Artificial Intelligence in Cybersecurity Market Definition
The artificial intelligence in cybersecurity enhances efficiency and effectiveness of the cyber networks. AI in cybersecurity is used to detect threats and other malicious activities online. The other systems cannot prevent the malware that is created every month, this is where AI can impact positively into providing the cybersecurity by responding in an intelligent way. The cybersecurity companies are programming AI systems to detect viruses and malware so as to run pattern recognition in software. It understands the relevance and consequences of a breach or any change of behavior and develops a real-time proportionate response.
The market study is broken down by Type (Machine Learning, Natural Language Processing, Context-Aware Computing and Other), by Application (Security & Vulnerability Management, Antivirus/Antimalware, Fraud Detection/Anti-Fraud, Intrusion Detection/Prevention System, Threat Intelligence, Data Loss Prevention and Others) and major geographies with country level splits.
Cisco Systems, Inc. (United States), BAE Systems (United Kingdom), Fortinet, Inc. (United States), Check Point Software Technologies Ltd. (Israel), IBM (United States), RSA Security LLC (United States), Juniper Networks, Inc. (United States), Palo Alto Networks, Inc. (United States), Cylance Inc. (United States) and Darktrace (United Kingdom) are some of the key players that are part of study coverage.
AdvanceMarketAnalytics has segmented the market of Global Artificial Intelligence in Cybersecurity market by Type, Application and Region.
On the basis of geography, the market of Artificial Intelligence in Cybersecurity has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Industry Verticals, the sub-segment i.e. BFSI will boost the Artificial Intelligence in Cybersecurity market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment, the sub-segment i.e. Cloud-based will boost the Artificial Intelligence in Cybersecurity market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Security, the sub-segment i.e. Network Security will boost the Artificial Intelligence in Cybersecurity market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
Market Leaders and their expansionary development strategies
On 20th June 2019, Check Point Software Technologies Ltd. a leading provider of cybersecurity solutions globally, introduced artificial intelligence-based malware detection engine to its SandBlast Network threat prevention solution, to enable even faster, more accurate prevention of malicious attacks. The new Malware DNA engine classifies new forms of malware into known malware families, accelerating the ability to identify and block zero-day threats before they can cause any damage.
On 24th Feb 2020, Fortinet, a global leader in broad, integrated, and automated cybersecurity solutions, announced FortiAI, a first-of-its-kind on-premises appliance that leverages self-learning Deep Neural Networks (DNN) to speed threat remediation and handle time-consuming, manual security analyst tasks. FortiAI’s Virtual Security AnalystTM embeds one of the industry’s most mature cybersecurity artificial intelligence – developed by Fortinet’s FortiGuard Labs – directly into an organization’s network to deliver sub-second detection of advanced threats.
- Increasing Use of Cloud Solutions in Artificial Intelligence in Cybersecurity
- Use of Artificial Intelligence in Cybersecurity of Social Media
- Increasing Number of Cyber Attacks, Data Breaches, and Hacking Worldwide
- Need for Cybersecurity with Security Tools for Timely Actions to Prevent Potential Threats
- Growing Technological Advancement in Artificial Intelligence in Cybersecurity
- Increasing Awareness About the Cybersecurity Through Various Programs in Organisations
- Issues with Unpredictability of Artificial Intelligence in Cybersecurity
- Artificial Intelligence in Cybersecurity Might Pose Greater Threat if Misused
- Increasing Sophistication of Attackers
Key Target AudienceArtificial Intelligence in Cybersecurity Service Providers, Research and Development Institutes, Potential Investors, Regulatory Bodies and Others
About ApproachThe research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.
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