India's Automated Fare Collection System Market (2022-2027) by Application, System, Service Type, Technology, and Industry, IGR Competitive Analysis, and the Impact of Covid-19 with Ansoff Analysis
Introduction
India's Automated Fare Collection System Market is estimated to be USD 648.25 Mn in 2022 and is expected to reach USD 1153.7 Mn by 2027, growing at a CAGR of 12.22%.
Market Dynamics
Market dynamics are forces that impact the prices and behaviors of the India's Automated Fare Collection System Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.
As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.
Market Segmentation
The India's Automated Fare Collection System Market is segmented based on Application, System, Service Type, Technology, and Industry.
By Application, the market is classified into Parking, Transportation, Theme Parks, and Other.
By System, the market is classified into Consultation, System Implantation, Training and Maintenance, and Managed Services.
By Service Type, the market is classified into Hardware and Software.
By Technology, the market is classified into Smart Card, Optical Character Recognition (OCR), Near Field Communication (NFC), Magnetic Stripes, and Others.
By Industry, the market is classified into Transport and Logistics, Retail, Media & Entertainment, Government, and Others.
Company Profiles
The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Atos SE India, AUM Infotech Pvt. Ltd., Efkon India Pvt. Ltd., MCML Projects Pvt. Ltd., Thales India Pvt. Ltd., Ags IndiaAgs India, AUM Infotech Pvt. Ltd., Datamatics, Dormakaba Holding, etc.
IGR Competitive Quadrant
The report includes IGR Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.
Ansoff Analysis
The report presents a detailed Ansoff matrix analysis for the India's Automated Fare Collection System Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
Infogence Global Research analyses the India's Automated Fare Collection System Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
Based on the SWOT analysis conducted on the industry and industry players, Infogence Global Research has devised suitable strategies for market growth.
Why buy this report?
- The report offers a comprehensive evaluation of the India's Automated Fare Collection System Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
- The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
- The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
- The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
- The report also contains the competitive analysis using IGR Positioning Quadrants, Infogence's Proprietary competitive positioning tool.
- A complete analysis of the market, including parent industry
- Important market dynamics and trends
- Market segmentation
- Historical, current, and projected size of the market based on value and volume
- Market shares and strategies of key players
- Recommendations to companies for strengthening their foothold in the market
Companies Mentioned
Atos SE India
AUM Infotech Pvt. Ltd.
Efkon India Pvt. Ltd.
MCML Projects Pvt. Ltd.
Thales India Pvt. Ltd.
Ags IndiaAgs India
AUM Infotech Pvt. Ltd.
Datamatics
Dormakaba Holding
Efkon India Pvt. Ltd.
LG CNS
MCML Projects Pvt. Ltd.
NEC
NXP Semiconductors
Omron Corporation
Samsung SDS
Samsung SDS
Thales Group
- 1 Report Description
- 1.1 Study Objectives
- 1.2 Market Definition
- 1.3 Currency
- 1.4 Years Considered
- 1.5 Language
- 1.6 Key Stakeholders
- 2 Research Methodology
- 2.1 Research Process
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.2.3 IGR Models
- 2.3 Market Size Estimation
- 2.3.1 Bottom-Up Approach
- 2.3.2 Top-Down Approach
- 2.4 Assumptions of the Study
- 2.5 Limitations of the Study
- 3 Executive Summary
- 3.1 Introduction
- 3.2 Market Size, Segmentation, and Outlook
- 4 Market Dynamics
- 4.1 Drivers
- 4.1.1 Contactless and Transparent Payment
- 4.1.2 Increasing Adoption of Smartphones and Online Payments
- 4.1.3 The Proliferation of Mass Rapid Transportation Systems (MRTS)
- 4.1.4 Government Initiatives in Development of Smart Urban Mobility
- 4.1.5 Less Manpower Cost & Less Operational Time
- 4.2 Restraints
- 4.2.1 High Installation and Maintenance Cost
- 4.3 Opportunities
- 4.3.1 Increase in Adoption of High-Speed Of Public Transport
- 4.3.2 Advanced Payment Technologies
- 4.4 Challenges
- 4.4.1 Slow Adoption
- 4.4.2 Security Concerns
- 5 Market Analysis
- 5.1 Regulatory Scenario
- 5.2 Porter's Five Forces Analysis
- 5.3 Impact of COVID-19
- 5.4 Ansoff Matrix Analysis
- 6 India's Automated Fare Collection System Market, By Application
- 6.1 Introduction
- 6.2 Parking
- 6.3 Transportation
- 6.4 Theme Parks
- 6.5 Other
- 7 India's Automated Fare Collection System Market, By Service Type
- 7.1 Introduction
- 7.2 Consultation
- 7.3 System Implantation
- 7.4 Training and Maintenance
- 7.5 Managed Services
- 8 India's Automated Fare Collection System Market, By Components
- 8.1 Introduction
- 8.2 Hardware
- 8.3 Software
- 9 India's Automated Fare Collection System Market, By Technology
- 9.1 Introduction
- 9.2 Smart Card
- 9.3 Optical Character Recognition (OCR)
- 9.4 Near Field Communication (NFC)
- 9.5 Magnetic Stripes
- 9.6 Others
- 10 India's Automated Fare Collection System Market, By Industry
- 10.1 Introduction
- 10.2 Transport and Logistics
- 10.3 Retail
- 10.4 Media & Entertainment
- 10.5 Government
- 10.6 Others
- 11 Competitive Landscape
- 11.1 IGR Competitive Quadrant
- 11.2 Market Share Analysis
- 11.3 Strategic Initiatives
- 11.3.1 M&A and Investments
- 11.3.2 Partnerships and Collaborations
- 11.3.3 Product Developments and Improvements
- 12 Company Profiles
- 12.1 Atos SE India
- 12.2 AUM Infotech Pvt. Ltd.
- 12.3 Efkon India Pvt. Ltd.
- 12.4 MCML Projects Pvt. Ltd.
- 12.5 Thales India Pvt. Ltd.
- 12.6 Ags IndiaAgs India
- 12.7 AUM Infotech Pvt. Ltd.
- 12.8 Datamatics
- 12.9 Dormakaba Holding
- 12.10 Efkon India Pvt. Ltd.
- 12.11 LG CNS
- 12.12 MCML Projects Pvt. Ltd.
- 12.13 NEC
- 12.14 NXP Semiconductors
- 12.15 Omron Corporation
- 12.16 Samsung SDS
- 12.17 Samsung SDS
- 12.18 Thales Group
- 13 Appendix
- 13.1 Questionnaire
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