Key Takeaways
- 55% of Android users actively used AI features daily in Q2 2024 surveys.
- iOS 17's AI Siri upgrades saw 40% weekly active usage among iPhone 15 owners.
- 72% of Gen Z smartphone buyers prioritized AI features in purchase decisions 2023.
- AI-driven personalization increased average revenue per mobile user (ARPU) by 18% in 2023.
- Mobile AI features boosted smartphone ASP by $120 on average in premium segment 2023.
- AI optimization reduced mobile data costs by 22% for operators in 2023.
- Mobile AI market projected to reach $100 billion by 2028 at 28% CAGR.
- AI smartphones expected to comprise 50% of shipments by 2027.
- On-device generative AI adoption forecasted at 80% of premium phones by 2026.
- Global AI smartphone shipments reached 300 million units in 2023, representing 22% of total smartphone shipments and marking a 150% year-over-year growth.
- The AI chip market for mobile devices is projected to grow from $15 billion in 2022 to $45 billion by 2027 at a CAGR of 24.6%.
- In Q4 2023, 35% of premium smartphones featured dedicated Neural Processing Units (NPUs) for on-device AI, up from 12% in 2022.
- Google's Gemini Nano model integrated in 120 million Android devices by Q1 2024.
- Qualcomm Snapdragon 8 Gen 3's Hexagon NPU delivers 45 TOPS for generative AI tasks.
- Apple's Neural Engine in A17 Pro processes 35 trillion operations per second for ML.
Mobile AI use is surging, driving higher engagement, revenue, and adoption across devices and enterprises.
Related reading
01 · Category
Adoption and Usage30 stats
Adoption and Usage Interpretation
02 · Category
Economic Impact27 stats
Economic Impact Interpretation
03 · Category
Future Projections30 stats
Future Projections Interpretation
More related reading
04 · Category
Market Size and Growth30 stats
Market Size and Growth Interpretation
05 · Category
Technological Innovations30 stats
Technological Innovations Interpretation
06 · Category
Technological Innovations, source url: https://machinelearning.apple.com/research/core-ml-optimizations-20231 stats
Technological Innovations, source url: https://machinelearning.apple.com/research/core-ml-optimizations-2023 Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Lukas Bauer. (2026, February 13). AI In The Mobile Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-mobile-industry-statistics
Lukas Bauer. "AI In The Mobile Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-mobile-industry-statistics.
Lukas Bauer. 2026. "AI In The Mobile Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-mobile-industry-statistics.
Sources & references
81 datasets cited across this report · attribution is report-level

