Market Forecast By Technology (Code Recognition, Digital Image Processing, Facial Recognition, Object Recognition, Others), By Application (Visual Product Search, Security and Surveillance, Vision Analytics, Marketing and Advertising, Others), By Component (Software, Services), By Deployment Type (On-Premises, Cloud), By Application (Visual Product Search, Security and Surveillance, Vision Analytics, Marketing and Advertising, Others) And Competitive Landscape
Product Code: ETC4408824 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 26 | |
Report Name | South Korea Image Recognition in Retail Market |
Forecast period | 2025-2031 |
CAGR | 10.6% |
Growing Sector | Retail |
The South Korea Image Recognition in Retail Market report thoroughly covers the market by Technology, By Application, By Component and By Deployment Type. The market report provides an unbiased and detailed analysis of the ongoing market trends, opportunities/high growth areas and market drivers which would help the stakeholders to devise and align their market strategies according to the current and future market dynamics.
The South Korea Image Recognition in the Retail Market is dynamic and evolving. It is projected to attain significant growth in the coming years driven by the increasing adoption of image recognition technologies in various sectors of retail, including security and surveillance, visual product search, and marketing and advertising. The market is also going through certain challenges that can hamper its growth to a certain extent in the near future.
According to 6Wresearch, South Korea Image Recognition in Retail Market size is expected to grow at a significant CAGR of 10.6% during the forecast period 2025-2031. This growth is propelled by the increasing adoption of image recognition technology in various retail industries such as supermarkets, department stores, convenience stores, and online retail platforms. Image recognition technology enables quick and efficient product search, enhanced security, and data-driven marketing strategies, driving innovation and efficiency in retail operations.
Continuous advancements in image recognition technologies, including improvements in object recognition, digital image processing and facial recognition are driving adoption across various retail businesses in South Korea. However, despite the benefits of Image Recognition in Retail solutions, there are some challenges in the market. One of the main challenges is the high initial investment required for setting up image recognition technology infrastructure and equipment. This can be a barrier for small and medium-sized businesses looking to adopt this technology. Another challenge is the limited availability of skilled professionals who are proficient in using image recognition software and handling complex machinery. These challenges highlight the complexity and dynamic nature of the Image Recognition in Retail Landscape in South Korea, necessitating proactive strategies to overcome them.
Some of the key players operating in the South Korea Image Recognition in Retail Market include NEC Corporation, Honeywell International Inc., Hitachi Ltd., Catchoom Technologies S.L.U., Google LLC, and Intel Corporation. These players are implementing various strategies such as partnerships, collaborations, and product launches to gain a competitive edge in the market. Currently, NEC Corporation holds the largest share in the market.
The Government of South Korea has been actively promoting the use of advanced technologies, such as image recognition, to drive efficiency and innovation in retail operations. The Ministry of Trade, Industry and Energy has identified the retail industry as a key sector for technological advancements and has launched initiatives to support the adoption of new technologies by businesses. Additionally, the government is also focusing on enhancing data privacy laws to ensure secure deployment and usage of image recognition technology in retail.
The South Korea Image Recognition in Retail Market is expected to witness significant growth in the forecast period. Advancements in technology, increasing adoption of image recognition solutions by retailers and favourable government initiatives are the key factors driving this growth. With continuous advancements and innovations in image recognition technology, it is expected to be widely adopted across various retail sectors, further fueling market growth. The future of the Market seems promising since a number of factors have been supporting the market growth.
According to Dhaval, Research Manager, 6Wresearch, digital image processing is expected to hold the dominating share in the South Korea Image Recognition in Retail Market during the forecast period. This can be attributed to its wide range of applications, including visual product search, security and surveillance, and marketing and advertising.
The cloud-based deployment segment is expected to witness significant growth in the South Korea Image Recognition in Retail Market due to its benefits such as cost-effectiveness, scalability, and ease of implementation.
Visual product search is expected to hold the dominant share in the South Korea Image Recognition in Retail Market during the forecast period. The rising demand for quick and efficient product search solutions by retailers, coupled with advancements in image recognition technology, is driving this segment's growth.
The software segment is expected to hold the dominant share in the South Korea Image Recognition in Retail Market during the forecast period. The increasing adoption of image recognition technology and its integration with various retail operations, such as product search, security, and marketing, is driving the demand for image recognition software.
