Global AI-based Cybersecurity Market Research Report 2024

Publication ID:

PB504244354

Publication Date:

April 23, 2024

Pages:

105

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Internet [2]

Computing & Electronics [3]

Description:

As cyberattacks grow in volume and complexity, artificial intelligence (AI) is helping under-resourced security operations analysts stay ahead of threats. AI technologies like machine learning and natural language processing provide rapid insights to cut through the noise of daily alerts, drastically reducing response times. AI-based Softwalso can detect, prevent, and respond to multiple drone or robotics cyber-attacks in real-time
The global AI-based Cybersecurity market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/60 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI-based Cybersecurity, 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 AI-based Cybersecurity.
Report Scope
The AI-based Cybersecurity market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI-based Cybersecurity 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 AI-based Cybersecurity companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
Cisco
Fortinet
Balbix
Darktrace
CrowdStrike
Symantec
Cynet
Check Point
Trend Micro
FireEye
Vectra
BlackBerry Cylance
McAfee
Sophos
Sangfor Technologies
Mobilicom
Muninn
ThreatBook
Vade Secure
Segment by Type
On-Premise
Cloud Based
Segment by Application
BFSI
IT & Telecom
Retail
Healthcare
Government
Manufacturing
Energy
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
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 AI-based Cybersecurity companies鈥� 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.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI-based Cybersecurity Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premise
1.2.3 Cloud Based
1.3 Market by Application
1.3.1 Global AI-based Cybersecurity Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 BFSI
1.3.3 IT & Telecom
1.3.4 Retail
1.3.5 Healthcare
1.3.6 Government
1.3.7 Manufacturing
1.3.8 Energy
1.3.9 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-based Cybersecurity Market Perspective (2019-2030)
2.2 AI-based Cybersecurity Growth Trends by Region
2.2.1 Global AI-based Cybersecurity Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI-based Cybersecurity Historic Market Size by Region (2019-2024)
2.2.3 AI-based Cybersecurity Forecasted Market Size by Region (2025-2030)
2.3 AI-based Cybersecurity Market Dynamics
2.3.1 AI-based Cybersecurity Industry Trends
2.3.2 AI-based Cybersecurity Market Drivers
2.3.3 AI-based Cybersecurity Market Challenges
2.3.4 AI-based Cybersecurity Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-based Cybersecurity Players by Revenue
3.1.1 Global Top AI-based Cybersecurity Players by Revenue (2019-2024)
3.1.2 Global AI-based Cybersecurity Revenue Market Share by Players (2019-2024)
3.2 Global AI-based Cybersecurity Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI-based Cybersecurity Revenue
3.4 Global AI-based Cybersecurity Market Concentration Ratio
3.4.1 Global AI-based Cybersecurity Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-based Cybersecurity Revenue in 2023
3.5 AI-based Cybersecurity Key Players Head office and Area Served
3.6 Key Players AI-based Cybersecurity Product Solution and Service
3.7 Date of Enter into AI-based Cybersecurity Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-based Cybersecurity Breakdown Data by Type
4.1 Global AI-based Cybersecurity Historic Market Size by Type (2019-2024)
4.2 Global AI-based Cybersecurity Forecasted Market Size by Type (2025-2030)
5 AI-based Cybersecurity Breakdown Data by Application
5.1 Global AI-based Cybersecurity Historic Market Size by Application (2019-2024)
5.2 Global AI-based Cybersecurity Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI-based Cybersecurity Market Size (2019-2030)
6.2 North America AI-based Cybersecurity Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI-based Cybersecurity Market Size by Country (2019-2024)
6.4 North America AI-based Cybersecurity Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-based Cybersecurity Market Size (2019-2030)
7.2 Europe AI-based Cybersecurity Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI-based Cybersecurity Market Size by Country (2019-2024)
7.4 Europe AI-based Cybersecurity Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI-based Cybersecurity Market Size (2019-2030)
8.2 Asia-Pacific AI-based Cybersecurity Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI-based Cybersecurity Market Size by Region (2019-2024)
8.4 Asia-Pacific AI-based Cybersecurity Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI-based Cybersecurity Market Size (2019-2030)
9.2 Latin America AI-based Cybersecurity Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI-based Cybersecurity Market Size by Country (2019-2024)
9.4 Latin America AI-based Cybersecurity Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-based Cybersecurity Market Size (2019-2030)
10.2 Middle East & Africa AI-based Cybersecurity Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI-based Cybersecurity Market Size by Country (2019-2024)
