• Cat-intel
  • MedIntelliX
  • Resources
  • About Us
  • Request Free Sample ×

    Kindly complete the form below to receive a free sample of this Report

    Leading companies partner with us for data-driven Insights

    clients tt-cursor
    Hero Background

    South Korea Generative Ai In Data Analytics Market

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

    Share:
    Download PDF ×

    We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

    South Korea Generative Ai In Data Analytics Market Infographic
    Purchase Options

    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.

    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

    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

    • Cloud-Based
    • On-premise

    Generative AI in Data Analytics Market Technology Outlook

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

    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

    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.

    Download Free Sample

    Kindly complete the form below to receive a free sample of this Report

    Case Study
    Chemicals and Materials