SOC as a Service Market Size

Global SOC as a Service Market size was valued at USD 6.7 Billion in 2023 and is poised to grow from USD 7.45 Billion in 2024 to USD 17.41 Billion by 2032, growing at a CAGR of 11.2% in the forecast period (2025-2032).

The SOC as a service market is experiencing strong momentum as organizations increasingly turn to managed security models to safeguard their IT infrastructure. The rise in sophisticated cyberattacks, coupled with growing awareness about proactive threat monitoring, has led enterprises to seek outsourced security operations that offer 24/7 threat detection, incident response, and compliance support.

A major driver of the market is the widespread adoption of cloud technologies. As enterprises transition to cloud-based environments, they face increased vulnerability across hybrid and multi-cloud infrastructures.

Organizations are becoming more aware of the importance of cybersecurity, leading to better investments in security measures. This heightened awareness creates a demand for SOC as a service solution that provides non-stop monitoring and threat detection leading to SOC as a service market share.

How is Artificial Intelligence Revolutionizing the SOC as a Service Market?

Artificial Intelligence (AI) plays a transformative role in the SOC as a service market by enabling faster, smarter, and more accurate threat detection and response. AI-powered SOC platforms leverage machine learning algorithms and behavioral analytics to detect anomalies, reduce false positives, and automate incident triage functions that traditionally required significant manual effort. This allows security teams to prioritize real threats, accelerate decision-making, and maintain 24/7 vigilance without increasing overhead.

One major area of AI impact is user and entity behavior analytics (UEBA), which helps SOCs detect subtle insider threats and suspicious behaviors that don't match known attack patterns. Additionally, AI enhances threat correlation across multiple data sources, reducing noise and creating a unified view of the attack lifecycle.

• For instance, in 2024, Arctic Wolf enhanced its cloud-native SOC platform with AI-driven threat scoring and predictive analytics capabilities. By integrating these features, the company enabled its customers to detect advanced persistent threats (APTs) and zero-day exploits more effectively. The AI system continuously learns from new attack patterns and customer environments, reducing the time from breach detection to response from hours to minutes—marking a significant leap in operational efficiency.