Industry: Service & Software
Published Date: 2025-03-12
Pages: 99 Pages
Report ld: 4647354
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Applied AI in Cybersecurity Market Size(US$)

CAGR 2025-2031
25.4%
Market Size,2031
USD 12,200
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for Applied AI in Cybersecurity was estimated to be worth US$ 2549 million in 2024 and is forecast to a readjusted size of US$ 12200 million by 2031 with a CAGR of 25.4% during the forecast period 2025-2031.
AI represents a new era in cybersecurity, with its visionary threat detection, adaptive learning, behavioral analysis, pattern recognition, and real-time response capabilities. AI systems are now capable of analyzing vast datasets, detecting subtle anomalies, and identifying complex attack patterns across diverse data sources, even when attackers employ camouflage tactics. This AI-driven approach minimizes false positives, automates real-time threat responses, and empowers proactive threat hunting.
The cybersecurity industry has witnessed immense growth in recent years, and it's reshaping the use of Artificial Intelligence (AI) in cybersecurity. This growth is mainly due to the increasing necessity to protect internet-connected systems, including hardware, software, and data, from a wide range of threats like hacking, malware, phishing, and ransomware. Further, the global cost of damage from cyberattacks is projected to reach a staggering US$ 10.5 trillion annually by 2025, representing a 300% increase from the levels seen in 2015. This alarming trend underscores the urgency for robust cybersecurity measures and the potential for the cybersecurity market to expand even further.
This report aims to provide a comprehensive presentation of the global market for Applied AI in Cybersecurity, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Applied AI in Cybersecurity by region & country, by Type, and by Application.
The Applied AI in Cybersecurity market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. 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 Applied AI in Cybersecurity.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Applied AI in Cybersecurity company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Applied AI in Cybersecurity in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Applied AI in Cybersecurity in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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:
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We unpack rivals’ operation strategies for scattered and highly concentrated industries.
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Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
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TABLE OF CONTENTS
1 Market Overview
1.1 Applied AI in Cybersecurity Product Introduction
1.2 Global Applied AI in Cybersecurity Market Size Forecast (2020-2031)
1.3 Applied AI in Cybersecurity Market Trends & Drivers
1.3.1 Applied AI in Cybersecurity Industry Trends
1.3.2 Applied AI in Cybersecurity Market Drivers & Opportunity
1.3.3 Applied AI in Cybersecurity Market Challenges
1.3.4 Applied AI in Cybersecurity Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Applied AI in Cybersecurity Players Revenue Ranking (2024)
2.2 Global Applied AI in Cybersecurity Revenue by Company (2020-2025)
2.3 Key Companies Applied AI in Cybersecurity Manufacturing Base Distribution and Headquarters
2.4 Key Companies Applied AI in Cybersecurity Product Offered
2.5 Key Companies Time to Begin Mass Production of Applied AI in Cybersecurity
2.6 Applied AI in Cybersecurity Market Competitive Analysis
2.6.1 Applied AI in Cybersecurity Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Applied AI in Cybersecurity Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Applied AI in Cybersecurity as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 On-Premises
3.1.2 Cloud
3.2 Global Applied AI in Cybersecurity Sales Value by Type
3.2.1 Global Applied AI in Cybersecurity Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Applied AI in Cybersecurity Sales Value, by Type (2020-2031)
3.2.3 Global Applied AI in Cybersecurity Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 BFSI
4.1.2 Retail
4.1.3 Government & Defense
4.1.4 Manufacturing
4.1.5 Utilities
4.1.6 Oil & Gas
4.1.7 Healthcare
4.1.8 Automotive & Transportation
4.1.9 Others
4.2 Global Applied AI in Cybersecurity Sales Value by Application
4.2.1 Global Applied AI in Cybersecurity Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global Applied AI in Cybersecurity Sales Value, by Application (2020-2031)
4.2.3 Global Applied AI in Cybersecurity Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global Applied AI in Cybersecurity Sales Value by Region
5.1.1 Global Applied AI in Cybersecurity Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Applied AI in Cybersecurity Sales Value by Region (2020-2025)
5.1.3 Global Applied AI in Cybersecurity Sales Value by Region (2026-2031)
5.1.4 Global Applied AI in Cybersecurity Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Applied AI in Cybersecurity Sales Value, 2020-2031
5.2.2 North America Applied AI in Cybersecurity Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Applied AI in Cybersecurity Sales Value, 2020-2031
5.3.2 Europe Applied AI in Cybersecurity Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Applied AI in Cybersecurity Sales Value, 2020-2031
