PUBLISHER: Grand View Research | PRODUCT CODE: 1530045
PUBLISHER: Grand View Research | PRODUCT CODE: 1530045
The global security automation market size is expected to reach USD 22.92 billion by 2030, growing at a CAGR of 14.0% from 2024 to 2030, according to a new report by Grand View Research, Inc. This growth is driven by increasing cybersecurity threats, technological advancements in AI, ML, and big data, and stringent regulatory compliance requirements. The rising adoption of cloud services necessitates robust security automation, while the proliferation of IoT devices and the demand for endpoint and network security further boost the market. Organizations are increasingly investing in automated security solutions for cost efficiency, operational benefits, and enhanced threat detection and mitigation capabilities.
The increasing integration of security automation with DevOps (DevSecOps) ensures consistent security throughout the software development lifecycle. Automated security solutions enhance incident response capabilities, providing faster detection and mitigation of security breaches. These solutions offer scalability and flexibility, accommodating the expanding needs of organizations and new technologies. Enhanced threat intelligence features provide real-time data on emerging threats, aiding in proactive risk management. Automation reduces human error in security operations, ensuring more accurate threat detection and response. As businesses are digitally transforming, incorporating AI, IoT, and blockchain, the need for automated security measures is becoming essential.
Security automation is bridging gaps by enabling faster threat investigations and responses, eliminating prolonged monitoring processes. It centralizes threat detection and response with precise data, supporting security leaders in maintaining watch. Automation fosters a mature security framework, aligning tools with required security levels and ensuring immediate threat response. Tools such as SOAR, SIEM, and XDR automate workflows and create low-code scripts for targeted threat responses. Integrating AI with security systems enhances automated security measures, enabling advanced face detection and smart malware detection. AI-driven systems predict and prevent new attacks, securing IoT networks and supporting business growth. Thus, applications and tools will become more interconnected, streamlining processes and workflows.