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South Korea AI in E-Commerce Personalization Market

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    Report

  • 93 Pages
  • September 2025
  • Region: South Korea
  • Ken Research Private Limited
  • ID: 6212060

South Korea AI in E-Commerce Personalization Market valued at USD 1.1 Bn, driven by AI adoption in retail and personalized recommendations, projected to grow with e-commerce expansion.

The South Korea AI in E-Commerce Personalization Market is valued at USD 1.1 billion, based on a five-year historical analysis. This growth is primarily driven by the increasing adoption of AI technologies in retail, which enhance customer experiences through personalized recommendations, dynamic content, and targeted marketing strategies. The rapid expansion of e-commerce, fueled by advanced digital infrastructure, super-app ecosystems, and aggressive same-day logistics, is accelerating the uptake of AI-powered personalization solutions in the market.

Seoul, as the capital and largest city, dominates the market due to its advanced technological infrastructure, high internet penetration, and concentration of tech companies and startups. Other significant cities such as Busan and Incheon are also experiencing rapid growth in e-commerce activities, driven by smart logistics hubs and digital innovation. The clustering of technology firms in these urban centers fosters a competitive environment that accelerates the adoption of AI solutions in e-commerce personalization.

In 2023, the South Korean government introduced the “Guidelines for the Ethical Use of Artificial Intelligence,” issued by the Ministry of Science and ICT. These guidelines establish operational standards for data privacy, algorithmic transparency, and consumer protection in AI applications, including e-commerce. Compliance requires companies to implement robust data management practices, ensure explainability of AI-driven recommendations, and provide mechanisms for consumer redress, thereby fostering trust and responsible AI adoption in the retail sector.

South Korea AI in E-Commerce Personalization Market Segmentation

By Type:

The market is segmented into various types of AI solutions that enhance personalization in e-commerce. The leading sub-segment is Recommendation Engines, which utilize algorithms to analyze consumer behavior and suggest products accordingly. Customer Segmentation Tools follow closely, allowing businesses to tailor marketing strategies based on demographic and behavioral data. Other notable segments include Personalization Platforms, Predictive Analytics Solutions, Chatbots and Virtual Assistants, Dynamic Pricing Tools, Visual Search and Image Recognition Solutions, Sentiment Analysis Tools, and Others.

By End-User:

The end-user segmentation includes various industries that leverage AI for personalization in e-commerce. The Fashion and Apparel sector leads the market, driven by the need for personalized shopping experiences and high consumer engagement. Electronics and Gadgets follow, as consumers seek tailored recommendations for tech products. Other significant segments include Home Goods and Furniture, Beauty and Personal Care, Food and Beverage, Travel and Hospitality, Financial Services and Fintech, and Others.

South Korea AI in E-Commerce Personalization Market Competitive Landscape

The South Korea AI in E-Commerce Personalization Market is characterized by a dynamic mix of regional and international players. Leading participants such as Samsung SDS, LG CNS, Naver Corporation, Kakao Corp, Coupang, SK Telecom, Daumsoft, TMON (Ticket Monster), GS Retail, 11st (11??), Interpark, Wemakeprice, SSG.COM, Market Kurly, Cafe24, NHN Commerce, Brandi, StyleShare, Musinsa, Zigzag contribute to innovation, geographic expansion, and service delivery in this space.

South Korea AI in E-Commerce Personalization Market Industry Analysis

Growth Drivers

Increasing Consumer Demand for Personalized Shopping Experiences:

The South Korean e-commerce sector is witnessing a surge in consumer demand for personalized shopping experiences, with 70% of consumers expressing a preference for tailored recommendations. This trend is supported by the country's high internet penetration rate of 96%, which facilitates access to AI-driven personalization tools. As consumers increasingly seek unique shopping experiences, e-commerce platforms are investing in AI technologies to enhance customer engagement and satisfaction, driving market growth.

Advancements in AI Technology and Machine Learning:

The rapid advancements in AI technology and machine learning are pivotal for the South Korean e-commerce personalization market. In future, the AI market in South Korea is projected to reach $3.8 billion, reflecting a robust investment in AI capabilities. These technologies enable e-commerce platforms to analyze vast amounts of consumer data, leading to improved product recommendations and enhanced user experiences, thereby fostering growth in the sector.

Rising Competition Among E-Commerce Platforms:

The competitive landscape in South Korea's e-commerce market is intensifying, with major players like Coupang and Gmarket vying for market share. In future, the e-commerce market is expected to exceed $120 billion, prompting companies to adopt AI-driven personalization strategies to differentiate themselves. This competition drives innovation and investment in AI technologies, ultimately benefiting consumers through enhanced shopping experiences and personalized offerings.

Market Challenges

Data Privacy and Security Concerns:

Data privacy and security remain significant challenges for the South Korean AI in e-commerce personalization market. With the implementation of the Personal Information Protection Act (PIPA), companies face stringent regulations regarding consumer data usage. In future, 62% of consumers express concerns about data security, which may hinder the adoption of AI solutions. E-commerce platforms must navigate these challenges to build consumer trust and ensure compliance with regulations.

High Implementation Costs for AI Solutions:

The high costs associated with implementing AI solutions pose a challenge for many e-commerce businesses in South Korea. In future, the average investment required for AI integration is estimated at $1.2 million per company, which can be prohibitive for smaller players. This financial barrier may limit the ability of some e-commerce platforms to leverage AI technologies effectively, impacting their competitiveness in the market.

