The Artificial Intelligence in Cyber Security Market is expected to grow from USD 5.08 billion in 2020 to USD 14.18 billion by 2026 at a CAGR of 18.64% from 2020 to 2026.
Artificial Intelligence (AI) is a technology which allows software, machinery and systems to mimic human intelligence and behavior in the form of computer interactions. AI has a prominent role in cyber security. Artificial intelligence in cyber security facilitates expertise to analyze, study, and recognize the cyber-crime attributes along with speech recognition technology, facial recognition software and Google’s search engine. Emergence of artificial intelligence enhances cyber security technologies and is used to act against cybercriminals. Artificial intelligence in cyber security is designed in such a way that it responds to the cyber-attacks within fraction of seconds. Increase in number of cybercrimes propels the artificial intelligence (AI) in cyber security market. Global rise in IoT adoption and number of connected devices have concurrently increased the risk of cyber attacks. Most of the mutual cyber frauds happened and registered by large companies such as payment card thefts and identities, if not fixed on time can result in heavy financial losses. Therefore, deployment of advance AI security solutions is projected to accelerate growth of the market. AI security solutions not only offer broader security over the human capabilities but also streamline complete acknowledgment and recognition procedures associated to cyber frauds. Thereby, increase in cyber security risk incidences is further anticipated to fuel the adoption of artificial intelligence technology in cyber security market. On the other hand, lack of artificial intelligence technical skills for advance software implementation can hinder the artificial intelligence in cyber security market growth. Besides that, the surge in demand for cloud-based security solutions across small and medium businesses and surge in use of digital media for business growth are the opportunity factors for the global market.
Furthermore, with the COVID-19 pandemic, various organizations are functioning work from home over the organization's network. This promoted excess internet usage and exposed various loopholes for phishing attacks, data theft, mail spams, ransomware attacks and data breaches in an organization. Depending on remote access systems is making organizations more exposed to DDOS and phishing attacks. Therefore, various leading players are planning their strategies accordingly by making sure the remote access system is sufficiently dependent to resist cyber threats and rethink their cyber risk management measures.
The global Artificial Intelligence in Cyber Security Market is segregated on the basis of Security Type as Application Security, Cloud Security, Endpoint Security and Network Security. Based on Technology the global Artificial Intelligence in Cyber Security Market is segmented in Context-Aware Computing, Machine Learning and Natural Language Processing. Based on Application the global Artificial Intelligence in Cyber Security Market is segmented in Antivirus/Antimalware, Data Loss Prevention, Fraud Detection/Anti-Fraud, Intrusion Detection/Prevention System, Security & Vulnerability Management, Unified Threat Management and Others.
The global Artificial Intelligence in Cyber Security Market report provides geographic analysis covering regions, such as Europe, North America, Asia Pacific, and Rest of The World. The Artificial Intelligence in Cyber Security Market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.
Competitive Analysis
IBM, NVIDIA, Intel, Xilinx, Samsung Electronics and others are among the major players in the global Artificial Intelligence in Cyber Security Market. The companies studied in terms of product strategy and various n several growth and expansion strategies to gain a competitive edge in the market. The major players not only follow value chain integration with business operations in multiple stages of the value chain.
The global Artificial Intelligence in Cyber Security Market has been segmented as below:
Artificial Intelligence in Cyber Security Market, By Security Type
Artificial Intelligence in Cyber Security Market, By Technology
Artificial Intelligence in Cyber Security Market, By Application
Artificial Intelligence in Cyber Security Market, By Region
Artificial Intelligence in Cyber Security Market, By Company
The report covers the below scope:
The years considered for the study are as follows:
Report Scope:
The global Artificial Intelligence in Cyber Security Market report scope includes detailed study covering underlying factors influencing the industry trends. The report covers analysis on regional and country level market dynamics. The scope also covers competitive overview providing company market shares along with company profiles for major revenue contributing companies. The report scope includes detailed competitive outlook covering market shares and profiles key participants in the global Artificial Intelligence in Cyber Security Market share. Major industry players with significant revenue share include IBM, NVIDIA, Intel, Xilinx, Samsung Electronics and others.
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Report Content
1. Introduction
1.1. Key Points
1.2. Report Description
1.3. Markets Covered
1.4. Stakeholders
2. Research Methodology
2.1. Research Scope
2.2. Research Methodology
2.2.1. Market Research Process
2.2.2. Research Methodology
2.2.2.1. Secondary Research
2.2.2.2. Primary Research
2.2.2.3. Models for Estimation
2.3. Market Size Estimation
2.3.1. Bottom-Up Approach
2.3.2. Top-Down Approach
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Drivers
4.3. Restraints
4.4. Opportunities
4.5. Challenges
5. Artificial Intelligence in Cyber Security Market, By Security Type
5.1. Key Points
5.2. Application Security
5.3. Cloud Security
5.4. Endpoint Security
5.5. Network Security
6. Artificial Intelligence in Cyber Security Market, By Technology
6.1. Key Points
6.2. Context-Aware Computing
6.3. Machine Learning
6.4. Natural Language Processing
7. Artificial Intelligence in Cyber Security Market, By Application
7.1. Key Points
7.2. Antivirus/Antimalware
7.3. Data Loss Prevention
7.4. Fraud Detection/Anti-Fraud
7.5. Intrusion Detection/Prevention System
7.6. Security & Vulnerability Management
7.7. Unified Threat Management
7.8. Others
8. Competitive Landscape
8.1. Introduction
8.2. Start-up companies- Artificial Intelligence in Cyber Security Market
8.3. Recent Developments
8.3.1. Mergers & Acquisitions
8.3.2. New Product Developments
8.3.3. Portfolio/Production Capacity Expansions
8.3.4. Joint Ventures, Collaborations, Partnerships & Agreements
8.3.5. Others
9. Company Profile
9.1. IBM
9.2. NVIDIA
9.3. Intel
9.4. Xilinx
9.5. Samsung Electronics
9.6. Micron Technology
9.7. AWS
9.8. Darktrace
9.9. Cylance
9.10. Vectra AI
9.11. ThreatMetrix
9.12. Securonix
9.13. Sift Science
9.14. Acalvio Technologies
9.15. Sparkcongnition
9.16. Palo Alto Network
9.17. Fireeye
9.18. Symantec
9.19. Fortinet
9.20. Check Point Software Technologies
9.21. Immuniweb
Artificial Intelligence in Cyber Security Market, By Security Type
Artificial Intelligence in Cyber Security Market, By Technology
Artificial Intelligence in Cyber Security Market, By Application