Market Overview:
The global AI for cybersecurity market is expected to grow at a CAGR of 16.8% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing adoption of AI in cybersecurity solutions by large enterprises, SMEs, and military organizations across the globe. Additionally, rising concerns over data breaches and cyber-attacks are also fueling the demand for AI-based security solutions. The global AI for cybersecurity market is segmented on the basis of type, application, and region. On the basis of type, it is divided into critical infrastructure security, application security, network security cloud security internet of things (IoT)security). Critical infrastructure security held a dominant share in 2017 and is expected to maintain its lead duringthe forecast period owingto growing concerns over data breachesand cyber-attacksin critical infrastructure sectors such as energy & utilities transportation healthcare BFSI etc.).
Product Definition:
Artificial intelligence (AI) for cybersecurity is the use of AI technologies to identify and respond to cyber threats. AI can help identify threats that are missed by traditional security measures, as well as automatically responding to attacks.
Critical Infrastructure Security:
Critical infrastructure security is the collection of systems and assets, which if damaged or destroyed would result in significant loss for a nation. It includes government as well as private sector utilities such as power generation plants, transportation facilities, energy production & distribution facilities and financial institutions. The primary function of CIS is to ensure that these systems are not vulnerable to cyber-attacks by hackers for personal gains or money.
Application Security:
Application security is a field of study that deals with threats to digital applications and their functionalities. It includes the study of software development lifecycle, application architecture, application technologies (API), testing methodologies, code review processes and tools among others. The growing adoption rate of cloud-based solutions has led to an increase in the number of cyberattacks on these solutions which is expected to drive market growth over the forecast period.
Application Insights:
The large enterprises segment dominated the market in 2017 and is expected to continue its dominance over the forecast period. The growth of this segment can be attributed to factors such as increasing adoption of AI across large enterprises for various purposes, growing concerns related to data breaches and rising demand for robust security solutions. Large enterprise application security solutions are based on a combination of technologies, such as machine learning, natural language processing, image recognition and other advanced techniques that enhance end-user productivity by enabling users with digital assistance.
The small & medium-sized businesses (SMBs) segment is anticipated to register significant growth over the forecast period owing to increasing adoption of cloud computing services among SMBs coupled with an increase in cyberattacks targeting these organizations. SMB cybersecurity solution vendors are focusing on providing easy-to-deploy multi-factor authentication systems that help secure access from remote or mobile users by generating One Time Passwords (OTPs).
Regional Analysis:
North America is expected to dominate the market over the forecast period. The growth can be attributed to increasing cyberattacks and IT infrastructure vulnerability in organizations, which are adopting artificial intelligence solutions for threat detection and mitigation. Moreover, growing adoption of cloud computing has led to increased data storage in digital format, thereby creating new avenues for AI-based cybersecurity solutions.
The Asia Pacific region is anticipated to witness significant growth over the next eight years owing to increasing government initiatives towards developing a robust cyberspace security framework that includes critical infrastructure protection as well as individual online privacy and security.
Growth Factors:
- Increasing demand for AI-enabled cybersecurity solutions from small and medium businesses (SMBs) due to the increasing sophistication of cyber threats.
- The increasing adoption of AI by large enterprises to enhance their existing cybersecurity infrastructure and capabilities.
- The growing number of partnerships and collaborations between AI providers and cybersecurity vendors to develop innovative solutions that address the complex security needs of organizations.
- The increasing investment in research and development (R&D) activities for developing new AI-based cybersecurity solutions by major technology players, startups, and venture capitalists.
- The rising awareness among organizations about the benefits of using AI-enabled cybersecurity solutions in preventing data breaches, malware attacks, etc., which is expected to drive the growth of this market in the coming years
Scope Of The Report
Report Attributes
Report Details
Report Title
AI for Cybersecurity Market Research Report
By Type
Critical Infrastructure Security, Application Security, Network Security, Cloud Security, Internet of Things (IoT) Security
By Application
Large Enterprises, SME, Military, Government, Hospital, Individual, Others
By Companies
Cynet, FireEye, Check Point, Symantec, Sophos, IBM, JASK, Zensed, Disrupt6, High-Tech Bridge, Status Today, Sovereign Intelligence, Securonix, Fortinet, Cylance, Vectra, Harvest.ai
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
124
Number of Tables & Figures
87
Customization Available
Yes, the report can be customized as per your need.
Global AI for Cybersecurity Market Report Segments:
The global AI for Cybersecurity market is segmented on the basis of:
Types
Critical Infrastructure Security, Application Security, Network Security, Cloud Security, Internet of Things (IoT) Security
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprises, SME, Military, Government, Hospital, Individual, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Cynet
- FireEye
- Check Point
- Symantec
- Sophos
- IBM
- JASK
- Zensed
- Disrupt6
- High-Tech Bridge
- Status Today
- Sovereign Intelligence
- Securonix
- Fortinet
- Cylance
- Vectra
- Harvest.ai
Highlights of The AI for Cybersecurity Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Critical Infrastructure Security
- Application Security
- Network Security
- Cloud Security
- Internet of Things (IoT) Security
- By Application:
- Large Enterprises
- SME
- Military
- Government
- Hospital
- Individual
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI for Cybersecurity Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
AI for cybersecurity is the application of artificial intelligence to help protect computer networks and data from cyberattacks. AI can identify patterns in data that indicate a potential attack, and then recommend measures to prevent it.
