Industry: Service & Software
Published Date: 2025-07-12
Pages: 92 Pages
Report ld: 3433151
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Artificial Intelligence (AI) in Cyber Security Market Size(US$)

CAGR 2025-2031
15.0%
Market Size,2031
USD 75,595
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for Artificial Intelligence (AI) in Cyber Security was valued at US$ 29192 million in the year 2024 and is projected to reach a revised size of US$ 75595 million by 2031, growing at a CAGR of 15.0% during the forecast period.
Artificial Intelligence (AI) has become a significant technological trend in the field of cybersecurity, aiming to enhance the protection of network systems through automation and intelligence. The primary applications of AI in cybersecurity include intrusion detection, malware identification, risk assessment, and network traffic analysis. By utilizing technologies such as machine learning and deep learning, AI can predict and prevent potential security threats before an attack occurs. These technologies analyze and process large volumes of data, detecting anomalous behaviors or patterns that traditional methods might miss, thereby significantly improving the speed and accuracy of cybersecurity responses.
In practice, AI analyzes network traffic in real-time to identify and isolate potential attacks or threats, such as DDoS (Distributed Denial of Service) attacks, viruses, ransomware, and other malicious activities. Machine learning algorithms continuously learn and adapt to new types of attacks, thereby enhancing the accuracy of detection and the effectiveness of defenses. Additionally, AI can automate tasks, reducing the workload of security personnel and increasing operational efficiency. This makes AI a powerful tool for enhancing cybersecurity, particularly in the face of increasingly complex and diverse security threats.
Overall, AI in cybersecurity helps improve defense efficiency, reduce human intervention, and better adapt to the ever-evolving challenges in network security. As technology continues to develop, AI will play an increasingly vital role in cybersecurity, becoming an integral part of organizations' efforts to protect their digital assets.
The potential for artificial intelligence (AI) in the cybersecurity market is vast. As network attack technologies continue to mature and cybersecurity threats increase, AI provides more efficient solutions, becoming a key technology to address these complex threats. In recent years, AI applications in cybersecurity have expanded, with widespread use across areas such as intrusion detection, malware analysis, firewalls, and anti-fraud systems. Furthermore, the development of emerging technologies like 5G, the Internet of Things (IoT), and cloud computing has further driven the demand for AI-driven cybersecurity solutions.
One of the primary drivers of this market is the exponential growth in data. With the acceleration of digital transformation, data volumes have increased significantly, and traditional manual security measures are no longer adequate to handle such large amounts of data. AI technologies, particularly machine learning and deep learning algorithms, can efficiently process vast amounts of data and extract valuable security information, helping businesses quickly identify potential threats and respond accordingly.
However, the market also faces certain risks and challenges. First, the application of AI in cybersecurity still needs to overcome some technical issues, such as algorithm interpretability, security, and the quality of training data. Additionally, malicious attackers are continually enhancing their techniques, including using AI to conduct adversarial attacks designed to bypass traditional AI security defenses. This presents both technical and ethical challenges for the development of AI in cybersecurity.
In terms of market concentration, a few large tech companies and cybersecurity-focused firms currently dominate the market. However, as the technology becomes more widespread, more small businesses and startups are entering the field, intensifying market competition.
Regarding downstream demand trends, as businesses place increasing importance on data security and privacy protection, AI's role in cybersecurity will expand further across various industries and scenarios. For instance, industries such as finance, healthcare, and government are increasingly demanding AI-driven security solutions. Moreover, the integration of AI with other technologies like blockchain and quantum computing presents new opportunities for the future development of the cybersecurity market.
In terms of the latest technologies, there is a growing trend of AI being integrated with big data and cloud computing, forming highly integrated security protection systems. Deep learning technologies are also continually improving, with more efficient algorithms and models enhancing the accuracy and efficiency of detection and protection.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Cyber Security, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence (AI) in Cyber Security.
