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APAC AI in Cybersecurity Market

ID: MRFR/ICT/57020-HCR
200 Pages
Aarti Dhapte
October 2025

APAC 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), By Technology (Machine Learning, Natural Language Processing, Deep Learning, Neural Networks) and By Regional (China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC)- Forecast to 2035

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APAC AI in Cybersecurity Market Summary

As per MRFR analysis, the APAC ai in-cybersecurity market Size was estimated at 7.5 USD Billion in 2024. The APAC ai in-cybersecurity market is projected to grow from 9.13 USD Billion in 2025 to 65.25 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 21.73% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The APAC AI in-cybersecurity market is experiencing robust growth driven by technological advancements and increasing cyber threats.

  • The integration of AI with existing security systems is becoming a prevalent trend across the APAC region.
  • China remains the largest market for AI in cybersecurity, while India is recognized as the fastest-growing region in this sector.
  • Investment in AI-driven threat intelligence is gaining momentum as organizations seek to enhance their security posture.
  • The rising cyber threat landscape and regulatory pressures are key drivers propelling the demand for advanced cybersecurity solutions.

Market Size & Forecast

2024 Market Size 7.5 (USD Billion)
2035 Market Size 65.25 (USD Billion)

Major Players

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

APAC AI in Cybersecurity Market Trends

The ai in-cybersecurity market is experiencing notable growth, driven by the increasing sophistication of cyber threats and the rising demand for advanced security solutions. In the APAC region, organizations are increasingly adopting artificial intelligence technologies to enhance their cybersecurity measures. This trend is largely influenced by the need for real-time threat detection and response capabilities, which traditional security measures often struggle to provide. As cybercriminals become more adept at exploiting vulnerabilities, businesses are compelled to invest in innovative solutions that leverage AI to protect sensitive data and maintain operational integrity. Moreover, the regulatory landscape in APAC is evolving, with governments emphasizing the importance of cybersecurity. This has led to increased funding and support for initiatives aimed at bolstering the ai in-cybersecurity market. Companies are now more inclined to collaborate with technology providers to integrate AI-driven tools into their existing security frameworks. The focus on compliance and risk management is likely to further propel the adoption of AI technologies, as organizations seek to mitigate potential threats and safeguard their digital assets. Overall, the ai in-cybersecurity market is poised for continued expansion, reflecting the growing recognition of AI's role in enhancing cybersecurity resilience.

Integration of AI with Existing Security Systems

Organizations are increasingly integrating AI technologies with their current cybersecurity frameworks. This trend allows for enhanced threat detection and response capabilities, enabling businesses to better manage risks and protect sensitive information.

Focus on Regulatory Compliance

As governments in APAC strengthen cybersecurity regulations, businesses are prioritizing compliance. This focus drives the adoption of AI solutions that help organizations meet regulatory requirements while improving their overall security posture.

Investment in AI-Driven Threat Intelligence

There is a growing emphasis on AI-driven threat intelligence solutions within the ai in-cybersecurity market. Organizations are investing in these technologies to gain insights into potential threats and proactively defend against cyber attacks.

APAC AI in Cybersecurity Market Drivers

Rising Cyber Threat Landscape

The escalating frequency and sophistication of cyber threats in APAC is a primary driver for the ai in-cybersecurity market. As organizations face an increasing number of cyberattacks, the demand for advanced security solutions has surged. Reports indicate that cybercrime costs in APAC are projected to reach $1 trillion by 2025, highlighting the urgent need for effective cybersecurity measures. AI technologies are being integrated into security frameworks to enhance threat detection and response capabilities. This trend is likely to continue as businesses recognize the necessity of adopting AI-driven solutions to safeguard their digital assets against evolving threats.

Regulatory Pressures and Compliance

Regulatory pressures surrounding data protection and cybersecurity are intensifying in APAC, influencing the ai in-cybersecurity market. Governments are implementing stricter regulations to safeguard consumer data, compelling organizations to adopt advanced security measures. Compliance with these regulations often necessitates the use of AI-driven solutions that can efficiently manage and protect sensitive information. As regulatory frameworks evolve, the demand for AI technologies that ensure compliance is expected to rise, creating opportunities for growth within the industry.

