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South Korea AI in Cybersecurity Market

ID: MRFR/ICT/57013-HCR
200 Pages
Aarti Dhapte
October 2025

South Korea AI in Cybersecurity Market Research Report By Application (Intrusion Detection, Threat Intelligence, Fraud Detection, Security Analytics, Incident Response), By Deployment Mode (Cloud-Based, On-Premises, Hybrid), By End Use (BFSI, Healthcare, Government, Retail, IT and Telecom) and By Technology (Machine Learning, Natural Language Processing, Deep Learning, Neural Networks)- Forecast to 2035

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South Korea AI in Cybersecurity Market Summary

As per MRFR analysis, the South Korea AI in Cybersecurity Market Size was estimated at 465.5 USD Million in 2024. The South Korea ai in-cybersecurity market is projected to grow from 570.24 USD Million in 2025 to 4340.0 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 22.5% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The South Korea AI in-cybersecurity market is poised for substantial growth driven by technological advancements and increasing cyber threats.

  • Investment in AI technologies is witnessing a notable surge as organizations prioritize cybersecurity solutions.
  • Collaboration between public and private sectors is enhancing the effectiveness of AI-driven cybersecurity measures.
  • Regulatory compliance is becoming a focal point, compelling businesses to adopt advanced AI tools for risk management.
  • The rising cyber threat landscape and government initiatives are key drivers propelling market expansion.

Market Size & Forecast

2024 Market Size 465.5 (USD Million)
2035 Market Size 4340.0 (USD Million)

Major Players

CrowdStrike (US), Palo Alto Networks (US), Darktrace (GB), Fortinet (US), Check Point Software Technologies (IL), IBM (US), Cisco Systems (US), McAfee (US)

South Korea AI in Cybersecurity Market Trends

The AI in Cybersecurity Market is experiencing notable growth, driven by increasing cyber threats and the need for advanced security solutions. In South Korea, the government has prioritized cybersecurity, leading to substantial investments in technology and infrastructure. This focus on enhancing digital security is evident in various sectors, including finance, healthcare, and public services. As organizations seek to protect sensitive data, the integration of artificial intelligence into cybersecurity strategies has become essential. AI technologies are being utilized to detect anomalies, predict potential threats, and automate responses, thereby improving overall security posture. Moreover, the collaboration between public and private sectors is fostering innovation within the ai in-cybersecurity market. Initiatives aimed at developing AI-driven tools and platforms are gaining traction, as companies recognize the importance of staying ahead of cybercriminals. The emphasis on research and development is likely to yield advanced solutions that can adapt to evolving threats. As South Korea continues to enhance its cybersecurity framework, the ai in-cybersecurity market is poised for further expansion, reflecting a commitment to safeguarding digital assets and maintaining national security.

Increased Investment in AI Technologies

Organizations are allocating more resources towards AI technologies to bolster their cybersecurity measures. This trend indicates a shift towards proactive security strategies, where AI systems are employed to identify and mitigate threats before they escalate.

Collaboration Between Sectors

There is a growing trend of collaboration between government entities and private companies in developing AI-driven cybersecurity solutions. This partnership aims to leverage expertise and resources, fostering innovation and enhancing the overall security landscape.

Focus on Regulatory Compliance

As regulations surrounding data protection become more stringent, businesses are increasingly adopting AI solutions to ensure compliance. This trend highlights the necessity of integrating advanced technologies to meet legal requirements and protect sensitive information.

South Korea AI in Cybersecurity Market Drivers

Growing Demand for Automation

The increasing demand for automation in cybersecurity processes is significantly influencing the ai in-cybersecurity market. Organizations in South Korea are recognizing the need to streamline their security operations to respond swiftly to threats. Automation powered by ai technologies can reduce response times and minimize human error, which is critical in mitigating potential breaches. It is estimated that by 2026, over 60% of cybersecurity tasks will be automated, underscoring the shift towards ai-driven solutions. This trend is likely to drive investments in the ai in-cybersecurity market as companies seek to enhance their operational efficiency and security effectiveness.

Rising Cyber Threat Landscape

The escalating cyber threat landscape in South Korea is a primary driver for the AI in Cybersecurity Market. With the increasing sophistication of cyberattacks, organizations are compelled to adopt advanced technologies to safeguard their digital assets. Reports indicate that cybercrime costs South Korean businesses approximately $1.2 billion annually, highlighting the urgent need for effective cybersecurity solutions. The ai in-cybersecurity market is positioned to address these challenges by providing predictive analytics and real-time threat detection capabilities. As cyber threats evolve, the demand for ai-driven solutions is likely to surge, prompting businesses to invest in innovative technologies that enhance their security posture.

