Huawei Cloud Review and Global Sales Partner Policies for 2026

Huawei Cloud is the cloud computing platform of Huawei Technologies Co. Ltd., offering a comprehensive suite of cloud services and solutions for enterprises and individual consumers.  It’s ranked as the second-largest cloud service provider in China by market share, consistently placing behind the market leader, Alibaba Cloud.

Huawei Cloud provides a full range of services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), supporting public, private, and hybrid cloud architectures.  Cloud services include: 

  • Compute Services such as Elastic Cloud Servers (ECS), Bare Metal Servers (BMS), and container management via the Cloud Container Engine (CCE).
  • Storage and Data Management Offerings include Object Storage Service (OBS), Elastic Volume Service (EVS), backup and disaster recovery solutions, and a range of database options like GaussDB and RDS for MySQL.
  • Networking Services cover Virtual Private Cloud (VPC), Elastic IP (EIP), load balancing, and content delivery networks (CDN) to ensure fast and reliable connectivity.
  • AI and Analytics This is a key focus area, featuring AI development platforms like ModelArts, pre-trained Pangu models, big data analytics services (MapReduce Service, Data Warehouse Service), and various AI-powered solutions for specific industries.
  • Security and Compliance The platform offers robust security measures including firewalls, anti-DDoS services, data encryption, identity and access management (IAM), and comprehensive security operations centers.
  • Developer and Management Tools A variety of tools for application development, operations management (O&M), migration, and governance. 
Li Shi, President of Huawei Cloud Computing Global Sales, provided a review of the company’s progress over the past year, highlighting the collaborative growth of Huawei Cloud and its partners. In 2025, Huawei Cloud’s partner business achieved a growth rate exceeding 50%. The company has reported continued expansion in its partner network and increased depth in collaborations. 

Currently, Huawei Cloud’s international partner ecosystem includes over 40 global distributors and 50 core/premier cloud solution providers outside of China. The broader ecosystem comprises more than 4,000 global partners and serves hundreds of thousands of paying customers. Committed to enhancing partner companies experience through improved trust, profitability, simplicity, and growth opportunities, Huawei Cloud has refined its customer account classification system and clarified the roles of both Huawei and its partners. The company aims to maintain ecosystem stability and support partner success via a structured approach involving incentives, benefits, and established regulations. 

Charles Yang, Huawei Senior Vice President, highlighted that the intelligent era presents immense opportunities and challenges for Huawei Cloud and its partners.

……………………………………………………………………………………………………………………………………………………………………………

Huawei Cloud is reinforcing its commitment to rewarding partners by implementing a comprehensive upgrade to its partner incentive framework this year. This enhanced framework provides support across four key areas designed to foster holistic partner growth: 
  • Global Visibility: Amplifying partner visibility through Huawei Cloud’s international media channels.
  • Brand Enhancement: Assisting partners in improving their brand image using established global communication benchmarks.
  • Enhanced Benefits: Upgrading partner benefits, including an increased Market Development Fund and comprehensive promotional support.
  • Collaborative Marketing: Inviting partners to participate in Huawei Cloud’s own global marketing initiatives. 
Furthermore, Huawei Cloud will strengthen partner enablement through a tailored education system addressing various professional roles, from high-level strategic insights to practical sales techniques: 
  • Executive Level (CXO): Facilitating strategic exchanges on industry trends, digital transformation, and AI strategy to ensure vision alignment.
  • Core Teams: Offering courses focused on business operations, industry analysis, and growth strategies.
  • Sales and Technical Roles (BDs, SAs, CSMs): Providing hands-on training, including sales simulations and technical workshops, to enhance practical expertise.

References:

https://thetimes.com.au/news/press-releases?rkey=20260123AE69710&filter=24774

 

Blue Origin announces TeraWave – satellite internet rival for Starlink and Amazon Leo

The BBC reports that Jeff Bezos owned Blue Origin plans to create a new communications network called TeraWave, launching more than 5,400 satellites to offer global internet coverage.  TeraWave will be focused on data centers, businesses and governments.

In a satellite internet market dominated by Elon Musk’s Starlink, Blue Origin would still have fewer satellites in orbit than Starlink.  Yet TeraWave’s network at maximum speed would allow upload and download speeds of up to 6 terabits per second, much faster than rival commercial satellite offerings. The satellites are set to start launching by the end of 2027.

In April, Blue Origin launched an 11-minute space flight with an all-female crew, including Bezos’ now-wife Lauren Sánchez, singer Katie Perry and CBS presenter Gayle King.  However, some commentators said it was “tone deaf” for celebrities to be taking part in such a fleeting and expensive trip at a time of economic struggle.

Blue Origin says TeraWave will be focused on data centers, businesses and governments. Blue Origin said its network, at its fastest, would allow upload and download speeds of as much as 6 terabits per second, much faster than rival commercial satellite services currently offer.

TeraWave is Optimized for Enterprise, Data Center, & Government Customers

Comparison table of TeraWave and Current LEO Constellations showing differences in download and upload speeds, bandwidth type, coverage, and max customers served.
Top Competitors:
  1. Starlink – part of Musk’s rocket firm SpaceX (which is 40% owned by Elon Musk) is by far the #1 satellite internet and phone service provider, primarily to individual customers.
  2. Blue Origin’s TeraWave satellite network will also compete with Amazon Leo, but they are targeting different market segments despite both being backed by Jeff Bezos.  While it currently has around 180 satellites in orbit, having launched dozens more just last week, it plans to have more than 3,000 in orbit.  Like Starlink, Amazon is also more focused on the general public than businesses and governments, positioning Leo as a way to offer high-speed internet access globally. It has not said when all of the Leo satellites will be in orbit.
Key Differences:
Feature  Blue Origin TeraWave Amazon Leo (formerly Project Kuiper)
Target Market Enterprises, data centers, governments, and other high-capacity users. Consumers and communities in remote and underserved areas.
Service Goal Provide extremely high-speed, symmetrical, and redundant backbone connectivity. Deliver general high-speed broadband internet access (consumer speeds).
Projected Speeds Up to 6 terabits per second (Tbps) via optical links in MEO. Up to 1 gigabit per second (Gbps) for its highest-end user terminal.
Constellation Size Plan for 5,408 satellites (LEO and MEO). Plan for over 3,200 satellites (LEO only).

In November, Blue Origin successfully landed a rocket booster on a floating platform for the first time. Only SpaceX had previously accomplished that feat.

………………………………………………………………………………………………………………………………………………………………..

