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Add to CartNetwork Analytics Market
By Component;
Solutions, and Services - [Professional Services, and Managed Services]By Deployment Mode;
On-Premises and CloudBy Organization Size;
Small and Medium-Sized Enterprises and Large EnterprisesBy Application;
Customer Analysis, Risk Management and Fault Detection, Network Performance Management, Compliance Management, Quality Management, and OthersBy End User;
Cloud Service Providers, Managed Service Providers, Telecom Service Providers, and OthersBy Geography;
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America - Report Timeline (2021 - 2031)Network Analytics Market Overview
Network Analytics Market (USD Million)
Network Analytics Market was valued at USD 3,396.18 million in the year 2024. The size of this market is expected to increase to USD 12,601.49 million by the year 2031, while growing at a Compounded Annual Growth Rate (CAGR) of 20.6%.
Network Analytics Market
*Market size in USD million
CAGR 20.6 %
| Study Period | 2025 - 2031 |
|---|---|
| Base Year | 2024 |
| CAGR (%) | 20.6 % |
| Market Size (2024) | USD 3,396.18 Million |
| Market Size (2031) | USD 12,601.49 Million |
| Market Concentration | Low |
| Report Pages | 325 |
Major Players
- Ericsson
- Huawei
- Cisco
- Nokia
- Netscout
- Accenture
- IBM
- Juniper Networks
- SevOne
- SAS Institute
- Sandvine
- Fortinet
- TIBCO Software
- Broadcom
- Nivid Technologies
- Extreme Networks
- HPE
- Ciena
- Netvelocity
- Innowireless
- Actix
Market Concentration
Consolidated - Market dominated by 1 - 5 major players
Network Analytics Market
Fragmented - Highly competitive market without dominant players
The Network Analytics Market is witnessing rapid growth due to the increasing complexity of enterprise networks and the rising demand for proactive network monitoring. Over 60% of organizations are integrating network analytics to gain actionable insights and ensure seamless performance. This surge is further fueled by the rising need for real-time data visibility, which supports operational efficiency and security enhancements across digital infrastructure.
Opportunities in Predictive Network Intelligence
As more than 55% of businesses shift towards digital transformation, the demand for predictive analytics within networking tools has become essential. Organizations are leveraging network behavior analysis to identify anomalies, enabling quicker decision-making and reducing potential downtimes. This growing interest is opening up significant opportunities for vendors focusing on AI-powered analytics platforms and automated incident response solutions.
Strategies for Seamless Network Operations
Strategic integration of machine learning and cloud-based tools into network analytics platforms is transforming enterprise infrastructure. Over 58% of network teams now rely on these technologies to streamline workflows and improve service delivery. Companies are also forming partnerships with analytics providers to deploy customized network solutions, showcasing a trend towards collaborative innovation and smarter network strategies.
Future Outlook with Technological Advancements
With more than 65% of enterprises planning to upgrade their network monitoring frameworks, the future of the Network Analytics Market is expected to revolve around advanced analytics, IoT integration, and self-healing network capabilities. Continuous technological advancements and growing emphasis on data-driven decision-making are poised to fuel sustained growth and market expansion, creating a competitive edge for forward-looking vendors.
Network Analytics Market Recent Developments
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In May 2023, Juniper Networks, Inc. launched the Mist Access Assurance service, the first cloud-native service. The network access control (NAC) and policy management capabilities of Juniper's wired access, wireless access, indoor location, SD-WAN, and secure client-to-cloud portfolio are now available through this new service, which makes use of Mist AI and a contemporary microservices cloud.
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In March 2023, IBM partnered with Nokia to help the growing sector so that enterprises can benefit from secure, customized connectivity services enabled by a highly available 5G cloud network.
Network Analytics Market Segment Analysis
In this report, the Network Analytics Market has been segmented by Component, Deployment Mode, Organization Size, Application, End User, and Geography.
Network Analytics Market, Segmentation by Component
The Network Analytics Market has been segmented by Component into Solutions and Services.
Solutions
Solutions in the network analytics market include advanced software tools used for network performance monitoring, security threat detection, and data analysis. These tools allow organizations to proactively manage their network operations, providing visibility into traffic patterns and system anomalies. With increasing data traffic and complexity in networks, demand is rising for analytics platforms that deliver real-time intelligence and automated decision-making support. Organizations rely on these solutions to boost efficiency, reduce downtime, and ensure optimal network behavior across enterprise systems.
