description: The Financial Processing Centers layer consists of the following> Defense Finance and Accounting Services (DFAS) > DFAS like services associated with non DOD Federal Agencies > State Government Payment Centers > Internal Revenue Service payment centers (the IRS calls these 'Taxpayers Assistance Centers' > Check clearing houses including Federal Reserve locations that act as check clearing houses > Credit card payment processing centers > Defense Finance and Accounting Services provide accounting and finance services for military departments and defense agencies. Non-Defense Federal Government Equivalent agencies provide accounting and finance services for non-military government agencies. Internal Revenue Service Taxpayers Assistance Centers provided payment arrangements, account inquiries, adjustments, tax forms and preparation, and accepts payments. State Government Payment Centers provide payroll services for state government employees. Credit card clearinghouses participate in the transfer of funds for a credit card. And check clearinghouses participate in the transfer of funds for a check transaction. The basis of this dataset was information gathered from official internet websites for the agencies represented in this dataset, as well as other public domain and open source research. The name, address, phone number and geospatial location for 90% of the entities were completely verified by TGS. The locations for the balance of the entities were assigned using automated methods. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g. the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] attribute. Based upon this attribute the oldest record dates from 09/25/2006 and the newest record dates from 10/02/2006.; abstract: The Financial Processing Centers layer consists of the following> Defense Finance and Accounting Services (DFAS) > DFAS like services associated with non DOD Federal Agencies > State Government Payment Centers > Internal Revenue Service payment centers (the IRS calls these 'Taxpayers Assistance Centers' > Check clearing houses including Federal Reserve locations that act as check clearing houses > Credit card payment processing centers > Defense Finance and Accounting Services provide accounting and finance services for military departments and defense agencies. Non-Defense Federal Government Equivalent agencies provide accounting and finance services for non-military government agencies. Internal Revenue Service Taxpayers Assistance Centers provided payment arrangements, account inquiries, adjustments, tax forms and preparation, and accepts payments. State Government Payment Centers provide payroll services for state government employees. Credit card clearinghouses participate in the transfer of funds for a credit card. And check clearinghouses participate in the transfer of funds for a check transaction. The basis of this dataset was information gathered from official internet websites for the agencies represented in this dataset, as well as other public domain and open source research. The name, address, phone number and geospatial location for 90% of the entities were completely verified by TGS. The locations for the balance of the entities were assigned using automated methods. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g. the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] attribute. Based upon this attribute the oldest record dates from 09/25/2006 and the newest record dates from 10/02/2006.

911 Public Safety Answering Point (PSAP) service area boundaries in New Mexico According to the National Emergency Number Association (NENA), a Public Safety Answering Point (PSAP) is a facility equipped and staffed to receive 9-1-1 calls. The service area is the geographic area within which a 911 call placed using a landline is answered at the associated PSAP. This dataset only includes primary PSAPs. Secondary PSAPs, backup PSAPs, and wireless PSAPs have been excluded from this dataset. Primary PSAPs receive calls directly, whereas secondary PSAPs receive calls that have been transferred by a primary PSAP. Backup PSAPs provide service in cases where another PSAP is inoperable. Most military bases have their own emergency telephone systems. To connect to such system from within a military base it may be necessary to dial a number other than 9 1 1. Due to the sensitive nature of military installations, TGS did not actively research these systems. If civilian authorities in surrounding areas volunteered information about these systems or if adding a military PSAP was necessary to fill a hole in civilian provided data, TGS included it in this dataset. Otherwise military installations are depicted as being covered by one or more adjoining civilian emergency telephone systems. In some cases areas are covered by more than one PSAP boundary. In these cases, any of the applicable PSAPs may take a 911 call. Where a specific call is routed may depend on how busy the applicable PSAPS are (i.e. load balancing), operational status (i.e. redundancy), or time of date / day of week. If an area does not have 911 service, TGS included that area in the dataset along with the address and phone number of their dispatch center. These are areas where someone must dial a 7 or 10 digit number to get emergency services. These records can be identified by a "Y" in the [NON911EMNO] field. This indicates that dialing 911 inside one of these areas does not connect one with emergency services. This dataset was constructed by gathering information about PSAPs from state level officials. In some cases this was geospatial information, in others it was tabular. This information was supplemented with a list of PSAPs from the Federal Communications Commission (FCC). Each PSAP was researched to verify its tabular information. In cases where the source data was not geospatial, each PSAP was researched to determine its service area in terms of existing boundaries (e.g. city and county boundaries). In some cases existing boundaries had to be modified to reflect coverage areas (e.g. "entire county north of Country Road 30"). However, there may be cases where minor deviations from existing boundaries are not reflected in this dataset, such as the case where a particular PSAPs coverage area includes an entire county, and the homes and businesses along a road which is partly in another county. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics.

In Pugalur – a small village in Tamil Nadu, Swami a 55 year old farmer goes out to withdraw some money from his bank account. He takes out a smart card from his pocket and gives it to a business correspondent – a bank appointed agent who comes to the village with an electronic handheld device connected to the bank. The business correspondent takes Swami’s smart card and inserts it on his hand held device facilitating withdrawal of his money, deposits and other transactions.

Smart cards have not only changed Swami’s life but also the lives of millions of Indians living in remote villages who previously had no access to any kind of financial services. Be it an identity card, credit card, drivers license, health insurance card or a metro pass; smart cards are not only rapidly replacing paper and magnetic stripe cards wherever they are in use but have also started penetrating into sectors that had remained untapped so far.

In technology terms, smart cards resemble similar to “dumb” magnetic stripe cards, but with one major difference: embedded in them is a computer chip, either to process data held on the card, or to act as an access key to data that is held remotely. Smart cards are more secure than simple plastic or magnetic stripe cards and are more versatile, being able to store more data and operate multiple applications.

