Global security orchestration market is estimated to be valued at US$ 3.62 Bn in 2024 and is expected to reach US$ 9.87 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 15.4% from 2024 to 2031.
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Increasing cyberattacks and rising demand for centralized security operations can drive the market growth. Furthermore, rising need to automate security operations and integrate it with existing security infrastructure can boost adoption of security orchestration. Emerging technologies like artificial intelligence and machine learning are helping vendors develop more sophisticated security orchestration solutions. Integration of security orchestration platforms with IT service management solutions is a key trend in the market. Adoption across sectors like BFSI, government, and healthcare can drive the market growth during the forecast period. However, high initial investment and complexity of deployment and management of security orchestration solutions can hamper the market growth.
Increasing cyber threats prevalent across varied industry verticals
Evolving cyber landscape along with changing nature of threats has pushed organizations across all industry verticals to bolster their security posture. There has been increase in ransomware attacks, phishing campaigns, malware intrusions and other advanced cyber-attacks, causing monetary losses as well as damaged reputation.
While large enterprises have been traditionally investing sizable amounts in security, mid-market and small organizations are also recognizing the business critical need for integrating robust defense solutions. Traditional siloed point security products are unable to provide the requisite threat visibility and coordinated response capabilities needed to detect and remediate multi-staged complex attacks. There has been growing understanding among CISOs and security leaders that centralized security orchestration, automation and response play a pivotal role in weaving various infrastructure components together to detect threats across environments in a more cohesive manner. This allows enterprises to establish situational awareness, prioritize incidents based on criticality and threat level while ensuring fast and streamlined remediation actions. The continuously evolving nature of cyber risks has made security orchestration an imperative for enterprises aiming to stay ahead of cybercriminals.
Advancements in AI and ML driving next-gen orchestration needs
The security industry has witnessed rapid technological progress, especially in the domains of artificial intelligence and machine learning. Advanced threat detection techniques powered by ML offers unprecedented visibility into the attack surface and accurate identification of both known and unknown threats. Achieving comprehensive security postures now requires assimilating data from across different sources including endpoints, network traffic, user behavior and applications logs among others. Advanced security tools are leveraging unsupervised and supervised ML in conjunction with orchestration platforms to achieve convergent detection, correlation of disparate events and coordinated response at scale.
Enterprises are keen to adopt next-generation security solutions that can abstract the complexity of combining different data sources and detection outcomes. AI/ML driven automated orchestration platforms are emerging as a key technology to harness the full potential of modern security tools.
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