References:

https://www.blueorigin.com/news/blue-origin-introduces-terawave-space-based-network-for-global-connectivity

https://www.bbc.com/news/articles/cn0yydwe89jo

AST SpaceMobile to deliver U.S. nationwide LEO satellite services in 2026

FCC grants Amazon’s Kuiper license for NGSO satellite constellation for internet services

Amazon to Spend Billions on 38 Space Launches for Project Kuiper

Starlink doubles subscriber base; expands to to 42 new countries, territories & markets

China ITU filing to put ~200K satellites in low earth orbit while FCC authorizes 7.5K additional Starlink LEO satellites

Amazon Leo (formerly Project Kuiper) unveils satellite broadband for enterprises; Competitive analysis with Starlink

Amazon launches first Project Kuiper satellites in direct competition with SpaceX/Starlink

NBN selects Amazon Project Kuiper over Starlink for LEO satellite internet service in Australia

Elon Musk: Starlink could become a global mobile carrier; 2 year timeframe for new smartphones

GEO satellite internet from HughesNet and Viasat can’t compete with LEO Starlink in speed or latency

Ericsson announces capability for 5G Advanced location based services in Q1-2026

Ericsson’s 5G Advanced location based services (LBS) offering is a comprehensive suite of innovations designed to redefine location-based services across commercial 5G Standalone (SA) networks. Set for release in Q1 2026, it makes Ericsson the leader in 5G positioning technology, offering a scalable and fully integrated solution on top of Ericsson’s dual-mode 5G Core network.

By embedding positioning as a core 5G SA network capability, Ericsson 5G Advanced location services enables Communications Service Providers (CSPs) to monetize precise location services and expand beyond traditional mobile offerings into verticals such as manufacturing, healthcare, public safety, automotive, drones, and more.

Key benefits:

  • High Accuracy: Down to sub-meter for indoor and sub-10 cm for outdoor positioning, enabling precise tracking
  • Scalability: Scalable, precise positioning for outdoor applications (automotive, agriculture, drones)
  • Seamless Indoor/Outdoor Coverage: Unified 5G positioning technology for both environments.
  • Developer & Device Friendliness: No need for device-side apps; improved battery life compared to satellite-based solutions
  • Support for Large-Scale Use Cases: Enables massive geofencing, population density analysis, and tracking use cases.

Monica Zethzon, Head of Core Networks, Ericsson, says: “With the launch of 5G Advanced Location Services we are evolving the value of 5G Standalone networks. This innovation gives CSPs the precision and scalability to create differentiated services based on location capabilities.”

Caroline Gabriel, Partner at Analysys Mason, says: “Ericsson’s integrated approach to indoor and outdoor positioning sets a new benchmark in the industry. It addresses critical pain points for operators and enterprises, particularly in sectors where location accuracy is mission-critical.”

The global market for 5G positioning is in its early stages but poised for rapid growth, driven by demand for enhanced precision in diverse sectors. Ericsson’s solution responds to this demand with scalable, developer-friendly capabilities that improve device battery life compared to legacy systems.

This launch further strengthens Ericsson’s location solutions based on Real-Time Kinematics technology, with related devices from Ericsson planned for Q1 2026.

Photo Credit: Ericsson

………………………………………………………………………………………………………………………………………………………….

3GPP’s 5G Advanced (starting with Release 18, finalized mid-2024) significantly enhances Location-Based Services (LBS) by integrating advanced positioning directly into the 5G SA core, aiming for centimeter-level accuracy indoors/outdoors, reducing power, and supporting new uses like RedCap, AR/VR, and drones, using techniques like bandwidth aggregation, carrier-phase, and AI/ML for better precision and energy efficiency, with further evolution in Release 19 and beyond. 
Key Enhancements in 5G Advanced (Rel-18 & Beyond):
  • Integrated Positioning: Positioning is built into the 5G Standalone (SA) architecture, moving beyond traditional GPS reliance.
  • High Accuracy & Efficiency: New techniques improve accuracy (e.g., bandwidth aggregation, carrier-phase measurements) and reduce power consumption for devices.
  • AI/ML Integration: Artificial Intelligence/Machine Learning is applied to enhance positioning accuracy, especially for challenging scenarios like beyond-visual-line-of-sight (BVLOS).
  • Support for New Devices/Apps: Enables precise tracking for wearables, industrial sensors (RedCap), augmented reality (AR), drone control, and smart grids.
  • Beyond-Line-of-Sight (BVLOS): Focus on reliable positioning for industrial and public safety applications where line-of-sight isn’t guaranteed.
  • Reduced Power: Solutions target lower power usage, crucial for IoT devices. 
Release Timeline & Focus:
  • Release 18 (5G Advanced Start): Finalized mid-2024, introduced major LBS enhancements, including RedCap positioning, bandwidth aggregation, and carrier-phase support.
  • Release 19 (Ongoing): Continues the evolution, extending LTM (L1/L2-triggered Mobility) and further exploring AI/ML for mobility and positioning.
  • Release 20 & Beyond: Will build on these foundations, further evolving towards 6G capabilities. 
In essence, 5G Advanced transforms LBS from a supplementary feature to a core network capability, offering precise, low-power, and versatile location awareness for a vast range of new applications. 
…………………………………………………………………………………………………………………………………………….

References:

https://www.ericsson.com/en/press-releases/2026/1/5g-advanced-location-services

5G Advanced offers opportunities for new revenue streams; 3GPP specs for 5G FWA?

What is 5G Advanced and is it ready for deployment any time soon?

Hutchison Telecom is deploying 5G-Advanced in Hong Kong without 5G-A endpoints

China Mobile & ZTE use digital twin technology with 5G-Advanced on high-speed railway in China

Huawei pushes 5.5G (aka 5G Advanced) but there are no completed 3GPP specs or ITU-R standards!

ZTE and China Telecom unveil 5G-Advanced solution for B2B and B2C services

 

India 5G subscribers top 400 Million with rapid adoption continuing without 5Gi

With over 400 million 5G subscribers, India now ranks #2 globally (China is #1 [1.]). What’s even more remarkable is the speed of adoption after 5G spectrum auctions were repeatedly delayed.  Jyotiraditya Scindia, India’s union minister for communications and development of the North Eastern Region, said the country is “setting new global benchmarks in scale, speed and digital transformation.”

According to figures cited by the minister, the country’s 5G subscriber base now exceeds that of other major markets, including the United States with around 350 million users, the European Union with 200 million, and Japan with 190 million. China remains the global leader, with more than 1.2 billion 5G connections.

Note 1. China has over 1.2 billion 5G subscribers as of late 2025, representing over 60% of all mobile connections in the country, driven by massive infrastructure rollout and strong adoption across major operators like China Mobile, China Telecom, and China Unicom, making it the global leader in 5G penetration. 

……………………………………………………………………………………………………………………………………………………………………………………………………..

