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Asia-Pacific AI in Cybersecurity Market Report and Forecast 2025-2034

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    Report

  • 149 Pages
  • February 2025
  • Region: Asia Pacific
  • Expert Market Research
  • ID: 6057489
According to this report, the Asia-Pacific AI in cybersecurity market size reached a value of nearly USD 3.25 billion in 2024. Aided by the rising need for advanced threat detection and robust cybersecurity frameworks, the market is projected to grow at a CAGR of 21.30% between 2025 and 2034 to reach a value of around USD 19.88 billion by 2034.

AI in cybersecurity leverages machine learning, natural language processing, and other AI-driven technologies to predict, prevent, and mitigate cyber risks effectively. Its ability to analyse vast datasets, identify patterns, and respond to evolving threats makes it a critical component in safeguarding sensitive information across industries, including finance, healthcare, government, and retail.

The escalating frequency and sophistication of cyberattacks across the Asia-Pacific region are driving the Asia-Pacific AI in cybersecurity market growth. Organisations are increasingly seeking AI-driven solutions to combat threats such as phishing, malware, ransomware, and advanced persistent threats (APTs). AI-powered systems enhance incident response times, reduce false positives, and enable real-time monitoring, making them indispensable in modern cybersecurity strategies.

The growing digitalisation in economies like China, India, and Southeast Asia is further boosting the Asia-Pacific AI in cybersecurity market value. With the proliferation of internet-connected devices and cloud computing, businesses face heightened exposure to cyber risks. The integration of AI technologies into cybersecurity frameworks addresses these vulnerabilities, ensuring data integrity and compliance with regulatory standards.

AI in cybersecurity has extensive applications across various industries, accelerating the Asia-Pacific AI in cybersecurity market development. In the financial sector, AI-driven systems detect fraudulent activities and secure online transactions. Healthcare organisations use AI to protect sensitive patient data and ensure compliance with data protection regulations. Government agencies rely on AI to safeguard critical infrastructure, while e-commerce platforms deploy AI solutions to prevent payment fraud and protect customer data. This is creating a favourable Asia-Pacific AI in cybersecurity market outlook.

In addition, AI’s role in securing Internet of things (IoT) ecosystems has become increasingly crucial. As IoT devices grow in number and functionality, they present new attack surfaces for cybercriminals. AI-powered cybersecurity tools effectively monitor and secure these networks, ensuring seamless and secure connectivity.

The Asia-Pacific is witnessing rapid advancements in AI and cybersecurity technologies, with countries like China, Japan, South Korea, and India leading the way. Government initiatives promoting digital transformation and smart city projects are contributing to the increased adoption of AI-driven cybersecurity solutions. This is one of the key Asia-Pacific AI in cybersecurity market trends. Furthermore, the region’s dynamic startup ecosystem is fostering innovation, with several AI-focused companies developing cutting-edge cybersecurity tools.

Japan and South Korea are leveraging AI to fortify their cybersecurity postures, particularly in critical infrastructure sectors like transportation and energy. Meanwhile, China’s significant investments in AI research and development position have turned it into a dominant player commanding a major portion of the Asia-Pacific AI in cybersecurity market share.

Despite its promising growth, the Asia-Pacific AI in cybersecurity market faces challenges such as high implementation costs and a shortage of skilled professionals. Small and medium-sized enterprises (SMEs), which form a significant portion of the region’s economy, often struggle to afford advanced AI-based solutions. Additionally, the lack of standardisation in cybersecurity protocols can hinder market adoption.

However, as per the Asia-Pacific AI in cybersecurity market analysis, these challenges present opportunities for innovation and growth. The increasing availability of cost-effective AI solutions, coupled with government incentives and collaborations, is expected to bridge the gap for SMEs. Moreover, advancements in AI technologies, such as explainable AI and federated learning, are set to improve trust and adoption across sectors.

The Asia-Pacific AI in cybersecurity market revenue is poised for substantial growth, driven by technological advancements and the region’s increasing focus on digital resilience. As organisations prioritise data security and regulatory compliance, the demand for AI-powered cybersecurity solutions is expected to rise. Ongoing research and development efforts, along with partnerships between governments, enterprises, and technology providers, will further propel market expansion.

Market Segmentation

The market can be divided based on offering, security type, deployment mode, technology, industrial vertical, and country.

