China
Huawei Chairman: Strategic Focus on AI Computing & Connectivity Infrastructure
Note: Perplexity.ai was use to research this article.
According to Chairman Guo Ping, Huawei aims to position itself as a full-stack provider of AI-era computing and connectivity infrastructure—effectively a Chinese counterpart to Nvidia in the infrastructure layer rather than in foundation-model development. In remarks posted to Huawei’s internal Xinsheng bulletin board, Guo told a group of new employees that the company’s strategic priority remains the advancement of its core connectivity and computing capabilities, rather than diversification into unrelated businesses. “There are no plans for business expansion,” he said, framing artificial intelligence (AI) as Huawei’s most significant strategic opportunity. Via Google Translate:
“Huawei’s core strategy is “focus”—specifically, deepening our expertise in the fields of connectivity and computing. We have no plans for business expansion. We aim to achieve even better results by providing digital infrastructure solutions to global customers, offering diverse solutions for the development of artificial intelligence, and contributing to the rise of China’s electronics industry. This is our vision for the future: to deepen our focus in our core areas and create greater value.”
Guo characterized AI as potentially humanity’s “last technology revolution,” arguing that Huawei must establish a durable competitive position in the sector. His comments suggest that Huawei sees its principal AI opportunity not in competing directly with hyperscalers and model developers on proprietary large language models (LLMs), but in supplying the underlying platforms on which a broad range of models can be trained, inferred, and deployed.
That strategy centers on Huawei’s Ascend AI processors and associated computing systems, together with Kunpeng general-purpose server platforms. The company’s objective is to provide an alternative AI infrastructure stack spanning processors, servers, networking, cloud platforms, and AI software tooling—capable, in Huawei’s view, of supporting diverse foundation models and enterprise AI workloads.
Image from Huawei
However, Guo indicated that Huawei does not regard AI model development as entirely optional. Its device and intelligent-automotive businesses will require domain-specific large models because open-source alternatives remain insufficient for certain proprietary, embedded, and safety-sensitive use cases. In addition, the increasing convergence of cloud infrastructure and AI services means Huawei Cloud must continue developing its own LLM capabilities to preserve platform competitiveness.
Strategic Implications:
The distinction is important. Huawei appears to be pursuing a layered AI strategy:
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Infrastructure first: Ascend AI accelerators, Kunpeng processors, AI servers, high-performance interconnects, storage, and data-center infrastructure form the company’s primary competitive focus.
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Models where strategically necessary: Huawei’s AI developed models (such as its enterprise Pangu LLM suite) are intended to support cloud services and vertical applications where open models do not meet performance, integration, security, or product-control requirements.
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Connectivity as a differentiator: Unlike Nvidia, Huawei can combine AI computing platforms with extensive capabilities in wireless RAN, core networks, IP transport, optical networking, enterprise networking, and cloud infrastructure.
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Domestic ecosystem resilience: The strategy also advances China’s effort to reduce dependency on U.S.-origin AI processors, software ecosystems, and advanced semiconductor supply chains.
For telecom operators, the relevant issue is whether Huawei can translate this integrated portfolio into credible AI-RAN, autonomous-network, edge-AI, and cloud-network offerings. The company’s position in radio access, transport, optical, and data-center infrastructure could give it an architectural advantage in deployments where AI workloads are tightly coupled with network telemetry, operational data, and real-time control loops.
Controversies, Constraints and Competition:
Guo’s remarks are more confirmatory than revelatory, but they provide an uncommon view of the company’s internal strategic framing. Huawei has substantially curtailed engagement with many foreign media and public-policy audiences, particularly as U.S. sanctions, export controls, and security restrictions have constrained its international operations.
The internal question-and-answer format also allows executives to articulate strategic priorities without directly addressing the numerous controversies facing the company, including the racketeering trial involving Huawei’s business with Iran that began in New York earlier this month.
Guo said Huawei would continue supplying digital infrastructure and AI solutions to customers in China and international markets. He ruled out expansion into satellite or launch-vehicle manufacturing and said the company does not intend to enter automobile manufacturing—consistent with Huawei’s previous position that it will provide intelligent-vehicle technology rather than build branded cars.
Huawei’s hardware production is heavily bottlenecked by U.S. sanctions (yield issues on advanced chips, SMIC node restrictions, and high-bandwidth memory shortages). On the prospect of additional sanctions or technology restrictions, Guo argued that China’s domestic market—home to roughly 1.4 billion people—provides Huawei with a sufficient base for long-term survival. But he also emphasized that the company’s aspirations extend beyond domestic demand: “Our concern is whether we are competitive compared to domestic and international competitors.”
AI infrastructure relies as much or even more on software than hardware. Huawei’s CANN software layer must compete with Nvidia’s CUDA, which makes AI developer adoption a tough uphill battle.
Analysis & Conclusions:
That will be the central test of Huawei’s AI strategy. Its ability to build a viable alternative to Nvidia-led AI infrastructure faces immediate supply-chain constraints under U.S. sanctions. There’s also the software challenge of driving developer adoption toward Huawei’s CANN architecture over Nvidia’s CUDA. Long-term viability will depend not only on Ascend AI silicon performance, but also. but also on software maturity, developer adoption, supply-chain scale, interconnect and memory performance, power efficiency, and the breadth of its ecosystem outside China.
Guo’s comments underline Huawei’s attempt to convert its established strengths in telecommunications, enterprise infrastructure, cloud, and silicon into an integrated AI platform strategy. The approach offers the company a potentially differentiated position in AI-enabled networks and cloud infrastructure, but its success will depend on whether the company’s Ascend AI silicon and the broader Huawei software ecosystem can achieve sufficient performance, scale, developer support, and supply-chain resilience to compete beyond China.
Achieving Huawei’s AI infrastructure aspirations faces severe headwinds, including ongoing U.S. chip sanctions that limit advanced node and memory production, as well as the steep challenge of driving developer migration from Nvidia’s CUDA to Huawei’s CANN ecosystem. Furthermore, while Huawei insists models are secondary, its domain-specific Pangu LLM suite will be critical to proving its cloud and enterprise viability.
“Large corporations have both strengths and weaknesses; to adapt to the future, a company must constantly evolve and reinvent itself,” Guo said. That will be Huawei’s formidable challenge in the age of AI.
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References:
https://xinsheng.huawei.com/next/detail/#/index?uuid=1316483709694681088
https://www.lightreading.com/ai-machine-learning/we-want-to-be-the-nvidia-of-ict-says-huawei-boss
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Key take-aways: “16th Smart City and Intelligent Economy Expo” for Huawei, Alibaba & China’s three state backed carriers
Disclaimer: Perplexity.ai was used to research this article and generate the table below.
