The Global Artificial Intelligence In Cybersecurity Market is on its Way to Take the World by its Storm

Artificial Intelligence In Cybersecurity
  • Artificial Intelligence In Cybersecurity Market

The Global Artificial Intelligence In Cybersecurity Market size is expected to grow fromUSD 10.18 Billion in 2021 toUSD 35.43 Billionby 2028 at aCompound Annual Growth Rate (CAGR) of 23.10% during the forecast period of 2022-2028. Artificial Intelligence can be used by cybersecurity professionals to reinforce best practices and minimize the attack surface rather than continuously being on the lookout for malicious activity. The cyberattack surface in modern enterprise environments is massive, and it’s continuing to grow.

Major drivers for the Artificial Intelligence In Cybersecurity Market’s growth, are growing adoption of IoT and increasing number of connected devices, rising instances of cyber threat, growing concerns of data breaches, and increasing vulnerability of Wi-Fi networks to security threats. This means that analysing and improving an organization’s cybersecurity posture needs more than mere human intervention. The growth of the overall Artificial Intelligence In Cybersecurity is backed by the emergence of disruptive digital technologies across various industry verticals, increasing demand for advanced cybersecurity solutions & privacy, and increasing frequency & complexity of cyber threats. Moreover, the growing need for cloud-based security solutions among small and medium-sized enterprises provides significant opportunities in this market. However, the lack of skilled AI professionals may hamper the consistent growth of this market. Vulnerabilities issues with IoT devices are a major challenge for the growth of the market. Also, the increasing use of smartphones and rising adoption of 5G technology are the new trends in this market.

The Artificial Intelligence In Cybersecurity Market can employ deployment types of either on-premise type or cloud. The market can be further segmented on the basis of offering into hardware, software, and service. Based on security type, the Artificial Intelligence In Cybersecurity Market consists of network security, endpoint security, application security, and cloud security. It is possible with the use of technologies like machine learning, natural language processing, and context-aware computing. The Artificial Intelligence In Cybersecurity Market is divided based on application into identity & access management, risk & compliance management, data loss prevention, united thread management, security & vulnerability management, antivirus, fraud detection, intrusion detection/prevention system, threat intelligence, among others. The market serves a range of end users including BFSI, retail, government & defense, manufacturing, infrastructure, enterprise, healthcare, automotive & transportation, and others such as oil & gas, education, and energy.

On the basis of regional analysis, the Global Artificial Intelligence In Cybersecurity Market is categorized in North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.North America is the largest region of Artificial Intelligence In Cybersecurity Market since the past few years and it will keep increasing in the upcoming years. North America region owns 37.90% of the global market. This is credited to the early adoption of Artificial Intelligence In Cybersecurity in the region. The integration of Artificial Intelligence In Cybersecurity in BFSI, government agencies, and healthcare sector had become inevitable due to the rising cyber threats in the region. While, Asia Pacific is expected to grow at the fastest rate during the forecast period.

The key players in the Global Artificial Intelligence In Cybersecurity Market are NVIDIA Corporation (US), Intel Corporation (US), Xilinx Inc. (US), Samsung Electronics Co., Ltd (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Amazon Web Services, Inc. (US), Darktrace (UK), Cylance Inc. (US), Vectra AI, Inc. (US), ThreatMetrix Inc. (US), Securonix Inc. (US), Sift Science (US), Acalvio Technologies (US), SparkCognition Inc. (US), Palo Alto Networks Inc. (US), Symantec Corporation (US).