India initiated its commercial 5G deployments in October 2022 by network operators like Reliance Jio and Bharti Airtel, rapidly expanded from key metro areas to nationwide coverage, with over 518,000 5G Base Transceiver Stations (BTS) deployed by late 2025, supporting substantial user adoption, while BSNL plans its domestic stack-based 5G launch, and Vodafone Idea followed with a 2025 rollout. 
Market Penetration and Operator Status:
Bharti Airtel and Reliance Jio Infocomm spearheaded the launch, becoming the first carriers to operationalize 5G networks and achieving significant subscriber acquisition, with each surpassing the 50 million user milestone within their initial year of service [1]. Vodafone Idea subsequently entered the 5G market with launches in specific cities during 2025.
Public Sector Development:
State-owned telecom provider BSNL is projected to launch 5G services within the current year [1]. This deployment is slated to exclusively utilize India’s indigenously developed telecom technology stack, a collaborative effort involving the Centre for Development of Telematics (C-DOT), Tejas Networks, and Tata Consultancy Services (TCS).
Infrastructure Metrics:
As of the close of 2025, the national 5G infrastructure comprised 518,854 operational base stations, marking a substantial increase from approximately 464,990 recorded at the start of the year [1]. The Department of Telecommunications (DoT) reported the deployment of 4,112 new 5G base transceiver stations (BTS) in December 2025 alone, contributing to the year-end cumulative total

Key Developments:
Network Operator Momentum: Jio and Airtel led the initial wave, achieving rapid user acquisition and infrastructure build-out, leveraging both Standalone (SA) for Jio and Non-Standalone (NSA) architectures for Airtel.
  • Infrastructure Growth: Rapid BTS deployment, exceeding 4,100 new installations in December 2025 alone, demonstrates intense network densification, with coverage now reaching most districts.
  • Vodafone Idea’s Entry: Vi, after initial delays, commenced its phased 5G service introduction in select cities during 2025.
  • BSNL’s Indigenous Strategy: The state-owned operator is slated to launch 5G using India’s homegrown stack (C-DOT, Tejas, TCS), showcasing self-reliance in telecom technology.
  • Market Dynamics: The rapid expansion aims to unlock enterprise and consumer use cases, positioning India as a significant global 5G player, despite ongoing discussions about monetization and infrastructure investment.

Technical & Deployment Highlights:

  • Architecture: A mix of 5G SA (Jio) and 5G NSA (Airtel) is prevalent, with SA offering lower latency and true 5G capabilities.
  • Spectrum: Operators utilize various bands, including sub-6 GHz (3.3 GHz, 26 GHz) for broad coverage and capacity.
  • Deployment Pace: Driven by ministerial targets, operators installed BTS at an accelerated pace, focusing initially on high-revenue urban centers.
Impact: The extensive 5G network underpins digital transformation, smart city initiatives, and new IoT/AI applications, establishing India as a major force in global telecom.
…………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………
Author Expresses Regrets:

This author deeply regrets that the  Telecommunications Standards Development Society India (TSDSI)’s 5Gi RIT specification, included as part of the ITU-R M.2150 IMT 2020 RIT/SRIT standard, was not implemented in India.  On January 25, 2022, TSDSI told the Telecommunication Engineering Center (TEC) under the DoT not to proceed with the adoption of 5Gi as a national 5G standard. TSDSI added that it “does not intend to further update 5Gi specifications.”

………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………….

References:

https://www.linkedin.com/posts/sanjeev-keshri-898b34231_digitalindia-5g-indiaontherise-activity-7417474428550234112-RnOM/

India reaches 400 million 5G subscribers in three years

https://telecom.economictimes.indiatimes.com/news/dot-discards-plan-on-adoption-of-5gi-following-strong-opposition-from-telecom-companies/89172694

OpenSignal: real world 5G deployment in India, market status & what happened to 5Gi?

Nokia Executive: India to Have Fastest 5G Rollout in the World; 5Gi/LMLC Missing!

LightCounting & TÉRAL RESEARCH: India RAN market is buoyant with 5G rolling out at a fast pace

Nokia’s Bell Labs to use adapted 4G and 5G access technologies for Indian space missions

Reliance Jio in talks with Tesla to deploy private 5G network for the latter’s manufacturing plant in India

Communications Minister: India to be major telecom technology exporter in 3 years with its 4G/5G technology stack

India to set up 100 labs for developing 5G apps, business models and use-cases

Adani Group to launch private 5G network services in India this year

Adani Group planning to enter India’s long delayed 5G spectrum auction

At long last: India enters 5G era as carriers spend $ billions but don’t support 5Gi

5G in India to be launched in 2023; air traffic safety a concern; 5G for agricultural monitoring to be very useful

Bharti Airtel to launch 5G services in India this August; Reliance Jio to follow

5G Made in India: Bharti Airtel and Tata Group partner to implement 5G in India

India government wants “home-grown” 5G; BSNL and MTNL will emerge as healthy

5G in India dependent on fiber backhaul investments

Hindu businessline: Indian telcos deployed 33,000 5G base stations in 2022

 

Huawei’s Electric Vehicle Charging Technology & Top 10 Charging Trends

Huawei EV Charging Backgrounder –from Google Gemini:

Huawei is a major player in the electric vehicle (EV) charging infrastructure market, focusing primarily on developing and supplying ultra-fast, liquid-cooled charging solutions and related smart energy management systems. Their involvement includes manufacturing core charging hardware and developing software/AI for intelligent network management.
Key aspects of Huawei’s involvement in charging technology:
  • Ultra-Fast Charging Technology: Huawei’s flagship product is the FusionCharge system, which uses a fully liquid-cooled design to enable ultra-fast DC charging at high power levels, including up to 600 kW and even experimental 1.5 MW chargers. This technology is designed to add significant range (e.g., over 200 km in 5 minutes) and is compatible with most EV models.
  • Integrated Energy Solutions: A core part of their strategy is the integration of EV charging with renewable energy (photovoltaics or PV) and energy storage systems (ESS). This “PV+ESS+Charger” solution helps maximize green power consumption, reduces the impact of high-power charging on the main power grid, and allows for intelligent peak shaving to optimize operational costs.
  • Hardware and Components: Huawei designs and supplies key charging components, including power units, charging dispensers, and silicon carbide (SiC) chips that enhance efficiency and power density. Their modular designs allow for scalable power output and a service life of over 10 years.
  • Smart Network Management: Huawei provides platforms for smart charging network management that enable remote monitoring, data analysis, and intelligent power distribution among multiple vehicles at a single station. This intelligent power pooling improves efficiency and ensures optimal use of available power.
  • Innovation in Convenience: Huawei has showcased an experimental prototype of a robotic charging arm that can automatically locate and plug into a vehicle’s charging port, facilitating a seamless “self-charging” experience that would work well with autonomous vehicles.
  • Strategic Partnerships and Market Deployment: Huawei works with partners, including logistics companies and car manufacturers, to deploy its charging solutions across China and other markets. They are also involved in joint ventures for manufacturing EVs, such as with Chery under the Harmony Intelligent Mobility Alliance (HIMA).
  • Battery Technology Research: The company holds patents for advanced battery technology, including a solid-state battery with a high energy density, which could further revolutionize EV range and charging times if commercialized. 

………………………………………………………………………………………………………………………………………………………………………………….