The 16th Smart City and Intelligent Economy Expo was held from September 11 to 13, 2026 in Ningbo, China. It was heavily backed by Huawei and China’s three state-backed carriers: China Telecom, China Mobile, and China Unicom. It covered more than 30,000 square meters in five halls, included more than 380 enterprises and institutions, and ran over 20 associated activities.
China’s three state backed carriers actively demonstrated next-generation network connectivity and Edge-AI integration. A major focus was “Human-Machine Symbiosis,” showcasing how 5G/6G network architectures and localized intelligent computing hubs handle full-chain robotic applications across commercial retail and public service systems.
Under the theme “AI Transformation for a Brighter Future,” the three-day event featured more than 380 enterprises displaying industrial robotics, consumer AI technologies, and smart city infrastructure. The municipal government of Ningbo, Zhejiang’s Department of Economy and Information Technology, the China Academy of Information and Communications Technology (CAICT), the China Electronics Industry Federation, China Telecom, China Mobile, and China Unicom co-hosted the event.
A Few Highlights:
- Huawei presented its latest-generation AI inference server equipped with the 950DT processor;
- Alibaba Cloud displayed its five-layer full-stack architecture “chip-cloud-model-inference-application” for the agent era;
- Kingdee released the Lingji AI-native platform;
- China Telecom exhibited the Stellar Super Agent (TeleAgent), China Mobile showcased the AI multi-model aggregation platform MoMA and 6G space-air-ground communication achievements, and China Unicom presented the Forbidden City digital twin platform and other integrated scenarios.
- Domestic GPUs from Xiwang, high-bandwidth memory from Liji Storage, RF filters from Xingyao Semiconductor, and other core chips in critical technology areas were on display.
- The National Manufacturing Digital Transformation Promotion Center premieres the AI-empowered direct-drive high-end industrial machine tool system developed by Academician Tan Jianrong’s team. Multiple academicians all attended this event.
The telecommunications narrative centered on an evolution from conventional network supply to intelligent-service infrastructure—combining AI platforms, next-generation access and transport, cloud resources, and sector-specific applications.
Digging Deeper:
The show also featured Alibaba Cloud’s five-layer “chip-cloud-model-inference-application” architecture for the agent era. Taken together with Huawei’s inference hardware and the operator platforms, the expo’s implicit architecture was a localized, vertically integrated AI stack: domestic chips and memory at the bottom; distributed cloud and compute in the middle; foundation and domain models above that; and agents, robots, digital twins, industrial systems, and public-service applications at the top.markets.financialcontent
“Human-Machine Symbiosis” and robotics:
The most visible new exhibit was the inaugural “Human-Machine Symbiosis” area. Nearly 10 leading companies showcased the full robotics chain, including a physical exploded-view presentation of humanoid-robot components and more than 30 robots demonstrating use cases in commercial retail, public services, and other environments.markets.financialcontent
The significance is less the robot count than the framing. Rather than isolating humanoid robots as a hardware novelty, the expo connected them to:
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Component supply chains and embodied-AI systems.
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On-site operational use cases in retail and public-service environments.
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AI models and agent platforms.
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Industrial automation and multi-robot coordination.
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Communications and compute infrastructure capable of supporting distributed sensing, inference, command, and operations.
That linkage was strengthened by the new “Embodied Intelligence in Factories” section, which brought four working production lines into the exhibition venue. Junpu Intelligence showed a multi-robot collaborative precision-assembly line for battery-management systems. This shifts the conversation from humanoid-robot demonstrations toward production-grade orchestration: multiple machines, shared spatial awareness, task allocation, machine vision, industrial control, and quality processes.markets.financialcontent
Network and edge-AI implications:
The Ningbo event did not establish that commercial 6G is available today; rather, it used 6G achievements and space-air-ground concepts to signal the network requirements anticipated for AI-driven physical systems. For nearer-term deployment, the relevant foundations are 5G/5G-Advanced, private cellular, cloud-edge orchestration, AI-native core evolution, and localized inference.
The technical logic is straightforward:
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Robots need local response. Safety, manipulation, navigation, machine vision, and multi-robot collaboration can require low and predictable latency, so inference and control cannot always reside in a distant centralized cloud.
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Local compute hubs become operational nodes. Edge or on-premises AI infrastructure can host vision-language-action models, smaller specialized models, digital-twin data, real-time analytics, and orchestration functions close to factories, stores, campuses, or municipal sites.
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Networks must coordinate, not simply connect. A physical-AI application needs reliable device connectivity, traffic prioritization, security, device management, data transport, service exposure, and integration between local and centralized computing domains.
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The network itself becomes AI-enabled. Huawei has articulated a three-layer approach spanning network-element intelligence, network intelligence, and business intelligence. The stated objective includes better equipment efficiency, full-domain operations and maintenance, and agentic AI functions embedded into the core-network environment.
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Space-air-ground integration expands the operational domain. China Mobile’s 6G space-air-ground showcase aligns with a broader Chinese operator narrative around supporting drones, vehicles, remote assets, low-altitude networks, and eventually wider-area AI services. Huawei likewise links future AI-enabled services to 3GPP non-terrestrial-network integration, although this remains a developing standards and deployment agenda rather than a near-term replacement for terrestrial 5G infrastructure.
The event’s central significance is that China’s state-backed operators are increasingly presenting themselves as AI infrastructure companies with communications assets, rather than communications companies adding isolated AI features. This has several implications:
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Operators are moving up the stack. China Telecom’s agent and token-facing model, China Mobile’s multi-model platform, and China Unicom’s digital-twin applications all extend beyond access, transport, and traditional cloud resale.
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Embodied AI creates a new justification for edge networks. Robotics, industrial automation, public-service machines, and mixed physical/digital workflows can make distributed compute and managed connectivity commercially relevant in ways that generic enterprise AI has not always done.
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Domestic technology self-sufficiency is a material theme. The presence of domestic GPUs, high-bandwidth memory, RF filters, server platforms, and Chinese cloud/model providers shows that the event was as much about indigenous AI infrastructure as end-user applications.
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Smart-city deployment is becoming a proving ground. Retail, public services, manufacturing, digital twins, education, healthcare, mobility, and city operations offer live environments in which operators can bundle connectivity, AI, cloud, security, integration, and managed services.
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The most immediate opportunity is 5G-A plus edge AI, not 6G. The expo’s 6G language is strategic positioning. Deployable value over the next few years is more likely to come from 5G-Advanced/private wireless, cloud-edge compute, AI agents, computer vision, and integrated management platforms.