South Korea AI in E-Commerce Personalization Market Future Outlook

The future of the South Korean AI in e-commerce personalization market appears promising, driven by technological advancements and evolving consumer preferences. As AI technologies continue to mature, e-commerce platforms are expected to enhance their personalization capabilities, leading to improved customer experiences. Additionally, the integration of AI with emerging technologies such as augmented reality (AR) and virtual reality (VR) will likely create new avenues for engagement, further solidifying the role of AI in shaping the future of e-commerce in South Korea.

Market Opportunities

Expansion of AI-Driven Analytics Tools:

The demand for AI-driven analytics tools is on the rise, with the market expected to grow significantly. In future, the analytics software market in South Korea is projected to reach $1.5 billion, providing e-commerce platforms with opportunities to leverage data for personalized marketing strategies and improved customer insights.

Collaboration with Tech Startups for Innovative Solutions:

Collaborating with tech startups presents a significant opportunity for e-commerce platforms to innovate. In future, investment in AI startups in South Korea is anticipated to exceed $600 million, enabling established companies to access cutting-edge technologies and enhance their personalization strategies, ultimately driving growth in the sector.

Table of Contents

1. South Korea AI in E-Commerce Personalization Market Overview
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview
2. South Korea AI in E-Commerce Personalization Market Size (in USD Bn), 2019-2024
2.1. Historical Market Size
2.2. Year-on-Year Growth Analysis
2.3. Key Market Developments and Milestones
3. South Korea AI in E-Commerce Personalization Market Analysis
3.1. Growth Drivers
3.1.1. Increasing consumer demand for personalized shopping experiences
3.1.2. Advancements in AI technology and machine learning
3.1.3. Rising competition among e-commerce platforms
3.1.4. Growth of mobile commerce and digital payment solutions
3.2. Restraints
3.2.1. Data privacy and security concerns
3.2.2. High implementation costs for AI solutions
3.2.3. Lack of skilled workforce in AI technologies
3.2.4. Rapidly changing consumer preferences
3.3. Opportunities
3.3.1. Expansion of AI-driven analytics tools
3.3.2. Collaboration with tech startups for innovative solutions
3.3.3. Integration of AI with augmented reality (AR) and virtual reality (VR)
3.3.4. Growth in cross-border e-commerce
3.4. Trends
3.4.1. Increased use of chatbots for customer service
3.4.2. Personalization through predictive analytics
3.4.3. Adoption of voice search in e-commerce
3.4.4. Focus on sustainability and ethical AI practices
3.5. Government Regulation
3.5.1. Data protection laws and regulations
3.5.2. E-commerce taxation policies
3.5.3. AI ethics guidelines
3.5.4. Consumer protection laws
3.6. SWOT Analysis
3.7. Stakeholder Ecosystem
3.8. Competition Ecosystem
4. South Korea AI in E-Commerce Personalization Market Segmentation, 2024
4.1. By Type (in Value %)
4.1.1. Recommendation Engines
4.1.2. Customer Segmentation Tools
4.1.3. Personalization Platforms
4.1.4. Predictive Analytics Solutions
4.1.5. Others
4.2. By End-User (in Value %)
4.2.1. Fashion and Apparel
4.2.2. Electronics and Gadgets
4.2.3. Home Goods and Furniture
4.2.4. Beauty and Personal Care
4.2.5. Others
4.3. By Sales Channel (in Value %)
4.3.1. Online Marketplaces
4.3.2. Brand Websites
4.3.3. Social Media Platforms
4.3.4. Mobile Applications
4.3.5. Others
4.4. By Customer Demographics (in Value %)
4.4.1. Age Groups
4.4.2. Gender
4.4.3. Income Levels
4.4.4. Geographic Locations
4.5. By Product Category (in Value %)
4.5.1. Apparel and Accessories
4.5.2. Electronics
4.5.3. Home Appliances
4.5.4. Health and Wellness Products
4.5.5. Others
4.6. By Pricing Strategy (in Value %)
4.6.1. Premium Pricing
4.6.2. Competitive Pricing
4.6.3. Discount Pricing
4.6.4. Dynamic Pricing
4.6.5. Others
5. South Korea AI in E-Commerce Personalization Market Cross Comparison
5.1. Detailed Profiles of Major Companies
5.1.1. Samsung SDS
5.1.2. LG CNS
5.1.3. Naver Corporation
5.1.4. Kakao Corp
5.1.5. Coupang
5.2. Cross Comparison Parameters
5.2.1. Revenue
5.2.2. Market Share
5.2.3. Number of Employees
5.2.4. Headquarters Location
5.2.5. Year Established
6. South Korea AI in E-Commerce Personalization Market Regulatory Framework
6.1. Compliance Requirements and Audits
6.2. Certification Processes
7. South Korea AI in E-Commerce Personalization Market Future Size (in USD Bn), 2025-2030
7.1. Future Market Size Projections
7.2. Key Factors Driving Future Market Growth
8. South Korea AI in E-Commerce Personalization Market Future Segmentation, 2030
8.1. By Type (in Value %)
8.2. By End-User (in Value %)
8.3. By Sales Channel (in Value %)
8.4. By Customer Demographics (in Value %)
8.5. By Product Category (in Value %)
8.6. By Pricing Strategy (in Value %)

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Samsung SDS
  • LG CNS
  • Naver Corporation
  • Kakao Corp
  • Coupang
  • SK Telecom
  • Daumsoft
  • TMON (Ticket Monster)
  • GS Retail
  • 11st (11)
  • Interpark
  • Wemakeprice
  • SSG.COM
  • Market Kurly
  • Cafe24
  • NHN Commerce
  • Brandi
  • StyleShare
  • Musinsa
  • Zigzag