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    South Korea Synthetic Data Generation Market

    ID: MRFR/ICT/61170-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    South Korea Synthetic Data Generation Market Research Report By Component (Solution, Services), By Deployment Mode (On-Premise, Cloud), By Data Type (Tabular Data, Text Data, Image and Video Data, Others), By Application (AI Training and Development, Test Data Management, Data Sharing and Retention, Data Analytics, Others), and By Industry Vertical (BFSI, Healthcare and Life Sciences, Transportation and Logistics, Government and Defense, IT and Telecommunication, Manufacturing, Media and Entertainment, Others)-Forecast to 2035

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    South Korea Synthetic Data Generation Market Research Report-Forecast to 2035 Infographic
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    South Korea Synthetic Data Generation Market Summary

    The South Korea Synthetic Data Generation market is poised for substantial growth, projected to reach 3500 USD Million by 2035 from 750 USD Million in 2024.

    Key Market Trends & Highlights

    South Korea Synthetic Data Generation Key Trends and Highlights

    • The market is expected to grow from 750 USD Million in 2024 to 3500 USD Million by 2035.
    • A compound annual growth rate (CAGR) of 15.03 percent is anticipated from 2025 to 2035.
    • The increasing demand for data privacy and compliance is driving the adoption of synthetic data solutions.
    • Growing adoption of artificial intelligence due to the need for enhanced data security is a major market driver.

    Market Size & Forecast

    2024 Market Size 750 (USD Million)
    2035 Market Size 3500 (USD Million)
    CAGR (2025 - 2035) 15.03%

    Major Players

    Samsung Electronics (KR), SK Hynix (KR), LG Electronics (KR), Hyundai Motor Company (KR), Kia Corporation (KR), POSCO (KR), Naver Corporation (KR), Kakao Corp (KR), CJ Corporation (KR), Lotte Group (KR)

    South Korea Synthetic Data Generation Market Trends

    The market for synthetic data production in South Korea is expanding significantly due to a number of important market factors. Businesses are looking for synthetic data solutions that allow them to improve their algorithms while maintaining data privacy as a result of the quick development of artificial intelligence and machine learning technology.

    The need for synthetic datasets is being fueled, in particular, by South Korea's strong emphasis on technology development and its drive towards digital transformation in sectors like finance, healthcare, and autonomous driving.

    Furthermore, businesses are being encouraged to investigate synthetic data as a compliant substitute for raw data because to strict laws pertaining to data privacy and protection, such as the Personal Information Protection Act (PIPA).

    This market offers some noteworthy prospects for investigation. Through strategic objectives and research and development spending, the South Korean government has been encouraging artificial intelligence (AI) and creating an atmosphere that encourages innovation in data generation technologies.

    As they seek to use synthetic data for better model training and testing, this creates opportunities for cooperation between digital startups and well-established businesses. Additionally, businesses are becoming more aware of how synthetic data can improve simulation capabilities and improve decision-making.

    In South Korea, synthetic data solutions are increasingly being used in a variety of industries, according to recent developments. Organizations in the automotive and educational sectors are incorporating synthetic data to enhance their AI model training procedures.

    Additionally, there is a discernible trend toward tailoring synthetic datasets to particular industry requirements, which is essential for regional companies looking to obtain a competitive advantage. These trends' congruence with South Korea's digital projects highlights the growing contribution of synthetic data generation to the country's technological environment.

    Market Segment Insights

    South Korea Synthetic Data Generation Market Segment Insights

    South Korea Synthetic Data Generation Market Segment Insights

    Synthetic Data Generation Market Component Insights

    Synthetic Data Generation Market Component Insights

    The South Korea Synthetic Data Generation Market, particularly focusing on the Component segment, is rapidly evolving to meet the needs of diverse industries. Within this segmentation, the key areas are Solution and Services, both of which are essential for the effective deployment and management of synthetic data technologies.

    The component of Solutions incorporates various software platforms and tools designed to generate, manage, and analyze synthetic data. This is crucial as organizations strive for data-driven decision-making while adhering to privacy regulations that restrict the use of real data.

    The Solutions aspect empowers businesses to simulate a variety of scenarios, augmenting their datasets without exposing sensitive information.

    On the other hand, the Services component encompasses consultative and technical support, ensuring that organizations harness the full potential of synthetic data technologies. This includes training, implementation assistance, and ongoing maintenance, all of which are essential for successfully integrating synthetic data generation into existing infrastructures.

    Synthetic Data Generation Market Deployment Mode Insights

    Synthetic Data Generation Market Deployment Mode Insights

    The South Korea Synthetic Data Generation Market, particularly in the Deployment Mode segment, has shown significant growth and transformation in recent years. The two primary Deployment ModesOn-Premise and Cloudeach offer distinct advantages that cater to varying business needs.