Services
The services segment is categorized into professional services and managed services, each offering strategic support for analytics implementation. Professional services provide consulting, integration, and optimization solutions tailored to organizational goals, while managed services offer continuous monitoring and performance management. These services play a key role in reducing internal resource dependency, particularly for firms with limited in-house expertise. With growing network complexity, businesses increasingly turn to service providers for scalable and cost-effective network management and analytics support.
Network Analytics Market, Segmentation by Deployment Mode
The Network Analytics Market has been segmented by Deployment Mode into On-Premises and Cloud.
On-Premises
On-premises deployment involves installing analytics tools within a company’s own IT environment, offering enhanced data control and customization. This model is preferred by organizations with strict compliance and security requirements, such as those in finance or government sectors. It allows for deep integration with legacy systems and supports complex custom workflows. Despite higher upfront costs, this deployment ensures full ownership over infrastructure and data, making it suitable for large enterprises with in-house IT capabilities.
Cloud
Cloud-based deployment offers organizations flexibility, scalability, and lower upfront investment, especially beneficial for SMEs and growing enterprises. Delivered over the internet, these platforms eliminate the need for physical infrastructure and allow seamless updates and maintenance. With features like real-time monitoring and AI-powered insights, cloud deployment helps businesses rapidly adapt to network demands. As enterprises embrace digital transformation, cloud-based network analytics is becoming a preferred choice for its operational agility and cost-effectiveness.
Network Analytics Market, Segmentation by Organization Size
The Network Analytics Market has been segmented by Organization Size into Small and Medium-Sized Enterprises and Large Enterprises.
Small and Medium-Sized Enterprises (SMEs)
SMEs adopt network analytics to enhance operational efficiency and ensure network reliability with limited IT resources. Cloud-based solutions are particularly favored for their affordability and ease of implementation. These businesses leverage analytics to monitor network traffic, identify threats, and support remote working environments. As digital adoption grows, SMEs increasingly use analytics to maintain uptime, reduce costs, and remain competitive in fast-evolving markets.
Large Enterprises
Large enterprises implement comprehensive analytics platforms to manage their complex and expansive networks. These platforms provide advanced data processing, machine learning capabilities, and predictive insights to support business-critical decisions. With greater financial and technical resources, large organizations often combine on-premises and hybrid deployments to ensure flexibility and security. Analytics supports functions such as customer experience optimization, capacity planning, and regulatory compliance, becoming integral to enterprise IT strategy.
Network Analytics Market, Segmentation by Application
The Network Analytics Market has been segmented by Application into Customer Analysis, Risk Management and Fault Detection, Network Performance Management, Compliance Management, Quality Management and Others.
Customer Analysis
Customer analysis applications leverage analytics to study user behavior, preferences, and trends across networks. This helps in personalizing services, improving customer engagement, and boosting retention rates. Service providers use these insights to optimize pricing, identify upsell opportunities, and deliver value-added experiences. The rise of customer-centric strategies is driving demand for tools that convert raw network data into actionable customer intelligence.
Risk Management and Fault Detection
This application focuses on identifying and mitigating risks, preventing system failures, and ensuring network availability. Real-time alerts and predictive modeling allow IT teams to resolve issues before they impact operations. Fault detection analytics improve response times, reduce outages, and enhance operational resilience. As networks become more dynamic and distributed, the need for automated risk detection is growing rapidly.
Network Performance Management
Performance management ensures efficient use of bandwidth, reduces latency, and supports seamless user experience across applications. Through continuous monitoring, organizations can identify bottlenecks, optimize resource allocation, and maintain service level agreements (SLAs). As enterprises migrate to cloud and hybrid environments, the ability to monitor performance across various nodes is crucial for delivering consistent connectivity.
Compliance Management
Compliance management enables organizations to monitor network activities to meet industry and legal standards. Analytics tools track usage logs, detect anomalies, and produce audit-ready reports to ensure regulatory adherence. Businesses use these capabilities to avoid penalties and protect their brand reputation. With growing regulations in data privacy and security, demand for compliance-focused network analytics continues to rise.
