Artificial Intelligence in Cybersecurity Market Size, Share, Growth Analysis, By Security Type, By Technology, By Application, By Vertical, By Region - Industry Forecast 2024-2031

Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 18.36 Billion in 2022 and is poised to grow from USD 22.49 Billion in 2023 to USD 114.30 Billion by 2031, at a CAGR of 22.53% during the forecast period (2024-2031).

Artificial Intelligence (AI) plays a pivotal role in cybersecurity, emerging as a powerful tool for safeguarding digital assets amidst increasingly sophisticated cyber threats. AI technologies empower a proactive approach to threat detection and management, revolutionizing traditional cybersecurity practices. By leveraging machine learning and predictive analytics, AI enables real-time scrutiny of vast datasets to identify anomalies and potential vulnerabilities autonomously. This capability not only enhances threat detection but also allows organizations to pre-emptively mitigate risks, thereby reducing the likelihood of financial losses and data breaches. The integration of AI in cybersecurity operations streamlines incident response, minimizing business disruptions and reputational harm. As AI-driven solutions continue to evolve, their adoption is becoming essential across industries, driving continuous innovation in cyber defence strategies and reinforcing digital resilience against evolving threats.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence (AI) in Cybersecurity market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Artificial Intelligence (AI) in Cybersecurity Market Segmental Analysis

Artificial Intelligence (AI) in Cybersecurity Market is segmented based on offering, security type, technology, application, vertical and region. By offering, the market is segmented into hardware, software, and services. By security type, the market is divided into infrastructure security, data security, application security, and others. By technology, the market is segmented into machine learning (ML), natural language processing (NLP), and context-aware computing. By application, the market is segmented into identity & access management, risk & compliance management, data loss prevention, unified threat management, fraud detection, and others. By vertical the market is segmented into, BFSI, it & telecom, government & defence, manufacturing, and others. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

Drivers of the Artificial Intelligence (AI) in Cybersecurity Market

The escalating threat landscape, marked by evolving tactics such as ransomware, phishing, and advanced persistent threats (APTs), underscores the critical role of AI in cybersecurity. Globally, organizations faced an average of 1,158 cyber-attacks per week per entity in 2022, with a marginal 1% increase. In India, this figure surged in 2023 to 2,138 weekly cyber-attacks per organization, reflecting a significant 15% rise from the previous year. These statistics emphasize the urgent need for robust cybersecurity measures. AI integration has notably enhanced the agility and efficacy of cybersecurity frameworks, enabling swifter and more precise threat detection, thus underscoring AI's pivotal role in safeguarding digital assets against emerging threats.

Restraints in the Artificial Intelligence (AI) in Cybersecurity Market

AI is broadly categorized into several types, spanning diverse algorithms such as machine learning, genetic algorithms, deep learning, and neural networks. These algorithms play crucial roles in various applications, including computer security. Particularly concerning are zero-day threats, where malicious actors exploit previously unknown vulnerabilities, posing significant risks to cybersecurity. One prevalent zero-day threat is the Advanced Persistent Threat (APT), characterized by unauthorized access to a network, often remaining undetected for extended periods. Such threats underscore the ongoing challenge of safeguarding digital systems against sophisticated and evolving cybersecurity risks, necessitating continual advancements in defensive strategies and technologies.

Market Trends of the Artificial Intelligence (AI) in Cybersecurity Market

Implementing smart automation in AI-based security systems can significantly minimize the need for manual effort to achieve objectives. This technology aids in automating identity verification and access control measures, crucially aligned with the growing prominence of zero-trust security frameworks. These frameworks necessitate rigorous authentication, continuous validation, and authorization for every network user, underscoring the importance of efficient security measures. Embracing automation allows organizations to assign risk scores to potentially suspicious activities instead of abruptly terminating user sessions or locking them out, thus enhancing overall security without compromising operational efficiency or user experience. This shift not only streamlines security protocols but also adapts defences to dynamic threats in real-time, ensuring robust protection in a digital landscape increasingly vulnerable to sophisticated cyber threats.