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Asia-Pacific Agentic AI in Cybersecurity Market Size, Share & Industry Analysis Report by Component, Application, Deployment, End Use, and Country with Growth Forecasts, 2025-2032

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    Report

  • 198 Pages
  • September 2025
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6176486
The Asia Pacific Agentic AI In Cybersecurity Market is expected to 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 is expected to continue to be a dominant market till 2032; thereby, achieving a market value of USD 20.16 billion by 2032. The Japan market is registering a CAGR of 34.2% during 2025-2032. Additionally, the India market is expected to 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

List of Key Companies Profiled

  • CrowdStrike Holdings, Inc.
  • Palo Alto Networks, Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Darktrace Holdings Limited
  • Google LLC
  • Anthropic PBC
  • Salesforce, Inc.
  • NVIDIA Corporation
  • SentinelOne, Inc.

Market Report Segmentation

By Component

  • Solution
  • Services

By Application

  • Threat Detection & Response
  • Vulnerability Management
  • Other Application

By Deployment

  • Cloud
  • On-premises

By End Use

  • IT & Telecom
  • BFSI
  • Government & Defense
  • Healthcare
  • Retail & E-commerce
  • Other End Use

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia-Pacific Agentic AI In Cybersecurity Market, by Component
1.4.2 Asia-Pacific Agentic AI In Cybersecurity Market, by Application
1.4.3 Asia-Pacific Agentic AI In Cybersecurity Market, by Deployment
1.4.4 Asia-Pacific Agentic AI In Cybersecurity Market, by End Use
1.4.5 Asia-Pacific Agentic AI In Cybersecurity Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Market Trends - Asia-Pacific Agentic AI In Cybersecurity MarketChapter 5. State of Competition - Asia-Pacific Agentic AI In Cybersecurity MarketChapter 6. Value Chain Analysis of Agentic AI In Cybersecurity MarketChapter 7. Product Life Cycle - Agentic AI In Cybersecurity MarketChapter 8. Market Consolidation - Agentic AI in Cybersecurity MarketChapter 9. Key Customer Criteria - Agentic AI In Cybersecurity Market
Chapter 10. Competition Analysis - Global
10.1 The Cardinal Matrix
10.2 Recent Industry Wide Strategic Developments
10.2.1 Partnerships, Collaborations and Agreements
10.2.2 Product Launches and Product Expansions
10.2.3 Acquisition and Mergers
10.3 Market Share Analysis, 2024
10.4 Top Winning Strategies
10.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
10.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2024, Oct - 2025, Aug) Leading Players
10.5 Porter Five Forces Analysis
Chapter 11. Asia-Pacific Agentic AI In Cybersecurity Market by Component
11.1 Asia-Pacific Solution Market by Country
11.2 Asia-Pacific Services Market by Country
Chapter 12. Asia-Pacific Agentic AI In Cybersecurity Market by Application
12.1 Asia-Pacific Threat Detection & Response Market by Country
12.2 Asia-Pacific Vulnerability Management Market by Country
12.3 Asia-Pacific Other Application Market by Country
Chapter 13. Asia-Pacific Agentic AI In Cybersecurity Market by Deployment
13.1 Asia-Pacific Cloud Market by Country
13.2 Asia-Pacific On-premises Market by Country
Chapter 14. Asia-Pacific Agentic AI In Cybersecurity Market by End Use
14.1 Asia-Pacific IT & Telecom Market by Country
14.2 Asia-Pacific BFSI Market by Country
14.3 Asia-Pacific Government & Defense Market by Country
14.4 Asia-Pacific Healthcare Market by Country
14.5 Asia-Pacific Retail & E-commerce Market by Country
14.6 Asia-Pacific Other End Use Market by Country
Chapter 15. Asia-Pacific Agentic AI In Cybersecurity Market by Country
15.1 China Agentic AI In Cybersecurity Market
15.1.1 China Agentic AI In Cybersecurity Market by Component
15.1.2 China Agentic AI In Cybersecurity Market by Application
15.1.3 China Agentic AI In Cybersecurity Market by Deployment
15.1.4 China Agentic AI In Cybersecurity Market by End Use
15.2 Japan Agentic AI In Cybersecurity Market
15.2.1 Japan Agentic AI In Cybersecurity Market by Component
15.2.2 Japan Agentic AI In Cybersecurity Market by Application
15.2.3 Japan Agentic AI In Cybersecurity Market by Deployment