The report offers a comprehensive study of the subsequent market segments:
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 South Korea Image Recognition in Retail Market Overview |
3.1 South Korea Country Macro Economic Indicators |
3.2 South Korea Image Recognition in Retail Market Revenues & Volume, 2021 & 2031F |
3.3 South Korea Image Recognition in Retail Market - Industry Life Cycle |
3.4 South Korea Image Recognition in Retail Market - Porter's Five Forces |
3.5 South Korea Image Recognition in Retail Market Revenues & Volume Share, By Technology , 2021 & 2031F |
3.6 South Korea Image Recognition in Retail Market Revenues & Volume Share, By Application , 2021 & 2031F |
3.7 South Korea Image Recognition in Retail Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.8 South Korea Image Recognition in Retail Market Revenues & Volume Share, By Deployment Type, 2021 & 2031F |
3.9 South Korea Image Recognition in Retail Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 South Korea Image Recognition in Retail Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Growing demand for personalized shopping experiences |
4.2.2 Increasing adoption of artificial intelligence and machine learning technologies in retail |
4.2.3 Rising need for enhancing customer engagement and loyalty in the retail sector |
4.3 Market Restraints |
4.3.1 Data privacy and security concerns related to image recognition technology |
4.3.2 High initial investment and implementation costs |
4.3.3 Limited technical expertise and skilled workforce for deploying image recognition solutions in retail |
5 South Korea Image Recognition in Retail Market Trends |
6 South Korea Image Recognition in Retail Market, By Types |
6.1 South Korea Image Recognition in Retail Market, By Technology |
6.1.1 Overview and Analysis |
6.1.2 South Korea Image Recognition in Retail Market Revenues & Volume, By Technology , 2021-2031F |
6.1.3 South Korea Image Recognition in Retail Market Revenues & Volume, By Code Recognition, 2021-2031F |
6.1.4 South Korea Image Recognition in Retail Market Revenues & Volume, By Digital Image Processing, 2021-2031F |
6.1.5 South Korea Image Recognition in Retail Market Revenues & Volume, By Facial Recognition, 2021-2031F |
6.1.6 South Korea Image Recognition in Retail Market Revenues & Volume, By Object Recognition, 2021-2031F |
6.1.7 South Korea Image Recognition in Retail Market Revenues & Volume, By Others, 2021-2031F |
6.2 South Korea Image Recognition in Retail Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 South Korea Image Recognition in Retail Market Revenues & Volume, By Visual Product Search, 2021-2031F |
6.2.3 South Korea Image Recognition in Retail Market Revenues & Volume, By Security and Surveillance, 2021-2031F |
6.2.4 South Korea Image Recognition in Retail Market Revenues & Volume, By Vision Analytics, 2021-2031F |
6.2.5 South Korea Image Recognition in Retail Market Revenues & Volume, By Marketing and Advertising, 2021-2031F |
6.2.6 South Korea Image Recognition in Retail Market Revenues & Volume, By Others, 2021-2031F |
6.3 South Korea Image Recognition in Retail Market, By Component |
6.3.1 Overview and Analysis |
6.3.2 South Korea Image Recognition in Retail Market Revenues & Volume, By Software, 2021-2031F |
6.3.3 South Korea Image Recognition in Retail Market Revenues & Volume, By Services, 2021-2031F |
6.4 South Korea Image Recognition in Retail Market, By Deployment Type |
6.4.1 Overview and Analysis |
6.4.2 South Korea Image Recognition in Retail Market Revenues & Volume, By On-Premises, 2021-2031F |
6.4.3 South Korea Image Recognition in Retail Market Revenues & Volume, By Cloud, 2021-2031F |
6.5 South Korea Image Recognition in Retail Market, By Application |
6.5.1 Overview and Analysis |
6.5.2 South Korea Image Recognition in Retail Market Revenues & Volume, By Visual Product Search, 2021-2031F |
6.5.3 South Korea Image Recognition in Retail Market Revenues & Volume, By Security and Surveillance, 2021-2031F |
6.5.4 South Korea Image Recognition in Retail Market Revenues & Volume, By Vision Analytics, 2021-2031F |
6.5.5 South Korea Image Recognition in Retail Market Revenues & Volume, By Marketing and Advertising, 2021-2031F |
6.5.6 South Korea Image Recognition in Retail Market Revenues & Volume, By Others, 2021-2031F |
7 South Korea Image Recognition in Retail Market Import-Export Trade Statistics |
7.1 South Korea Image Recognition in Retail Market Export to Major Countries |
7.2 South Korea Image Recognition in Retail Market Imports from Major Countries |
8 South Korea Image Recognition in Retail Market Key Performance Indicators |
8.1 Accuracy rate of image recognition technology in retail settings |
8.2 Average time taken for image processing and analysis |
8.3 Rate of successful implementation and integration of image recognition solutions in retail operations |
9 South Korea Image Recognition in Retail Market - Opportunity Assessment |
9.1 South Korea Image Recognition in Retail Market Opportunity Assessment, By Technology , 2021 & 2031F |
9.2 South Korea Image Recognition in Retail Market Opportunity Assessment, By Application , 2021 & 2031F |
9.3 South Korea Image Recognition in Retail Market Opportunity Assessment, By Component , 2021 & 2031F |
9.4 South Korea Image Recognition in Retail Market Opportunity Assessment, By Deployment Type, 2021 & 2031F |
9.5 South Korea Image Recognition in Retail Market Opportunity Assessment, By Application, 2021 & 2031F |
10 South Korea Image Recognition in Retail Market - Competitive Landscape |
10.1 South Korea Image Recognition in Retail Market Revenue Share, By Companies, 2024 |
10.2 South Korea Image Recognition in Retail Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |