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AI Large Model in Cybersecurity Market Forecast 2026-2032, Industry Growth Drivers, Competitive Landscape, and Future Outlook

06-09-2026 11:45 AM CET | Business, Economy, Finances, Banking & Insurance

Press release from: QYResearch Inc.

AI Large Model in Cybersecurity Market

AI Large Model in Cybersecurity Market

The report on the global AI Large Model in Cybersecurity market has been prepared by experienced and knowledgeable market analysts and researchers. It is a phenomenal compilation of important studies that explore the competitive landscape, segmentation, geographical expansion, and revenue, production, and consumption growth of the global AI Large Model in Cybersecurity market. Players can use the accurate market facts and figures and statistical studies provided in the report to understand the current and future growth of the global AI Large Model in Cybersecurity market. The report includes CAGR, market shares, sales, gross margin, value, volume, and other vital market figures that give an exact picture of the growth of the global AI Large Model in Cybersecurity market.

The global AI Large Model in Cybersecurity market was valued at US$ 3480 million in 2025 and is anticipated to reach US$ 9995 million by 2032, at a CAGR of 16.2% from 2026 to 2032.

Download Exclusive Research Report PDF Sample: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.qyresearch.in/request-sample/service-software-global-ai-large-model-in-cybersecurity-market-research-report-2026

The AI Large Model in Cybersecurity market is an emerging high-growth segment driven by increasing cyber threats, growing security data complexity, and rising demand for intelligent security automation. These models improve threat detection accuracy, automate incident response workflows, and enhance security operation efficiency. Market growth is supported by rapid adoption of generative AI technologies, expansion of cloud infrastructure, and increasing investment in enterprise cybersecurity. Technological advancements in large language models, AI inference optimization, and threat intelligence integration are accelerating commercial deployment.

However, the market faces challenges such as high computing costs, data privacy concerns, model hallucination risks, and regulatory uncertainty. Overall, the industry demonstrates strong long-term growth potential, closely linked to AI commercialization and the evolution of intelligent cybersecurity infrastructure.

Our analysts have used advanced primary and secondary research techniques and tools to compile this report. The research sources and tools that we use are highly reliable and trustworthy. The report offers effective guidelines and recommendations for players to secure a position of strength in the global AI Large Model in Cybersecurity market. New players can also use this research study to create business strategies and get informed about future market challenges. We provide a comprehensive competitive analysis which includes detailed company profiling of leading players, a study on the nature and characteristics of the vendor landscape, and other important studies.

The research study includes key results and findings of our monitoring and analysis of the global AI Large Model in Cybersecurity market. We have provided crucial data points, which include divestments, new product launches, expansions, partnerships, mergers, acquisitions, and other strategic initiatives taken by players in the global AI Large Model in Cybersecurity market. The report also provides price trends for regional markets and analysis of important market events on a regional as well as global scale. Our analysis will enable you to take informed decisions in the global AI Large Model in Cybersecurity market relating to procurement, inventory, pricing, and production. We enable you to give a tough competition to your opponents by providing real-time, actionable, and quick market information.

The report will help you to understand how and whether or not the global AI Large Model in Cybersecurity market has become customer-centric. It offers deep insights into customer needs and preferences for players to increase their brand value, better connect with their clients, and improve their sales in the global AI Large Model in Cybersecurity market. As part of our customer insights, we have shed light on product positioning, customers' perception of market competition, customer segmentation, consumer buying behavior, customer needs, and target customers.

Competitive Landscape

Our competitor profiling includes evaluation of distribution channels and products and services offered by and financial performance of companies operating in the global AI Large Model in Cybersecurity market. We also provide Porter's Five Forces, PESTLE, and SWOT analysis to assess competitive threat and examine other aspects of the global AI Large Model in Cybersecurity market. The report offers strategic recommendations, competitor benchmarking for performance measurement, and analysis of partnership, merger, and acquisition targets and industry best practices. It also provides analysis of profitability and cost across the industry value chain.

