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Extended Detection and Response Market size was valued at USD 1.4 billion in 2022 and is estimated to register at a CAGR of 19% between 2023 and 2032. Extended detection and response is a security technology that meets an organization’s demand for sophisticated & comprehensive threat detection & response. The growing risk of cyber threats is attributed to the continuous advancements in technologies such as the cloud and the Internet of Things (IoT). These risks are propelling the demand for solutions that can secure critical data. Owing to these factors, companies are investing in security solutions to prevent attacks and strength the security of the firm.
The increased integration of multiple software solutions into the existing systems and growing complexities in managing multiple security threats with limited context are reducing the visibility of security teams, thereby disrupting business operations. This factor has encouraged the development of XDR technology, which employs Machine Learning (ML) and dynamic analytics to provide extended visibility, response, and analysis across clouds, networks & endpoints.
Report Attribute | Details |
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Base Year: | 2022 |
Extended Detection and Response Market Size in 2022: | USD 1.4 Billion |
Forecast Period: | 2023 to 2032 |
Forecast Period 2023 to 2032 CAGR: | 19% |
2032 Value Projection: | USD 8 Billion |
Historical Data for: | 2018 - 2022 |
No. of Pages: | 350 |
Tables, Charts & Figures: | 295 |
Segments covered: | Offering, Deployment Model, Organization Size, Industry Vertical, and Region |
Growth Drivers: |
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Pitfalls & Challenges: |
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XDR is a cybersecurity model that combines multiple security technologies & tools into an integrated platform to provide comprehensive threat detection, response, and remediation capabilities. XDR integrates data from various security sources, thereby offering increased capabilities compared to traditional Endpoint Detection and Response (EDR) solutions. XDR is designed to provide organizations with a universal view of their security posture by collecting and correlating data from multiple security solutions such as network traffic analysis, endpoint protection, log management, and cloud security platforms. This aggregated data is then analyzed using advanced analytics, machine learning, and threat intelligence to identify & prioritize potential threats and security incidents.
Implementing an XDR solution can be complex as it requires integration with the existing security infrastructure and various data sources. It may involve consolidating data from multiple security tools and platforms, which can be challenging and time-consuming. Ensuring seamless integration and interoperability across different systems and technologies can pose a hurdle for organizations.
Furthermore, these solutions incur significant financial investments and ongoing operational costs. The deployment, maintenance, and management of XDR platforms can be resource-intensive, necessitating skilled cybersecurity personnel and dedicated infrastructure. Smaller organizations with limited budgets and resources may face difficulties in adopting and maintaining XDR market.