Quality Management
This application focuses on sustaining service excellence by monitoring key performance indicators such as uptime, packet loss, and jitter. Quality analytics help teams measure user satisfaction, troubleshoot issues efficiently, and improve overall service delivery. Organizations across industries implement these solutions to maintain high reliability and customer loyalty. With the rise of 5G and IoT, managing service quality is becoming more critical.
Network Analytics Market, Segmentation by End User
The Network Analytics Market has been segmented by End User into Cloud Service Providers, Managed Service Providers, Telecom Service Providers and Others.
Cloud Service Providers
Cloud service providers utilize network analytics to enhance the performance, scalability, and security of their infrastructure. These tools enable real-time visibility into traffic patterns and workload distribution, ensuring optimal cloud delivery. Providers use analytics to deliver differentiated services and strengthen their competitive edge. In a highly dynamic cloud landscape, analytics is key to driving efficiency and innovation.
Managed Service Providers
Managed service providers rely on network analytics to deliver proactive network monitoring, performance tuning, and security management for their clients. These services help reduce operational costs and enhance service quality for businesses without dedicated IT teams. MSPs leverage analytics for strategic insights, SLA compliance, and automated issue resolution. As outsourcing grows, analytics becomes central to managed service delivery models.
Telecom Service Providers
Telecom companies implement analytics to manage growing data volumes, optimize bandwidth usage, and improve network reliability. These tools support customer segmentation, churn prediction, and service quality monitoring. Analytics allows telecoms to scale their infrastructure intelligently and address performance challenges. With rising demand for high-speed connectivity, analytics empowers telecoms to deliver next-gen digital services.
Network Analytics Market, Segmentation by Geography
The Network Analytics Market has been segmented by Geography into North America, Europe, Asia Pacific, Middle East & Africa, and Latin America.
Regions and Countries Analyzed in this Report
Network Analytics Market Share (%), by Geographical Region
North America
North America holds the largest market share at approximately 36%, driven by early adoption of digital technologies and a strong presence of major network analytics vendors. The region's advanced infrastructure, data privacy regulations, and investment in 5G and cloud computing foster robust demand. Enterprises in this region prioritize analytics for improving customer service and achieving operational excellence. Innovation hubs in the U.S. further propel growth.
Europe
Europe contributes nearly 25% to the market share, supported by strict compliance standards such as GDPR and a high focus on network efficiency. Organizations in Europe adopt analytics to enhance data transparency and meet legal obligations. Investment in smart city projects and cross-border data flows also create a fertile ground for analytics expansion. The growing demand for hybrid cloud solutions strengthens the region’s strategic market position.
Asia Pacific
Asia Pacific commands about 22% of the market share and is expected to grow rapidly due to increasing smartphone penetration, digital transformation initiatives, and expanding telecom networks. Countries like China, India, and Japan are driving large-scale deployments of network analytics. Government support for smart infrastructure and AI-based solutions fuels adoption. The region offers significant growth potential for vendors targeting emerging economies.
Middle East and Africa
MEA accounts for around 10% of the market share, with growth led by digital infrastructure investments in countries like UAE and Saudi Arabia. The increasing focus on smart cities and public safety is driving analytics demand. Telecom modernization projects and rising internet usage across the region enhance the role of analytics in network optimization and cybersecurity management.
Latin America
Latin America holds approximately 7% market share, supported by the growth of mobile broadband and digital banking. Brazil and Mexico lead regional adoption as businesses invest in analytics for better network control and cost efficiency. Though in early stages, awareness of analytics’ benefits is increasing, making this region an emerging opportunity for future market expansion.
Market Trends
This report provides an in depth analysis of various factors that impact the dynamics of Global Network Analytics Market. These factors include; Market Drivers, Restraints and Opportunities Analysis.
Drivers, Restraints and Opportunity Analysis
Drivers
- Addressing Network Complexity Arising Due to the Advent of New Technologies, Such as 5G, IoT, and Cloud
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Increase in Data Volume and Changes in Traffic Patterns:The advent of new technologies such as 5G, the Internet of Things (IoT), and cloud computing has significantly increased network complexity, necessitating more sophisticated network management and analytics solutions. 5G technology, with its promise of ultra-fast speeds and low latency, is revolutionizing the way data is transmitted and processed. However, managing 5G networks requires advanced analytics to handle the massive influx of data and to maintain optimal network performance. The complexity of 5G networks, characterized by numerous small cells and higher frequency bands, demands precise monitoring and real-time analysis to ensure seamless connectivity and efficient resource allocation.
