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    South Korea Graph Analytics Market

    ID: MRFR/ICT/63471-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    South Korea Graph Analytics Market Research Report By Application (Fraud Detection, Social Network Analysis, Recommendation Systems, Risk Management, Knowledge Graphs), By Deployment Mode (On-Premises, Cloud-Based, Hybrid), By End User (BFSI, Retail, Telecommunications, Healthcare, Government) and By Component (Software, Services)- Forecast to 2035

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    Table of Contents

    South Korea Graph Analytics Market Summary

    Key Market Trends & Highlights

    South Korea Graph Analytics Market Trends

    The South Korea Graph Analytics Market is experiencing significant growth driven by the increasing need for data-driven decision-making across various sectors. The country’s strong focus on digital transformation, supported by government initiatives aimed at fostering innovation in information technology, is propelling the demand for graph analytics solutions. Enterprises in South Korea are increasingly recognizing the value of visualizing complex relationships within data, which aids in uncovering hidden insights for business optimization. Additionally, the growing adoption of Artificial Intelligence and Machine Learning technologies is enhancing the capabilities of graph analytics, enabling organizations to analyze vast amounts of data more effectively.

    The e-commerce sector is growing quickly, and smart cities projects are becoming more popular. These are two ways to take advantage of opportunities in the South Korean market. Graph analytics can give businesses useful information about how customers act and how well their operations run as they try to improve customer experiences and make their supply chains more efficient. Adding graph databases to these projects is a good idea for businesses that want to use data that is connected to get better results. Also, improvements in telecommunications, like the rollout of 5G, make real-time data analytics possible, which opens up even more opportunities. South Korean companies are putting more money into collaborative tools that use graph analytics to help teams connect and share data more easily.

    The growing ecosystem of startups and established players in the technology space is fostering innovation and creating a competitive landscape. This is exemplified by government support in the form of funding and incentives, aimed at accelerating the development of advanced analytics solutions. As a result, the South Korean Graph Analytics Market is set to thrive, shaped by technological advancements and increasing enterprise awareness.

    South Korea Graph Analytics Market Drivers

    Market Segment Insights

    South Korea Graph Analytics Market Segment Insights

    Graph Analytics Market Application Insights

    The South Korea Graph Analytics Market is experiencing significant growth, particularly in the Application segment, where various use cases demonstrate the versatility and value of graph analytics in driving insights and informed decision-making. One of the essential areas within this segment is Fraud Detection, which leverages the interconnected data typically found in graph formats to identify patterns and anomalies that may indicate fraudulent activities. This technology is critical for financial institutions and e-commerce platforms in South Korea to protect against increasing financial crimes. In addition, Social Network Analysis is a pivotal application that aids businesses in understanding complex relationships and interactions within their customer base, ultimately enhancing marketing strategies and user engagement. 

    Organizations are utilizing these insights to foster brand loyalty and segment their audiences effectively.Another important application is Recommendation Systems, which utilize graph analytics to analyze user behavior and preferences, thereby providing personalized experiences that increase customer satisfaction and retention. As more South Korean internet users engage with digital content, companies are finding that leveraging graph analytics for tailored recommendations significantly boosts sales and stock performance. Risk Management also plays a crucial role in the Application segment, allowing enterprises to model their risk landscape effectively by visualizing and analyzing the interconnected factors that contribute to potential risks. This is notably relevant in sectors such as insurance and logistics, where accurate risk assessment can lead to better resource allocation and strategic planning.

    Finally, Knowledge Graphs are gaining traction as they enable organizations to integrate and analyze vast amounts of data across different silos, creating a unified view that can drive core business strategies. In a tech-savvy nation like South Korea, businesses harness Knowledge Graphs to generate insights that are essential for innovation and competitive advantage. Overall, the Application segment within the South Korea Graph Analytics Market is integral not only for driving efficiencies and enhancing service delivery across various sectors but also for fostering an environment of data-driven decision-making, which is increasingly paramount in today's digital landscape.

