Artificial Intelligence in Cybersecurity Market

Artificial Intelligence in Cybersecurity Market - Size and Share Overview

The global market for AI in Cybersecurity is projected to grow from USD  22.4 billion in 2023 to USD 60.6 billion by 2028, at a CAGR of 21.9% during the forecast period. 

The AI in Cybersecurity market is poised for substantial growth in the coming years, driven by several key factors:

  • Increasing Cyber Threats and Sophistication of Attacks
  • Rising Adoption of IoT and Connected Devices
  • Shortage of Skilled Cybersecurity Professionals
  • Growing Regulatory Compliance Requirements
  • Increasing Investments in Cybersecurity

These factors collectively contribute to the rapid growth and adoption of AI in the cybersecurity market, as organizations seek to enhance their security posture and protect against an ever-evolving threat landscape.

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Increasing Cyber Threats and Sophistication of Attacks

  • The growing number and complexity of cyber threats, including advanced persistent threats (APTs), ransomware, phishing, and zero-day exploits, are driving the demand for AI in cybersecurity. AI's ability to analyze vast amounts of data and identify patterns helps in detecting and mitigating these sophisticated attacks more effectively.

Rising Adoption of IoT and Connected Devices

  • The proliferation of Internet of Things (IoT) devices and the expansion of connected ecosystems increase the attack surface for cybercriminals. AI-powered cybersecurity solutions are essential for managing and securing these diverse and distributed networks, as they can quickly identify anomalies and potential security breaches.

Shortage of Skilled Cybersecurity Professionals

  • The global shortage of skilled cybersecurity professionals is a significant challenge for organizations. AI in cybersecurity helps bridge this gap by automating routine tasks, enhancing threat detection, and providing actionable insights, allowing existing cybersecurity teams to focus on more strategic and complex issues.

Growing Regulatory Compliance Requirements

  • Stringent regulatory frameworks and compliance requirements, such as GDPR, CCPA, HIPAA, and others, necessitate robust cybersecurity measures. AI-driven solutions assist organizations in ensuring compliance by continuously monitoring for vulnerabilities and ensuring data protection standards are met.

Increasing Investments in Cybersecurity

  • Organizations across various sectors, including finance, healthcare, retail, and government, are increasing their investments in cybersecurity to protect sensitive data and maintain customer trust. This surge in investment is fueling the adoption of AI-based cybersecurity solutions, which offer advanced protection capabilities.

AI in Cybersecurity Market Share - Global Industry Landscape

The AI in Cybersecurity market is characterized by the presence of several key players competing for market share. Some of the leading companies in the AI in Cybersecurity industry include:

  • Intel (US)
  • CrowdStrike (US)
  • Darktrace (UK)
  • High-Tech Bridge (Switzerland)

These companies represent a diverse range of offerings within the AI in Cybersecurity market, from hardware and infrastructure support to AI-driven threat detection and response solutions. Their market shares reflect their respective strengths in leveraging AI technologies to address the evolving cybersecurity landscape.


  • Market Share: NVIDIA is a significant player in the AI hardware space, providing GPUs (Graphics Processing Units) that are widely used for AI training and inference tasks in cybersecurity applications.
  • Key Offerings: NVIDIA offers GPUs specifically optimized for AI and machine learning workloads, which are utilized by cybersecurity companies and researchers to develop and deploy AI-driven security solutions.

Intel (US)

  • Market Share: Intel is another major player in the AI hardware market, providing CPUs (Central Processing Units) and other hardware accelerators that support AI applications in cybersecurity.
  • Key Offerings: Intel offers a range of processors and hardware solutions that are used in AI-based cybersecurity applications, supporting tasks such as threat detection, anomaly detection, and real-time data analysis.

CrowdStrike (US)

  • Market Share: CrowdStrike is a leading provider of cloud-delivered endpoint protection solutions, leveraging AI and machine learning for threat detection and response.
  • Key Offerings: CrowdStrike Falcon platform uses AI to identify and mitigate threats across endpoints and workloads, providing real-time visibility and proactive defense against cyber attacks.

Darktrace (UK)

  • Market Share: Darktrace specializes in AI-powered cybersecurity solutions, focusing on autonomous threat detection and response.
  • Key Offerings: Darktrace's Enterprise Immune System utilizes AI algorithms to detect and respond to cyber threats in real-time, protecting organizations from advanced cyber attacks and insider threats.

High-Tech Bridge (Switzerland)

  • Market Share: High-Tech Bridge, now a part of ImmuniWeb by PwC, offers AI-enhanced application security testing and AI-driven risk scoring.
  • Key Offerings: Their ImmuniWeb platform integrates AI to provide continuous security monitoring, vulnerability assessment, and compliance auditing, helping organizations secure their digital assets effectively.

Related Reports:

Artificial Intelligence in Cybersecurity Market by Offering (Hardware, Solution, and Service), Security Type, Technology (ML, NLP, Context-Aware and Computer Vision), Application (IAM, DLP, and UTM), Vertical and Region - Global Forecast to 2028

Artificial Intelligence in Cybersecurity Market Size,  Share & Growth Report
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