The optical character recognition (OCR) automated fare collection systems market size has grown rapidly in recent years. It will grow from $1.24 billion in 2023 to $1.42 billion in 2024 at a compound annual growth rate (CAGR) of 14.4%. The expansion observed in the historical period can be attributed to several factors. These include a focus on enhancing passenger convenience, initiatives aimed at achieving interoperability and integration within transportation systems, and the effects of urbanization and efforts towards efficient traffic management.
The optical character recognition (OCR) automated fare collection systems market size is expected to see rapid growth in the next few years. It will grow to $2.45 billion in 2028 at a compound annual growth rate (CAGR) of 14.6%. The anticipated growth in the forecast period can be attributed to several key factors. These include the adoption of data-driven decision-making processes, the implementation of smart city initiatives aimed at improving urban transportation, and the emergence of mobility as a service (MaaS) initiatives that offer integrated transportation solutions. Major trends expected in the forecast period include enhanced biometric integration for secure and convenient fare collection, seamless integration of fare collection systems with mobility platforms to provide comprehensive transportation services, and the implementation of personalized fare pricing models to cater to individual passenger needs and preferences.
The optical character recognition (OCR) automated fare collection systems market is poised for growth, driven by the increasing demand for contactless payments. Contactless payments, which enable secure transactions without physical card insertion, are gaining traction due to their convenience and alignment with consumer preferences for touch-free transactions. OCR-based automated fare collection systems, adept at integrating with smart mobility solutions, offer enhanced convenience and speed to users by facilitating quick and contactless fare payments. Notably, in March 2022, UK Finance reported a significant surge in contactless payments, with 13.1 billion transactions made in 2021, marking a 36% increase from the previous year. This surge underscores the pivotal role of contactless payment demand in propelling the growth of OCR automated fare collection systems.
Businesses operating in the OCR automated fare collection systems sector prioritize the integration of smart card technology to streamline user experiences in public transportation. Leveraging intelligent card technology, these systems enable seamless fare payment and ticket validation, offering commuters an efficient means of accessing transportation services. For example, in August 2023, Datamatics collaborated with the Memphis Area Transit Authority (MATA) to introduce the GO901 Smart Card System, enhancing travel experiences in Memphis, USA. Through this collaboration, Datamatics successfully integrated its AFC platform into the GO901 Smart card solution, enabling commuters to make effortless ticket purchases and travel contactless. Moreover, Datamatics strategically deployed commuter-centric kiosks across the city to facilitate convenient card top-ups.
In March 2022, Modaxo Inc., a Canadian technology firm, completed the acquisition of Pcentra Ltd., an Israel-based provider of OCR-automated fare collection systems. This strategic move aims to bolster Modaxo's presence in the smart ticketing market and expand its portfolio in the transportation technology sector. The acquisition provides Modaxo with access to advanced cloud-based smart ticketing technology, enhancing its ability to deliver secure and convenient ticketing solutions for public transport passengers. Through this acquisition, Modaxo reinforces its commitment to innovation and customer-centric service offerings.
Major companies operating in the optical character recognition (OCR) automated fare collection systems market are Thales Group, Ticketer Limited, Infineon Technologies AG, Indra Sistemas S.A., Hitachi Rail Limited, Conduent Transportation LLC, Gemalto N.V., Advantech Co. Ltd., Cubic Transportation Systems Inc., Cubic Corporation +, GFI Genfare (SPX Corporation), Siemens Mobility GmbH, Flowbird Group SAS, Scheidt & Bachmann GmbH, IVU Traffic Technologies AG, LECIP Holdings Corporation, Trapeze Group, INIT GmbH, Masabi Ltd., Farelogix Inc., Avail Technologies Inc.