15.2.4 Japan Agentic AI In Cybersecurity Market by End Use
15.3 India Agentic AI In Cybersecurity Market
15.3.1 India Agentic AI In Cybersecurity Market by Component
15.3.2 India Agentic AI In Cybersecurity Market by Application
15.3.3 India Agentic AI In Cybersecurity Market by Deployment
15.3.4 India Agentic AI In Cybersecurity Market by End Use
15.4 South Korea Agentic AI In Cybersecurity Market
15.4.1 South Korea Agentic AI In Cybersecurity Market by Component
15.4.2 South Korea Agentic AI In Cybersecurity Market by Application
15.4.3 South Korea Agentic AI In Cybersecurity Market by Deployment
15.4.4 South Korea Agentic AI In Cybersecurity Market by End Use
15.5 Singapore Agentic AI In Cybersecurity Market
15.5.1 Singapore Agentic AI In Cybersecurity Market by Component
15.5.2 Singapore Agentic AI In Cybersecurity Market by Application
15.5.3 Singapore Agentic AI In Cybersecurity Market by Deployment
15.5.4 Singapore Agentic AI In Cybersecurity Market by End Use
15.6 Malaysia Agentic AI In Cybersecurity Market
15.6.1 Malaysia Agentic AI In Cybersecurity Market by Component
15.6.2 Malaysia Agentic AI In Cybersecurity Market by Application
15.6.3 Malaysia Agentic AI In Cybersecurity Market by Deployment
15.6.4 Malaysia Agentic AI In Cybersecurity Market by End Use
15.7 Rest of Asia-Pacific Agentic AI In Cybersecurity Market
15.7.1 Rest of Asia-Pacific Agentic AI In Cybersecurity Market by Component
15.7.2 Rest of Asia-Pacific Agentic AI In Cybersecurity Market by Application
15.7.3 Rest of Asia-Pacific Agentic AI In Cybersecurity Market by Deployment
15.7.4 Rest of Asia-Pacific Agentic AI In Cybersecurity Market by End Use
Chapter 16. Company Profiles
16.1 Crowdstrike Holdings, Inc.
16.1.1 Company Overview
16.1.2 Financial Analysis
16.1.3 Regional Analysis
16.1.4 Research & Development Expenses
16.1.5 Recent Strategies and Developments
16.1.5.1 Partnerships, Collaborations, and Agreements
16.1.5.2 Product Launches and Product Expansions
16.1.6 SWOT Analysis
16.2 Palo Alto Networks, Inc.
16.2.1 Company Overview
16.2.2 Financial Analysis
16.2.3 Regional Analysis
16.2.4 Research & Development Expense
16.2.5 Recent Strategies and Developments
16.2.5.1 Partnerships, Collaborations, and Agreements
16.2.5.2 Acquisition and Mergers
16.2.6 SWOT Analysis
16.3 Microsoft Corporation
16.3.1 Company Overview
16.3.2 Financial Analysis
16.3.3 Segmental and Regional Analysis
16.3.4 Research & Development Expenses
16.3.5 Recent Strategies and Developments
16.3.5.1 Partnerships, Collaborations, and Agreements
16.3.6 SWOT Analysis
16.4 IBM Corporation
16.4.1 Company Overview
16.4.2 Financial Analysis
16.4.3 Regional & Segmental Analysis
16.4.4 Research & Development Expenses
16.4.5 Recent Strategies and Developments
16.4.5.1 Product Launches and Product Expansions
16.4.6 SWOT Analysis
16.5 Darktrace Holdings Limited
16.5.1 Company Overview
16.5.2 Recent Strategies and Developments
16.5.2.1 Product Launches and Product Expansions
16.5.2.2 Acquisition and Mergers
16.6 Google LLC
16.6.1 Company Overview
16.6.2 Financial Analysis
16.6.3 Segmental and Regional Analysis
16.6.4 Research & Development Expenses
16.6.5 Recent Strategies and Developments
16.6.5.1 Product Launches and Product Expansions
16.6.6 SWOT Analysis
16.7 Anthropic PBC
16.7.1 Company Overview
16.8 Salesforce, Inc.
16.8.1 Company Overview
16.8.2 Financial Analysis
16.8.3 Regional Analysis
16.8.4 Research & Development Expenses
16.8.5 SWOT Analysis
16.9 NVIDIA Corporation
16.9.1 Company Overview
16.9.2 Financial Analysis
16.9.3 Segmental and Regional Analysis
16.9.4 Research & Development Expenses
16.9.5 Recent Strategies and Developments
16.9.5.1 Product Launches and Product Expansions
16.9.6 SWOT Analysis
16.10. SentinelOne, Inc.
16.10.1 Company Overview
16.10.2 Recent Strategies and Developments
16.10.2.1 Partnerships, Collaborations, and Agreements
16.10.2.2 Product Launches and Product Expansions
16.10.2.3 Acquisition and Mergers
16.10.3 SWOT Analysis

Companies Mentioned

  • CrowdStrike Holdings, Inc.
  • Palo Alto Networks, Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Darktrace Holdings Limited
  • Google LLC
  • Anthropic PBC
  • Salesforce, Inc.
  • NVIDIA Corporation
  • SentinelOne, Inc.