Conclusions:
More broadly, the Ningbo expo fits the national telecom-industry message visible at MWC Shanghai 2026: China Mobile, China Telecom, and China Unicom are already associating advanced mobile networks with humanoid robotics, drones, autonomous vehicles, and AI-enabled services. Huawei, meanwhile, is promoting AI-native network evolution and future 6G/NTN integration as the longer-horizon foundation for an “intelligent world.”
After 16 years of dedication to the digital intelligence track, the Smart City and Intelligent Economy Expo has become an important platform for showcasing city image and promoting industrial cooperation. Ningbo has fully implemented the “AI+” initiative, with the city’s digital economy added value exceeding one trillion yuan for the first time in 2025, reaching 1,059.15 billion yuan and accounting for 56.6% of GDP.
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References:
Analysis & Economic Implications of AI adoption in China
China vs U.S.: Race to Generate Power for AI Data Centers as Electricity Demand Soars
China’s open source AI models to capture a larger share of 2026 global AI market
China’s telecom industry rapid growth in 2025 eludes Nokia and Ericsson as sales collapse
China ITU filing to put ~200K satellites in low earth orbit while FCC authorizes 7.5K additional Starlink LEO satellites
China gaining on U.S. in AI technology arms race- silicon, models and research
U.S. export controls on Nvidia H20 AI chips enables Huawei’s 910C GPU to be favored by AI tech giants in China
China’s state owned telcos slash CAPEX to the lowest in decades!
Goldman Sachs: Big 3 China telecom operators are the biggest beneficiaries of China’s AI boom via DeepSeek models; China Mobile’s ‘AI+NETWORK’ strategy
Omdia: Huawei increases global RAN market share due to China hegemony
China Telecom’s 2025 priorities: cloud based AI smartphones (?), 5G new calling (GSMA), and satellite-to-phone services
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Analysis & Economic Implications of AI adoption in China
Executive Summary:
Visible signs of artificial intelligence adoption in China are everywhere. Consumers interact seamlessly with chatbots, livestream hosts promote algorithmically selected products, and recommendation engines exhibit an almost anticipatory understanding of user preferences. Yet, beyond these consumer-facing applications, a deeper and potentially more consequential transformation is unfolding. Across China’s retail and services sectors, AI is shifting from demand generation to cost optimization. Enterprises are deploying machine learning in logistics, inventory management, customer service, and fulfillment operations to reduce inefficiencies as revenue growth slows and pricing power tightens.
Highlights:
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Chinese companies are increasingly using AI to control operational costs and improve efficiency in a low-growth economic environment.
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AI is being deployed in logistics, inventory management, and customer service to reduce expenses rather than primarily drive demand.
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This shift towards AI for cost reduction is leading to steadier cash flow and improved operating margins for consumer companies.
China’s Consumer Sector: AI Powers Efficiency Over Growth:
As China’s economy adjusts to structural deceleration—marked by subdued household confidence, persistent real-estate overhang, and maturing market saturation—consumer companies face an unfamiliar imperative: prioritize resilience over expansion. With pricing power eroded and cost inflation persistent, traditional growth levers have lost potency. Leading platforms are responding by reorienting AI investments toward operational efficiency, transforming algorithms from engagement engines into margin-defense mechanisms. For investors, this evolution signals a new phase of earnings potential—one where incremental productivity gains could prove more durable than cyclical demand recovery.
“In a low-growth environment, incremental efficiency gains matter more than top-line expansion,” notes Zhao Ming, senior analyst for China internet companies at Hongyuan Capital. “AI has become a strategic lever for margin preservation.”
China’s consumer sector entered 2026 navigating familiar structural headwinds: cautious household sentiment, a fading property-wealth effect, and fierce price competition. Unlike in previous cycles, companies are finding it increasingly difficult to pass rising costs on to consumers. The result has been a strategic realignment. Where past growth phases emphasized volume and engagement, today’s market is rewarding operational discipline. That shift has sharpened the appeal of AI—not as a marketing showcase, but as a core instrument of productivity and cost control.
“In a slower-growth environment, leading Chinese consumer companies are using AI primarily to improve productivity and reduce operating costs rather than to drive incremental demand,” McKinsey said in a recent analysis of AI adoption across China’s retail and services sectors.
From Growth Catalyst to Cost Lever:
The center of gravity for AI investment has shifted from customer-facing innovation to operational optimization. E-commerce platforms and logistics operators have been among the earliest to integrate AI into mission-critical workflows. Demand-forecasting models are helping warehouses fine-tune inventory levels and reduce exposure to slow-moving goods. Routing algorithms are compressing last-mile delivery times and cutting fuel consumption. Automated customer-service systems are deflecting an ever-larger share of inquiries typically handled by human agents.
On their own, each of these applications may appear incremental. Taken together, they represent a meaningful improvement in margin resilience at a time when top-line expansion remains constrained. In an environment where minor percentage-point gains in efficiency can significantly affect earnings quality, AI is emerging as a quiet but potent differentiator.
Logistics as a Testbed for Scalable Efficiency:
The operational impact of AI is most visible in the logistics ecosystem, a sector that remains one of the largest cost centers in China’s consumer economy. Machine-learning systems are now proficient at forecasting order density by neighborhood and time of day, enabling fulfillment centers to position inventory closer to anticipated demand. In dense urban markets, adaptive algorithms continually adjust delivery routes in response to evolving conditions—from traffic and weather to cancellations and reorders—reducing both transit times and redundancy.
For investors, the value proposition is compelling: logistics efficiency scales. Once AI models are trained and stress-tested, they can be deployed across regions at low incremental cost, generating operating leverage even in periods of stagnant demand. Crucially, incumbents benefit from data scale. Years of transaction and delivery records translate into more accurate predictive models, reinforcing competitive moats and raising barriers to entry. This dynamic is reshaping industry structure even as consumer-facing platform features converge toward commoditization.
AI Extends Gains to Physical Retail:
Beyond e-commerce, brick-and-mortar retail—long considered a laggard in China’s digital transformation—is also seeing measurable efficiency dividends. Smart shelving, computer-vision inventory systems, and automated stock monitoring are cutting labor intensity while increasing inventory turnover. Grocery and convenience chains now rely on AI to optimize product assortments at the store level, calibrating selections to localized consumption patterns instead of applying national averages. The effect is twofold: reduced waste and fewer markdowns, both of which have historically weighed on profitability. The outcomes may not register as eye-catching innovation, but they align closely with investor priorities—stabler cash flows and predictable margins.
Labor Efficiency as a Strategic Imperative:
AI-enhanced customer service represents another underappreciated margin driver. Major consumer platforms report that routine customer interactions—order tracking, returns, product troubleshooting—are now predominantly handled through automated systems. This transition is particularly relevant in a labor market where wage growth continues to outpace consumption. Limiting headcount growth while maintaining response times and service quality has become a key operational goal.
