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AI Hardware’s Decade of Change:
Unpacking ABI Research’s Q3 2025 Market Forecasts

Cloud, edge, TinyML, and personal/work device chipsets are evolving quickly as GenAI, new workloads, and custom silicon reshape the global AI hardware landscape.

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AI Hardware Enters a Decade of Rapid Transformation

Artificial Intelligence (AI) hardware is undergoing one of the fastest shifts in its history. The rise of Generative AI, compute-intensive workloads, and on-device intelligence is accelerating demand for optimized silicon across cloud data centers, edge deployments, and personal devices.

 

ABI Research’s latest Q3 2025 forecast highlights significant growth across cloud AI, edge AI, TinyML, and personal/work device markets. From GPUs dominating cloud training workloads to ASICs driving efficiency at the edge, each AI hardware segment is becoming more specialized, diverse, and strategically important.

 

This whitepaper summarizes key trends, shipment forecasts, and architectural transitions shaping AI hardware through 2031—and illustrates how vendors, OEMs, and developers can align their strategies with this multi-layered, fast-moving market.

 

Topics Covered

  • Cloud AI Market Outlook: How GenAI and custom silicon are reshaping cloud compute demand

  • Edge AI Expansion: Why machine vision and ASIC architectures are fueling new deployments

  • TinyML Acceleration: Growth trends and use cases driving ultra-low-power AI adoption

  • AI in Personal & Work Devices: The role of heterogeneous compute in next-gen PCs and smartphones

  • Hybrid & On-Device AI: How local + cloud processing is redefining the AI ecosystem

  • Regional Dynamics: Which markets lead AI hardware adoption through 2031

 

Download the whitepaper to explore ABI Research’s latest forecast insights across cloud, edge, TinyML, and personal/work device AI hardware—and discover the architectures, workloads, and regions shaping the next decade of intelligent computing.

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