Network Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented, By Component (Solution and Services), By Network Type (Enterprise Network and Telecom Network), By End User (Organization, Enterprise, Telecom Companies, and Data Centers), By Region, By Competition, 2021-2031F

Forecast Period	2027-2031
Market Size (2025)	USD 4.41 Billion
CAGR (2026-2031)	18.24%
Fastest Growing Segment	Telecom Network
Largest Market	North America
Market Size (2031)	USD 12.05 Billion

Market Overview

The Global Network Analytics Market will grow from USD 4.41 Billion in 2025 to USD 12.05 Billion by 2031 at a 18.24% CAGR. Network analytics involves the systematic collection and analysis of network data to optimize performance, enhance security, and improve operational efficiency. The primary drivers fueling market growth include the unprecedented surge in data traffic and the rising complexity of hybrid network environments. Furthermore, the rapid deployment of 5G infrastructure and IoT devices necessitates granular visibility to maintain high service standards and predict potential system failures before they impact subscribers.

Despite these advantages, the market encounters a significant challenge regarding stringent data privacy regulations that complicate data processing and compliance. Navigating these evolving legal frameworks often increases operational costs and hinders the seamless implementation of analytics solutions. According to the International Telecommunication Union, in 2024, global fixed broadband traffic reached 6 Zettabytes, a figure that underscores the massive volume of information organizations must manage while strictly adhering to these regulatory standards.

Key Market Drivers

The integration of Artificial Intelligence (AI) and Machine Learning (ML) is reshaping the market by enabling predictive maintenance and automated anomaly detection. Operators use these technologies to transition from reactive troubleshooting to proactive assurance, significantly reducing operational costs. This capability is vital for managing threats that manual monitoring cannot handle. According to Cisco, May 2024, in the '2024 Global Networking Trends Report', 60% of IT leaders expect AI-enabled predictive automation to be deployed across all domains to simplify operations. The urgency for such analytics is underscored by escalating cyber risks; according to Nokia, October 2024, in the 'Threat Intelligence Report 2024', the frequency of Distributed Denial of Service (DDoS) attacks in many networks surged to over 100 per day, highlighting the need for automated defenses.

Concurrently, the accelerated deployment of 5G infrastructures drives the demand for analytics capable of processing high-velocity data. 5G introduces architectural complexities like network slicing, which require real-time visibility to ensure Quality of Service (QoS). The rapid expansion of this technology generates vast datasets that must be analyzed instantaneously to maintain system integrity. According to Ericsson, June 2024, in the 'Ericsson Mobility Report', global 5G subscriptions increased by 160 million during the first quarter of 2024, reaching a total of 1.7 billion. This growth illustrates the immense scale that analytics platforms must support to optimize performance and subscriber experience.

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Key Market Challenges

Stringent data privacy regulations constitute a significant obstacle to the Global Network Analytics Market. As varying regions enforce diverse and often contradictory legal frameworks, network operators and analytics vendors face substantial difficulties in processing data efficiently across borders. This regulatory fragmentation creates a heavy operational burden, forcing organizations to prioritize legal adherence over technical innovation. The requirement to modify analytics platforms for specific jurisdictions increases deployment times and operational expenses, thereby reducing the speed at which companies can implement essential performance optimization tools.

The economic weight of these compliance obligations is evident in recent industry data. According to the GSMA, in 2025, mobile operators globally spend between $15 billion and $19 billion annually on core cybersecurity activities. This expenditure, largely driven by the need to meet rigorous and often misaligned regulatory standards, diverts critical capital away from market growth and technology acquisition. Consequently, the high costs associated with navigating these privacy laws directly hamper the scalability and profitability of network analytics solutions.

Key Market Trends

The Convergence of Network Performance and Security Analytics, or NetSecOps, is dismantling the traditional silos between network and security operations. As cyber threats increasingly exploit lateral pathways within hybrid infrastructures, organizations are integrating Network Detection and Response with performance monitoring tools to eliminate critical blind spots. This unification ensures that encrypted traffic and data flows are scrutinized for both latency issues and potential compromises, addressing the inability of isolated legacy tools to identify sophisticated attacks. The urgency for this integrated visibility is driven by the widening gap in threat detection capabilities. According to Gigamon, June 2025, in the '2025 Hybrid Cloud Security Survey', 55% of security and IT leaders reported a lack of confidence in their current tools' ability to detect breaches, citing limited visibility into network traffic as the primary obstacle.

