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South Korea Applied AI Market

ID: MRFR/ICT/57284-HCR
200 Pages
Aarti Dhapte
October 2025

South Korea Applied AI Market Research Report By Components (Software, Services) and By Application (Healthcare, Finance, Retail and E-commerce, Predictive maintenance, Industrial robotics, Natural Language Processing, Energy and Utilities, Agriculture, Cybersecurity, Education, Entertainment and Media, Real Estate, Transportation and Logistics, Environmental Monitoring, Human Resources, Others)- Forecast to 2035

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South Korea Applied AI Market Infographic
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South Korea Applied AI Market Summary

As per MRFR analysis, the South Korea applied AI market size was estimated at 6.29 USD Billion in 2024. The South Korea applied AI market is projected to grow from 7.88 USD Billion in 2025 to 75.29 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 25.32% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The South Korea applied AI market is experiencing robust growth driven by government initiatives and industry adoption.

  • The largest segment in the South Korea applied AI market is the healthcare sector, while the fastest-growing segment is expected to be the education sector.
  • Government initiatives are fostering a collaborative ecosystem that encourages innovation and investment in AI technologies.
  • Industry adoption of AI solutions is increasing across various sectors, indicating a shift towards automation and efficiency.
  • Technological advancements in AI and rising demand for automation are key drivers propelling market growth.

Market Size & Forecast

2024 Market Size 6.29 (USD Billion)
2035 Market Size 75.29 (USD Billion)
CAGR (2025 - 2035) 25.32%

Major Players

Google (US), Microsoft (US), IBM (US), Amazon (US), NVIDIA (US), Salesforce (US), Baidu (CN), Alibaba (CN), SAP (DE)

South Korea Applied AI Market Trends

The applied ai market in South Korea is experiencing notable growth, driven by advancements in technology and increasing demand across various sectors. The government has been actively promoting the integration of artificial intelligence into industries such as healthcare, finance, and manufacturing. This push is supported by substantial investments in research and development, which aim to enhance the country's competitive edge in the global landscape. Furthermore, the rise of smart cities and the Internet of Things (IoT) is creating new opportunities for applied ai solutions, as businesses seek to optimize operations and improve customer experiences. In addition to government initiatives, the private sector is also playing a crucial role in the expansion of the applied ai market. Companies are increasingly adopting ai technologies to streamline processes, reduce costs, and drive innovation. The collaboration between startups and established firms is fostering a vibrant ecosystem that encourages the development of cutting-edge applications. As South Korea continues to embrace digital transformation, the applied ai market is poised for further growth, with potential implications for job creation and economic development.

Government Initiatives

The South Korean government is actively investing in the applied ai market, aiming to enhance technological capabilities and foster innovation. Initiatives include funding for research projects and support for startups, which are crucial for driving advancements in various sectors.

Industry Adoption

Businesses across multiple sectors are increasingly integrating applied ai solutions to improve efficiency and enhance customer experiences. This trend reflects a growing recognition of the potential benefits that ai technologies can offer in streamlining operations.

Collaboration and Ecosystem Development

The applied ai market is witnessing a surge in collaboration between startups and established companies. This synergy is fostering an ecosystem that encourages innovation and the development of new applications, further propelling market growth.

South Korea Applied AI Market Drivers

Investment in AI Startups

Investment in AI startups is significantly influencing the applied ai market in South Korea. Venture capital funding for AI-related startups has surged, with estimates suggesting that investments reached $1.5 billion in 2025 alone. This influx of capital is fostering innovation and enabling startups to develop cutting-edge AI solutions tailored to local market needs. As these startups emerge, they contribute to a vibrant ecosystem that enhances the overall competitiveness of the applied ai market. Furthermore, established companies are increasingly collaborating with these startups, creating synergies that drive further advancements in AI technology.

Rising Demand for Automation

The increasing demand for automation in various industries is a key driver of the applied ai market in South Korea. Businesses are seeking to enhance operational efficiency and reduce costs, leading to a surge in the adoption of AI-driven solutions. According to recent data, the automation market in South Korea is projected to grow by 25% annually, with AI technologies playing a crucial role in this transformation. Industries such as manufacturing, logistics, and healthcare are particularly focused on integrating AI to streamline processes and improve productivity. This trend indicates a robust future for the applied ai market, as organizations continue to prioritize automation.