“AI doesn’t replace customer service,” says Li Wenyuan, chief technology officer at retail software firm Qimeng Tech. “It filters it, so humans deal only with the expensive problems.” That filtering function is transforming customer operations from cost centers into scalable service platforms, balancing efficiency with user satisfaction.
Economic Implications:
For investors, the impact of China’s second-wave AI adoption will likely manifest less in headline growth metrics and more in incremental financial performance indicators. Key areas to watch include:
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Operating margin expansion driven by process automation
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Reduced fulfillment and logistics costs as a share of revenue
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Improved capital-expenditure efficiency through data-driven asset utilization
The first chapter of China’s AI consumer story was about differentiation—using algorithms to personalize experiences, boost engagement, and drive sales. The next chapter is about discipline. As growth normalizes, companies are deploying AI to do more with less: compress costs, stabilize earnings, and build leaner, more adaptive operating models. In a market where scale alone no longer guarantees profitability, AI has become not just a tool for innovation—but a mechanism for survival.
References:
https://www.barrons.com/articles/china-ai-boom-commerce-warehouses-b1ad55f1
China’s open source AI models to capture a larger share of 2026 global AI market
China’s telecom industry rapid growth in 2025 eludes Nokia and Ericsson as sales collapse
China ITU filing to put ~200K satellites in low earth orbit while FCC authorizes 7.5K additional Starlink LEO satellites
China gaining on U.S. in AI technology arms race- silicon, models and research
U.S. export controls on Nvidia H20 AI chips enables Huawei’s 910C GPU to be favored by AI tech giants in China
Bloomberg: China Lures Billionaires Into Race to Catch U.S. in AI
China’s telecom industry rapid growth in 2025 eludes Nokia and Ericsson as sales collapse
According to a Chinese government update, “Telecommunications business volume and revenue grew steadily, mobile internet access traffic maintained rapid growth, and the construction of network infrastructure such as 5G, gigabit optical networks, and the Internet of Things was further promoted.”
Figure 1. Cumulative growth rate of telecommunications service revenue and total telecommunications service volume
There were 4.83 million 5G base stations in service in China at the end of November 2025, an increase of 579,000 since late 2024 and 37.4% of the total number of mobile base stations in China. In one year, China claims to have added more 5G base stations than Europe has installed since the 5G technology was first put into service.
The total number of mobile phone users of the top four Chinese telcos (China Mobile, China Telecom, China Unicom, China Broadcasting Network) reached 1.828 billion, a net increase of 38.54 million from the end of last year. Among them, 5G mobile phone users reached 1.193 billion, a net increase of 179 million from the end of last year, accounting for 65.3% of all mobile phone users.
Meanwhile, the total number of fixed broadband internet access users of the three state owned telecom operators (China Mobile, China Telecom and China Unicom) reached 697 million, a net increase of 27.12 million from the end of last year. Among them, fixed broadband internet access users with access speeds of 100Mbps and above reached 664 million, accounting for 95.2% of the total users; fixed broadband internet access users with access speeds of 1000Mbps and above reached 239 million, a net increase of 32.52 million from the end of last year, accounting for 34.3% of the total users, an increase of 3.4 percentage points from the end of last year.
The construction of gigabit fiber optic broadband networks continues to advance. As of the end of November, the number of broadband internet access ports nationwide reached 1.25 billion, a net increase of 48.11 million compared to the end of last year. Among them, fiber optic access (FTTH/O) ports reached 1.21 billion, a net increase of 49.42 million compared to the end of last year, accounting for 96.8% of all broadband internet access ports. As of the end of November, the number of 10G PON ports with gigabit network service capabilities reached 31.34 million, a net increase of 3.133 million compared to the end of last year.
The penetration rate of gigabit and 5G users continued to increase across all regions. As of the end of November, the penetration rates of fixed broadband access users with speeds of 1000Mbps and above in the eastern, central, western, and northeastern regions were 34.6%, 33.8%, 35.8%, and 28.5%, respectively, representing increases of 3.4, 2.6, 4.1, and 4.9 percentage points compared to the end of last year; the penetration rates of 5G mobile phone users were 64.9%, 65.9%, 65.1%, and 65.9%, respectively, representing increases of 8.2, 8.7, 8.8, and 9.6 percentage points compared to the end of last year.
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Separately, Light Reading reports that Ericsson and Nokia sales of networking equipment to China have collapsed.
Ericsson recently published earnings release for the final quarter of 2025 puts China revenues at just 3% of total sales last year. This would equate to revenues of 7.1 billion Swedish kronor (US$798 million). Based on a rounding range of 2.5% to 3.4%, it works out to be between SEK5.92 billion ($665 million) and SEK8.05 billion ($905 million) – down sharply compared with the SEK10.2 billion ($1.15 billion) Ericsson made in 2024, according to that year’s Ericsson annual report.
Nokia does not break out details of revenues from mainland China, instead lumping them together with the sales it generates in neighboring Hong Kong and Taiwan. But this “Greater China” business is in decline. Total annual revenues – which include Nokia’s sales of fixed, Internet Protocol and optical network products, as well as 5G – slumped from almost €2.2 billion ($2.6 billion) in 2019 to around €1.5 billion ($1.8 billion) in 2020, before creeping back up to nearly €1.6 billion ($1.9 billion) by 2022. Two years later, they had fallen to about €1.1 billion ($1.3 billion).
Bar Chart Credit: Light Reading
Nokia has recently indicated the complete disappearance of its China business. “Western suppliers, which is only us and Ericsson, have 3% market share now in China and it’s been coming down, and we are going to be excluded from China for national security reasons,” said Tommi Uitto, the former president of Nokia’s mobile networks business group, at a September press conference in Finland also attended by Justin Hotard, Nokia’s CEO. It implies China’s government is now treating the Nordic vendors in the same way Europe and the U.S. are banning Huawei and ZTE networking equipment.
Nokia revealed in its latest earnings update that Greater China revenues for 2025 had fallen by another 19%, to €913 million ($1.08 billion) – just 42% of what Nokia earned in the region seven years earlier. In the last few years, moreover, Nokia has cut more jobs in Greater China than in any other single region. While figures are not yet available for 2025, the Greater China headcount numbered 8,700 employees in 2024, down from 15,700 in 2019.
Ericsson has significantly reduced its China operations following greatly reduced 5G market share. In September 2021, the company consolidated three operator-specific customer units into a unified structure, impacting several hundred sales and delivery roles within its ~10,000-person local workforce. This followed the divestment of a Nanjing-based R&D center (approx. 650 employees), aligning with strategic pivots away from legacy 2G-4G technologies. The company’s total workforce in Northeast Asia plummeted from about 14,000 in mid-2021 to roughly 9,500 at the end of last year, according to Ericsson’s financial statements.
