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Network Slicing Analytics Market Growth Potential: How Will Market Size Shift Through 2030?
The network slicing analytics market size has experienced rapid expansion in recent years. This market is projected to expand from $2.57 billion in 2025 to $3.24 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 26.0%. Historically, this growth has been driven by several factors, including the proliferation of 5G network deployments, the growing embrace of virtualized network functions (VNF), an increasing need for quality of service (QoS) management, heightened investments in telecom infrastructure, and the imperative for effective network resource utilization.
The network slicing analytics market is set for significant growth in the coming years. It is projected to achieve a value of $8.15 billion by 2030, expanding at a compound annual growth rate (CAGR) of 25.9%. This projected growth stems from the expansion of private 5G networks, the increasing utilization of edge computing in the telecom sector, a rising demand for network automation, the growth in connected devices and IoT traffic, and the wider adoption of AI-driven network management. Prominent trends for this period include dynamic slice performance monitoring and optimization, real-time network visibility and traffic intelligence, the use of predictive analytics for proactive network management, SLA-driven service assurance for network slices, and the integration of analytics with multi-domain network orchestration.
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Network Slicing Analytics Market Demand Drivers: What’s Powering Industry Growth?
The expanding deployment of fifth-generation (5G) networks is anticipated to stimulate the advancement of the network slicing analytics market in the future. The implementation of fifth-generation (5G) networks involves setting up and launching advanced mobile communication infrastructure, which facilitates faster data transmission, reduced delays, enhanced network capacity, and compatibility with upcoming digital applications. This deployment is escalating owing to the growing worldwide need for extremely dependable, low-latency connectivity to back new technologies. Network slicing analytics aids this expansion by empowering operators to optimize, oversee, and guarantee the efficiency of dedicated virtual network slices for crucial applications. For example, data from February 2024, provided by the UK-based mobile industry association, GSM Association, indicates that 5G represents the quickest mobile generation rollout yet, exceeding one billion connections by the close of 2022, increasing to 1.6 billion connections by the end of 2023, and projected to hit 5.5 billion by 2030. Consequently, the expanding implementation of fifth-generation (5G) networks is fueling the expansion of the network slicing analytics market.
Network Slicing Analytics Market Breakdown By Product Type And Application
The network slicing analytics market covered in this report is segmented –
1) By Component: Software, Hardware, Services
2) By Deployment Mode: On-Premises, Cloud
3) By Organization Size: Small And Medium Enterprises (SMEs), Large Enterprises
4) By Industry Vertical: Banking Financial Services And Insurance (BFSI), Healthcare, Manufacturing, Information Technology (IT) And Telecom, Automotive, Media And Entertainment, Other Industry Verticals
5) By Application: Performance Monitoring, Security Analytics, Service Level Agreement (SLA) Management, Network Optimization, Other Applications
Subsegments:
1) By Software: Network Monitoring Software, Performance Analytics Software, Traffic Management Software, Service Assurance Software
2) By Hardware: Network Probes, Edge Computing Devices, Data Collection Sensors, Monitoring Appliances
3) By Services: Consulting Services, Implementation Services, Managed Services, Support And Maintenance Services
Network Slicing Analytics Market Innovation Trends: What Developments Are Reshaping The Industry?
Leading firms within the network slicing analytics market are prioritizing the implementation of cutting-edge technologies such as transport slice automation and analytics. This focus aims to improve comprehensive slice visibility, guarantee adherence to service level agreements (SLA), and facilitate real-time optimization of network assets throughout 5G infrastructures. These transport slice automation and analytics capabilities represent software-controlled systems that continuously examine performance data at the slice level across transport networks to aid in dynamic resource distribution, anticipate and detect faults, and ensure SLA compliance for both enterprise and 5G standalone services. As an example, in February 2024, Cisco Systems, Inc., a US-based networking and communications technology company, launched transport slice automation functionalities within its Cisco Crosswork Network Controller 6.0. This development provides real-time insight into transport slice performance, supports automated resource optimization for hybrid cloud and 5G standalone slicing applications, and combines analytics with orchestration to bolster SLA assurance for enterprise services.
Network Slicing Analytics Market Industry Leaders And Competitive Landscape
Major companies operating in the network slicing analytics market are Samsung Electronics Co. Ltd., Huawei Technologies Co. Ltd., Accenture plc, International Business Machines Corporation, Cisco Systems Inc., Hewlett Packard Enterprise Company, Telefonaktiebolaget LM Ericsson, NEC Corporation, Nokia Corporation, ZTE Corporation, VMware Inc., Juniper Networks Inc., Keysight Technologies Inc., Amdocs Limited, Ciena Corporation, Mavenir Systems Inc., Amantya Technologies Pvt. Ltd., Blue Planet Corporation, Argela Yazilim ve Bilisim Teknolojileri Sanayi ve Ticaret A.S., and Tambora Systems Pte. Ltd.
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Network Slicing Analytics Market Regional Analysis And Top Geography
North America was the largest region in the network slicing analytics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the network slicing analytics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
