The Image Recognition In Retail Market report provides a detailed analysis of the industry by market size in terms of revenue, market share and growth opportunities. It also covers the latest trends and drivers and studies the segments with respect to the different regions and countries. Furthermore, it also highlight on the recent development, product overview, and financial details of leading companies. This information can help stakeholders make the right decision before investing.

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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