Integration of AI in Education

The integration of AI technologies in the education sector is emerging as a significant driver for the applied ai market in South Korea. Educational institutions are increasingly adopting AI tools to enhance learning experiences and improve administrative efficiency. For example, AI-driven personalized learning platforms are gaining traction, allowing educators to tailor instruction to individual student needs. The South Korean government has allocated substantial funding to promote AI in education, with projections indicating a 40% increase in AI-related educational initiatives by 2026. This trend not only supports the development of a skilled workforce but also contributes to the overall growth of the applied ai market.

Focus on Data Privacy and Ethics

The applied ai market in South Korea is also shaped by a growing emphasis on data privacy and ethical considerations. As AI technologies become more pervasive, concerns regarding data security and ethical use of AI are rising. The South Korean government has introduced regulations aimed at ensuring responsible AI deployment, which may influence market dynamics. Companies that prioritize ethical AI practices are likely to gain a competitive edge, as consumers become more discerning about data usage. This focus on ethics could potentially lead to a more sustainable applied ai market, fostering trust and encouraging broader adoption of AI technologies.

Technological Advancements in AI

The applied ai market in South Korea is experiencing rapid growth due to significant technological advancements in artificial intelligence. Innovations in machine learning, natural language processing, and computer vision are driving the development of sophisticated applications across various sectors. For instance, the South Korean government has invested approximately $2 billion in AI research and development, aiming to enhance the capabilities of local industries. This investment is expected to yield a 30% increase in AI-related job opportunities by 2027. As companies adopt these technologies, the applied ai market is likely to expand, fostering a competitive landscape that encourages further innovation and collaboration.

Market Segment Insights

By Components: Software (Largest) vs. Services (Fastest-Growing)

In the South Korea applied ai market, the distribution of market share among the components segment reveals a strong dominance of Software, which takes the lead with significant market presence. Conversely, Services is gaining rapid traction and is observed to be the fastest-growing component, attracting attention due to the increasing demand for AI implementation and support. This growth trend is primarily driven by advancements in technology, increasing investments in AI solutions, and the ubiquitous need for businesses to enhance operational efficiency. Software products are becoming integral to various industries, while the Services segment experiences a surge in demand for consultancy and tailored solutions, reflecting a broader trend of businesses seeking to leverage AI capabilities effectively.

Software (Dominant) vs. Services (Emerging)

The Software segment in the South Korea applied ai market is characterized by a robust portfolio of applications, providing essential tools for automation, analytics, and machine learning. This dominance is bolstered by continuous innovation and a shift toward cloud-based solutions. In contrast, the Services segment is emerging with a focus on customizing AI solutions to meet diverse client needs. This includes training, support, and implementation services, which play a crucial role in assisting businesses in harnessing AI technologies. As organizations increasingly recognize the transformative potential of AI, the Services segment is expanding rapidly, positioning itself as a vital complement to Software offerings.

By Organization Size: Large Enterprise (Largest) vs. Small & Medium Enterprise (Fastest-Growing)

The market share distribution in the Organization Size segment of the South Korea applied ai market reveals that Large Enterprises command a significant portion of the landscape, driven by their expansive resources and capacity for innovation. These enterprises leverage applied AI technologies to enhance their operational efficiency and competitiveness, thus capturing a larger share compared to Small & Medium Enterprises (SMEs) which are currently ramping up their utilization of AI solutions. On the other hand, Small & Medium Enterprises are emerging as the fastest-growing segment within this market. This growth is fueled by increasing affordability and accessibility of AI technologies, enabling SMEs to adopt innovative solutions that cater to their specific needs. The trend towards digital transformation has propelled these organizations to invest in AI, allowing them to compete more effectively with larger players and adapt to changing market demands.

Large Enterprise (Dominant) vs. Small & Medium Enterprise (Emerging)

In the Organization Size segment, Large Enterprises hold a dominant position due to their ample resources, advanced infrastructure, and robust investment capabilities in applied AI technologies. These organizations often lead the charge in innovation, leveraging AI to automate processes and drive efficiency across various departments. Conversely, Small & Medium Enterprises are rapidly becoming an emerging force in the South Korea applied ai market. Driven by the need for increased competitiveness, they are adopting AI solutions that are tailored for their scale and budget. This shift is characterized by a growing emphasis on agile methodologies and bespoke AI applications that address specific operational challenges, making them integral players in the market’s evolution.

