Decline In PC Shipments Broke A Record In 2015
IDC and Gartner released “2015 PC shipment and distribution to manufacturers,” according to the information contained in the report were disappointing in 2015 for manufacturers. Both reports underline that saw the biggest drop in the history of computer shipment levels.
IDC and Gartner released “2015 PC shipment and distribution to manufacturers,” according to the information contained in the report were disappointing in 2015 for manufacturers. Both reports underline that saw the biggest drop in the history of computer shipment levels.
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The total number of PC shipments in 2015 decreased 8 percent compared to 2014, according to the forecast report published by Gartner. The most affected companies by this decline (-16,5 percent) located Others category except (Lenovo, HP, Dell, Asus, Apple and Acer). The second affected is Acer Group that shipments decreased 15,3 and Asus ranked third, shipments decreased 6,5 percent. Apple is the only company capable of increasing the number of shipments, and the number of computer shipments increased 5,8 percent compared to the previous year. According to the Gartner report in 2015, 228.735 million shipments, quoted in the same report in 2014, this number stood at 313.681 million.
According to the IDC report, total PC shipments decreased the rate of -10,4 percent compared to the previous year. And the most affected companies are also in others categories by 19,7 percent decrease. The second most affected company is Acer Group that shipments decreased -18.1 percent.And the third place we see two companies Dell and HP by the decrease of 5,9 percent in IDC report. Apple was also the only company that increases in shipping rates according to a report from IDC, The rate of increment was 6.2 percent compared to the previous year. The total number of 276.216 million PCs were shipped in 2015, 308.365 million PCs shipment in 2014. Finally, we note that both the reports prepared by the estimated results.
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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