Automated Fare Collection Market Growth Forecast 2024-2030: Regional Insights, Trends, and Strategic Opportunities

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The North America region is expected to hold the highest share in the Automated Fare Collection Market.

Automated Fare Collection Market Overview:

Maximize Market Research is a Business Consultancy Firm that has published a detailed analysis of the “Automated Fare Collection Market”. The report includes key business insights, demand analysis, pricing analysis, and competitive landscape. The analysis in the report provides an in-depth aspect at the current status of the Automated Fare Collection market, with forecasts outspreading to the year 2030.

Expected Expansion of Automated Fare Collection Market: 

Automated Transportation Receipt The market is predicted to increase from its 2023 valuation of USD 18.1 billion to USD 45.85 billion by 2030, or a compound annual growth rate (CAGR) of 14.2% over the course of the forecast period.

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Automated Fare Collection Market Scope and Methodology:

Maximize market research covers competitive landscape, key competitors and their market shares for better understanding of the industry. The report also discusses new product developments and technology trends. The report provides a detailed overview of the Automated Fare Collection market through both quantitative and qualitative analysis. The report aims to help readers develop business strategies and assess their position in the market by providing a comprehensive analysis of the competitive landscape. The purpose of the report is to provide the necessary information to make an informed decision regarding the Automated Fare Collection market. In addition, the report delivers information on revenue, sales volume, and average price of the entire market and sub-segments in various segments and regions to assist portable notebook manufacturers, new entrants, and companies involved in the industry chain market.

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Automated Fare Collection Market Regional Insights:

In a regional analysis, the Automated Fare Collection market is segmented into North America, South America, Europe, the Middle East and Africa, and Asia Pacific. These regions are classified as corresponding countries such as the United States, Canada, Mexico, United Kingdom, Germany, France, Spain, Italy, Rest of Europe, China, India, Japan, Australia, and South Korea.

Automated Fare Collection Market Segmentation:

by Technology

Smart Cards
Near Field Communication (NFC)
Magnetic Stripe

The market is split into three segments: magnetic stripes, near field communication (NFC), and smart cards. The sub-segment of Smart Cards is anticipated to yield the most income among these. In 2023, the Smart Cards subsegment saw the most revenue. As the market leader in terms of revenue for Automated Fare Collection (AFC) in 2023, the Smart Cards subsegment is essential to the global transformation of public transportation systems. Secure chips included in contactless payment mechanisms, or smart cards, allow for smooth fare transactions. For commuters, these cards act as digital wallets that let them easily access buses, trains, and subways, among other forms of transit. Smart cards are crucial to AFC because they make collecting fares easier, provide more convenience for passengers.

by Component

Hardware
Software

by System

Ticket Vending Machine (TVM)
Ticket Office Machine (TOM)
Fare Gates
IC Cards

by Application

Railways Transportation
Parking
Entertainment
Others (Government, Retail)

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Automated Fare Collection Market Key Players:

North America
1. Cubic Corporation(United States)
2. Visa Inc. (United States)
3. CPI Card Group Inc. (United States)
4. TransCore (United States)

Europe
5. Thales Group (France)
6. NXP Semiconductors (Netherlands)
7. Samsung SDS (South Korea)
8. LG CNS Co., Ltd. (South Korea)
9. Scheidt Bachmann GmbH (Germany)
10. Siemens AG (Germany)
11. STMicroelectronics (Switzerland)
12. Atos SE (France)
13. Indra Sistemas S.A. (Spain)
14. GMV Innovating Solutions (Spain)

Asia Pacific
15. Huawei Technologies Co., Ltd. (China)
16. Nippon Signal Co., Ltd. (Japan)
17. Vix Technology (Australia)
18. SC Soft (Hong Kong)

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Key questions answered in the Automated Fare Collection Market are:

  • What is Automated Fare Collection?
  • What was the Automated Fare Collection market size in 2023?
  • What is the growth rate of the Automated Fare Collection Market?
  • What is the CAGR at which the Automated Fare Collection market will grow during the forecast period?
  • What are the different segments of the Automated Fare Collection Market?
  • Which is the fastest-growing region in the Automated Fare Collection market?
  • Which are the factors expected to drive the Automated Fare Collection market growth?
  • What growth strategies are the players considering to increase their presence in Automated Fare Collection?
  • What are the upcoming opportunities and trends for the Automated Fare Collection Market?
  • What are the recent industry trends that can be implemented to generate additional revenue streams for the Automated Fare Collection Market?
  • What segments are covered in the Automated Fare Collection Market?
  • Who are the key players in the Automated Fare Collection market?
  • Who are the leading companies and what are their portfolios in Automated Fare Collection Market?

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Key Offerings:

  • Past Market Size and Competitive Landscape (2018 to 2023)
  • Past Pricing and price curve by region (2018 to 2023)
  • Market Size, Share, Size Forecast by Different Segment | 2024−2030
  • Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by Region
  • Market Segmentation – A detailed analysis by segment with their sub-segments and Region
  • Competitive Landscape – Profiles of selected key players by region from a strategic perspective
    • Competitive landscape – Market Leaders, Market Followers, Regional player
    • Competitive benchmarking of key players by region
  • PESTLE Analysis
  • PORTER’s analysis
  • Value chain and supply chain analysis
  • Legal Aspects of Business by Region
  • Lucrative business opportunities with SWOT analysis
  • Recommendations

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