Global Image Recognition in Retail Market is valued approximately at USD 1.14 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 21.80% over the forecast period 2020-2027. Image recognition is the process of analyzing an input image and predicting its category. The implementation of Image recognition in the retail stores improves in store execution and brand visibility and benefits the retail stores by increasing sales growth, increasing market share of the brand and improve customer engagement with the brand. Thus, the growing market competition across the globe has led to the adoption of different strategies to increase sales which includes image recognition. As in March 2020, Trax company Singapore acquired survey.com. The acquisition combined the technologies of both the companies providing to the requirement of the emerging CPG market and grocery retailers. Also, in August 2019, AWS upgraded the Amazon Rekognition to deliver higher accuracy of gender identification and emotion detection. Thus, aiding the market growth. Further, the need to increase shelf availability, enhance customer experience and maximize Return on Investment drives the market growth. As the use of Image recognition in the store aids in eliminating errors in audits and finding out of stock products which increases availability of the products. However, high risk of customer data thefts impedes the growth of the market over the forecast period of 2020-2027. Although, growing adoption of cloud-based image recognition solutions present a lucrative opportunity for the market.

The regional analysis of global Image Recognition in Retail market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the progressive nature of retail stores in the region owing to the adoption of AI, ML and cloud services. Whereas Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2020-2027. Factors such as rising disposable income, rising population would create lucrative growth prospects for the Image Recognition in Retail market across Asia-Pacific region.



Major market player included in this report are:
IBM Corporation
Amazon Web Services (AWS)
Google
Microsoft Corporation
Trax Retail
Honeywell International
Hitachi
LTU Technologies
NEC Corporation
Qualcomm Incorporated
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Technology:
Code Recognition
Digital Image Processing
Facial Recognition
Object Recognition
Others
By Component:
Software
Services

By Application:
Visual Product Search
Security Surveillance
Vision Analytics
Marketing and Advertising
Others
By Deployment Type:
On-Premises
Cloud

By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year - 2017, 2018
Base year - 2019
Forecast period - 2020 to 2027

Target Audience of the Global Image Recognition in Retail Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors