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    South Korea Data Science Platform Market

    ID: MRFR/ICT/58285-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    South Korea Data Science Platform Market Research Report By Business Function (marketing, sales, logistics, human resources), By Deployment (on-demand, on-premises) and By Verticals (BFSI, healthcare, retail, IT, transportation)- Forecast to 2035

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    South Korea Data Science Platform Market Research Report- Forecast to 2035 Infographic
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    Table of Contents

    South Korea Data Science Platform Market Summary

    The South Korea Data Science Platform market is projected to experience substantial growth from 5.5 USD Billion in 2024 to 29 USD Billion by 2035.

    Key Market Trends & Highlights

    South Korea Data Science Platform Key Trends and Highlights

    • The market is expected to grow at a compound annual growth rate of 16.32 percent from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 29 USD Billion, indicating robust expansion.
    • In 2024, the market is valued at 5.5 USD Billion, reflecting a strong foundation for future growth.
    • Growing adoption of data analytics tools due to increased demand for data-driven decision making is a major market driver.

    Market Size & Forecast

    2024 Market Size 5.5 (USD Billion)
    2035 Market Size 29 (USD Billion)
    CAGR (2025-2035) 16.32%

    Major Players

    SK Telecom, Samsung SDS, SAP, Accenture, Naver, Hancom, AWS, Google, Deloitte Consulting, Microsoft, Kakao, Oracle, IBM, Amobee, LG CNS

    South Korea Data Science Platform Market Trends

    The South Korea Data Science Platform Market is seeing big changes since more and more businesses need to make decisions based on data. The South Korean government is working hard to promote the Fourth Industrial Revolution, which makes heavy use of data analytics to boost productivity and creativity. National policies to strengthen the digital economy are putting more and more focus on developing AI technology and big data analytics.

    One of the main reasons the industry is growing is that more and more businesses are putting money into data science platforms to make their operations more efficient and get an edge over their competitors.

    One possibility is that schools and tech corporations may work together to create a competent workforce in data science. South Korea's concentration on technology and innovation provides a great chance for both new and existing companies to create specialized solutions for areas like healthcare, finance, and manufacturing. As the need for custom data science platforms rises, companies may use local knowledge to make sure their solutions meet the specific demands of South Korean businesses. There has been a growing interest in cloud-based data science solutions in recent years.

    Also, more and more businesses are using sophisticated analytics and machine learning, which helps them get useful information from their data. As data privacy laws like the Personal Information Protection Act become more common, more and more people are trying to develop strong, compliant platforms. The South Korea Data Science Platform Market is changing quickly, thanks to new technologies and the growing demand to use data more effectively.

    South Korea Data Science Platform Market Drivers

    Market Segment Insights

    Data Science Platform Market Business Function Insights

    The Business Function segment of the South Korea Data Science Platform Market showcases a diverse array of applications, reflecting the growing necessity for organizations to harness data-driven insights across various operations. In recent years, companies in South Korea have increasingly adopted data science platforms to optimize their marketing strategies, enhance sales performance, streamline logistics operations, and improve human resources management. This surge in data utilization is fueled by advancements in technology and the growing recognition of data as a business asset. Marketing has emerged as a vital area where data science platforms are being utilized.

    Firms leverage analytics to understand customer behavior, craft targeted advertisements, and enhance brand loyalty. The increased emphasis on personalized marketing experiences positions this function at the forefront of business strategies, leading to improved customer engagement and conversion rates. 

    Similarly, sales teams harness data science tools to analyze market trends and forecast sales, enabling them to align with customer demands effectively. The integration of data analytics not only streamlines sales processes but also provides sales personnel with actionable insights, empowering them to make data-informed decisions that drive revenue growth. Logistics functionalities within the South Korea Data Science Platform Market are becoming increasingly significant as companies aim to streamline supply chain operations. Data-driven insights allow for enhanced routing, inventory management, and demand forecasting, ultimately leading to cost savings and efficiency improvements. 

