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Image Recognition in Retail Market, By Technology, Component, Deployment, Application, Region - Global Forecast to 2028

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    Report

  • 220 Pages
  • November 2022
  • Region: Global
  • MarketDigits
  • ID: 5701858
The report deals with all the driving factors, opportunities and challenges with respect to the global Image Recognition in Retail Market, which are helpful in identifying trends and key success factors for the industry. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long term landscapes. The report also includes qualitative analysis on the market, by incorporating complete analysis of industry value chain, funding and investments, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report profiles all major companies active in this field. This report provides the competitive landscape of the key players, which covers all key growth strategies. Moreover, the report formulates the entire value chain of the market, along with industry trends of sports analytics with emphasis on market timelines & technology roadmaps, market and product life cycle analysis.

Major players in Image Recognition in Retail Market Include are: Amazon Web Services, Inc., Catchoom, IBM Corporation, Intelligence Retail, LTUTech, Microsoft, NEC Corporation, Qualcomm Technologies, Inc., Slyce Inc., TRAX IMAGE RECOGNITION & Others.

The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the market revenues to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study.

Image Recognition in Retail Market Scope and Market Size

The key deliverables of this report are market statistics with detailed classifications and splits by revenue. Image Recognition in Retail Market revenues are segmented Product & Technology’s, delivery mode, end user and region. Players, stakeholders, and other participants in the global Image Recognition in Retail Market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by Devices in terms of revenue and forecast for the period 2016-2028.Detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and company rankings.

Report further studies the market development status and future and Image Recognition in Retail Market trend across the world. Also, it splits Image Recognition in Retail Market segmentation Product & Technology’s, delivery mode, end user and region to deep dive research and reveals market profile and prospects.

Major Classifications are as follows:

By Technology

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

By Component

  • Software
  • Services
  • Others

By Deployment Type

  • On-Premises
  • Cloud
  • Others

By Application

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

By Region

  • North America
  • US
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Rest of Europe
  • Asia-Pacific (APAC)
  • China
  • Japan
  • India
  • Rest of APAC
  • Rest of the World (RoW)
  • Middle East
  • Africa
  • South America

Reason to purchase this Image Recognition in Retail Market Report:

  • Determine prospective investment areas based on a detailed trend analysis of the global Image Recognition in Retail Market over the next years.
  • Gain an in-depth understanding of the underlying factors driving demand for different and Image Recognition in Retail Market segments in the top spending countries across the world and identify the opportunities offered by each of them.
  • Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
  • Identify the major channels that are driving the global Image Recognition in Retail Market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
  • Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global Image Recognition in Retail Market.
  • Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top Image Recognition in Retail Market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.


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Companies Mentioned

  • Amazon Web Services Inc.
  • Catchoom
  • IBM Corporation
  • Intelligence Retail
  • LTUTech
  • Microsoft
  • NEC Corporation
  • Qualcomm Technologies Inc.
  • Slyce Inc.
  • TRAX IMAGE RECOGNITION .