The Artificial Intelligence (AI) in Cyber Security market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Artificial Intelligence (AI) in Cyber Security market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence (AI) in Cyber Security companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence (AI) in Cyber Security company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence (AI) in Cyber Security Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 ML-based Solution
1.2.3 NLP-based Solution
1.2.4 Others
1.3 Market by Application
1.3.1 Global Artificial Intelligence (AI) in Cyber Security Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 BFSI
1.3.3 Government
1.3.4 IT & Telecom
1.3.5 Healthcare
1.3.6 Aerospace and Defense
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence (AI) in Cyber Security Market Perspective (2020-2031)
2.2 Global Artificial Intelligence (AI) in Cyber Security Growth Trends by Region
2.2.1 Global Artificial Intelligence (AI) in Cyber Security Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Artificial Intelligence (AI) in Cyber Security Historic Market Size by Region (2020-2025)
2.2.3 Artificial Intelligence (AI) in Cyber Security Forecasted Market Size by Region (2026-2031)
2.3 Artificial Intelligence (AI) in Cyber Security Market Dynamics
2.3.1 Artificial Intelligence (AI) in Cyber Security Industry Trends
2.3.2 Artificial Intelligence (AI) in Cyber Security Market Drivers
2.3.3 Artificial Intelligence (AI) in Cyber Security Market Challenges
2.3.4 Artificial Intelligence (AI) in Cyber Security Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence (AI) in Cyber Security Players by Revenue
3.1.1 Global Top Artificial Intelligence (AI) in Cyber Security Players by Revenue (2020-2025)
3.1.2 Global Artificial Intelligence (AI) in Cyber Security Revenue Market Share by Players (2020-2025)
3.2 Global Top Artificial Intelligence (AI) in Cyber Security Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Artificial Intelligence (AI) in Cyber Security Revenue
3.4 Global Artificial Intelligence (AI) in Cyber Security Market Concentration Ratio
3.4.1 Global Artificial Intelligence (AI) in Cyber Security Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence (AI) in Cyber Security Revenue in 2024
3.5 Global Key Players of Artificial Intelligence (AI) in Cyber Security Head office and Area Served
3.6 Global Key Players of Artificial Intelligence (AI) in Cyber Security, Product and Application
3.7 Global Key Players of Artificial Intelligence (AI) in Cyber Security, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence (AI) in Cyber Security Breakdown Data by Type
4.1 Global Artificial Intelligence (AI) in Cyber Security Historic Market Size by Type (2020-2025)
4.2 Global Artificial Intelligence (AI) in Cyber Security Forecasted Market Size by Type (2026-2031)
5 Artificial Intelligence (AI) in Cyber Security Breakdown Data by Application
5.1 Global Artificial Intelligence (AI) in Cyber Security Historic Market Size by Application (2020-2025)
5.2 Global Artificial Intelligence (AI) in Cyber Security Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Artificial Intelligence (AI) in Cyber Security Market Size (2020-2031)
6.2 North America Artificial Intelligence (AI) in Cyber Security Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Artificial Intelligence (AI) in Cyber Security Market Size by Country (2020-2025)
6.4 North America Artificial Intelligence (AI) in Cyber Security Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence (AI) in Cyber Security Market Size (2020-2031)
7.2 Europe Artificial Intelligence (AI) in Cyber Security Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Artificial Intelligence (AI) in Cyber Security Market Size by Country (2020-2025)
7.4 Europe Artificial Intelligence (AI) in Cyber Security Market Size by Country (2026-2031)
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 Artificial Intelligence (AI) in Cyber Security Market Size (2020-2031)
8.2 Asia-Pacific Artificial Intelligence (AI) in Cyber Security Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Artificial Intelligence (AI) in Cyber Security Market Size by Region (2020-2025)
8.4 Asia-Pacific Artificial Intelligence (AI) in Cyber Security Market Size by Region (2026-2031)
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 Artificial Intelligence (AI) in Cyber Security Market Size (2020-2031)
9.2 Latin America Artificial Intelligence (AI) in Cyber Security Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Artificial Intelligence (AI) in Cyber Security Market Size by Country (2020-2025)
9.4 Latin America Artificial Intelligence (AI) in Cyber Security Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence (AI) in Cyber Security Market Size (2020-2031)
10.2 Middle East & Africa Artificial Intelligence (AI) in Cyber Security Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Artificial Intelligence (AI) in Cyber Security Market Size by Country (2020-2025)
10.4 Middle East & Africa Artificial Intelligence (AI) in Cyber Security Market Size by Country (2026-2031)
10.5 Israel
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 BAE Systems
11.1.1 BAE Systems Company Details
11.1.2 BAE Systems Business Overview
11.1.3 BAE Systems Artificial Intelligence (AI) in Cyber Security Introduction
