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    South Korea Generative Ai In Data Analytics Market

    ID: MRFR/ICT/58538-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    South Korea Generative AI in Data Analytics Market Research Report By Deployment (Cloud-Based, On-premise), By Technology (Machine learning, Natural Language Processing, Deep learning, Computer vision, Robotic Process Automation) and By Application (Data Augmentation, Anomaly Detection, Text Generation, Simulation and Forecasting)-Forecast to 2035

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    Table of Contents

    South Korea Generative Ai In Data Analytics Market Summary

    The South Korea Generative AI in Data Analytics market is poised for exponential growth, projected to reach 63 USD Million by 2035.

    Key Market Trends & Highlights

    South Korea Generative AI in Data Analytics Key Trends and Highlights

    • The market valuation is expected to grow from 0.18 USD Million in 2024 to 63 USD Million by 2035.
    • A remarkable compound annual growth rate (CAGR) of 70.33% is anticipated from 2025 to 2035.
    • The rapid expansion of data generation and analysis requirements is likely to drive market growth.
    • Growing adoption of generative AI technologies due to increasing demand for advanced data analytics solutions is a major market driver.

    Market Size & Forecast

    2024 Market Size 0.18 (USD Million)
    2035 Market Size 63 (USD Million)
    CAGR (2025-2035) 70.33%

    Major Players

    Samsung SDS, SK Telecom

    South Korea Generative Ai In Data Analytics Market Trends

    South Korea Generative AI in Data Analytics Market has grown significantly due to developments in machine learning and the growing need for data-driven decision-making in a variety of industries. Organizations are using generative AI to improve predictive analytics and optimize operations as a result of the emergence of smart factories and automation programs spearheaded by the South Korean government.

    The adoption of generative AI solutions is also greatly aided by South Korea's tech-savvy populace and strong digital infrastructure, as companies look for novel approaches to evaluate massive volumes of data.

    There are chances for regional businesses to create unique generative AI solutions for certain sectors, such as manufacturing, healthcare, and finance. Businesses can take advantage of government-backed programs and funding efforts targeted at incorporating AI technologies in their operations, given the government's emphasis on improving competitiveness through digital transformation.

    South Korea Generative Ai In Data Analytics Market Drivers

    Market Segment Insights

    Generative AI in Data Analytics Market Deployment Insights

    The Deployment segment of the South Korea Generative AI in Data Analytics Market is characterized by a strong emphasis on innovative solutions that enhance data processing and analytics capabilities across various industries. This segment is primarily divided into two categories: Cloud-Based and On-premise deployment methods, both of which play crucial roles in shaping the landscape of generative AI technologies in data analytics.

    South Korea, known for its advanced technological infrastructure and digital transformation initiatives, has witnessed a significant rise in the adoption of cloud-based solutions among organizations seeking scalability and flexibility. Cloud-Based deployment offers the advantage of accessibility, allowing companies to leverage vast computational resources and real-time data analytics without the burden of extensive on-site hardware investments, thus streamlining operations and reducing costs.

    On the other hand, On-premise deployment remains essential for sectors where data security, privacy, and compliance are of paramount importance, such as healthcare and finance. Organizations in these industries tend to favor On-premise solutions to retain full control over their data and ensure that regulatory requirements are met effectively.

    South Korea's regulatory environment encourages businesses to adopt robust security measures, making On-premise deployment a favorable option for many enterprises concerned about potential data breaches or cyber threats.

    The balance between these two deployment strategies is influenced by factors such as organizational size, budget constraints, and specific industry requirements. Moreover, the continued investment in data-driven decision-making technologies by the South Korean government bolsters demand for both deployment types, driving innovation and competition in the market.

    Generative AI in Data Analytics Market Technology Insights

    The Technology segment of the South Korea Generative AI in Data Analytics Market is experiencing significant advancements and adoption across various applications. This segment encompasses essential technologies such as Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, and Robotic Process Automation. Machine Learning is crucial for identifying patterns and trends within vast datasets, thus facilitating informed decision-making.

    Natural Language Processing is pivotal for understanding and processing human language, enabling businesses to interact more effectively with users.Deep Learning, a subset of Machine Learning, enhances model precision through complex neural networks, proving essential in tasks such as image and voice recognition.

    Computer Vision plays a vital role in analyzing visual data, increasing automation and operational efficiency in industries like manufacturing and healthcare. Finally, Robotic Process Automation streamlines repetitive tasks, enabling organizations to focus on innovation and customer engagement. As South Korea's technological infrastructure continues to evolve, these technologies are expected to drive substantial growth and opportunities within the South Korea Generative AI in Data Analytics Market.

