Extended Detection and Response Market Size

Extended Detection and Response Market Insights

Global Extended Detection and Response Market size was valued at USD 2.3 billion in 2023 and is poised to grow from USD 2.79 billion in 2024 to USD 12.88 billion by 2032, growing at a CAGR of 21.1% during the forecast period (2025-2032).

The increasing complexity and frequency of cyber threats act as a primary driver of the global extended detection and response market. Organizations are facing a growing number of advanced persistent threats (APTs), ransomware attacks, and zero-day exploits that traditional security measures fail to detect. As cybercrooks employ AI-based malware and advanced attack vectors, traditional security technologies like Security Information and Event Management (SIEM) and Endpoint Detection and Response (EDR) are unable to deliver threat visibility across an enterprise's digital landscape.

This rising threat landscape has created an urgent demand for extended detection and response solutions, which integrate multiple security layers, including network, cloud, and endpoint security, into a single, centralized system. By correlating threat intelligence from various vectors, extended detection and response helps organizations detect and identify concealed threats quicker, eliminate false positives, and automate response to incidents, thus significantly improving their cybersecurity position. The need to counter growing cyberattacks propels widespread extended detection and response adoption among industries, driving market growth.

The shift toward cloud-based security solutions is a key factor influencing the extended detection and response market expansion. Enterprises are rapidly migrating their IT infrastructure to the cloud to improve scalability, flexibility, and operational efficiency. However, this transition increases cybersecurity risks by expanding the attack surface, making it difficult to monitor and secure data across hybrid and multi-cloud environments. Cloud-based XDR solutions help detect threats in real time, continuously monitor cloud environments, and use AI to analyze security risks. If they integrate well with other security tools and provide a clear view of potential threats, they become a crucial part of cybersecurity strategies.

FAQs

Global Extended Detection and Response Market size was valued at USD 1.70 Billion in 2023 poised to grow from USD 2.35 Billion in 2024 to USD 31.67 Billion by 2032, growing at a CAGR of 38.4% in the forecast period (2025-2032).

Global extended detection and response market is extremely competitive based on growing cybersecurity threats and requirements for AI-powered security solutions. Top players invest in innovation, cloud-native security solutions, and AI-based threat detection to get an edge in the market. Some of the biggest players in the market are international majors such as Microsoft (Defender XDR), Palo Alto Networks (Cortex XDR), CrowdStrike (Falcon XDR), Trend Micro (Vision One), IBM (QRadar XDR), Cisco (XDR Solution), and SentinelOne (Singularity XDR). These giants continue to bolster their capabilities via acquisitions, partnerships, and next-gen AI-driven analytics to expand real-time threat detection, incident response automation, and end-to-end security for hybrid and cloud environments. 'Palo Alto Networks (USA)', 'Microsoft (USA)', 'CrowdStrike (USA)', 'Trend Micro (Japan)', 'SentinelOne (USA)', 'Cisco Systems (USA)', 'Sophos (UK)', 'Fortinet (USA)', 'McAfee (USA)', 'Trellix (USA)', 'Check Point Software Technologies (Israel)', 'Darktrace (UK)', 'Sekoia.io (France)', 'Cybereason (USA)', 'Vectra AI (USA)'

The high-speed development of cyber threats such as ransomware, advanced persistent threats (APTs), and nation-state attacks is one of the major growth drivers for the global extended detection and response market growth. Companies need AI-driven, automated security tools to identify and neutralize sophisticated attacks on endpoints, networks, and cloud environments in real time.

Founded in the Year 2024, Edera is a security firm founded by Alex Zenla, Emily Long, and Ariadne Conill. The firm specializes in improving cloud infrastructure security through the isolation of devices into their own cloud environments, mitigating vulnerabilities in shared setups, specifically for AI workloads that are GPU-dependent. Edera's groundbreaking technology for cloud workload isolation allows for the isolation of nearly any device into its own cloud space. This approach prevents attackers from exploiting weaknesses within one system region and escalating their access, thereby enhancing overall security in shared cloud environments. With their novel approach to cloud workload isolation, Edera proves to be a giant leap forward in the domain of cloud security. By isolating the devices into their own cloud space, Edera effectively mitigates the weaknesses induced by shared environments, especially when those work on AI workloads relying on GPUs, further securing the entire system.

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