Exclusion from China would leave Ericsson and Nokia on the outside of the world’s most promising 6G market in 2030. That would intensify concern about a bifurcation of 6G into Western and Chinese variants of IMT 20230 RIT/SRIT standard and the 3GPP specified 6G core network.
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References:
https://www.miit.gov.cn/gxsj/tjfx/txy/art/2025/art_7514154ec01c42ecbcb76057464652e4.html
https://www.lightreading.com/5g/ericsson-and-nokia-see-their-sales-in-china-fall-off-a-cliff
https://www.mordorintelligence.com/industry-reports/china-telecom-market
China’s open source AI models to capture a larger share of 2026 global AI market
Goldman Sachs: Big 3 China telecom operators are the biggest beneficiaries of China’s AI boom via DeepSeek models; China Mobile’s ‘AI+NETWORK’ strategy
China Telecom’s 2025 priorities: cloud based AI smartphones (?), 5G new calling (GSMA), and satellite-to-phone services
China ITU filing to put ~200K satellites in low earth orbit while FCC authorizes 7.5K additional Starlink LEO satellites
China gaining on U.S. in AI technology arms race- silicon, models and research
China ITU filing to put ~200K satellites in low earth orbit while FCC authorizes 7.5K additional Starlink LEO satellites
- Purpose: The planned systems are intended to provide global broadband connectivity, data relay, and positioning services, directly competing with U.S. efforts like SpaceX’s Starlink network.
- Filing Entities: The primary filings were submitted by the state-backed Institute of Radio Spectrum Utilization and Technological Innovation, along with other commercial and state-owned companies like China Mobile and Shanghai Spacecom.
- Status: These filings are an initial step in a long international regulatory process and serve as a claim to limited spectrum and orbital slots. They do not guarantee all satellites will ultimately be built or launched. The actual deployment will be a gradual process over many years.
- Context: The move is part of an escalating “space race” to dominate the LEO environment. Early filings are crucial for securing priority access to orbital resources and avoiding signal interference. The sheer scale of the Chinese proposal would, if realized, dwarf most other planned constellations.
- Regulations: Under ITU rules, operators must deploy a certain percentage of the satellites within seven years of the initial filing to retain their rights.
- Shanghai Yuanxin (Qianfan), currently China’s most advanced LEO satellite operator, has submitted a regulatory request for an additional 1,296 satellites.
- Telecommunications giant China Mobile is planning two separate constellations totaling 2,664 satellites.
- ChinaSat, the established state-owned satellite provider, is focusing on a 24-satellite medium-Earth orbit (MEO) system.
- GalaxySpace, a private satellite manufacturer based in Beijing, has applied for 187 satellites, and China Telecom has applied for 12.
Image Credit: Klaus Ohlenschlaeger/Alamy Stock Photo
“This gives SpaceX what they need for the next couple of years of operation. They’re launching a bit over 3,000 satellites a year, so 7,500 satellites being authorized is potentially enough for SpaceX to do what they want to do until late 2027,” said Tim Farrar, satellite analyst and president at TMF Associates.
SpaceX has plans for a larger D2D satellite constellation that would use the AWS-4 and H-block spectrum it is acquiring from EchoStar. It is awaiting FCC approval for the US$17 billion deal, but the spectrum is not expected to be transferred until the end of November 2027.
The FCC noted that the changes will allow the Starlink system to serve more customers and deliver “gigabit speed service.” Along with permission for another tranche of satellites, the FCC has set new parameters for frequency use and lower orbit altitudes. The modified authorizations will also apply to new satellites to be launched.
Starlink’s LEO satellite network competitors are Amazon Leo, OneWeb and AST Space Mobile.
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References:
U.S. BEAD overhaul to benefit Starlink/SpaceX at the expense of fiber broadband providers
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Amazon Leo (formerly Project Kuiper) unveils satellite broadband for enterprises; Competitive analysis with Starlink
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China’s state owned telcos slash CAPEX to the lowest in decades!
China’s big three state-owned telecom operators are drastically slashing capital expenditures (CAPEX) before the next wave of heavy spending on 6G mobile network infrastructure beginning in 2030. Over a year ago, the IEEE Techblog reported the planned CAPEX reductions in this post.
- China Telecom expects its capital expenditure to decline by 11% to 83.6 billion yuan in 2025, returning to pre-5G expansion levels.
- China Mobile also plans to cut its capital expenditure by 8% in 2025, bringing spending close to 2012 levels.
- China Unicom, the smallest of the three, recorded the sharpest drop in spending.
Reasons for the Cuts:
- The 5G network infrastructure buildout has largely reached its peak, with China already having 3.5 million 5G base stations.
- The companies are preparing for the next major investment cycle, which is expected to focus on 6G and AI infrastructure.
- The CAPEX cuts are also being driven by government directives to improve market value and increase shareholder dividends.
- The companies are prioritizing investments in AI infrastructure and computational infrastructure.
- China Mobile’s Chairman Yang Jie stated that the next major investment cycle is expected to focus on 6G and is unlikely to begin before 2028.
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1. China Mobile, the largest wireless carrier in China with over 1 billion subscribers, slashed its annual capital expenditure by over 9% to 164 billion yuan in 2024. The company plans to cut another 8% this year to 151.2 billion yuan. That amount is approaching the 2012 level of 127.4 billion yuan, and is set to decline further in the years to come.
“The overall investment size in the next two to three years will continue to steadily fall,” Yang Jie, China Mobile’s chairman, told reporters in Hong Kong last Thursday. Asked what would trigger the next capital spending spree, Yang said: “From what I see now, the next investment peak will be on 6G” — but he expects that to kick off around 2028. Until then, the industry veteran expects “the proportion of investment to expand in the areas of computation and AI.”
China Mobile Chairman Yang Jie told reporters in Hong Kong on March 20 that the next telecom investment peak would be for 6G mobile network building. (Photo by Kenji Kawase)
Jefferies telecom analyst Edison Lee, said China Mobile’s capex figures were “lower than expected.” The ratio versus its revenue was 18% last year, marking the first dip below 20%, and he expects this proportion to further sink to 16% this year. “This is negative for equipment vendors such as ZTE,” Lee said, although it provides more room for returns to shareholders.
