“The Artificial Intelligence In Retail Market size was valued at US$ 1.8 Bn in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 28.7% for the forecast period ending 2027 reaching a Market value of US$ 10.7 Bn.”

Global “Artificial Intelligence In Retail Market Forecast to 2027” Updated report added by AllTheResearch provides comprehensive coverage on major industry drivers, restraints, and their impact on market growth during the forecast period 2021-2027. This report has segmented the global Artificial Intelligence In Retail market based on types, technology, and region. The research report studies the past, present, and future performance of the global market. The report further analyzes the present competitive scenario, prevalent business models, and the likely advancements in offerings by significant players in the coming years.

The global Artificial Intelligence In Retail market report studies each market segment by its demand, current trends, competitive strengths, large and growing domestic paper market, up-to-date data, applications, well-established markets, local market knowledge, competitive threats, reasons for weakening the competitiveness of certain competitors. Information about the key competitors is deeply studied in this report using figures relating to the development rate gauge, huge market size, and share.

The major company profiles covered in this report are:

  • Intel Corporation
  • Microsoft Corporation
  • International Business Machines Corporation (IBM)
  • Facebook, Inc.
  • Baidu, Inc.
  • Cisco
  • SAS Institute
  • SAP SE
  • Alibaba Cloud
  • Samsung Electronics
  • salesforce.com, Inc.
  • Iflytek Co. Ltd.
  • Aibrain
  • AI chipmaker Graphcore
  • Oracle Systems Corporation
  • Siemens
  • Aktiengesellschaft
  • Hewlett Packard Enterprise
  • NVIDIA Corporation
  • Amazon Web Services
  • Mellanox Technologies

Based on product, this report displays the production, revenue, price, market share, and growth rate of each type, primarily split into:

  • By Offering(Services, Software)
  • By Deployment(On-Premise, Cloud)
  • By Technology(NLP, Machine learning, Predictive Analytics, Deep learning)

Based on the end users/applications, Artificial Intelligence In Retail report focuses on the status and outlook for major applications/end users, consumption (sales), market share, and growth rate for each application, including:

  • By Application(Payment and Pricing Analytics, Product Optimization, Customer Relationship Management, Supply chain & logistics, In-Store Navigation)
  • By Region(Asia Pacific, North America, Latin America, Europe, Middle East & Africa)

Artificial Intelligence In Retail Market Report Customization:

Our dynamic and proprietary data-mining technology has given us the flexibility to maintain both precision and speed while delivering exclusive and custom insights to our clients.

We conduct customization of the Research data on all key fronts – Regional, Segment, Competitive landscape level. For every reported purchase, we offer 50 analyst hours of free customization.

Geographically, this report is segmented into several key regions, with sales, revenue, market share and growth rate of Artificial Intelligence In Retail in these regions, from 2016 to 2026, covering

  • North America [United States, Canada, Mexico]
  • South America [Brazil, Argentina, Columbia, Chile, Peru]
  • Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
  • Middle East & Africa [GCC, North Africa, South Africa]
  • Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]

The Covid19 pandemic has transformed the market landscape. The market ecosystem has taken a directional shift in the way the supply-side of the market is accessed. The report covers the aftermath of the Covid19 catastrophe.

Chapters Include in Global Artificial Intelligence In Retail Market Research Report 2021 – 2027

  1. Artificial Intelligence In Retail Market Overview
  2. Global Economic Impact on Industry
  3. Global Artificial Intelligence In Retail Market Competition by Key Players
  4. Global Production, Revenue (Value) by Region
  5. Global Supply (Production), Consumption, Export, Import by Regions
  6. Global Production, Revenue (Value), Price Trend by Type
    • By Offering(Services, Software)
    • By Deployment(On-Premise, Cloud)
    • By Technology(NLP, Machine learning, Predictive Analytics, Deep learning)
  7. Global Artificial Intelligence In Retail Market Analysis by Application
    • By Application(Payment and Pricing Analytics, Product Optimization, Customer Relationship Management, Supply chain & logistics, In-Store Navigation)
    • By Region(Asia Pacific, North America, Latin America, Europe, Middle East & Africa)
  8. Cost Analysis
  9. Industrial Chain, Sourcing Strategy, and Downstream Buyers
  10. Marketing Strategy Analysis, Distributors/Traders
  11. Artificial Intelligence In Retail Market Effect Factors Analysis
  12. Global Artificial Intelligence In Retail Market Forecast

For More Details Kindly Visit at https://www.alltheresearch.com/report/318/Artificial Intelligence In Retail -market

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