IoT further amplifies network complexity by introducing a vast number of connected devices, each generating continuous streams of data. These devices, ranging from smart home appliances to industrial sensors, create highly diverse and dynamic traffic patterns. Network analytics is crucial in managing this diversity, ensuring that IoT devices remain connected, secure, and functional. Advanced analytics tools help in detecting anomalies, predicting potential failures, and optimizing the performance of IoT networks. By providing insights into device behavior and data flow, network analytics enables organizations to harness the full potential of IoT technologies while maintaining robust network security and efficiency.
The shift towards cloud computing also contributes to the complexity and volume of network traffic. As businesses increasingly migrate their applications and data to the cloud, the patterns of data traffic change significantly. Cloud environments require robust analytics to manage data flow, ensure application performance, and secure data transmission across hybrid and multi-cloud infrastructures. Network analytics solutions play a vital role in monitoring these environments, providing visibility into traffic patterns, detecting latency issues, and optimizing bandwidth usage. By addressing the challenges posed by the integration of 5G, IoT, and cloud technologies, network analytics helps organizations to effectively manage their networks and adapt to the evolving technological landscape.
Restraints
- High CAPEX and OPEX
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Rise in Sdn Integration With Existing Network Infrastructures:The high capital expenditure (CAPEX) and operational expenditure (OPEX) associated with network infrastructure upgrades pose significant challenges for organizations. The deployment of advanced technologies such as 5G, IoT, and cloud computing often requires substantial investment in new hardware, software, and skilled personnel. These high costs can be a barrier, especially for small and medium-sized enterprises (SMEs) that may struggle to allocate the necessary resources. Moreover, the ongoing maintenance, management, and security of these advanced network infrastructures add to the operational costs, making it essential for businesses to find efficient and cost-effective solutions to manage their networks.
One promising approach to mitigating these costs is the integration of Software-Defined Networking (SDN) with existing network infrastructures. SDN offers a flexible, scalable, and cost-effective way to manage and optimize network resources. By decoupling the control plane from the data plane, SDN provides centralized network management, enabling dynamic adjustment of network configurations in response to changing demands and traffic patterns. This reduces the need for expensive hardware upgrades and allows for more efficient utilization of existing network resources. Consequently, organizations can lower both their CAPEX and OPEX while enhancing network performance and agility.
The rise in SDN integration is transforming how organizations handle network complexity and operational challenges. SDN facilitates seamless integration with traditional network infrastructures, allowing businesses to adopt a hybrid approach that maximizes the benefits of both traditional and software-defined networks. This integration supports advanced network analytics, providing enhanced visibility and control over network operations. With SDN, organizations can automate routine tasks, streamline network management processes, and respond more quickly to network issues, thereby reducing operational costs. As SDN technology continues to evolve, its role in minimizing CAPEX and OPEX while enabling advanced network functionalities is expected to grow, making it a critical component in the future of network management.
Opportunities
- Benefits of Real-Time Network Analytics to Boost Its Demand in Future
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Increase in the Number of Connected Devices:Real-time network analytics offers numerous benefits that are expected to drive its demand in the future. One of the primary advantages is the ability to monitor network performance continuously and detect issues as they arise. This proactive approach allows organizations to identify and address potential problems before they impact network operations, thereby reducing downtime and improving overall reliability. Real-time analytics also facilitates quick decision-making by providing instant insights into network traffic, usage patterns, and performance metrics. This capability is crucial for maintaining high levels of service quality and ensuring optimal network functionality, especially in dynamic environments where network conditions can change rapidly.
The increasing number of connected devices further underscores the importance of real-time network analytics. As more devices become interconnected, generating vast amounts of data, managing network traffic and ensuring seamless connectivity becomes increasingly challenging. Real-time analytics helps in efficiently handling this complexity by providing immediate visibility into the network's status and performance. It allows for the dynamic allocation of resources, ensuring that each connected device receives the necessary bandwidth and support. This is particularly important for IoT environments, where devices continuously exchange data, and any latency or downtime can significantly disrupt operations.
