Growing Adoption of AI-Powered NDR Solutions to Transform Cybersecurity Practices in Network Detection And Response (NDR) Market
Market Overview:
The Network Detection and Response (NDR) market focuses on providing enhanced network security through the integration of AI/ML capabilities. NDR solutions examine network traffic patterns to identify anomalies, threats and vulnerabilities in real-time. They act as critical tools for security teams to gain complete situational awareness and automatically respond to advanced threats.
Market Dynamics:
Growing deployment of cloud-based applications and the rapid shift to remote working arrangements have expanded corporate networks and increased cybersecurity risks. This has augmented the demand for more advanced network monitoring and threat detection technologies. Additionally, the constant evolution of attack techniques like zero-day exploits and ransomware has forced enterprises to invest in solutions like NDR that leverages artificial intelligence to proactively identify both known and unknown threats. Continuous innovation in machine learning algorithms has enabled NDR solutions to achieve very high accuracy in malware detection without disrupting network performance. This drives many security leaders to adopt AI-powered NDR to augment their threat detection capabilities and strengthen overall cyber resilience.
Market key trends:
The Network Detection and Response (NDR) market is witnessing increased adoption of cloud-based network security solutions and integrated threat detection capabilities. Many organizations are moving towards cloud-native tools that provide visibility across cloud, network and endpoints from a single integrated platform. NDR vendors are enhancing their products with machine learning and analytics to gain deeper insights from traffic patterns and automate threat hunting. They are also incorporating deception techniques that trick attackers into interacting with fake network assets and trigger alerts.
SWOT Analysis
Strengths: Integrated visibility across network, cloud and endpoints from a single solution. Use of advanced analytics and machine learning to detect both known and unknown threats.
Weaknesses: On-premise solutions require more IT resources for deployment and management. Some solutions may not be suited for large and complex IT environments.
Opportunities: Growing migration of workloads to cloud creating demand for cloud-native network security. Increasing adoption of IoT and OT systems expanding the attack surface.
Threats: Competition from traditional network and endpoint security vendors integrating network detection capabilities. Budgetary limitations of customers.
Key Takeaways
The global Network Detection And Response (NDR) Market Size is expected to grow at a CAGR of 12.6% during the forecast period of 2023 - 2030. The market was valued at US$ 3.15 Bn in 2023 and is expected to reach US$ 6.39 Bn by 2030 as organizations increase spend on networked security solutions.
Regional analysis: The NDR market in North America currently dominates with the largest share owing to rapid cloud adoption and stringent data protection laws. Asia Pacific is anticipated to be the fastest growing region exhibiting a CAGR of over 15% due to growing BYOD and IoT connectivity in major countries like China, India and Japan.
Key players: Key players operating in the Network Detection and Response market are Cisco, Juniper Networks, RSA Security, Awake Security, Vectra AI, ExtraHop, Darktrace, Fortinet, FireEye, Trend Micro, Niara, Securonix, Hillstone Networks, Countertack, Corelight, ProtectWise, Flowmon Networks, BluVector, Armor, Palo Alto Networks. These vendors are focusing on developing enhanced NDR platforms with augmented detection capabilities and AI/ML-powered analytics to gain market share.
Read More: https://cmiresearch.blogspot.com/2023/10/network-detection-and-response-ndr.html
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