By Application: Healthcare (Largest) vs. Natural Language Processing (NLP) (Fastest-Growing)

The South Korea applied ai market is witnessing a significant distribution of market share across various applications. Healthcare remains the largest segment, driven by advancements in diagnostics and patient care. Following closely are Finance and Retail and E-commerce, both experiencing notable integration of AI solutions for customer insights and fraud detection. Other segments such as Transportation and Logistics, and Cybersecurity also hold substantial shares as businesses increasingly adopt AI technologies to optimize operations and safeguard data. In terms of growth trends, Natural Language Processing (NLP) is emerging as the fastest-growing application, fueled by the demand for chatbots and voice recognition systems. The healthcare sector continues to grow rapidly as providers leverage AI to enhance service delivery, while Finance incorporates predictive analytics for improved decision-making. Overall, the demand for applied AI solutions is being propelled by the need for automation, efficiency, and the ability to analyze vast data sets effectively.

Healthcare (Dominant) vs. Natural Language Processing (NLP) (Emerging)

Healthcare is the dominant application in the South Korea applied ai market, emphasizing the use of AI in clinical diagnostics, treatment planning, and patient management. The integration of machine learning algorithms enhances patient outcomes and operational efficiency in healthcare organizations. Conversely, Natural Language Processing (NLP) is gaining traction as an emerging application, tailoring communication between machines and humans. Its growth is evident in the adoption of virtual health assistants and AI-driven customer service platforms. Both segments showcase the diverse potential of AI, with healthcare focusing on life-enhancing innovations while NLP is redefining user interaction across industries.

Get more detailed insights about South Korea Applied AI Market

Key Players and Competitive Insights

The applied ai market in South Korea is characterized by a dynamic competitive landscape, driven by rapid technological advancements and increasing demand for automation across various sectors. Major players such as Google (US), Microsoft (US), and NVIDIA (US) are strategically positioning themselves through innovation and partnerships, which collectively enhance their market presence. Google (US) focuses on integrating its AI capabilities into cloud services, while Microsoft (US) emphasizes its Azure platform to provide tailored AI solutions. NVIDIA (US) continues to lead in AI hardware, particularly in graphics processing units (GPUs), which are essential for machine learning applications. These strategies not only foster competition but also stimulate growth within the market, as companies strive to differentiate their offerings.

Key business tactics employed by these companies include localizing operations and optimizing supply chains to better serve the South Korean market. The competitive structure appears moderately fragmented, with a mix of established tech giants and emerging startups. This fragmentation allows for diverse innovation pathways, as smaller firms often introduce niche solutions that challenge the status quo. The collective influence of these key players shapes a landscape where agility and responsiveness to market needs are paramount.

In October 2025, Google (US) announced a partnership with a leading South Korean telecommunications company to enhance AI-driven customer service solutions. This collaboration aims to leverage Google's AI technologies to improve user experience and operational efficiency in the telecommunications sector. The strategic importance of this move lies in its potential to solidify Google's foothold in a rapidly evolving market, where customer expectations for personalized services are on the rise.

In September 2025, Microsoft (US) unveiled a new AI initiative focused on sustainability, aiming to reduce carbon emissions through intelligent resource management. This initiative aligns with global trends towards environmental responsibility and positions Microsoft (US) as a leader in integrating AI with sustainability efforts. The strategic significance of this initiative is profound, as it not only addresses pressing environmental concerns but also appeals to a growing segment of eco-conscious consumers and businesses.

In August 2025, NVIDIA (US) launched a new AI platform specifically designed for the South Korean automotive industry, targeting advancements in autonomous driving technologies. This strategic move is crucial as it taps into the burgeoning demand for smart mobility solutions in the region. By focusing on the automotive sector, NVIDIA (US) not only diversifies its application of AI but also strengthens its partnerships with local manufacturers, thereby enhancing its competitive edge.

As of November 2025, current trends in the applied ai market are heavily influenced by digitalization, sustainability, and the integration of AI across various industries. Strategic alliances are increasingly shaping the competitive landscape, as companies recognize the value of collaboration in driving innovation. Looking ahead, competitive differentiation is likely to evolve from traditional price-based competition to a focus on technological innovation, reliability in supply chains, and the ability to deliver tailored solutions. This shift underscores the importance of agility and responsiveness in a market that is continuously changing.

Key Companies in the South Korea Applied AI Market market include

Industry Developments

The government's commitment to expanding compute power was demonstrated in February 2025 when it revealed intentions to acquire 10,000 GPUs to create a national AI computing centre.The establishment of the K-Humanoid Alliance in April 2025, which includes top colleges like KAIST and Seoul National University and large companies like LG and Doosan, signalled a concerted attempt to create sophisticated humanoid AI robots by 2028.