    The ability to analyze vast amounts of logistical data optimizes delivery times and resource allocation, which is particularly essential for maintaining competitiveness in the fast-paced market.In the realm of human resources, organizations in South Korea are turning to data science platforms to make informed decisions regarding talent acquisition, employee engagement, and performance management. With a competitive labor market, the ability to analyze employee data helps companies identify top talent and tailor development programs accordingly. This use of analytics translates to improved employee satisfaction and retention rates, underscoring the importance of data-driven human resource functions.

    Overall, the Business Function segment within the South Korea Data Science Platform Market is rapidly evolving. Organizations recognize the transformative impact of data science on operational effectiveness and competitive advantage. As businesses continue to embrace these technologies, they are likely to experience significant shifts in how they operate across marketing, sales, logistics, and human resources. The emphasis on data-driven decision making is seen as a critical factor in shaping future business strategies in South Korea.

    South Korea Data Science Platform Market Segment

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Data Science Platform Market Deployment Insights

    The Deployment segment of the South Korea Data Science Platform Market has been demonstrating significant growth, reflecting the increasing reliance on data-driven decision-making across various industries. This segment is primarily divided into on-demand and on-premises options, each catering to specific business needs. On-demand deployment is gaining traction due to its flexibility and scalability, allowing companies to quickly adapt to market changes without heavy upfront investments. 

    This is particularly relevant in a rapidly evolving environment like South Korea, where businesses are increasingly focusing on digital transformation.Conversely, on-premises deployment remains a crucial choice for organizations prioritizing data control and security, particularly in sensitive sectors such as finance and healthcare. The growth of the Data Science Platform Market in South Korea is further supported by government initiatives aimed at boosting the technology sector, enhancing the country’s technological infrastructure and capabilities. 

    As organizations continue to harness data science for competitive advantage, the Deployment segment plays a pivotal role in shaping the direction of the South Korea Data Science Platform Market, ensuring that solutions align with both operational needs and compliance requirements.The dynamic interplay between on-demand and on-premises options highlights the diverse landscape of deployment strategies available to businesses navigating the data-driven landscape.

    Data Science Platform Market Verticals Insights

    The South Korea Data Science Platform Market is experiencing significant growth across various verticals, driven by the increasing reliance on advanced analytics and data-driven decision-making. In sectors such as Banking, Financial Services and Insurance (BFSI), data science enhances risk assessment, fraud detection, and customer insights, leading to improved operational efficiency. The healthcare sector leverages data science to optimize patient outcomes, streamline processes, and enable personalized medicine, illustrating its growing importance amidst an aging population.

    Retailers utilize data analytics to understand consumer behavior, manage inventory effectively, and enhance customer experiences, reinforcing their competitive edge in the fast-evolving market. Moreover, the Information Technology sector champions powerful data solutions to ensure robust cybersecurity and seamless IT operations. The transportation industry is also utilizing data science for route optimization and predictive maintenance, making operations more efficient. By focusing on these key verticals, the South Korea Data Science Platform Market showcases a commitment to harnessing data to drive innovation and improved service delivery across various sectors, fundamentally transforming how businesses operate and compete.

    Regional Insights

    Key Players and Competitive Insights

    The South Korea Data Science Platform Market is characterized by a rapidly evolving landscape driven by advancements in data analytics, artificial intelligence, and big data technologies. As organizations increasingly seek to leverage data for strategic decision-making and operational efficiencies, competition within this market has intensified. This competitive environment is marked by a diverse range of providers offering varying capabilities, from traditional data management solutions to more sophisticated platforms that integrate machine learning and predictive analytics.

    The rise of digital transformation has further stimulated demand for robust data science platforms, prompting both established players and new entrants to innovate and expand their service offerings. 

    Companies are investing heavily in research and development to stay ahead in this dynamic market, focusing on areas such as real-time data processing and cloud-based solutions. As a result, the South Korean market presents numerous opportunities for players capable of addressing the unique needs of local businesses while navigating regulatory challenges and evolving consumer expectations.SK Telecom stands as a significant player in the South Korea Data Science Platform Market, leveraging its extensive telecommunications expertise to enhance its offerings. The company has made substantial investments in developing advanced analytics frameworks, facilitating seamless integration of data from vast communication networks. 

