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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">turan</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник университета «Туран»</journal-title><trans-title-group xml:lang="en"><trans-title>Bulletin of "Turan" University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1562-2959</issn><issn pub-type="epub">2959-1236</issn><publisher><publisher-name>Университет «Туран»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.46914/1562-2959-2025-1-1-181-190</article-id><article-id custom-type="elpub" pub-id-type="custom">turan-4516</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ЭКОНОМИКА: ИСТОРИЯ, ТЕОРИЯ, ПРАКТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMY: HISTORY, THEORY, PRACTICE</subject></subj-group></article-categories><title-group><article-title>Развитие робототехнической индустрии Казахстана и мировые тенденции: проблемы и решения</article-title><trans-title-group xml:lang="en"><trans-title>Development of the robotics industry of Kazakhstan and global trends: problems and solutions</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5442-7913</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Орынбет</surname><given-names>П. Ж.</given-names></name><name name-style="western" xml:lang="en"><surname>Orynbet</surname><given-names>P. Zh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD., ассоц. профессор-исследователь</p><p>г. Алматы</p></bio><bio xml:lang="en"><p>PhD., Associate Research Professor</p><p>Almaty</p></bio><email xlink:type="simple">perizat.orynbet@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2595-8971</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Разакова</surname><given-names>Д. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Razakova</surname><given-names>D. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>к.э.н., PhD, ассоциированный профессор</p><p>г. Алматы</p></bio><bio xml:lang="en"><p>Candidate of Economics, PhD, Associate Professor</p><p>Almaty</p></bio><email xlink:type="simple">d.razakova@turan-edu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Университет «Туран»<country>Казахстан</country></aff><aff xml:lang="en">Turan University<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>24</day><month>03</month><year>2025</year></pub-date><volume>0</volume><issue>1</issue><fpage>181</fpage><lpage>190</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Орынбет П.Ж., Разакова Д.И., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Орынбет П.Ж., Разакова Д.И.</copyright-holder><copyright-holder xml:lang="en">Orynbet P.Z., Razakova D.I.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://vestnik.turan-edu.kz/jour/article/view/4516">https://vestnik.turan-edu.kz/jour/article/view/4516</self-uri><abstract><p>Развитие индустрии робототехники в Казахстане является важным фактором в промышленной модернизации и экономическом росте страны. Тем не менее Казахстан отстает от глобальных лидеров в области принятия роботов, плотности автоматизации и производства домашних робототехников. В этом исследовании рассматриваются проблемы, тенденции и решения для развития робототехники в Казахстане, проводя сравнения с глобальными показателями. Был проведен регрессионный анализ для оценки влияния плотности роботов, инвестиций в НИОКР, принятие искусственного интеллекта, перемещение труда и обучение STEM на производительность промышленности. Результаты показывают, что плотность роботов и инвестиции в области искусственного интеллекта значительно повышают производительность, но низкая рабочая сила STEM в Казахстане и слабые политические стимулы ограничивают рост автоматизации. Кроме того, связанное с автоматизацией перемещение труда представляет риски, что требует комплексных программ восстановления рабочей силы. Ключевые рекомендации включают в себя увеличение финансирования НИОКР в робототехнике как минимум до 1% ВВП, обеспечение налоговых льгот для инвестиций в автоматизацию, укрепление образования STEM и согласование политики робототехники с лучшими практиками. Казахстан также должен привлечь иностранные робототехники, создать правовую основу для ИИ и робототехники и разработать местную экосистему производства робототехники. Будущие исследования должны изучить долгосрочные последствия рынка труда на автоматизацию, анализ затрат и выгод инвестиций в робототехнику, промышленную автоматизацию, управляемую искусственным интеллектом, и проблемы с инфраструктурой. Внедряя стратегическую политику, Казахстан может ускорить принятие робототехники, повысить производительность промышленности и интегрироваться в глобальную высокотехнологичную экономику.