10.4 Middle East & Africa AI-based Cybersecurity Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM AI-based Cybersecurity Introduction
11.1.4 IBM Revenue in AI-based Cybersecurity Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Cisco
11.2.1 Cisco Company Detail
11.2.2 Cisco Business Overview
11.2.3 Cisco AI-based Cybersecurity Introduction
11.2.4 Cisco Revenue in AI-based Cybersecurity Business (2019-2024)
11.2.5 Cisco Recent Development
11.3 Fortinet
11.3.1 Fortinet Company Detail
11.3.2 Fortinet Business Overview
11.3.3 Fortinet AI-based Cybersecurity Introduction
11.3.4 Fortinet Revenue in AI-based Cybersecurity Business (2019-2024)
11.3.5 Fortinet Recent Development
11.4 Balbix
11.4.1 Balbix Company Detail
11.4.2 Balbix Business Overview
11.4.3 Balbix AI-based Cybersecurity Introduction
11.4.4 Balbix Revenue in AI-based Cybersecurity Business (2019-2024)
11.4.5 Balbix Recent Development
11.5 Darktrace
11.5.1 Darktrace Company Detail
11.5.2 Darktrace Business Overview
11.5.3 Darktrace AI-based Cybersecurity Introduction
11.5.4 Darktrace Revenue in AI-based Cybersecurity Business (2019-2024)
11.5.5 Darktrace Recent Development
11.6 CrowdStrike
11.6.1 CrowdStrike Company Detail
11.6.2 CrowdStrike Business Overview
11.6.3 CrowdStrike AI-based Cybersecurity Introduction
11.6.4 CrowdStrike Revenue in AI-based Cybersecurity Business (2019-2024)
11.6.5 CrowdStrike Recent Development
11.7 Symantec
11.7.1 Symantec Company Detail
11.7.2 Symantec Business Overview
11.7.3 Symantec AI-based Cybersecurity Introduction
11.7.4 Symantec Revenue in AI-based Cybersecurity Business (2019-2024)
11.7.5 Symantec Recent Development
11.8 Cynet
11.8.1 Cynet Company Detail
11.8.2 Cynet Business Overview
11.8.3 Cynet AI-based Cybersecurity Introduction
11.8.4 Cynet Revenue in AI-based Cybersecurity Business (2019-2024)
11.8.5 Cynet Recent Development
11.9 Check Point
11.9.1 Check Point Company Detail
11.9.2 Check Point Business Overview
11.9.3 Check Point AI-based Cybersecurity Introduction
11.9.4 Check Point Revenue in AI-based Cybersecurity Business (2019-2024)
11.9.5 Check Point Recent Development
11.10 Trend Micro
11.10.1 Trend Micro Company Detail
11.10.2 Trend Micro Business Overview
11.10.3 Trend Micro AI-based Cybersecurity Introduction
11.10.4 Trend Micro Revenue in AI-based Cybersecurity Business (2019-2024)
11.10.5 Trend Micro Recent Development
11.11 FireEye
11.11.1 FireEye Company Detail
11.11.2 FireEye Business Overview
11.11.3 FireEye AI-based Cybersecurity Introduction
11.11.4 FireEye Revenue in AI-based Cybersecurity Business (2019-2024)
11.11.5 FireEye Recent Development
11.12 Vectra
11.12.1 Vectra Company Detail
11.12.2 Vectra Business Overview
11.12.3 Vectra AI-based Cybersecurity Introduction
11.12.4 Vectra Revenue in AI-based Cybersecurity Business (2019-2024)
11.12.5 Vectra Recent Development
11.13 BlackBerry Cylance
11.13.1 BlackBerry Cylance Company Detail
11.13.2 BlackBerry Cylance Business Overview
11.13.3 BlackBerry Cylance AI-based Cybersecurity Introduction
11.13.4 BlackBerry Cylance Revenue in AI-based Cybersecurity Business (2019-2024)
11.13.5 BlackBerry Cylance Recent Development
11.14 McAfee
11.14.1 McAfee Company Detail
11.14.2 McAfee Business Overview
11.14.3 McAfee AI-based Cybersecurity Introduction
11.14.4 McAfee Revenue in AI-based Cybersecurity Business (2019-2024)
11.14.5 McAfee Recent Development
11.15 Sophos
11.15.1 Sophos Company Detail
11.15.2 Sophos Business Overview
11.15.3 Sophos AI-based Cybersecurity Introduction
11.15.4 Sophos Revenue in AI-based Cybersecurity Business (2019-2024)
11.15.5 Sophos Recent Development
11.16 Sangfor Technologies
11.16.1 Sangfor Technologies Company Detail
11.16.2 Sangfor Technologies Business Overview
11.16.3 Sangfor Technologies AI-based Cybersecurity Introduction
11.16.4 Sangfor Technologies Revenue in AI-based Cybersecurity Business (2019-2024)
11.16.5 Sangfor Technologies Recent Development
11.17 Mobilicom
11.17.1 Mobilicom Company Detail
11.17.2 Mobilicom Business Overview
11.17.3 Mobilicom AI-based Cybersecurity Introduction
11.17.4 Mobilicom Revenue in AI-based Cybersecurity Business (2019-2024)
11.17.5 Mobilicom Recent Development
11.18 Muninn
11.18.1 Muninn Company Detail
11.18.2 Muninn Business Overview
11.18.3 Muninn AI-based Cybersecurity Introduction
11.18.4 Muninn Revenue in AI-based Cybersecurity Business (2019-2024)
11.18.5 Muninn Recent Development
11.19 ThreatBook
11.19.1 ThreatBook Company Detail
11.19.2 ThreatBook Business Overview
11.19.3 ThreatBook AI-based Cybersecurity Introduction
11.19.4 ThreatBook Revenue in AI-based Cybersecurity Business (2019-2024)
11.19.5 ThreatBook Recent Development
11.20 Vade Secure
11.20.1 Vade Secure Company Detail
11.20.2 Vade Secure Business Overview
11.20.3 Vade Secure AI-based Cybersecurity Introduction
11.20.4 Vade Secure Revenue in AI-based Cybersecurity Business (2019-2024)
11.20.5 Vade Secure Recent Development
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

Companies Mentioned:

IBM
Cisco
Fortinet
Balbix
Darktrace
CrowdStrike
Symantec
Cynet
Check Point
Trend Micro
FireEye
Vectra
BlackBerry Cylance
McAfee
Sophos
Sangfor Technologies
Mobilicom
Muninn
ThreatBook
Vade Secure

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