Startups Lead 70% of South Korea's Financial AI Patent Applications

A new report reveals that nearly 70% of patent applications for investment-related artificial intelligence in South Korea come from non-listed companies and startups, indicating they are at the forefront of the sector's AI transformation. The majority of these AI solutions are designed for business-to-business use, targeting standardized tasks like consigned trading and stock price analysis, while avoiding high-risk areas. This innovation surge coincides with record-breaking profits for South Korea's major brokerage houses, fueled by a booming local stock market. The report underscores the need for government and regulatory support to ensure AI adoption spreads across the entire financial investment industry.

Key Points: 70% of Korea's Financial AI Patents Filed by Startups

  • 67% of financial AI patents from SaaS firms
  • 76% of AI designed for business clients
  • AI focuses on trading, monitoring, stock analysis
  • Securities firms saw record profits in 2025
2 min read

Non-listed firms take up 70 pc of financial AI patent application in S. Korea

Report shows non-listed firms and startups dominate AI patent applications in South Korea's finance sector, driving innovation in investment tech.

"For AI innovation to spread across the entire financial investment industry... the active roles of the government and regulatory authorities are necessary - Korea Capital Market Institute Report"

Seoul, Feb 17

Nearly 7 out of 10 patent applications filed in South Korea for investment-related artificial intelligence came from non-listed companies and startups, a report showed on Tuesday, suggesting venture firms are leading the AI transformation in the finance sector.

According to a report from the Korea Capital Market Institute, 67 percent of patent applications for financial investment-related AI were filed by local Software as a Service, or SaaS, companies, reports Yonhap news agency.

Of them, 76 per cent were designed to be sold to other companies or businesses, while only 14 percent were intended for individual customers, according to the report.

Many of the patent requests were related to AI designed for standardised tasks, including consigned trading of financial products, monitoring of abnormal trading activity and stock price analysis.

AI patent filings were minimal in areas that treat non-disclosed information and depend on human networks, such as deal sourcing, as well as areas accompanied by high financial risks, the report said.

"For AI innovation to spread across the entire financial investment industry, rather than being concentrated in certain areas, the active roles of the government and regulatory authorities are necessary," it added.

Meanwhile, South Korea's major brokerage houses racked up record earnings last year on the back of a bull run on the local stock market, industry data showed.

The combined net profit of the country's 27 securities firms is estimated at 10.23 trillion won ($7.03 billion) for 2025, sharply up from the previous year's 6.97 trillion won.

Korea Investment & Securities Co. posted the biggest net income of 2.01 trillion won last year, up 79 percent from a year earlier, followed by Mirae Asset Securities Co. with 1.59 trillion won in net profit.

The average daily turnover of the local stock market stood at 16.9 trillion won in 2025, marking a whopping 57 percent spike from a year before, according to the data.

- IANS

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Reader Comments

P
Priya S
76% for B2B sales makes sense. Building AI for individual retail investors in India is tough with so much volatility and sentiment-driven trading. Startups are smarter to target institutions first. The stock market boom there mirrors our own Sensex rally!
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Rohit P
Interesting data, but the report itself says innovation is concentrated in "standardised tasks". The real value in finance, especially in a relationship-based market like India, is in deal-making and sourcing, which still needs humans. AI is a tool, not a replacement. Let's not get carried away.
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Sarah B
The correlation between the AI patent surge and the record profits for brokerages is the key takeaway. Technology is driving efficiency and new revenue streams. Indian brokerages need to invest more in R&D rather than just riding the market wave.
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Vikram M
Good to see startups leading. But the article ends with a crucial point: government and regulators need to step up. In India, sometimes regulations lag behind tech, which can stifle innovation. We need a clear sandbox policy for financial AI to truly flourish.
K
Kavya N
Monitoring abnormal trading activity is such an important use case. After all the market manipulation concerns we've seen, having robust AI for surveillance is a must. Hope SEBI is looking at similar tech solutions for our markets.

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