Image Recognition in Retail Market 2021-2027 Industry Trend and Demands Research Report | Catchoom, IBM Corporation, LTUTech, Microsoft and NEC Corporation

The global Image Recognition In Retail Market is segmented on the basis of technology, component, deployment type, application. On the basis of technology, the market is segmented as code recognition, digital image processing, facial recognition, object recognition, others. On the basis of component, the market is segmented as software, services. On the basis of deployment type, the market is segmented as on-premises, cloud. On the basis of application, the market is segmented as visual product search, security and surveillance, vision analytics, marketing and advertising, others.

The growing use of the internet, along with the rising adoption of innovative technologies, such as the mobile, web, social media, and analytics, increase the growth of cloud-based image recognition in retail. Retailers deploy image recognition software solutions on-premises to strengthen and encourage marketing endeavors, which includes high costs with limited scalability.

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Major Key Players covered in this report:                          

  • Amazon Web Services, Inc.
  • Catchoom
  • IBM Corporation
  • Intelligence Retail
  • LTUTech
  • Microsoft
  • NEC Corporation
  • Qualcomm Technologies, Inc.

The report profiles the key players in the industry, along with a detailed analysis of their individual positions against the global landscape. The study conducts SWOT analysis to evaluate strengths and weaknesses of the key players in the Image Recognition in Retail market. The researcher provides an extensive analysis of the Image Recognition in Retail market size, share, trends, overall earnings, gross revenue, and profit margin to accurately draw a forecast and provide expert insights to investors to keep them updated with the trends in the market.

Competitive scenario:                                             

The study assesses factors such as segmentation, description, and applications of Image Recognition in Retail industries. It derives accurate insights to give a holistic view of the dynamic features of the business, including shares, profit generation, thereby directing focus on the critical aspects of the business.

Scope of the Report                                                                             

The research on the Image Recognition in Retail market focuses on mining out valuable data on investment pockets, growth opportunities, and major market vendors to help clients understand their competitor’s methodologies. The research also segments the Image Recognition in Retail market on the basis of end user, product type, application, and demography for the forecast period 2021–2027.  Comprehensive analysis of critical aspects such as impacting factors and competitive landscape are showcased with the help of vital resources, such as charts, tables, and infographics.

Image Recognition in Retail Market Segmented by Region/Country: North America, Europe, Asia Pacific, Middle East & Africa, and Central & South America

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