North America was the largest region in the optical character recognition (OCR) automated fare collection systems market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the optical character recognition (OCR) automated fare collection systems market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the optical character recognition (OCR) automated fare collection systems market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Optical character recognition (OCR) automated fare collection systems are technologies that leverage OCR to automatically read and process printed or handwritten characters on tickets or cards, facilitating seamless fare collection in transportation systems such as buses, trains, and subways. These systems integrate passenger information systems, payment gateways, and revenue management platforms, enabling seamless data exchange, interoperability, and centralized control, thereby streamlining overall transit operations and management.
The primary types of OCR automated fare collection systems include ticket vending machines (TVM), gate (entry or exit ticket machines), europay, mastercard, visa, and others. Ticket vending machines (TVM) are automated systems utilized for purchasing tickets or fare media and are commonly deployed in public transportation settings. These systems consist of hardware, software, and services equipped with technologies such as smart cards, near-field communication (NFC), barcodes, and others, catering to applications in buses, trains, metro systems, and more.
The optical character recognition (OCR) automated fare collection systems research report is one of a series of new reports that provides optical character recognition (OCR) automated fare collection systems market statistics, including the optical character recognition (OCR) automated fare collection systems industry's global market size, regional shares, competitors with optical character recognition (OCR) automated fare collection systems market share, detailed optical character recognition (OCR) automated fare collection systems market segments, market trends and opportunities, and any further data you may need to thrive in the optical character recognition (OCR) automated fare collection systems industry. This optical character recognition (OCR) automated fare collection systems market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The optical character recognition (OCR) automated fare collection systems market consists of revenues earned by entities by providing services such as ticket validation, fare calculation, customer support, and fraud detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The optical character recognition (OCR) automated fare collection systems market also includes sales of automatic fare gates, mobile ticketing applications, account management platforms, and data analytics software. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The optical character recognition (OCR) automated fare collection systems market size is expected to see rapid growth in the next few years. It will grow to $2.45 billion in 2028 at a compound annual growth rate (CAGR) of 14.6%. The anticipated growth in the forecast period can be attributed to several key factors. These include the adoption of data-driven decision-making processes, the implementation of smart city initiatives aimed at improving urban transportation, and the emergence of mobility as a service (MaaS) initiatives that offer integrated transportation solutions. Major trends expected in the forecast period include enhanced biometric integration for secure and convenient fare collection, seamless integration of fare collection systems with mobility platforms to provide comprehensive transportation services, and the implementation of personalized fare pricing models to cater to individual passenger needs and preferences.
The optical character recognition (OCR) automated fare collection systems market is poised for growth, driven by the increasing demand for contactless payments. Contactless payments, which enable secure transactions without physical card insertion, are gaining traction due to their convenience and alignment with consumer preferences for touch-free transactions. OCR-based automated fare collection systems, adept at integrating with smart mobility solutions, offer enhanced convenience and speed to users by facilitating quick and contactless fare payments. Notably, in March 2022, UK Finance reported a significant surge in contactless payments, with 13.1 billion transactions made in 2021, marking a 36% increase from the previous year. This surge underscores the pivotal role of contactless payment demand in propelling the growth of OCR automated fare collection systems.
Businesses operating in the OCR automated fare collection systems sector prioritize the integration of smart card technology to streamline user experiences in public transportation. Leveraging intelligent card technology, these systems enable seamless fare payment and ticket validation, offering commuters an efficient means of accessing transportation services. For example, in August 2023, Datamatics collaborated with the Memphis Area Transit Authority (MATA) to introduce the GO901 Smart Card System, enhancing travel experiences in Memphis, USA. Through this collaboration, Datamatics successfully integrated its AFC platform into the GO901 Smart card solution, enabling commuters to make effortless ticket purchases and travel contactless. Moreover, Datamatics strategically deployed commuter-centric kiosks across the city to facilitate convenient card top-ups.