Here are Huawei’s top 10 trends in charging systems for electric vehicles:

  1. From passenger vehicles to commercial vehicles, “high quality” has become a must for ultra-fast charging infrastructure, driving large-scale upgrade of legacy charging devices to meet the energy needs of different vehicle models. High-quality development will extend from “cities of ultra-fast charging” to “cities of megawatt charging” through unified planning, standards, supervision, and O&M, enabling industry partners to turn high quality into high returns.
  2. Ultra-fast-charging vehicle models, once premium necessities, will be embraced by everyone. The extensive application of third-generation power semiconductor materials and high-C-rate traction batteries will further increase the market share of ultra-fast-charging vehicles. Megawatt-charging commercial vehicles will dominate the market.
  3. Megawatt-Scale Logistics Electrification: “Fuel-to-electricity” conversion for viable business will rapidly expand Heavy Goods Vehicle (HGV) from limited, closed applications to widespread, all-scenario adoption. The cost reduction of traction batteries and the innovation of megawatt charging technologies will make megawatt-scale logistics electrification an unstoppable trend, bringing significant economic and social values.
  4. 100 Megawatt Scale Charging Stations: For electrified logistics, 100 MW-scale charging stations will become the essential infrastructure for high-throughput operations. Factors such as technical strengths, competitive electricity pricing, and scalable deployment will unlock powerful cluster effects and secure long-term, sustainable profitability for charging station investments.
  5. Security and Trustworthiness:  Compared with passenger vehicles, commercial vehicles require higher charging power and a greater proportion of energy storage system (ESS) capacity in charging stations. Therefore, security and trustworthiness will become fundamental requirements for charging networks. The comprehensive electrical safety protection architecture will seamlessly safeguard people, vehicles, and chargers, reinforced by a robust cybersecurity foundation.
  6. Liquid-cooled ultra-fast charging delivers superior heat dissipation and protection, enabling reliable performance across increasingly distributed charging scenarios. In contrast, conventional air-cooled systems struggle in demanding environments such as high heat, humidity, salt fog, and heavy dust. In the future, the liquid cooling technology will be applied in vehicles and chargers, enabling efficient megawatt charging and contributing to overall vehicle cost reduction.
  7. A DC-based ESS+charger system can effectively increase power capacity, helping customers quickly and cost-effectively deploy ultra-fast charging stations, even in locations with limited grid power. This system is ideal for upgrading legacy low-capacity stations, enabling ultra-fast charging stations to be rapidly repurposed or newly deployed with minimal grid power, and maximizing the capability to meet vehicle charging demands.
  8. Modular Station Construction: The station-level modular solution is built for engineering construction and device commissioning, adapting to a wide range of charging scenarios. Its low cost, rapid deployment, and easy relocation make it a flexible choice, while its durable design ensures long-term value and protection for investors.
  9. Campus Microgrid: The grid-forming PV+ESS system integrates the liquid-cooled ultra-fast charging technology, and can operate in on-grid or off-grid mode. This forms a one-stop “PV+ESS+charger+vehicle+network” solution that boosts power capacity, maximizes the use of green energy, and enhances revenue through time-of-use arbitrage.
  10. AI Empowerment: The intelligent evolution of charging networks will enable seamless collaboration across networks, stations, chargers, and vehicles. By breaking down digital silos, it will elevate the end-to-end charging experience for vehicle owners and enhance overall logistics and transportation efficiency.

Huawei says they will continue to work with partners to accelerate the rollout of seamless, high-quality ultra-fast charging networks, and capture opportunities of mobility electrification.

SOURCE Huawei Digital Power

………………………………………………………………………………………………………………………………………………………………………………………………………………

References:

https://www.prnewswire.com/apac/news-releases/jointly-charging-the-road-ahead–huawei-releases-top-10-trends-of-charging-network-industry-2026-302663360.html

https://interestingengineering.com/energy/china-huawei-worlds-first-100mw-charging

Agentic AI and the Future of Communications for Autonomous Vehicles (V2X)

Private 5G networks move to include automation, autonomous systems, edge computing & AI operations

Telecom operators investing in Agentic AI while Self Organizing Network AI market set for rapid growth

Arm Holdings unveils “Physical AI” business unit to focus on robotics and automotive

2025 Year End Review: Integration of Telecom and ICT; What to Expect in 2026

 

Fiber Optic Networks & Subsea Cable Systems as the foundation for AI and Cloud services

Introduction:

A foundational enabler of global AI infrastructure and cloud service expansion are the fiber-optic networks interconnecting data centers worldwide. These high-capacity optical systems form the invisible backbone of modern digital society, facilitating everything from real-time financial transactions and mission-critical enterprise traffic to defense systems, entertainment, and personal communications.  Access to cloud-based AI platforms—and the data-driven intelligence they deliver—depends on efficient, low-latency connectivity to data centers. As AI workloads proliferate across industries and continents, the unifying role of optical fiber becomes paramount, ensuring equitable global access to advanced digital capabilities.

A core prerequisite for scaling AI and cloud services is the mesh of high-capacity fiber-optic networks that interconnect data centers globally. These networks silently underpin digital society, carrying the data that powers financial markets, mission-critical enterprise applications, national security, entertainment platforms, and everyday human communication.

Cloud-based AI services only become meaningful when users, enterprises, and machines can reach them with low latency, high reliability, and predictable performance. In this context, the unifying role of fiber is increasingly strategic, as it determines who can participate in the AI economy and at what scale.

Subsea (fiber) cable systems as digital unifier:

The massive capacity and spectral efficiency of optical fiber have driven its deployment from access networks to backbone routes and across the world’s oceans. Today, more than 570 subsea cables carry over 99% of international traffic, effectively stitching together a single global fabric for AI and cloud connectivity.

New subsea systems highlight how infrastructure investments are closing regional gaps rather than just adding raw terabits: the Medusa submarine cable system will help narrow the digital divide between Europe and North Africa, the Bangladesh Private Cable System (BPCS) will establish the country’s first private subsea on-ramps to global cloud and AI ecosystems, and a new Jakarta–Singapore route by PT Solusi Sinergi Digital Tbk (Surge) is set to increase data center interconnectivity while expanding affordable broadband to tens of millions of Indonesians.

As multiple new subsea cable system build outs enter planning and deployment, global bandwidth growth is expected to remain strong, extending the reach of AI and cloud platforms to more geographies, users, and industries.

From PoPs to data centers:

The traffic matrix of the AI era looks very different from that of legacy telecom networks. Instead of primarily connecting PoPs, carrier hotels, and central offices, modern optical networks are being engineered around dense, high-capacity flows between data centers.

More than 11,000 data centers, including over one thousand hyperscale facilities, now form the core nodes of the global digital infrastructure, generating on the order of thousands of petabytes of WAN traffic daily. Subsea bandwidth demand is expected to grow at roughly 30% per year as AI and cloud services scale, placing new design pressure on how subsea and terrestrial backhaul networks are engineered end-to-end.

Unifying subsea and terrestrial backhaul:

This shift is driving a deliberate architectural pivot: instead of treating subsea and terrestrial backhaul as separate domains, leading operators and cloud providers are moving toward unified, end-to-end design philosophies. Traffic no longer “terminates” at a cable landing station or central office; it flows optically and logically from data center to data center across continents.

By optimizing subsea and terrestrial segments as a single system, operators can simplify their networks, reduce CapEx and OpEx, and unlock higher effective capacity. Approaches such as optical pass-through at cable landing sites reduce cost, footprint, and power, while spectrum expansion into C+L bands can deliver a twofold or greater increase in per-fiber capacity, significantly lowering the cost of backhauling subsea traffic to inland data centers.

An ever-increasing number of data centers powering AI services is driving significant bandwidth growth over subsea fiber optic cables. ​ Image Credit: Nokia

Unified optical platforms for the AI supercycle:

Realizing this vision at scale requires platforms that unify roles traditionally split across multiple, specialized systems. For Nokia’s customers, this means leveraging the 1830 Global Express (GX) compact modular portfolio as a single, DCI-optimized solution for transponders, open optical line systems (OLS), and submarine line terminal equipment (SLTE) across both subsea and terrestrial applications.

