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Global AI and Machine Learning in Cybersecurity Market 2025 by Company, Regions, Type and Application, Forecast to 2029
Synopsis
The global AI and Machine Learning in Cybersecurity market size was valued at USD million in 2022 and is forecast to a readjusted size of USD million by 2029 with a CAGR of % during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
This report is a detailed and comprehensive analysis for global AI and Machine Learning in Cybersecurity market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.
Key Features:
Global AI and Machine Learning in Cybersecurity market size and forecasts, in consumption value ($ Million), 2018-2029
Global AI and Machine Learning in Cybersecurity market size and forecasts by region and country, in consumption value ($ Million), 2018-2029
Global AI and Machine Learning in Cybersecurity market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029
Global AI and Machine Learning in Cybersecurity market shares of main players, in revenue ($ Million), 2018-2023
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI and Machine Learning in Cybersecurity
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI and Machine Learning in Cybersecurity market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Microsoft, Google, Darktrace and FireEye, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.
Market segmentation
AI and Machine Learning in Cybersecurity market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Deep-learning Solution
Machine Learning
Natural Language Processing
Market segment by Application
Large Companies
SMEs
Market segment by players, this report covers
IBM
Microsoft
Google
Darktrace
FireEye
Juniper Networks
eSentire
Cynet
Cylance
CrowdStrike
Vade Secure
Logrhythm
Cybereason
Blue Hexagon
SparkCognition
DataRobot
Fortinet
Vectra
SAP NS2
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI and Machine Learning in Cybersecurity product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI and Machine Learning in Cybersecurity, with revenue, gross margin and global market share of AI and Machine Learning in Cybersecurity from 2018 to 2023.
Chapter 3, the AI and Machine Learning in Cybersecurity competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and AI and Machine Learning in Cybersecurity market forecast, by regions, type and application, with consumption value, from 2024 to 2029.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War
Chapter 12, the key raw materials and key suppliers, and industry chain of AI and Machine Learning in Cybersecurity.
Chapter 13, to describe AI and Machine Learning in Cybersecurity research findings and conclusion.
The global AI and Machine Learning in Cybersecurity market size was valued at USD million in 2022 and is forecast to a readjusted size of USD million by 2029 with a CAGR of % during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
This report is a detailed and comprehensive analysis for global AI and Machine Learning in Cybersecurity market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.
Key Features:
Global AI and Machine Learning in Cybersecurity market size and forecasts, in consumption value ($ Million), 2018-2029
Global AI and Machine Learning in Cybersecurity market size and forecasts by region and country, in consumption value ($ Million), 2018-2029
Global AI and Machine Learning in Cybersecurity market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029
Global AI and Machine Learning in Cybersecurity market shares of main players, in revenue ($ Million), 2018-2023
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI and Machine Learning in Cybersecurity
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI and Machine Learning in Cybersecurity market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Microsoft, Google, Darktrace and FireEye, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.
Market segmentation
AI and Machine Learning in Cybersecurity market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Deep-learning Solution
Machine Learning
Natural Language Processing
Market segment by Application
Large Companies
SMEs
Market segment by players, this report covers
IBM
Microsoft
Darktrace
FireEye
Juniper Networks
eSentire
Cynet
Cylance
CrowdStrike
Vade Secure
Logrhythm
Cybereason
Blue Hexagon
SparkCognition
DataRobot
Fortinet
Vectra
SAP NS2
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI and Machine Learning in Cybersecurity product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI and Machine Learning in Cybersecurity, with revenue, gross margin and global market share of AI and Machine Learning in Cybersecurity from 2018 to 2023.
Chapter 3, the AI and Machine Learning in Cybersecurity competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and AI and Machine Learning in Cybersecurity market forecast, by regions, type and application, with consumption value, from 2024 to 2029.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War
Chapter 12, the key raw materials and key suppliers, and industry chain of AI and Machine Learning in Cybersecurity.
Chapter 13, to describe AI and Machine Learning in Cybersecurity research findings and conclusion.
