DUBLIN–(BUSINESS WIRE)–The “Global Image Recognition in Retail Market (2021-2026), by Technology, Component, Application, Deployment, Geography and the Impact of COVID-19 with Ansoff Analysis, Infogence Competitive Quadrant” report has been added to ResearchAndMarkets.com’s offering.
The Global Image Recognition in Retail Market is estimated to be USD 1.8 Bn in 2021 and is expected to reach USD 4.5 Bn by 2026, growing at a CAGR of 20%.
Image Recognition means identifying a specific image and placing it in a predetermined category. It uses computer algorithms for digital image processing and thus helps in processing videos and removing blur images. The technology further allows images to convert into two or more defined dimensions, which categorize the digital image processing as multidimensional systems. Image recognition in retail includes the technologies which help to enhance the in-store experiences of customers. The use of high bandwidth data services in the retail and BFSI sector can be attributed to the growth of the image recognition market. Android devices with cameras are attracting vendors to invest in the market. Increasing demand for security in products and applications is also influencing the growth of the image recognition market.
Large enterprises in different sectors, such as retail, automotive, healthcare, and defense, are increasingly adopting image recognition technology. Several other fields, such as self-driving vehicles, automated image organization of visual websites, and face identification on social networking websites, are using the Image recognition technology powered by machine learning. Government agencies such as law enforcement agencies are also using facial recognition technology for their safety and security purposes. Airports are also using face remembrance technology at security checkpoints for security purposes. Recent advancements in artificial intelligence and machine learning have highly contributed to the growth of Image Recognition and Object Detection in retail.
Certain factors may create hindrances in the growth of image recognition in the retail market, such as the high cost involved in making the image recognition systems, lack of technical skills, etc. Thus, companies who lack resources are unable to adopt this technology even if they are interested in image recognition. On the other hand, a huge number of social media applications are available on the internet, and a good amount of the population is daily uploading a billion images per day on social media platforms such as Facebook, WhatsApp, Snapchat, Instagram, etc. which helps in increasing the adoption of image recognition and will drive the growth of the Global Image Recognition in Retail Market.
Competitive Quadrant
The report includes a Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance Score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.
Why buy this report?
The report offers a comprehensive evaluation of Global Image Recognition in Retail Market.
The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
The report includes in-depth market analysis using Porter’s 5 force model and the Ansoff Matrix. The impact of Covid-19 on the market is also featured in the report.
Market Dynamics
Drivers
Need to Increase On-Shelf Availability, Enhance Customer Experience, and Maximize ROI
Increasing the Use of Image Recognition Applications
Increasing Use of High Bandwidth Data Services
Increasing Demand for Security Applications and Products Enabled with Image Recognition Functions
Restraints
High Risk Related to Customer Data Thefts
High Cost of Installation of Image Recognition Systems
Opportunities
Growing Adoption of Cloud-Based Image Recognition Solutions
Rising Demand for Brand Recognition Among End Users
Increasing Demand for Big Data Analytics
Companies Mentioned
Amazon
Google LLC
IBM Corporation
Microsoft Corporation
TRAX Retail
Qualcomm Technologies, Inc.
NEC Corporation
LTU Technologies
Catchoom Technologies S.L.
Honeywell International Inc.
Hitachi, Ltd.
Slyce Inc.
Wikitude GmbH
Attrasoft, Inc.
Planorama
Ricoh Innovations Corporation
Pattern Recognition Company GMBH
Intelligent Retail
Snap2Insight Inc.
Blippar
For more information about this report visit https://www.researchandmarkets.com/r/pt78q4