Global AI and Machine Learning in Cybersecurity Market Research Report 2023

Publication ID:

PB504230411

Publication Date:

May 29, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global AI and Machine Learning in Cybersecurity market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for AI and Machine Learning in Cybersecurity is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for AI and Machine Learning in Cybersecurity is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for AI and Machine Learning in Cybersecurity in Large Companies is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of AI and Machine Learning in Cybersecurity include IBM, Microsoft, Google, Darktrace, FireEye, Juniper Networks, eSentire, Cynet and Cylance, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI and Machine Learning in 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 and Machine Learning in Cybersecurity.
The AI and Machine Learning in Cybersecurity market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global AI and Machine Learning in 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 and Machine Learning in Cybersecurity companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
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
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by 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: 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 and Machine Learning in 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 key companies in the market in detail, including product revenue, 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 and Machine Learning in Cybersecurity Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Deep-learning Solution
1.2.3 Machine Learning
1.2.4 Natural Language Processing
1.3 Market by Application
1.3.1 Global AI and Machine Learning in Cybersecurity Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Large Companies
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI and Machine Learning in Cybersecurity Market Perspective (2018-2029)
2.2 AI and Machine Learning in Cybersecurity Growth Trends by Region
2.2.1 Global AI and Machine Learning in Cybersecurity Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 AI and Machine Learning in Cybersecurity Historic Market Size by Region (2018-2023)
2.2.3 AI and Machine Learning in Cybersecurity Forecasted Market Size by Region (2024-2029)
2.3 AI and Machine Learning in Cybersecurity Market Dynamics
2.3.1 AI and Machine Learning in Cybersecurity Industry Trends
2.3.2 AI and Machine Learning in Cybersecurity Market Drivers
2.3.3 AI and Machine Learning in Cybersecurity Market Challenges
2.3.4 AI and Machine Learning in Cybersecurity Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI and Machine Learning in Cybersecurity Players by Revenue
3.1.1 Global Top AI and Machine Learning in Cybersecurity Players by Revenue (2018-2023)
3.1.2 Global AI and Machine Learning in Cybersecurity Revenue Market Share by Players (2018-2023)
3.2 Global AI and Machine Learning in Cybersecurity Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI and Machine Learning in Cybersecurity Revenue
3.4 Global AI and Machine Learning in Cybersecurity Market Concentration Ratio
3.4.1 Global AI and Machine Learning in Cybersecurity Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI and Machine Learning in Cybersecurity Revenue in 2022
3.5 AI and Machine Learning in Cybersecurity Key Players Head office and Area Served
3.6 Key Players AI and Machine Learning in Cybersecurity Product Solution and Service
3.7 Date of Enter into AI and Machine Learning in Cybersecurity Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI and Machine Learning in Cybersecurity Breakdown Data by Type
4.1 Global AI and Machine Learning in Cybersecurity Historic Market Size by Type (2018-2023)
4.2 Global AI and Machine Learning in Cybersecurity Forecasted Market Size by Type (2024-2029)
5 AI and Machine Learning in Cybersecurity Breakdown Data by Application
5.1 Global AI and Machine Learning in Cybersecurity Historic Market Size by Application (2018-2023)
5.2 Global AI and Machine Learning in Cybersecurity Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America AI and Machine Learning in Cybersecurity Market Size (2018-2029)
6.2 North America AI and Machine Learning in Cybersecurity Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America AI and Machine Learning in Cybersecurity Market Size by Country (2018-2023)
6.4 North America AI and Machine Learning in Cybersecurity Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI and Machine Learning in Cybersecurity Market Size (2018-2029)
7.2 Europe AI and Machine Learning in Cybersecurity Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe AI and Machine Learning in Cybersecurity Market Size by Country (2018-2023)
7.4 Europe AI and Machine Learning in Cybersecurity Market Size by Country (2024-2029)
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 and Machine Learning in Cybersecurity Market Size (2018-2029)
8.2 Asia-Pacific AI and Machine Learning in Cybersecurity Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific AI and Machine Learning in Cybersecurity Market Size by Region (2018-2023)
8.4 Asia-Pacific AI and Machine Learning in Cybersecurity Market Size by Region (2024-2029)
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 and Machine Learning in Cybersecurity Market Size (2018-2029)