In March 2022, Modaxo Inc., a Canadian technology firm, completed the acquisition of Pcentra Ltd., an Israel-based provider of OCR-automated fare collection systems. This strategic move aims to bolster Modaxo's presence in the smart ticketing market and expand its portfolio in the transportation technology sector. The acquisition provides Modaxo with access to advanced cloud-based smart ticketing technology, enhancing its ability to deliver secure and convenient ticketing solutions for public transport passengers. Through this acquisition, Modaxo reinforces its commitment to innovation and customer-centric service offerings.
Major companies operating in the optical character recognition (OCR) automated fare collection systems market are Thales Group, Ticketer Limited, Infineon Technologies AG, Indra Sistemas S.A., Hitachi Rail Limited, Conduent Transportation LLC, Gemalto N.V., Advantech Co. Ltd., Cubic Transportation Systems Inc., Cubic Corporation +, GFI Genfare (SPX Corporation), Siemens Mobility GmbH, Flowbird Group SAS, Scheidt & Bachmann GmbH, IVU Traffic Technologies AG, LECIP Holdings Corporation, Trapeze Group, INIT GmbH, Masabi Ltd., Farelogix Inc., Avail Technologies Inc.
North America was the largest region in the optical character recognition (OCR) automated fare collection systems market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the optical character recognition (OCR) automated fare collection systems market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the optical character recognition (OCR) automated fare collection systems market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Optical character recognition (OCR) automated fare collection systems are technologies that leverage OCR to automatically read and process printed or handwritten characters on tickets or cards, facilitating seamless fare collection in transportation systems such as buses, trains, and subways. These systems integrate passenger information systems, payment gateways, and revenue management platforms, enabling seamless data exchange, interoperability, and centralized control, thereby streamlining overall transit operations and management.
The primary types of OCR automated fare collection systems include ticket vending machines (TVM), gate (entry or exit ticket machines), europay, mastercard, visa, and others. Ticket vending machines (TVM) are automated systems utilized for purchasing tickets or fare media and are commonly deployed in public transportation settings. These systems consist of hardware, software, and services equipped with technologies such as smart cards, near-field communication (NFC), barcodes, and others, catering to applications in buses, trains, metro systems, and more.
The optical character recognition (OCR) automated fare collection systems research report is one of a series of new reports that provides optical character recognition (OCR) automated fare collection systems market statistics, including the optical character recognition (OCR) automated fare collection systems industry's global market size, regional shares, competitors with optical character recognition (OCR) automated fare collection systems market share, detailed optical character recognition (OCR) automated fare collection systems market segments, market trends and opportunities, and any further data you may need to thrive in the optical character recognition (OCR) automated fare collection systems industry. This optical character recognition (OCR) automated fare collection systems market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The optical character recognition (OCR) automated fare collection systems market consists of revenues earned by entities by providing services such as ticket validation, fare calculation, customer support, and fraud detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The optical character recognition (OCR) automated fare collection systems market also includes sales of automatic fare gates, mobile ticketing applications, account management platforms, and data analytics software. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. Optical Character Recognition (OCR) Automated Fare Collection Systems Market Characteristics3. Optical Character Recognition (OCR) Automated Fare Collection Systems Market Trends and Strategies32. Global Optical Character Recognition (OCR) Automated Fare Collection Systems Market Competitive Benchmarking33. Global Optical Character Recognition (OCR) Automated Fare Collection Systems Market Competitive Dashboard34. Key Mergers and Acquisitions in the Optical Character Recognition (OCR) Automated Fare Collection Systems Market
