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South Korea AI in Cybersecurity Market

ID: MRFR/ICT/57013-HCR
200 Pages
Aarti Dhapte
February 2026

South Korea AI in Cybersecurity Market Size, Share and 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)- Industry Forecast to 2035

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South Korea AI in Cybersecurity Market Summary

As per Market Research Future 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% 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)
CAGR (2025 - 2035) 22.5%

Major Players

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

Our Impact
Enabled $4.3B Revenue Impact for Fortune 500 and Leading Multinationals
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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

By Application: Threat Intelligence (Largest) vs. Intrusion Detection (Fastest-Growing)

In the South Korea AI in Cybersecurity Market, the application segment showcases significant diversity. Threat Intelligence holds a substantial share, driven by organizations' needs to proactively identify potential threats and vulnerabilities. This has placed it at the forefront of the sector, while Intrusion Detection is rapidly gaining ground due to increasing cyber attack sophistication, making it the fastest-growing area of focus. Current growth trends indicate a robust push towards Artificial Intelligence and Machine Learning integration across applications. Enhanced automation in fraud detection and security analytics is seen as vital for modern security strategies. Furthermore, organizations are increasingly recognizing the importance of incident response mechanisms to minimize damage post-breach, propelling investment in this domain significantly.

Threat Intelligence: Dominant vs. Intrusion Detection: Emerging

Threat Intelligence serves as the dominant application in the South Korea ai in-cybersecurity market, offering robust solutions that allow organizations to anticipate and mitigate potential security incidents through proactive data analysis. Companies leverage threat intelligence platforms to gain a comprehensive view of the threat landscape, enhancing their defensive strategies. On the other hand, Intrusion Detection is poised to emerge as a critical player, utilizing advanced algorithms and real-time data monitoring to detect and respond to potential breaches promptly. As cyber threats evolve, both applications are increasingly complemented by AI-driven capabilities, ensuring they remain relevant and effective in protecting sensitive information.

By Deployment Mode: Cloud-Based (Largest) vs. On-Premises (Fastest-Growing)

In the South Korea ai in-cybersecurity market, the distribution among deployment modes highlights Cloud-Based solutions as the largest segment, capturing a significant portion of the market share due to their scalability and flexibility. On-Premises solutions, while traditionally more established, are increasingly gaining traction as organizations prioritize data control and security compliance, narrowing the competitive landscape. The growth trends reflect a clear shift towards Hybrid deployment models, which blend the benefits of both Cloud-Based and On-Premises strategies. This hybrid approach is driven by organizations seeking a balance between flexibility and security, leading to increased investment in integrated systems that leverage the strengths of each type. The demand for robust cybersecurity measures further fuels the acceleration of these deployment modes as businesses adapt to evolving threats.

Cloud-Based (Dominant) vs. On-Premises (Emerging)

Cloud-Based deployment is characterized by its ease of scalability and reduced infrastructure costs, making it the dominant choice for many organizations in the South Korea ai in-cybersecurity market. This segment's strength lies in its ability to provide real-time updates and threat intelligence capabilities, which are critical in combating cyber threats. In contrast, On-Premises solutions are emerging as businesses become more cautious about data privacy and regulatory compliance. While historically seen as less flexible, they offer greater control over sensitive information and are increasingly being integrated with AI-driven tools to enhance security measures. As enterprises strive to fortify their defenses, both deployment modes will play pivotal roles in shaping the future landscape of cybersecurity.

By End Use: BFSI (Largest) vs. Healthcare (Fastest-Growing)

The market share distribution within the South Korea ai in-cybersecurity market reveals that the BFSI sector holds significant dominance, driven by its extensive reliance on AI technologies for fraud detection, risk management, and compliance. This sector's robust investments in cybersecurity solutions establish it as a formidable player, while healthcare follows closely, characterized by its rapid digital transformation in patient data management and telemedicine services. Emerging as a key focus, healthcare's increasing budget allocations for cybersecurity signify a competitive landscape. In terms of growth trends, the healthcare sector is projected to be the fastest-growing segment, propelled by heightened awareness of data protection regulations and the vulnerabilities associated with electronic health records. The BFSI sector, although established, continues to grow steadily, driven by ongoing advancements in AI algorithms and the need for adaptive security measures to counter sophisticated cyber threats. These dynamics underscore the evolving nature of end-use sectors and highlight areas for strategic investments in cybersecurity solutions.

BFSI (Dominant) vs. Healthcare (Emerging)

The BFSI segment in the South Korea ai in-cybersecurity market stands as a dominant force, characterized by its significant commitment to safeguarding vast amounts of sensitive financial data through advanced AI-driven security measures. With comprehensive regulatory compliance requirements, this sector focuses heavily on deploying robust cybersecurity frameworks that ensure data integrity and customer trust. On the other hand, the healthcare segment is emerging rapidly, reflecting a shift towards utilizing AI for enhancing data security in medical records and patient care processes. The integration of AI technologies in healthcare not only helps in addressing compliance challenges but also improves the overall efficiency of safeguarding personal health information, thus making it a pivotal area for growth in cybersecurity investments.

By Technology: Machine Learning (Largest) vs. Natural Language Processing (Fastest-Growing)

The South Korea ai in-cybersecurity market showcases an intricate distribution among various technological segments. Machine Learning holds the largest share, driven by its robust applications in threat detection and predictive analytics. In contrast, Natural Language Processing has emerged rapidly, gaining traction for its ability to interpret and respond to unstructured data, particularly in threat intelligence and user behavior analysis. Current growth trends indicate a surge in the adoption of Machine Learning, attributed to increasing cyber threats and demands for proactive security measures. Meanwhile, Natural Language Processing is marked as the fastest-growing segment, influenced by advancements in conversational AI and real-time data processing capabilities. The rising complexities of cyber-attacks fuel the need for innovative solutions, setting the stage for technological evolution in this arena.

Technology: Machine Learning (Dominant) vs. Natural Language Processing (Emerging)

In the South Korea ai in-cybersecurity market, Machine Learning stands as the dominant force, leveraging algorithms to analyze vast data sets for quicker decision-making and improved cybersecurity protocols. This technology excels in identifying patterns and anomalies, allowing organizations to respond swiftly to potential threats. Conversely, Natural Language Processing is emerging as a significant force, specializing in the analysis of human language data and enhancing user interaction with cybersecurity systems. As enterprises increasingly focus on integrating conversational interfaces and automated responses, the demand for Natural Language Processing is rapidly increasing, marking it as a crucial component in future cybersecurity frameworks.

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 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 2025 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% (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 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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