9.2 Latin America AI and Machine Learning in Cybersecurity Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America AI and Machine Learning in Cybersecurity Market Size by Country (2018-2023)
9.4 Latin America AI and Machine Learning in Cybersecurity Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI and Machine Learning in Cybersecurity Market Size (2018-2029)
10.2 Middle East & Africa AI and Machine Learning in Cybersecurity Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa AI and Machine Learning in Cybersecurity Market Size by Country (2018-2023)
10.4 Middle East & Africa AI and Machine Learning in Cybersecurity Market Size by Country (2024-2029)
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 and Machine Learning in Cybersecurity Introduction
11.1.4 IBM Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.1.5 IBM Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft AI and Machine Learning in Cybersecurity Introduction
11.2.4 Microsoft Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.2.5 Microsoft Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google AI and Machine Learning in Cybersecurity Introduction
11.3.4 Google Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.3.5 Google Recent Development
11.4 Darktrace
11.4.1 Darktrace Company Detail
11.4.2 Darktrace Business Overview
11.4.3 Darktrace AI and Machine Learning in Cybersecurity Introduction
11.4.4 Darktrace Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.4.5 Darktrace Recent Development
11.5 FireEye
11.5.1 FireEye Company Detail
11.5.2 FireEye Business Overview
11.5.3 FireEye AI and Machine Learning in Cybersecurity Introduction
11.5.4 FireEye Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.5.5 FireEye Recent Development
11.6 Juniper Networks
11.6.1 Juniper Networks Company Detail
11.6.2 Juniper Networks Business Overview
11.6.3 Juniper Networks AI and Machine Learning in Cybersecurity Introduction
11.6.4 Juniper Networks Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.6.5 Juniper Networks Recent Development
11.7 eSentire
11.7.1 eSentire Company Detail
11.7.2 eSentire Business Overview
11.7.3 eSentire AI and Machine Learning in Cybersecurity Introduction
11.7.4 eSentire Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.7.5 eSentire Recent Development
11.8 Cynet
11.8.1 Cynet Company Detail
11.8.2 Cynet Business Overview
11.8.3 Cynet AI and Machine Learning in Cybersecurity Introduction
11.8.4 Cynet Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.8.5 Cynet Recent Development
11.9 Cylance
11.9.1 Cylance Company Detail
11.9.2 Cylance Business Overview
11.9.3 Cylance AI and Machine Learning in Cybersecurity Introduction
11.9.4 Cylance Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.9.5 Cylance Recent Development
11.10 CrowdStrike
11.10.1 CrowdStrike Company Detail
11.10.2 CrowdStrike Business Overview
11.10.3 CrowdStrike AI and Machine Learning in Cybersecurity Introduction
11.10.4 CrowdStrike Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.10.5 CrowdStrike Recent Development
11.11 Vade Secure
11.11.1 Vade Secure Company Detail
11.11.2 Vade Secure Business Overview
11.11.3 Vade Secure AI and Machine Learning in Cybersecurity Introduction
11.11.4 Vade Secure Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.11.5 Vade Secure Recent Development
11.12 Logrhythm
11.12.1 Logrhythm Company Detail
11.12.2 Logrhythm Business Overview
11.12.3 Logrhythm AI and Machine Learning in Cybersecurity Introduction
11.12.4 Logrhythm Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.12.5 Logrhythm Recent Development
11.13 Cybereason
11.13.1 Cybereason Company Detail
11.13.2 Cybereason Business Overview
11.13.3 Cybereason AI and Machine Learning in Cybersecurity Introduction
11.13.4 Cybereason Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.13.5 Cybereason Recent Development
11.14 Blue Hexagon
11.14.1 Blue Hexagon Company Detail
11.14.2 Blue Hexagon Business Overview
11.14.3 Blue Hexagon AI and Machine Learning in Cybersecurity Introduction
11.14.4 Blue Hexagon Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.14.5 Blue Hexagon Recent Development
11.15 SparkCognition
11.15.1 SparkCognition Company Detail
11.15.2 SparkCognition Business Overview
11.15.3 SparkCognition AI and Machine Learning in Cybersecurity Introduction
11.15.4 SparkCognition Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.15.5 SparkCognition Recent Development
11.16 DataRobot
11.16.1 DataRobot Company Detail
11.16.2 DataRobot Business Overview
11.16.3 DataRobot AI and Machine Learning in Cybersecurity Introduction
11.16.4 DataRobot Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.16.5 DataRobot Recent Development
11.17 Fortinet
11.17.1 Fortinet Company Detail
11.17.2 Fortinet Business Overview
11.17.3 Fortinet AI and Machine Learning in Cybersecurity Introduction
11.17.4 Fortinet Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.17.5 Fortinet Recent Development
11.18 Vectra
11.18.1 Vectra Company Detail
11.18.2 Vectra Business Overview
11.18.3 Vectra AI and Machine Learning in Cybersecurity Introduction
11.18.4 Vectra Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.18.5 Vectra Recent Development
11.19 SAP NS2
11.19.1 SAP NS2 Company Detail
11.19.2 SAP NS2 Business Overview
11.19.3 SAP NS2 AI and Machine Learning in Cybersecurity Introduction
11.19.4 SAP NS2 Revenue in AI and Machine Learning in Cybersecurity Business (2018-2023)
11.19.5 SAP NS2 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
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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