top of page

vieropsang.dk gruppe

Offentlig·5 medlemmer

Projecting Security Operations Center CAGR Through 2030 Scenarios

Estimating the Security Operations Center CAGR hinges on cloud adoption, regulatory pressure, and adversary innovation. As attack surfaces expand—multi-cloud, SaaS, identities, OT/IoT—organizations elevate SOC investments from discretionary to essential risk control. MDR and SOC-as-a-Service broaden access for midmarket buyers, while large enterprises consolidate tools around integrated analytics and response. AI augments analysts with triage, enrichment, and investigation guidance, improving throughput without compromising oversight. Identity-centric detections, exposure management, and continuous validation (purple teaming) drive new spend categories. Despite budget scrutiny, boards prioritize reductions in MTTD/MTTR and materially lower incident impact, sustaining steady, tech-augmented growth across segments and regions.


Three forces underpin durable expansion. First, platform convergence: SIEM+SOAR+XDR unifies detections and actions, trimming integration overhead. Second, telemetry modernization: cloud-native pipelines, cost-optimized storage, and stream processing enable real-time analytics at scale. Third, operational excellence: detection engineering, content libraries mapped to ATT&CK, and reusable playbooks standardize quality. Growth amplifies where security and IT operations converge—automated ticketing, change control, and rollback reduce downtime. Regulatory dynamics (sectoral directives, data residency) catalyze investment in governance, audit trails, and immutable logging. Meanwhile, OT/ICS and critical infrastructure initiatives unlock new budgets for specialized monitoring, safe remote access, and incident rehearsal.


Scenario ranges shape CAGR expectations. Acceleration: rapid AI maturity, standardized content exchanges, and exposure management adoption compress dwell time and elevate SOC ROI, lifting spend. Base case: steady modernization, selective consolidation, and measured AI use keep growth predictable as buyers demand transparent unit economics. Constraint case: macro softness and compliance bottlenecks delay large projects, but targeted MDR and identity-centric monitoring persist to mitigate high-impact risks. Across paths, winners demonstrate clear outcome telemetry—alert fidelity, time-to-contain, and business impact avoided—tying investments to resilience narratives that resonate with executives and regulators alike.

1 visning
bottom of page