Artificial intelligence is the new golden ring for cybersecurity developers, thanks to its potential to not just automate functions at scale but also to make contextual decisions based on what it learns over time. This can have big implications for security personnel—all too often, companies simply don’t have the resources to search through the haystack of anomalies for the proverbial malicious needle.
Market Analysis and Insights: Global AI for Cybersecurity Market
The global AI for Cybersecurity market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The US & Canada market for AI for Cybersecurity is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for AI for Cybersecurity is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The Europe market for AI for Cybersecurity is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The global key companies of AI for Cybersecurity include Cynet, FireEye, Check Point, Symantec, Sophos, IBM, JASK, Zensed and Disrupt6, etc. In 2023, the global top five players had a share approximately % in terms of revenue.
AI for Cybersecurity is widely used in various fields, such as Large Enterprises, SME, Military and Government, etc. Large Enterprises provides greatest supports to the AI for Cybersecurity industry development. In 2023, global % revenue of AI for Cybersecurity went into Large Enterprises filed and the proportion will reach to % in 2030.
Report Covers:
This report presents an overview of global market for AI for Cybersecurity market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of AI for Cybersecurity, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for AI for Cybersecurity, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI for Cybersecurity revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global AI for Cybersecurity market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for AI for Cybersecurity revenue, projected growth trends, production technology, application and end-user industry.
Market Segmentation
By Company
Cynet
FireEye
Check Point
Symantec
Sophos
IBM
JASK
Zensed
Disrupt6
High-Tech Bridge
Status Today
Sovereign Intelligence
Securonix
Fortinet
Cylance
Vectra
Harvest.ai
Segment by Type
Critical Infrastructure Security
Application Security
Network Security
Cloud Security
Internet of Things (IoT) Security
Segment by Application
Large Enterprises
SME
Military
Government
Hospital
Individual
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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: Revenue of AI for Cybersecurity in global and regional level. 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. 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 AI for Cybersecurity companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI for Cybersecurity revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI for Cybersecurity Market Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Critical Infrastructure Security
1.2.3 Application Security
1.2.4 Network Security
1.2.5 Cloud Security
1.2.6 Internet of Things (IoT) Security
1.3 Market by Application
1.3.1 Global AI for Cybersecurity Market Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SME
1.3.4 Military
1.3.5 Government
1.3.6 Hospital
1.3.7 Individual
1.3.8 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI for Cybersecurity Market Perspective (2019-2030)
2.2 Global AI for Cybersecurity Growth Trends by Region
2.2.1 AI for Cybersecurity Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI for Cybersecurity Historic Market Size by Region (2019-2024)
2.2.3 AI for Cybersecurity Forecasted Market Size by Region (2025-2030)
2.3 AI for Cybersecurity Market Dynamics
2.3.1 AI for Cybersecurity Industry Trends
2.3.2 AI for Cybersecurity Market Drivers
2.3.3 AI for Cybersecurity Market Challenges
2.3.4 AI for Cybersecurity Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue AI for Cybersecurity by Players
3.1.1 Global AI for Cybersecurity Revenue by Players (2019-2024)
3.1.2 Global AI for Cybersecurity Revenue Market Share by Players (2019-2024)
3.2 Global AI for Cybersecurity Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of AI for Cybersecurity, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global AI for Cybersecurity Market Concentration Ratio
3.4.1 Global AI for Cybersecurity Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI for Cybersecurity Revenue in 2023
3.5 Global Key Players of AI for Cybersecurity Head office and Area Served
3.6 Global Key Players of AI for Cybersecurity, Product and Application
