New Report Projects AI in Cybersecurity Industry to Grow to USD $93B by 2030
Because AI Is Now Being Deployed Across Multiple Laters of Defence, From Endpoint Security to Network Monitoring
Artificial Intelligence (AI) technologies, particularly Natural Language Processing and Machine Learning, are now playing a central role in advancing cybersecurity. The AI in cybersecurity industry is expanding rapidly, driven primarily by the seamless integration of AI with existing cybersecurity frameworks.
For many organisations, the appeal lies in solutions that work alongside their current systems with minimal disruption while maximising efficiency. AI is being deployed across multiple layers of defence, from endpoint security and network monitoring to access control. These applications make AI indispensable in modern strategies for protecting digital infrastructure. Meanwhile, cloud-based AI solutions are providing the flexibility and scalability needed for both small and large enterprises to implement cutting-edge tools without significant overheads.
Another advantage of AI integration is its support for regulatory compliance, which is becoming increasingly complex across global markets. By strengthening data protection and monitoring, these technologies help organisations maintain stakeholder trust and avoid costly penalties. As a result, the adoption of AI in cybersecurity is no longer optional for many businesses—it is becoming a necessity to remain resilient against evolving threats.
Grand View Research Finds an Exploding AI in Cybersecurity Market
A report from Grand View Research projected that the global AI in cybersecurity market was valued at USD $5.35 billion in 2024 and is expected to grow to USD $93.75 billion by 2030, representing a compound annual growth rate (CAGR) of 24.4% between 2025 and 2030.
“The increasing frequency and complexity of cyber threats drive the market growth,” said the Grand View Research report. “Cybercriminals use advanced techniques, necessitating AI solutions capable of staying ahead of evolving attacks. AI-powered tools analyse vast amounts of data to detect hidden threats and respond swiftly to breaches. Governments and enterprises face mounting pressure to protect critical infrastructure, pushing investments in AI technologies. These solutions are particularly effective in countering ransomware, phishing, and advanced persistent threats. The escalating need for robust defence mechanisms ensures sustained growth in this market segment.
Grand View Research continued: “Fraud detection and anti-fraud solutions dominate the AI in cybersecurity market due to their critical role in combating financial and identity-related crimes. These tools utilise machine learning to detect unusual transactions, identify fake accounts, and prevent fraudulent activities in real time. Industries such as banking, e-commerce, and insurance heavily invest in these solutions to protect customer data and ensure compliance with regulations. The ability to analyse vast amounts of transactional data and flag anomalies enhances the reliability of these systems. As cybercriminals develop sophisticated techniques, the demand for robust fraud detection mechanisms remains high. This ensures the continued dominance of fraud detection and anti-fraud technologies in the cybersecurity market.”
Taken together, these findings highlight the critical importance of AI-driven solutions in safeguarding businesses and governments against an increasingly hostile digital environment. From fraud detection to advanced threat prevention, AI in cybersecurity is reshaping the way organisations defend themselves—providing not only faster detection and response but also greater resilience for the future.
