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    South Korea AI in Cybersecurity Market

    ID: MRFR/ICT/57013-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    South Korea AI in Cybersecurity Market Research Report By Application (Intrusion Detection, Threat Intelligence, Fraud Detection, Security Analytics, Incident Response), By Deployment Mode (Cloud-Based, On-Premises, Hybrid), By End Use (BFSI, Healthcare, Government, Retail, IT and Telecom) and By Technology (Machine Learning, Natural Language Processing, Deep Learning, Neural Networks)- Forecast to 2035

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    South Korea AI in Cybersecurity Market 
Research Report- Forecast to 2035 Infographic
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    Table of Contents

    South Korea AI in Cybersecurity Market Summary

    The South Korea AI in Cybersecurity market is projected to grow from 178.1 million USD in 2024 to 2800.0 million USD by 2035, indicating robust expansion.

    Key Market Trends & Highlights

    South Korea AI in Cybersecurity Key Trends and Highlights

    • The market is expected to experience a compound annual growth rate (CAGR) of 28.46% from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 2800.0 million USD, reflecting a substantial increase from the base year.
    • In 2024, the market is valued at 178.1 million USD, showcasing the current investment landscape in AI-driven cybersecurity solutions.
    • Growing adoption of AI technologies due to increasing cyber threats is a major market driver.

    Market Size & Forecast

    2024 Market Size 178.1 (USD Million)
    2035 Market Size 2800.0 (USD Million)
    CAGR (2025-2035) 28.46%

    Major Players

    Secom, AhnLab, BigSoft, LG CNS, TmaxSoft, SK Telecom, Samsung SDS, Duzon Bizon, Penta Security Systems, Hanwha Techwin, Curemetrix, Solvtech, KT Corporation, Naver Corporation, Vitzro Tech

    South Korea AI in Cybersecurity Market Trends

    South Korea AI in cybersecurity market is expanding quickly, propelled by stronger national-security priorities and a steady rise in online attacks. In response, the South Korean government is pouring funds into cutting-edge technology to shore up its defenses, aware that sensitive data and vital systems must be shielded. As digital change sweeps through almost every industry, firms are turning to AI tools that can spot threats early, respond swiftly, and lighten the load on human analysts. This demand encourages local developers to experiment and deliver customized systems for banking, healthcare, public services, and other fields with unique risk profiles.

    This market is rich with opportunities, especially in threat intelligence, predictive analytics, and automated response tools. South Korean firms can team up with local start-ups and research centres to apply these AI solutions effectively. Many companies are now also designing training programs that use AI-based simulations, enabling staff to spot and react to attacks sooner. Recent data shows a sharp rise in AI systems being deployed for round-the-clock monitoring and threat evaluation. Organizations are now running machine-learning models that sift through massive data streams, picking out unusual patterns far quicker than older techniques.

    On top of this, the South Korean government has set up specialist cybersecurity units that encourage joint projects between universities and businesses, pushing AI research ahead. Together, these moves-from training to state-led collaboration-are shifting the national approach from reactive defence to proactive strategy and steering the country toward a more secure digital future.

    South Korea AI in Cybersecurity Market Drivers

    Market Segment Insights

    Get more detailed insights about South Korea AI in Cybersecurity Market Research Report- Forecast to 2035

    Regional Insights

    Key Players and Competitive Insights

    The South Korea AI in Cybersecurity Market is experiencing rapid growth and transformation, driven by an increasing demand for advanced security solutions to counter evolving cyber threats. The rise of AI technology has enabled firms to enhance their ability to detect, respond, and mitigate cybersecurity incidents more effectively than traditional measures. In this environment, market players are actively developing innovative solutions that leverage machine learning, deep learning, and automation to secure networks, systems, and sensitive data.

