Tuesday, March 19th 2024
AI-Capable PCs Forecast to Make Up 40% of Global PC Shipments in 2025
Canalys' latest forecast predicts that an estimated 48 million AI-capable PCs will ship worldwide in 2024, representing 18% of total PC shipments. But this is just the start of a major market transition, with AI-capable PC shipments projected to surpass 100 million in 2025, 40% of all PC shipments. In 2028, Canalys expects vendors to ship 205 million AI-capable PCs, representing a staggering compound annual growth rate of 44% between 2024 and 2028.
These PCs, integrating dedicated AI accelerators, such as Neural Processing Units (NPUs), will unlock new capabilities for productivity, personalization and power efficiency, disrupting the PC market and delivering significant value gains to vendors and their partners."The wider availability of AI-accelerating silicon in personal computing will be transformative, leading to over 150 million AI-capable PCs shipping through to the end of 2025," said Ishan Dutt, Principal Analyst at Canalys. "PCs with dedicated on-device AI capabilities will enable new and improved user experiences, driving productivity gains and personalizing devices at scale while offering better power efficiency, stronger security and reduced costs associated with running AI workloads. This emerging PC category opens new frontiers for both software developers and hardware vendors to innovate and deliver compelling use cases to customers across consumer, commercial and education scenarios."
The rapid uptake of AI-capable PCs will drive a moderate increase in the TAM value of the broader PC market. "The enhanced capabilities of this new category will create momentum toward premiumization, particularly in the commercial sector," said Canalys Analyst Kieren Jessop. "In the short term, Canalys expects a 10% to 15% price premium on AI-capable PCs compared with similarly specified PCs without NPU integration. With the spike in adoption, by the end of 2025, over half of PCs priced at US$800 and above will be AI-capable, with this share increasing to over 80% by 2028. As a result, PC shipments in this price range will grow to account for more than half the market in just four years. This will help boost the overall value of PC shipments from US$225 billion in 2024 to over US$270 billion in 2028."
Canalys' latest forecasts underscore the massive potential and wide-ranging impact AI-capable PCs will have on the industry over the next five years and beyond. Vendors that can deliver innovative, differentiated AI-accelerated experiences stand to gain significant advantage as this disruptive new category goes mainstream.
Canalys' "Now and next for AI-capable PCs" report provides a comprehensive overview of this future computing paradigm. It includes initial category definitions and forecasts, technical considerations, market opportunities and potential industry challenges. For more insights into the transformative effects of AI on other sectors of the technology industry and channel, explore here.
Source:
Canalys
These PCs, integrating dedicated AI accelerators, such as Neural Processing Units (NPUs), will unlock new capabilities for productivity, personalization and power efficiency, disrupting the PC market and delivering significant value gains to vendors and their partners."The wider availability of AI-accelerating silicon in personal computing will be transformative, leading to over 150 million AI-capable PCs shipping through to the end of 2025," said Ishan Dutt, Principal Analyst at Canalys. "PCs with dedicated on-device AI capabilities will enable new and improved user experiences, driving productivity gains and personalizing devices at scale while offering better power efficiency, stronger security and reduced costs associated with running AI workloads. This emerging PC category opens new frontiers for both software developers and hardware vendors to innovate and deliver compelling use cases to customers across consumer, commercial and education scenarios."
The rapid uptake of AI-capable PCs will drive a moderate increase in the TAM value of the broader PC market. "The enhanced capabilities of this new category will create momentum toward premiumization, particularly in the commercial sector," said Canalys Analyst Kieren Jessop. "In the short term, Canalys expects a 10% to 15% price premium on AI-capable PCs compared with similarly specified PCs without NPU integration. With the spike in adoption, by the end of 2025, over half of PCs priced at US$800 and above will be AI-capable, with this share increasing to over 80% by 2028. As a result, PC shipments in this price range will grow to account for more than half the market in just four years. This will help boost the overall value of PC shipments from US$225 billion in 2024 to over US$270 billion in 2028."
Canalys' latest forecasts underscore the massive potential and wide-ranging impact AI-capable PCs will have on the industry over the next five years and beyond. Vendors that can deliver innovative, differentiated AI-accelerated experiences stand to gain significant advantage as this disruptive new category goes mainstream.
Canalys' "Now and next for AI-capable PCs" report provides a comprehensive overview of this future computing paradigm. It includes initial category definitions and forecasts, technical considerations, market opportunities and potential industry challenges. For more insights into the transformative effects of AI on other sectors of the technology industry and channel, explore here.
6 Comments on AI-Capable PCs Forecast to Make Up 40% of Global PC Shipments in 2025
apple has had an npu since the m1, still no idea what it does and when.
Surprised the marking didn't say 100% by then
Damn they're slipping hehe
Why would you need to have a local model running on your CPU, which will be severely limited by your RAM and your 'NPU' capabilities when having a distant model on a much more powerful and capable server will probably get you a faster and better answer ?
I understand the point of view of those that sell the hardware, but from a customer point of view, I search the logic when actual AI products that you can run locally on a GPU for example, are not that common.
Now, if it is not for the benefit of said customer ...