{"id":246,"date":"2024-06-02T07:25:10","date_gmt":"2024-06-02T07:25:10","guid":{"rendered":"https:\/\/timesheraldglobalnews.com\/2024\/06\/02\/gartner-predicts-worldwide-chip-revenue-will-gain-33-in-2024\/"},"modified":"2024-06-02T07:25:10","modified_gmt":"2024-06-02T07:25:10","slug":"gartner-predicts-worldwide-chip-revenue-will-gain-33-in-2024","status":"publish","type":"post","link":"https:\/\/mainaccount.site\/reviews\/2024\/06\/02\/gartner-predicts-worldwide-chip-revenue-will-gain-33-in-2024\/","title":{"rendered":"Gartner Predicts Worldwide Chip Revenue Will Gain 33% in 2024"},"content":{"rendered":"


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It\u2019s no secret the AI accelerator business is hot today, with semiconductor manufacturers spinning up neural processing units, and the AI PC initiative driving more powerful processors into laptops, desktops and workstations.<\/p>\n

Gartner studied the AI chip industry and found that, in 2024, worldwide AI chip revenue is predicted to grow by 33%. Specifically, the Gartner report<\/a> \u201cForecast Analysis: AI Semiconductors, Worldwide\u201d detailed competition between hyperscalers (some of whom are developing their own chips and calling on semiconductor vendors), the use cases for AI chips, and the demand for on-chip AI accelerators.<\/p>\n

\u201cLonger term, AI-based applications will move out of data centers into PCs, smartphones, edge and endpoint devices,\u201d wrote Gartner analyst Alan Priestley in the report.<\/p>\n

Where are all these AI chips going?<\/h2>\n

Gartner predicted total AI chips revenue in 2024 to be $71.3 billion (up from $53.7 billion in 2023) and increasing to $92 billion in 2025. Of total AI chips revenue, computer electronics will likely account for $33.4 billion in 2024, or 47% of all AI chips revenue. Other sources for AI chips revenue will be automotive electronics ($7.1 billion) and consumer electronics ($1.8 billion).<\/p>\n

Of the $71.3 billion in AI semiconductor revenue in 2024, most will come from discrete and integrated application processes, discrete GPUs and microprocessors for compute, as opposed to embedded microprocessors.<\/p>\n

\"Discrete
Discrete and integrated application processors saw the most growth in AI semiconductor revenue from devices in 2024. Image: Gartner<\/figcaption><\/figure>\n

In terms of AI semiconductor revenue from applications in 2024, most will come from compute electronics devices, wired communications electronics and automotive electronics.<\/p>\n

Gartner noticed a shift in compute needs from initial AI model training to inference, which is the process of refining everything the AI model has learned in training. Gartner predicted more than 80% of workload accelerators deployed in data centers will be used to execute AI inference workloads by 2028, an increase of 40% from 2023.<\/p>\n

SEE: Microsoft\u2019s new category of PCs, Copilot+<\/a>, will use Qualcomm processors to run AI on-device.<\/strong><\/p>\n