Huawei, Ericsson & Nokia Face Telecoms Tech Shift
The telecommunications industry is navigating one of its most critical transitions in decades. Following years of high-intensity capital investment in 5G deployment, the momentum behind physical infrastructure build-outs is slowing.
As a result, industry leaders are now recalibrating their focus, shifting from equipment-heavy strategies to software-defined networks, automation and AI-powered efficiencies.
“It starts with a mindset shift: stop letting vendor timelines dictate your priorities. Instead, anchor every IT initiative to your organisation’s specific business objectives and the evolving realities of the market,” are words of advice from Rob LaMear, Founder of US Cloud.
At the core of the shift is the growing awareness that efficiency, adaptability and data-driven insight must underpin network investments.
The industry is no longer just about building towers and laying fibre. It’s about intelligently managing traffic, automating functions and maximising returns from existing assets.
Market headwinds and the capex paradox
The global telecom equipment market has entered a phase of contraction. In 2024, revenue from network equipment declined by approximately 11%, with 2025 expected to remain flat.
Major segments, including radio access networks (RAN), optical transport and core infrastructure, have been affected, with fixed broadband access being a rare exception where investment levels have remained steady.
Behind these figures lie deep geopolitical currents. Huawei, with a 31% global market share, continues to dominate, outpacing its Western counterparts, Nokia (14%) and Ericsson (13%).
However, the international figure obscures a divided market reality. In China and increasingly across Asia, Africa and parts of the Middle East, Huawei and ZTE retain strongholds.
In contrast, Western markets, particularly those in Europe and North America, have moved to curtail or eliminate Chinese technology from their networks on grounds of national security.
The fragmentation is compelling vendors to reconfigure their strategies. Ericsson and Nokia are repositioning as end-to-end 5G solution providers, bolstering their software capabilities and targeting high-growth enterprise opportunities such as private mobile networks.
Meanwhile, Huawei and ZTE are leveraging their domestic market scale to advance technologies such as 5G-Advanced and AI integration, exporting these innovations to receptive markets.
The efficiency imperative
Despite flat capital expenditure, demand for networks is expected to soar. Mobile data traffic is projected to more than double by 2030, driven by the increased adoption of 5G and a surge in connected devices.
Yet operators are facing what many are calling a “capex paradox.” The traditional model of addressing capacity issues through additional hardware is no longer financially viable as the sector continues to experience a decline in return on invested capital.
“Teams cannot depend solely on reducing costs; they must make intelligent, future-oriented investments.
"It involves selecting infrastructure that not only fulfils current requirements but scales effectively and avoids locking the organisation into inflexible licensing or vendor agreements.”
The pressure to optimise is fuelling the adoption of AI across all layers of telecom operations. From predictive maintenance and dynamic spectrum allocation to intelligent routing and customer experience management, AI is emerging as the linchpin of next-generation network efficiency.
“This is where AI shines,” says Peter Nearing, Principal Advisor at Stantec, commenting on AI’s role in infrastructure data management. AI-powered platforms are transforming how network data is collected, analysed and acted upon, allowing operators to preempt congestion, automate adjustments and respond rapidly to shifting demand.
Software, APIs and programmable networks
To adapt, telecom operators are investing heavily in software-defined networking (SDN) and network functions virtualisation (NFV). API-driven architectures are gaining traction, enabling networks to become more modular, flexible and programmable.
These changes are not just technical; they represent a strategic overhaul of how operators think about service delivery and monetisation.
In the new environment, value creation depends on a network’s ability to evolve quickly, intelligently and efficiently. As infrastructure spending plateaus and vendor dynamics grow more complex, the telecommunications sector’s survival will hinge on its ability to adapt to a software-first, AI-enabled future.
