PUBLISHER: KBV Research | PRODUCT CODE: 1839383
PUBLISHER: KBV Research | PRODUCT CODE: 1839383
The Asia Pacific Agentic AI In Cybersecurity Market would witness market growth of 34.9% CAGR during the forecast period (2025-2032).
The China market dominated the Asia Pacific Agentic AI In Cybersecurity Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of USD 20,162.8 million by 2032. The Japan market is registering a CAGR of 34.2% during (2025 - 2032). Additionally, The India market would showcase a CAGR of 35.9% during (2025 - 2032). The China and Japan led the Asia Pacific Agentic AI In Cybersecurity Market by Country with a market share of 32.9% and 23.1% in 2024.
Agentic AI is becoming an important way to protect Asia Pacific's rapidly digitizing economies from cyberattacks. Agentic systems are different from traditional AI because they can reason, plan, and act on their own to sort through alerts, isolate compromised devices, and coordinate responses. The region's rapid growth in e-commerce, cloud adoption, and critical infrastructure makes it even more important to have fast, automated protection when there aren't enough workers. Governments in places like Japan, Singapore, and Australia push for "trustworthy AI" by making vendors include guardrails, explainability, and strict compliance. Companies around the world and in specific regions are adding these features to their security platforms. At the same time, businesses are using hybrid models where agents handle low-risk events and human analysts handle high-stakes actions.
Moving from single agents to orchestrated multi-agent systems for tasks like vulnerability scanning, intelligence correlation, and patching is a big trend. This makes sure that the systems can work with different technology stacks and rules. Businesses like phased deployments, where agentic AI is first used in low-risk operations and then scaled up to automated remediation. Vendors use governance-by-design, role-based controls, and localization features to meet different data sovereignty laws. There is a lot of competition in the cloud market. Global cloud providers use their size and integrated ecosystems to their advantage, regional vendors adjust their services to meet local laws, and startups in places like Singapore and Sydney focus on making things easy to understand and secure orchestration. Working with governments, schools, and local businesses also speeds up trust and adoption.
End Use Outlook
Based on End Use, the market is segmented into IT & Telecom, BFSI, Government & Defense, Healthcare, Retail & E-commerce, and Other End Use. Among various China Agentic AI In Cybersecurity Market by End Use; The BFSI market achieved a market size of USD $513.1 Million in 2024 and is expected to grow at a CAGR of 31.7 % during the forecast period. The Healthcare market is predicted to experience a CAGR of 34% throughout the forecast period from (2025 - 2032).
Application Outlook
Based on Application, the market is segmented into Threat Detection & Response, Vulnerability Management, and Other Application. The Threat Detection & Response market segment dominated the Singapore Agentic AI In Cybersecurity Market by Application is expected to grow at a CAGR of 36.4 % during the forecast period thereby continuing its dominance until 2032. Also, The Other Application market is anticipated to grow as a CAGR of 38 % during the forecast period during (2025 - 2032).
Country Outlook
China's agentic AI cybersecurity market is growing quickly because smart cities, industrial IoT, and big cloud deployments make it easy for hackers to attack and need quick, self-defense. Government rules about data localization, network security, and AI self-reliance make cybersecurity a top priority. This means that models must be strictly governed, easy to understand, and able to withstand attacks from adversaries. More and more, multi-agent frameworks are being used to keep an eye on networks, endpoints, identities, and cloud misconfigurations. This makes it possible to fix problems in a closed loop with audit and rollback controls. Tech companies and security firms in the US are leading the way in innovation by adding lightweight edge agents and adversarially robust models to SOCs and critical infrastructure. International vendors have to deal with rules and usually work with local providers. Startups, on the other hand, focus on specific areas like OT/ICS security and supply-chain threat intelligence. Competition is based on compliance, low-latency performance, and smooth integration with large enterprise ecosystems. This makes China a globally important but tightly controlled center for agentic AI in cybersecurity.
List of Key Companies Profiled
Asia Pacific Agentic AI In Cybersecurity Market Report Segmentation
By Component
By Application
By Deployment
By End Use
By Country