Image Recognition Market Size, Share, Development, Growth and Demand Forecast to 2020.pdf
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Global <strong>Image</strong> <strong>Recognition</strong> <strong>Market</strong> <strong>Size</strong>, <strong>Share</strong>, <strong>Development</strong>,<br />
<strong>Growth</strong> <strong>and</strong> Dem<strong>and</strong> <strong>Forecast</strong> <strong>to</strong> 2020<br />
The image recognition market is growing by a significant rate due <strong>to</strong> increased use of smartphones, technology<br />
being embraced by various verticals, <strong>and</strong> increased dem<strong>and</strong> for augmented reality (AR) <strong>and</strong> virtual reality (VR).<br />
Increasing dem<strong>and</strong> for data analytics, increasing use of image recognition in media, br<strong>and</strong>ing <strong>and</strong> entertainment,<br />
<strong>and</strong> increasing mergers <strong>and</strong> acquisitions are providing ample opportunities <strong>to</strong> the image recognition market <strong>to</strong><br />
grow in the coming years.<br />
Explore more or request TOC on Global <strong>Image</strong> <strong>Recognition</strong> <strong>Market</strong> at:<br />
https://www.psmarketresearch.com/market-analysis/image-recognition-market<br />
North America leads the image recognition market followed by Europe owing <strong>to</strong> the highest implementation of<br />
image recognition solutions in the region. The U.S. holds the largest market for image recognition under North<br />
America region. The Asia-Pacific image recognition market is expected <strong>to</strong> grow with an exponential rate in the<br />
coming years due <strong>to</strong> high threats from terrorist attack with the increasing trend <strong>to</strong>wards e-governance in the<br />
region. Major users of image recognition technology in the region are Japan <strong>and</strong> China.<br />
In the previous years, card based recognition was an essential system for identifying individuals, but image<br />
recognition technology has emerged as the most significant technology <strong>to</strong> identify <strong>and</strong> verify the individuals.<br />
Services provided by image recognition technology, such as m-commerce, enable the consumers <strong>to</strong> shop online<br />
across a high quality visual environment <strong>and</strong> <strong>to</strong> pay from their mobile phones. To enhance in-s<strong>to</strong>re cus<strong>to</strong>mer<br />
service, the retailers are expected <strong>to</strong> adopt image recognition technology in the coming years, which will enable<br />
the cus<strong>to</strong>mers <strong>to</strong> scan an item through a mobile application. The adoption of such method by the retailers will cut<br />
down the operational <strong>and</strong> cus<strong>to</strong>mer support cost in retail industry.<br />
On the basis of types, the image recognition market can be categorized as object recognition, optical character<br />
recognition, barcode recognition, pattern <strong>and</strong> gradient matching, <strong>and</strong> facial recognition. The facial recognition<br />
market is growing at the highest rate among types of image recognition market due <strong>to</strong> advancement in the<br />
accuracy of the technology <strong>and</strong> the increasing use of face recognition technology in personal computers, tablets<br />
<strong>and</strong> smartphones. Additionally, rising government budget in the developing countries such as Russia, China <strong>and</strong><br />
India regarding homel<strong>and</strong> defense <strong>and</strong> security is supporting the growth of the facial recognition market. Facial<br />
recognition market is also expected <strong>to</strong> grow with the highest rate among types of image recognition market in the<br />
coming years due <strong>to</strong> rising use of the technology over card based technology in the residential <strong>and</strong> industrial<br />
sec<strong>to</strong>r.<br />
On the basis of components, the image recognition market can be categorized as hardware, software, <strong>and</strong><br />
services. The image recognition market can also be categorized on the basis of deployment type as on-dem<strong>and</strong><br />
<strong>and</strong> on-premises deployment. On the basis of end users, the image recognition market can be categorized as<br />
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