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Network Analytics Market Size - By Component, By Deployment Model, By Enterprise Size, By Application, By End Use Analysis, Share, Growth Forecast, 2025 – 2034
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Network Analytics Market
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Premium Report Details
Base Year: 2024
Companies covered: 20
Tables & Figures: 200
Countries covered: 21
Pages: 180
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Network Analytics Market Size
The global network analytics market size was valued at USD 4.5 billion in 2024 and is projected to grow at a CAGR of 19.7% between 2025 and 2034. Rising cybersecurity threats, including APTs, ransomware, and DDoS attacks, are driving the adoption of network analytics solutions. These tools enable real-time threat detection, anomaly identification, and predictive insights by analyzing network traffic.
For instance, in 2023, the frequency of DDoS attacks surged by 31%, with cybercriminals executing approximately 44,000 attacks daily, according to the International Monetary Fund. The Federal Bureau of Investigation (FBI) responded by shutting down 13 DDoS-for-hire marketplaces during the first half of the year. In a related development, U.K. authorities dismantled 'Digital Stress,' an illegal DDoS attack service, in July 2024. Enterprises increasingly rely on these solutions to prevent breaches and safeguard sensitive data, making them integral to cybersecurity strategies, particularly in finance and healthcare sectors.
Digital transformation initiatives, such as cloud migration, IoT adoption, and hybrid work models, are creating complex network environments. Network analytics solutions provide critical visibility into performance and usage, helping organizations optimize infrastructure, maintain service quality, and manage growing traffic. These insights support data-driven decisions on capacity planning, resource allocation, and infrastructure investments.
Network Analytics Market Trends
The adoption of AI and ML in network analytics is advancing rapidly, enabling precise anomaly detection, predictive maintenance, and automated resource optimization. These technologies analyze complex network patterns, forecast issues, and recommend improvements, addressing the challenges of managing large-scale enterprise networks.
For instance, in October 2024, Nokia introduced AI-driven operations (AIOps) to its Altiplano Access Controller, an automation platform for broadband networks. AIOps leverages AI from Nokia’s Altiplano Marketplace to analyze network data, enabling faster anomaly detection, proactive issue prevention, and improved network efficiency. By integrating big data analytics, digital twins, and AI agents, Nokia enhances operational efficiency and drives advanced automation in network and service management.
Organizations face challenges in managing the massive volume of network data, requiring real-time collection, storage, and processing without compromising system performance. Efficient analysis demands advanced computing resources and data management strategies to avoid bottlenecks and ensure actionable insights.
Network Analytics Market Analysis
Based on the component, the market is segmented into network intelligence solutions and services. In 2024, the network intelligence solutions segment accounted for over 75% of the market share and is expected to exceed USD 20 billion by 2034. Network intelligence solutions are advancing to deliver predictive capabilities for network health, analyzing historical data, current patterns, and external factors to forecast issues before disruptions occur. Machine learning enhances prediction accuracy, enabling proactive maintenance and reducing downtime and costs by identifying potential problems like capacity constraints, hardware failures, and performance degradation.
Additionally, organizations are adopting intelligence solutions that align network operations with business objectives. These systems automatically translate business policies into network configurations, monitor behavior against defined goals, and flag deviations. Using natural language processing, they simplify network management while ensuring alignment with organizational priorities.
Based on the enterprise size, the network analytics market is divided into SMEs and large enterprises. By 2034, the large enterprise segment is expected to exceed USD 15 billion. Large enterprises are leveraging advanced analytics platforms to gain unified visibility across multi-cloud and on-premises environments. These solutions centralize monitoring and analysis of network performance, security, and resource utilization across AWS, Azure, Google Cloud, and private data centers. The adoption is driven by the need for consistent performance and security policies, with a focus on tools that correlate events across cloud environments for faster issue resolution and optimized resource management.
Enterprises are also deploying analytics platforms designed for zero trust security architectures. These tools provide real-time monitoring of user behavior, device health, and application access, enabling dynamic risk-based access controls. Businesses prioritize solutions offering granular insights into east-west traffic and micro-segmentation performance to enhance network security.
The U.S. network analytics market accounted for over 90% of the revenue share in 2024. U.S. enterprises are rapidly adopting advanced analytics platforms to streamline visibility across multi-cloud and on-premises networks. These solutions integrate monitoring, performance analysis, and security insights across AWS, Azure, Google Cloud, and private infrastructures. Leveraging AI, they automate network event correlation, reducing mean time to resolution for network issues by 40-50%.
European organizations are prioritizing network analytics solutions with robust privacy features to meet GDPR and regional compliance requirements. These platforms incorporate privacy-by-design principles, such as data minimization and pseudonymization, while maintaining detailed audit trails to ensure regulatory adherence. Adoption is particularly strong in sectors handling sensitive data.
The Asia Pacific region is witnessing significant adoption of analytics solutions for mobile network optimization, driven by a large mobile user base and 5G rollouts. These platforms enhance user experience, predict network congestion, and optimize cell tower performance, enabling telecom operators to improve service quality and maximize infrastructure efficiency in urban areas.
Network Analytics Market Share
Cisco, Ericsson, and IBM collectively held a substantial market share of over 22% in the network analytics industry in 2024. Cisco utilizes AI and ML to enhance network performance and analytics. Solutions like Cisco DNA Center automate issue detection and resolution, enabling proactive management. Its Secure Network Analytics platform integrates real-time threat detection, while a multi-domain strategy unifies analytics across networking, cloud, and collaboration platforms. Subscription models, including SaaS, ensure scalability and accessibility for diverse customer needs.
Ericsson delivers analytics-driven solutions for 5G networks, optimizing performance and reducing costs through automation and orchestration. The Ericsson Network Manager enhances traffic management and low-latency services. Strategic partnerships with telecom operators and enterprises strengthen its offerings, improving service quality and customer satisfaction.
IBM integrates Watson AI and ML into network analytics for predictive insights, anomaly detection, and performance optimization. Its hybrid cloud strategy supports seamless analytics across on-premises and cloud environments. IBM customizes solutions for industries like telecommunications, banking, and healthcare, ensuring interoperability with existing systems through open standards.
Network Analytics Market Companies
Major players operating in the network analytics industry are:
Network Analytics Industry News
The network analytics market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($ Mn/Bn) from 2021 to 2034, for the following segments:
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Market, By Component
Market, By Deployment Model
Market, By Enterprise Size
Market, By Application
Market, By End Use
The above information is provided for the following regions and countries: