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NAVER vs Kakao: Who Wins the AI Platform War?

As competition between HyperCLOVA X and Kanana AI intensifies, the strategic differences between Korea's big tech firms become increasingly stark.

🤖 AI Analysis2026年2月2日 23:00

Korea's AI Competition Heats Up

The Korean AI market in 2026 is seeing full-scale competition centered on NAVER and Kakao. Both companies possess their own large language models (LLMs) but differ significantly in strategic approach.

NAVER: Technology-First Strategy

NAVER is aggressively targeting the B2B market based on HyperCLOVA X.

Search AI: Introducing AI-powered answer systems to NAVER Search, transitioning advertising models
CLOVA Studio: Enterprise AI API platform expanding into finance, healthcare, and manufacturing
LINE: Expanding AI chatbot services in the Japanese market
Commerce AI: Launching AI marketing tools for SmartStore sellers

NAVER's strength lies in its rich Korean language data and search traffic. AI-related revenue in 2025 is estimated to have grown 180% YoY.

Kakao: Ecosystem Integration Strategy

Kakao has adopted a strategy of integrating Kanana AI into the KakaoTalk ecosystem.

KakaoTalk AI: Embedding conversational AI assistant into KakaoTalk
KakaoBank AI: AI-based wealth management and loan screening services
Kakao Mobility: Pilot autonomous taxi operations using AI
Kakao Entertainment: AI-powered content creation tools

Kakao's strength is its 50 million KakaoTalk user base, enabling rapid AI service proliferation.

Investment Analysis

FactorNAVERKakao

|--------|-------|-------|

AI Technology★★★★★★★★☆☆
User Touchpoints★★★★☆★★★★★
Monetization Stage★★★★☆★★★☆☆
ValuationFairUndervalued
AI Revenue Growth180% YoY120% YoY

NAVER: Leading in AI technology and monetization, direct beneficiary of B2B AI market expansion. Hold recommendation at current valuation.

Kakao: Early stage of AI service adoption but significant user base potential. Currently significantly undervalued, presenting mid-to-long-term buying opportunity.

💡Methodology

This analysis is auto-generated by AI combining investment bank reports, earnings data, market data, and news sentiment. Not investment advice.