2. China Telecom (#2 in China) announced on Tuesday that its CAPEX for 2024 came to 93.51 billion yuan ($12.9 billion), 5% lower than the previous year. The forecast for this year is even lower, at 83.6 billion yuan, down 11% and lowering the amount to the level before the peak 5G network investment years of around 2020 to 2023. However, with soaring demand for AI computing, it plans a further hike in digital infrastructure spending. It will boost investment in cloud computing and data centers by 22% to RMB45.5 billion ($6.3 billion), making it the biggest single capex item, accounting for 38% of the total.
The company said it’s focused on four technology directions: network, cloud and cloud-network integration, AI and quantum security. It revealed it had deployed 70,000 5G-A base stations in 121 cities, with 5G RedCap coverage in more than 200 cities, and said it had signed up 2.4 million subs to its pioneering D2D mobile satellite service.
Chairman Ke Ruiwen told Nikkei Asia that “the general trend is heading downward.” He added that “before building the new large-scale network (apparently referring to 6G), the investment trend is going continue falling.” He said the company would continue to pursue its strategy focused on cloud and digital transformation.
Source: Cynthia Lee/Alamy Stock Photo
3. China Unicom, the smallest of the three state owned telcos, also slashed its capital spending by 17% to 61.37 billion yuan in 2024, while planning a further reduction to 55 billion yuan this year. “Our investment emphasis has already shifted away from mobile broadband to computing network capabilities for internet data centers and cloud,” said Tang Yongbo, Unicom’s vice president. He also mentioned the impending heavy investment period when the 6G era arrives.
China Telecom and China Unicom have a “co-build, co-share” partnership for 5G investment.
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All three Chinese network operators’ actual capital expenditure in 2024 were lower than the previous guidance they had provided, by an average of 5%. The sum of annual capital expenditure for the three Chinese telcos was 319 billion yuan for 2024, and the combined estimate for 2025 is 289.8 billion yuan. Including China Tower — a tower builder established in 2014 through a merger of the three telecom companies’ related businesses, and publicly listed in 2018 — the total capex last year was 351 billion yuan. This year’s projected amount of 322 billion yuan would be one of the lowest in decades.
References:
https://www.lightreading.com/finance/china-telecom-boosts-profit-cuts-capex
China Mobile & China Unicom increase revenues and profits in 2023, but will slash CAPEX in 2024
Dell’Oro: Global telecom CAPEX declined 10% YoY in 1st half of 2024
Omdia: Huawei increases global RAN market share due to China hegemony
Goldman Sachs: Big 3 China telecom operators are the biggest beneficiaries of China’s AI boom via DeepSeek models; China Mobile’s ‘AI+NETWORK’ strategy
According to a new research report from Goldman Sachs-China, the three major, state owned telecom operators (China Mobile, China Telecom, China Unicom) are quietly becoming the core beneficiaries of China’s AI boom. One reason is that, thanks to their deployment of China’s most extensive cloud infrastructure, they can serve other cloud companies as well as provide their own cloud services to their end user customers. They also enjoy the cost and scale advantages of owning their own data centers and bandwidth. For some IaaS companies, data center and connectivity together account for as much as 60% of total expense, according to Goldman-China.
Goldman analysts believe that telecom operators’ cloud businesses have obvious cost advantages compared to other cloud companies. Those are the following:
- The big 3 Chinese network operators have built their own Data Centers (DCs) and so do not rely on external DC service providers. They even provide DC services to other cloud companies such as Alibaba, which makes the IDC expenses of their cloud business lower.
- The bandwidth cost of operator cloud business is significantly lower than that of other cloud companies because operators use their own network infrastructure, while other cloud companies need to pay operators for bandwidth and private network fees connecting different data centers.
- For the IaaS cloud business, if external DC and bandwidth are used, data center costs (DC services and bandwidth) will account for a considerable proportion of the total cost of the cloud company. Goldman cites QingCloud Technology as an example, its data center costs (including cabinets, bandwidth, etc.) account for 50%-60% of its total costs.
Looking ahead, the telcos are strongly placed to take advantage of the DeepSeek AI boom, thanks to their early embrace of DeepSeek and the government’s push to promote AI among the state-owned enterprises that account for about 30% of operator revenue, Goldman argues. The report states, “the state-owned enterprise background makes the deployment of AI/Deepseek by government agencies and state-owned enterprises more beneficial to telecom operators.”
In the past two weeks, China’s three major operators have begun to help important customers deploy DeepSeek models. China Mobile supports PetroChina in deploying a full-stack Deepseek model; China Telecom provides the same service to Sinopec; and China Unicom cooperates with the Foshan Municipal Bureau of Industry and Information Technology. More importantly, the State-owned Assets Supervision and Administration Commission of the State Council (SASAC) launched the “AI+” action plan on February 21 to encourage Chinese state-owned enterprises to accelerate the development and commercial application of AI. According to Goldman Sachs research, government-related customers account for about 30% of telecom operators’ cloud revenue. Therefore, the deployment of AI/DeepSeek by government agencies and state-owned enterprises will clearly benefit telecom operators.
Separately, China Mobile announced at Mobile World Congress 2025 in Barcelona that it is leveraging artificial intelligence to transform telecommunications networks and drive unprecedented data growth while positioning itself at the forefront of AI-Native network innovation. China Mobile Executive Vice President Li Huidi outlined the company’s ambitious “AI+NETWORK” strategy in a keynote address titled “AI+NETWORK, Pioneering the Digital-Intelligent Future” during the Global MBB Forum Top Talk Summit on Sunday.
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Li Huidi, executive vice president of China Mobile, speaks at the Global MBB Forum Top Talk Summit at Mobile World Congress in Barcelona, Spain, March 2, 2025. (Photo/China Mobile)
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References:
https://wallstreetcn.com/articles/3741901 (Chinese)
https://www.telecoms.com/partner-content/china-mobile-unveils-ai-network-strategy-at-mwc
https://www.lightreading.com/ai-machine-learning/china-telcos-rush-to-embrace-deepseek
China Telecom’s 2025 priorities: cloud based AI smartphones (?), 5G new calling (GSMA), and satellite-to-phone services
China adds 20M “5G package” subscribers in July; 1H-2024 earnings gains outpace revenues for all 3 major China telcos
The number of 5G subscribers in China increased by a sizeable 20 million last month, according to new data from the country’s big three state owned network providers (China Mobile, China Telecom, China Unicom). Of the three, China Mobile is still the only one to report actual customers using its 5G network; China Telecom and China Unicom are sticking to their 5G package subscribers metric, which essentially means customers signed up to a 5G plan, regardless of whether they use 5G network services (most continue to use 4G).
- China Mobile’s July net adds came in at 13.7 million, pushing its 5G customer base up to a colossal 528 million. China Mobile disclosed that it has 129 million customers using its 5G New Calling over high-definition video service reached 129 million, of which, smart application subscribers numbered 11.82 million.