    Organizations in South Korea increasingly rely on Cloud-based solutions due to their flexibility, scalability, and lower initial costs. This mode supports rapid development cycles, making it particularly appealing for businesses that heavily incorporate Artificial Intelligence and Machine Learning into their operations.

    On the other hand, On-Premise deployment remains significant for enterprises prioritizing data security and compliance concerns, especially in regulated industries like finance and healthcare. The rising need for privacy and tighter data regulations in South Korea has contributed to a notable demand for On-Premise solutions.

    Furthermore, as South Korea advances in its digital transformation journey, adoption rates for both modes are expected to rise, driven by the increasing necessity for high-quality synthetic data in scenarios like model training and testing. Thus, the deployment modes will likely continue to evolve as businesses assess their unique operational needs and external compliance landscapes.

    Synthetic Data Generation Market Data Type Insights

    Synthetic Data Generation Market Data Type Insights

    The South Korea Synthetic Data Generation Market showcases a diverse array of data types that play pivotal roles in various industries. Among these, Tabular Data stands out as a fundamental form, typically used in scenarios involving structured datasets where relationships among attributes need to be preserved.

    The increasing reliance on machine learning applications creates substantial demand for accurately synthesized tabular datasets. Text Data serves as another crucial segment, vitally supporting developments in natural language processing and AI-driven communication systems.

    This segment's growth is fueled by the surge in automation and customer interaction technologies requiring rich textual information for model training.

    Image and Video Data, on the other hand, are essential in sectors like healthcare, automotive, and security, where visual data is critical for training robust AI models. The ability to generate synthetic images and videos can mitigate real-world data limitations due to privacy concerns or scarcity, addressing significant challenges within these sectors.

    Synthetic Data Generation Market Application Insights

    Synthetic Data Generation Market Application Insights

    The South Korea Synthetic Data Generation Market reflects a robust application landscape that encompasses various critical uses such as AI Training and Development, Test Data Management, Data Sharing and Retention, Data Analytics, and others.

    The increasing need for robust artificial intelligence models has fueled the demand for synthetic data, enabling organizations to enhance the efficiency and accuracy of AI systems without compromising data privacy. Test Data Management plays a vital role, providing organizations with high-quality data sets to perform more effective testing and validation, ultimately streamlining development processes.

    Data Sharing and Retention have gained prominence as regulations around data use tighten, encouraging companies to utilize synthetic data for compliance and risk mitigation. Meanwhile, Data Analytics is becoming a cornerstone of many industries, driving demand for realistic yet non-sensitive data streams that can support informed decision-making.

    The overall South Korea Synthetic Data Generation Market segmentation continues to evolve, propelled by advancements in technology and the growing awareness of data security among enterprises.

    Synthetic Data Generation

    Synthetic Data Generation Market Vertical Insights

    The South Korea Synthetic Data Generation Market is multifaceted, reflecting an array of industry verticals that contribute to its overall dynamics and growth. The BFSI sector leverages synthetic data for enhanced fraud detection and risk assessment, facilitating robust financial services.

    Meanwhile, Healthcare and Life Sciences increasingly utilize synthetic data to drive innovations in patient care and accelerate Research and Development initiatives, addressing challenges like data privacy. Transportation and Logistics make significant use of synthetic data to optimize operations and improve delivery efficiency in urban areas.

    Government and Defense sectors rely on it for simulations and training, enhancing security measures without exposing sensitive information. The IT and Telecommunication sector adopts synthetic data for network management and testing, helping to improve services while maintaining user data privacy.

    Get more detailed insights about South Korea Synthetic Data Generation Market Research Report-Forecast to 2035

    Key Players and Competitive Insights

    The South Korea Synthetic Data Generation Market is evolving rapidly due to growing demand for innovative solutions in data management and artificial intelligence.

    As businesses increasingly rely on data-driven decision-making, synthetic data emerges as a pivotal component that enables organizations to generate vast datasets for training machine learning models while safeguarding privacy and minimizing bias.

    This market is characterized by a blend of established players and new entrants who are leveraging advanced algorithms and machine learning techniques to provide high-quality synthetic data solutions. The competitive landscape is marked by the companies' focus on technological advancements, partnerships, and strategic investments to enhance their capabilities and market reach in South Korea.

    ParallelM has carved out a significant niche in the South Korean synthetic data generation landscape through its robust offerings tailored to the unique needs of local enterprises. The company's strengths lie in its ability to rapidly generate realistic synthetic datasets that help mitigate issues related to sensitive information while ensuring compliance with data regulations.

    By providing solutions that enhance data quality and support various machine learning applications, ParallelM is fostering innovation among its clients. The company has established a solid presence in the South Korean market by collaborating with several influential organizations, which has further amplified its brand recognition and credibility in this fast-evolving sector.