    South Korea Graph Analytics Market Segment

    Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

    Graph Analytics Market Deployment Mode Insights

    The South Korea Graph Analytics Market is progressively evolving, particularly within the Deployment Mode segment, which encompasses On-Premises, Cloud-Based, and Hybrid configurations. This market is driven by organizations seeking to enhance data connectivity and complex relationship mapping, with the emphasis on real-time analytics. On-Premises solutions provide companies with improved data security and compliance, which is crucial in South Korea given the country's stringent data protection laws. Conversely, Cloud-Based deployments are gaining traction due to their flexibility, scalability, and lower upfront costs, which are appealing to small and medium-sized enterprises looking to leverage advanced analytics without significant investment.

    Hybrid models blend both approaches, allowing organizations to optimize their data management strategies by combining the strengths of both environments. Presently, this segment is expected to play a pivotal role in the overall growth of the South Korea Graph Analytics Market, as businesses recognize the importance of integrating robust analytic solutions to drive operational efficiencies and insights into consumer behavior, further influenced by the rise of digital transformation initiatives across industries in South Korea. As the demand for real-time data analytics grows, strategic investments are anticipated to enhance capabilities within the Deployment Mode segment, creating a competitive advantage for businesses in this dynamic market landscape.

    Graph Analytics Market End User Insights

    The South Korea Graph Analytics Market revenue demonstrates a dynamic landscape across various End User categories, including Banking, Financial Services, and Insurance (BFSI), Retail, Telecommunications, Healthcare, and Government. BFSI plays a pivotal role as it heavily relies on graph analytics for fraud detection, risk management, and customer relationship management, thus enhancing service delivery. The Retail sector is increasingly leveraging graph analytics to optimize supply chains and enhance customer experience through personalized recommendations.In Telecommunications, the ability to analyze customer networks and optimize service delivery is vital, leading to robust demand for graph analytics solutions. 

    Healthcare firms utilize these tools for patient data analysis and disease outbreak prediction, significantly improving healthcare outcomes. Moreover, the Government sector plays a crucial role in public service optimization and resource allocation through sophisticated data patterns and network connections. The growing awareness and need for advanced analytics technologies within these sectors highlight a significant opportunity for expansion in the South Korea Graph Analytics Market.Overall, the market segmentation reflects diverse applications that drive efficiency and innovation across different industries, positioning South Korea as a key player in this rapidly evolving environment.

    Graph Analytics Market Component Insights

    The South Korea Graph Analytics Market is increasingly influenced by its Component dynamics, with notable focus on Software and Services. Software plays a pivotal role in enabling businesses to harness complex data relationships, improving data visualization and operational efficiency. This segment benefits significantly from advancements in artificial intelligence and machine learning, essential for real-time data processing and insightful analytics. Meanwhile, Services complement this growth by offering essential support, custom solutions, and training tailored to specific industry needs, facilitating easier adoption and maximizing value from Graph Analytics tools.

    The increasing demand for data-driven decision-making among South Korean enterprises underscores the importance of these components in the larger analytics ecosystem. Businesses across various sectors, like finance, telecommunications, and retail, are increasingly focusing on leveraging graph analytics to enhance customer experience and optimize operations, highlighting the segment's substantial role in driving overall market growth. The continuous investment in Research and Development within this field supports innovation and the evolving landscape, demonstrating a vibrant future for both Software and Services within the South Korea Graph Analytics Market.

    Regional Insights

    Key Players and Competitive Insights

    The South Korea Graph Analytics Market is demonstrating a robust growth trajectory, driven by the increasing demand for data analysis and visualization across various industries such as finance, telecommunications, and retail. Organizations are increasingly relying on graph analytics to unveil insights from complex datasets and improve decision-making processes. The competition within this market is fierce, characterized by a mix of established vendors and emerging startups that are constantly innovating to meet the varied needs of their customers. Advances in technology, coupled with a growing emphasis on big data and artificial intelligence, are shaping the landscape of graph analytics in South Korea, making it an attractive sector for investment and development.Oracle holds a prominent position in the South Korea Graph Analytics Market, leveraging its extensive portfolio of data management solutions. 