    The landscape is characterized by intense competition as established cybersecurity firms and emerging startups work tirelessly to build cutting-edge technologies that can adapt to the sophisticated tactics employed by cybercriminals. Collaborative partnerships and strategic investments have further intensified the race for technological supremacy and market share within this crucial sector.

    Secom has carved out a significant presence in the South Korea AI in Cybersecurity Market, primarily focusing on innovative surveillance and security solutions powered by artificial intelligence technology. The company boasts a robust offering that includes AI-driven video analytics, intrusion detection systems, and real-time threat intelligence. Secom's strengths lie in its ability to integrate advanced machine learning algorithms into its products, providing enhanced accuracy and decision-making capabilities. With an established network and reputation for reliability, Secom effectively collaborates with various sectors such as finance, healthcare, and transportation to bolster their cybersecurity measures. 

    Furthermore, Secom’s commitment to continuous R&D enables it to stay at the forefront of technological advancements, ensuring that it meets the ever-evolving needs of its customers in South Korea.AhnLab holds a prominent position in the South Korea AI in Cybersecurity Market, recognized for its comprehensive suite of cybersecurity solutions tailored to various industry needs. 

    AhnLab's key products include endpoint security, network security, and AI-driven threat detection systems, which reinforce its reputation as a leader in the cybersecurity landscape. The company has leveraged its significant research and development capabilities to pioneer advanced solutions that address the latest cyber threats. Its market presence extends across diverse sectors, particularly in finance and government, where cybersecurity is paramount. AhnLab has also engaged in strategic mergers and acquisitions to enhance its product offerings and expand its technological capabilities, allowing for an agile response to the evolving threat landscape.

    The synergy created by these integrations has further solidified AhnLab’s competitive advantage, making it a formidable player in the South Korean market.

    Key Companies in the South Korea AI in Cybersecurity Market market include

    Industry Developments

    In July 2023, SK Telecom announced a partnership with Samsung SDS to develop advanced AI-driven security solutions aimed at addressing the rising threats in the digital space. Furthermore, in August 2023, the South Korean government emphasized its commitment to bolstering cybersecurity by allocating increased funding for Research and Development in AI technologies, reflecting a heightened focus on securing critical digital infrastructure.

    In addition, AhnLab's acquisition of a cloud security startup in September 2023 has positioned the company strategically in the competitive landscape. Over the last two years, the market has experienced a compound annual growth rate of approximately 20%, driven by heightened demand for cybersecurity solutions amid an evolving threat landscape. Companies such as TmaxSoft and Duzon Bizon are also ramping up their AI capabilities. This surge in market valuation signifies a robust response to cyber threats, enhancing the security posture of enterprises across South Korea.

    Market Segmentation

    AI in Cybersecurity Market End Use Outlook

    • BFSI
    • Healthcare
    • Government
    • Retail
    • IT and Telecom

    AI in Cybersecurity Market Technology Outlook

    • Machine Learning
    • Natural Language Processing
    • Deep Learning
    • Neural Networks

    AI in Cybersecurity Market Application Outlook

    • Intrusion Detection
    • Threat Intelligence
    • Fraud Detection
    • Security Analytics
    • Incident Response

    AI in Cybersecurity Market Deployment Mode Outlook

    • Cloud-Based
    • On-Premises
    • Hybrid

    Report Scope

     
    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 145.76(USD Million)
    MARKET SIZE 2024 178.08(USD Million)
    MARKET SIZE 2035 2799.97(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 28.462% (2025 - 2035)
    REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR 2024
    MARKET FORECAST PERIOD 2025 - 2035
    HISTORICAL DATA 2019 - 2024
    MARKET FORECAST UNITS USD Million
    KEY COMPANIES PROFILED Secom, AhnLab, BigSoft, LG CNS, TmaxSoft, SK Telecom, Samsung SDS, Duzon Bizon, Penta Security Systems, Hanwha Techwin, Curemetrix, Solvtech, KT Corporation, Naver Corporation, Vitzro Tech
    SEGMENTS COVERED Application, Deployment Mode, End Use, Technology
    KEY MARKET OPPORTUNITIES Government cybersecurity initiatives expansion, Rising adoption of digital transformation, Increased investments in AI research, Growing demand for real-time threat detection, Enhanced focus on data privacy regulations
    KEY MARKET DYNAMICS growing cyber threats, increasing government investment, demand for automation, rising awareness of data security, advancements in machine learning
    COUNTRIES COVERED South Korea