High-performance coherent transponders on the 1830 GX support 800 Gigabit Ethernet across trans-oceanic distances, using techniques such as Probabilistic Constellation Shaping, Nyquist filtering, and continuous baud rate tuning to push performance toward the Shannon limit. The integrated OLS delivers the full suite of SLTE capabilities, including ROADM-based wavelength switching and spectrum management, ASE or CW idler insertion, and optical channel monitoring, while C+L operation on terrestrial backhaul provides step-function increases in capacity per fiber and reduces the cost of leased backhaul infrastructure.

Photo Credit: Nokia​

Operational simplicity and resilience:

Beyond raw capacity, unified platforms enable operators to rationalize operations. Using a common hardware and software stack across subsea and terrestrial domains simplifies planning, training, sparing, deployment, and lifecycle management.

Capabilities such as constant-power ILAs for stable end-to-end DC-to-DC transport, integrated OTDR for proactive fiber monitoring and fault localization, and a rich set of optical protection schemes for service protection and restoration help operators build networks that are not only faster and denser, but also more resilient and easier to run.

What’s next: pluggables and sensing:

The industry is now entering a phase where innovation in optics is tightly coupled to AI and automation. At PTC 2026 in Honolulu, discussions will highlight how pluggable coherent optics and fiber sensing are being introduced into subsea environments to further collapse layers and enhance awareness.

ICE-X 800G coherent pluggables are already enabling 400G, 600G, and 800G per wavelength over regional subsea spans exceeding 4,000 km, and future advances in chromatic dispersion tolerance are expected to extend the thin transponder layer paradigm to trans-Atlantic routes. In parallel, operators are exploring fiber sensing, powered by machine learning and advanced coherent techniques, to transform existing fiber assets into distributed sensors capable of supporting security, integrity monitoring, and new data-driven services.

Connectivity for all:

“Advancing connectivity for the AI supercycle” is more than a tagline; it captures two simultaneous imperatives: scaling networks for performance, efficiency, and sustainability while extending those networks to every region and community.  As described herein, fiber optics connectivity is becoming the strategic control point for value creation in the age of large-scale AI.

Nokia’s Role in Subsea Fiber Optic Networks:

Nokia has invested for more than 15 years in helping subsea operators and their customers design, deploy, and operate end-to-end SLTE and terrestrial optical networks, backed by global services and multi-country program support. Following its unification with Infinera, Nokia has emerged as the number-two global vendor of subsea optical transport equipment, earning the confidence of a large majority of operators involved in the latest wave of Asia-Pacific subsea builds. These partnerships position Nokia to help the industry scale and unify networks for the AI supercycle—and to ensure that the benefits of AI-era connectivity reach as many people, countries, and enterprises as possible.

Nokia’s 1830 Global Express (GX) supports high-performance coherent transponders for transmission of high-speed data connections such as 800 Gigabit Ethernet (800GE) across trans-oceanic distances, leveraging features such as Probabilistic Constellation Shaping (PCS), Nyquist filtering and continuous baud rate adjustment to maximize optical reach and fiber capacity up to the Shannon Limit. The 1830 GX OLS supports all needed SLTE functions including ROADM-based wavelength switching and spectrum management, insertion of ASE spectrum or continuous-wave (CW) idler channels, and optical channel monitor.

……………………………………………………………………………………………………………………..

References:

https://www.nokia.com/blog/the-unifying-role-of-subsea-fiber-networks/

https://www.nokia.com/optical-networks/1830-global-express/

Subsea cable systems: the new high-capacity, high-resilience backbone of the AI-driven global network

FCC updates subsea cable regulations; repeals 98 “outdated” broadcast rules and regulations

Automating Fiber Testing in the Last Mile: An Experiment from the Field

 

Virtual RAN gets a boost from Samsung demo using Intel’s Grand Rapids/Xeon Series 6 SoC

Samsung is the fifth largest worldwide RAN equipment vendor, behind Huawei, Ericsson, Nokia and ZTE.  This week, the South Korean conglomerate claimed to have reached a virtual RAN (vRAN) milestone with the completion of a commercial phone call using Granite Rapids – Intel’s  Xeon 6700P-B SoC processor series. The call took place on the network of a large, undisclosed U.S. network operator, but apparently Verizon. Samsung said, “this builds upon the company’s previous achievement in 2024, when it completed the industry-first end-to-end call in a lab environment with Intel Xeon 6 SoC.”

Samsung’s cloud-native vRAN with Intel’s latest Xeon SoC ran on a single commercial off-the-shelf (COTS) server from Hewlett Packard Enterprise with a cloud platform from Wind River. This milestone, coming only a few months after the first wave of Intel Xeon 6 SoC was made commercially available, presents an innovative pathway for single-server vRAN deployments for next-generation networks.

The commercial readiness of vRAN technology promises to give network operators the ability to run RAN and AI workloads on fewer, more powerful servers. 

Samsung wrote: “As operators accelerate their transition to software-driven, flexible architectures while seeking more sustainable infrastructure, the ability to run RAN and AI workloads on fewer, more powerful servers becomes critical, On a single server of Samsung’s AI-powered vRAN with enhanced processors, operators can consolidate software-driven network elements such as mobile core, radio access, transport and security, which traditionally required multiple servers, significantly simplifying the management of complex site configuration.”  

Image Credit: Samsung

“This breakthrough represents a major leap forward in network virtualization and efficiency. It confirms the real-world readiness of this latest technology under live network conditions, demonstrating that single-server vRAN deployments can meet the stringent performance and reliability standards required by leading carriers,” said June Moon, Executive Vice President, Head of R&D, Networks Business at Samsung Electronics. “We are not only deploying more sustainable, cost-effective networks, but also laying the foundation to fully utilize AI capabilities more easily and prepare for 6G with our end-to-end software-driven network solutions.”

Samsung’s vRAN leverages the latest Intel Xeon 6 SoC with Intel Advanced Matrix Extensions (Intel AMX), Intel vRAN Boost and up to 72 cores, delivering significant improvements in AI processing, memory bandwidth and energy efficiency compared to the previous generation.

“With Intel Xeon 6 SoC, featuring higher core counts and built-in acceleration for AI and vRAN, operators get the compute foundation for AI native, future ready networks,” said Cristina Rodriguez, VP and GM, Network & Edge, Intel. “This collaborative achievement with Samsung, HPE and Wind River enables greater consolidation of RAN and AI workloads, lowering power and total cost while speeding innovation.”

Samsung has been leading the deployment of vRAN solutions with major network operators worldwide and has achieved many industry breakthroughs, including the industry’s first call on a commercial network and large-scale deployments utilizing Intel Xeon processors with Intel vRAN Boost. The company continues to push the boundaries of network virtualization, working closely with ecosystem partners like Intel to deliver solutions that help operators build networks that are more efficient and sustainable.