    The company is well-known for its robust database technologies that incorporate advanced graph analytics capabilities, allowing organizations to extract valuable insights from intricate data relationships. Oracle's strengths lie in its trusted brand, established reputation, and comprehensive support infrastructure, which resonate well with enterprises looking for reliable analytics solutions. Furthermore, Oracle has invested in local partnerships and collaborations that enhance its market presence, offering tailored solutions that align with the economic landscape and regulatory framework of South Korea. The company remains committed to advancing its technology to cater to the unique requirements of its South Korean clientele.Infinera is positioning itself strategically in the South Korea Graph Analytics Market, focusing on connectivity solutions that integrate with graph analytics applications. 

    The company’s key offerings include optical transport networks and innovative software solutions designed to improve bandwidth efficiency and data processing speeds, essential for handling graph analytics at scale. Infinera's strengths in the South Korean market are underscored by its technological advancements and its ability to provide comprehensive solutions that enhance data sharing and collaboration across different sectors. The company has been active in forming strategic partnerships and collaborations with local firms to enrich its service offerings. Their commitment to innovation is evident in their ongoing development of advanced analytics tools and capabilities, which are increasingly becoming critical in supporting industry players in South Korea. Their position in this market is further solidified through mergers and acquisitions that bring in valuable resources and expertise relevant to the graph analytics space.

    Industry Developments

    In recent months, the South Korea Graph Analytics Market has experienced significant developments. Major companies such as Oracle and Google Cloud are expanding their offerings, focusing on enhanced data connectivity and advanced analytics capabilities, which are crucial for businesses leveraging big data. The market is seeing a rise in adoption across sectors, notably finance and healthcare, as organizations seek to establish robust data management frameworks. Notably, Neo4j announced partnerships in July 2023 aimed at integrating itssolutions with local enterprises to improve real-time data processing. 

    In terms of mergers and acquisitions, TmaxSoft acquired a smaller analytics firm in March 2023 to strengthen its position in the market. Samsung SDS and LG CNS are also investing heavily in research and development to innovate their graph analytics services. Additionally, the South Korean government is pushing for advancements in artificial intelligence and data analytics through various initiatives launched in the last two years, ultimately impacting the market's growth trajectory. With the increasing demand for sophisticated data visualization and analysis tools among businesses, the graph analytics sector is poised for substantial growth in this tech-savvy region.

    Market Segmentation

    Graph Analytics Market End User Outlook

    • BFSI
    • Retail
    • Telecommunications
    • Healthcare
    • Government

    Graph Analytics Market Component Outlook

    • Software
    • Services

    Graph Analytics Market Application Outlook

    • Fraud Detection
    • Social Network Analysis
    • Recommendation Systems
    • Risk Management
    • Knowledge Graphs

    Graph Analytics Market Deployment Mode Outlook

    • On-Premises
    • Cloud-Based
    • Hybrid

    Report Scope

     

    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 120.05(USD Million)
    MARKET SIZE 2024 141.75(USD Million)
    MARKET SIZE 2035 706.15(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 15.717% (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 Oracle, Infinera, TmaxSoft, Google Cloud, SAP, Neo4j, Naver Cloud, LG CNS, Hancom, IBM, Alteryx, Samsung SDS, Microsoft, Kakao Enterprise, Amazon Web Services
    SEGMENTS COVERED Application, Deployment Mode, End User, Component
    KEY MARKET OPPORTUNITIES Growing demand for social network analysis, Increased adoption in financial services, Expansion of IoT applications, Enhancements in cybersecurity solutions, Rising need for real-time data processing
    KEY MARKET DYNAMICS growing demand for data insights, increasing adoption of AI technologies, rise of social network analysis, need for real-time decision making, expansion of IoT applications
    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 Graph Analytics Market in 2024?

    The South Korea Graph Analytics Market is expected to be valued at 141.75 million USD in 2024.

    What is the projected market value for the South Korea Graph Analytics Market by 2035?

    By 2035, the market is expected to reach a value of 706.15 million USD.

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

    The expected CAGR for the South Korea Graph Analytics Market from 2025 to 2035 is 15.717%.

    Which application of graph analytics is expected to have the largest market size in 2035?

    The Recommendation Systems application is projected to have the largest market size of 175 million USD in 2035.

    What will be the market size for Fraud Detection in the South Korea Graph Analytics Market by 2035?

    The market size for Fraud Detection is expected to reach 150 million USD by 2035.