    Market Highlights

    Author
    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in Market Research and Business Consulting, working under the spectrum of Information Communication Technology, Telecommunications and Semiconductor domains. Aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. Her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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    FAQs

    What is the expected market size of the South Korea AI in Cybersecurity Market in 2024?

    The South Korea AI in Cybersecurity Market is expected to be valued at 178.08 million USD in 2024.

    What is the anticipated market size for the South Korea AI in Cybersecurity Market by 2035?

    By 2035, the market is expected to reach a valuation of 2799.97 million USD.

    What is the expected compound annual growth rate (CAGR) for the South Korea AI in Cybersecurity Market from 2025 to 2035?

    The expected CAGR for the South Korea AI in Cybersecurity Market is 28.462% for the period from 2025 to 2035.

    Which application segment is projected to dominate the South Korea AI in Cybersecurity Market?

    The Intrusion Detection segment is projected to dominate, growing from 50.0 million USD in 2024 to 800.0 million USD in 2035.

    What is the projected value of the Threat Intelligence segment in the South Korea AI in Cybersecurity Market by 2035?

    The Threat Intelligence segment is expected to be valued at 600.0 million USD by 2035.

    Who are the key players in the South Korea AI in Cybersecurity Market?

    Key players include Secom, AhnLab, BigSoft, LG CNS, TmaxSoft, SK Telecom, Samsung SDS, and several others.

    What is the projected market size of the Fraud Detection application in 2035?

    The Fraud Detection application is projected to reach 500.0 million USD in market size by 2035.

    What is the expected market value for the Security Analytics application in 2024?

    The Security Analytics application is expected to be valued at 20.0 million USD in 2024.

    What growth opportunities exist within the South Korea AI in Cybersecurity Market?

    There are significant growth opportunities driven by increasing cyber threats and the adoption of AI technologies.

    What is the estimated market size for the Incident Response application by 2035?

    The Incident Response application is estimated to reach a market size of 549.97 million USD by 2035.

