Global ATM Market Report: 2014 Edition
- Report Description Table of Contents
A decade before ATM machine was a mere cash dispenser but today ATMs have become the statement of technological advancements of the financial institutions. The ATM has evolved through the years into a strong business advantage for banks and allowed financial institutions to provide their customers with a convenient way, round the clock, to carry out varying transactions including withdrawal of funds, account deposits, and balance updates. The most recent additions include bill payment, travel booking, and mobile ATMs. Although ATM machines are convenient to use, there are disadvantages associated with them like theft risks, operational issues and fiscal planning issues.
Countries like India, China and Brazil are witnessing huge opportunity in the ATM market. Other regions like the Middle East and Africa (MEA) is one of the fastest growing ATM market. The mature markets like the US and the UK have large ATM installed base but a very slow growth has been observed.
Advancements in technologies and increasing trend of automation, security standards, ATM hardware and wireless communication are likely to boost the growth of ATM market. Managing the ATM frauds and crimes has been a major concern of the worldwide ATM market.
The report analyzes the global ATM market and also provides detailed information regarding the key regional markets like the UK, the US, China, India, Brazil and Middle East and Africa. It 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