3.7 Global Key Players of AI for Cybersecurity, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI for Cybersecurity Breakdown Data by Type
4.1 Global AI for Cybersecurity Historic Market Size by Type (2019-2024)
4.2 Global AI for Cybersecurity Forecasted Market Size by Type (2025-2030)
5 AI for Cybersecurity Breakdown Data by Application
5.1 Global AI for Cybersecurity Historic Market Size by Application (2019-2024)
5.2 Global AI for Cybersecurity Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI for Cybersecurity Market Size (2019-2030)
6.2 North America AI for Cybersecurity Market Size by Type
6.2.1 North America AI for Cybersecurity Market Size by Type (2019-2024)
6.2.2 North America AI for Cybersecurity Market Size by Type (2025-2030)
6.2.3 North America AI for Cybersecurity Market Share by Type (2019-2030)
6.3 North America AI for Cybersecurity Market Size by Application
6.3.1 North America AI for Cybersecurity Market Size by Application (2019-2024)
6.3.2 North America AI for Cybersecurity Market Size by Application (2025-2030)
6.3.3 North America AI for Cybersecurity Market Share by Application (2019-2030)
6.4 North America AI for Cybersecurity Market Size by Country
6.4.1 North America AI for Cybersecurity Market Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America AI for Cybersecurity Market Size by Country (2019-2024)
6.4.3 North America AI for Cybersecurity Market Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe AI for Cybersecurity Market Size (2019-2030)
7.2 Europe AI for Cybersecurity Market Size by Type
7.2.1 Europe AI for Cybersecurity Market Size by Type (2019-2024)
7.2.2 Europe AI for Cybersecurity Market Size by Type (2025-2030)
7.2.3 Europe AI for Cybersecurity Market Share by Type (2019-2030)
7.3 Europe AI for Cybersecurity Market Size by Application
7.3.1 Europe AI for Cybersecurity Market Size by Application (2019-2024)
7.3.2 Europe AI for Cybersecurity Market Size by Application (2025-2030)
7.3.3 Europe AI for Cybersecurity Market Share by Application (2019-2030)
7.4 Europe AI for Cybersecurity Market Size by Country
7.4.1 Europe AI for Cybersecurity Market Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe AI for Cybersecurity Market Size by Country (2019-2024)
7.4.3 Europe AI for Cybersecurity Market Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China AI for Cybersecurity Market Size (2019-2030)
8.2 China AI for Cybersecurity Market Size by Type
8.2.1 China AI for Cybersecurity Market Size by Type (2019-2024)
8.2.2 China AI for Cybersecurity Market Size by Type (2025-2030)
8.2.3 China AI for Cybersecurity Market Share by Type (2019-2030)
8.3 China AI for Cybersecurity Market Size by Application
8.3.1 China AI for Cybersecurity Market Size by Application (2019-2024)
8.3.2 China AI for Cybersecurity Market Size by Application (2025-2030)
8.3.3 China AI for Cybersecurity Market Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia AI for Cybersecurity Market Size (2019-2030)
9.2 Asia AI for Cybersecurity Market Size by Type
9.2.1 Asia AI for Cybersecurity Market Size by Type (2019-2024)
9.2.2 Asia AI for Cybersecurity Market Size by Type (2025-2030)
9.2.3 Asia AI for Cybersecurity Market Share by Type (2019-2030)
9.3 Asia AI for Cybersecurity Market Size by Application
9.3.1 Asia AI for Cybersecurity Market Size by Application (2019-2024)
9.3.2 Asia AI for Cybersecurity Market Size by Application (2025-2030)
9.3.3 Asia AI for Cybersecurity Market Share by Application (2019-2030)
9.4 Asia AI for Cybersecurity Market Size by Region
9.4.1 Asia AI for Cybersecurity Market Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia AI for Cybersecurity Market Size by Region (2019-2024)
9.4.3 Asia AI for Cybersecurity Market Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America AI for Cybersecurity Market Size (2019-2030)
10.2 Middle East, Africa, and Latin America AI for Cybersecurity Market Size by Type
10.2.1 Middle East, Africa, and Latin America AI for Cybersecurity Market Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America AI for Cybersecurity Market Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America AI for Cybersecurity Market Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America AI for Cybersecurity Market Size by Application
10.3.1 Middle East, Africa, and Latin America AI for Cybersecurity Market Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America AI for Cybersecurity Market Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America AI for Cybersecurity Market Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America AI for Cybersecurity Market Size by Country
