Key Points

Global spending on generative AI smartphones is projected to reach $298.2 billion by the end of 2025. Gartner defines these devices as smartphones equipped with neural processing units capable of running small language models. The research firm predicts that 100% of premium smartphones will feature GenAI capabilities by 2029. This growth is driven by improved NPU performance that enables real-time execution of complex AI workloads without excessive power consumption.

Key Points: GenAI Smartphone Spending to Hit $298 Billion by 2025 End

  • Global GenAI smartphone spending to total $298.2 billion by end of 2025
  • 100% of premium smartphones will feature GenAI capabilities by 2029
  • On-device NPUs exceeding 40 TOPS to become standard by 2027
  • Spending projected to grow 32% to $393.3 billion in 2026
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Global end-user spending on GenAI smartphones to reach $298.2 billion by 2025 end

Gartner forecasts global GenAI smartphone spending will reach $298.2B in 2025, driven by on-device AI models and neural processing units (NPUs) in premium devices.

"Users are expected to become more comfortable with AI as a proactive digital companion - Ranjit Atwal, Gartner"

New Delhi, Sep 9

The total spending on GenAI smartphones globally will account for 20 per cent of total AI end-user spending in 2025, a report said on Tuesday. According to Gartner, the global end-user spending on generative AI (GenAI) smartphones is expected to reach $298.2 billion by the end of this year.

For the study, Gartner defined GenAI smartphones as devices equipped with a built-in neural engine or neural processing unit (NPU) capable of running small language models.

The forecast covers both premium smartphones and basic smartphones (under $350) but excludes utility smartphones as they are not expected to have NPU capabilities in future.

"Currently, most users still rely on text or touch for all tasks, and voice interactions remain limited in scope. However, as conversational AI becomes more natural in the future, users are expected to become more comfortable with AI as a proactive digital companion, rather than just a reactive tool," said Ranjit Atwal, Senior Director Analyst at Gartner.

“The broad use of new NPUs in smartphones will allow GenAI models to run faster and more efficiently, requiring users to upgrade to the latest smartphone hardware for optimized experiences,” Atwal added.

With all mobile vendors increasingly integrating on-device GenAI models and applications, end-user spending on GenAI smartphones is expected to total $393.3 billion in 2026, an increase of 32 per cent from 2025.

The research firm forecasted that 100 per cent of premium smartphones will feature GenAI capabilities by 2029. It said that, in 2025, almost all premium GenAI smartphones will include NPUs, with 41 per cent of basic GenAI smartphones featuring NPUs.

On-device NPUs performance levels exceeding 40 tera operations per second (TOPS) will become the standard in premium GenAI smartphones by 2027, according to Gartner.

Such a performance level will enable real-time execution of complex multimodal AI workloads without excessive power consumption, it noted.

- IANS

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Reader Comments

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Priya S
Just bought a new phone last month and now they're saying I need to upgrade again for AI features? 🤦‍♀️ This feels like planned obsolescence. Middle-class families can't keep up with these rapid tech changes.
David E
The 40 TOPS performance standard by 2027 is impressive. This could revolutionize how we interact with our devices. Voice-based AI assistants that actually understand Indian accents would be a game-changer!
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Ananya R
Hope these AI features will be available in regional languages too. Most AI tools today only work well in English, which excludes so many Indians from benefiting from this technology.
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Sarah B
While the technology is fascinating, I'm concerned about privacy implications. On-device processing is better than cloud-based, but we need strong data protection laws in India to prevent misuse.
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Vikram M
$298 billion is a massive number! This shows how quickly AI is becoming mainstream. Indian startups should focus on developing AI applications tailored for our market needs. 🚀

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