Simultaneously, the market is undergoing a critical Migration Toward Cloud-Native and SaaS-Based Delivery Architectures. Legacy on-premises monitoring systems struggle to scale with the dynamic nature of microservices and containerized environments, accelerating the adoption of cloud-hosted observability platforms. These SaaS solutions provide the elasticity required to ingest massive telemetry volumes without the operational overhead of hardware maintenance, driving a strategic shift toward centralized and simplified management. This architectural transition is significantly fueling efforts to reduce tool sprawl. According to New Relic, September 2025, in the '2025 Observability Forecast', 52% of organizations plan to consolidate their observability tools onto a unified platform within the next two years to better manage their complex technology stacks.

Segmental Insights

The Telecom Network segment is projected to register the fastest growth within the Global Network Analytics Market. This expansion is primarily driven by the extensive worldwide deployment of 5G infrastructure, which demands comprehensive analytical tools to manage increased network complexity. Furthermore, the exponential surge in mobile data traffic and the proliferation of IoT devices compel telecommunication service providers to implement analytics for real-time traffic optimization. Regulatory authorities also enforce strict service quality standards, necessitating the adoption of these solutions to ensure compliance and enhance customer experience management, thereby accelerating segment growth.

Regional Insights

North America currently holds the leading position in the Global Network Analytics Market due to the extensive adoption of cloud computing and early investments in modern network infrastructure. This dominance is supported by the high concentration of major technology companies in the United States that drive innovation in data traffic management. Furthermore, strict compliance standards regarding network reliability and security, enforced by institutions such as the Federal Communications Commission, compel telecommunications providers to implement analytics solutions. Consequently, the continuous demand for efficient network monitoring and optimization tools solidifies the region as the primary revenue generator in this sector.

Recent Developments

• In July 2024, Extreme Networks announced a strategic collaboration with Intel’s Connectivity Analytics Program to enhance the artificial intelligence capabilities of its network analytics solutions. This partnership focused on integrating network data with unique device insights from personal computers to optimize performance, security, and user experience. By leveraging generative AI and extended visibility from the chip manufacturer’s analytics software, the initiative aimed to provide richer, data-driven insights for IT teams. The company highlighted that this cooperation would enable smarter, more responsive networks capable of proactively addressing connectivity issues and improving overall operational efficiency for enterprise customers.
• In March 2024, Keysight Technologies introduced the AI Data Center Test Platform, a solution designed to accelerate the design, validation, and optimization of artificial intelligence and machine learning network infrastructure. This new offering enabled engineers to emulate high-scale workloads with measurable fidelity, providing deep insights into collective communication performance within computer clusters. The platform addressed the growing need for robust testing of high-bandwidth networks required for training large artificial intelligence models. By facilitating realistic benchmarking of network fabrics, the company aimed to help data center operators significantly improve the efficiency and scalability of their compute infrastructure.
• In March 2024, Cisco Systems completed the acquisition of Splunk, a leader in cybersecurity and observability, in a transaction valued at approximately $28 billion. This strategic move combined the company's extensive networking and security portfolio with Splunk’s advanced data analytics and observability capabilities. The integration aimed to provide organizations with unparalleled visibility and insights across their entire digital footprint, enhancing resilience against cybersecurity threats. By unifying these technologies, the company intended to revolutionize how customers leverage data to connect and protect their infrastructure, driving innovations in artificial intelligence-powered security and network analytics solutions.
• In January 2024, Juniper Networks launched the industry’s first AI-Native Networking Platform designed to leverage artificial intelligence for optimizing end-to-end operator and end-user experiences. This new platform unified all campus, branch, and data center networking solutions under a common artificial intelligence engine. The company stated that this development would enable IT operations to benefit from deep insights, automated troubleshooting, and seamless networking assurance. By extending AI capabilities across every network domain, the platform aimed to significantly reduce operational expenditures and network trouble tickets, marking a strategic shift toward proactive and predictive network management for enterprises.

Key Market Players

• Cisco Systems, Inc.
• NVIDIA Corporation
• Fortinet, Inc.
• Hewlett Packard Enterprise Development LP
• Huawei Technologies Co., Ltd.
• IBM Corporation
• Juniper Networks, Inc.
• SAS Institute Inc.
• Nokia Corporation
• Oracle Corporation

By Component	By Network Type	By End User	By Region
Solution and Services	Enterprise Network and Telecom Network	Organization Enterprise Telecom Companies and Data Centers	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global Network Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

• Network Analytics Market, By Component:

• Solution and Services

• Network Analytics Market, By Network Type:

• Enterprise Network and Telecom Network

• Network Analytics Market, By End User:

• Organization
• Enterprise
• Telecom Companies
• and Data Centers

• Network Analytics Market, By Region:

• North America
• United States
• Canada
• Mexico
• Europe
• France
• United Kingdom
• Italy
• Germany
• Spain
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• South America
• Brazil
• Argentina
• Colombia
• Middle East & Africa
• South Africa
• Saudi Arabia
• UAE