Global Telecom Performance Management Software Market Trends and Insights
Accelerating 5G Standalone and Network Slicing Deployments
Commercial 5G Standalone deployments are increasing demand for slice-aware performance tools that were not needed in 4G-era OSS environments. Standalone networks require assurance of KPIs across radio access, transport, and core domains for each slice. 3GPP TS 28.554 defines end-to-end slicing KPIs that cover accessibility, integrity, utilization, and retainability. Nokia and AWS presented an agentic AI-powered 5G-Advanced slicing solution in February 2026, with du and Orange identified as initial adopters. NETSCOUT extended Omnis AI Insights to support predictive maintenance and network security across 5G, RAN, core, MEC, and transport domains. Enterprise customers are increasingly asking operators to demonstrate service performance, making assurance software relevant to both commercial delivery and network operations.AI-Driven Predictive Assurance and Closed-Loop Automation
The telecom performance management software market is moving from reactive fault handling toward predictive assurance and closed-loop automation. Ericsson introduced Agentic rApp as a Service on AWS in February 2026 and reported that its platform supported more than 100 million AI inferences each day across 11 million cells serving over 2 billion subscribers. RADCOM introduced its Neura AI Agent Suite in February 2026 for network operations, service assurance, and customer care. The suite uses coordinated agents for root-cause analysis and supports Model Context Protocol and Agent-to-Agent communication standards. Deutsche Telekom developed the MINDR agent system with Google Cloud to correlate signals across network domains and identify service issues before customers experience them. Vendors are increasingly competing on the quality of operational decisions and on demonstrated reductions in restoration time and SLA breaches, rather than on data collection alone.Legacy OSS Data Silos and Inconsistent KPI Semantics
Legacy OSS systems remain a constraint on AI-enabled performance management because network information is often distributed across many incompatible systems. Different vendor systems may define or record the same KPI differently, making cross-domain calculations less reliable. A latency measure from a RAN platform, for example, may not align directly with one taken from a core monitoring tool. Operators must normalize data and strengthen inventory governance before they can effectively train AI models. TM Forum's PRISM-AI Phase II work presented in June 2026 showed the role of common standards, AI analytics, and cross-vendor integration in addressing these silos. These programs require time, funding, and engineering capacity, which slows adoption in the telecom performance management software market.Other drivers and restraints analyzed in the detailed report include:
- Rising Multi-Vendor and Multi-Domain Network Complexity
- Increasing Demand for SLA-Backed Enterprise Connectivity
- High Integration and Migration Costs Across Multi-Vendor Networks
Segment Analysis
Software accounted for 71.24% of the Telecom performance management software market size in 2025. Within the telecom performance management software market, operators favor software platforms that place analytics directly within network operations workflows. These platforms can connect with OSS, BSS, and AI pipelines through standard APIs. This reduces the need to hand off data between separate environments. The installed base reflects investment in unified network operations center dashboards, AIOps-ready data lakes, and API-first architectures. It also reflects the need to consolidate multivendor RAN, transport, and core telemetry into a single operational view.Services are projected to grow at an 11.54% CAGR through 2031. Operators are using managed services, systems integration, and AIOps consulting when they lack large internal data engineering teams. Mycom announced a multiyear agreement, effective June 2026, with a Tier-1 European CSP for its PrOptima Performance Management application on AWS. The agreement illustrates SaaS delivery in which the provider assumes responsibility for integration and AI model governance. As operators advance toward Level 4 autonomous operations, service providers can also support model retraining and outcome-based SLA management. This gives vendors with professional service capabilities an additional route to revenue.
Cloud-based deployment represented 63.78% of revenue in 2025 and is projected to grow at an 11.82% CAGR through 2031. Within the telecom performance management software market, its large share and faster growth indicate a broad cloud-native OSS transition, rather than adoption limited to greenfield operators. Cloud platforms allow operators to deploy assurance, orchestration, inventory, and automation capabilities with shared operating models. They also support SaaS delivery, which can simplify access to current software features. The telecom performance management software market is therefore moving toward platforms that can support cloud deployment at operator scale.
On-premises deployment remains relevant where security and data residency requirements are strict. O2 Telefónica deployed 5G core capabilities on AWS Outposts in its own data center in March 2026. The deployment showed how an operator can use cloud capabilities while keeping selected functions in its own facilities. European electronic communications requirements and data residency concerns support this approach in regulated environments. Hybrid models are likely to coexist with pure cloud models during the forecast period. Vendors that support several deployment options can address a wider range of operator requirements.
