Global ATM (Automatic Teller Machine) Market Report - 2013 Edition By: Koncept Analytics

1. Global ATM Market Report - 2013 Edition
Koncept Analytics
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Over the past years, automated teller machines (ATMs) have become a commonly accepted way to
carry out varying transactions including withdrawal of cash, account deposits, balance updates, bill
payments and bookings. The highest growth in the number of ATMs being installed has been
recorded in Asia Pacific region driven by factors such as more cash in circulation, lower cost of ATM
hardware, aggressive deployment of new technologies and desire for self-service. Countries like
China, India and Indonesia offer a huge opportunity for ATM market as these are considered as
cash growing markets with expanding middle class. Other regions like Middle East & Africa, Central
and Eastern Europe also witnessed a moderate growth except North America that contracted in
2011. In developed markets like North America, Western Europe and Australia/New Zealand,
growth will be driven by demand for replacement units.
ATM industry is characterized by rapidly changing technology, evolving industry standards, frequent
new product introductions, price and cost reductions, and increasingly greater commoditization of
products, making differentiation difficult. ATM manufacturers are constantly required to develop
and introduce new solutions in the competitive, rapidly changing environment.
Global ATM Market Report - 2013 Edition

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The report analyzes the global ATM market and also provides detailed information regarding the
key regional markets like Europe, the US, China, India, and Australia. The report discusses the
various trends and drivers of the ATM market. The three top players operating in this market are
NCR Corporation, Diebold Inc. and Wincor Nixdorf, which have been profiled with a discussion of
their key strategies for growth.
By combining SPSS Inc.’s data integration and analysis capabilities with our relevant findings, we
have predicted the future growth of the industry. We employed various significant variables that
have an impact on this industry and created regression models with SPSS Base to determine the
future direction of the industry. Before deploying the regression model, the relationship between
independent variables and the dependent variable was analyzed using standard SPSS output,
including charts, tables and tests.
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