Explore the latest global insights from Heavy Reading (now part of Omdia) on how telecom operators are transforming AI ambition into operational reality.
Overview
The telecom industry is at a turning point. As networks evolve to serve increasingly complex 5G and AI-driven use cases, operators are racing to automate, optimize, and ensure trust in their operations.
In this comprehensive 2025 AIOps Network Operator Survey, Heavy Reading (now part of Omdia), in collaboration with Amdocs and RADCOM, reveals how leading service providers worldwide are progressing from early AIOps initiatives to intelligent, autonomous networks powered by Agentic AI.
This third annual study analyzes operator strategies for AI adoption, data quality, service assurance integration, and trust-building through digital twins, based on a survey of 84 global network leaders across major operators.
Key Insights from the Report
📊 AIOps maturity is accelerating, 47% of operators say their assurance operations are already autonomous for specific use cases, though most still operate under human oversight.
⚙️ Data quality remains the foundation, 52% of operators still work with siloed systems, making unified data architectures and APIs critical for advancing AI.
🤖 Agentic AI is taking off, over 74% of operators plan to deploy AI agents across multiple network operations processes within two years.
🧠 Building AI trust through digital twins, 58% of operators use digital twins with human oversight, validating AI decisions before live deployment.
📈 5G user plane monitoring expands, 98% plan real-time user-plane analysis, but only 15% achieve full coverage today due to data volume and cost challenges.
Why Read This White Paper
- Learn how AIOps and Agentic AI are shaping the next generation of autonomous networks
- Benchmark your organization’s AI maturity and strategy against global operators
- Understand the role of data quality, standardization, and automation in enabling AI-driven assurance
- Gain insights into trust-building frameworks like digital twins and explainable AI
- See where RADCOM’s AI-powered assurance solutions align with industry trends
Frequently Asked Questions (FAQ)
Q1: What is this white paper about?
The white paper presents findings from the Heavy Reading (Omdia) 2025 AIOps Network Operator Survey, highlighting how telecom operators worldwide are advancing automation, improving data quality, and deploying Agentic AI to achieve network autonomy.
Q2: Who conducted the research?
The survey was conducted by Heavy Reading (now part of Omdia) in partnership with Amdocs and RADCOM, based on input from 84 network operators globally.
Q3: What is Agentic AI?
Agentic AI refers to autonomous AI systems (agents) capable of reasoning, planning, and taking actions within telecom operations—such as identifying anomalies, recommending remediation steps, and executing closed-loop automation with minimal human intervention.
Q4: Why is AIOps important for telecom networks?
AIOps (Artificial Intelligence for IT Operations) enables operators to automate root cause analysis, predictive maintenance, and performance optimization—reducing costs, improving reliability, and enhancing the customer experience across 5G, edge, and cloud environments.
Q5: What are the biggest challenges operators face?
According to the report, the main challenges are legacy OSS/BSS integration (55%), skills gaps (40%), and data silos (54%)—all of which slow down full AIOps and AI adoption.
Q6: Who should read this report?
This white paper is ideal for CTOs, network engineers, operations leaders, and strategy executives involved in digital transformation, network automation, or AI adoption initiatives.
Q7: How can RADCOM help?
RADCOM provides AI-driven service assurance solutions that empower operators to accelerate their AIOps journey, leverage real-time user-plane analytics, and deploy Agentic AI-based assurance for proactive, autonomous operations.
