Research Nester assesses the growth and market size of global image recognition in retail market which is anticipated to be on account of the surge in adoption of cloud in retail.
Research Nester’s recent market research analysis on “Image Recognition in Retail Market: Global Demand Analysis & Opportunity Outlook 2035” delivers a detailed competitors analysis and a detailed overview of the global recognition in retail market in terms of market segmentation by type, component, deployment, application, and by region.

Rising Focus on Customer Satisfaction to Boost the Global Image Recognition in Retail Market
The market for image recognition in retail is estimated to grow on account of rising focus on customer satisfaction. The primary method to attract customers is by providing them the convenience and ease to use. Hence, this is being achieved with the use of image recognition in retail. Image recognition improves consumer experience while also providing effective security to the customer. Image recognition in the retail industry improves both merchant operations and the in-store customer experience. Moreover, retailers may swiftly recognize products in an image and give customers pertinent information by utilizing image recognition. This is especially helpful for online shopping, as buyers may quickly search for things by entering in a keyword or phrase.
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Additionally, there is an increasing level of concern about bogus logos and designs, which is fueling demand for image recognition. Image recognition technology simply enables e-Commerce companies to identify goods with fake logos and designs attempting to pass themselves off as real brands by recognizing discrepancies between photographs and information. The technology marks a fake as such and removes the merchants' goods from the market.

Some of the major growth factors and challenges that are associated with the growth of the global image recognition in retail market are:
Growth Drivers:
• Surge in Establishment in Retail Stores
• Surge in Adoption of Smartphones

Challenges:
Image recognition in the retail industry is more difficult to use given some technical problems. It's tougher to make a computer to recognize an object. It is more difficult to get a computer to recognize an object that is partially obscured. This is a persistent issue in a setting where people and things frequently move around one another and the cameras, personnel frequently replace items on the shelves and partially obscure them with their bodies, such. Another major problem is viewpoint variation. The camera is unable to recognize the product from different angles. Hence, this factor is estimated to hinder the growth of the market.
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By deployment, the market for image recognition in retail is segmented into on-premises, and cloud. Amongst these segments, the cloud segment is expected to garner the largest revenue by the end of 2035. Cloud offers vendor huge space to reach large number of customers and expand their business. The deployment of hardware for image recognition comes with huge price which makes and hence not every retailer could afford that. Therefore, the adoption of cloud based image recognition is growing among them since it is cost-effective. It also reduces the cost which have been required to maintain the server. Hence, owing to this the segment growth is anticipated to be influenced.
By region, the European region is poised to grow by the end of 2035. This growth could be attributed to working on brand recognition among end-user. In Europe, the retail sector is important for the growth of the economy. Hence, there has been growing technology development made in this business. Moreover, the retail business in this region is estimated to boost owing to the growing e-commerce. Hence, customer satisfaction has become necessary in order to retain them since the options have also been increased. Owing to the adoption of image recognition the retail business in this region would be able to provide ease and security to the customer, hence further sustaining the competition.
This report also provides the existing competitive scenario of some of the key players of the global image recognition in retail market which includes company profiling of Amazon.com, Inc., Attrasoft, Inc., Blippar, Google LLC, Hitachi, Ltd., Honeywell International Inc., Huawei Technologies Co., Ltd., IBM Corp., Intelligent Retail, LTU Technologies, and others.
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