“This successful first call is an important milestone for the industry,” said Daryl Schoolar, Analyst and Director at Recon Analytics. “By demonstrating multiple network functions running on next-generation processing technology, Samsung is showing what future networks look like — more cloud-native, more scalable and significantly more efficient. This achievement moves the industry beyond theoretical performance gains and into practical, deployable innovation that operators around the world can leverage to modernize their networks, accelerate automation and better support AI-driven use cases.”

“With Samsung’s vRAN and Intel’s Xeon 6 SoC running on a single server, Samsung expects enhanced cost savings for operators,” said a Samsung spokesperson via email to Light Reading, when asked what cost impact Granite Rapids would have. “The ability to consolidate multiple network functions including RAN, core, transport and security onto a single, high-performance COTS server reduces hardware footprint, simplifies site design and lowers power consumption.”

Vodafone is one Samsung customer that now expects to benefit from the availability of Granite Rapids. In November, Paco Pignatelli, Vodafone’s head of open RAN, told Light Reading that the new Intel platform offers “much better capacity and efficiency” than its predecessors. That was several weeks after the telco had announced plans to deploy Samsung’s virtual RAN technology in Germany and other European markets, starting in 2026.

…………………………………………………………………………………………………………………………………….

vRAN Market Assessment:

Virtual RAN still accounts for a very small share of the entire market. In 2023, data from Omdia put its market share at just 3% of the total RAN market which generates If vRAN is considered as part of the subsector for baseband RAN, its share was about 10% that year, implying baseband represents about 30% of the total expenditure on RAN products.

Hardware still dominates the RAN equipment business, but there is a rapid shift toward Commercial Off-The-Shelf (COTS) servers, particularly those using Intel’s Xeon 6 processors. Regional Dominance: North America and Asia-Pacific are expected to remain the largest markets in 2026, together accounting for over 70% of global vRAN revenue

Analyst Insights by Leading Telecom Market Research Firms:
  • Dell’Oro Group:
    • 2026 Stability: Predicts overall RAN revenues will remain “mostly stable” in 2026, but identifies AI-RAN, Cloud RAN, and Open RAN as favorable growth segments within that flat topline.
    • Market Share: Expects vRAN to account for 5% to 10% of the total RAN market by 2026.
    • Private Wireless: Forecasts that private wireless campus network RAN revenue will surpass USD 1 billion in 2026.
  • Omdia:
    • Growth Surge: Anticipates a doubling of vRAN’s market share by 2028. Specifically, it expects Open vRAN to reach a 16% share of the total RAN market in 2026, up from 7% in 2022.
    • Automation Focus: Forecasts the Service Management and Orchestration (SMO) category to grow at a massive 99% CAGR through 2030 as operators align with O-RAN architectures.
  • Research and Markets:
    • Estimates the global Open RAN market size will reach between USD 5.0 billion and USD 10.0 billion by 2026, driven by aggressive greenfield deployments. 

…………………………………………………………………………………………………………………………

References:

https://news.samsung.com/global/samsung-achieves-another-industry-first-virtualized-ran-milestone-accelerating-ai-native-6g-ready-networks

https://www.lightreading.com/5g/intel-and-samsung-add-to-pressure-on-purpose-built-5g

vRAN market disappoints – just like OpenRAN and mobile 5G

RAN silicon rethink – from purpose built products & ASICs to general purpose processors or GPUs for vRAN & AI RAN

LightCounting: Open RAN/vRAN market is pausing and regrouping

Dell’Oro: Private 5G ecosystem is evolving; vRAN gaining momentum; skepticism increasing

Heavy Reading: How network operators will deploy Open RAN and cloud native vRAN

Comparing AI Native mode in 6G (IMT 2030) vs AI Overlay/Add-On status in 5G (IMT 2020)

Executive Summary:

AI integration in 6G specifications (3GPP) and standards (ITU-R IMT 2030) highlights a strategic shift in the telecom industry towards AI-native networks, with telecom industry heavyweights like Huawei, Samsung, Ericsson, and Nokia actively developing foundational technologies. Unlike 5G, where AI and machine learning were limited applications or add-on features over existing architecture, 6G will incorporate AI from the onset with an “AI native” approach where intelligence will allow the network to be smart, agile, and able to learn and adapt according to changing network dynamics.

This transformation is necessary because future 6G networks will be too complex for human operators to manage, requiring AI-empowered and learning-driven networks that can facilitate zero-touch network management through capabilities including learning, reasoning, and decision-making.

Key Developments and Analysis:
  • AI-Native Networks: The industry consensus is that 6G will be “AI-native,” meaning artificial intelligence will be built directly into the core functions of network control, resource management, and service orchestration. This moves AI from an optimization layer in 5G to an foundational element in 6G.

