The global market for AI and Machine Learning in Cybersecurity was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for AI and Machine Learning in Cybersecurity was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI and Machine Learning in Cybersecurity was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for AI and Machine Learning in Cybersecurity was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of AI and Machine Learning in Cybersecurity include IBM, Microsoft, Google, Darktrace, FireEye, Juniper Networks, eSentire, Cynet and Cylance, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI and Machine Learning in Cybersecurity, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI and Machine Learning in Cybersecurity by region & country, by Type, and by Application.
The AI and Machine Learning in Cybersecurity market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 and Machine Learning in Cybersecurity.
Market Segmentation
By Company
IBM
Microsoft
Google
Darktrace
FireEye
Juniper Networks
eSentire
Cynet
Cylance
CrowdStrike
Vade Secure
Logrhythm
Cybereason
Blue Hexagon
SparkCognition
DataRobot
Fortinet
Vectra
SAP NS2
Segment by Type:
Deep-learning Solution
Machine Learning
Natural Language Processing
Segment by Application
Large Companies
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
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 AI and Machine Learning in Cybersecurity manufacturers 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 AI and Machine Learning 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 AI and Machine Learning 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.
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1 Market Overview
1.1 AI and Machine Learning in Cybersecurity Product Introduction
1.2 Global AI and Machine Learning in Cybersecurity Market Size Forecast
1.3 AI and Machine Learning in Cybersecurity Market Trends & Drivers
1.3.1 AI and Machine Learning in Cybersecurity Industry Trends
1.3.2 AI and Machine Learning in Cybersecurity Market Drivers & Opportunity
1.3.3 AI and Machine Learning in Cybersecurity Market Challenges
1.3.4 AI and Machine Learning 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 AI and Machine Learning in Cybersecurity Players Revenue Ranking (2023)
2.2 Global AI and Machine Learning in Cybersecurity Revenue by Company (2019-2024)
2.3 Key Companies AI and Machine Learning in Cybersecurity Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI and Machine Learning in Cybersecurity Product Offered
2.5 Key Companies Time to Begin Mass Production of AI and Machine Learning in Cybersecurity
2.6 AI and Machine Learning in Cybersecurity Market Competitive Analysis
2.6.1 AI and Machine Learning in Cybersecurity Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by AI and Machine Learning in Cybersecurity Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI and Machine Learning in Cybersecurity as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Deep-learning Solution
3.1.2 Machine Learning
3.1.3 Natural Language Processing
3.2 Global AI and Machine Learning in Cybersecurity Sales Value by Type
3.2.1 Global AI and Machine Learning in Cybersecurity Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global AI and Machine Learning in Cybersecurity Sales Value, by Type (2019-2030)
3.2.3 Global AI and Machine Learning in Cybersecurity Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Companies
4.1.2 SMEs
4.2 Global AI and Machine Learning in Cybersecurity Sales Value by Application
4.2.1 Global AI and Machine Learning in Cybersecurity Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global AI and Machine Learning in Cybersecurity Sales Value, by Application (2019-2030)
4.2.3 Global AI and Machine Learning in Cybersecurity Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global AI and Machine Learning in Cybersecurity Sales Value by Region
5.1.1 Global AI and Machine Learning in Cybersecurity Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global AI and Machine Learning in Cybersecurity Sales Value by Region (2019-2024)
5.1.3 Global AI and Machine Learning in Cybersecurity Sales Value by Region (2025-2030)
5.1.4 Global AI and Machine Learning in Cybersecurity Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
5.2.2 North America AI and Machine Learning in Cybersecurity Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
5.3.2 Europe AI and Machine Learning in Cybersecurity Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
5.4.2 Asia Pacific AI and Machine Learning in Cybersecurity Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
5.5.2 South America AI and Machine Learning in Cybersecurity Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
5.6.2 Middle East & Africa AI and Machine Learning in Cybersecurity Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI and Machine Learning in Cybersecurity Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions AI and Machine Learning in Cybersecurity Sales Value
6.3 United States
6.3.1 United States AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
6.3.2 United States AI and Machine Learning in Cybersecurity Sales Value by Type (%), 2023 VS 2030
6.3.3 United States AI and Machine Learning in Cybersecurity Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
6.4.2 Europe AI and Machine Learning in Cybersecurity Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe AI and Machine Learning in Cybersecurity Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
6.5.2 China AI and Machine Learning in Cybersecurity Sales Value by Type (%), 2023 VS 2030
6.5.3 China AI and Machine Learning in Cybersecurity Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
6.6.2 Japan AI and Machine Learning in Cybersecurity Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan AI and Machine Learning in Cybersecurity Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