    Who are the key players in the South Korea Graph Analytics Market?

    Major players include Oracle, Google Cloud, SAP, Neo4j, and IBM among others.

    What is the estimated market value for Social Network Analysis in 2024?

    The estimated market value for Social Network Analysis in 2024 is 25 million USD.

    What is the market size for Risk Management in the South Korea Graph Analytics Market by 2035?

    The market size for Risk Management is expected to grow to 100 million USD by 2035.

    What opportunities exist in the South Korea Graph Analytics Market from 2025 to 2035?

    There are significant growth opportunities driven by increasing demand for fraud detection and recommendation systems.

    How does the South Korea Graph Analytics Market compare to global trends?

    The South Korea Graph Analytics Market is expected to grow significantly, aligning with global trends towards data-driven 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 Graph Analytics Market, BY Application (USD Million)
    60. Fraud
    61. Detection
    62. Social Network Analysis
    63. Recommendation
    64. Systems
    65. Risk Management
    66. Knowledge
    67. Graphs
    68. South Korea Graph Analytics
    69. Market, BY Deployment Mode (USD Million)
    70. On-Premises
    71. Cloud-Based
    72. Hybrid
    73. South
    74. Korea Graph Analytics Market, BY End User (USD Million)
    75. BFSI
    76. Retail
    77. Telecommunications
    78. Healthcare
    79. Government
    80. South
    81. Korea Graph Analytics Market, BY Component (USD Million)
    82. Software
    83. Services
    84. Competitive Landscape
    85. Overview
    86. Competitive
    87. Analysis
    88. Market share Analysis
    89. Major
    90. Growth Strategy in the Graph Analytics Market
    91. Competitive
    92. Benchmarking
    93. Leading Players in Terms of Number of Developments
    94. in the Graph Analytics Market
    95. Key developments and growth
    96. strategies
    97. New Product Launch/Service Deployment
    98. Merger
    99. & Acquisitions
    100. Joint Ventures
    101. Major
    102. Players Financial Matrix
    103. Sales and Operating Income
    104. Major
    105. Players R&D Expenditure. 2023
    106. Company
    107. Profiles
    108. Oracle
    109. Financial
    110. Overview
    111. Products Offered
    112. Key
    113. Developments
    114. SWOT Analysis
    115. Key
    116. Strategies
    117. Infinera
    118. Financial
    119. Overview
    120. Products Offered
    121. Key
    122. Developments
    123. SWOT Analysis
    124. Key
    125. Strategies
    126. TmaxSoft
    127. Financial
    128. Overview
    129. Products Offered
    130. Key
    131. Developments
    132. SWOT Analysis
    133. Key
    134. Strategies
    135. Google Cloud
    136. Financial
    137. Overview
    138. Products Offered
    139. Key
    140. Developments
    141. SWOT Analysis
    142. Key
    143. Strategies
    144. SAP
    145. Financial
    146. Overview
    147. Products Offered
    148. Key
    149. Developments
    150. SWOT Analysis
    151. Key
    152. Strategies
    153. Neo4j
    154. Financial
    155. Overview
    156. Products Offered
    157. Key
    158. Developments
    159. SWOT Analysis
    160. Key
    161. Strategies
    162. Naver Cloud
    163. Financial
    164. Overview
    165. Products Offered
    166. Key
    167. Developments
    168. SWOT Analysis
    169. Key
    170. Strategies
    171. LG CNS
    172. Financial
    173. Overview
    174. Products Offered
    175. Key
    176. Developments
    177. SWOT Analysis
    178. Key
    179. Strategies
    180. Hancom
    181. Financial
    182. Overview
    183. Products Offered
    184. Key
    185. Developments
    186. SWOT Analysis
    187. Key
    188. Strategies
    189. IBM
    190. Financial