AI Native Image Courtesy of Ericsson

…………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………

  • Company Initiatives:
    • Huawei is focused on making AI a native element of the network architecture (AI-native 6G) rather than an overlay technology, integrating communication, sensing, computing, and intelligence. This vision, called “Connected Intelligence,” involves two aspects: AI for 6G (network automation) and 6G for AI (AI as a Service, AIaaS).  More in Huawei Research Areas below.
    • Samsung is a major proponent of AI-RAN (Radio Access Network) technology. The company hosted a summit in November 2025 to showcase working AI-RAN technology that autonomously optimizes network performance and is conducting joint research with SK Telecom (SKT) on AI-supported RAN. Samsung sees vRAN (virtualized RAN) as a key enabler for “AI-native, 6G-ready networks”.
    • Ericsson emphasizes the necessity of a strong 5G Standalone (5G SA) foundation for an AI future, using AI to manage and automate current networks in preparation for 6G’s demands. Ericsson is also integrating agentic AI into its platforms for more autonomous network management.
    • Nokia is deepening its AI push, licensing software to expand AI use in mobile networks and preparing for early field trials in 2026 by porting baseband software to platforms like NVIDIA’s, which opens the door for more advanced AI use cases.
  • Industry Analysis and Trends:
    • Standardization: 2026 is crucial as formal 6G specification work begins in earnest within 3GPP with Release 21. In WP5D, the IMT 2030 RIT/SRIT standardization work will commence at the February 2027 meeting with the final deadline for submissions at the February 2029 meeting.  More in the ITU-R WP5D section below. 
    • The AI-RAN Alliance is an industry initiative (not a traditional SDO) focused on accelerating real-world AI applications and integration within the RAN. It works alongside SDOs, providing industry insights and pushing for rapid validation and testing of AI-RAN technologies, with a specific focus on leveraging accelerated computing.
    • Automation and Efficiency: AI-native algorithms in 6G are expected to deliver extreme spectrum and energy efficiency, significantly reducing operational costs for telcos while improving reliability and performance.
    • Monetization Challenges: Despite the technological promise, analysts caution that 6G remains largely theoretical for now. Some operators are stalling on full 5G SA deployment, waiting to move to 6G-ready cores later in the decade, leading to concerns that 5G SA might become an “odd generation.”
    • Infrastructure Constraints: The physical demands of AI infrastructure, particularly energy consumption and construction timelines, are becoming operational realities that may bound the pace of AI growth in 2026, regardless of software advancements. 
    • ITU-R Working Party (WP) 5D is making AI a native and foundational element of the 6G (IMT-2030) system, rather than the “add-on” or “overlay” status it had in 5G (IMT 2020). This shift is being achieved through the definition of specific AI capabilities and requirements that future 6G technologies must inherently support. In particular:
  • Defining AI as a Core Capability: The Recommendation ITU-R M.2160 (“Framework and overall objectives of the future development of IMT for 2030 and Beyond”) officially defines “Artificial Intelligence and Communication” as one of the six major usage scenarios and an overarching design principle for IMT-2030.
  • Integrating AI into the Radio Interface: WP 5D is actively developing technical performance requirements (TPRs) and evaluation criteria for proposed 6G radio interface technologies (RITs) that inherently incorporate AI/Machine Learning (ML). This includes work on:
    • AI-enabled air interface design: This involves the physical layer, potentially moving towards AI-native physical (PHY) layers that can dynamically adapt waveforms and network parameters in real-time, rather than relying on predefined, static configurations.
    • AI-driven resource management: AI/ML algorithms will be crucial for real-time optimization of spectral and energy efficiency, managing complex traffic, and ensuring Quality of Service (QoS).
  • Enabling AI-Driven Services: The framework for IMT-2030 is designed to support the full lifecycle of AI components, from data collection and model training to deployment and performance monitoring, enabling new AI-driven services and applications directly within the network infrastructure.
  • Establishing a Formal Timeline: WP 5D has established a clear timeline for 6G standardization, with specific stages for vision, requirements, evaluation methodology, and specifications. This structured approach ensures that all proposed RITs/SRITs are evaluated against the new AI-native requirements, promoting global alignment and preventing AI from becoming a fragmented, proprietary solution.
    • Stage 1 (Vision): Completed in June 2023.
    • Stage 2 (Requirements & Evaluation): Targeted for completion in 2026.
    • Stage 3 (Specifications): Expected by the end of 2030.
6G, as envisioned in the ITU-R’s IMT-2030 framework, is being designed from the ground up as an “AI-native” system. 
  • Purpose: AI is integral to the entire network lifecycle, from initial design and deployment to autonomous operation and service creation.
  • Integration Level: Intelligence is embedded across all layers of the network stack, including the physical layer (air interface), control plane, and data plane.
  • Scope: AI enables core functionalities such as real-time self-optimization, self- healing capabilities, and dynamic resource allocation, rather than static, predefined configurations.
  • Outcome: The creation of a fully cognitive, self-managing, and highly adaptable “intelligence fabric” capable of supporting advanced use cases like real-time holographic communication, digital twins, and autonomous systems with ultra-low latency. 
Comparing AI as an overlay in 5G (IMT 2030) vs AI native mode in 6G (IMT 2030):
Feature  5G (IMT-2020) 6G (IMT-2030)
AI Role Optimization tool (overlay) Foundational and native element
Network Operation Manual configuration with AI assistance Autonomous and self-managing
Air Interface Human-designed with some ML optimization AI/ML-designed and managed
Complexity Management Relies on standard protocols Manages complexity through embedded AI/ML
Services Supported Enhanced mobile broadband, basic IoT Integrated AI & Communication, sensing, holographic comms

–>By embedding AI into the fundamental design principles and technical requirements of IMT-2030, ITU-R WP 5D is ensuring that 6G is an AI-native network capable of self-management, self-optimization, and supporting a vast ecosystem of AI applications, a significant shift from the supplementary role AI played in 5G. 

……………………………………………………………………………………………………………………………………………………………………………………………………………………………………………..
Huawei’s Research Areas and Activities:
  • Agentic-AI Core (A-Core): Huawei unveiled a blueprint for a 6G core network (which will be specified by 3GPP and NOT ITU) where services are managed by specialized AI agents using a large-scale network AI model called “NetGPT”. This allows the network to program, update, and execute its own control procedures automatically without human intervention, based on natural language instructions.
  • Network Architecture Redesign: Huawei proposes the NET4AI system architecture, a service-oriented design that moves beyond the 5G service-based architecture. It introduces a dedicated data plane (DP) to handle the massive volume of data generated by AI and sensing services, enabling flexible and efficient many-to-many data flow for distributed learning and inference.
  • Integrated Sensing and Communication (ISAC): A core pillar of Huawei’s 6G work is the native integration of sensing with communication. This allows the network to use radio waves for high-resolution sensing, localization, and imaging, creating a “digital twin” of the physical world. The large volume of data collected from sensing then serves as a source for AI model training and real-time environmental monitoring.
  • Distributed Machine Learning: Huawei researches deep-edge architecture to enable massive, distributed, and collaborative machine learning (ML). This includes the development of frameworks like a two-level learning architecture that combines federated learning (FL) and split learning (SL) to optimize computing resources and ensure data privacy by keeping raw data local to devices.
  • AI as a Service (AIaaS): The 6G network is designed to provide AI capabilities as a service, allowing the training and inference of large AI models to be distributed across the network (edge and cloud). This offers low-latency performance and access to rich data for AI-driven applications like collaborative robotics and autonomous driving.
  • Energy Efficiency and Sustainability: The company is researching how native AI capabilities can improve overall energy efficiency by up to 100 times compared to 5G. This involves smart energy control, dynamic resource scaling, and optimizing communication paths for lower power consumption.
  • Standardization and White Papers: Huawei is actively contributing to global 6G discussions and standardization bodies like the ITU-R, sharing its vision through publications such as the book 6G: The Next Horizon – From Connected People and Things to Connected Intelligence and various technical white papers. The goal is to define the technical specifications and use cases for 6G that will drive industry-wide innovation by around 2030. 
In summary, the telecom industry is laying the critical groundwork for an AI-native 6G era through research, standard setting, and strategic investments in AI-powered network solutions, even as commercial deployment remains several years away. Decisions must be made on spectrum use (especially in the FR3 range of 7-24 GHz), silicon roadmaps, and network architectures which will have lasting impact.
………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………..

References:

https://www.ericsson.com/en/reports-and-papers/white-papers/ai-native

Roles of 3GPP and ITU-R WP 5D in the IMT 2030/6G standards process

AI wireless and fiber optic network technologies; IMT 2030 “native AI” concept

ITU-R WP5D IMT 2030 Submission & Evaluation Guidelines vs 6G specs in 3GPP Release 20 & 21

ITU-R WP 5D Timeline for submission, evaluation process & consensus building for IMT-2030 (6G) RITs/SRITs

ITU-R WP 5D reports on: IMT-2030 (“6G”) Minimum Technology Performance Requirements; Evaluation Criteria & Methodology

AI wireless and fiber optic network technologies; IMT 2030 “native AI” concept

Highlights of 3GPP Stage 1 Workshop on IMT 2030 (6G) Use Cases

Should Peak Data Rates be specified for 5G (IMT 2020) and 6G (IMT 2030) networks?

