Product Code: ETC4408829 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 | |
Image recognition technology has gained traction in the retail sector in Indonesia. It is being used for various applications such as visual search, inventory management, and customer engagement. This technology is reshaping the retail landscape, making it more efficient and customer-centric.
In the Indonesia Image Recognition in Retail market, the primary driver is the need for personalized shopping experiences and improved inventory management. Retailers are adopting image recognition technology to provide customers with personalized recommendations and streamline inventory control. This technology enhances the shopping experience and helps retailers manage their stock effectively.
In the Indonesian retail sector, implementing image recognition technology faces challenges such as high upfront costs for acquiring and implementing the necessary hardware and software. Additionally, there may be issues with accuracy in recognizing products, especially in diverse and complex retail environments. Privacy concerns and compliance with data protection regulations are also significant challenges in using image recognition in retail.
The retail industry in Indonesia experienced a rapid shift towards online and contactless shopping during the pandemic. Image recognition technology played a pivotal role in enhancing the online shopping experience. Retailers leveraged this technology for visual search, product recommendations, and inventory management. The adoption of image recognition in retail became essential for delivering personalized and seamless shopping experiences to customers.
In the Indonesian retail sector, companies like Alibaba Cloud, Sensetime, and Trax are notable players in providing image recognition solutions for retail applications, including inventory management and customer analytics.
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 Indonesia Image Recognition in Retail Market Overview |
3.1 Indonesia Country Macro Economic Indicators |
3.2 Indonesia Image Recognition in Retail Market Revenues & Volume, 2021 & 2031F |
3.3 Indonesia Image Recognition in Retail Market - Industry Life Cycle |
3.4 Indonesia Image Recognition in Retail Market - Porter's Five Forces |
3.5 Indonesia Image Recognition in Retail Market Revenues & Volume Share, By Technology , 2021 & 2031F |
3.6 Indonesia Image Recognition in Retail Market Revenues & Volume Share, By Application , 2021 & 2031F |
3.7 Indonesia Image Recognition in Retail Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.8 Indonesia Image Recognition in Retail Market Revenues & Volume Share, By Deployment Type, 2021 & 2031F |
3.9 Indonesia Image Recognition in Retail Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Indonesia Image Recognition in Retail Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for personalized shopping experiences |
4.2.2 Growth of e-commerce and online retail in Indonesia |
4.2.3 Rising adoption of AI and machine learning technologies in the retail sector |
4.3 Market Restraints |
4.3.1 High initial investment costs for implementing image recognition technology |
4.3.2 Data privacy and security concerns among consumers |
4.3.3 Limited technical expertise and resources for integration and maintenance of image recognition systems in retail |
5 Indonesia Image Recognition in Retail Market Trends |
6 Indonesia Image Recognition in Retail Market, By Types |
6.1 Indonesia Image Recognition in Retail Market, By Technology |
6.1.1 Overview and Analysis |
6.1.2 Indonesia Image Recognition in Retail Market Revenues & Volume, By Technology , 2021-2031F |
6.1.3 Indonesia Image Recognition in Retail Market Revenues & Volume, By Code Recognition, 2021-2031F |
6.1.4 Indonesia Image Recognition in Retail Market Revenues & Volume, By Digital Image Processing, 2021-2031F |
6.1.5 Indonesia Image Recognition in Retail Market Revenues & Volume, By Facial Recognition, 2021-2031F |
6.1.6 Indonesia Image Recognition in Retail Market Revenues & Volume, By Object Recognition, 2021-2031F |
6.1.7 Indonesia Image Recognition in Retail Market Revenues & Volume, By Others, 2021-2031F |
6.2 Indonesia Image Recognition in Retail Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Indonesia Image Recognition in Retail Market Revenues & Volume, By Visual Product Search, 2021-2031F |
6.2.3 Indonesia Image Recognition in Retail Market Revenues & Volume, By Security and Surveillance, 2021-2031F |
6.2.4 Indonesia Image Recognition in Retail Market Revenues & Volume, By Vision Analytics, 2021-2031F |
6.2.5 Indonesia Image Recognition in Retail Market Revenues & Volume, By Marketing and Advertising, 2021-2031F |
6.2.6 Indonesia Image Recognition in Retail Market Revenues & Volume, By Others, 2021-2031F |
6.3 Indonesia Image Recognition in Retail Market, By Component |
6.3.1 Overview and Analysis |
6.3.2 Indonesia Image Recognition in Retail Market Revenues & Volume, By Software, 2021-2031F |
6.3.3 Indonesia Image Recognition in Retail Market Revenues & Volume, By Services, 2021-2031F |
6.4 Indonesia Image Recognition in Retail Market, By Deployment Type |
6.4.1 Overview and Analysis |
6.4.2 Indonesia Image Recognition in Retail Market Revenues & Volume, By On-Premises, 2021-2031F |
6.4.3 Indonesia Image Recognition in Retail Market Revenues & Volume, By Cloud, 2021-2031F |
6.5 Indonesia Image Recognition in Retail Market, By Application |
6.5.1 Overview and Analysis |
6.5.2 Indonesia Image Recognition in Retail Market Revenues & Volume, By Visual Product Search, 2021-2031F |
6.5.3 Indonesia Image Recognition in Retail Market Revenues & Volume, By Security and Surveillance, 2021-2031F |
6.5.4 Indonesia Image Recognition in Retail Market Revenues & Volume, By Vision Analytics, 2021-2031F |
6.5.5 Indonesia Image Recognition in Retail Market Revenues & Volume, By Marketing and Advertising, 2021-2031F |
6.5.6 Indonesia Image Recognition in Retail Market Revenues & Volume, By Others, 2021-2031F |
7 Indonesia Image Recognition in Retail Market Import-Export Trade Statistics |
7.1 Indonesia Image Recognition in Retail Market Export to Major Countries |
7.2 Indonesia Image Recognition in Retail Market Imports from Major Countries |
8 Indonesia Image Recognition in Retail Market Key Performance Indicators |
8.1 Customer engagement metrics (e.g., click-through rates, time spent on website) |
8.2 Accuracy and speed of image recognition technology |
8.3 Reduction in manual labor and operational costs through automation |
8.4 Integration of image recognition technology across various touchpoints in the retail customer journey |
8.5 Improvement in inventory management and product recommendations based on image recognition data |
9 Indonesia Image Recognition in Retail Market - Opportunity Assessment |
9.1 Indonesia Image Recognition in Retail Market Opportunity Assessment, By Technology , 2021 & 2031F |
9.2 Indonesia Image Recognition in Retail Market Opportunity Assessment, By Application , 2021 & 2031F |
9.3 Indonesia Image Recognition in Retail Market Opportunity Assessment, By Component , 2021 & 2031F |
9.4 Indonesia Image Recognition in Retail Market Opportunity Assessment, By Deployment Type, 2021 & 2031F |
9.5 Indonesia Image Recognition in Retail Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Indonesia Image Recognition in Retail Market - Competitive Landscape |
10.1 Indonesia Image Recognition in Retail Market Revenue Share, By Companies, 2024 |
10.2 Indonesia Image Recognition in Retail Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |