[Click eStock] "MoaData Expected to Benefit from AIOps Front Market Growth"

Hana Financial Investment Report

[Asia Economy Reporter Minji Lee] Hana Financial Investment released an analysis on the 30th stating that Moa Data is expected to benefit from the growth of the AIOps (AI-based ICT system management) front market.

Moa Data is a company specializing in AI anomaly detection and prediction solutions, established in 2014. In 2016, it launched Korea's first AI-based ICT monitoring solution AIOps, 'PetaOn Forecaster,' and began expanding its services mainly to public institutions from 2017. The customer base expanded from 13 in 2018 to 255 in 2021.

Researcher Jaeho Choi said, "Despite being an AI company, it is one of the rare companies that is actually making money and recording steady performance growth," adding, "Last year, the sales proportion by product was PetaOn Forecaster (84%), network equipment (11%), and services (5%)."

Moa Data is expected to benefit from the growth of the domestic AIOps market. This market targets data centers and cloud infrastructure as its front industries. Domestic data centers are expected to increase from 159 this year to 205 next year, mainly driven by commercial (colocation) demand due to the expanding need for integrated management of ICT equipment such as servers, networks, and storage.

The cloud infrastructure market is also seeing a significant increase in conversion demand from enterprises and public operators to secure flexibility in server capacity and specifications through virtualized internet services. Researcher Choi stated, "The company's flagship product, 'PetaOn Forecaster,' leads technologically with more than twice the resource efficiency and over 2000 times faster learning processing speed compared to competitors," and added, "It is expected to continuously expand its market share within the AIOps market."

This year's expected sales are 27.1 billion KRW, and operating profit is 4.2 billion KRW, projected to grow 38.1% and 55.9% respectively compared to the same period last year. Researcher Choi explained, "Due to increased replacement demand caused by the limitations of existing ITO such as low productivity and high labor costs, and leading AI technology optimized for time-series data characteristics, the customer base targeting public and large enterprises will continue to expand."

This content was produced with the assistance of AI translation services.