Complete Report Scope:
- By Component
- Software
- Services
- By Deployment Mode
- Cloud-Based
- On-Premises
- By Application
- Network Monitoring
- Fault and Event Management
- Quality-of-Service Management
- Service-Level Management
- Capacity Planning and Optimization
- Other Applications
- By Network Domain
- Radio Access Network
- Core Network
- Transport Network
- Fixed Access Network
- Edge and Cloud Infrastructure
- Enterprise and Private Network
- By Organization Size
- Large Enterprises
- Small and Medium-Sized Enterprises
- End User
- Telecommunications Operators
- Internet Service Providers
- Managed Service Providers
- Neutral Hosts and Tower Companies
- Private Network Operators
- By Geography
- North America
- United States
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Rest of South America
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Russia
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Rest of Asia-Pacific
- Middle East
- Saudi Arabia
- United Arab Emirates
- Turkey
- Rest of Middle East
- Africa
- South Africa
- Egypt
- Rest of Africa
- North America
Geography Analysis
North America held 35.18% of the Telecom performance management software market share in 2025. The region's position reflects 5G Standalone upgrades, advanced adoption of cloud OSS, and enterprise private 5G activity. Federal Communications Commission reporting requirements for 5G coverage and performance support ongoing investment in monitoring among licensed carriers. Ericsson reported in February 2026 that its AI-powered optimization platform handled over 100 million AI inferences a day across 11 million cells. Canada and Mexico add demand through enterprise digital transformation and spectrum monetization programs.Asia-Pacific is projected to grow at an 12.42% CAGR through 2031. China and India support this expansion through large 5G deployments, while Japan and South Korea advance cloud-native and Open RAN programs. NTT DOCOMO and NEC launched Japan's first commercial 5G core on AWS in February 2026. The deployment used AI-automated network construction and dynamic capacity scaling in a production environment. NTT East Japan's 26-company local 5G project also examined RAN power optimization and interference mitigation. India's phased nationwide rollout is increasing demand for platforms that can manage new 5G Standalone networks at national scale.
Europe remains technically advanced and investment active in the Telecom performance management software market. Germany, the United Kingdom, France, and the Nordic region are deploying cloud-native OSS, automated assurance, and AI-driven network operations programs. Netcracker and Swisscom received the 2026 FutureNet Award for a SaaS autonomous network platform that reduced deployment time by more than 60% and development costs by 40%. O2 Telefónica's March 2026 deployment addressed data residency concerns through a core deployment in its own data center. South America, the Middle East, and Africa have later but accelerating 5G rollout schedules. Brazil, Saudi Arabia, the United Arab Emirates, and South Africa are expanding cloud performance-management procurement as part of wider digital transformation programs.
List of Companies Covered in this Report:
- Telefonaktiebolaget LM Ericsson
- Nokia Corporation
- Huawei Technologies Co., Ltd.
- International Business Machines Corporation
- Oracle Corporation
- Amdocs Limited
- Cisco Systems, Inc.
- Hewlett Packard Enterprise Company
- Juniper Networks, Inc.
- Broadcom Inc.
- NETSCOUT SYSTEMS, INC.
- VIAVI Solutions Inc.
- EXFO Inc.
- Infovista SAS
- Comarch S.A.
- RADCOM Ltd.
- Spirent Communications plc
- Paessler AG
- Progress Software Corporation
- TEOCO Corporation
Additional Benefits:
- The market estimate (ME) sheet in Excel format
- 3 months of analyst support
Table of Contents
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Telefonaktiebolaget LM Ericsson
- Nokia Corporation
- Huawei Technologies Co., Ltd.
- International Business Machines Corporation
- Oracle Corporation
- Amdocs Limited
- Cisco Systems, Inc.
- Hewlett Packard Enterprise Company
- Juniper Networks, Inc.
- Broadcom Inc.
- NETSCOUT SYSTEMS, INC.
- VIAVI Solutions Inc.
- EXFO Inc.
- Infovista SAS
- Comarch S.A.
- RADCOM Ltd.
- Spirent Communications plc
- Paessler AG
- Progress Software Corporation
- TEOCO Corporation

