Global Image Recognition in Retail Market Trends, Growth, Size, Report & Forecast to 2020-2026

The global market for image recognition in retail is projected to have considerable CAGR during the forecast period. The growing integration of AI technology in image recognition further provide significant growth opportunity to the market growth. Several companies in retail sector including e-commerce are rapidly implementing image recognition. E-commerce has increasingly become popular over the years as people find it convenient to shop from their homes or office. Factors such as saving time, free home delivery, better price, and vast variety of product offerings is gradually shifting the population’s preference towards e-commerce. However, internet shopping is associated with higher risk by consumers due to intrinsic characteristics associated with virtual stores where there is no human contact and consumers cannot physically check the quality of a product or monitor the safety and security of sending sensitive, personal, and financial information while shopping on the internet.

Get Free Sample Copy @ https://www.omrglobal.com/request-sample/image-recognition-in-retail-market

The retail sector is also among the significant shareholding segments in the e-commerce including search and advertising. Image recognition is utilized in mobile applications for the identification of particular products. Also, it presents a more interactive view by making everything they see searchable. For instance, technology by CamFind API by Image Searcher Inc. that enables an advanced level of mobile commerce. CamFind assists in identification of objects such as watches, shoes, bags, and sunglasses among others and returns purchasing options to the user. Future buyers can compare products lives without visiting any other websites. Developers utilizes this image recognition API to create their own mobile commerce applications. Likewise, ViSenze also solves real-world search problems using deep learning and image recognition. Products made by ViSenze are used by online shoppers, internet retailers, and media owners for the use of product recommendation and Ad targeting.

A Full Report of Global Image Recognition in Retail Market is Available at: https://www.omrglobal.com/industry-reports/image-recognition-in-retail-market

AI in image recognition in the retail sector provides tailored, data-driven digital merchandising solutions that eliminate retail audit costs, drive sales, boost profitability and build customer loyalty. Rapid advancements in machine learning and AI along with use of high bandwidth data services is fostering the growth of the technology. The important aspects of AI used by online retail stores include data mining, natural language processing (NLP), and machine learning. AI in image recognition has transformed the way of shopping.

Market Segmentation

Global Image Recognition in Retail Market by Deployment Type

On-Premises
Cloud-Based

Global Image Recognition in Retail Market by Application

Vision Analytics
Marketing and Advertising
Visual Product Search
Others( Security and Surveillance)

Company Profiles

Amazon Web Services, Inc.
Blippar Ltd
Catchoom Technologies, S.L.
Clarifai, Inc.
Deepomatic
Google LLC
IBM Corp.

For More Customized Data, Request for Report Customization @ https://www.omrglobal.com/report-customization/image-recognition-in-retail-market

Media Contact:
Company Name: Orion Market Research
Contact Person: Mr. Anurag Tiwari
Email: info@omrglobal.com
Contact no: +91 780-304-0404

About Orion Market Research
Orion Market Research (OMR) is a market research and consulting company known for its crisp and concise reports. The company is equipped with an experienced team of analysts and consultants. OMR offers quality syndicated research reports, customized research reports, consulting and other research-based services.

This release was published on openPR.