Key Manufacturers Operating in the Global AI Large Model in Cybersecurity Market are:

Sangfor Technologies
360
Qi An Xin Technology
Palo Alto
CrowdStrike
SentinelOne
Darktrace
Trend Micro
NTT Security Holdings

Market Segments

Our market analysts are experts in deeply segmenting the global AI Large Model in Cybersecurity market and thoroughly evaluating the growth potential of each and every segment studied in the report. Right at the beginning of the research study, the segments are compared on the basis of consumption and growth rate for a review period of nine years. The segmentation study included in the report offers a brilliant analysis of the global AI Large Model in Cybersecurity market, taking into consideration the market potential of different segments studied. It assists market participants to focus on high-growth areas of the global AI Large Model in Cybersecurity market and plan powerful business tactics to secure a position of strength in the industry.

Segment by Type:

Threat Detection AI Model
Malware Analysis Large Model
Security Copilot Large Language Model
Vulnerability Analysis AI Model

Segment by Application:

Large Enterprises
SME

Geographic Outlook

A market research study is incomplete without regional analysis, and we are well aware of it. That is why, the report includes a comprehensive and all-inclusive study that solely concentrates on the geographical growth of the global AI Large Model in Cybersecurity market. The study also includes accurate estimations about market growth at the global, regional, and country levels. It empowers you to understand why some regional markets are flourishing while others are seeing a decline in growth. It also allows you to focus on geographies that hold the potential to create lucrative prospects in the near future.

Request Pre-Order Enquiry or Customized Research On This Report: https://www.qyresearch.in/pre-order-inquiry/service-software-global-ai-large-model-in-cybersecurity-market-research-report-2026

What to Expect in our Report?

(1) A complete section of the report is dedicated for market dynamics, which include influence factors, market drivers, challenges, opportunities, and trends.

(2) Another broad section of the research study is reserved for regional analysis of the global AI Large Model in Cybersecurity market where important regions and countries are assessed for their growth potential, consumption, market share, and other vital factors indicating their market growth.

(3) Players can use the competitive analysis provided in the report to build new strategies or fine-tune their existing ones to rise above market challenges and increase their share of the global AI Large Model in Cybersecurity market.

(4) The report also discusses competitive situation and trends and sheds light on company expansions and merger and acquisition taking place in the global AI Large Model in Cybersecurity market. Moreover, it brings to light the market concentration rate and market shares of top three and five players.

(5) Readers are provided with findings and conclusion of the research study provided in the report.

Table of Contents

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Large Model in Cybersecurity Market Size Growth Rate by Type: 2021 vs 2025 vs 2032
1.2.2 Threat Detection AI Model
1.2.3 Malware Analysis Large Model
1.2.4 Security Copilot Large Language Model
1.2.5 Vulnerability Analysis AI Model
1.3 Market by Training Dataset Size
1.3.1 Global AI Large Model in Cybersecurity Market Size Growth Rate by Training Dataset Size: 2021 vs 2025 vs 2032
1.3.2 Small-scale: 1 TB
1.3.3 Medium-scale: 1-10 TB
1.3.4 Large-scale: 10-100 TB
1.3.5 Hyper-scale: ≥100 TB
1.4 Market by Deployment Mode
1.4.1 Global AI Large Model in Cybersecurity Market Size Growth Rate by Deployment Mode: 2021 vs 2025 vs 2032
1.4.2 Local Deployment
1.4.3 Cloud-based
1.5 Market by Application
1.5.1 Global AI Large Model in Cybersecurity Market Growth by Application: 2021 vs 2025 vs 2032
1.5.2 Large Enterprises
1.5.3 SME
1.6 Assumptions and Limitations
1.7 Study Objectives
1.8 Years Considered

2 Global Growth Trends
2.1 Global AI Large Model in Cybersecurity Market Perspective (2021-2032)
2.2 Global AI Large Model in Cybersecurity Growth Trends by Region
2.2.1 Global AI Large Model in Cybersecurity Market Size by Region: 2021 vs 2025 vs 2032
2.2.2 AI Large Model in Cybersecurity Historic Market Size by Region (2021-2026)
2.2.3 AI Large Model in Cybersecurity Forecasted Market Size by Region (2027-2032)
2.3 AI Large Model in Cybersecurity Market Dynamics
2.3.1 AI Large Model in Cybersecurity Industry Trends
2.3.2 AI Large Model in Cybersecurity Market Drivers
2.3.3 AI Large Model in Cybersecurity Market Challenges
2.3.4 AI Large Model in Cybersecurity Market Restraints