    A noteworthy strength of SK Telecom lies in its ability to harness in-depth customer insights through mobile data, which allows businesses to personalize services effectively. The company also actively collaborates with various industries, ranging from healthcare to finance, establishing a strong network that enhances its market presence. Furthermore, SK Telecom’s commitment to innovation is evident in its partnerships with academic institutions and tech startups, ensuring a continuous pipeline of new technologies and ideas that strengthen its position in the data science domain.

    Samsung SDS plays a pivotal role in the South Korea Data Science Platform Market, providing a comprehensive suite of services that encompass data analytics, cloud solutions, and enterprise integration. The company is known for its leading-edge products, such as AI-based analytics platforms and big data solutions designed to optimize business processes for various sectors, including manufacturing, logistics, and finance. Samsung SDS has built a solid presence through its extensive portfolio of cloud-based services, enabling businesses to harness real-time insights and improve operational efficiency. 

    A key strength of Samsung SDS lies in its focus on merging advanced technology with industry-specific knowledge, facilitating tailored solutions for clients. The company's strategic mergers and acquisitions have further bolstered its capabilities, allowing it to integrate new technologies and expand its service offerings. Samsung SDS is recognized for its commitment to security and compliance, ensuring that its data science platforms meet the regulatory requirements crucial for businesses operating in the South Korean landscape.

    Key Companies in the South Korea Data Science Platform Market market include

    Industry Developments

    In recent months, the South Korea Data Science Platform Market has seen significant developments. SK Telecom has launched advanced AI-driven analytics solutions to enhance telecommunications data processing. In July 2023, Samsung SDS announced partnerships with local universities to foster Research and Development in data science, targeting innovations in smart city applications. 

    Accenture and SAP collaborated on a project to integrate cloud solutions tailored for retail analytics, indicating a strong push toward cloud-based data tools. Additionally, in August 2023, Kakao revealed plans to enhance its data capabilities through a strategic investment in emerging data startups, which signals a shift toward nurturing local talent.Merger and acquisition movements have been notable, particularly when Naver acquired a data analytics firm in August 2023 to strengthen its capabilities in AI-enhanced search services. 

    Market valuations have surged, with IBM reporting a 15% growth in its data science division, broadening its influence in the region. Over the last 2-3 years, the market has been impacted by government initiatives aiming to integrate AI and big data into various sectors, confirming South Korea's intent to become a leader in the data science sphere.

    Market Segmentation

    Data Science Platform Market Verticals Outlook

    • BFSI
    • healthcare
    • retail
    • IT
    • transportation

    Data Science Platform Market Deployment Outlook

    • on-demand
    • on-premises

    Data Science Platform Market Business Function Outlook

    • marketing
    • sales
    • logistics
    • human resources

    Report Scope

     

    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 4.21(USD Billion)
    MARKET SIZE 2024 5.5(USD Billion)
    MARKET SIZE 2035 29.0(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 16.316% (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 Billion
    KEY COMPANIES PROFILED SK Telecom, Samsung SDS, SAP, Accenture, Naver, Hancom, AWS, Google, Deloitte Consulting, Microsoft, Kakao, Oracle, IBM, Amobee, LG CNS
    SEGMENTS COVERED Business Function, Deployment, Verticals
    KEY MARKET OPPORTUNITIES Growing demand for AI solutions, Expansion of cloud services adoption, Increasing emphasis on data-driven decision making, Rising need for automation tools, Government support for tech innovation
    KEY MARKET DYNAMICS Growing demand for analytics skills, Increasing adoption of AI technologies, Rise in cloud-based solutions, Government support and initiatives, Expanding data generation sources
    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 Data Science Platform Market in 2024?

    The South Korea Data Science Platform Market is expected to be valued at 5.5 USD Billion in 2024.

    What is the projected market size for the South Korea Data Science Platform Market by 2035?