    Generative AI in Data Analytics Market Application Insights

    The South Korea Generative AI in Data Analytics Market is witnessing significant growth, particularly in the Applications segment, which includes various critical areas such as Data Augmentation, Anomaly Detection, Text Generation, Simulation, and Forecasting. Data Augmentation plays a vital role, enhancing the quality and quantity of training data, thus improving model accuracy and performance.

    Anomaly Detection is crucial for identifying deviations that can indicate potential issues within data sets, leading to timely decision-making in sectors like finance and healthcare.Text Generation is increasingly used in content creation, automating reports and communications, thereby streamlining business operations. Simulation is being employed to model complex scenarios, aiding in strategic planning and risk assessment.

    Forecasting is essential for predictive analytics, enabling organizations to make informed future decisions based on historical data trends. Each of these areas is playing an indispensable role in leveraging the capabilities of Generative AI, driving innovation and efficiency across various industries in South Korea, reflecting the ongoing digital transformation and the heightened focus on data-driven approaches.

    Get more detailed insights about South Korea Generative Ai In Data Analytics Market Research Report-Forecast to 2035

    Regional Insights

    Key Players and Competitive Insights

    The South Korea Generative AI in Data Analytics Market is rapidly evolving, characterized by significant advancements and increasing adoption across various industries. The competitive landscape is shaped by a combination of domestic and international players who are striving to leverage the potential of generative AI technologies. Companies are focused on integrating AI-driven solutions into their data analytics frameworks to enhance decision-making, operational efficiency, and customer experiences.

    As organizations recognize the importance of data in driving innovation, the demand for generative AI capabilities is expected to rise, attracting investments and encouraging collaboration among technology providers, academic institutions, and enterprises.Samsung SDS stands out as a key player in the South Korea Generative AI in Data Analytics Market, leveraging its extensive expertise in IT services and solutions.

    The company is renowned for its strong research and development capabilities, which allow it to stay at the forefront of technological advancements. Samsung SDS utilizes its deep understanding of data analytics to offer tailored generative AI solutions that cater to the specific needs of various sectors, including finance, manufacturing, and healthcare.

    This strategic focus on customization, combined with the company's reputation for reliability and innovation, solidifies its position in the market. Furthermore, Samsung SDS benefits from the robust brand recognition and extensive resources of the Samsung conglomerate, enabling it to maintain a competitive edge and drive growth in its generative AI offerings.

    SK Telecom is another notable contender in the South Korea Generative AI in Data Analytics Market, showcasing its commitment to technology and innovation. The company has made significant strides in developing AI-driven products and services that enable organizations to harness the power of data analytics for improved outcomes. SK Telecom's generative AI solutions primarily focus on enhancing communication, customer engagement, and operational efficiency.

    The firm has established a strong market presence through strategic partnerships and collaborations, further bolstering its capabilities in the generative AI domain. In addition, SK Telecom has been actively exploring mergers and acquisitions to enhance its technological assets and offerings, which aligns with its overarching goal of being a leader in data-driven solutions. The company’s emphasis on deploying advanced AI technologies positions it well within the competitive landscape, allowing it to meet the evolving demands of businesses in South Korea.

    Key Companies in the South Korea Generative Ai In Data Analytics Market market include

    Industry Developments

    Recent developments in the South Korea Generative AI in Data Analytics Market have seen significant advancements, particularly with key players such as Samsung SDS and SK Telecom launching innovative AI-driven platforms that enhance data processing capabilities.

    The market has been further energized by the rise of AhnLab and Naver, both of which are integrating Generation AI technologies within their cybersecurity and analytics frameworks. Current affairs indicate a notable growth trajectory, with substantial investments in AI research, particularly from Hana Financial Group, which is focusing on utilizing AI to optimize financial analytics.

    March 26, 2025 — Samsung SDS said at its Cello Square Conference that generative AI-powered market reports are now integrated into its logistics analytics platform. These reports give consumers the ability to create analytical summaries on demand through the ChatGPT Store by giving them real-time information about unloading delays, ETA/ETD forecasts, and global logistics concerns. This is a definite step forward in using generative AI to make enterprise-level logistical decisions. January 13, 2025 — GPU-as-a-Service (GPUaaS) was introduced by SK Telecom at the Gasan AI Data Center in Seoul.

    This on-demand generative AI infrastructure, which is based on NVIDIA H100 GPUs with the H200 scheduled for release in early 2025, allows businesses to safely and efficiently train and implement LLMs and analytics models. "AI Cloud Manager" is a feature of the platform that makes GPU resource orchestration easier.

