Image Recognition in Retail Market Current Trends and Future Aspect Analysis Report 2022–2030

submitted 8 months ago by Darshit_Anand to test

The Image Recognition In Retail Market Report provides statistical information about the global industry. The study has been done with respect to market share, size, trends, growth, outlook, estimation and forecast period 2023-2030. The report also highlights the major key players focusing on their latest development.

This section of the image recognition in retail market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

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By Technology

  • Code Recognition
  • Digital Image Processing
  • Facial Recognition
  • Object Recognition
  • Others

By Component

  • Software
  • Services

By Application

  • Visual Product Search
  • Security and Surveillance
  • Vision Analytics
  • Marketing and Advertising
  • Others

By Deployment Type

  • On-Premises
  • Cloud

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The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the image recognition in retail market include Qualcomm Technologies, Inc., NEC Corporation, Catchoom Technologies S.L., Hitachi, Ltd., Wikitude GmbH, Attrasoft, Inc., Trax Retail, Snap2Insight Inc., AWS, and IBM. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

This section covers the regional outlook, which accentuates current and future demand for the Image Recognition in Retail market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

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