Index1 Market Overview
1.1 Product Overview and Scope of AI and Machine Learning in Cybersecurity
1.2 Market Estimation Caveats and Base Year
1.3 Classification of AI and Machine Learning in Cybersecurity by Type
1.3.1 Overview: Global AI and Machine Learning in Cybersecurity Market Size by Type: 2018 Versus 2022 Versus 2029
1.3.2 Global AI and Machine Learning in Cybersecurity Consumption Value Market Share by Type in 2022
1.3.3 Deep-learning Solution
1.3.4 Machine Learning
1.3.5 Natural Language Processing
1.4 Global AI and Machine Learning in Cybersecurity Market by Application
1.4.1 Overview: Global AI and Machine Learning in Cybersecurity Market Size by Application: 2018 Versus 2022 Versus 2029
1.4.2 Large Companies
1.4.3 SMEs
1.5 Global AI and Machine Learning in Cybersecurity Market Size & Forecast
1.6 Global AI and Machine Learning in Cybersecurity Market Size and Forecast by Region
1.6.1 Global AI and Machine Learning in Cybersecurity Market Size by Region: 2018 VS 2022 VS 2029
1.6.2 Global AI and Machine Learning in Cybersecurity Market Size by Region, (2018-2029)
1.6.3 North America AI and Machine Learning in Cybersecurity Market Size and Prospect (2018-2029)
1.6.4 Europe AI and Machine Learning in Cybersecurity Market Size and Prospect (2018-2029)
1.6.5 Asia-Pacific AI and Machine Learning in Cybersecurity Market Size and Prospect (2018-2029)
1.6.6 South America AI and Machine Learning in Cybersecurity Market Size and Prospect (2018-2029)
1.6.7 Middle East and Africa AI and Machine Learning in Cybersecurity Market Size and Prospect (2018-2029)
2 Company Profiles
2.1 IBM
2.1.1 IBM Details
2.1.2 IBM Major Business
2.1.3 IBM AI and Machine Learning in Cybersecurity Product and Solutions
2.1.4 IBM AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.1.5 IBM Recent Developments and Future Plans
2.2 Microsoft
2.2.1 Microsoft Details
2.2.2 Microsoft Major Business
2.2.3 Microsoft AI and Machine Learning in Cybersecurity Product and Solutions
2.2.4 Microsoft AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.2.5 Microsoft Recent Developments and Future Plans
2.3 Google
2.3.1 Google Details
2.3.2 Google Major Business
2.3.3 Google AI and Machine Learning in Cybersecurity Product and Solutions
2.3.4 Google AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.3.5 Google Recent Developments and Future Plans
2.4 Darktrace
2.4.1 Darktrace Details
2.4.2 Darktrace Major Business
2.4.3 Darktrace AI and Machine Learning in Cybersecurity Product and Solutions
2.4.4 Darktrace AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.4.5 Darktrace Recent Developments and Future Plans
2.5 FireEye
2.5.1 FireEye Details
2.5.2 FireEye Major Business
2.5.3 FireEye AI and Machine Learning in Cybersecurity Product and Solutions
2.5.4 FireEye AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.5.5 FireEye Recent Developments and Future Plans
2.6 Juniper Networks
2.6.1 Juniper Networks Details
2.6.2 Juniper Networks Major Business
2.6.3 Juniper Networks AI and Machine Learning in Cybersecurity Product and Solutions
2.6.4 Juniper Networks AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.6.5 Juniper Networks Recent Developments and Future Plans
2.7 eSentire
2.7.1 eSentire Details
2.7.2 eSentire Major Business
2.7.3 eSentire AI and Machine Learning in Cybersecurity Product and Solutions
2.7.4 eSentire AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.7.5 eSentire Recent Developments and Future Plans
2.8 Cynet
2.8.1 Cynet Details
2.8.2 Cynet Major Business
2.8.3 Cynet AI and Machine Learning in Cybersecurity Product and Solutions
2.8.4 Cynet AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.8.5 Cynet Recent Developments and Future Plans
2.9 Cylance
2.9.1 Cylance Details
2.9.2 Cylance Major Business
2.9.3 Cylance AI and Machine Learning in Cybersecurity Product and Solutions
2.9.4 Cylance AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.9.5 Cylance Recent Developments and Future Plans
2.10 CrowdStrike
2.10.1 CrowdStrike Details
2.10.2 CrowdStrike Major Business
