Naver Sets Annual Revenue Record In 2025 Driven By In-House AI

Naver reported record revenue and operating profit for 2025, with the company pointing to its in-house artificial intelligence technology as a major growth driver. The South Korean technology company said AI integration across its core services helped boost both advertising performance and user engagement.

The results highlight how Naver is leaning heavily on AI to strengthen its search ecosystem and expand into new markets.

Record Revenue And Profit

Naver said its 2025 revenue reached 12 trillion won ($8.18 billion), a 12.1 percent increase compared with the previous year. Operating profit rose 11.6 percent to 2.2081 trillion won.

Both figures represent the highest annual results since the company was founded.

The company attributed much of the revenue growth to AI integration within its services. Naver said AI accounted for 55 percent of the increase in advertising revenue during the year.

AI Briefing Strengthens Search Experience

A key contributor to the growth was Naver’s “AI Briefing” feature. The service identifies user intent and generates structured answers designed to make search results easier to understand.

Naver applied AI Briefing to its search service in March 2025. The feature aims to improve the search experience by providing summaries and follow-up suggestions.

CEO Choi Soo-yeon said user engagement metrics have been strong since the launch. The number of clicks on AI-generated follow-up questions increased sixfold compared with the early period after the feature was introduced.

User satisfaction with AI-generated summaries has also helped keep overall time spent on the service steady.

Competition With ChatGPT

Naver addressed concerns that generative AI tools could weaken its position in the search market. Reports have suggested that competition from ChatGPT has affected usage trends.

According to market research firm OpenSurvey, ChatGPT usage increased to 54.5 percent in December 2025 from 39.6 percent in March 2025. Over the same period, Naver’s usage rate declined from 85.3 percent to 81.6 percent.

Despite the decline in usage share, Naver said improvements in service quality helped drive revenue growth.

AI Agents And New Services Planned

Looking ahead, Naver plans to introduce AI agents designed to perform tasks directly for users. One of the first upcoming features is the “AI Tab,” expected to launch in the first half of 2026.

The AI Tab will connect Naver services such as shopping, maps, and finance with a chatbot capable of handling reservations, purchases, and payments.

The company will begin rolling out specialized AI agents through its shopping platform. An internal closed beta test for a shopping agent was scheduled to start in early 2026, with a public launch planned for late February.

Additional agents are expected to expand to maps, finance, and travel services.

Expansion Into Sovereign AI

Naver is also targeting the growing sovereign AI market by offering specialized AI models to governments and institutions. The company has already deployed a medical-focused AI model for Seoul National University Hospital.

In January 2026, Naver also supplied a finance-focused AI model to the Bank of Korea.

Choi said the company plans to expand sovereign AI initiatives in international markets including Saudi Arabia, Thailand, and Japan.

Sources: Naver, OpenSurvey, News1, and company statements reported by local media.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.