GSMA Vision 2040 study identifies spectrum needs during the peak 6G era of 2035–2040

Highlights and Summary of the 2025 Brooklyn 6G Summit

NGMN: 6G Key Messages from a network operator point of view

Nokia and Rohde & Schwarz collaborate on AI-powered 6G receiver years before IMT 2030 RIT submissions to ITU-R WP5D

Verizon’s 6G Innovation Forum joins a crowded list of 6G efforts that may conflict with 3GPP and ITU-R IMT-2030 work

Nokia Bell Labs and KDDI Research partner for 6G energy efficiency and network resiliency

Deutsche Telekom: successful completion of the 6G-TakeOff project with “3D networks”

Market research firms Omdia and Dell’Oro: impact of 6G and AI investments on telcos

Qualcomm CEO: expect “pre-commercial” 6G devices by 2028

Ericsson and e& (UAE) sign MoU for 6G collaboration vs ITU-R IMT-2030 framework

KT and LG Electronics to cooperate on 6G technologies and standards, especially full-duplex communications

Highlights of Nokia’s Smart Factory in Oulu, Finland for 5G and 6G innovation

Nokia sees new types of 6G connected devices facilitated by a “3 layer technology stack”

Rakuten Symphony exec: “5G is a failure; breaking the bank; to the extent 6G may not be affordable”

India’s TRAI releases Recommendations on use of Tera Hertz Spectrum for 6G

New ITU report in progress: Technical feasibility of IMT in bands above 100 GHz (92 GHz and 400 GHz)

 

Dell’Oro: Fixed Wireless Access revenues +10% in 2025 & will continue to grow 10% annually through 2029

5G Fixed Wireless Access (FWA), along with Private 5G, have become quite popular despite not being one of the ITU-R use cases for IMT 2020 (5G).  According to a new report by the Dell’Oro Group, FWA is experiencing continued strong growth. The technology’s straightforward deployment and the increasing availability of 4G LTE and 5G Sub-6GHz networks are driving its adoption for both residential and enterprise connectivity.  Sub‑6 GHz 5G in particular combines wide‑area coverage with better indoor penetration and capacity, making it attractive for operators as a mass‑market broadband alternative to DSL and cable.
Preliminary projections indicate that total FWA revenues—encompassing RAN equipment, residential CPE, and enterprise router and gateway revenue—are poised to grow by 10% in 2025. This advancement is fueled by mobile operators expanding FWA service availability into new markets, aiming to capture subscribers currently using DSL and cable broadband services.
“In the US, we continue to see the largest mobile operators expand their availability of FWA services in both existing and new markets, especially as FWA service revenue has boosted overall earnings,” said Jeff Heynen, Vice President with the Dell’Oro Group. “Mobile operators in India, Southeast Asia, Europe, and the Middle East are taking a page from the US operators’ book and are quickly expanding their own FWA offerings, especially with the imminent threat of Starlink, Amazon, OneWeb, and other LEO satellite broadband providers,” added Heynen.

Additional highlights from the Fixed Wireless Access Infrastructure and CPE Advanced Research Report:

  • Total FWA subscriptions, which include residential, SMB, and large enterprises, are expected to grow steadily, surpassing 191 million by 2029.
  • 5G Sub-6GHz and mmWave units will dominate the global residential CPE market.

About the Report:

The Dell’Oro Group Fixed Wireless Access Infrastructure and CPE Report includes 5-year market forecasts for FWA CPE (Residential and Enterprise) and RAN infrastructure, segmented by technology, including 802.11/Other, 4G LTE, CBRS, 5G sub-6GHz, 5G mmWave, and 60GHz technologies. The report also includes regional forecasts for FWA subscriptions, including for both residential and enterprise markets, with the enterprise subscriptions segmented by SMB and Large Enterprise. To purchase this report, please contact us by email at [email protected].

………………………………………………………………………………………………………………………………………………………………………

Independent Analysis via Perplexity.ai:

Fixed Wireless Access Schematic Diagrams

……………………………………………………………………………………………………………………………………………………………

Demand-side drivers:

  • Rising demand for high‑speed home and enterprise broadband, including video streaming, gaming, and cloud/SaaS, in areas poorly served by DSL or legacy cable.

  • Customer appetite for quick‑install, no‑truck‑roll broadband that can be activated using wireless CPE instead of waiting for fiber construction.

  • Growing need for reliable connectivity for remote work, distance learning, and SME digitization, especially in suburban and rural regions.

Supply-side / operator economics:

  • Ability to leverage existing 4G LTE macro grids and sub‑6 GHz spectrum, with incremental capex mainly in CPE and software rather than full new access builds.

  • Refarming of LTE spectrum and overlay of 5G NR on the same bands allows operators to run both mobile broadband and FWA on a common RAN/core.

  • Attractive ROI relative to fiber in low‑density areas, since one macro site at sub‑6 GHz can cover large rural or ex‑urban footprints.

Technology and spectrum factors (4G & sub‑6 GHz 5G):

  • 4G LTE coverage ubiquity: years of investment mean LTE already reaches most urban, suburban, and many rural markets, making LTE‑FWA immediately deployable.

  • Sub‑6 GHz 5G propagation: better penetration through buildings and walls than higher bands, enabling more reliable indoor FWA without extensive outdoor CPE alignment.

  • Massive MIMO and beamforming on sub‑6 GHz bands increase sector capacity and improve non‑line‑of‑sight performance, which is critical for FWA quality at cell edge.

Competitive and regulatory drivers:

  • Mobile operators using FWA to attack cable and DSL bases; in several markets FWA contributes a high share of net broadband additions, pressuring incumbents on price and speed.

  • Government rural‑broadband programs and subsidies (e.g., U.S. RDOF‑type initiatives) encourage use of FWA as a cost‑effective tool to close the digital divide.

  • Regulatory allocation of additional mid‑band and sub‑6 GHz spectrum (e.g., 3–4 GHz bands) increases usable capacity and supports scaling FWA to millions of homes.

Market growth indicators:

  • FWA market value is growing at double‑digit CAGRs, with 4G still a large share today but 5G FWA projected to dominate new subscriptions by the late 2020s.

  • Sub‑6 GHz FWA gateways and CPE are a rapidly expanding device segment, driven by operator deployments targeting residential and SME broadband.

…………………………………………………………………………………………………………………………………………………………………….

References:

https://www.delloro.com/news/fwa-infrastructure-and-cpe-spending-will-remain-above-10-billion-annually-through-2029/

Fiber and Fixed Wireless Access are the fastest growing fixed broadband technologies in the OECD

Ookla: FWA Speed Test Results for big 3 U.S. Carriers & Wireless Connectivity Performance at Busy Airports

Point Topic: Global Broadband Subscribers in Q2 2025: 5G FWA, DSL, satellite and FTTP

Aviat Networks and Intracom Telecom partner to deliver 5G mmWave FWA in North America

T-Mobile’s growth trajectory increases: 5G FWA, Metronet acquisition and MVNO deals with Charter & Comcast

Dell’Oro: 4G and 5G FWA revenue grew 7% in 2024; MRFR: FWA worth $182.27B by 2032

Latest Ericsson Mobility Report talks up 5G SA networks and FWA

Highlights of Qualcomm 5G Fixed Wireless Access Platform Gen 3; FWA and Cisco converged mobile core network

Ericsson: Over 300 million Fixed Wireless Access (FWA) connections by 2028

 

Page 1 of 236
1 2 3 236