OptOSS AI v.8.3.0 - Release
We are pleased to announce the release of OptOSS AI v8.3.0, packed with powerful new features and UI/UX improvements to help Telecoms stay proactive and efficient.
2025 is looking to be an exciting year for the telecom industry. Digital transformation continues to push network operators to rethink their strategies and adapt to new ways of serving their customers. In this article, we’ll discuss the trends we expect to see in 2025 and what they mean for network operators and consumers alike.
Beyond faster network speeds and enhanced connectivity, 5G promises to deliver new digital experiences—from ultra-high-definition video streaming and immersive VR/AR applications to low latency online gaming.
Private 5G networks will gain traction as companies deploy secure, customisable mobile infrastructures for IoT use cases. By enabling seamless communication between devices and systems, private 5G networks are set to help industries like manufacturing, logistics, and healthcare. In addition, smart cities benefit from 5G with use-cases like real-time traffic management, energy optimisation, and enhanced public safety. On the consumer front, the global rollout of 5G networks is accelerating, and by 2025, 5G is expected to become the dominant communication standard for smartphones worldwide. Telecoms can anticipate higher adoption rates and greater monetisation opportunities for their 5G services.
While 5G adoption continues, the groundwork for 6G is already being laid. Although the deployment of 6G networks isn’t expected until the 2030s, research and development is well on its way. Network operators and industry stakeholders are already exploring its functions & advantages, with an emphasis on network efficiency, sustainability, and support for highly monetisable enterprise use cases.
6G networks are expected to deliver ultra-low latency, higher throughput, and energy-efficient operations. 6G can offer data rates measured in Tera-bits per second with nano-second latencies. Use-cases like real-time, high-fidelity holographic (VR/AR) communication will be possible for remote collaboration, healthcare, and entertainment.
The increasing complexity/distribution of networks, coupled with the rise of cyber threats, positions cybersecurity as a top priority for telecom operators worldwide for 2025. With billions of connected devices and the ever-growing volume of sensitive data traversing communication networks, strong cybersecurity becomes imperative.
The frequency and sophistication of cyberattacks are escalating, targeting both the infrastructure and customers of telecom networks. From ransomware attacks to data breaches, the financial and reputational damage associated with cybersecurity failures is high. Regulatory bodies are also tightening requirements, pushing infrastructure operators to adopt robust data protection measures. Cybersecurity has become a necessity for operational resilience and customer trust.
Innovations like 5G,IoT, and edge computing bring new vulnerabilities:
Services such as proactive threat detection, incident response, and compliance monitoring can not only mitigate risks, but can also create new revenue generation opportunities. Looking ahead, quantum computing and AI are set to redefine the cybersecurity landscape. While quantum computing poses potential risks by rendering traditional encryption methods obsolete, it also offers opportunities for quantum-resistant algorithms. Meanwhile, AI-driven solutions are identifying and neutralising new threats.
With the rapid deployment of Low Earth Orbit (LEO) satellite networks, previously unconnected regions gain access to internet services.
LEO satellites (low earth orbit), orbiting at lower altitudes (500-2,000 km) than geostationary satellites (which have been predominantly used for satellite communication networks up to now), deliver reduced latency and higher data speeds. Leading initiatives like SpaceX’s Starlink, Amazon’s Project Kuiper, and OneWeb are expanding access to high-speed internet, driving costs down and making connectivity more accessible,making them ideal for reaching rural and remote areas.
LEO satellite networks are not positioned to replace traditional telecom infrastructure due to the more expensive bandwidth when compared to fiber, but to complement it. Telecom operators can partner with satellite companies to extend their service coverage, particularly in hard-to-reach areas. LEO satellites can provide backhaul connectivity to remote cell towers, enabling telecom operators to offer mobile services in areas where terrestrial connections are impractical. In the event of natural disasters or infrastructure failures, satellite networks can serve as a reliable fallback to maintain communication.
The telecom industry is undergoing a wave of consolidation as companies adapt to shifting market dynamics and strive to remain competitive. Mergers, acquisitions, and strategic partnerships are more prevalent, driven by the need to scale operations and optimise resources.
Consolidation in telecom is fueled by intensifying competition, as customers primarily care about price and stable connectivity . As 5G, IoT, and edge computing are introduced, smaller players struggle to keep pace due to the required capital investments, making mergers with larger entities a practical solution.
By pooling resources, companies can enhance network coverage and exploit economies of scale for operational and administrative activities.
In 2025, AI will continue to make the industry smarter, more efficient, and more customer-centric. As AI technologies are embedded across all layers of telecom operations, they are reshaping how networks are managed and optimised.
According to research by SAS and Coleman Parkes, 70% of telecom operators are already using AI, significantly outpacing the 54% cross-industry average. 29% of operators are either actively deploying or planning enterprise-wide AI adoption, while 89% plan to invest further in 2025.
AI is shifting network management from reactive troubleshooting to proactive monitoring. Automated network operations at Level 1 and Level 2 are streamlining issue resolution, reducing manual interventions, and accelerating response times. On the customer service front, AI-powered chatbots and service impact alerts are improving user engagement. Check out our previous article for an overview of use-cases and approaches for AI MTTR (Mean time to Resolve) improvement: Strategies for MTTR Reduction in Telecom Networks
OPT/NET empowers Network Operators to exploit AI in their network operations to move towards fully automated network operations with its AI-driven NetOps Platform, OptOSS AI. By integrating structured (metrics, indicators) and unstructured (logs, configuration data, customer complaints) data, OptOSS AI allows you to monitor and manage your network holistically.
With a modular AI architecture, OptOSS AI seamlessly operates across multi-service, multi-domain, and multi-vendor networks. Features like anomaly detection/clustering and Service Impact Attribution pinpoint which anomalies are affecting service performance, helping reduce Mean Time to Resolve (MTTR) and improve overall network resilience. Leveraging GenAI and on-premise LLM technology, OptOSS AI Advisor provides contextual insights, identifying root causes of network anomalies and recommending mitigation strategies for improved Assurance KPIs.
Contact us to learn more about how we can help you transform your network management or for any other inquiries!