    NVIDIA stands as a formidable player in the South Korea Synthetic Data Generation Market, leveraging its deep expertise in graphics processing and AI technologies. The company offers a range of key products and services, including advanced AI frameworks and simulation tools that facilitate the creation of high-fidelity synthetic data.

    NVIDIA's strengths include its powerful hardware solutions, which underpin numerous data-intensive applications, and its ability to integrate cutting-edge software to enhance user training and model performance.

    Through strategic mergers and acquisitions, NVIDIA has augmented its technology portfolio, enabling it to provide comprehensive solutions that are essential for driving advancements in artificial intelligence across various sectors within South Korea.

    The company's commitment to innovation and user engagement, coupled with its strong market presence, has positioned NVIDIA as a leader in the synthetic data space, essential for fostering growth in industries such as healthcare, finance, and autonomous driving.

    Key Companies in the South Korea Synthetic Data Generation Market market include

    Industry Developments

    NVIDIA opened a new AI facility in Seoul in June 2025, setting up more than 2,000 H100 GPUs to facilitate advanced model training and the creation of synthetic data for Korean enterprises. Finance and healthcare companies can now create datasets that protect privacy thanks to AWS's expansion of its Seoul Region in April 2025 and the integration of specific synthetic-data pipelines into SageMaker.

    Microsoft's "Azure AI for Manufacturing" effort was introduced in Korea in May 2025. The initiative uses synthetic data workflows to streamline supply chains for major automakers. To enhance diagnostic AI capabilities, Google Cloud and Seoul National University teamed in March 2025 to test synthetic-data augmentation for rare-disease imaging datasets.

    In order to facilitate smart factory transitions, AnyLogic began providing synthetic-data-driven simulation models in February 2025 that were specifically designed for South Korea's manufacturing and logistics industries. A synthetic-data toolset for Korean banks was jointly published by Fractal Analytics and IBM in January 2025, improving the strength of fraud detection models while protecting consumer privacy.

    These concerted efforts show how international AI infrastructure providers and analytics experts are giving South Korea's public and business sectors the resources and synthetic-data capabilities they need to boost AI innovation and guarantee growth that is responsible and data-driven.

    Market Segmentation

    Outlook

    • BFSI
    • Healthcare and Life Sciences
    • Transportation and Logistics
    • Government and Defense
    • IT and Telecommunication
    • Manufacturing
    • Media and Entertainment
    • Others

    Report Scope

     

    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 8.0(USD Million)
    MARKET SIZE 2024 11.7(USD Million)
    MARKET SIZE 2035 35.0(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 10.474% (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 ParallelM, NVIDIA, TIBCO Software, Synlogic, AWS, Fractal Analytics, AnyLogic, Google, Microsoft, DataRobot, SAS, IBM, Civis Analytics, H2O.ai
    SEGMENTS COVERED Component, Deployment Mode, Data Type, Application, Industry Vertical
    KEY MARKET OPPORTUNITIES Artificial Intelligence applications growth, Enhanced data privacy solutions, Demand in healthcare analytics, Advancement in machine learning models, Increasing regulatory compliance needs
    KEY MARKET DYNAMICS increased data privacy regulations, rising AI adoption, growing demand for data diversity, enhanced data quality requirements, expanding applications in various sectors
    COUNTRIES COVERED South Korea

    FAQs

    What is the expected market size of the South Korea Synthetic Data Generation Market in 2024?

    The South Korea Synthetic Data Generation Market is expected to be valued at 11.7 million USD in 2024.

    What will be the market size of the South Korea Synthetic Data Generation Market by 2035?

    By 2035, the market is projected to reach a valuation of 35.0 million USD.

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

    The expected CAGR for the South Korea Synthetic Data Generation Market from 2025 to 2035 is 10.474%.

    What is the market size for the Solutions segment within the South Korea Synthetic Data Generation Market in 2024?

    The Solutions segment is projected to be valued at 5.2 million USD in 2024.

    What is the anticipated market size for the Services segment of the South Korea Synthetic Data Generation Market in 2035?

    The Services segment is forecasted to reach 19.4 million USD by 2035.

    Who are the key players in the South Korea Synthetic Data Generation Market?

    Major players include NVIDIA, AWS, IBM, and Microsoft among others.

    What are the primary applications driving the growth of the South Korea Synthetic Data Generation Market?

    Applications include machine learning, data augmentation, and simulation environments.

    What growth trends are emerging in the South Korea Synthetic Data Generation Market?

    Emerging trends include increasing reliance on artificial intelligence and data privacy initiatives.

    How is the South Korea Synthetic Data Generation Market expected to grow regionally?

    The market is poised for significant growth across various sectors, driven by technological advancement and innovation.

    What are the challenges faced by the South Korea Synthetic Data Generation Market?

    Challenges include data quality issues and regulatory compliance in data usage.

    Report Infographic
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