3 Competition Landscape by Key Players
3.1 Global Top AI Large Model in Cybersecurity Players by Revenue
3.1.1 Global Top AI Large Model in Cybersecurity Players by Revenue (2021-2026)
3.1.2 Global AI Large Model in Cybersecurity Revenue Market Share by Players (2021-2026)
3.2 Global Top AI Large Model in Cybersecurity Players Market Share by Company Tier (Tier 1, Tier 2, Tier 3)
3.3 Global Key Players Ranking by AI Large Model in Cybersecurity Revenue
3.4 Global AI Large Model in Cybersecurity Market Concentration Ratio
3.4.1 Global AI Large Model in Cybersecurity Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Large Model in Cybersecurity Revenue in 2025
3.5 Global Key Players of AI Large Model in Cybersecurity Head Offices and Areas Served
3.6 Global Key Players of AI Large Model in Cybersecurity, Products and Applications
3.7 Global Key Players of AI Large Model in Cybersecurity, Date of General Availability (GA)
3.8 Mergers and Acquisitions, Expansion Plans

4 AI Large Model in Cybersecurity Breakdown Data by Type
4.1 Global AI Large Model in Cybersecurity Historic Market Size by Type (2021-2026)
4.2 Global AI Large Model in Cybersecurity Forecasted Market Size by Type (2027-2032)

5 AI Large Model in Cybersecurity Breakdown Data by Application
5.1 Global AI Large Model in Cybersecurity Historic Market Size by Application (2021-2026)
5.2 Global AI Large Model in Cybersecurity Forecasted Market Size by Application (2027-2032)

6 North America
6.1 North America AI Large Model in Cybersecurity Market Size (2021-2032)
6.2 North America AI Large Model in Cybersecurity Market Growth Rate by Country: 2021 vs 2025 vs 2032
6.3 North America AI Large Model in Cybersecurity Market Size by Country (2021-2026)
6.4 North America AI Large Model in Cybersecurity Market Size by Country (2027-2032)
6.5 United States
6.6 Canada

7 Europe
7.1 Europe AI Large Model in Cybersecurity Market Size (2021-2032)
7.2 Europe AI Large Model in Cybersecurity Market Growth Rate by Country: 2021 vs 2025 vs 2032
7.3 Europe AI Large Model in Cybersecurity Market Size by Country (2021-2026)
7.4 Europe AI Large Model in Cybersecurity Market Size by Country (2027-2032)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Ireland

8 Asia-Pacific
8.1 Asia-Pacific AI Large Model in Cybersecurity Market Size (2021-2032)
8.2 Asia-Pacific AI Large Model in Cybersecurity Market Growth Rate by Region: 2021 vs 2025 vs 2032
8.3 Asia-Pacific AI Large Model in Cybersecurity Market Size by Region (2021-2026)
8.4 Asia-Pacific AI Large Model in Cybersecurity Market Size by Region (2027-2032)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia & New Zealand

9 Latin America
9.1 Latin America AI Large Model in Cybersecurity Market Size (2021-2032)
9.2 Latin America AI Large Model in Cybersecurity Market Growth Rate by Country: 2021 vs 2025 vs 2032
9.3 Latin America AI Large Model in Cybersecurity Market Size by Country (2021-2026)
9.4 Latin America AI Large Model in Cybersecurity Market Size by Country (2027-2032)
9.5 Mexico
9.6 Brazil

10 Middle East & Africa
10.1 Middle East & Africa AI Large Model in Cybersecurity Market Size (2021-2032)
10.2 Middle East & Africa AI Large Model in Cybersecurity Market Growth Rate by Country: 2021 vs 2025 vs 2032
10.3 Middle East & Africa AI Large Model in Cybersecurity Market Size by Country (2021-2026)
10.4 Middle East & Africa AI Large Model in Cybersecurity Market Size by Country (2027-2032)
10.5 Israel
10.6 Saudi Arabia
10.7 UAE

