Albany, NewYork (PRWEB) June 18, 2014
While e-commerce via a traditional browser and a PC or laptop rules the home for now, mobile is rapidly gaining market share as POS transactions are increasingly handled by mobile devices. Many aspects of the mobile payments ecosystem are evolving including what people buy, how purchases are made, what devices are used, how purchases are funded, how merchants or producers are monetized, and even the identity of sellers and buyers.
This research evaluates the latest mobile payments technologies, mobile wallet options, and the mobile payments ecosystem including credit card companies and other financial institutions.
The report analyzes the future of various payment methods and predicts the winners and losers such as NFC vs. Cloud-based payments.
The report also provides in-depth market analysis, forecasting, and value chain assessment relative to the anticipated roadmap for mobile payments through 2020.
All report purchases include telephone time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
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Mobile Device Vendors
Mobile Network Operators
Mobile Commerce Companies
Wireless Infrastructure Companies
Forecast for mobile payments from 2014 through 2020
Understand alternative payment methods and interfaces
Understand the mobile payments ecosystem and players
Identify key drivers for the evolution of mobile payments
Understand when and why Cloud-based payments will dominate
Recognize the influence of financial institutions and alternative players
Learn when and why wearable technology will significantly impact payments
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Machine vision (MV) is a technology (http://www.researchmoz.us/machine-vision-technologies-market-global-industry-analysis-size-share-growth-trends-and-forecast-2013-2019-report.html) used to provide imaging based automatic analysis and inspection in various industrial applications such as process control, automatic inspection and robot guidance among others. Common machine vision technology applications include sorting, quality assurance, robot guidance, material handling and optical gauging. This technology offers various benefits such as automation of production process, higher production speed and improved product quality. MV technology is being increasingly used to replace manual measurements and inspection with digital cameras and image processing.
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