South Korean Managed Security Services Market, Forecast to 2022
|出版商||Frost & Sullivan||商品編碼||854012|
|出版日期||內容資訊||英文 44 Pages
|韓國的管理、安全服務市場:2022年為止的預測 South Korean Managed Security Services Market, Forecast to 2022|
|出版日期: 2019年05月20日||內容資訊: 英文 44 Pages||
韓國的管理、安全服務市場順利發展，2017年記錄了7.8％的成長率。再加上2017∼2022年的年複合成長率 (CAGR) 預計達到12.8％。尤其是EDR (端點檢測、支援) ，及機器學習技術有效利用平台等的關注高漲著。
本報告提供韓國國內的管理、安全服務市場相關分析，整體市場收益額、佔有率趨勢預測 (過去、今後7年份) ，及市場競爭結構、形勢，今後的市場成長機會及產業相關人員應檢討行動，主要供應商/服務供應商的簡介等資訊彙整，為您概述為以下內容。
Lack of In-house Cybersecurity Skills Drives MSS Adoption
The South Korean MSS market witnessed a growth of 7.8% in 2017. Though cloud MSS has been available since 2016, large enterprises adopted it at a higher rate in 2017. End-user verticals, such as manufacturing, government, service providers and others, such as retail, gaming, and broadcasting led the adoption of MSS in 2017.
The South Korean MSS market was dominated mainly by local MSSPs. SKInfosec, IGLOO SECURITY, and AhnLab led the market. The top 7 participants were all local vendors. Some of the other players in the market were KT, LG Uplus, CyberOne, and Hansol NexG.
The MMS segment is expected to grow at a CAGR of 12.8% from 2017 to 2022, and the HSS at a slightly higher CAGR of 12.9%.
Higher interest in Managed Detection and Response (MDR) generated business opportunities for MSSPs; they are now partnering with Endpoint Detection and Response (EDR) solution vendors. In addition, the manufacturing industry's plan to move its infrastructure to the cloud could boost the adoption of cloud MSS in the South Korean market.
MSSPs provide their services based on their platform which uses machine-learning technology. As accurate detection of intelligent cyberattacks and quick response are the main issues, MSSPs engage in industry-university cooperation or develop solutions with other partners to increase speed and clarity of threat prediction/detection. While some companies partner with local universities to develop AI-based managed security service and AI Engines, other partnerships are formed to design SIEM analysis engine, based on machine-learning technology.
MMS customers seek hybrid models which use both dispatch control and remote control for their data centers. Customers largely use remote control services; however, as they do not have security professionals in their data center, they also want to use dispatch control services. This trend was mainly seen among medium-sized customers and is expected to continue into the future. Requests for firewall policy management services grew in 2017; this is likely to see more demand in 2018.