Market Breakup by Offering

  • Hardware
  • Solution
  • Service

Market Breakup by Security Type

  • Endpoint Security
  • Network Security
  • Cloud Security
  • Application Security

Market Breakup by Deployment Mode

  • Cloud
  • On-Premise

Market Breakup by Technology

  • Machine Learning
  • Context-aware Computing
  • Natural Language Processing

Market Breakup by Industry Vertical

  • BFSI
  • Automotive and Transportation
  • Retail and E-Commerce
  • Manufacturing
  • Government and Defence
  • Healthcare
  • Others

Market Breakup by Country

  • China
  • Japan
  • India
  • ASEAN
  • Australia
  • Others

Competitive Landscape

The report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in the Asia-Pacific AI in cybersecurity market. Some of the major players explored in the report are as follows:
  • Samsung Electronics Co., Ltd.
  • Amazon Web Services, Inc.
  • Ensign InfoSecurity Pte Ltd
  • CloudSEK Information Security Private Limited
  • WeSecure
  • WISeKey International Holding Ltd.
  • Acronis International GmbH.
  • HCL Technologies Limited
  • Palo Alto Networks, Inc.
  • Vectra AI
  • Others

Table of Contents

1 Executive Summary
1.1 Market Size 2024-2025
1.2 Market Growth 2025(F)-2034(F)
1.3 Key Demand Drivers
1.4 Key Players and Competitive Structure
1.5 Industry Best Practices
1.6 Recent Trends and Developments
1.7 Industry Outlook
2 Market Overview and Stakeholder Insights
2.1 Market Trends
2.2 Key Verticals
2.3 Key Countries
2.4 Supplier Power
2.5 Buyer Power
2.6 Key Market Opportunities and Risks
2.7 Key Initiatives by Stakeholders
3 Economic Summary
3.1 GDP Outlook
3.2 GDP Per Capita Growth
3.3 Inflation Trends
3.4 Democracy Index
3.5 Gross Public Debt Ratios
3.6 Balance of Payment (BoP) Position
3.7 Population Outlook
3.8 Urbanisation Trends
4 Country Risk Profiles
4.1 Country Risk
4.2 Business Climate
5 Global AI in Cybersecurity Market Overview
5.1 Key Industry Highlights
5.2 Global AI in Cybersecurity Historical Market (2018-2024)
5.3 Global AI in Cybersecurity Market Forecast (2025-2034)
5.4 Global AI in Cybersecurity Market Share by Region
5.4.1 North America
5.4.2 Europe
5.4.3 Asia-Pacific
5.4.4 Latin America
5.4.5 Middle East and Africa
6 Asia-Pacific AI in Cybersecurity Market Overview
6.1 Key Industry Highlights
6.2 Asia-Pacific AI in Cybersecurity Historical Market (2018-2024)
6.3 Asia-Pacific AI in Cybersecurity Market Forecast (2025-2034)
7 Asia-Pacific AI in Cybersecurity Market by Offering
7.1 Hardware
7.1.1 Historical Trend (2018-2024)
7.1.2 Forecast Trend (2025-2034)
7.2 Solution
7.2.1 Historical Trend (2018-2024)
7.2.2 Forecast Trend (2025-2034)
7.3 Service
7.3.1 Historical Trend (2018-2024)
7.3.2 Forecast Trend (2025-2034)
8 Asia-Pacific AI in Cybersecurity Market by Security Type
8.1 Endpoint Security
8.1.1 Historical Trend (2018-2024)
8.1.2 Forecast Trend (2025-2034)
8.2 Network Security
8.2.1 Historical Trend (2018-2024)
8.2.2 Forecast Trend (2025-2034)
8.3 Cloud Security
8.3.1 Historical Trend (2018-2024)
8.3.2 Forecast Trend (2025-2034)
8.4 Application Security
8.4.1 Historical Trend (2018-2024)
8.4.2 Forecast Trend (2025-2034)
9 Asia-Pacific AI in Cybersecurity Market by Deployment Mode
9.1 Coud
9.1.1 Historical Trend (2018-2024)
9.1.2 Forecast Trend (2025-2034)
9.2 On-Premise
9.2.1 Historical Trend (2018-2024)
9.2.2 Forecast Trend (2025-2034)
10 Asia-Pacific AI in Cybersecurity Market by Technology
10.1 Machine Learning
10.1.1 Historical Trend (2018-2024)
10.1.2 Forecast Trend (2025-2034)
10.2 Context-aware Computing
10.2.1 Historical Trend (2018-2024)
10.2.2 Forecast Trend (2025-2034)