5.4.2 Asia Pacific Applied AI in Cybersecurity Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Applied AI in Cybersecurity Sales Value, 2020-2031
5.5.2 South America Applied AI in Cybersecurity Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Applied AI in Cybersecurity Sales Value, 2020-2031
5.6.2 Middle East & Africa Applied AI in Cybersecurity Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Applied AI in Cybersecurity Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Applied AI in Cybersecurity Sales Value, 2020-2031
6.3 United States
6.3.1 United States Applied AI in Cybersecurity Sales Value, 2020-2031
6.3.2 United States Applied AI in Cybersecurity Sales Value by Type (%), 2024 VS 2031
6.3.3 United States Applied AI in Cybersecurity Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe Applied AI in Cybersecurity Sales Value, 2020-2031
6.4.2 Europe Applied AI in Cybersecurity Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe Applied AI in Cybersecurity Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China Applied AI in Cybersecurity Sales Value, 2020-2031
6.5.2 China Applied AI in Cybersecurity Sales Value by Type (%), 2024 VS 2031
6.5.3 China Applied AI in Cybersecurity Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan Applied AI in Cybersecurity Sales Value, 2020-2031
6.6.2 Japan Applied AI in Cybersecurity Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan Applied AI in Cybersecurity Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Applied AI in Cybersecurity Sales Value, 2020-2031
6.7.2 South Korea Applied AI in Cybersecurity Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea Applied AI in Cybersecurity Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Applied AI in Cybersecurity Sales Value, 2020-2031
6.8.2 Southeast Asia Applied AI in Cybersecurity Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia Applied AI in Cybersecurity Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India Applied AI in Cybersecurity Sales Value, 2020-2031
6.9.2 India Applied AI in Cybersecurity Sales Value by Type (%), 2024 VS 2031
6.9.3 India Applied AI in Cybersecurity Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 APPLIED AI COMPANY (AAICO)
7.1.1 APPLIED AI COMPANY (AAICO) Profile
7.1.2 APPLIED AI COMPANY (AAICO) Main Business
7.1.3 APPLIED AI COMPANY (AAICO) Applied AI in Cybersecurity Products, Services and Solutions
7.1.4 APPLIED AI COMPANY (AAICO) Applied AI in Cybersecurity Revenue (US$ Million) & (2020-2025)
7.1.5 APPLIED AI COMPANY (AAICO) Recent Developments
7.2 Balbix, Inc.
7.2.1 Balbix, Inc. Profile
7.2.2 Balbix, Inc. Main Business
7.2.3 Balbix, Inc. Applied AI in Cybersecurity Products, Services and Solutions
7.2.4 Balbix, Inc. Applied AI in Cybersecurity Revenue (US$ Million) & (2020-2025)
7.2.5 Balbix, Inc. Recent Developments
7.3 Cisco
7.3.1 Cisco Profile
7.3.2 Cisco Main Business
7.3.3 Cisco Applied AI in Cybersecurity Products, Services and Solutions
7.3.4 Cisco Applied AI in Cybersecurity Revenue (US$ Million) & (2020-2025)
7.3.5 Cisco Recent Developments
7.4 Cybereason
7.4.1 Cybereason Profile
7.4.2 Cybereason Main Business
7.4.3 Cybereason Applied AI in Cybersecurity Products, Services and Solutions
7.4.4 Cybereason Applied AI in Cybersecurity Revenue (US$ Million) & (2020-2025)
7.4.5 Cybereason Recent Developments
7.5 Fortinet
7.5.1 Fortinet Profile
7.5.2 Fortinet Main Business
7.5.3 Fortinet Applied AI in Cybersecurity Products, Services and Solutions
7.5.4 Fortinet Applied AI in Cybersecurity Revenue (US$ Million) & (2020-2025)
7.5.5 Fortinet Recent Developments
7.6 Infosys
7.6.1 Infosys Profile
7.6.2 Infosys Main Business
7.6.3 Infosys Applied AI in Cybersecurity Products, Services and Solutions
7.6.4 Infosys Applied AI in Cybersecurity Revenue (US$ Million) & (2020-2025)
7.6.5 Infosys Recent Developments
7.7 Microsoft Corporation
7.7.1 Microsoft Corporation Profile
7.7.2 Microsoft Corporation Main Business
7.7.3 Microsoft Corporation Applied AI in Cybersecurity Products, Services and Solutions
7.7.4 Microsoft Corporation Applied AI in Cybersecurity Revenue (US$ Million) & (2020-2025)
7.7.5 Microsoft Corporation Recent Developments
7.8 Palo Alto Networks
7.8.1 Palo Alto Networks Profile
7.8.2 Palo Alto Networks Main Business
7.8.3 Palo Alto Networks Applied AI in Cybersecurity Products, Services and Solutions
7.8.4 Palo Alto Networks Applied AI in Cybersecurity Revenue (US$ Million) & (2020-2025)
7.8.5 Palo Alto Networks Recent Developments
7.9 Tessian
7.9.1 Tessian Profile
7.9.2 Tessian Main Business
7.9.3 Tessian Applied AI in Cybersecurity Products, Services and Solutions
7.9.4 Tessian Applied AI in Cybersecurity Revenue (US$ Million) & (2020-2025)
7.9.5 Tessian Recent Developments
7.10 Vectra AI
7.10.1 Vectra AI Profile
7.10.2 Vectra AI Main Business
7.10.3 Vectra AI Applied AI in Cybersecurity Products, Services and Solutions
7.10.4 Vectra AI Applied AI in Cybersecurity Revenue (US$ Million) & (2020-2025)
7.10.5 Vectra AI Recent Developments
8 Industry Chain Analysis
8.1 Applied AI in Cybersecurity Industrial Chain
8.2 Applied AI in Cybersecurity Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Applied AI in Cybersecurity Sales Model
8.5.2 Sales Channel
8.5.3 Applied AI in Cybersecurity Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 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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