Artificial Intelligence in Cybersecurity Market to Remain Competitive | Major Giants: Cylance, IBM, Fortinet, Darktrace

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.

Advance Market Analytics released the research report of Global Artificial Intelligence in Cybersecurity Market, offers a detailed overview of the factors influencing the global business scope. Artificial Intelligence in Cybersecurity Market research report shows the latest market insights with upcoming trends and breakdown of the products and services. The report provides key statistics on the market status, size, share, growth factors of the Artificial Intelligence in Cybersecurity. This Report covers the emerging player's data, including: competitive situation, sales, revenue and global market share of top manufacturers are 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).

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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.

Market Trend
o Increasing Use of Cloud Solutions in Artificial Intelligence in Cybersecurity
o Use of Artificial Intelligence in Cybersecurity of Social Media

Market Drivers
o Increasing Number of Cyber Attacks, Data Breaches, and Hacking Worldwide
o Need for Cybersecurity with Security Tools for Timely Actions to Prevent Potential Threats

Opportunities
o Growing Technological Advancement in Artificial Intelligence in Cybersecurity
o Increasing Awareness About the Cybersecurity Through Various Programs in Organisations

Restraints
o Issues with Unpredictability of Artificial Intelligence in Cybersecurity
o Artificial Intelligence in Cybersecurity Might Pose Greater Threat if Misused

Challenges
o Increasing Sophistication of Attackers

The Global Artificial Intelligence in Cybersecurity Market segments and Market Data Break Down are illuminated below:
by Type (Machine Learning, Natural Language Processing, Context-Aware Computing, Other), Application (Security & Vulnerability Management, Antivirus/Antimalware, Fraud Detection/Anti-Fraud, Intrusion Detection/Prevention System, Threat Intelligence, Data Loss Prevention, Others), Industry Verticals (BFSI, Government, IT & Telecom, Healthcare, Aerospace and Defense, Other), Deployment (Cloud-based, On-premise), Security (Network Security, Endpoint Security, Application Security, Cloud Security, Others)

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

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Strategic Points Covered in Table of Content of Global Artificial Intelligence in Cybersecurity Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence in Cybersecurity market
Chapter 2: Exclusive Summary - the basic information of the Artificial Intelligence in Cybersecurity Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Artificial Intelligence in Cybersecurity
Chapter 4: Presenting the Artificial Intelligence in Cybersecurity Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region 2013-2018
Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence in Cybersecurity market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions.
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, Artificial Intelligence in Cybersecurity Market is a valuable source of guidance for individuals and companies.

Data Sources & Methodology

The primary sources involves the industry experts from the Global Artificial Intelligence in Cybersecurity Market including the management organizations, processing organizations, analytics service providers of the industry's value chain. All primary sources were interviewed to gather and authenticate qualitative & quantitative information and determine the future prospects.

In the extensive primary research process undertaken for this study, the primary sources - Postal Surveys, telephone, Online & Face-to-Face Survey were considered to obtain and verify both qualitative and quantitative aspects of this research study. When it comes to secondary sources Company's Annual reports, press Releases, Websites, Investor Presentation, Conference Call transcripts, Webinar, Journals, Regulators, National Customs and Industry Associations were given primary weight-age.

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Definitively, this report will give you an unmistakable perspective on every single reality of the market without a need to allude to some other research report or an information source. Our report will give all of you the realities about the past, present, and eventual fate of the concerned Market.

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