Network Monitoring Market on the Rise - Valued at USD 4.2 Billion in 2025, Forecast to Reach USD 25.4 Billion by 2035

According to the report, the global network monitoring market is likely to grow from USD 4.2 Billion in 2025 to USD 25.4 Billion in 2035 at a CAGR of 19.6% during the time period. The stretch of the global Network Monitoring Market is being led by increasing digital transformation, increasing IT infrastructure, and growing demand for real-time network visibility, and security.

Technology providers are looking to integrate AI, automation, and cloud-native solutions to improve network performance and ease operational complexity. For instance, in April 2025, Cisco Systems, Inc. launched an advanced AI-enabled network analytic platform that provides predictive issue detection and automated remediation to improve uptime and minimize manual intervention. In another example, Datadog, Inc. announced a multi-cloud monitoring solution enabling real-time data correlation, and anomaly detection to increase operational insight, and speed trouble shooting.

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Key Driver, Restraint, and Growth Opportunity Shaping the Global Network Monitoring Market

The rise in demand for sophisticated network monitoring solutions is attributed to enterprises' increasing desire to ensure fluid connectivity and cyber security within their complex IT environments. With the dramatic uptick in hybrid cloud and IoT technologies, vendors are reacting by building platforms that offer better real-time analytics capabilities and automated resolution of incidents to ensure compliance with stringent SLAs and regulations. For example, when Cisco Systems, Inc. announced the launch of a network monitoring tool that uses AI techniques, in January 2025, the monitoring tool will incorporate predictive diagnostics to ensure continuous operational visibility.

Network monitoring is fraught with challenges, due to the complexity of multi-cloud infrastructures and the requirement for seamless integration among cloud solutions. Because they require time and resources to deploy and customize, these solutions largely inhibit rapid adoption of new technologies. For example, in December 2024, Datadog, Inc. announced that its new multi-cloud monitoring suite will take additional time to integrate due to evolving data privacy requirements and regulations.

The largest opportunity for enhanced detection of anomalies, automation of remediation, and network resiliency is the integration of AI and machine learning with network monitoring. At the beginning of 2025, Splunk Inc. announced an AI-powered monitoring platform that identified threats proactively and optimized network performance in real-time.

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Regional Analysis of Global Network Monitoring Market

The Asia Pacific region dominates the global network monitoring market, driven by rapid digitalization, expanding IT infrastructure, and broad adoption of cloud-native technologies. In March 2025, Huawei partnered with Cisco Systems, Inc. to deploy artificial intelligence-driven network performance monitoring solutions across the leading telecom operators of the world, improving real-time analytics and fault prediction capabilities. The region's emphasis on 5G rollout and smart city initiatives will continue to drive demand for advanced network monitoring methods.

North America maintains a robust presence in the market with an established enterprise IT ecosystem, substantial cybersecurity regulations, and continuous innovation related to AI and automation. In early 2025, Datadog, Inc. worked with several leading financial institutions to implement multi-cloud monitoring platforms that enhance compliance and operational efficiency.
Data privacy laws and increased research and development investment for network security and sustainability is fueling growth in Europe's market. In late 2024, Nokia partnered with Splunk inc. to develop energy efficient network monitoring deployments aimed at carbon reductions while maintaining high service reliability across telecom networks.

Key players in the global network monitoring market include prominent companies such as Auvik Networks Inc., BMC Software, Inc., Broadcom Inc., Cisco Systems, Inc., Datadog, Inc., Dynatrace LLC, Extreme Networks, Inc., Huawei Technologies Co., Ltd., IBM Corporation, Juniper Networks, Inc., Kentik Technologies, Inc., LiveAction, Inc., LogicMonitor, Inc., ManageEngine, NetScout Systems, Inc., New Relic, Inc., Nokia Corporation, Paessler AG, Progress Software Corporation, Riverbed Technology, SolarWinds Corporation, Splunk Inc., VIAVI Solutions Inc., Zabbix LLC, along with several other key players.

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Recent Development and Strategic Overview:

In March 2025, NetScout Systems released an AI network monitoring platform, NetScout Sentinel, that helps organizations detect threats in real time and respond automatically. The features of this tool include machine learning-based anomaly detection and multi-cloud support, which can assist organizations to improve security and operational efficiencies while meeting increasing cybersecurity regulations.

In May 2025, LogicMonitor launched LogicAI Monitor, a cloud-native platform that combines deep learning to enable predictive network analytics and root-cause analysis. LogicAI Monitor helps businesses detect and reduce downtime while enhancing network health with advanced IoT device monitoring and real-time performance visibility in compliance with stringent data privacy and operational requirements.

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Key Trend: Integration of AI and Smart Analytics in Network Monitoring Systems

The network monitoring sector is experiencing a notable trend toward the application of AI, machine learning, and smart analytics, which typically allows for the predictive and autonomous management of networks. Modern solutions now typically promise real-time anomaly detection, recognition of traffic patterns, and automated remediation of threats, reducing manual intervention and operational risk.

For example, in 2025, Juniper Networks announced the introduction of an AI-based network monitoring solution that applies telemetry and behavioral analytics to identify abnormal traffic flows and potential threats before they disrupt the operation of the network. The platform also provides auto-remediation capabilities to minimize downtime and improve continuity of service.

These intelligent systems allow IT teams to proactively identify problems, reduce mean-time-to-resolution (MTTR), and ensure compliance through real-time logs and alerts. More organizations are adopting smart monitoring solutions capable of delivering continuous monitoring of connectivity to address the complexity associated with hybrid and multi-cloud networks.

The use of AI and smart analytics in network monitoring, (and of course) improving responsiveness, improves operational resiliency and fits with the market trend towards autonomous IT infrastructure management. This trend is increasing market growth and adoption.

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