Demand for Real-Time Threat Detection

The need for real-time threat detection is becoming increasingly critical in APAC, propelling the ai in-cybersecurity market forward. Organizations are seeking solutions that can provide immediate insights into potential security breaches, allowing for swift action to mitigate risks. AI technologies, with their ability to analyze vast amounts of data in real-time, are well-positioned to meet this demand. As businesses strive to enhance their security posture, the integration of AI into threat detection systems is likely to become a standard practice, further driving market growth.

Increased Investment in Cybersecurity

Investment in cybersecurity is witnessing a significant uptick across APAC, driven by the growing recognition of the importance of protecting sensitive data. The ai in-cybersecurity market is benefiting from this trend, as organizations allocate larger budgets towards advanced security technologies. In 2025, it is estimated that spending on cybersecurity in APAC will exceed $30 billion, with a substantial portion directed towards AI-based solutions. This influx of capital is expected to foster innovation and development within the industry, enabling the creation of more sophisticated AI tools that can effectively combat cyber threats.

Growing Awareness of Cybersecurity Risks

There is a growing awareness of cybersecurity risks among businesses in APAC, which is significantly impacting the ai in-cybersecurity market. As organizations become more cognizant of the potential consequences of cyber threats, they are increasingly prioritizing cybersecurity investments. Educational initiatives and high-profile cyber incidents have contributed to this heightened awareness, prompting companies to seek AI-driven solutions that offer enhanced protection. This shift in mindset is likely to sustain the momentum of the ai in-cybersecurity market, as more organizations recognize the necessity of robust cybersecurity measures.

Market Segment Insights

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

In the APAC ai in-cybersecurity market, Intrusion Detection holds the largest market share, reflecting its critical role in safeguarding digital assets from unauthorized access and breaches. Meanwhile, Threat Intelligence is rapidly gaining traction among organizations as cyber threats evolve, positioning it as the fastest-growing segment in this landscape. Organizations are increasingly investing in solutions that provide real-time threat data and insights to enhance their defenses against sophisticated attacks. Growth trends for these segments are largely driven by the rising frequency of cyberattacks and a global shift towards digital transformation. Businesses are prioritizing proactive cybersecurity measures, making Intrusion Detection essential for maintaining security postures. Simultaneously, the demand for actionable threat intelligence is intensifying, resulting from an increased need for organizations to anticipate and mitigate potential threats before they escalate into incidents.

Intrusion Detection (Dominant) vs. Incident Response (Emerging)

Intrusion Detection is a dominant force in the APAC ai in-cybersecurity market, focusing on identifying and alerting organizations of potential security breaches in real-time. This segment's robust capabilities allow organizations to intercept unauthorized access attempts effectively, combining machine learning algorithms with analytics to improve threat detection accuracy. On the other hand, Incident Response is emerging as a critical component as it complements Intrusion Detection by providing organizations with the tools and strategies needed to manage and mitigate cyber incidents swiftly. The integration of AI in Incident Response enhances the speed and efficacy of addressing breaches, facilitating quicker recovery and minimizing damage. These two segments together form a comprehensive approach to cybersecurity, addressing both prevention and reaction.

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

In the APAC ai in-cybersecurity market, the distribution of deployment modes reveals that Cloud-Based solutions currently hold the largest market share. This segment benefits from the increasing adoption of cloud technologies, offering scalability and flexibility to organizations. On-Premises solutions, while traditional, have been gaining traction among enterprises that prioritize security and control over their infrastructure. The Hybrid model remains relevant as companies look for a balanced approach to deployment. Growth trends indicate a robust future for the Cloud-Based segment as organizations seek efficient cybersecurity solutions that minimize costs and improve response times. The On-Premises segment is seeing rapid growth, driven by heightened concerns over data security and regulatory compliance. Hybrid solutions are increasingly favored by businesses looking to leverage the strengths of both cloud and on-premises capabilities, ensuring robust security while maintaining operational efficiency.

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

The Cloud-Based segment is characterized by its dominance in the APAC ai in-cybersecurity market, driven by the desire for automated, scalable deployments with lower overhead costs. It appeals to organizations that prefer flexibility and reduced maintenance burdens. Conversely, the On-Premises segment is emerging strongly, favored by businesses that require stringent data governance and customized security configurations. This shift is influenced by the rising number of cyber threats and the need for enhanced control over sensitive data. The Hybrid approach is also gaining popularity as it combines the benefits of both deployment types, catering to a diverse range of organizational needs.