Government Initiatives and Support

Government initiatives in South Korea play a crucial role in propelling the ai in-cybersecurity market. The South Korean government has launched various programs aimed at fostering innovation in cybersecurity, including funding for research and development. In 2025, the government allocated approximately $200 million to enhance national cybersecurity infrastructure, which is expected to stimulate growth in the ai in-cybersecurity market. These initiatives not only encourage private sector investment but also promote collaboration between academia and industry, leading to the development of cutting-edge ai solutions tailored for cybersecurity challenges.

Integration of AI with IoT Security

The integration of ai technologies with Internet of Things (IoT) security is emerging as a significant driver for the ai in-cybersecurity market. As South Korea continues to expand its IoT ecosystem, the need for robust security measures becomes paramount. The ai in-cybersecurity market is poised to provide solutions that can analyze vast amounts of data generated by IoT devices, identifying vulnerabilities and potential threats in real-time. With projections indicating that the number of connected devices in South Korea will reach 30 million by 2027, the demand for ai-driven security solutions tailored for IoT applications is expected to grow substantially.

Increased Awareness of Cybersecurity Risks

The heightened awareness of cybersecurity risks among businesses and consumers in South Korea is driving the ai in-cybersecurity market. As high-profile data breaches and cyber incidents make headlines, organizations are becoming more proactive in addressing their cybersecurity needs. This awareness is leading to increased investments in ai technologies that can provide advanced threat detection and response capabilities. Surveys indicate that over 70% of South Korean companies plan to enhance their cybersecurity measures in the coming years, with a significant portion of this investment directed towards ai-driven solutions. This trend suggests a robust growth trajectory for the ai in-cybersecurity market.

Market Segment Insights

South Korea AI in Cybersecurity Market Segment Insights

South Korea AI in Cybersecurity Market Segment Insights

AI in Cybersecurity Market Application Insights

AI in Cybersecurity Market Application Insights

The Application segment of the South Korea AI in Cybersecurity Market presents a vital area of focus, given the rapidly evolving threat landscape that necessitates advanced security solutions. As digital transformation accelerates across various sectors, including finance, healthcare, and government, the need for effective cybersecurity measures gains importance. Intrusion Detection plays a crucial role by leveraging AI to identify and respond to unauthorized access attempts swiftly, thereby minimizing potential damage. In parallel, Threat Intelligence harnesses machine learning algorithms to analyze and predict potential cyber threats, which helps organizations proactively safeguard their data.

Fraud Detection stands out as a significant application within finance and e-commerce, utilizing AI to identify suspicious transactions in real time, thereby protecting consumers and businesses alike. Security Analytics allows organizations to better understand their security posture through data analysis, helping in identifying areas of vulnerability and enhancing overall security strategies.

Incident Response, another critical application, utilizes AI to orchestrate responses to security incidents, allowing teams to act quickly and minimize impact.The significant growth potential in each of these areas reflects a robust South Korea AI in Cybersecurity Market landscape that emphasizes the importance of integrating AI initiatives into operational frameworks, driven by the increasing sophistication of cyber threats and the proliferation of digital services. 

As organizations across South Korea recognize the value that AI brings to cybersecurity, the growth narrative within this market segment remains strong, presenting various opportunities as well as challenges. The local government's emphasis on enhancing national cybersecurity, in conjunction with private sector innovations, establishes a conducive environment for the expansion of AI-driven cybersecurity applications, further driving market dynamics.

AI in Cybersecurity Market Deployment Mode Insights

AI in Cybersecurity Market Deployment Mode Insights

The Deployment Mode segment within the South Korea AI in Cybersecurity Market plays a crucial role in shaping the industry's landscape, reflecting the increasing reliance on advanced security measures against cyber threats. Cloud-Based deployment is significant due to its scalability and cost-effectiveness, appealing to businesses looking to enhance their cybersecurity posture without substantial upfront investments. Meanwhile, On-Premises solutions offer organizations greater control over their sensitive data and compliance with local regulations, making it a preferred option for industries like finance and healthcare, where data security is paramount.

Hybrid models, incorporating both cloud and on-premises strategies, are gaining traction as they provide the flexibility to leverage the advantages of both environments, catering to a diverse range of operational needs. The rapid digital transformation in South Korea, driven by government initiatives promoting innovation and technology, further propels the demand for these deployment modes, contributing to the overall growth and evolution of the South Korea AI in Cybersecurity Market. With increasing cyber threats and the growing need for robust cybersecurity frameworks, organizations are exploring these deployment strategies to better secure their digital assets, ensuring a proactive stance against potential breaches.

