AI-native networks. Encrypted traffic. The pressure to monetize 5G — these were not just buzzwords at MWC 2026, they were the dominant themes shaping conversations across the entire event. From keynote stages to technical discussions on the exhibition floor, one message was repeated again and again: telecom networks are becoming more intelligent, more complex and more difficult to operate.
For operators, the industry has clearly entered a new phase. The era of the 5G hype is over. Instead, the focus has shifted towards extracting real business value from existing infrastructure while managing rising operational costs and accelerating technological change.
Across exhibition halls and conference sessions in Barcelona, one theme dominated the conversation: Intelligence is becoming a core capability of modern networks. From AI-native architectures to automated operations and satellite-terrestrial convergence, the industry is moving toward networks that can analyze, adapt and optimize themselves in real time. Achieving this vision, however, depends on one critical prerequisite: high-quality network data and deep traffic visibility.
AI-native networks take shape — but data becomes the bottleneck
AI was not just a talking point at MWC — it was the backbone of the event. For telecom operators, AI has moved from experimentation to an operational requirement.
The most noticeable shift compared to previous years was how AI is positioned. Rather than being seen only as a tool for cost efficiency, operators increasingly view AI as a driver for new services and revenue streams. Examples ranged from AI-enabled applications at the edge to GPU-as-a-service offerings and APIs that expose network capabilities to developers.
In this context, many operators are also repositioning themselves as platform providers rather than pure connectivity providers. By exposing network capabilities through APIs, edge platforms and telco cloud services, they aim to enable developers and companies to build new services on top of existing telecom infrastructure.
Concepts such as intent-based networking are also gaining traction as operators explore higher levels of automation, where networks automatically translate operational intent into configuration and optimization actions.
Several technical trends stood out:
- AI embedded directly into RAN, core and network operations
- AI-driven automation for fault detection and predictive maintenance
- AI integration with cloud-native architectures and edge platforms
- Growing interest in autonomous networks supported by intent-based networking
Yet even as AI becomes foundational, its effectiveness ultimately depends on the quality and accessibility of network data.
“The biggest bottleneck isn’t the technology itself, but the data. Operators are drowning in information but struggling to access and integrate it. The real opportunity lies in unlocking the value within that data,” said Tim Kittel, Product Manager at ipoque.
Technologies such as deep packet inspection (DPI) and advanced network traffic analytics play a critical role here by transforming raw network traffic into structured, high-quality data that AI systems can reliably use. Unlock Gen AI`s capabilities with DPI-driven traffic insights.
5G is mature — and now must pay off
Another clear message at MWC 2026 was that the industry is entering a more pragmatic stage of the 5G journey. The focus has shifted from large-scale deployment announcements to a more pressing question: how can operators turn their 5G investments into sustainable revenue?
5G Standalone (SA) is widely seen as the foundation for enabling advanced enterprise services such as:
- predictable QoS for enterprise services
- network slicing
- ultra-low-latency industrial applications
- mission-critical connectivity
5G-Advanced was positioned as the next evolutionary step that will enhance performance, automation and efficiency while paving the path toward future 6G technologies. At the same time, private 5G networks are finally moving beyond pilot phases. Real deployments in manufacturing, logistics and campus environments show growing maturity in this segment.
However, monetizing these services requires deep insights into network behavior and application traffic. Operators must understand how services perform, how capacity is used and how quality can be guaranteed across increasingly complex infrastructures.
Advanced traffic analytics and application identification technologies help operators gain this visibility. By analyzing network traffic in real time, they enable service performance monitoring, QoS enforcement and data-driven optimization of network resources. Discover how to capture new opportunities using DPI.
Satellite, cloud and disaggregation redefine the infrastructure stack
Satellite connectivity was far more prominent at MWC this year, driven by rapidly expanding low-earth-orbit (LEO) constellations and the need to extend connectivity into remote or underserved areas. These developments are strengthening the convergence between terrestrial and non-terrestrial networks, particularly for IoT, maritime connectivity and emergency communications.
At the same time, telecom infrastructures are becoming increasingly disaggregated and cloud-driven. Operators are investing in:
- cloud-native network functions
- open interfaces and Open RAN architectures
- multi-vendor interoperability
- partnerships with major cloud providers such as AWS, Microsoft Azure and Google Cloud
While these architectures accelerate innovation, they also introduce additional complexity. Traffic flows across distributed environments, multiple vendors and diverse encryption mechanisms.
Maintaining network visibility across these layers is therefore becoming a central challenge for operators. Technologies such as deep packet inspection and advanced traffic classification help restore this visibility by identifying applications and traffic patterns across heterogeneous and distributed network environments. They also help normalize and integrate network data from multiple sources, enabling operators to build a consistent and actionable view of network activity across increasingly complex infrastructures.
What operators told us about visibility, encryption and cost pressure
Conversations with operators and telecom partners revealed several recurring challenges.
In Europe especially, cost optimization dominated discussions. After years of heavy investment in 5G infrastructure, operators are under pressure to control operational expenditure while maintaining service quality.
Three issues came up repeatedly:
- rapidly growing traffic volumes from video, IoT and enterprise services
- increasing network complexity across hybrid and multi-vendor environments
- limited visibility caused by the growing share of encrypted traffic
Encrypted traffic in particular was a major concern. Many discussions centered on questions such as:
- How can operators classify traffic when payload data is encrypted?
- How can threats be detected inside encrypted streams?
- Can network analytics keep up with massive 5G traffic volumes in real time?
- How can QoS policies be enforced when applications are no longer visible?
Technologies such as encrypted traffic intelligence (ETI) are becoming increasingly relevant here. By analyzing traffic patterns, metadata and flow characteristics rather than decrypting content, these approaches help restore visibility while preserving user privacy. Unlock network security insights with our whitepaper on encryption and DPI technology.
Digital sovereignty, security and resilience move to the forefront
For European operators in particular, digital sovereignty and cyber resilience are becoming strategic priorities.
Regulatory requirements are driving greater focus on local data processing, supply chain transparency and secure-by-design network architectures. Security is therefore moving earlier into the planning and design phases of telecom infrastructure.
Concepts such as zero-trust networking, continuous traffic monitoring and early anomaly detection are gaining traction across both public and private networks.
These developments also reinforce the importance of high-quality network intelligence. Detailed insights into traffic patterns and application behavior allow operators and security teams to detect anomalies early and maintain control over increasingly complex infrastructures. Solutions such as R&S®Probe Observer provide high-performance network traffic analytics and real-time visibility into IP network traffic — even in highly encrypted environments — helping operators build secure, resilient and future-ready digital infrastructures.
Key takeaways from MWC 2026
Three insights stood out across conversations, presentations and technology showcases:
- AI is moving from hype to operational reality — but only data-driven networks will benefit.
- Visibility into encrypted traffic is becoming essential for performance, security and QoE.
- Operators must turn their 5G investments into revenue while keeping costs under control.
For the telecom industry, this means that the intelligence layer of the network is becoming one of its most valuable components. MWC 2026 showed that the next phase of telecom innovation will not be defined by new radio technologies alone, but by how effectively operators can understand, analyze and optimize their networks.
Ready to explore network intelligence in more detail?
If you would like to dive deeper into these topics, our experts at ipoque are happy to continue the conversation and discuss how network intelligence technologies can support your strategy.