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

In the segment of End Use within the ai in-cybersecurity market, the Banking, Financial Services, and Insurance (BFSI) sector dominates with the largest share, owing to its critical need for advanced security measures. The market distribution reveals that BFSI constitutes a significant portion of the overall market, driven by increasing digital transactions and the necessity to safeguard sensitive financial data. In contrast, the Healthcare sector, while not as large, is recognized as the fastest-growing segment due to the rising digitalization of healthcare services and an urgent demand for protecting patient data and health information against cyber threats. The growth trends for these segments are largely influenced by evolving cyber threats and regulatory requirements. BFSI is bolstered by investments in robust cybersecurity frameworks to mitigate risks, while Healthcare is experiencing rapid growth thanks to innovations in telehealth and electronic health records. This shift presents unique challenges in safeguarding sensitive information, leading to increased adoption of ai-driven cybersecurity solutions across these sectors.

BFSI (Dominant) vs. Healthcare (Emerging)

The BFSI sector plays a vital role in the ai in-cybersecurity market, serving as the dominant force due to its critical nature and significant investments in cybersecurity to secure financial transactions and sensitive customer data. With a comprehensive approach to threat detection and prevention, BFSI organizations are increasingly leveraging ai technologies to combat sophisticated cyber threats. On the other hand, the Healthcare sector is emerging as a prominent player, driven by the urgency to protect health data and comply with stringent regulations. The rapid adoption of digital health solutions, such as telemedicine and patient management systems, propels the demand for advanced ai cybersecurity solutions, making it a key focus area for future growth.

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

In the APAC ai in-cybersecurity market, Machine Learning holds the largest market share, driven by its robust applications in threat detection and prevention. It leverages advanced algorithms to analyze vast amounts of data, identifying potential vulnerabilities and attacks with impressive accuracy. Natural Language Processing, while smaller in share, is the fastest-growing segment as organizations increasingly seek to enhance user interaction and automate security tasks through intelligent chatbots and automated reporting. As threats become more sophisticated, the demand for innovative technologies like Deep Learning and Neural Networks is also on the rise. Deep Learning is gaining traction for its unparalleled capability to process complex datasets, while Neural Networks are becoming essential in predictive analytics and anomaly detection. The growth in cloud adoption and digital transformation initiatives in various sectors further fuels this growth, establishing a strong competitive landscape for these technologies.

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

Machine Learning stands as the dominant technology in the APAC ai in-cybersecurity market, with its unparalleled efficiency in processing and analyzing large datasets for real-time threat identification. This technology enables organizations to automate their security measures effectively, significantly reducing response times to potential threats. On the other hand, Natural Language Processing, characterized by its ability to understand and interact with human language, is emerging as a crucial tool for enhancing cybersecurity communication and user engagement. It supports automated threat reporting and improves user experience in security software. The integration of both technologies is anticipated to create a more cohesive and efficient cybersecurity ecosystem, catering to the evolving demands of businesses across the region.

Get more detailed insights about APAC AI in Cybersecurity Market

Regional Insights

China : Rapid Growth and Innovation Hub

China holds a commanding 2.5% market share in the AI in-cybersecurity sector, driven by robust government initiatives and increasing cyber threats. The demand for advanced cybersecurity solutions is fueled by the rapid digital transformation across industries, including finance and e-commerce. Regulatory policies, such as the Cybersecurity Law, promote data protection and compliance, while significant investments in infrastructure bolster the market's growth potential. The industrial development in tech hubs like Shenzhen and Beijing further enhances the demand for AI-driven security solutions.

India : Strong Demand and Investment Growth

India's AI in-cybersecurity market is valued at 1.5%, reflecting a surge in demand driven by increasing cyber threats and digitalization across sectors. The government's Digital India initiative encourages investments in cybersecurity infrastructure, while regulatory frameworks like the Personal Data Protection Bill aim to enhance data security. The growing startup ecosystem in cities like Bengaluru and Hyderabad is also contributing to innovative cybersecurity solutions, catering to both local and global markets.

Japan : Focus on Advanced Solutions

Japan's market share in AI in-cybersecurity stands at 1.2%, supported by a strong emphasis on technological innovation and a proactive approach to cybersecurity. The government has implemented policies to enhance national security, including the Cybersecurity Strategy, which promotes collaboration between public and private sectors. The demand for AI-driven solutions is particularly high in sectors like manufacturing and finance, where data protection is critical due to the increasing digitization of operations.

