PUBLISHER: Grand View Research | PRODUCT CODE: 1751451
PUBLISHER: Grand View Research | PRODUCT CODE: 1751451
The global intrusion detection and prevention market size was estimated at USD 6.25 billion in 2024 and is anticipated to grow at a CAGR of 12.2% from 2025 to 2030. The growth is driven by the increasing integration of AI and machine learning for real-time threat detection and response, enabling more proactive security measures.
One of the primary factors propelling the market growth is the increasing prevalence of cyberattacks, such as data breaches, ransomware, and Distributed Denial of Service (DDoS) attacks. As organizations continue to adopt digital transformation strategies, they face the challenge of safeguarding their networks, endpoints, and data from these increasingly sophisticated threats. Furthermore, regulatory frameworks such as GDPR, HIPAA, and PCI-DSS are imposing stricter security controls, further driving the adoption of IDPS solutions. The need to comply with these regulations is a significant driver for organizations to invest in real-time monitoring and prevention system.
Cloud adoption is a key trend influencing the IDPS market, as businesses move their workloads and applications to cloud environments. This shift introduces new security risks, prompting the evolution of traditional IDPS solutions to better protect cloud-based infrastructures. Solutions that can be scaled with hybrid and multi-cloud environments are in high demand. Additionally, the proliferation of Internet of Things (IoT) devices introduces further complexity, as the growing number of connected devices increases the attack surface and makes network security even more critical.
Another key growth catalyst for the industry is the rising adoption of managed security services. These services enable organizations, especially small and medium-sized enterprises (SMEs), to access robust IDP solutions on a subscription basis without the need for heavy upfront investment in infrastructure or personnel. This model offers scalability, 24/7 monitoring, and expert incident response, making enterprise-grade security more accessible. In parallel, technological advancements like artificial intelligence (AI) and machine learning (ML) are significantly boosting the performance of IDP systems by enabling them to detect emerging threats in real-time, reduce false positives, and adapt continuously to evolving attack patterns. Furthermore, the shift toward Zero Trust Architecture is reinforcing the importance of IDP as a critical layer for continuous verification and access control. In Zero Trust models, IDP solutions act as enforcement points, monitoring and validating traffic and behavior across users, devices, and workloads at all times.
Initial deployment often requires substantial investment in infrastructure, skilled personnel, and integration with existing security ecosystems, which can be prohibitive for resource-constrained organizations. Additionally, managing IDP systems can be complex, especially in large or highly distributed environments. These systems can generate a high volume of alerts, many of which may be false positives, leading to alert fatigue and operational inefficiencies. This creates a dependency on skilled cybersecurity analysts, a resource that is in short supply globally, further exacerbating the issue.
Global Intrusion Detection And Prevention Systems Market Report Segmentation
This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global intrusion detection and prevention systems market report based on component, type, technology, deployment, organization size, vertical, and region.