11.1.4 BAE Systems Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.1.5 BAE Systems Recent Development
11.2 Cisco
11.2.1 Cisco Company Details
11.2.2 Cisco Business Overview
11.2.3 Cisco Artificial Intelligence (AI) in Cyber Security Introduction
11.2.4 Cisco Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.2.5 Cisco Recent Development
11.3 Fortinet
11.3.1 Fortinet Company Details
11.3.2 Fortinet Business Overview
11.3.3 Fortinet Artificial Intelligence (AI) in Cyber Security Introduction
11.3.4 Fortinet Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.3.5 Fortinet Recent Development
11.4 Symphony Technology Group (Private Equity)
11.4.1 Symphony Technology Group (Private Equity) Company Details
11.4.2 Symphony Technology Group (Private Equity) Business Overview
11.4.3 Symphony Technology Group (Private Equity) Artificial Intelligence (AI) in Cyber Security Introduction
11.4.4 Symphony Technology Group (Private Equity) Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.4.5 Symphony Technology Group (Private Equity) Recent Development
11.5 Check Point
11.5.1 Check Point Company Details
11.5.2 Check Point Business Overview
11.5.3 Check Point Artificial Intelligence (AI) in Cyber Security Introduction
11.5.4 Check Point Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.5.5 Check Point Recent Development
11.6 IBM
11.6.1 IBM Company Details
11.6.2 IBM Business Overview
11.6.3 IBM Artificial Intelligence (AI) in Cyber Security Introduction
11.6.4 IBM Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.6.5 IBM Recent Development
11.7 CrowdStrike
11.7.1 CrowdStrike Company Details
11.7.2 CrowdStrike Business Overview
11.7.3 CrowdStrike Artificial Intelligence (AI) in Cyber Security Introduction
11.7.4 CrowdStrike Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.7.5 CrowdStrike Recent Development
11.8 Symantec
11.8.1 Symantec Company Details
11.8.2 Symantec Business Overview
11.8.3 Symantec Artificial Intelligence (AI) in Cyber Security Introduction
11.8.4 Symantec Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.8.5 Symantec Recent Development
11.9 Juniper Network(HPE)
11.9.1 Juniper Network(HPE) Company Details
11.9.2 Juniper Network(HPE) Business Overview
11.9.3 Juniper Network(HPE) Artificial Intelligence (AI) in Cyber Security Introduction
11.9.4 Juniper Network(HPE) Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.9.5 Juniper Network(HPE) Recent Development
11.10 Palo Alto Networks
11.10.1 Palo Alto Networks Company Details
11.10.2 Palo Alto Networks Business Overview
11.10.3 Palo Alto Networks Artificial Intelligence (AI) in Cyber Security Introduction
11.10.4 Palo Alto Networks Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.10.5 Palo Alto Networks Recent Development
11.11 Sophos
11.11.1 Sophos Company Details
11.11.2 Sophos Business Overview
11.11.3 Sophos Artificial Intelligence (AI) in Cyber Security Introduction
11.11.4 Sophos Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.11.5 Sophos Recent Development
11.12 Microsoft Azure AD
11.12.1 Microsoft Azure AD Company Details
11.12.2 Microsoft Azure AD Business Overview
11.12.3 Microsoft Azure AD Artificial Intelligence (AI) in Cyber Security Introduction
11.12.4 Microsoft Azure AD Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.12.5 Microsoft Azure AD Recent Development
11.13 Darktrace
11.13.1 Darktrace Company Details
11.13.2 Darktrace Business Overview
11.13.3 Darktrace Artificial Intelligence (AI) in Cyber Security Introduction
11.13.4 Darktrace Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.13.5 Darktrace Recent Development
11.14 ServiceNow
11.14.1 ServiceNow Company Details
11.14.2 ServiceNow Business Overview
11.14.3 ServiceNow Artificial Intelligence (AI) in Cyber Security Introduction
11.14.4 ServiceNow Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.14.5 ServiceNow Recent Development
11.15 Netskope
11.15.1 Netskope Company Details
11.15.2 Netskope Business Overview
11.15.3 Netskope Artificial Intelligence (AI) in Cyber Security Introduction
11.15.4 Netskope Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.15.5 Netskope Recent Development
11.16 McAfee
11.16.1 McAfee Company Details
11.16.2 McAfee Business Overview
11.16.3 McAfee Artificial Intelligence (AI) in Cyber Security Introduction
11.16.4 McAfee Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.16.5 McAfee Recent Development
11.17 LogRhythm
11.17.1 LogRhythm Company Details
11.17.2 LogRhythm Business Overview
11.17.3 LogRhythm Artificial Intelligence (AI) in Cyber Security Introduction
11.17.4 LogRhythm Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.17.5 LogRhythm Recent Development
11.18 Rapid7
11.18.1 Rapid7 Company Details
11.18.2 Rapid7 Business Overview
11.18.3 Rapid7 Artificial Intelligence (AI) in Cyber Security Introduction
11.18.4 Rapid7 Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.18.5 Rapid7 Recent Development
11.19 Zscaler AI
11.19.1 Zscaler AI Company Details
11.19.2 Zscaler AI Business Overview
11.19.3 Zscaler AI Artificial Intelligence (AI) in Cyber Security Introduction
11.19.4 Zscaler AI Revenue in Artificial Intelligence (AI) in Cyber Security Business (2020-2025)
11.19.5 Zscaler AI 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
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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