Till recently, the telecom sector has been the only prominent user of smart cards in the country. The picture is now undergoing a radical change. Driven by a number of public and private initiatives, the use of smart cards is getting more and more diversified. During 2013-2018, we expect smart cards to further percolate into a number of other sectors such as credit/debit cards, financial inclusion, public distribution, healthcare, identity management, transportation, etc. The versatile application of smart cards can be further validated from the fact that the telecom sector, which represented the biggest application sector in 2012, accounted for more than 70% of the total market volumes. In contrast, the National Population Register, which is expected to represent the biggest application segment in 2018, is expected to account for less than 31% of the total market volumes by 2018.

IMARC’s new report entitled “Smart Card Industry in India: SIM, Identity, Banking, Transport, Healthcare, Pay TV, Loyalty & PDS” gives a deep insight into the Indian smart cards market. The research study serves as an analytical as well as a statistical tool to understand not only the market trends, structure, drivers and restraints but also the outlook of the market till 2018. This report aims to serve as an excellent guide for investors, researchers, consultants, marketing strategists, and all those who are planning to foray into the smart card industry India in some form or the other.

What We Have Achieved in this Report

• Comprehensive situation analysis of the Indian smart cards market and its dynamics.
• Identifying all application segments/sub-segments and quantifying their current and future market potential.
• Providing a robust long range value and volume forecast for all segments and sub-segments.
• Providing an understanding of key drivers and restraints and their impact on current and future market scenario.

Smart Card Application Segments and Sub-segments Covered in this Report

• Telecommunication
• National Population Register Project
• Public Distribution System
• Pay TV
• Loyalty Cards
• Financial Services
  • Credit / Debit Cards
  • Financial Inclusion
  • PAN Cards
• Travel Identity
  • Driving License
  • Vehicle Registration Certificates
  • E-Passports
• Automated Fare Collection
  • Metro Rail Projects
  • Bus Projects
  • Indian Railways
• Healthcare
  • Rashtriya Swasthya Bima Yojna
  • Other Healthcare Applications

Focus of the Analysis for Each Segment and Sub-segment

• Segment/Sub-segment Overview
• Smart Card Implementation Scenario
• Historical and Future Smart Card Volume Demand
• Historical and Future Smart Card Value Demand

Research Methodology

• Initial Exploration of the Indian Smart Cards Market: Conducted primary and secondary market research to complement/enhance our current knowledge and to identify key market segments and sub-segments.
• Qualitative Market Research: Interviewed various industry stakeholders to gain a comprehensive insight into all major segments and sub segments. This included understanding key metrics and events such as smart card requirements, current and future demand, implementation timelines, success & risk factors, costs, etc.
• Quantifying the Current and Future Market Potential: Consolidated our results to quantify the value and volume potential of smart cards in each segment and sub-segment.
• Validating Our Results: Collaborated with industry stakeholders to validate our results and findings.

Information Sources

Information has been gleaned from both primary and secondary sources:

• Primary sources include industry surveys and face to face/telephone interviews with industry experts.
• Secondary sources include proprietary databases and search engines. These sources include company websites, reports, books, trade journals, magazines, white papers, industry portals, government sources and access to more than 4000 paid databases.

911 Public Safety Answering Point (PSAP) service area boundaries in the United States According to the National Emergency Number Association (NENA), a Public Safety Answering Point (PSAP) is a facility equipped and staffed to receive 9-1-1 calls. The service area is the geographic area within which a 911 call placed using a landline is answered at the associated PSAP. This dataset only includes primary PSAPs. Secondary PSAPs, backup PSAPs, and wireless PSAPs have been excluded from this dataset. Primary PSAPs receive calls directly, whereas secondary PSAPs receive calls that have been transferred by a primary PSAP. Backup PSAPs provide service in cases where another PSAP is inoperable. Most military bases have their own emergency telephone systems. To connect to such a system from within a military base, it may be necessary to dial a number other than 9 1 1. Due to the sensitive nature of military installations, TGS did not actively research these systems. If civilian authorities in surrounding areas volunteered information about these systems, or if adding a military PSAP was necessary to fill a hole in civilian provided data, TGS included it in this dataset. Otherwise, military installations are depicted as being covered by one or more adjoining civilian emergency telephone systems. In some cases, areas are covered by more than one PSAP boundary. In these cases, any of the applicable PSAPs may take a 911 call. Where a specific call is routed may depend on how busy the applicable PSAPs are (i.e., load balancing), operational status (i.e., redundancy), or time of day / day of week. If an area does not have 911 service, TGS included that area in the dataset along with the address and phone number of their dispatch center. These are areas where someone must dial a 7 or 10 digit number to get emergency services. These records can be identified by a "Y" in the [NON911EMNO] field. This indicates that dialing 911 inside one of these areas does not connect one with emergency services. This dataset was constructed by gathering information about PSAPs from state level officials. In some cases, this was geospatial information; in other cases, it was tabular. This information was supplemented with a list of PSAPs from the Federal Communications Commission (FCC). Each PSAP was researched to verify its tabular information. In cases where the source data was not geospatial, each PSAP was researched to determine its service area in terms of existing boundaries (e.g., city and county boundaries). In some cases, existing boundaries had to be modified to reflect coverage areas (e.g., "entire county north of Country Road 30"). However, there may be cases where minor deviations from existing boundaries are not reflected in this dataset, such as the case where a particular PSAPs coverage area includes an entire county plus the homes and businesses along a road which is partly in another county. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics.Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1) A disaster has struck, or is predicted for, a locality. The PSAP that may be affected must be identified and verified to be operational. 2) In the event that the local PSAP is inoperable, adjacent PSAP locations could be identified and utilized.