Some of the major companies in the ai for cybersecurity market are Cynet, FireEye, Check Point, Symantec, Sophos, IBM, JASK, Zensed, Disrupt6, High-Tech Bridge, Status Today, Sovereign Intelligence, Securonix, Fortinet, Cylance, Vectra, Harvest.ai.
The ai for cybersecurity market is expected to register a CAGR of 16.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI for Cybersecurity Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 AI for Cybersecurity Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI for Cybersecurity Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the AI for Cybersecurity Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global AI for Cybersecurity Market Size & Forecast, 2018-2028
4.5.1 AI for Cybersecurity Market Size and Y-o-Y Growth
4.5.2 AI for Cybersecurity Market Absolute $ Opportunity
Chapter 5 Global AI for Cybersecurity Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 AI for Cybersecurity Market Size Forecast by Type
5.2.1 Critical Infrastructure Security
5.2.2 Application Security
5.2.3 Network Security
5.2.4 Cloud Security
5.2.5 Internet of Things (IoT) Security
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI for Cybersecurity Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 AI for Cybersecurity Market Size Forecast by Applications
6.2.1 Large Enterprises
6.2.2 SME
6.2.3 Military
6.2.4 Government
6.2.5 Hospital
6.2.6 Individual
6.2.7 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI for Cybersecurity Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI for Cybersecurity Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America AI for Cybersecurity Analysis and Forecast
9.1 Introduction
9.2 North America AI for Cybersecurity Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America AI for Cybersecurity Market Size Forecast by Type
9.6.1 Critical Infrastructure Security
9.6.2 Application Security
9.6.3 Network Security
9.6.4 Cloud Security
9.6.5 Internet of Things (IoT) Security
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America AI for Cybersecurity Market Size Forecast by Applications
9.10.1 Large Enterprises
9.10.2 SME
9.10.3 Military
9.10.4 Government
9.10.5 Hospital
9.10.6 Individual
9.10.7 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe AI for Cybersecurity Analysis and Forecast
10.1 Introduction
10.2 Europe AI for Cybersecurity Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe AI for Cybersecurity Market Size Forecast by Type
10.6.1 Critical Infrastructure Security
10.6.2 Application Security
10.6.3 Network Security
10.6.4 Cloud Security
10.6.5 Internet of Things (IoT) Security
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe AI for Cybersecurity Market Size Forecast by Applications
10.10.1 Large Enterprises
10.10.2 SME
10.10.3 Military
10.10.4 Government
10.10.5 Hospital
10.10.6 Individual
10.10.7 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific AI for Cybersecurity Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI for Cybersecurity Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific AI for Cybersecurity Market Size Forecast by Type
11.6.1 Critical Infrastructure Security
11.6.2 Application Security
11.6.3 Network Security
11.6.4 Cloud Security
11.6.5 Internet of Things (IoT) Security
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific AI for Cybersecurity Market Size Forecast by Applications
11.10.1 Large Enterprises
11.10.2 SME
11.10.3 Military
11.10.4 Government
11.10.5 Hospital
11.10.6 Individual
11.10.7 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America AI for Cybersecurity Analysis and Forecast
12.1 Introduction
12.2 Latin America AI for Cybersecurity Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America AI for Cybersecurity Market Size Forecast by Type
12.6.1 Critical Infrastructure Security
12.6.2 Application Security
12.6.3 Network Security
12.6.4 Cloud Security
12.6.5 Internet of Things (IoT) Security
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America AI for Cybersecurity Market Size Forecast by Applications
12.10.1 Large Enterprises
12.10.2 SME
12.10.3 Military
12.10.4 Government
12.10.5 Hospital
12.10.6 Individual
12.10.7 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) AI for Cybersecurity Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI for Cybersecurity Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) AI for Cybersecurity Market Size Forecast by Type
13.6.1 Critical Infrastructure Security
13.6.2 Application Security
13.6.3 Network Security
13.6.4 Cloud Security
13.6.5 Internet of Things (IoT) Security
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) AI for Cybersecurity Market Size Forecast by Applications
13.10.1 Large Enterprises
13.10.2 SME
13.10.3 Military
13.10.4 Government
13.10.5 Hospital
13.10.6 Individual
13.10.7 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI for Cybersecurity Market: Competitive Dashboard
14.2 Global AI for Cybersecurity Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Cynet
14.3.2 FireEye
14.3.3 Check Point
14.3.4 Symantec
14.3.5 Sophos
14.3.6 IBM
14.3.7 JASK
14.3.8 Zensed
14.3.9 Disrupt6
14.3.10 High-Tech Bridge
14.3.11 Status Today
14.3.12 Sovereign Intelligence
14.3.13 Securonix
14.3.14 Fortinet
14.3.15 Cylance
14.3.16 Vectra
14.3.17 Harvest.ai
