Rising Demand and Competition in Algeria’s Mobile Sector

Algeria, the largest country in Africa, has a fast-growing telecommunications sector shaped by strong state involvement, a youthful and increasingly connected population, and rising demand for mobile internet. Despite regulatory complexities and infrastructure challenges, mobile operators are competing to improve coverage, increase speeds and launch innovative digital services.

The mobile market in Algeria is dominated by three major operators: Mobilis (ATM Mobilis), which is state-owned; Djezzy (Optimum Telecom Algeria), a privatised operator with majority state ownership; and Ooredoo Algeria, a subsidiary of the Qatari Ooredoo Group.

According to GSMA Intelligence, there were 54.8 million cellular mobile connections in Algeria at the start of 2025. It is common for individuals to use more than one mobile connection, often splitting usage between personal and professional needs. The growing use of eSIMs has made this even easier. Mobile connections in Algeria were equivalent to 116 percent of the total population in January 2025. This figure had risen by 3.0 million, or 5.8 percent, over the previous year.

Of these connections, 91.4 percent are classified as broadband, meaning they access the internet via 3G, 4G or 5G networks. However, broadband-capable devices do not always translate to mobile internet usage, as some plans may include only voice and SMS services.

Mobilis holds the largest share of Algeria’s mobile market at 43.7 percent. As the state-owned operator, it plays a central role in national connectivity. Mobilis launched GSM services in 2003 and was the first to introduce 4G LTE in 2016. With strong government backing, it focuses on reaching both urban centres and rural areas. The operator offers a full suite of services including prepaid and postpaid voice, SMS and data plans. It has invested heavily in network upgrades and has been preparing for 5G with successful trials and a commercial rollout expected later in 2025.

Recent tests have shown Mobilis achieving speeds of up to 1.2 Gbps with low latency, demonstrating its ability to meet global performance benchmarks. These trials featured use cases such as virtual tourism, cloud gaming and augmented reality experiences. Alongside its mobile efforts, Mobilis is also expanding its fibre-to-the-home (FTTH) offerings through partnerships with local microenterprises, supporting broader national digital inclusion goals.

Djezzy, established in 2001, commands a 30.84 percent market share. Known for its innovation and wide reach, Djezzy has played a major role in expanding Algeria’s 3G and 4G footprint. The operator offers a variety of competitively priced data plans, particularly attractive to value-conscious users. It has also been involved in 5G trials as it looks to modernise its network and stay ahead of evolving consumer demands.

Ooredoo Algeria holds a 25 percent market share but consistently ranks high on digital service quality. The latest Opensignal report highlighted Ooredoo’s strengths in download and upload speeds, network consistency and video experience. Its portfolio includes data-rich plans aimed at younger users as well as solutions for business customers. The company is actively preparing for 5G through partnerships with global technology providers.

Ooredoo is also participating in the Universal Telecommunication Service project, a government-led initiative to extend coverage to remote and underserved regions. As part of this programme, the operator is working to deploy more than 1,200 new sites across rural Algeria, delivering essential voice and data services to communities that were previously unconnected or poorly served.

The mobile landscape in Algeria remains highly competitive, with all three operators striving to enhance service quality and expand their networks. This competition has helped to keep prices attractive while driving continuous improvements in infrastructure and user experience.

Algeria’s mobile ecosystem is evolving rapidly. With growing demand for data, nationwide 4G expansion and the expected arrival of commercial 5G services, the market is set for further transformation. Government initiatives to promote digital inclusion and the operators' sustained investment in technology suggest a strong trajectory for mobile connectivity across the country.

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How AI Is Reshaping Network Operations at Deutsche Telekom

Michal Sewera, an experienced technology leader at Deutsche Telekom Group (generally written as TDG which stands for 'Telekom Deutschland GmbH'), recently offered a rare behind-the-scenes view of how AI is being used to manage and optimise telco cloud operations. As the head of TDG’s cloud-native 5G core DevOps team, he has led the shift to a new operating model built on cloud-native principles, automation and AI.

Presenting at the FutureNet World conference in London on 7–8 May 2025, Michal shared how TDG’s journey to cloud-native began with the realisation that cloud is not simply about virtualisation or containers. The real transformation lies in a fundamental change in architecture and operations. Moving to a GitOps operational model with declarative deployments and a concept of desired network state has allowed TDG to move from infrequent bulk updates to continuous, incremental changes. In this new approach, change is no longer an exception but an asset.

However, this shift comes with its own challenges. Cloud-native telco systems are composed of highly distributed microservices, open-source components and loosely coupled layers. This creates what Michal refers to as the butterfly effect, where even a small change can lead to unexpected consequences elsewhere in the system. Traditional approaches to validation, configuration and assurance are simply no longer sufficient.

To address this, TDG has integrated AI tools across all stages of the network lifecycle: development, rollout and operations. In the development phase, TDG uses an AI-based validation framework that collects data from across the application, platform and infrastructure layers. It analyses complex interdependencies using pattern recognition across 3GPP signalling, KPIs, logs, Kubernetes, CNIs and service mesh. This approach replaces traditional regression testing with intelligent analysis that highlights functional issues and pinpoints root causes early in the pipeline.

During rollout, the AI-powered Network Configuration Co-Pilot supports configuration changes across distributed clusters. The tool goes well beyond Git automation bots, using a mix of reusable configuration patterns, chat-based interaction with embedded vendor knowledge and natural language integration with systems like Kubernetes. This allows engineers to handle the massive complexity of telco configurations more efficiently and with greater confidence.

In live operations, TDG employs a combination of active and passive monitoring across its Platform as a Service layer. Probes and telemetry continuously monitor performance while AI-driven root cause analysis tools detect anomalies and correlate them with platform and network data. This enables early detection of degradation and supports predictive fault analysis. TDG also applies AI to canary testing and deployment. New releases are gradually introduced in production environments under close AI-assisted monitoring, allowing issues to be caught before full rollout. This model is a marked departure from the old reliance on staging environments and lab testing.

TDG’s new operational model, grounded in GitOps and driven by AI, offers a compelling example of how operators can adapt to the complexity and speed of change in cloud-native environments. The shift transforms telecom networks from silent, black-box systems into transparent, data-rich platforms where actionable insight can be extracted and acted upon in near real time.

Michal’s insights make clear that AI is not an optional add-on in this new environment. It is a fundamental enabler that allows the telco cloud to scale, evolve and remain resilient. For operators looking to modernise their networks, TDG’s experience offers valuable lessons in how to harness automation and intelligence to meet the demands of the future.

You can watch the full video of his talk below:

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