{"id":21176,"date":"2023-08-28T05:02:37","date_gmt":"2023-08-28T05:02:37","guid":{"rendered":"https:\/\/web3unplugged.io\/blog\/?p=21176"},"modified":"2023-08-28T05:02:39","modified_gmt":"2023-08-28T05:02:39","slug":"ai-chips-revenue-to-hit-53bn-in-2023-gartner","status":"publish","type":"post","link":"https:\/\/web3unplugged.io\/blog\/ai-chips-revenue-to-hit-53bn-in-2023-gartner\/","title":{"rendered":"AI Chips Revenue To Hit $53Bn In 2023: Gartner"},"content":{"rendered":"\n<p>Semiconductors designed to execute artificial intelligence (AI) workloads will represent a $53.4bn revenue opportunity for the semiconductor industry in 2023, an increase of 20.9% from 2022, according to the latest forecast from Gartner, Inc.<\/p>\n\n\n\n<p>\u201cThe developments in generative AI and the increasing use of a wide range of AI-based applications in data centres, edge infrastructure and endpoint devices require the deployment of high-performance graphics processing units (GPUs) and optimised semiconductor devices. This is driving the production and deployment of AI chips,\u201d said Alan Priestley, VP Analyst at Gartner.<\/p>\n\n\n\n<p>AI semiconductor revenue will continue to experience double-digit growth through the forecast period, increasing 25.6% in 2024 to $67.1 billion. By 2027, AI chips revenue is expected to be more than double the size of the market in 2023, reaching $119.4bn.<\/p>\n\n\n\n<p>Many more industries and IT organisations will deploy systems that include AI chips as the use of AI-based workloads in the enterprise matures. In the consumer electronics market, Gartner analysts estimate that by the end of 2023, the value of AI-enabled application processors used in devices will amount to $1.2bn, up from $558m in 2022.<\/p>\n\n\n\n<p>The need for efficient and optimised designs to support the cost-effective execution of AI-based workloads will result in an increase in deployments of custom-designed AI chips.\u201cFor many organisations, large-scale deployments of custom AI chips will replace the current predominant chip architecture \u2013 discrete G\u2013 for a wide range of AI-based workloads, especially those based on generative AI techniques,\u201d said Priestley.<\/p>\n\n\n\n<p>Generative AI is also driving demand for high-performance computing systems for development and deployment, with many vendors offering high-performance GPU-based systems and networking equipment seeing significant near-term benefits. In the long term, as hyperscalers look for efficient and cost-effective ways to deploy these applications, Gartner expects an increase in their use of custom-designed AI chips.<\/p>\n\n\n\n<p>Gartner clients can read more in\u201cForecast: AI Semiconductors, Worldwide, 2021-2027, 2Q23 Update.\u201d<\/p>\n\n\n\n<p>Learn how to lead through change spurred by generative AI in the complimentary Gartner webinar\u201cHow CIOs Can Lead Through Generative AI&#8217;s Business Implications.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Semiconductors designed to execute artificial intelligence (AI) workloads will represent a $53.4bn revenue opportunity for the semiconductor industry in 2023, an increase of 20.9% from 2022, according to the latest forecast from Gartner, Inc. \u201cThe developments in generative AI and the increasing use of a wide range of AI-based applications in data centres, edge infrastructure [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":21178,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"none","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"categories":[2],"tags":[],"class_list":["post-21176","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"rttpg_featured_image_url":{"full":["https:\/\/web3unplugged.io\/blog\/wp-content\/uploads\/2023\/08\/Untitled-10.jpg",900,675,false],"landscape":["https:\/\/web3unplugged.io\/blog\/wp-content\/uploads\/2023\/08\/Untitled-10.jpg",900,675,false],"portraits":["https:\/\/web3unplugged.io\/blog\/wp-content\/uploads\/2023\/08\/Untitled-10.jpg",900,675,false],"thumbnail":["https:\/\/web3unplugged.io\/blog\/wp-content\/uploads\/2023\/08\/Untitled-10-150x150.jpg",150,150,true],"medium":["https:\/\/web3unplugged.io\/blog\/wp-content\/uploads\/2023\/08\/Untitled-10-300x225.jpg",300,225,true],"large":["https:\/\/web3unplugged.io\/blog\/wp-content\/uploads\/2023\/08\/Untitled-10.jpg",900,675,false],"1536x1536":["https:\/\/web3unplugged.io\/blog\/wp-content\/uploads\/2023\/08\/Untitled-10.jpg",900,675,false],"2048x2048":["https:\/\/web3unplugged.io\/blog\/wp-content\/uploads\/2023\/08\/Untitled-10.jpg",900,675,false],"post-thumbnail":["https:\/\/web3unplugged.io\/blog\/wp-content\/uploads\/2023\/08\/Untitled-10.jpg",560,420,false],"graptor-sq-xs":["https:\/\/web3unplugged.io\/blog\/wp-content\/uploads\/2023\/08\/Untitled-10.jpg",100,75,false]},"rttpg_author":{"display_name":"Admin CG","author_link":"https:\/\/web3unplugged.io\/blog\/author\/admin-cg\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/web3unplugged.io\/blog\/category\/news\/\" rel=\"category tag\">news<\/a>","rttpg_excerpt":"Semiconductors designed to execute artificial intelligence (AI) workloads will represent a $53.4bn revenue opportunity for the semiconductor industry in 2023, an increase of 20.9% from 2022, according to the latest forecast from Gartner, Inc. \u201cThe developments in generative AI and the increasing use of a wide range of AI-based applications in data centres, edge infrastructure&hellip;","_links":{"self":[{"href":"https:\/\/web3unplugged.io\/blog\/wp-json\/wp\/v2\/posts\/21176","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web3unplugged.io\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/web3unplugged.io\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/web3unplugged.io\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/web3unplugged.io\/blog\/wp-json\/wp\/v2\/comments?post=21176"}],"version-history":[{"count":1,"href":"https:\/\/web3unplugged.io\/blog\/wp-json\/wp\/v2\/posts\/21176\/revisions"}],"predecessor-version":[{"id":21179,"href":"https:\/\/web3unplugged.io\/blog\/wp-json\/wp\/v2\/posts\/21176\/revisions\/21179"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/web3unplugged.io\/blog\/wp-json\/wp\/v2\/media\/21178"}],"wp:attachment":[{"href":"https:\/\/web3unplugged.io\/blog\/wp-json\/wp\/v2\/media?parent=21176"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/web3unplugged.io\/blog\/wp-json\/wp\/v2\/categories?post=21176"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/web3unplugged.io\/blog\/wp-json\/wp\/v2\/tags?post=21176"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}