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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Scientific Research and Development. Economics</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Scientific Research and Development. Economics</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Научные исследования и разработки. Экономика</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="online">2587-9111</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">126019</article-id>
   <article-id pub-id-type="doi">10.12737/2587-9111-2026-14-3-15-23</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Региональная и отраслевая экономика</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>Regional and sectoral economy</subject>
    </subj-group>
    <subj-group>
     <subject>Региональная и отраслевая экономика</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Artificial Intelligence Chip Market Analysis</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Анализ рынка чипов для искусственного интеллекта</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Сибгатуллин</surname>
       <given-names>Б. А.</given-names>
      </name>
      <name xml:lang="en">
       <surname>Sibgatullin</surname>
       <given-names>B. A.</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Рудалева</surname>
       <given-names>И. А.</given-names>
      </name>
      <name xml:lang="en">
       <surname>Rudaleva</surname>
       <given-names>I. A.</given-names>
      </name>
     </name-alternatives>
     <bio xml:lang="ru">
      <p>кандидат экономических наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>candidate of economic sciences;</p>
     </bio>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Казанский (Приволжский) федеральный университет</institution>
    </aff>
    <aff>
     <institution xml:lang="en">Kazan (Volga) Federal University</institution>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2026-06-17T18:27:31+03:00">
    <day>17</day>
    <month>06</month>
    <year>2026</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-06-17T18:27:31+03:00">
    <day>17</day>
    <month>06</month>
    <year>2026</year>
   </pub-date>
   <volume>14</volume>
   <issue>3</issue>
   <fpage>15</fpage>
   <lpage>23</lpage>
   <history>
    <date date-type="received" iso-8601-date="2026-04-06T00:00:00+03:00">
     <day>06</day>
     <month>04</month>
     <year>2026</year>
    </date>
    <date date-type="accepted" iso-8601-date="2026-05-03T00:00:00+03:00">
     <day>03</day>
     <month>05</month>
     <year>2026</year>
    </date>
   </history>
   <self-uri xlink:href="https://zh-szf.ru/en/nauka/article/126019/view">https://zh-szf.ru/en/nauka/article/126019/view</self-uri>
   <abstract xml:lang="ru">
    <p>В последние годы чипы для искусственного интеллекта приобретают стратегическое значение для многих стран. Статья посвящена анализу мирового рынка полупроводников, предназначенные для решений задач искусственного интеллекта. Необходимость исследования данного рынка заключается в понимании структурных изменений в условиях технологической гонки между ведущими странами. В исследовании были рассмотрены основные типы чипов для искусственного интеллекта — GPU, ASIC, FGPA, NPU, их преимущества и недостатки. Проанализирована конкурентная среда, определены ключевые игроки и их рыночные доли. Использовались данные из финансовых отчетов компаний, документа Еврокомиссии для расчета индексов концентрации для выявления типа рынка по конкуренции. Была освящена мировая конкуренция на рынке чипов для искусственного интеллекта между США и Китаем, а также проанализировано состояние российского рынка чипов. Дан прогноз развития данного рынка на 10 лет, где приведены драйверы роста и сдерживающие факторы.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>In recent years, artificial intelligence chips have gained strategic importance for many countries. This article analyzes the global semiconductor market, focusing on devices designed to solve artificial intelligence problems. The need to study this market lies in understanding the structural changes occurring amidst the technological race between leading nations. The study examines the main types of AI chips – GPUs, ASICs, FGPA, and NPUs – along with their advantages and disadvantages. The competitive landscape is analyzed, identifying key players and their market shares. Data from companies’ financial reports and a European Commission document were used to calculate concertation indices and determine the market type based on competition. The article highlights the global competition in the AI chip market between the United States and China, and also analyzes the state of the Russian chip market. A 10-year forecast for the market’s development is provided, outlining growth drivers and restraining factors.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>искусственный интеллект</kwd>
    <kwd>чипы для ИИ</kwd>
    <kwd>GPU</kwd>
    <kwd>ASIC</kwd>
    <kwd>рыночные доли</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>artificial intelligence</kwd>
    <kwd>AI chips</kwd>
    <kwd>GPU</kwd>
    <kwd>ASIC</kwd>
    <kwd>market shares</kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <p></p>
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