As per MRFR analysis, the South Korea Generative AI in Data Analytics Market Size was estimated at 0.11 (USD Million) in 2023. The South Korea Generative AI in Data Analytics Market Industry is expected to grow from 0.18(USD Million) in 2024 to 63.(USD Million) by 2035. The South Korea Generative AI in Data Analytics Market CAGR (growth rate) is expected to be around 70.379% during the forecast period (2025 - 2035).
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.
Further encouraging innovation and the creation of new AI-driven analytics solutions is the growing cooperation between startups and well-established companies. Companies are using generative AI to optimize resource allocation and energy management, demonstrating a growing interest in sustainability.
Discussions on ethical AI have also increased in the South Korean market, which has led companies to concentrate on responsible and transparent AI solutions. South Korea's dedication to developing its technological environment sets up the generative AI in data analytics market for future growth, attracting investment and innovation.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
The South Korea Generative AI in Data Analytics Market Industry is significantly driven by the increasing demand for data-driven decision-making across various sectors. According to the Ministry of Science and ICT of South Korea, there has been a 30% increase in Korean enterprises using data analytics in strategic decision-making from 2020 to 2022. This shift reflects the critical need for businesses to leverage data for competitive advantage, especially as economies become more digitized.
Major corporations such as Samsung and LG have heavily invested in Research and Development to harness the power of artificial intelligence and analytics, translating raw data into actionable insights, thereby further expanding the South Korea Generative AI in Data Analytics Market. Furthermore, with ongoing government initiatives promoting digital transformation, enterprise-level adaptation of advanced data analytics tools faster increases the potential market growth.
The South Korean government has made substantial investments in artificial intelligence technology, aiming for the country to become a global AI hub. In 2021, the government announced a budget increase of over 1.5 billion USD for AI-related initiatives.
These government policies support startups and established companies alike in integrating generative AI into data analytics. Such initiatives have facilitated the establishment of numerous AI-focused accelerators that continually churn out innovative solutions, consequently catalyzing growth in the South Korea Generative AI in Data Analytics Market.
The role of artificial intelligence in optimizing various business operations is rapidly expanding in South Korea. A report by the Korean Electronics Association indicated an increase in AI applications in sectors such as retail, finance, and healthcare, with a projected growth in AI technology utilization by 45% over the next five years.
This rapid incorporation not only enhances customer insights and operational efficiency but also fosters the evolution of the South Korea Generative AI in Data Analytics Market.As organizations like Hyundai and SK Telecom integrate AI-driven analytics into their operations, the demand for sophisticated data analysis tools continues to surge.
As businesses increasingly prioritize customer satisfaction, the need for enhanced customer experiences shapes business strategies in South Korea. A study conducted by the Korea Customer Satisfaction Index revealed that companies utilizing advanced data analytics to tailor services experienced a 20% boost in customer satisfaction ratings within three years.
This consumer-centric approach necessitates employing generative AI technologies to analyze consumer behavior and preferences, thereby expanding the South Korea Generative AI in Data Analytics Market.Notable companies such as Kakao and Naver are leading the charge in integrating these advanced technologies to improve user engagement and ultimately drive market growth.
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.
As organizations increasingly seek to harness the power of generative AI for data analytics, the Deployment segment is set to play a pivotal role in facilitating the next wave of digital transformation, aligning closely with South Korea's vision for a technologically advanced economy. As businesses navigate the complexities of data analytics, the importance of selecting the right deployment strategy cannot be overstated, as it directly impacts operational efficiency, responsiveness to market changes, and the overall success of generative AI initiatives in the country.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
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.
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.
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.
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.
| 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 |
Frequently Asked Questions (FAQ) :
The South Korea Generative AI in Data Analytics Market is expected to be valued at 0.18 million USD in 2024.
By 2035, the market is projected to reach a value of 63.19 million USD.
The expected CAGR for the market during this period is 70.379%.
The cloud-based segment is anticipated to dominate the market, with a value of 44.5 million USD by 2035.
The on-premise segment is valued at 0.08 million USD in the year 2024.
Key players in the market include Samsung SDS, SK Telecom, Naver, and LG CNS, among others.
Key applications include data management, predictive analytics, and real-time decision-making.
Opportunities include the expansion of AI technologies and increased demand for data-driven insights across industries.
Challenges may include regulatory hurdles and the need for skilled professionals in AI technology.
The global economic scenario is influencing investment trends and innovation within the South Korea Generative AI in Data Analytics Market.
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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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