The Global Artificial Intelligence (AI) in Cybersecurity Market is projected to grow significantly, with an estimated market value of USD 133.8 Billion by 2030, according to Acumen Research . This growth is driven primarily by the rising demand for advanced cybersecurity solutions and the emergence of disruptive digital technologies across numerous industry verticals. As such, the AI in cybersecurity market is predicted to grow by a CAGR of 27.8% from 2022 to 2030.
AI is becoming an essential tool in cybersecurity, allowing software to enhance human expertise by rapidly identifying new types of malware traffic or hacking attempts. Recent advancements in compute power have made AI in cybersecurity feasible even with relatively small datasets, eliminating the need for extensive server infrastructure with costly processors.
Key drivers of the AI in Cybersecurity market include the growing use of social media for business operations, increasing government investments in AI adoption, and technological advancements in security systems to combat escalating cyberattacks. However, constraints such as a lack of skilled AI professionals and awareness about AI in cybersecurity, along with limited security budgets against cyberattacks, pose challenges for market growth.
Opportunities lie in the growing demand for cloud-based security solutions among SMEs and the increasing use of social media for business purposes. The rapid surge in cyberattacks has underscored the need for more robust security systems, especially in light of a surge in remote workforces, the cybersecurity skills gap, and a proliferation of connected IoT devices vulnerable to cyberattacks. The COVID-19 pandemic has also significantly impacted cybersecurity, with online scams and malware attacks seeing a dramatic rise.
In the AI in Cybersecurity market, the software segment is expected to witness the fastest growth due to the rapid expansion of AI platform software for security operations, rising data security concerns, and growing demand for robust and cost-effective security solutions among businesses.
Machine learning has already garnered a significant share in 2021 due to its ability to collect and handle large amounts of data and perform complex calculations. The deployment model has seen a shift towards cloud-based solutions due to a growing need among SMEs. In terms of security type, application security is on the rise, whereas the demand for AI in cloud security is expected to grow the fastest between 2022 and 2030.
Antivirus/antimalware applications accounted for a significant share in the market, highlighting cybersecurity as a major concern for businesses and consumers alike. The increasing prevalence of phishing scams and hacking attempts necessitates the use of AI and machine learning algorithms to bolster antivirus software and anti-malware defenses.