Artificial Intelligence In Cybersecurity Market Growth & Trends

The global artificial intelligence in cybersecurity market size is estimated to reach USD 93.75 by 2030, expanding at a CAGR of 24.3% from 2022 to 2030, according to a new study by Grand View Research, Inc. An unprecedented spike in cyber incidents has fostered the demand for AI, cloud, and machine learning for seamless operations, data safety and prompt response to cyber threats. Some factors, such as soaring internet penetration, expanding footfall of connected devices, and escalating data protection concerns, have triggered the need for advanced cybersecurity solutions.

Artificial intelligence (AI) in cybersecurity has leveraged a faster response to breaches and propelled the efficiency of cyber analysts. AI is likely to be sought for vulnerability management, threat hunting, and boosting network security. In doing so, emphasis on natural language processing, machine learning, deep learning, and neural networks could gain ground during the assessment period. For instance, deep learning has become trendier to track transactions, logs, and real-time data to detect threats. AI is highly sought-after to secure cloud services and on-premises architecture and spot abnormal user behavior.

Natural language processing could remain a value proposition to foster the penetration of AI technologies in cyberspace. The trend for natural language inference, sentiment analysis, and text summarization will bode well for major companies gearing to reinforce artificial intelligence in the cybersecurity market share. Prominently, NLP has received impetus for fake news detection, clickbait detection, and rumor detection. Leading companies are likely to bank on NLP to detect malicious language and domain names produced for phishing scams.

Stakeholders predict North America to witness investment galore on the heels of the high footprint of connected devices, IoT, and 5G. Moreover, the possibility of DDoS attacks and the growing prominence of IoT-enabled activities have prompted major players to bank on cutting-edge technologies to deter cyber incidents. To illustrate, in August 2019, Microsoft was reported to have alleged Russian hackers using IoT devices to breach enterprise networks. Industry participants expect bullish investments in machine learning platforms, threat hunting, and advanced analytics. Besides, Microsoft Security blocked over 35.7 billion phishing and malicious emails and more than 9.6 billion malware threats in 2021.

The competitive landscape alludes to an increased emphasis on organic and inorganic growth strategies, including mergers & acquisitions, product offerings, technological advancements, collaborations, and innovations. For instance, in July 2022, Darktrace rolled out Darktrace PREVENT to assist organizations in pre-empting cyber-attacks. Meanwhile, in August 2022, it was reported that Thoma Bravo was contemplating acquiring Darktrace. In February 2019, BlackBerry completed the acquisition of Cylance to bolster its footprint in AI cybersecurity.

Artificial Intelligence In Cybersecurity Market Highlights

  • In terms of type, the cloud security segment will contribute notably toward the global market in the wake of the rising prominence of AI and machine learning
  • Based on vertical, the BFSI sector will exhibit profound demand for AI in cybersecurity to resist cyberattacks and prevent data leaks
  • North America AI in cybersecurity market share will be pronounced due to threats to mobile devices and soaring penetration of IoT and 5G
  • Some major players, such as IBM Corporation, Cylance Inc. (BlackBerry), Acalvio Technologies, Inc, Intel Corporation, Amazon Web Services, Inc., FireEye, Inc., LexisNexis, Fortinet, Inc., Micron Technology, Inc., and Darktrace are poised to boost their portfolios