Artificial Intelligence (AI) in Retail Market

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Artificial Intelligence (AI) in Retail Market To
Reach USD 18.74 Billion By 2026
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Market Summary

• The global Artificial Intelligence in the Retail
  market is forecast to reach USD 18.74 Billion by
  2026, according to a new report by Reports and
  Data. The retail industry has witnessed a surge
  in technological advances over the past decade.
  The sector has been influenced by the eCommerce
  revolution, and the industry has adopted and
  innovated new technologies into the market.
• Further key findings from the report suggest
• The online retail sector includes the transaction
  of various products. Customers no longer have to
  stand in queues to buy their preferred goods.
  They are able to purchase it from the comfort of
  their home or office. The online platform mainly
  targets customers who are too busy to visit the
  stores or want to shop from their comfort zone.
• Retail giants are using a combination of machine
  and deep learning, computer vision, and facial
  recognition to compete in online business. The
  same technology is used to drive self-driving
  cars. Amazon is using it in its Amazon Go grocery
  stores. It is currently deployed in Seattle, but
  its expansion is expected. The machine and Deep
  Learning segment are forecasted to grow with a
  CAGR of 38.0 during the forecast period.

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Market Summary
Key Players Amazon Web Services, IBM, Google,
Microsoft, Intel, ViSenze, Oracle, Nvidia, SAP,
and Salesforce, among others. Segmentation Type
Outlook (Revenue USD Billion 2016-2026) Online
Retail Offline Retail Technology Outlook
(Revenue USD Billion 2016-2026) Machine and
Deep learning Natural Language Processing
Others Deployment Mode Outlook (Revenue USD
Billion 2016-2026) Cloud On-Premises
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Market Summary

• Application Outlook (Revenue USD Billion
  2016-2026)
• Programmatic Advertising
• Market Forecasting
• Predictive Merchandising
• Location-based marketing
• In-Store Visual Monitoring and Surveillance
• Others
• Regional Outlook for Artificial Intelligence (AI)
  in Construction Market analyses the
• following geographies
• North America (United States, Canada, and Mexico)
• Europe (Germany, France, UK, Russia, and Italy)
• Asia-Pacific (China, Japan, Korea, India, and
  Southeast Asia)
• South America (Brazil, Argentina, Colombia, etc.)
• Middle East and Africa (Saudi Arabia, UAE, Egypt,
  Nigeria, and South Africa)
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The report emphasizes the following key questions

• What are the most lucrative and promising growth
  prospects for the market?
• Which sectors are expected to deliver a high
  growth rate and which industry aspects
• come into play in this advancement?
• Which geographies are estimated to exhibit the
  highest growth and the underlying causes?
• Which factors are impacting the future of the
  market and what are the driving factors?
• What are the hurdles and challenges curtailing
  the industrys growth in the forecast
• period?

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