Press Release Description

Increasing Adoption of Connected Devices among Enterprises Boosts the Global Artificial Intelligence (AI) in Cyber Security Market through 2027

According to MarkNtel Advisors’ research report, the Global Artificial Intelligence (AI) in Cyber Security Market is projected to grow at a CAGR of 22.60% during the forecast period, i.e., 2022-27. The market growth attributes principally to the mounting dependency of various organizations on digital platforms that have led to the increasing prevalence of cyberattacks in them and, in turn, the critical use of Artificial Intelligence (AI) in cyber security systems to combat them.

Integration of AI into cyber security solutions offers superior threat alleviating features required for constantly monitoring security threats faced by organizations. As a result, companies are actively adopting AI-based cyber security systems entwined with additional machine learning capabilities to not only detect any threat but prevent it, too. Hence, it shall generate immense growth opportunities for the global market in the coming years, further states the research report, “Global Artificial Intelligence (AI) in Cyber Security Market Analysis, 2022.”

Global Artificial Intelligence (AI) in Cyber Security Market

Machine Learning to Lead the Market with the Largest Share during 2022-27

Machine Learning efficiently helps organizations secure their networks from potential threats by allowing them to examine user behavior & predict cyberattacks by quickly analyzing, processing, and managing extensive data obtained from multiple resources.

Besides, mounting technological advancements in machine learning, significant funding in its R&D, and ML's ability to make cyber security systems better analyze & learn threat patterns shall further drive its demand in the coming years.

Asia-Pacific to Witness the Highest Market Growth Pace through 2027

Companies in China & India undergoing consistent digitalization & their increasing dependency on online platforms have significantly surged the prevalence of cyber-attacks across the region. Due to this, the demand for better data protection systems among those organizations has increased, which, in turn, has augmented the need for AI-based cyber security systems across Asia-Pacific.

Additionally, the increasing cases of cyber threats in the region have also encouraged the governments of different countries to invest substantially in enhancing the cyber security infrastructure by introducing efficient security policies to reduce the effect of such threats across the region. Hence, this is another crucial aspect expected to drive the regional market in the coming years, reveals MarkNtel Advisors in their research report, "Global Artificial Intelligence (AI) in Cyber Security Market Analysis, 2022."

Key Market Competitors

According to MarkNtel Advisors, the leading players in the Global Artificial Intelligence (AI) in Cyber Security Market are BAE Systems plc, RSA Security LLC, IBM Corporation, Palo Alto Networks Inc., Fortinet Inc., FireEye Inc., Check Point Software Technologies Ltd., Cisco Systems Inc., Juniper Network Inc., Acalvio Technologies Inc., Darktrace Limited, Amazon Web Services Inc., NVIDIA Corporation, Cylance Inc., and Securonix Inc.

Key Questions Answered in the Study

  1. What are the current & future trends in the Global Artificial Intelligence (AI) in Cyber Security Market?
  2. How has the industry been evolving in terms of geography and services adoption?
  3. How has the competition been shaping across various countries, followed by their comparative factorial indexing?
  4. What are the key growth drivers & challenges for the Global Artificial Intelligence (AI) in Cyber Security Market?
  5. What are the customer orientation, purchase behavior, and expectations from the Artificial Intelligence (AI) in Cyber Security providers across various regions?

Market Segmentation:

  1. By Application (Identity and Access Management (IAM), Universal Transverse Mercator (UTM), Data Loss Prevention (DLP), Security & Vulnerability Management, Antimalware Fraud Detection, Intrusion detection, Threat intelligence)
  2. By Technology (Machine Learning, Natural Language Processing, Image Processing, Voice Recognition, Robotics, Cognitive Computing)
  3. By Component (Hardware (Networking Solution, Memory Solution, Processors), Software (AI for Network Threat Identification, AI Email Monitoring, AI-based Antivirus Software, AI-based User Behavior Modelling, and AI for Fighting AI Threats), and Services (Threat & Vulnerability, System & Network Security, Data & Application Security))
  4. By Deployment (On-Premise, Cloud)
  5. By Security Type (Critical Infrastructure Cybersecurity, Network Security, Cloud Security, Internet of Things Security, Application Security)
  6. By End-User (BFSI, Retail, IT & Telecommunication, Healthcare, Manufacturing, Government & Defense, Others (Resources & Utilities, Education, Automotive & Transportation))
  7. By Region (North America, South America, Europe, Asia-Pacific, Middle East & Africa)
  8. By Countries (US, Canada, Mexico, Brazil, Argentina, Italy, Spain, Germany, France, UK, South Africa, UAE, Saudi Arabia, China, India, Japan, Australia)
  9. By Competitors (BAE Systems plc, RSA Security LLC, IBM Corporation, Palo Alto Networks Inc., Fortinet Inc., FireEye Inc., Check Point Software Technologies Ltd., Cisco Systems Inc., Juniper Network Inc., Acalvio Technologies Inc., Darktrace Limited, Amazon Web Services Inc., NVIDIA Corporation, Cylance Inc., Securonix Inc.)

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