AI in Cybersecurity Market End Use Insights

AI in Cybersecurity Market End Use Insights

The South Korea AI in Cybersecurity Market is experiencing notable segmentation across various end-use industries, each playing a critical role in shaping market dynamics. The BFSI sector stands out due to its heightened need for robust security measures against increasingly sophisticated financial cyber threats. Similarly, the healthcare industry is gaining traction as it increasingly adopts AI-driven solutions to protect sensitive patient data, thus ensuring compliance with stringent regulations. 

Government authorities in South Korea are also leveraging AI for enhanced cybersecurity, intensifying their focus on national infrastructure protection.In the retail sector, the rise of e-commerce necessitates advanced security measures to safeguard consumer transactions, which represents a significant demand for AI applications. Meanwhile, the IT and Telecom industries are integral for implementing innovative cybersecurity solutions, driving the adoption of AI technologies to mitigate risks associated with data breaches and service disruptions. 

Collectively, these segments are contributing to the growth of the South Korea AI in Cybersecurity Market, reflecting a robust response to evolving security challenges across diverse sectors.This diversity in end-use applications highlights the market's adaptability and the critical role that AI plays in addressing various cybersecurity needs.

AI in Cybersecurity Market Technology Insights

AI in Cybersecurity Market Technology Insights

The Technology segment of the South Korea AI in Cybersecurity Market showcases significant advancements driven by the increasing reliance on digital infrastructures and the need for enhanced security measures. Machine Learning stands out as a crucial element, playing a vital role in identifying patterns in vast data sets, thereby enabling proactive threat detection and response.

Natural Language Processing is gaining traction for its capabilities in analyzing human language, which aids organizations in monitoring communications for potential security breaches.Deep Learning contributes to the market by allowing systems to automatically improve their security methodologies as they process more data, thus enhancing overall security measures. 

Neural Networks, meanwhile, are considered essential for their ability to simulate human brain functions, leading to better anomaly detection in cybersecurity protocols. As South Korea continues to strengthen its cybersecurity framework amidst growing digital threats, the demand for these technological innovations is expected to rise substantially, emphasizing their importance in safeguarding sensitive information and maintaining national security.This alignment between market growth and technological enhancement reflects the overall trends in the South Korea AI in Cybersecurity Market landscape.

Get more detailed insights about South Korea AI in Cybersecurity Market

Key Players and Competitive Insights

The ai in-cybersecurity market in South Korea is characterized by a rapidly evolving competitive landscape, driven by increasing cyber threats and the growing need for advanced security solutions. Major players such as CrowdStrike (US), Palo Alto Networks (US), and Darktrace (GB) are at the forefront, each adopting distinct strategies to enhance their market presence. CrowdStrike (US) emphasizes innovation through its cloud-native platform, focusing on endpoint protection and threat intelligence. Meanwhile, Palo Alto Networks (US) is strategically expanding its offerings through acquisitions, enhancing its capabilities in AI-driven security solutions. Darktrace (GB) leverages its self-learning AI technology to provide autonomous response capabilities, positioning itself as a leader in proactive cybersecurity measures. Collectively, these strategies contribute to a competitive environment that is increasingly focused on technological advancement and comprehensive security solutions.

The business tactics employed by these companies reflect a nuanced understanding of the market's dynamics. Localizing manufacturing and optimizing supply chains are critical for enhancing responsiveness to regional demands. The market structure appears moderately fragmented, with several key players exerting influence while also facing competition from emerging startups. This fragmentation allows for diverse offerings, yet the collective strength of established companies shapes the overall competitive landscape.

In October 2025, CrowdStrike (US) announced a strategic partnership with a leading South Korean telecommunications provider to enhance cybersecurity for IoT devices. This collaboration is significant as it not only expands CrowdStrike's footprint in the region but also addresses the growing vulnerabilities associated with the proliferation of connected devices. Such partnerships are likely to bolster the company's market position by integrating advanced AI capabilities into the telecommunications sector.

In September 2025, Palo Alto Networks (US) completed the acquisition of a prominent AI-driven threat detection startup based in South Korea. This move is indicative of the company's commitment to enhancing its AI capabilities and expanding its service offerings. By integrating this startup's technology, Palo Alto Networks (US) aims to provide more robust and adaptive security solutions, thereby strengthening its competitive edge in the market.

In August 2025, Darktrace (GB) launched a new AI-powered cybersecurity solution tailored specifically for the South Korean market, focusing on real-time threat detection and response. This launch underscores Darktrace's strategy of localizing its offerings to meet specific regional needs, which may enhance its appeal to South Korean enterprises. The introduction of such targeted solutions is likely to foster deeper market penetration and customer loyalty.