10.4.1 Middle East, Africa, and Latin America AI for Cybersecurity Market Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America AI for Cybersecurity Market Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America AI for Cybersecurity Market Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Cynet
11.1.1 Cynet Company Details
11.1.2 Cynet Business Overview
11.1.3 Cynet AI for Cybersecurity Introduction
11.1.4 Cynet Revenue in AI for Cybersecurity Business (2019-2024)
11.1.5 Cynet Recent Developments
11.2 FireEye
11.2.1 FireEye Company Details
11.2.2 FireEye Business Overview
11.2.3 FireEye AI for Cybersecurity Introduction
11.2.4 FireEye Revenue in AI for Cybersecurity Business (2019-2024)
11.2.5 FireEye Recent Developments
11.3 Check Point
11.3.1 Check Point Company Details
11.3.2 Check Point Business Overview
11.3.3 Check Point AI for Cybersecurity Introduction
11.3.4 Check Point Revenue in AI for Cybersecurity Business (2019-2024)
11.3.5 Check Point Recent Developments
11.4 Symantec
11.4.1 Symantec Company Details
11.4.2 Symantec Business Overview
11.4.3 Symantec AI for Cybersecurity Introduction
11.4.4 Symantec Revenue in AI for Cybersecurity Business (2019-2024)
11.4.5 Symantec Recent Developments
11.5 Sophos
11.5.1 Sophos Company Details
11.5.2 Sophos Business Overview
11.5.3 Sophos AI for Cybersecurity Introduction
11.5.4 Sophos Revenue in AI for Cybersecurity Business (2019-2024)
11.5.5 Sophos Recent Developments
11.6 IBM
11.6.1 IBM Company Details
11.6.2 IBM Business Overview
11.6.3 IBM AI for Cybersecurity Introduction
11.6.4 IBM Revenue in AI for Cybersecurity Business (2019-2024)
11.6.5 IBM Recent Developments
11.7 JASK
11.7.1 JASK Company Details
11.7.2 JASK Business Overview
11.7.3 JASK AI for Cybersecurity Introduction
11.7.4 JASK Revenue in AI for Cybersecurity Business (2019-2024)
11.7.5 JASK Recent Developments
11.8 Zensed
11.8.1 Zensed Company Details
11.8.2 Zensed Business Overview
11.8.3 Zensed AI for Cybersecurity Introduction
11.8.4 Zensed Revenue in AI for Cybersecurity Business (2019-2024)
11.8.5 Zensed Recent Developments
11.9 Disrupt6
11.9.1 Disrupt6 Company Details
11.9.2 Disrupt6 Business Overview
11.9.3 Disrupt6 AI for Cybersecurity Introduction
11.9.4 Disrupt6 Revenue in AI for Cybersecurity Business (2019-2024)
11.9.5 Disrupt6 Recent Developments
11.10 High-Tech Bridge
11.10.1 High-Tech Bridge Company Details
11.10.2 High-Tech Bridge Business Overview
11.10.3 High-Tech Bridge AI for Cybersecurity Introduction
11.10.4 High-Tech Bridge Revenue in AI for Cybersecurity Business (2019-2024)
11.10.5 High-Tech Bridge Recent Developments
11.11 Status Today
11.11.1 Status Today Company Details
11.11.2 Status Today Business Overview
11.11.3 Status Today AI for Cybersecurity Introduction
11.11.4 Status Today Revenue in AI for Cybersecurity Business (2019-2024)
11.11.5 Status Today Recent Developments
11.12 Sovereign Intelligence
11.12.1 Sovereign Intelligence Company Details
11.12.2 Sovereign Intelligence Business Overview
11.12.3 Sovereign Intelligence AI for Cybersecurity Introduction
11.12.4 Sovereign Intelligence Revenue in AI for Cybersecurity Business (2019-2024)
11.12.5 Sovereign Intelligence Recent Developments
11.13 Securonix
11.13.1 Securonix Company Details
11.13.2 Securonix Business Overview
11.13.3 Securonix AI for Cybersecurity Introduction
11.13.4 Securonix Revenue in AI for Cybersecurity Business (2019-2024)
11.13.5 Securonix Recent Developments
11.14 Fortinet
11.14.1 Fortinet Company Details
11.14.2 Fortinet Business Overview
11.14.3 Fortinet AI for Cybersecurity Introduction
11.14.4 Fortinet Revenue in AI for Cybersecurity Business (2019-2024)
11.14.5 Fortinet Recent Developments
11.15 Cylance
11.15.1 Cylance Company Details
11.15.2 Cylance Business Overview
11.15.3 Cylance AI for Cybersecurity Introduction
11.15.4 Cylance Revenue in AI for Cybersecurity Business (2019-2024)
11.15.5 Cylance Recent Developments
11.16 Vectra
11.16.1 Vectra Company Details
11.16.2 Vectra Business Overview
11.16.3 Vectra AI for Cybersecurity Introduction
11.16.4 Vectra Revenue in AI for Cybersecurity Business (2019-2024)
11.16.5 Vectra Recent Developments
11.17 Harvest.ai
11.17.1 Harvest.ai Company Details
11.17.2 Harvest.ai Business Overview
11.17.3 Harvest.ai AI for Cybersecurity Introduction
11.17.4 Harvest.ai Revenue in AI for Cybersecurity Business (2019-2024)
11.17.5 Harvest.ai Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Cynet
FireEye
Check Point
Symantec
Sophos
IBM
JASK
Zensed
Disrupt6
High-Tech Bridge
Status Today
Sovereign Intelligence
Securonix
Fortinet
Cylance
Vectra
Harvest.ai
Ěý
Ěý
*If Applicable.