Moreover, the ability to perform real-time analytics enhances network security by enabling the immediate detection and mitigation of cyber threats. As the number of connected devices grows, so does the potential attack surface for cybercriminals. Real-time network analytics can identify unusual patterns of behavior and potential security breaches as they occur, allowing for swift intervention to protect sensitive data and maintain network integrity. This heightened security capability is increasingly essential as organizations expand their digital footprint and rely more heavily on networked systems. Consequently, the demand for real-time network analytics is poised to grow, driven by the need for improved performance, reliability, and security in an increasingly connected world.
Competitive Landscape Analysis
Key players in Global Network Analytics Market include:
- Ericsson
- Huawei
- Cisco
- Nokia
- Netscout
- Accenture
- IBM
- Juniper Networks
- SevOne
- SAS Institute
- Sandvine
- Fortinet
- TIBCO Software
- Broadcom
- Nivid Technologies
- Extreme Networks
- HPE
- Ciena
- Netvelocity
- Innowireless
- Actix
In this report, the profile of each market player provides following information:
- Company Overview and Product Portfolio
- Key Developments
- Financial Overview
- Strategies
- Company SWOT Analysis
- Introduction
- Research Objectives and Assumptions
- Research Methodology
- Abbreviations
- Market Definition & Study Scope
- Executive Summary
- Market Snapshot, By Component
- Market Snapshot, By Deployment Mode
- Market Snapshot, By Organization Size
- Market Snapshot, By Application
- Market Snapshot, By End User
- Market Snapshot, By Region
- Network Analytics Market Dynamics
- Drivers, Restraints and Opportunities
- Drivers
- Addressing Network Complexity Arising Due to the Advent of New Technologies, Such as 5G, IoT, and Cloud
- Increase in Data Volume and Changes in Traffic Patterns
- Restraints
- High CAPEX and OPEX
- Rise in Sdn Integration With Existing Network Infrastructures
- Opportunities
- Benefits of Real-Time Network Analytics to Boost Its Demand in Future
- Increase in the Number of Connected Devices
- Drivers
- PEST Analysis
- Political Analysis
- Economic Analysis
- Social Analysis
- Technological Analysis
- Porter's Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitutes
- Threat of New Entrants
- Competitive Rivalry
- Drivers, Restraints and Opportunities
- Market Segmentation
- Network Analytics Market, By Component, 2021 - 2031 (USD Million)
- Solutions
- Services
- Professional Services
- Managed Services
- Network Analytics Market, By Deployment Mode, 2021 - 2031 (USD Million)
- On-Premises
- Cloud
- Network Analytics Market, By Organization Size, 2021 - 2031 (USD Million)
- Small and Medium-Sized Enterprises
- Large Enterprises
- Network Analytics Market, By Application, 2021 - 2031 (USD Million)
- Customer Analysis
- Risk Management and Fault Detection
- Network Performance Management
- Compliance Management
- Quality Management
- Others
- Network Analytics Market, By End User, 2021 - 2031 (USD Million)
- Cloud Service Providers
- Managed Service Providers
- Telecom Service Providers
- Others
- Network Analytics Market, By Geography, 2021 - 2031 (USD Million)
- North America
- United States
- Canada
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Nordic
- Benelux
- Rest of Europe
- Asia Pacific
- Japan
- China
- India
- Australia & New Zealand
- South Korea
- ASEAN (Association of South East Asian Countries)
- Rest of Asia Pacific
- Middle East & Africa
- GCC
- Israel
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America
- North America
- Network Analytics Market, By Component, 2021 - 2031 (USD Million)
- Competitive Landscape
- Company Profiles
- Ericsson
- Huawei
- Cisco
- Nokia
- Netscout
- Accenture
- IBM
- Juniper Networks
- SevOne
- SAS Institute
- Sandvine
- Fortinet
- TIBCO Software
- Broadcom
- Nivid Technologies
- Extreme Networks
- HPE
- Ciena
- Netvelocity
- Innowireless
- Actix
- Company Profiles
- Analyst Views
- Future Outlook of the Market