    By 2035, the South Korea Data Science Platform Market is anticipated to reach a valuation of 29.0 USD Billion.

    What is the expected CAGR for the South Korea Data Science Platform Market from 2025 to 2035?

    The CAGR for the South Korea Data Science Platform Market is expected to be 16.316% during the period from 2025 to 2035.

    Which business function is projected to have the largest market size in 2035?

    In 2035, the marketing business function is projected to have the largest market size at 7.2 USD Billion.

    What are some of the key players in the South Korea Data Science Platform Market?

    Major players in the market include SK Telecom, Samsung SDS, SAP, Accenture, Naver, and AWS among others.

    What is the market size for the human resources segment in 2024?

    The human resources segment of the South Korea Data Science Platform Market is valued at 2.0 USD Billion in 2024.

    How much is the logistics segment expected to be valued in 2035?

    The logistics segment is expected to be valued at 5.0 USD Billion in 2035.

    What is the expected growth rate for the sales segment from 2024 to 2035?

    The sales segment is expected to grow from 1.2 USD Billion in 2024 to 6.0 USD Billion in 2035.

    What are the primary applications of the South Korea Data Science Platform Market?

    The primary applications include marketing, sales, logistics, and human resources.

    What opportunities exist for growth in the South Korea Data Science Platform Market?

    There are significant opportunities for growth driven by advancements in AI and big data analytics.