2.10.3 CrowdStrike AI and Machine Learning in Cybersecurity Product and Solutions
2.10.4 CrowdStrike AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.10.5 CrowdStrike Recent Developments and Future Plans
2.11 Vade Secure
2.11.1 Vade Secure Details
2.11.2 Vade Secure Major Business
2.11.3 Vade Secure AI and Machine Learning in Cybersecurity Product and Solutions
2.11.4 Vade Secure AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.11.5 Vade Secure Recent Developments and Future Plans
2.12 Logrhythm
2.12.1 Logrhythm Details
2.12.2 Logrhythm Major Business
2.12.3 Logrhythm AI and Machine Learning in Cybersecurity Product and Solutions
2.12.4 Logrhythm AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.12.5 Logrhythm Recent Developments and Future Plans
2.13 Cybereason
2.13.1 Cybereason Details
2.13.2 Cybereason Major Business
2.13.3 Cybereason AI and Machine Learning in Cybersecurity Product and Solutions
2.13.4 Cybereason AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.13.5 Cybereason Recent Developments and Future Plans
2.14 Blue Hexagon
2.14.1 Blue Hexagon Details
2.14.2 Blue Hexagon Major Business
2.14.3 Blue Hexagon AI and Machine Learning in Cybersecurity Product and Solutions
2.14.4 Blue Hexagon AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.14.5 Blue Hexagon Recent Developments and Future Plans
2.15 SparkCognition
2.15.1 SparkCognition Details
2.15.2 SparkCognition Major Business
2.15.3 SparkCognition AI and Machine Learning in Cybersecurity Product and Solutions
2.15.4 SparkCognition AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.15.5 SparkCognition Recent Developments and Future Plans
2.16 DataRobot
2.16.1 DataRobot Details
2.16.2 DataRobot Major Business
2.16.3 DataRobot AI and Machine Learning in Cybersecurity Product and Solutions
2.16.4 DataRobot AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.16.5 DataRobot Recent Developments and Future Plans
2.17 Fortinet
2.17.1 Fortinet Details
2.17.2 Fortinet Major Business
2.17.3 Fortinet AI and Machine Learning in Cybersecurity Product and Solutions
2.17.4 Fortinet AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.17.5 Fortinet Recent Developments and Future Plans
2.18 Vectra
2.18.1 Vectra Details
2.18.2 Vectra Major Business
2.18.3 Vectra AI and Machine Learning in Cybersecurity Product and Solutions
2.18.4 Vectra AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.18.5 Vectra Recent Developments and Future Plans
2.19 SAP NS2
2.19.1 SAP NS2 Details
2.19.2 SAP NS2 Major Business
2.19.3 SAP NS2 AI and Machine Learning in Cybersecurity Product and Solutions
2.19.4 SAP NS2 AI and Machine Learning in Cybersecurity Revenue, Gross Margin and Market Share (2018-2023)
2.19.5 SAP NS2 Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global AI and Machine Learning in Cybersecurity Revenue and Share by Players (2018-2023)
3.2 Market Share Analysis (2022)
3.2.1 Market Share of AI and Machine Learning in Cybersecurity by Company Revenue
3.2.2 Top 3 AI and Machine Learning in Cybersecurity Players Market Share in 2022
3.2.3 Top 6 AI and Machine Learning in Cybersecurity Players Market Share in 2022
3.3 AI and Machine Learning in Cybersecurity Market: Overall Company Footprint Analysis
3.3.1 AI and Machine Learning in Cybersecurity Market: Region Footprint
3.3.2 AI and Machine Learning in Cybersecurity Market: Company Product Type Footprint
3.3.3 AI and Machine Learning in Cybersecurity Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global AI and Machine Learning in Cybersecurity Consumption Value and Market Share by Type (2018-2023)
4.2 Global AI and Machine Learning in Cybersecurity Market Forecast by Type (2024-2029)
5 Market Size Segment by Application
5.1 Global AI and Machine Learning in Cybersecurity Consumption Value Market Share by Application (2018-2023)
5.2 Global AI and Machine Learning in Cybersecurity Market Forecast by Application (2024-2029)
6 North America
6.1 North America AI and Machine Learning in Cybersecurity Consumption Value by Type (2018-2029)