South Korea : Government Support and Industry Growth

South Korea's AI in-cybersecurity market is valued at 1.0%, driven by a strong regulatory framework and government support for cybersecurity initiatives. The Cybersecurity Act mandates organizations to adopt advanced security measures, fostering a culture of compliance. Key cities like Seoul and Busan are emerging as cybersecurity hubs, attracting major players like IBM and Cisco. The competitive landscape is characterized by a mix of local startups and established global firms, focusing on sectors such as finance and telecommunications.

Malaysia : Investment in Digital Security

Malaysia's market share in AI in-cybersecurity is 0.5%, reflecting a growing awareness of cybersecurity threats among businesses. The government has launched initiatives like the National Cyber Security Strategy to enhance the country's cybersecurity posture. Demand is increasing in sectors such as finance and healthcare, where data protection is paramount. The competitive landscape includes both local firms and international players, with Kuala Lumpur being a key market for cybersecurity solutions.

Thailand : Focus on Compliance and Protection

Thailand's AI in-cybersecurity market is valued at 0.4%, driven by increasing cyber threats and a focus on regulatory compliance. The government has introduced the Cybersecurity Act to enhance data protection across industries. Key markets include Bangkok and Chiang Mai, where businesses are increasingly investing in cybersecurity solutions. The competitive landscape features both local and international players, with a growing emphasis on sectors like finance and e-commerce.

Indonesia : Rising Demand and Investment

Indonesia's market share in AI in-cybersecurity is 0.3%, reflecting a burgeoning demand for cybersecurity solutions amid rapid digital transformation. The government is promoting cybersecurity through initiatives like the National Cybersecurity Strategy, which aims to protect critical infrastructure. Key cities such as Jakarta and Surabaya are witnessing increased investments in cybersecurity technologies. The competitive landscape includes both local startups and global firms, focusing on sectors like finance and telecommunications.

Rest of APAC : Varied Market Dynamics Across Regions

The Rest of APAC holds a market share of 0.6% in AI in-cybersecurity, characterized by diverse market dynamics and varying levels of cybersecurity maturity. Countries in this sub-region are increasingly recognizing the importance of cybersecurity, driven by rising cyber threats and regulatory pressures. The competitive landscape includes a mix of local and international players, with key sectors such as finance, healthcare, and government driving demand for advanced cybersecurity solutions. Each country presents unique challenges and opportunities for market players.

APAC AI in Cybersecurity Market Regional Image

Key Players and Competitive Insights

The ai in-cybersecurity market is currently characterized by intense competition and rapid innovation, driven by the increasing sophistication of cyber threats and the growing demand 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 positioning. CrowdStrike (US) emphasizes its cloud-native platform, focusing on endpoint protection and threat intelligence, while Palo Alto Networks (US) leverages its extensive portfolio to integrate AI capabilities across its security offerings. Darktrace (GB), known for its self-learning AI technology, positions itself as a leader in autonomous response solutions, thereby shaping a competitive landscape that prioritizes innovation and adaptability.

The business tactics employed by these companies reflect a concerted effort to optimize operations and enhance customer engagement. Localizing manufacturing and supply chain optimization are becoming increasingly relevant as companies seek to mitigate risks associated with global supply chain disruptions. The market structure appears moderately fragmented, with a mix of established players and emerging startups, collectively influencing the competitive dynamics through strategic partnerships and technological advancements.

In October 2025, CrowdStrike (US) announced a strategic partnership with a leading telecommunications provider to enhance its threat detection capabilities. This collaboration is expected to leverage the telecom's extensive network data, thereby improving the accuracy and speed of threat identification. Such partnerships are crucial as they enable CrowdStrike (US) to expand its reach and integrate its solutions more deeply into existing infrastructures, ultimately enhancing its competitive edge.

In September 2025, Palo Alto Networks (US) launched a new AI-driven security platform aimed at small and medium-sized enterprises (SMEs). This initiative reflects a strategic pivot to address the unique security challenges faced by SMEs, which often lack the resources for comprehensive cybersecurity measures. By tailoring solutions to this segment, Palo Alto Networks (US) not only broadens its customer base but also positions itself as a more accessible option in the cybersecurity landscape.

