As China’s 5G market nears saturation, operators are shifting focus from subscriber growth to revenue monetization. Enterprise services, industrial applications, IoT, and premium experiences are emerging as the key drivers of higher-value, longer-term growth, supported by government policy and network sharing.
In sum – what to know:
Monetization shift – As 5G penetration nears saturation, revenue growth in China is moving toward enterprise services, IoT, and premium user experiences.
Enterprise upside – Industrial 5G and private networks offer higher-value, longer-term contracts, driving faster revenue growth than traditional consumer services.
Policy advantage – Administrative spectrum allocation and network sharing reduce costs and accelerate rollout, supporting strong ROI and nationwide coverage.
As China approaches mass 5G adoption, the focus is beginning to shift from subscriber growth to monetization, with operators increasingly targeting enterprise services and industrial applications to sustain revenue expansion.
The country’s 5G market is entering a new phase. With penetration expected to reach 88% by 2030, future growth will depend less on adding users and more on extracting value from advanced services and use cases.
“Going forward, the incremental revenue growth will primarily emerge from monetization layers built on enterprise and industrial 5G applications, IoT connectivity, and premium services,” Srikanth Vaidya, associate project manager at research firm GlobalData, told RCR Wireless News.
This marks a clear transition from the early stages of 5G deployment, which were largely driven by coverage expansion and subscriber acquisition. In the next phase, operators are expected to focus on increasing average revenue per user (ARPU) through differentiated service offerings.
“Operators will continue to uplift their ARPU via high-speed data plans and by offering differentiated experiences with guaranteed speeds and low-latency capabilities, such as low-latency gaming and immersive media,” he added.
“While consumer mobile services will continue to contribute significant share of the telecom revenues, enterprise and industrial 5G use cases will drive faster revenue growth for operators in the country,” Vaidya said.
Use cases such as smart manufacturing and private 5G networks are emerging as key opportunities. These deployments not only deliver higher revenue per contract but also offer greater stability compared to traditional consumer services.
“Smart manufacturing contracts or private 5G-network deployments have the ability to generate higher revenue than hundreds of consumer subscribers and also have longer contract cycles, which make them less churn prone,” he said.
Government policy continues to play a central role in shaping the structure and economics of China’s 5G market. Unlike many other regions, China has adopted an administrative approach to spectrum allocation, avoiding competitive auctions.
“China has administratively allocated its spectrum to operators based on their needs and national objectives, and not via competitive bidding,” Vaidya said.
“This significantly lowers the cost burden for operators enabling them to carryout aggressive nation-wide rollouts. Lower spectrum costs also ensure better balance sheets and higher ROI,” he added.
At the same time, spectrum distribution has been managed to maintain competitive balance rather than to maximize differentiation among operators, Vaidya said.
In parallel, government-backed initiatives such as network sharing have accelerated deployment timelines and expanded coverage. “Government policies have also encouraged network sharing alliances which has led to faster nation-wide coverage with China having the highest number of 5G base stations globally,” he said.
The total mobile communication services revenue in the Asia-Pacific (APAC) region is expected to increase at a compound annual growth rate (CAGR) of 2.3% from $310.6 billion in 2025 to $347.3 billion in 2030, driven by the steady growth in mobile subscribers, according to a recent report by GlobalData.
