Nokia alights on AI as support for data-burdened networks

  • Nokia said data demand will grow at a CAGR of up to 25% through 2030

  • It claims much of this growth will be stimulated by AI and cloud

  • This could give the vendor something new to sell to carriers

Despite the gloom hanging over the last quarter of 2023, Nokia said in its new Global Network Traffic 2030 report that user data traffic demand will grow at a compounded annual growth rate (CAGR) of 22% to 25% from 2022 through 2030.

The vendor said that global network traffic demand is expected to reach between 2,443 to 3,109 exabytes (EB) per month in 2030. It claims that for networks to support these growing data needs they “will need to be cognitive” using artificial intelligence (AI) and machine learning (ML).

“Radical changes are needed now to evolve networks to meet the challenges of tomorrow and beyond. Enterprises across industry face three trends bearing down on them: AI, cloud and the constant evolution of connectivity,” Nishant Batra, Chief Strategy and Technology Officer at Nokia, said in a statement.

Nokia is following Ericsson and other telco vendors into the network AI field. As we’ve seen, so far, most of the excitement is centered around AI chatbots for customer service applications.

Appledore Reseach AI analyst Roman Ferrando told Silverlinings recently in Las Vegas, “If you look ahead 10 years, you can see operators using GenAI to reduce their day-to-day operational expenditure (opex)."

This could be good news for harried vendors like Nokia and Ericsson. It may give them some new software to flog to carriers. If the hyperscalers don’t get there first of course. 


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