    Market Segmentation

    Generative AI in Data Analytics Market Deployment Outlook

    • Machine learning
    • Natural Language Processing
    • Deep learning
    • Computer vision
    • Robotic Process Automation

    Generative AI in Data Analytics Market Technology Outlook

    • Data Augmentation
    • Anomaly Detection
    • Text Generation
    • Simulation and Forecasting

    Generative AI in Data Analytics Market Application Outlook

    • Data Augmentation
    • Anomaly Detection
    • Text Generation
    • Simulation and Forecasting

    Report Scope

     

    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 0.11(USD Million)
    MARKET SIZE 2024 0.18(USD Million)
    MARKET SIZE 2035 63.19(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 70.379% (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 Samsung SDS, SK Telecom, AhnLab, Infortrend, Naver, Hancom, Hana Financial Group, Sentbe, Hyundai AutoEver, Kakao, CLOVA, Daumsoft, Penta Security Systems, FPT Software, LG CNS
    SEGMENTS COVERED Deployment, Technology, Application
    KEY MARKET OPPORTUNITIES Increased demand for predictive insights, Automation of data processing tasks, Growth in personalized marketing strategies, Expansion of AI regulatory frameworks, Adoption in finance and healthcare sectors
    KEY MARKET DYNAMICS Increased data volume, Rising demand for automation, Advancements in machine learning, Need for real-time analytics, Growing competition among enterprises
    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 Generative AI in Data Analytics Market in 2024?

    The South Korea Generative AI in Data Analytics Market is expected to be valued at 0.18 million USD in 2024.

    What will be the projected market size by 2035 for the South Korea Generative AI in Data Analytics Market?

    By 2035, the market is projected to reach a value of 63.19 million USD.

    What is the anticipated compound annual growth rate (CAGR) for the South Korea Generative AI in Data Analytics Market from 2025 to 2035?

    The expected CAGR for the market during this period is 70.379%.

    Which deployment segment is expected to dominate the market, cloud-based or on-premise?

    The cloud-based segment is anticipated to dominate the market, with a value of 44.5 million USD by 2035.

    What is the value of the on-premise segment in 2024 for the South Korea Generative AI in Data Analytics Market?

    The on-premise segment is valued at 0.08 million USD in the year 2024.

    Who are the major players in the South Korea Generative AI in Data Analytics Market?

    Key players in the market include Samsung SDS, SK Telecom, Naver, and LG CNS, among others.

    What are the key applications driving growth in the South Korea Generative AI in Data Analytics Market?

    Key applications include data management, predictive analytics, and real-time decision-making.

    What potential opportunities exist in the South Korea Generative AI in Data Analytics Market?

    Opportunities include the expansion of AI technologies and increased demand for data-driven insights across industries.

    What challenges may affect the growth of the South Korea Generative AI in Data Analytics Market?

    Challenges may include regulatory hurdles and the need for skilled professionals in AI technology.

    How is the current global economic scenario impacting the South Korea Generative AI in Data Analytics Market?

    The global economic scenario is influencing investment trends and innovation within the South Korea Generative AI in Data Analytics Market.

