RAN Market Stabilizes, But Open RAN's Fate Hinges on AI Economics

RAN Market Stabilizes, But Open RAN’s Fate Hinges on AI Economics

Introduction

The global RAN market has posted its third consecutive quarter of modest growth, according to a new Dell’Oro Group report. But the analyst firm maintains a broadly flat outlook for the year. For telecom executives weighing Open RAN investments, this mixed signal raises critical questions. In this Q&A, we dissect the numbers and their implications for the open, intelligent networks of the future.

Q1: Why should I care about another quarter of modest RAN growth?

A: Because it signals a potential end to the prolonged downturn that has squeezed vendor revenues and operator budgets since 2021. After more than two years of contraction, the market stabilizing is a necessary precondition for any new technology adoption, including Open RAN. If the overall pie stops shrinking, operators may have more confidence to invest in next-generation architectures rather than just maintaining legacy networks.

Q2: The Dell’Oro report says growth is “modest” and the outlook is “broadly flat.” Isn’t that just a euphemism for stagnation?

A: You’re right to be skeptical. “Modest” growth in Q2 2026 slightly exceeded expectations, but the full-year forecast remains unchanged. This suggests the market is finding a floor, not soaring. For Open RAN, this means the business case must be compelling on its own merits—cost savings, flexibility, and AI integration—rather than riding a wave of overall market expansion.

Q3: How does this market context affect Open RAN’s value proposition?

A: In a flat market, operators are unlikely to rip out working legacy equipment. Open RAN’s appeal shifts toward targeted deployments: greenfield networks, capacity upgrades, or specific use cases like AI-RAN. The Dell’Oro data shows the top five vendors (Huawei, Ericsson, Nokia, ZTE, Samsung) control 96% of the market. Open RAN vendors must displace incumbents by offering clear advantages in cost or capability, not just ideological purity.

Q4: What role does AI play in this equation?

A: AI is increasingly the differentiator. The Dell’Oro report doesn’t break out AI-RAN, but separate industry momentum is clear. Nokia and NVIDIA have launched commercial AI-RAN platforms, and Ericsson is pushing AI-in-RAN subscriptions. The ability to run AI applications at the edge—for spectrum optimization, predictive maintenance, or even drone detection—could justify new investments even in a flat market. Open RAN’s disaggregated architecture is well-suited to integrate AI accelerators from multiple vendors.

Q5: Are there any geographic bright spots?

A: Yes. Omdia sees RAN growth outside China despite the weak global market. This suggests opportunities in regions like India, Southeast Asia, and the Middle East, where 5G rollouts are still expanding. For Open RAN, these greenfield markets could be more receptive to open architectures than mature markets with entrenched legacy vendors. However, the Dell’Oro report notes Huawei had a strong quarter, indicating China’s influence remains dominant.

Q6: How does the geopolitical AI race factor into RAN decisions?

A: The U.S.-China tech rivalry is intensifying. China is pushing digital sovereignty and marshalling data as a strategic asset, while the U.S. is reportedly asking allies to choose sides in AI. For telecom operators, this could impact vendor choices, especially for AI-enabled RAN. Open RAN, with its multi-vendor approach, offers a hedge against geopolitical supply chain risks. But it also introduces complexity and potential security concerns that operators must manage.

Q7: Given all this, what should a skeptical executive do now?

A: The data suggests a cautious approach. The RAN market is stabilizing, but not booming. Open RAN’s future is tied to its ability to deliver AI-driven efficiencies and open up new revenue streams. Start with pilot projects in specific use cases, measure the economics, and only scale if the numbers work. The technology is maturing, but the business case must be proven in your unique context.

Q8: What about the long-term outlook for 6G?

A: Early 6G standards work treats AI as a native architectural consideration. Both Nokia and Ericsson are positioning their AI-RAN strategies as stepping stones to 6G. However, the hardware approach is still contested—Nokia is betting on NVIDIA GPUs, while Ericsson emphasizes its own silicon and warns against dependence on a single supplier. For operators, this means choosing partners wisely and keeping options open.

Q9: Can Open RAN really deliver on its promises in this environment?

A: The proof is in the deployments. While many Open RAN projects remain trials, commercial rollouts are increasing. The key is to focus on measurable outcomes: reduced total cost of ownership, improved spectral efficiency, and faster feature deployment. If Open RAN can demonstrate these benefits in a flat market, it will earn its place. If not, it will remain a niche technology.

Conclusion

The RAN market’s stabilization is a positive sign, but it’s not a game-changer. For Open RAN to thrive, it must offer clear economic and operational advantages, especially through AI integration. Executives should watch the numbers, pilot carefully, and position their networks for the AI-native future.

Sources

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