- China Telecom added 3.1 million 5G package customers for a total of 340 million. They did not talk about 5G in their earnings report (more below).
- China Unicom added 2.9 million 5G package customers for a total of 279 million. China Unicom shared details of its 5G network build-out, pointing out that its 5G mid-band base stations numbered in excess of 1.31 million as of mid-year, while low-band sites reached 780,000.
For each of them, cloud and digital transformation (rather than 5G subs) drove topline growth, profit rose more than revenue and shareholder returns increased.
- China Mobile said net profit had improved 5.3% to RMB80.2 billion ($11.2 billion), outpacing revenue, which rose 3% to RMB546.7 billion ($76.6 billion).
- China Telecom, reported net earnings of 21.8 billion Chinese yuan (US3.1 billion), an 8.2% gain over last year, with revenue up 2.8% and service revenue 4.3% higher.
- China Unicom reported 11.3% higher net income of 13.8 billion ($1.93) on the back of a 2.9% lift in sales to RMB197.3 billion ($27.6 billion).
China Mobile says its digital transformation business grew 11% to RMB147.1 billion ($20.6 billion), accounting for 26% of all revenue. China Telecom reported digital industry sales of RMB73.7 billion ($10.3 billion), a 7% increase, and China Unicom said revenue grew 7% to RMB43.5 billion ($6.1 billion).
Source: Cynthia Lee/Alamy Stock Photo)
All three state owned telcos experienced double-digit growth in cloud services. China Telecom’s Tianyi Cloud grew revenue by 20% to RMB55 billion ($7.7 billion), while China Mobile Cloud hiked sales by 19% to RMB50 billion ($7 billion) and China Unicom grew 24% to RMB32 billion ($4.5 billion).
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Silence is Golden?
There was a distinct lack of 5G commentary in China Telecom’s half year report; it is the last of the three to post numbers and did so alongside the publication of the market’s operational statistics for July. The telco shared its 5G package figures – it added almost 18 million in the first six months of 2024, incidentally – but made no other reference to the technology in a fairly wordy statement about its year-to-date performance. Instead, the operator focused on the progress of its digital transformation strategy, leaning heavily on the promise of artificial intelligence. Specifically, China Telecom is talking up what it terms AI+ – there’s always one – and the Xingchen large language model it launched at the back end of last year.
“The Company strengthened the integration and mutual promotion of capabilities in various fields, continuously enriched the Xingchen large model series product portfolio, empowered the intelligent transformation for thousands of industries, and supported enterprises to achieve costs reduction and efficiency enhancement,” it said.
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References:
https://www.telecoms.com/5g-6g/china-added-20-million-5g-subs-last-month
https://www.lightreading.com/finance/cloud-digital-transformation-drive-chinese-telcos-h1-growth
GSMA: China’s 5G market set to top 1 billion this year
MIIT: China’s Big 3 telcos add 24.82M 5G “package subscribers” in December 2023
China Telecom and China Mobile invest in LEO satellite companies
WSJ: China’s Telecom Carriers to Phase Out Foreign Chips; Intel & AMD will lose out
China’s telecom industry business revenue at $218B or +6.9% YoY
ZTE reports H1-2024 revenue of RMB 62.49 billion (+2.9% YoY) and net profit of RMB 5.73 billion (+4.8% YoY)
China’s ZTE reported a 2.9% rise in total revenue to RMB62.5 billion ($8.76 billion), with net profit attributable to holders of ordinary shares of the Hong Kong listed company at RMB 5.73 billion, up 4.8% year-over-year (YoY). The biggest growth surge was in the corporate and government unit, which boosted revenue by 56% to RMB9.2 billion yuan ($1.29 billion), mainly through stronger server and storage sales. However, that was offset by a 68% hike in costs, depressing the gross margin by 5.7 points – a result of “changes in revenue mix,” the company said.
The company’s core carrier network equipment business declined 8.6% in the first half of 2024, holding back underlying earnings to 4.96 billion Chinese yuan (US$700 million) – a gain of just 1.1% over last year. The carrier unit, which accounted for 60% of the company’s total revenue, brought in RMB37 billion ($5.18 billion) in sales in H1, the company revealed in its stock exchange filing.
ZTE said demand from Chinese telecom operators had been constrained by “overall investment sentiments,” but it pointed to improved sales of indoor distribution, high-speed rail and metro networking equipment. ZTE’s consumer business, which includes mostly handsets and home routers, grew 14% to RMB16 billion ($2.24 billion). R&D spending remained flat at RMB12.7 billion ($1.78 billion).
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Source: Cynthia Lee/Alamy Stock Photo
China’s domestic market accounted for 69% of total sales, roughly the same as last year. The biggest offshore growth region was Asia (excluding China), which grew 23%. ZTE said it is positioning itself as a “path-builder for the digital economy” and aimed to further expand its legacy connectivity business while growing its computing business. Its AI portfolio includes full-stack intelligent solutions, backed by key technologies such as high-speed networking, network computing and data processing.
ZTE is developing their own custom silicon. In the first half of 2024, the company continued to increase investment in advanced semiconductor process technologies, advanced architecture and seal packaging design, core intellectual properties and digitalized efficient development platform on the back of close to 30 years’ R&D build-up. We are an industry leader in terms of the ability to design the whole process of chip. On top of a solid foundation in the R&D of base-level technology for DICT chip, the Group has also constructed an ultra-efficient, green and intelligent full-stack computing network base pivoting on “data, computing and network” in line with developments in computing-network integration. The creation of a product regime meeting the core requirements of the diversified scenarios of “cloud, edge, terminal” has supported our ongoing leading position in terms of competitiveness.
ZTE has used its expertise in communication software and hardware development, engineering capabilities and industrialization to intensify its investment in computing power products and solutions. The company has launched a comprehensive suite of full-stack, full-scenario intelligent computing solutions, covering computing, networks, capabilities, intelligence and applications. These solutions include a full range of general computing servers, high-performance AI training servers, inference servers, liquid-cooled servers, distributed storage systems, high-end multi-control magnetic arrays, integrated training-inference machines and high-speed lossless switches.
In the terminal sector, ZTE has introduced the concept of “AI for All”, focusing on five core consumer scenarios: sports and health, audio and video entertainment, business and travel, home and education, and smart driving. The company has launched a full range of AI-driven terminal products, including smartphones, tablets, laptops and mobile internet devices, as part of its Full-Scenario Intelligent Ecosystem 3.0. This ecosystem promotes the integration of AI technology across mobile terminal devices, smart home devices, cloud computing and automotive electronics.
