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(Hosting-NewsWire.com, November 18, 2017 ) Market Highlights:
Artificial Intelligence has the power to change the face of retail as we know it, opening the door to further opportunities for retailers provided they can distinguish the fact from the fiction. Researcher predicts that by 2022 85% of customer interactions will be managed by AI, leaving less than three years for brands to embrace AI and iron out any challenges associated with the technology.
Market Overview
The retail sector is in a state revolutionary change. New technologies continue to reshape the industry as retailers look to keep up with the demands of todays attention-poor, fickle, channel-hopping shopper. But perhaps the ultimate game-changer amidst the sea of new technologies is Artificial Intelligence. Tech giants like Apple, Facebook and Tesla are all investing in AI, and in the last two years alone weve seen the excitement and widespread press coverage of ground-breaking innovations and advancements: from Googles GO champion AlphaGo, to machines that can recognise faces with more accuracy than a human, to self-driving cars. The hype has reached a peak, but the buzz has also caused much confusion around the benefits and limitations of the technology and in particular its applicability in retail. As such, many retailers have been wary of implementing AI solutions into their business operations.
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Key Players:
United States Artificial Intelligence in Retail market competition by top manufacturers/players, with Artificial Intelligence in Retail sales volume, price, revenue (Million USD) and market share for each manufacturer/player; the top players including
Microsoft (US)
Google (US)
IBM (US)
NVIDIA (US)
Intel (US)
Oracle (US)
Amazon Web Services (US)
SAP (Germany)
Inbenta Technologies (US)
Nuance Communications (US)
SAMSUNG (South Korea)
Infosys (India)
Wipro (India)
Market Segments:
On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into
Machine Learning and Deep Learning
NLP
On the basis on the end users/applications, this report focuses on the status and outlook for major applications/end users, sales volume, market share and growth rate of Artificial Intelligence in Retail for each application, including
Cloud
On-Premises
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Key Facts Of the Artificial Intelligence in Retail Market:
The fundamental details associated with Artificial Intelligence in Retail trade just like the product definition, cost, variety of applications, demand and supply statistics are lined up in this report.
Competitive study of the most important Artificial Intelligence in Retail players can facilitate all the market players in analyzing the newest trends and business methods.
The deep analysis study of Artificial Intelligence in Retail market supported development opportunities, growth limiting factors and practicability of investment can forecast the market growth.
The study of rising Artificial Intelligence in Retail market segments and also the existing market segments can facilitate the readers in coming up with the business methods.
Regional Analysis:
Geographically, this report splits the United States market into seven regions:
The West
Southwest
The Middle Atlantic
New England
The South
The Midwest
with sales (volume), revenue (value), market share and growth rate of Artificial Intelligence in Retail in these regions, from 2012 to 2022 (forecast).
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Precise Market Reports
Ashish M
+1 (323) 744 6588
sales@precisemarketreports.com
Source: EmailWire.Com 
Source: EmailWire.com
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