6.2 North America AI and Machine Learning in Cybersecurity Consumption Value by Application (2018-2029)
6.3 North America AI and Machine Learning in Cybersecurity Market Size by Country
6.3.1 North America AI and Machine Learning in Cybersecurity Consumption Value by Country (2018-2029)
6.3.2 United States AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
6.3.3 Canada AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
6.3.4 Mexico AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
7 Europe
7.1 Europe AI and Machine Learning in Cybersecurity Consumption Value by Type (2018-2029)
7.2 Europe AI and Machine Learning in Cybersecurity Consumption Value by Application (2018-2029)
7.3 Europe AI and Machine Learning in Cybersecurity Market Size by Country
7.3.1 Europe AI and Machine Learning in Cybersecurity Consumption Value by Country (2018-2029)
7.3.2 Germany AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
7.3.3 France AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
7.3.4 United Kingdom AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
7.3.5 Russia AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
7.3.6 Italy AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
8 Asia-Pacific
8.1 Asia-Pacific AI and Machine Learning in Cybersecurity Consumption Value by Type (2018-2029)
8.2 Asia-Pacific AI and Machine Learning in Cybersecurity Consumption Value by Application (2018-2029)
8.3 Asia-Pacific AI and Machine Learning in Cybersecurity Market Size by Region
8.3.1 Asia-Pacific AI and Machine Learning in Cybersecurity Consumption Value by Region (2018-2029)
8.3.2 China AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
8.3.3 Japan AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
8.3.4 South Korea AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
8.3.5 India AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
8.3.6 Southeast Asia AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
8.3.7 Australia AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
9 South America
9.1 South America AI and Machine Learning in Cybersecurity Consumption Value by Type (2018-2029)
9.2 South America AI and Machine Learning in Cybersecurity Consumption Value by Application (2018-2029)
9.3 South America AI and Machine Learning in Cybersecurity Market Size by Country
9.3.1 South America AI and Machine Learning in Cybersecurity Consumption Value by Country (2018-2029)
9.3.2 Brazil AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
9.3.3 Argentina AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
10 Middle East & Africa
10.1 Middle East & Africa AI and Machine Learning in Cybersecurity Consumption Value by Type (2018-2029)
10.2 Middle East & Africa AI and Machine Learning in Cybersecurity Consumption Value by Application (2018-2029)
10.3 Middle East & Africa AI and Machine Learning in Cybersecurity Market Size by Country
10.3.1 Middle East & Africa AI and Machine Learning in Cybersecurity Consumption Value by Country (2018-2029)
10.3.2 Turkey AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
10.3.3 Saudi Arabia AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
10.3.4 UAE AI and Machine Learning in Cybersecurity Market Size and Forecast (2018-2029)
11 Market Dynamics
11.1 AI and Machine Learning in Cybersecurity Market Drivers
11.2 AI and Machine Learning in Cybersecurity Market Restraints
11.3 AI and Machine Learning in Cybersecurity Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
11.5 Influence of COVID-19 and Russia-Ukraine War
11.5.1 Influence of COVID-19
11.5.2 Influence of Russia-Ukraine War
12 Industry Chain Analysis
12.1 AI and Machine Learning in Cybersecurity Industry Chain
12.2 AI and Machine Learning in Cybersecurity Upstream Analysis
12.3 AI and Machine Learning in Cybersecurity Midstream Analysis
12.4 AI and Machine Learning in Cybersecurity Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
Published By : GlobalInfoResearch
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