Moving forward, ZTE is dedicated to advancing its core technological innovations and accelerating its expansion into the “connectivity + computing + capability + intelligence” domain. The company will focus on strengthening its digital and intelligent infrastructure. By fostering open collaboration and pursuing diverse, mutually beneficial partnerships, ZTE aims to build a highly efficient and intelligent digital future with industry partners. The company said it expects: gradual adoption of 5G-Advanced, further rollout of 400G optical and construction of intelligent computing centers to drive the China’s telecom carrier market in the second half. Offshore, it will continue to focus on large national markets and big telcos for its wirelines and wireless product lines.
References:
https://www.lightreading.com/finance/zte-s-carrier-sales-slump-9-in-h1
https://www1.hkexnews.hk/listedco/listconews/sehk/2024/0816/2024081601602.pdf
ZTE reports H1 2024 revenue of RMB 62.49 billion and net profit of RMB 5.73 billion
ZTE reports higher earnings & revenue in 1Q-2024; wins 2023 climate leadership award
China Telecom with ZTE demo single-wavelength 1.2T bps hollow-core fiber transmission system over 100T bps
China Mobile & ZTE use digital twin technology with 5G-Advanced on high-speed railway in China
Türk Telekom and ZTE trial 50G PON, but commercial deployment is not imminent
ZTE sees demand for fixed broadband and smart home solutions while 5G lags
China’s mobile data consumption slumps; Apple’s market share shrinks-no longer among top 5 vendors
Mobile data demand is in a steep decline in China, the world’s largest 5G market by subscribers. China’s MIIT numbers released this week show per user data consumption (DOU) grew just 8.1% in the first half of the year. That compares to a 68% increase in 2019, the year that 5G licenses were issued. That fell to 13% in 2022 and 11% at end- 2023. Since then, there’s been a decrease in growth of nearly three percentage points in six months.
| Indicator name | unit | Cumulative from January to June | Year-on-year
Growth ( %) |
| Total volume of telecommunication business (at constant prices of the previous year) | 100 million yuan | 8992 | 11.1 |
| Operating income | 100 million yuan | 10712 | 2.8 |
| Including: Telecommunication business income | 100 million yuan | 8941 | 3.0 |
| Total call duration of fixed-line outgoing calls | 100 million minutes | 380 | -3.4 |
| Total mobile phone call duration | 100 million minutes | 10688 | -4.6 |
| Mobile SMS traffic | 100 million | 9407 | 0.5 |
| Mobile Internet access traffic | 100 million GB | 1604 | 12.6 |
| Average mobile Internet access traffic per household in the month (DOU) | GB/household · month | 18.15 | 8.1 |
| Note: 1. The duration of fixed-line outgoing calls and mobile phone calls includes the corresponding IP phone call duration.
2. Starting from February 2024, the 5G mobile Internet access traffic and the number of 5G mobile Internet users of China Radio and Television Network Group Co., Ltd. (hereinafter referred to as China Radio and Television) will be included in the industry summary data, and the data for the same period last year will be adjusted synchronously. |
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“While China has rapidly rolled out 5G and continues to perform well vs other markets, there is a limit to the number of people in the market that will engage in advanced data services; the slowdown in traffic growth is an indication that we could be reaching that limit,” according to GSMA.
Commercial 5G standalone (SA) networks, now present in seven APAC countries (Australia, India, Japan, the Philippines, Singapore, South Korea, and Thailand), will help fuel this growth, alongside 5G Advanced, RedCap and AI, creating opportunities to launch new 5G applications and kick start a fresh round in 5G investments for enterprises and consumers.
The authors of the report, GSMA Intelligence, expect 5G to add almost $130 billion to the Asia Pacific economy in 2030, with the manufacturing industry forecast to benefit the most, driven by new 5G-enabed applications including smart factories, smart-grids, and IoT-enabled products. Financial services and public administration are also expected to be big beneficiaries, as they turn to 5G to digitally transform services and operations. To help support this growth the GSMA today launched the GSMA APAC Fintech Forum, a new community programme to unite the connected fintech and commerce sectors with Asia Pacific’s mobile network operators through new technologies.
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Meanwhile, Apple’s smartphone market share in China shrank by two percentage points in the second quarter of 2024 and the company is no longer one of the top vendors, according to data from market research firm Canalys. The decline underscores the difficulties the U.S. tech giant faces in its third-largest market.
Huawei’s smartphone shipments surged 41 per cent year on year in the the quarter, bolstered by the launch of its new Pura 70 series in April. Chinese smartphone vendors held the top five spots in the second quarter.
“It is the first quarter in history that domestic vendors dominate all the top five positions,” said Canalys Research Analyst Lucas Zhong. “Chinese vendors’ strategies for high-end products and their deep collaboration with local supply chains are starting to pay off in hardware and software features. HONOR’s latest Magic V3, which leverages GenAI, has significantly enhanced the user experience of foldable devices. Conversely, Apple is facing a bottleneck in mainland China. The vendor’s current channel strategy maintains a healthy inventory level and aims to stabilize retail prices and protect margins of channel partners. In the long term, the Chinese high-end market is ripe with opportunity. Local brands such as Huawei, HONOR, OPPO, and vivo are leading the way by incorporating technologies such as GenAI into products and services. Additionally, the localization of Apple’s Intelligence services in mainland China will be crucial in the next 12 months.”
People’s Republic of China (Mainland) smartphone shipments and annual growth
Canalys Smartphone Market Pulse: Q2 2024
|
Vendor |
Q2 2024 |
Q2 2024 |
Q2 2023 |
Q2 2023 |
Annual |
|
vivo |
13.1 |
19% |
11.4 |
18% |
15% |
|
OPPO |
11.3 |
16% |
11.4 |
18% |
-1% |
|
HONOR |
10.7 |
15% |
10.3 |
16% |
4% |
|
Huawei |
10.6 |
15% |
7.5 |
12% |
41% |
|
Xiaomi |
10.0 |
14% |
8.6 |
13% |
17% |
|
Others |
14.8 |
21% |
15.1 |
24% |
-2% |
|
Total |
70.5 |
100% |
64.3 |
100% |
10% |
|
Notes: from Q1 2021, HONOR is not included in Huawei’s shipments; OnePlus is included in OPPO shipments. |
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References:
https://www.miit.gov.cn/gxsj/tjfx/txy/art/2024/art_e2f06366bb134479a40cf4cf86445b1e.html
https://canalys.com/newsroom/china-smartphone-market-Q2-2024
https://www.lightreading.com/5g/slowing-mobile-numbers-cast-doubt-on-gsma-s-buoyant-forecasts
GSMA: China’s 5G market set to top 1 billion this year
MIIT: China’s Big 3 telcos add 24.82M 5G “package subscribers” in December 2023
