technology purchases and develop firm growth strategies to sustain market competition. With the team size of 100+ Analysts and collective industry experience of more than 200 years, Acumen Research and Consulting assures to deliver a combination of industry knowledge along with global and country level expertise.

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