4. Optical Character Recognition (OCR) Automated Fare Collection Systems Market - Macro Economic Scenario
5. Global Optical Character Recognition (OCR) Automated Fare Collection Systems Market Size and Growth
6. Optical Character Recognition (OCR) Automated Fare Collection Systems Market Segmentation
7. Optical Character Recognition (OCR) Automated Fare Collection Systems Market Regional and Country Analysis
8. Asia-Pacific Optical Character Recognition (OCR) Automated Fare Collection Systems Market
9. China Optical Character Recognition (OCR) Automated Fare Collection Systems Market
10. India Optical Character Recognition (OCR) Automated Fare Collection Systems Market
11. Japan Optical Character Recognition (OCR) Automated Fare Collection Systems Market
12. Australia Optical Character Recognition (OCR) Automated Fare Collection Systems Market
13. Indonesia Optical Character Recognition (OCR) Automated Fare Collection Systems Market
14. South Korea Optical Character Recognition (OCR) Automated Fare Collection Systems Market
15. Western Europe Optical Character Recognition (OCR) Automated Fare Collection Systems Market
16. UK Optical Character Recognition (OCR) Automated Fare Collection Systems Market
17. Germany Optical Character Recognition (OCR) Automated Fare Collection Systems Market
18. France Optical Character Recognition (OCR) Automated Fare Collection Systems Market
19. Italy Optical Character Recognition (OCR) Automated Fare Collection Systems Market
20. Spain Optical Character Recognition (OCR) Automated Fare Collection Systems Market
21. Eastern Europe Optical Character Recognition (OCR) Automated Fare Collection Systems Market
22. Russia Optical Character Recognition (OCR) Automated Fare Collection Systems Market
23. North America Optical Character Recognition (OCR) Automated Fare Collection Systems Market
24. USA Optical Character Recognition (OCR) Automated Fare Collection Systems Market
25. Canada Optical Character Recognition (OCR) Automated Fare Collection Systems Market
26. South America Optical Character Recognition (OCR) Automated Fare Collection Systems Market
27. Brazil Optical Character Recognition (OCR) Automated Fare Collection Systems Market
28. Middle East Optical Character Recognition (OCR) Automated Fare Collection Systems Market
29. Africa Optical Character Recognition (OCR) Automated Fare Collection Systems Market
30. Optical Character Recognition (OCR) Automated Fare Collection Systems Market Competitive Landscape and Company Profiles
31. Optical Character Recognition (OCR) Automated Fare Collection Systems Market Other Major and Innovative Companies
35. Optical Character Recognition (OCR) Automated Fare Collection Systems Market Future Outlook and Potential Analysis
36. Appendix
Executive Summary
Optical Character Recognition (OCR) Automated Fare Collection Systems Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on optical character recognition (OCR) automated fare collection systems market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for optical character recognition (OCR) automated fare collection systems ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The optical character recognition (OCR) automated fare collection systems market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Type: Ticket Vending Machine (TVM); Gate (Entry Or Exit Ticket Machines); Europay, Mastercard, And Visa; Other Types.2) By Component: Hardware; Software; Services
3) By Technology: Smart Card; Near Field Communication (NFC); Barcode; Other Technologies
4) By Application: Bus; Train; Metro; Other Applications
Key Companies Mentioned: Thales Group; Ticketer Limited; Infineon Technologies AG; Indra Sistemas S.A.; Hitachi Rail Limited
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- Thales Group
- Ticketer Limited
- Infineon Technologies AG
- Indra Sistemas S.A.
- Hitachi Rail Limited
- Conduent Transportation LLC
- Gemalto N.V.
- Advantech Co. Ltd.
- Cubic Transportation Systems Inc.
- Cubic Corporation +
- GFI Genfare (SPX Corporation)
- Siemens Mobility GmbH
- Flowbird Group SAS
- Scheidt & Bachmann GmbH
- IVU Traffic Technologies AG
- LECIP Holdings Corporation
- Trapeze Group
- INIT GmbH
- Masabi Ltd.
- Farelogix Inc.
- Avail Technologies Inc
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 175 |
Published | May 2024 |
Forecast Period | 2024 - 2028 |
Estimated Market Value ( USD | $ 1.42 Billion |
Forecasted Market Value ( USD | $ 2.45 Billion |
Compound Annual Growth Rate | 14.6% |
Regions Covered | Global |
No. of Companies Mentioned | 21 |