Home > Article > Technology peripherals > Global AI PC shipments next year are expected to exceed 13 million units, with the release of AI CPU and Win 12
According to the latest research released by Qunzhi Consulting yesterday, with the continuous advancement of algorithms and hardware, the application of artificial intelligence technology in the field of personal computers will become more extensive and efficient. The agency believes that computers with integrated software and hardware hybrid intelligent learning and reasoning capabilities can be called AI PCs, such as personal computer products equipped with Intel’s 14th generation Meteor Lake CPU and Microsoft Windows 12 system
According to Qunzhi Consulting’s forecast, with the release of AI CPU and Windows 12, next year will be the first year of large-scale shipments of AI PCs, and global AI PC shipments are expected to reach approximately 13 million units in that year.
Then in 2025-2026, AI PC shipments will continue to maintain an annual growth rate of more than double digits, and will become a mainstream PC product type in 2027. The above prediction also means that the global PC industry will "steadily enter" the AI era in the next five years.
Currently some large hardware manufacturers have expressed similar intentions. IT House previously reported that Intel CEO Pat Gelsinger said in August this year that their upcoming 14th generation Core processor Meteor Lake will usher in the era of artificial intelligence computers
In the previous Q2 earnings call, Gelsinger said: "We believe Intel is well-prepared to seize this emerging growth opportunity." He also emphasized: "We believe that AI PC will be the key player in the next few years. A key turning point in the PC market, as important as Centrino and Wi-Fi."
▲ Picture source Intel
In the first half of this year, HP CEO Enrique Lores said in an interview with CNBC that AI is subverting the PC business, and HP will meet various challenges in this wave. He also revealed that HP will launch a new PC as early as 2024. Data that takes professional analysts several hours to gain insight into can be easily obtained by ordinary users in a very short time.
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