In August 2025, Darktrace (GB) unveiled a significant upgrade to its AI algorithms, enhancing its autonomous response capabilities. This upgrade is particularly noteworthy as it allows organizations to respond to threats in real-time without human intervention, thereby reducing response times and potential damage. Darktrace's (GB) focus on self-learning AI continues to differentiate it in a crowded market, suggesting a trend towards more automated and intelligent security solutions.

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 shaping the landscape, enabling companies to pool resources and expertise to tackle complex security challenges. Looking ahead, competitive differentiation is likely to evolve, with a shift from price-based competition to a focus on innovation, technological advancement, and supply chain reliability. This transition underscores the importance of agility and responsiveness in a rapidly changing threat environment.

Key Companies in the APAC AI in Cybersecurity Market market include

Industry Developments

The APAC AI in Cybersecurity Market continues to experience significant advancements and changes. In recent developments, companies like Trend Micro and Darktrace have been enhancing their solutions to better combat cyber threats, focusing on advanced machine learning capabilities to identify and respond to vulnerabilities in real time. 

The region has seen an increase in investment, with major players like Microsoft and Fortinet expanding their operations in countries such as India and Australia, aiming to meet the rising demand for cybersecurity solutions among businesses.Notable mergers and acquisitions include Palo Alto Networks acquiring Palo Alto Networks in August 2023, strengthening its position in the market. 

Additionally, Check Point Software has announced strategic partnerships with various local firms to bolster their AI capabilities in cybersecurity, reflecting the growing emphasis on collaboration within the sector.In the past two years, the general growth in market valuation for these companies has positively impacted their capabilities and product innovation, with significant financial backing from government initiatives focused on enhancing national cybersecurity infrastructures across the APAC region. The ongoing digital transformation and increasing cyberattack threats are fueling this rapidly evolving landscape.

 

Future Outlook

APAC AI in Cybersecurity Market Future Outlook

The ai in-cybersecurity market is projected to grow at a 21.73% CAGR from 2024 to 2035, driven by increasing cyber threats, regulatory compliance, and technological advancements.

New opportunities lie in:

  • Development of AI-driven threat intelligence platforms for real-time risk assessment.
  • Integration of AI solutions in IoT devices to enhance security protocols.
  • Creation of subscription-based AI cybersecurity services for SMEs.

By 2035, the ai in-cybersecurity market is expected to be robust, driven by innovation and demand for advanced security solutions.

Market Segmentation

APAC AI in Cybersecurity Market End Use Outlook

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

APAC AI in Cybersecurity Market Technology Outlook

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

APAC AI in Cybersecurity Market Application Outlook

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

APAC AI in Cybersecurity Market Deployment Mode Outlook

  • Cloud-Based
  • On-Premises
  • Hybrid

Report Scope

MARKET SIZE 2024 7.5(USD Billion)
MARKET SIZE 2025 9.13(USD Billion)
MARKET SIZE 2035 65.25(USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR) 21.73% (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 ["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 ai in-cybersecurity market across APAC.
Countries Covered China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC

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FAQs

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

The expected market size of the APAC AI in Cybersecurity Market in 2024 is 2.5 USD Billion.

What is the projected market size of the APAC AI in Cybersecurity Market by 2035?

By 2035, the APAC AI in Cybersecurity Market is projected to reach a size of 25.0 USD Billion.

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

The expected CAGR for the APAC AI in Cybersecurity Market from 2025 to 2035 is 23.285%.

Which region is anticipated to hold the largest market share in the APAC AI in Cybersecurity Market by 2035?

By 2035, China is anticipated to hold the largest market share, valued at 9.0 USD Billion.

What is the market size for Threat Intelligence in the APAC AI in Cybersecurity Market in 2024?

The market size for Threat Intelligence in 2024 is valued at 0.6 USD Billion.

What is the expected market size for Security Analytics by 2035?

The expected market size for Security Analytics by 2035 is 7.0 USD Billion.

What are some key players in the APAC AI in Cybersecurity Market?

Key players include Trend Micro, Check Point Software, Microsoft, and IBM.

What is the expected market value for Fraud Detection in 2035?

The expected market value for Fraud Detection by 2035 is 4.0 USD Billion.

How does the APAC AI in Cybersecurity Market's growth in India compare to that of other regions by 2035?

India is expected to reach a market value of 7.0 USD Billion by 2035, making it one of the largest markets in the region.

What is the size of the APAC AI in Cybersecurity Market for Incident Response in 2024?

The market size for Incident Response in 2024 is valued at 0.3 USD Billion.

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