6.7.2 South Korea AI and Machine Learning in Cybersecurity Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea AI and Machine Learning in Cybersecurity Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
6.8.2 Southeast Asia AI and Machine Learning in Cybersecurity Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia AI and Machine Learning in Cybersecurity Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India AI and Machine Learning in Cybersecurity Sales Value, 2019-2030
6.9.2 India AI and Machine Learning in Cybersecurity Sales Value by Type (%), 2023 VS 2030
6.9.3 India AI and Machine Learning in Cybersecurity Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM
7.1.1 IBM Profile
7.1.2 IBM Main Business
7.1.3 IBM AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.1.4 IBM AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Recent Developments
7.2 Microsoft
7.2.1 Microsoft Profile
7.2.2 Microsoft Main Business
7.2.3 Microsoft AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.2.4 Microsoft AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Recent Developments
7.3 Google
7.3.1 Google Profile
7.3.2 Google Main Business
7.3.3 Google AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.3.4 Google AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.3.5 Darktrace Recent Developments
7.4 Darktrace
7.4.1 Darktrace Profile
7.4.2 Darktrace Main Business
7.4.3 Darktrace AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.4.4 Darktrace AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.4.5 Darktrace Recent Developments
7.5 FireEye
7.5.1 FireEye Profile
7.5.2 FireEye Main Business
7.5.3 FireEye AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.5.4 FireEye AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.5.5 FireEye Recent Developments
7.6 Juniper Networks
7.6.1 Juniper Networks Profile
7.6.2 Juniper Networks Main Business
7.6.3 Juniper Networks AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.6.4 Juniper Networks AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.6.5 Juniper Networks Recent Developments
7.7 eSentire
7.7.1 eSentire Profile
7.7.2 eSentire Main Business
7.7.3 eSentire AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.7.4 eSentire AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.7.5 eSentire Recent Developments
7.8 Cynet
7.8.1 Cynet Profile
7.8.2 Cynet Main Business
7.8.3 Cynet AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.8.4 Cynet AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.8.5 Cynet Recent Developments
7.9 Cylance
7.9.1 Cylance Profile
7.9.2 Cylance Main Business
7.9.3 Cylance AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.9.4 Cylance AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.9.5 Cylance Recent Developments
7.10 CrowdStrike
7.10.1 CrowdStrike Profile
7.10.2 CrowdStrike Main Business
7.10.3 CrowdStrike AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.10.4 CrowdStrike AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.10.5 CrowdStrike Recent Developments
7.11 Vade Secure
7.11.1 Vade Secure Profile
7.11.2 Vade Secure Main Business
7.11.3 Vade Secure AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.11.4 Vade Secure AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.11.5 Vade Secure Recent Developments
7.12 Logrhythm
7.12.1 Logrhythm Profile
7.12.2 Logrhythm Main Business
7.12.3 Logrhythm AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.12.4 Logrhythm AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.12.5 Logrhythm Recent Developments
7.13 Cybereason
7.13.1 Cybereason Profile
7.13.2 Cybereason Main Business
7.13.3 Cybereason AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.13.4 Cybereason AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.13.5 Cybereason Recent Developments
7.14 Blue Hexagon
7.14.1 Blue Hexagon Profile
7.14.2 Blue Hexagon Main Business
7.14.3 Blue Hexagon AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.14.4 Blue Hexagon AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.14.5 Blue Hexagon Recent Developments
7.15 SparkCognition
7.15.1 SparkCognition Profile
7.15.2 SparkCognition Main Business
7.15.3 SparkCognition AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.15.4 SparkCognition AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.15.5 SparkCognition Recent Developments
7.16 DataRobot
7.16.1 DataRobot Profile
7.16.2 DataRobot Main Business
7.16.3 DataRobot AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.16.4 DataRobot AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.16.5 DataRobot Recent Developments
7.17 Fortinet
7.17.1 Fortinet Profile
7.17.2 Fortinet Main Business
7.17.3 Fortinet AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.17.4 Fortinet AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.17.5 Fortinet Recent Developments
7.18 Vectra
7.18.1 Vectra Profile
7.18.2 Vectra Main Business
7.18.3 Vectra AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.18.4 Vectra AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.18.5 Vectra Recent Developments
7.19 SAP NS2
7.19.1 SAP NS2 Profile
7.19.2 SAP NS2 Main Business
7.19.3 SAP NS2 AI and Machine Learning in Cybersecurity Products, Services and Solutions
7.19.4 SAP NS2 AI and Machine Learning in Cybersecurity Revenue (US$ Million) & (2019-2024)
7.19.5 SAP NS2 Recent Developments
8 Industry Chain Analysis
8.1 AI and Machine Learning in Cybersecurity Industrial Chain
8.2 AI and Machine Learning 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 AI and Machine Learning in Cybersecurity Sales Model
8.5.2 Sales Channel
8.5.3 AI and Machine Learning in Cybersecurity Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
IBM
Microsoft
Google
Darktrace
FireEye
Juniper Networks
eSentire
Cynet
Cylance
CrowdStrike
Vade Secure
Logrhythm
Cybereason
Blue Hexagon
SparkCognition
DataRobot
Fortinet
Vectra
SAP NS2
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*If Applicable.