10.3 Natural Language Processing
10.3.1 Historical Trend (2018-2024)
10.3.2 Forecast Trend (2025-2034)
11 Asia-Pacific AI in Cybersecurity Market by Industrial Vertical
11.1 BFSI
11.1.1 Historical Trend (2018-2024)
11.1.2 Forecast Trend (2025-2034)
11.2 Automotive and Transportation
11.2.1 Historical Trend (2018-2024)
11.2.2 Forecast Trend (2025-2034)
11.3 Retail and E-Commerce
11.3.1 Historical Trend (2018-2024)
11.3.2 Forecast Trend (2025-2034)
11.4 Manufacturing
11.4.1 Historical Trend (2018-2024)
11.4.2 Forecast Trend (2025-2034)
11.5 Government and Defense
11.5.1 Historical Trend (2018-2024)
11.5.2 Forecast Trend (2025-2034)
11.6 Healthcare
11.6.1 Historical Trend (2018-2024)
11.6.2 Forecast Trend (2025-2034)
11.7 Others
12 Asia-Pacific AI in Cybersecurity Market by Country
12.1 China
12.1.1 Historical Trend (2018-2024)
12.1.2 Forecast Trend (2025-2034)
12.2 Japan
12.2.1 Historical Trend (2018-2024)
12.2.2 Forecast Trend (2025-2034)
12.3 India
12.3.1 Historical Trend (2018-2024)
12.3.2 Forecast Trend (2025-2034)
12.4 ASEAN
12.4.1 Historical Trend (2018-2024)
12.4.2 Forecast Trend (2025-2034)
12.5 Australia
12.5.1 Historical Trend (2018-2024)
12.5.2 Forecast Trend (2025-2034)
12.6 Others
13 Market Dynamics
13.1 SWOT Analysis
13.1.1 Strengths
13.1.2 Weaknesses
13.1.3 Opportunities
13.1.4 Threats
13.2 Porter’s Five Forces Analysis
13.2.1 Supplier’s Power
13.2.2 Buyer’s Power
13.2.3 Threat of New Entrants
13.2.4 Degree of Rivalry
13.2.5 Threat of Substitutes
13.3 Key Indicators of Demand
13.4 Key Indicators of Price
14 Competitive Landscape
14.1 Supplier Selection
14.2 Key Global Players
14.3 Key Regional Players
14.4 Key Player Strategies
14.5 Company Profiles
14.5.1 Samsung Electronics Co., Ltd.
14.5.1.1 Company Overview
14.5.1.2 Product Portfolio
14.5.1.3 Demographic Reach and Achievements
14.5.1.4 Certifications
14.5.2 Amazon Web Services, Inc.
14.5.2.1 Company Overview
14.5.2.2 Product Portfolio
14.5.2.3 Demographic Reach and Achievements
14.5.2.4 Certifications
14.5.3 Ensign InfoSecurity Pte Ltd
14.5.3.1 Company Overview
14.5.3.2 Product Portfolio
14.5.3.3 Demographic Reach and Achievements
14.5.3.4 Certifications
14.5.4 CloudSEK Information Security Private Limited
14.5.4.1 Company Overview
14.5.4.2 Product Portfolio
14.5.4.3 Demographic Reach and Achievements
14.5.4.4 Certifications
14.5.5 WeSecure
14.5.5.1 Company Overview
14.5.5.2 Product Portfolio
14.5.5.3 Demographic Reach and Achievements
14.5.5.4 Certifications
14.5.6 WISeKey International Holding Ltd.
14.5.6.1 Company Overview
14.5.6.2 Product Portfolio
14.5.6.3 Demographic Reach and Achievements
14.5.6.4 Certifications
14.5.7 Acronis International GmbH.
14.5.7.1 Company Overview
14.5.7.2 Product Portfolio
14.5.7.3 Demographic Reach and Achievements
14.5.7.4 Certifications
14.5.8 HCL Technologies Limited
14.5.8.1 Company Overview
14.5.8.2 Product Portfolio
14.5.8.3 Demographic Reach and Achievements
14.5.8.4 Certifications
14.5.9 Palo Alto Networks, Inc.
14.5.9.1 Company Overview
14.5.9.2 Product Portfolio
14.5.9.3 Demographic Reach and Achievements
14.5.9.4 Certifications
14.5.10 Vectra AI
14.5.10.1 Company Overview
14.5.10.2 Product Portfolio
14.5.10.3 Demographic Reach and Achievements
14.5.10.4 Certifications
14.5.11 Others

Companies Mentioned

  • Samsung Electronics Co., Ltd.
  • Amazon Web Services, Inc.
  • Ensign InfoSecurity Pte Ltd
  • CloudSEK Information Security Private Limited
  • WeSecure
  • WISeKey International Holding Ltd.
  • Acronis International GmbH.
  • HCL Technologies Limited
  • Palo Alto Networks, Inc.
  • Vectra AI

Methodology

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