    191. Overview
    192. Products Offered
    193. Key
    194. Developments
    195. SWOT Analysis
    196. Key
    197. Strategies
    198. Alteryx
    199. Financial
    200. Overview
    201. Products Offered
    202. Key
    203. Developments
    204. SWOT Analysis
    205. Key
    206. Strategies
    207. Samsung SDS
    208. Financial
    209. Overview
    210. Products Offered
    211. Key
    212. Developments
    213. SWOT Analysis
    214. Key
    215. Strategies
    216. Microsoft
    217. Financial
    218. Overview
    219. Products Offered
    220. Key
    221. Developments
    222. SWOT Analysis
    223. Key
    224. Strategies
    225. Kakao Enterprise
    226. Financial
    227. Overview
    228. Products Offered
    229. Key
    230. Developments
    231. SWOT Analysis
    232. Key
    233. Strategies
    234. Amazon Web Services
    235. Financial
    236. Overview
    237. Products Offered
    238. Key
    239. Developments
    240. SWOT Analysis
    241. Key
    242. Strategies
    243. References
    244. Related
    245. Reports
    246. LIST
    247. OF ASSUMPTIONS
    248. South Korea Graph Analytics Market SIZE
    249. ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    250. South
    251. Korea Graph Analytics Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT MODE,
    252. 2035 (USD Billions)
    253. South Korea Graph Analytics
    254. Market SIZE ESTIMATES & FORECAST, BY END USER, 2019-2035 (USD Billions)
    255. South
    256. Korea Graph Analytics Market SIZE ESTIMATES & FORECAST, BY COMPONENT, 2019-2035
    257. (USD Billions)
    258. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    259. ACQUISITION/PARTNERSHIP
    260. LIST
    261. Of figures
    262. MARKET SYNOPSIS
    263. SOUTH
    264. KOREA GRAPH ANALYTICS MARKET ANALYSIS BY APPLICATION
    265. SOUTH
    266. KOREA GRAPH ANALYTICS MARKET ANALYSIS BY DEPLOYMENT MODE
    267. SOUTH
    268. KOREA GRAPH ANALYTICS MARKET ANALYSIS BY END USER
    269. SOUTH
    270. KOREA GRAPH ANALYTICS MARKET ANALYSIS BY COMPONENT
    271. KEY
    272. BUYING CRITERIA OF GRAPH ANALYTICS MARKET
    273. RESEARCH PROCESS
    274. OF MRFR
    275. DRO ANALYSIS OF GRAPH ANALYTICS MARKET
    276. DRIVERS
    277. IMPACT ANALYSIS: GRAPH ANALYTICS MARKET
    278. RESTRAINTS IMPACT
    279. ANALYSIS: GRAPH ANALYTICS MARKET
    280. SUPPLY / VALUE CHAIN:
    281. GRAPH ANALYTICS MARKET
    282. GRAPH ANALYTICS MARKET, BY APPLICATION,
    283. (% SHARE)
    284. GRAPH ANALYTICS MARKET, BY APPLICATION,
    285. TO 2035 (USD Billions)
    286. GRAPH ANALYTICS MARKET, BY
    287. DEPLOYMENT MODE, 2025 (% SHARE)
    288. GRAPH ANALYTICS MARKET,
    289. BY DEPLOYMENT MODE, 2019 TO 2035 (USD Billions)
    290. GRAPH
    291. ANALYTICS MARKET, BY END USER, 2025 (% SHARE)
    292. GRAPH ANALYTICS
    293. MARKET, BY END USER, 2019 TO 2035 (USD Billions)
    294. GRAPH
    295. ANALYTICS MARKET, BY COMPONENT, 2025 (% SHARE)
    296. GRAPH
    297. ANALYTICS MARKET, BY COMPONENT, 2019 TO 2035 (USD Billions)
    298. BENCHMARKING
    299. OF MAJOR COMPETITORS

    South Korea Graph Analytics Market Segmentation

    • Graph Analytics Market By Application (USD Million, 2019-2035)

      • Fraud Detection
      • Social Network Analysis
      • Recommendation Systems
      • Risk Management
      • Knowledge Graphs

     

    • Graph Analytics Market By Deployment Mode (USD Million, 2019-2035)

      • On-Premises
      • Cloud-Based
      • Hybrid

     

    • Graph Analytics Market By End User (USD Million, 2019-2035)

      • BFSI
      • Retail
      • Telecommunications
      • Healthcare
      • Government

     

    • Graph Analytics Market By Component (USD Million, 2019-2035)

      • Software
      • Services

     

     

     

     

     

     

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