Additionally, in May 2025, SK Group and Amazon Web Services announced a USD 5 billion joint venture to build the biggest AI data centre in the nation in Ulsan, with construction scheduled to start in September 2025. The government unveiled a ₩1.2 trillion investment plan earlier in May 2024 to advance cloud and AI capabilities related to manufacturing.

In September 2024, the National AI Committee was established to guide AI strategy in both the public and commercial sectors. These actions align with significant business plans by Samsung, Hyundai, and LG to create autonomous robotics, AI processors, and spatial intelligence systems.

When taken as a whole, these collaborations, strategic investments, and infrastructure development projects show a national strategy to establish South Korea as a leader in applied artificial intelligence worldwide.

South Korea Applied AI

Future Outlook

South Korea Applied AI Market Future Outlook

The applied AI market is projected to grow at a 25.32% CAGR from 2024 to 2035, driven by advancements in machine learning, data analytics, and automation technologies.

New opportunities lie in:

  • Development of AI-driven predictive maintenance solutions for manufacturing sectors.
  • Integration of AI in personalized healthcare applications to enhance patient outcomes.
  • Creation of AI-based cybersecurity systems to protect sensitive data and infrastructure.

By 2035, the applied AI market is expected to achieve substantial growth, positioning itself as a leader in technological innovation.

Market Segmentation

South Korea Applied AI Market Components Outlook

  • Software
  • Services

South Korea Applied AI Market Application Outlook

  • Healthcare
  • Finance
  • Retail and E-commerce
  • Predictive Maintenance
  • Industrial Robotics
  • Natural Language Processing (NLP)
  • Energy and Utilities
  • Agriculture
  • Cybersecurity
  • Education
  • Entertainment and Media
  • Real Estate
  • Transportation and Logistics
  • Environmental Monitoring
  • Human Resources
  • Others

South Korea Applied AI Market Organization Size Outlook

  • Small & Medium Enterprise
  • Large Enterprise

Report Scope

MARKET SIZE 2024 6.29(USD Billion)
MARKET SIZE 2025 7.88(USD Billion)
MARKET SIZE 2035 75.29(USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR) 25.32% (2024 - 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 Google (US), Microsoft (US), IBM (US), Amazon (US), NVIDIA (US), Salesforce (US), Baidu (CN), Alibaba (CN), SAP (DE)
Segments Covered Components, Organization Size, Application
Key Market Opportunities Integration of advanced machine learning in local industries enhances efficiency and drives innovation in the applied ai market.
Key Market Dynamics Rapid advancements in technology drive competitive forces in the applied AI market, reshaping local industry dynamics.
Countries Covered South Korea

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FAQs

What is the expected market size of the South Korea Applied AI Market by 2024?

The South Korea Applied AI Market is anticipated to be valued at approximately 5.23 USD Billion by the year 2024.

What will be the market size of the South Korea Applied AI Market in 2035?

By 2035, the South Korea Applied AI Market is projected to reach a valuation of around 18.0 USD Billion.

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

The South Korea Applied AI Market is expected to grow at a CAGR of 11.889% during the period from 2025 to 2035.

What are the key players in the South Korea Applied AI Market?

Major competitors in the South Korea Applied AI Market include companies such as Samsung Electronics, LG Electronics, and SK Telecom among others.

What is the projected market value for software within the South Korea Applied AI Market in 2024?

The software segment of the South Korea Applied AI Market is expected to be valued at around 2.12 USD Billion in 2024.

What will be the market value for services in the South Korea Applied AI Market by 2035?

The services segment is projected to reach a valuation of 10.75 USD Billion by the year 2035.

What are the growth opportunities in the South Korea Applied AI Market?

Significant growth opportunities exist in sectors such as healthcare, automotive, and finance within the South Korea Applied AI Market.

What challenges does the South Korea Applied AI Market currently face?

Current challenges in the South Korea Applied AI Market include data security issues and the need for skilled workforce in AI technologies.

How have advancements in technology impacted the South Korea Applied AI Market?

Advancements in technology have been driving innovation and adoption in the South Korea Applied AI Market, enhancing its growth prospects.

What trends are emerging in the South Korea Applied AI Market?

Emerging trends in the South Korea Applied AI Market include increased automation, improved machine learning algorithms, and application-specific AI solutions.

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