As of November 2025, the competitive trends in the ai in-cybersecurity market are increasingly defined by digitalization, sustainability, and the integration of AI technologies. Strategic alliances are becoming more prevalent, as companies recognize the value of collaboration in enhancing their technological capabilities. Looking ahead, competitive differentiation is expected to evolve, shifting from traditional price-based competition to a focus on innovation, advanced technology, and supply chain reliability. This transition may redefine how companies position themselves in the market, emphasizing the importance of agility and responsiveness to emerging threats.

Key Companies in the South Korea AI in Cybersecurity Market market include

Industry Developments

In July 2023, SK Telecom announced a partnership with Samsung SDS to develop advanced AI-driven security solutions aimed at addressing the rising threats in the digital space. Furthermore, in August 2023, the South Korean government emphasized its commitment to bolstering cybersecurity by allocating increased funding for Research and Development in AI technologies, reflecting a heightened focus on securing critical digital infrastructure.

In addition, AhnLab's acquisition of a cloud security startup in September 2023 has positioned the company strategically in the competitive landscape. Over the last two years, the market has experienced a compound annual growth rate of approximately 20%, driven by heightened demand for cybersecurity solutions amid an evolving threat landscape. Companies such as TmaxSoft and Duzon Bizon are also ramping up their AI capabilities. This surge in market valuation signifies a robust response to cyber threats, enhancing the security posture of enterprises across South Korea.

Future Outlook

South Korea AI in Cybersecurity Market Future Outlook

The ai in-cybersecurity market is projected to grow at a 22.5% CAGR from 2024 to 2035, driven by increasing cyber threats and demand for advanced security solutions.

New opportunities lie in:

  • Development of AI-driven threat detection platforms for real-time monitoring.
  • Integration of AI in incident response automation tools.
  • Creation of tailored AI cybersecurity training programs for enterprises.

By 2035, the market is expected to be robust, reflecting substantial advancements and investments.

Market Segmentation

South Korea AI in Cybersecurity Market End Use Outlook

  • BFSI
  • Healthcare
  • Government
  • Retail
  • IT and Telecom

South Korea AI in Cybersecurity Market Technology Outlook

  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Neural Networks

South Korea AI in Cybersecurity Market Application Outlook

  • Intrusion Detection
  • Threat Intelligence
  • Fraud Detection
  • Security Analytics
  • Incident Response

South Korea AI in Cybersecurity Market Deployment Mode Outlook

  • Cloud-Based
  • On-Premises
  • Hybrid

Report Scope

MARKET SIZE 2024 465.5(USD Million)
MARKET SIZE 2025 570.24(USD Million)
MARKET SIZE 2035 4340.0(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR) 22.5% (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 Million
Key Companies Profiled CrowdStrike (US), Palo Alto Networks (US), Darktrace (GB), Fortinet (US), Check Point Software Technologies (IL), IBM (US), Cisco Systems (US), McAfee (US)
Segments Covered Application, Deployment Mode, End Use, Technology
Key Market Opportunities Integration of advanced machine learning algorithms enhances threat detection in the ai in-cybersecurity market.
Key Market Dynamics Rising demand for advanced threat detection drives innovation in the artificial intelligence in cybersecurity market.
Countries Covered South Korea

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FAQs

What is the expected market size of the South Korea AI in Cybersecurity Market in 2024?

The South Korea AI in Cybersecurity Market is expected to be valued at 178.08 million USD in 2024.

What is the anticipated market size for the South Korea AI in Cybersecurity Market by 2035?

By 2035, the market is expected to reach a valuation of 2799.97 million USD.

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

The expected CAGR for the South Korea AI in Cybersecurity Market is 28.462% for the period from 2025 to 2035.

Which application segment is projected to dominate the South Korea AI in Cybersecurity Market?

The Intrusion Detection segment is projected to dominate, growing from 50.0 million USD in 2024 to 800.0 million USD in 2035.

What is the projected value of the Threat Intelligence segment in the South Korea AI in Cybersecurity Market by 2035?

The Threat Intelligence segment is expected to be valued at 600.0 million USD by 2035.

Who are the key players in the South Korea AI in Cybersecurity Market?

Key players include Secom, AhnLab, BigSoft, LG CNS, TmaxSoft, SK Telecom, Samsung SDS, and several others.

What is the projected market size of the Fraud Detection application in 2035?

The Fraud Detection application is projected to reach 500.0 million USD in market size by 2035.

What is the expected market value for the Security Analytics application in 2024?

The Security Analytics application is expected to be valued at 20.0 million USD in 2024.

What growth opportunities exist within the South Korea AI in Cybersecurity Market?

There are significant growth opportunities driven by increasing cyber threats and the adoption of AI technologies.

What is the estimated market size for the Incident Response application by 2035?

The Incident Response application is estimated to reach a market size of 549.97 million USD by 2035.

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