    1. EXECUTIVE
    2. SUMMARY
    3. Market Overview
    4. Key Findings
    5. Market Segmentation
    6. Competitive Landscape
    7. Challenges and Opportunities
    8. Future Outlook
    9. MARKET INTRODUCTION
    10. Definition
    11. Scope of the study
    12. Research Objective
    13. Assumption
    14. Limitations
    15. RESEARCH
    16. METHODOLOGY
    17. Overview
    18. Data
    19. Mining
    20. Secondary Research
    21. Primary
    22. Research
    23. Primary Interviews and Information Gathering
    24. Process
    25. Breakdown of Primary Respondents
    26. Forecasting
    27. Model
    28. Market Size Estimation
    29. Bottom-Up
    30. Approach
    31. Top-Down Approach
    32. Data
    33. Triangulation
    34. Validation
    35. MARKET
    36. DYNAMICS
    37. Overview
    38. Drivers
    39. Restraints
    40. Opportunities
    41. MARKET FACTOR ANALYSIS
    42. Value chain Analysis
    43. Porter's
    44. Five Forces Analysis
    45. Bargaining Power of Suppliers
    46. Bargaining
    47. Power of Buyers
    48. Threat of New Entrants
    49. Threat
    50. of Substitutes
    51. Intensity of Rivalry
    52. COVID-19
    53. Impact Analysis
    54. Market Impact Analysis
    55. Regional
    56. Impact
    57. Opportunity and Threat Analysis
    58. South
    59. Korea AI in Cybersecurity Market, BY Application (USD Million)
    60. Intrusion
    61. Detection
    62. Threat Intelligence
    63. Fraud
    64. Detection
    65. Security Analytics
    66. Incident
    67. Response
    68. South Korea AI in
    69. Cybersecurity Market, BY Deployment Mode (USD Million)
    70. Cloud-Based
    71. On-Premises
    72. Hybrid
    73. South
    74. Korea AI in Cybersecurity Market, BY End Use (USD Million)
    75. BFSI
    76. Healthcare
    77. Government
    78. Retail
    79. IT
    80. and Telecom
    81. South Korea AI
    82. in Cybersecurity Market, BY Technology (USD Million)
    83. Machine
    84. Learning
    85. Natural Language Processing
    86. Deep
    87. Learning
    88. Neural Networks
    89. Competitive Landscape
    90. Overview
    91. Competitive
    92. Analysis
    93. Market share Analysis
    94. Major
    95. Growth Strategy in the AI in Cybersecurity Market
    96. Competitive
    97. Benchmarking
    98. Leading Players in Terms of Number of Developments
    99. in the AI in Cybersecurity Market
    100. Key developments and
    101. growth strategies
    102. New Product Launch/Service Deployment
    103. Merger
    104. & Acquisitions
    105. Joint Ventures
    106. Major
    107. Players Financial Matrix
    108. Sales and Operating Income
    109. Major
    110. Players R&D Expenditure. 2023
    111. Company
    112. Profiles
    113. Secom
    114. Financial
    115. Overview
    116. Products Offered
    117. Key
    118. Developments
    119. SWOT Analysis
    120. Key
    121. Strategies
    122. AhnLab
    123. Financial
    124. Overview
    125. Products Offered
    126. Key
    127. Developments
    128. SWOT Analysis
    129. Key
    130. Strategies
    131. BigSoft
    132. Financial
    133. Overview
    134. Products Offered
    135. Key
    136. Developments
    137. SWOT Analysis
    138. Key
    139. Strategies
    140. LG CNS
    141. Financial
    142. Overview
    143. Products Offered
    144. Key
    145. Developments
    146. SWOT Analysis
    147. Key
    148. Strategies
    149. TmaxSoft
    150. Financial
    151. Overview
    152. Products Offered
    153. Key
    154. Developments
    155. SWOT Analysis
    156. Key
    157. Strategies
    158. SK Telecom
    159. Financial
    160. Overview
    161. Products Offered
    162. Key
    163. Developments
    164. SWOT Analysis
    165. Key
    166. Strategies
    167. Samsung SDS
    168. Financial
    169. Overview
    170. Products Offered
    171. Key
    172. Developments
    173. SWOT Analysis
    174. Key
    175. Strategies
    176. Duzon Bizon
    177. Financial
    178. Overview
    179. Products Offered
    180. Key
    181. Developments
    182. SWOT Analysis
    183. Key
    184. Strategies
    185. Penta Security Systems
    186. Financial
    187. Overview
    188. Products Offered
    189. Key
