The global AI chip market is expected to reach US$53.4 billion in 2023, a year-on-year growth of 20.9%

According to the latest forecast data released by Gartner, global artificial intelligence (AI) semiconductor revenue is expected to reach US$53.4 billion by 2023, a year-on-year increase of 20.9%

The development of generative artificial intelligence and the widespread use of various ways to apply artificial intelligence in data centers, edge infrastructure and edge devices will require the use of GPUs and other optimized semiconductor devices for deployment, a report states. This will further promote the production and deployment of artificial intelligence chips

According to Gartner's forecast, the revenue of artificial intelligence semiconductors will continue to grow at a double-digit growth rate in the future. Among them, by 2024, it is expected to grow by 25.6% to reach US$67.1 billion. It is expected that by 2027, the revenue of artificial intelligence chips is expected to more than double the market size in 2023, reaching US$119.4 billion

In addition, as enterprises become more mature in their use of artificial intelligence work applications, more and more industries and IT organizations will begin to deploy systems equipped with artificial intelligence chips. In the consumer electronics market, according to Gartner estimates, the value of artificial intelligence application processors for devices will reach US$1.2 billion by the end of 2023, which will double compared with US$558 million in 2022

According to Gartner, the need for efficient and optimized designs that support cost-effective execution of artificial intelligence work will lead to an increase in the deployment of customized AI chips. For many organizations, large-scale deployment of customized AI chips will replace current primary chip architectures to further support a variety of applications using generative AI technologies

The rewritten content is as follows: Editor: Xinzhixun-Ruruunijian

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