11 Key Players Profiles
11.1 Sangfor Technologies
11.1.1 Sangfor Technologies Company Details
11.1.2 Sangfor Technologies Business Overview
11.1.3 Sangfor Technologies AI Large Model in Cybersecurity Introduction
11.1.4 Sangfor Technologies Revenue in AI Large Model in Cybersecurity Business (2021-2026)
11.1.5 Sangfor Technologies Recent Development
11.2 360
11.2.1 360 Company Details
11.2.2 360 Business Overview
11.2.3 360 AI Large Model in Cybersecurity Introduction
11.2.4 360 Revenue in AI Large Model in Cybersecurity Business (2021-2026)
11.2.5 360 Recent Development
11.3 Qi An Xin Technology
11.3.1 Qi An Xin Technology Company Details
11.3.2 Qi An Xin Technology Business Overview
11.3.3 Qi An Xin Technology AI Large Model in Cybersecurity Introduction
11.3.4 Qi An Xin Technology Revenue in AI Large Model in Cybersecurity Business (2021-2026)
11.3.5 Qi An Xin Technology Recent Development
11.4 Palo Alto
11.4.1 Palo Alto Company Details
11.4.2 Palo Alto Business Overview
11.4.3 Palo Alto AI Large Model in Cybersecurity Introduction
11.4.4 Palo Alto Revenue in AI Large Model in Cybersecurity Business (2021-2026)
11.4.5 Palo Alto Recent Development
11.5 CrowdStrike
11.5.1 CrowdStrike Company Details
11.5.2 CrowdStrike Business Overview
11.5.3 CrowdStrike AI Large Model in Cybersecurity Introduction
11.5.4 CrowdStrike Revenue in AI Large Model in Cybersecurity Business (2021-2026)
11.5.5 CrowdStrike Recent Development
11.6 SentinelOne
11.6.1 SentinelOne Company Details
11.6.2 SentinelOne Business Overview
11.6.3 SentinelOne AI Large Model in Cybersecurity Introduction
11.6.4 SentinelOne Revenue in AI Large Model in Cybersecurity Business (2021-2026)
11.6.5 SentinelOne Recent Development
11.7 Darktrace
11.7.1 Darktrace Company Details
11.7.2 Darktrace Business Overview
11.7.3 Darktrace AI Large Model in Cybersecurity Introduction
11.7.4 Darktrace Revenue in AI Large Model in Cybersecurity Business (2021-2026)
11.7.5 Darktrace Recent Development
11.8 Trend Micro
11.8.1 Trend Micro Company Details
11.8.2 Trend Micro Business Overview
11.8.3 Trend Micro AI Large Model in Cybersecurity Introduction
11.8.4 Trend Micro Revenue in AI Large Model in Cybersecurity Business (2021-2026)
11.8.5 Trend Micro Recent Development
11.9 NTT Security Holdings
11.9.1 NTT Security Holdings Company Details
11.9.2 NTT Security Holdings Business Overview
11.9.3 NTT Security Holdings AI Large Model in Cybersecurity Introduction
11.9.4 NTT Security Holdings Revenue in AI Large Model in Cybersecurity Business (2021-2026)
11.9.5 NTT Security Holdings Recent Development

12 Analyst's Viewpoints/Conclusions

13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

About QYResearch

QYResearch founded in California, USA in 2007. It is a leading global market research and consulting company. With over 19 years' experience and professional research team in various cities over the world QY Research focuses on management consulting, database and seminar services, IPO consulting (data is widely cited in prospectuses, annual reports and presentations), industry chain research and customized research to help our clients in providing non-linear revenue model and make them successful. We are globally recognized for our expansive portfolio of services, good corporate citizenship, and our strong commitment to sustainability. Up to now, we have cooperated with more than 70,000 clients across five continents. Let's work closely with you and build a bold and better future.

Contact US

Ankit Jain - Director, Global Digital Marketing

QY Research, INC.
India Office -
315Work Avenue, Raheja Woods, Kalyani Nagar,
Pune, Maharashtra 411006, India
Web - https://www.qyresearch.in
Email- ankit@qyresearch.com

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