    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 Generative AI in Data Analytics Market, BY Deployment (USD Million)
    60. Cloud-Based
    61. On-premise
    62. South
    63. Korea Generative AI in Data Analytics Market, BY Technology (USD Million)
    64. Machine
    65. learning
    66. Natural Language Processing
    67. Deep
    68. learning
    69. Computer vision
    70. Robotic
    71. Process Automation
    72. South Korea
    73. Generative AI in Data Analytics Market, BY Application (USD Million)
    74. Data
    75. Augmentation
    76. Anomaly Detection
    77. Text
    78. Generation
    79. Simulation and Forecasting
    80. Competitive Landscape
    81. Overview
    82. Competitive
    83. Analysis
    84. Market share Analysis
    85. Major
    86. Growth Strategy in the Generative AI in Data Analytics Market
    87. Competitive
    88. Benchmarking
    89. Leading Players in Terms of Number of Developments
    90. in the Generative AI in Data Analytics Market
    91. Key developments
    92. and growth strategies
    93. New Product Launch/Service Deployment
    94. Merger
    95. & Acquisitions
    96. Joint Ventures
    97. Major
    98. Players Financial Matrix
    99. Sales and Operating Income
    100. Major
    101. Players R&D Expenditure. 2023
    102. Company
    103. Profiles
    104. Samsung SDS
    105. Financial
    106. Overview
    107. Products Offered
    108. Key
    109. Developments
    110. SWOT Analysis
    111. Key
    112. Strategies
    113. SK Telecom
    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. Infortrend
    132. Financial
    133. Overview
    134. Products Offered
    135. Key
    136. Developments
    137. SWOT Analysis
    138. Key
    139. Strategies
    140. Naver
    141. Financial
    142. Overview
    143. Products Offered
    144. Key
    145. Developments
    146. SWOT Analysis
    147. Key
    148. Strategies
    149. Hancom
    150. Financial
    151. Overview
    152. Products Offered
    153. Key
    154. Developments
    155. SWOT Analysis
    156. Key
    157. Strategies
    158. Hana Financial Group
    159. Financial
    160. Overview
    161. Products Offered
    162. Key
    163. Developments
    164. SWOT Analysis
    165. Key
    166. Strategies
    167. Sentbe
    168. Financial
    169. Overview
    170. Products Offered
    171. Key
    172. Developments
    173. SWOT Analysis
    174. Key
    175. Strategies
    176. Hyundai AutoEver
    177. Financial
    178. Overview
    179. Products Offered
    180. Key
    181. Developments
    182. SWOT Analysis
    183. Key
    184. Strategies
    185. Kakao
    186. Financial
    187. Overview
    188. Products Offered
    189. Key
    190. Developments
    191. SWOT Analysis
    192. Key
    193. Strategies
    194. CLOVA
    195. Financial
    196. Overview
    197. Products Offered
    198. Key
    199. Developments
    200. SWOT Analysis
    201. Key
    202. Strategies
    203. Daumsoft
    204. Financial
    205. Overview
    206. Products Offered
    207. Key
    208. Developments
    209. SWOT Analysis
    210. Key
    211. Strategies
    212. Penta Security Systems
    213. Financial
    214. Overview
    215. Products Offered
    216. Key
    217. Developments
    218. SWOT Analysis
    219. Key
    220. Strategies
    221. FPT Software
    222. Financial
    223. Overview
    224. Products Offered
    225. Key
    226. Developments
    227. SWOT Analysis
    228. Key
    229. Strategies
    230. LG CNS
    231. Financial
    232. Overview
    233. Products Offered
    234. Key
    235. Developments
    236. SWOT Analysis
    237. Key
    238. Strategies
    239. References
    240. Related
    241. Reports
    242. LIST
    243. OF ASSUMPTIONS
    244. South Korea Generative AI in Data Analytics
    245. Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT, 2019-2035 (USD Billions)
    246. South
    247. Korea Generative AI in Data Analytics Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY,
    248. 2035 (USD Billions)
    249. South Korea Generative AI in
    250. Data Analytics Market SIZE ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD
    251. Billions)
    252. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    253. ACQUISITION/PARTNERSHIP
    254. LIST
    255. Of figures
    256. MARKET SYNOPSIS
    257. SOUTH
    258. KOREA GENERATIVE AI IN DATA ANALYTICS MARKET ANALYSIS BY DEPLOYMENT
    259. SOUTH
    260. KOREA GENERATIVE AI IN DATA ANALYTICS MARKET ANALYSIS BY TECHNOLOGY
    261. SOUTH
    262. KOREA GENERATIVE AI IN DATA ANALYTICS MARKET ANALYSIS BY APPLICATION
    263. KEY
    264. BUYING CRITERIA OF GENERATIVE AI IN DATA ANALYTICS MARKET
    265. RESEARCH
    266. PROCESS OF MRFR
    267. DRO ANALYSIS OF GENERATIVE AI IN DATA
    268. ANALYTICS MARKET
    269. DRIVERS IMPACT ANALYSIS: GENERATIVE
    270. AI IN DATA ANALYTICS MARKET
    271. RESTRAINTS IMPACT ANALYSIS:
    272. GENERATIVE AI IN DATA ANALYTICS MARKET
    273. SUPPLY / VALUE
    274. CHAIN: GENERATIVE AI IN DATA ANALYTICS MARKET
    275. GENERATIVE
    276. AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT, 2025 (% SHARE)
    277. GENERATIVE
    278. AI IN DATA ANALYTICS MARKET, BY DEPLOYMENT, 2019 TO 2035 (USD Billions)
    279. GENERATIVE
    280. AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    281. GENERATIVE
    282. AI IN DATA ANALYTICS MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    283. GENERATIVE
    284. AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2025 (% SHARE)
    285. GENERATIVE
    286. AI IN DATA ANALYTICS MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    287. BENCHMARKING
    288. OF MAJOR COMPETITORS

    South Korea Generative AI in Data Analytics Market Segmentation

    • Generative AI in Data Analytics Market By Deployment (USD Million, 2019-2035)

      • Cloud-Based
      • On-premise
    • Generative AI in Data Analytics Market By Technology (USD Million, 2019-2035)

      • Machine learning
      • Natural Language Processing
      • Deep learning
      • Computer vision
      • Robotic Process Automation
    • Generative AI in Data Analytics Market By Application (USD Million, 2019-2035)

      • Data Augmentation
      • Anomaly Detection
      • Text Generation
      • Simulation and Forecasting
    Report Infographic
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