    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 Data Science Platform Market, BY Business Function (USD Billion)
    60. marketing
    61. sales
    62. logistics
    63. human
    64. resources
    65. South Korea Data
    66. Science Platform Market, BY Deployment (USD Billion)
    67. on-demand
    68. on-premises
    69. South
    70. Korea Data Science Platform Market, BY Verticals (USD Billion)
    71. BFSI
    72. healthcare
    73. retail
    74. IT
    75. transportation
    76. Competitive Landscape
    77. Overview
    78. Competitive
    79. Analysis
    80. Market share Analysis
    81. Major
    82. Growth Strategy in the Data Science Platform Market
    83. Competitive
    84. Benchmarking
    85. Leading Players in Terms of Number of Developments
    86. in the Data Science Platform Market
    87. Key developments
    88. and growth strategies
    89. New Product Launch/Service Deployment
    90. Merger
    91. & Acquisitions
    92. Joint Ventures
    93. Major
    94. Players Financial Matrix
    95. Sales and Operating Income
    96. Major
    97. Players R&D Expenditure. 2023
    98. Company
    99. Profiles
    100. SK Telecom
    101. Financial
    102. Overview
    103. Products Offered
    104. Key
    105. Developments
    106. SWOT Analysis
    107. Key
    108. Strategies
    109. Samsung SDS
    110. Financial
    111. Overview
    112. Products Offered
    113. Key
    114. Developments
    115. SWOT Analysis
    116. Key
    117. Strategies
    118. SAP
    119. Financial
    120. Overview
    121. Products Offered
    122. Key
    123. Developments
    124. SWOT Analysis
    125. Key
    126. Strategies
    127. Accenture
    128. Financial
    129. Overview
    130. Products Offered
    131. Key
    132. Developments
    133. SWOT Analysis
    134. Key
    135. Strategies
    136. Naver
    137. Financial
    138. Overview
    139. Products Offered
    140. Key
    141. Developments
    142. SWOT Analysis
    143. Key
    144. Strategies
    145. Hancom
    146. Financial
    147. Overview
    148. Products Offered
    149. Key
    150. Developments
    151. SWOT Analysis
    152. Key
    153. Strategies
    154. AWS
    155. Financial
    156. Overview
    157. Products Offered
    158. Key
    159. Developments
    160. SWOT Analysis
    161. Key
    162. Strategies
    163. Google
    164. Financial
    165. Overview
    166. Products Offered
    167. Key
    168. Developments
    169. SWOT Analysis
    170. Key
    171. Strategies
    172. Deloitte Consulting
    173. Financial
    174. Overview
    175. Products Offered
    176. Key
    177. Developments
    178. SWOT Analysis
    179. Key
    180. Strategies
    181. Microsoft
    182. Financial
    183. Overview
    184. Products Offered
    185. Key
    186. Developments
    187. SWOT Analysis
    188. Key
    189. Strategies
    190. Kakao
    191. Financial
    192. Overview
    193. Products Offered
    194. Key
    195. Developments
    196. SWOT Analysis
    197. Key
    198. Strategies
    199. Oracle
    200. Financial
    201. Overview
    202. Products Offered
    203. Key
    204. Developments
    205. SWOT Analysis
    206. Key
    207. Strategies
    208. IBM
    209. Financial
    210. Overview
    211. Products Offered
    212. Key
    213. Developments
    214. SWOT Analysis
    215. Key
    216. Strategies
    217. Amobee
    218. Financial
    219. Overview
    220. Products Offered
    221. Key
    222. Developments
    223. SWOT Analysis
    224. Key
    225. Strategies
    226. LG CNS
    227. Financial
    228. Overview
    229. Products Offered
    230. Key
    231. Developments
    232. SWOT Analysis
    233. Key
    234. Strategies
    235. References
    236. Related
    237. Reports
    238. LIST
    239. OF ASSUMPTIONS
    240. South Korea Data Science Platform Market
    241. SIZE ESTIMATES & FORECAST, BY BUSINESS FUNCTION, 2019-2035 (USD Billions)
    242. South
    243. Korea Data Science Platform Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT,
    244. 2035 (USD Billions)
    245. South Korea Data Science Platform
    246. Market SIZE ESTIMATES & FORECAST, BY VERTICALS, 2019-2035 (USD Billions)
    247. PRODUCT
    248. LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    249. ACQUISITION/PARTNERSHIP
    250. LIST
    251. Of figures
    252. MARKET SYNOPSIS
    253. SOUTH
    254. KOREA DATA SCIENCE PLATFORM MARKET ANALYSIS BY BUSINESS FUNCTION
    255. SOUTH
    256. KOREA DATA SCIENCE PLATFORM MARKET ANALYSIS BY DEPLOYMENT
    257. SOUTH
    258. KOREA DATA SCIENCE PLATFORM MARKET ANALYSIS BY VERTICALS
    259. KEY
    260. BUYING CRITERIA OF DATA SCIENCE PLATFORM MARKET
    261. RESEARCH
    262. PROCESS OF MRFR
    263. DRO ANALYSIS OF DATA SCIENCE PLATFORM
    264. MARKET
    265. DRIVERS IMPACT ANALYSIS: DATA SCIENCE PLATFORM
    266. MARKET
    267. RESTRAINTS IMPACT ANALYSIS: DATA SCIENCE PLATFORM
    268. MARKET
    269. SUPPLY / VALUE CHAIN: DATA SCIENCE PLATFORM MARKET
    270. DATA
    271. SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION, 2025 (% SHARE)
    272. DATA
    273. SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION, 2019 TO 2035 (USD Billions)
    274. DATA
    275. SCIENCE PLATFORM MARKET, BY DEPLOYMENT, 2025 (% SHARE)
    276. DATA
    277. SCIENCE PLATFORM MARKET, BY DEPLOYMENT, 2019 TO 2035 (USD Billions)
    278. DATA
    279. SCIENCE PLATFORM MARKET, BY VERTICALS, 2025 (% SHARE)
    280. DATA
    281. SCIENCE PLATFORM MARKET, BY VERTICALS, 2019 TO 2035 (USD Billions)
    282. BENCHMARKING
    283. OF MAJOR COMPETITORS

    South Korea Data Science Platform Market Segmentation

     

     

     

    • Data Science Platform Market By Business Function (USD Billion, 2019-2035)

      • marketing
      • sales
      • logistics
      • human resources

     

    • Data Science Platform Market By Deployment (USD Billion, 2019-2035)

      • on-demand
      • on-premises

     

    • Data Science Platform Market By Verticals (USD Billion, 2019-2035)

      • BFSI
      • healthcare
      • retail
      • IT
      • transportation

     

     

     

     

     

     

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