Asia-Pacific Artificial intelligence in Retail Market | Retail Industry Analysis

Summary:
In this report, the Asia-Pacific Artificial Intelligence in Retail market is valued at USD XX million in 2016 and is expected to reach USD XX million by the end of 2022, growing at a CAGR of XX% between 2016 and 2022.

Geographically, this report split Asia-Pacific into several key Regions:


  • China
  • Japan
  • South Korea
  • Taiwan
  • India
  • Southeast Asia
  • Australia


with sales (K Units), revenue (Million USD), market share and growth rate of Artificial Intelligence in Retail for these regions, from 2012 to 2022 (forecast).



Asia-Pacific 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)
  • Sentient Technologies (US)
  • Salesforce (US)
  • Amazon Web Services (US)
  • SAP (Germany)
  • Inbenta Technologies (US)
  • Nuance Communications (US)
  • SAMSUNG (South Korea)
  • Narrative Science (US)
  • Daisy Intelligence (Canada)
  • Infosys (India)
  • Wipro (India)
  • Happiest Minds (India)
  • MicroStrategy (US)
  • Dynamic Yield (US)
  • IPsoft (US)
  • Appier.com (Taiwan)
  • ViSenze (Singapore)
  • Manthan Software Services (India)
  • Optoro (US)

Get free sample Report:

On the basis of product, this report displays the sales volume (K Units), revenue (Million USD), product price (USD/Unit), 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 (K Units), market share and growth rate of Artificial Intelligence in Retail for each application, including:

  • Cloud
  • On-Premises

Browse full Report:

                Artificial Intelligence in Retail Market Report



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