    190. Developments
    191. SWOT Analysis
    192. Key
    193. Strategies
    194. Hanwha Techwin
    195. Financial
    196. Overview
    197. Products Offered
    198. Key
    199. Developments
    200. SWOT Analysis
    201. Key
    202. Strategies
    203. Curemetrix
    204. Financial
    205. Overview
    206. Products Offered
    207. Key
    208. Developments
    209. SWOT Analysis
    210. Key
    211. Strategies
    212. Solvtech
    213. Financial
    214. Overview
    215. Products Offered
    216. Key
    217. Developments
    218. SWOT Analysis
    219. Key
    220. Strategies
    221. KT Corporation
    222. Financial
    223. Overview
    224. Products Offered
    225. Key
    226. Developments
    227. SWOT Analysis
    228. Key
    229. Strategies
    230. Naver Corporation
    231. Financial
    232. Overview
    233. Products Offered
    234. Key
    235. Developments
    236. SWOT Analysis
    237. Key
    238. Strategies
    239. Vitzro Tech
    240. Financial
    241. Overview
    242. Products Offered
    243. Key
    244. Developments
    245. SWOT Analysis
    246. Key
    247. Strategies
    248. References
    249. Related
    250. Reports
    251. LIST
    252. OF ASSUMPTIONS
    253. South Korea AI in Cybersecurity Market
    254. SIZE ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    255. South
    256. Korea AI in Cybersecurity Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT MODE,
    257. 2035 (USD Billions)
    258. South Korea AI in Cybersecurity
    259. Market SIZE ESTIMATES & FORECAST, BY END USE, 2019-2035 (USD Billions)
    260. South
    261. Korea AI in Cybersecurity Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY, 2019-2035
    262. (USD Billions)
    263. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    264. ACQUISITION/PARTNERSHIP
    265. LIST
    266. Of figures
    267. MARKET SYNOPSIS
    268. SOUTH
    269. KOREA AI IN CYBERSECURITY MARKET ANALYSIS BY APPLICATION
    270. SOUTH
    271. KOREA AI IN CYBERSECURITY MARKET ANALYSIS BY DEPLOYMENT MODE
    272. SOUTH
    273. KOREA AI IN CYBERSECURITY MARKET ANALYSIS BY END USE
    274. SOUTH
    275. KOREA AI IN CYBERSECURITY MARKET ANALYSIS BY TECHNOLOGY
    276. KEY
    277. BUYING CRITERIA OF AI IN CYBERSECURITY MARKET
    278. RESEARCH
    279. PROCESS OF MRFR
    280. DRO ANALYSIS OF AI IN CYBERSECURITY MARKET
    281. DRIVERS
    282. IMPACT ANALYSIS: AI IN CYBERSECURITY MARKET
    283. RESTRAINTS
    284. IMPACT ANALYSIS: AI IN CYBERSECURITY MARKET
    285. SUPPLY /
    286. VALUE CHAIN: AI IN CYBERSECURITY MARKET
    287. AI IN CYBERSECURITY
    288. MARKET, BY APPLICATION, 2025 (% SHARE)
    289. AI IN CYBERSECURITY
    290. MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    291. AI
    292. IN CYBERSECURITY MARKET, BY DEPLOYMENT MODE, 2025 (% SHARE)
    293. AI
    294. IN CYBERSECURITY MARKET, BY DEPLOYMENT MODE, 2019 TO 2035 (USD Billions)
    295. AI
    296. IN CYBERSECURITY MARKET, BY END USE, 2025 (% SHARE)
    297. AI
    298. IN CYBERSECURITY MARKET, BY END USE, 2019 TO 2035 (USD Billions)
    299. AI
    300. IN CYBERSECURITY MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    301. AI
    302. IN CYBERSECURITY MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    303. BENCHMARKING
    304. OF MAJOR COMPETITORS

    South Korea AI in Cybersecurity Market Segmentation

     

     

     

    • AI in Cybersecurity Market By Application (USD Million, 2019-2035)

      • Intrusion Detection
      • Threat Intelligence
      • Fraud Detection
      • Security Analytics
      • Incident Response

     

    • AI in Cybersecurity Market By Deployment Mode (USD Million, 2019-2035)

      • Cloud-Based
      • On-Premises
      • Hybrid

     

    • AI in Cybersecurity Market By End Use (USD Million, 2019-2035)

      • BFSI
      • Healthcare
      • Government
      • Retail
      • IT and Telecom

     

    • AI in Cybersecurity Market By Technology (USD Million, 2019-2035)

      • Machine Learning
      • Natural Language Processing
      • Deep Learning
      • Neural Networks

     

     

     

     

     

     

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