</p></abstract><trans-abstract xml:lang="en"><p>The development of the robotics industry in Kazakhstan is an essential factor in the country’s industrial modernization and economic growth. However, Kazakhstan lags behind global leaders in robot adoption, automation density, and domestic robotics manufacturing. This study examines the challenges, trends, and solutions for robotics development in Kazakhstan, drawing comparisons with global benchmarks. A regression analysis was conducted to assess the impact of robot density, R&amp;D investment, AI adoption, labor displacement, and STEM education on industrial productivity. The results indicate that robot density and AI investments significantly boost productivity, but Kazakhstan’s low STEM workforce and weak policy incentives limit automation growth. Additionally, automation-related labor displacement poses risks, necessitating comprehensive workforce reskilling programs. Key recommendations include increasing robotics R&amp;D funding to at least 1% of GDP, providing tax incentives for automation investments, strengthening STEM education, and aligning robotics policies with global best practices. Kazakhstan must also attract foreign robotics firms, establish a legal framework for AI and robotics, and develop a local robotics manufacturing ecosystem. Future research should explore the long-term labor market effects of automation, cost-benefit analyses of robotics investments, AI-driven industrial automation, and infrastructure challenges. By implementing strategic policies, Kazakhstan can accelerate robotics adoption, enhance industrial productivity, and integrate into the global high-tech economy.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>индустрия робототехники</kwd><kwd>экономика</kwd><kwd>автоматизация и ИИ</kwd><kwd>промышленность 4.0</kwd><kwd>промышленная производительность</kwd><kwd>рабочая сила STEM</kwd><kwd>стратегия цифровизации</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Robotics Industry</kwd><kwd>Economy</kwd><kwd>Automation and AI</kwd><kwd>Industry 4.0</kwd><kwd>Industrial Productivity</kwd><kwd>STEM Workforce</kwd><kwd>Digitalization Strategy</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Бұл мақала Қазақстан Республикасы Ғылым және жоғары білім министрлігі Ғылым комитетінің BR24992947 «Жасанды интеллект негізінде Қазақстанның автокөлік өнеркәсібі кәсіпорындарын икемді роботтандыру және өнеркәсіптік автоматтандыру (RPA) үшін роботтарды, ғылыми-техникалық және бағдарламалық қамтамасыз етуді әзірлеу» тақырыбындағы мақсатты қаржыландыру бағдарламасы аясында орындалған.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Qiu S. et al. Deep learning techniques in intelligent fault diagnosis and prognosis for industrial systems: a review // Sensors. 2023. Vol. 23. No. 3. P. 1305.</mixed-citation><mixed-citation xml:lang="en">Qiu S. et al. Deep learning techniques in intelligent fault diagnosis and prognosis for industrial systems: a review // Sensors. 2023. Vol. 23. No. 3. P. 1305.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Al Noman M.A., Zhai L., Almukhtar F H., Rahaman M.F., Omarov B., Ray S., Wang C. A computer vision-based lane detection technique using gradient threshold and hue-lightness-saturation value for an autonomous vehicle // International Journal of Electrical and Computer Engineering. 2023. Vol. 13. No. 1. P. 347.</mixed-citation><mixed-citation xml:lang="en">Al Noman M.A., Zhai L., Almukhtar F H., Rahaman M.F., Omarov B., Ray S., Wang C. A computer vision-based lane detection technique using gradient threshold and hue-lightness-saturation value for an autonomous vehicle // International Journal of Electrical and Computer Engineering. 2023. Vol. 13. No. 1. P. 347.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Temirgaziyeva S., Omarov B. Traffic sign recognition with convolutional neural network // Scientific Journal of Astana IT University. 2022. P. 14–23.</mixed-citation><mixed-citation xml:lang="en">Temirgaziyeva S., Omarov B. Traffic sign recognition with convolutional neural network // Scientific Journal of Astana IT University. 2022. P. 14–23.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Faccio M. et al. Human factors in cobot era: a review of modern production systems features // Journal of Intelligent Manufacturing. 2023. Vol. 34. No. 1. P. 85–106.</mixed-citation><mixed-citation xml:lang="en">Faccio M. et al. Human factors in cobot era: a review of modern production systems features // Journal of Intelligent Manufacturing. 2023. Vol. 34. No. 1. P. 85–106.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Dzedzickis A. et al. Advanced applications of industrial robotics: New trends and possibilities // Applied Sciences. 2021. Vol. 12. No. 1. P. 135.</mixed-citation><mixed-citation xml:lang="en">Dzedzickis A. et al. Advanced applications of industrial robotics: New trends and possibilities // Applied Sciences. 2021. Vol. 12. No. 1. P. 135.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Galin R., Meshcheryakov R. Automation and robotics in the context of Industry 4.0: the shift to collaborative robots // IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2019. Vol. 537. No. 3. P. 032073.</mixed-citation><mixed-citation xml:lang="en">Galin R., Meshcheryakov R. Automation and robotics in the context of Industry 4.0: the shift to collaborative robots // IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2019. Vol. 537. No. 3. P. 032073.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Baimukhanov T. et al. Some aspects of robotization of the economy and creation of a robot manager // Journal of Economic Research &amp; Business Administration. 2021. Vol. 137. No. 3. P. 139–146.</mixed-citation><mixed-citation xml:lang="en">Baimukhanov T. et al. Some aspects of robotization of the economy and creation of a robot manager // Journal of Economic Research &amp; Business Administration. 2021. Vol. 137. No. 3. P. 139–146.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Daribay A., Serikova A., Ukaegbu I.A. Industry 4.0: Kazakhstani industrialization needs a global perspective // Procedia computer science. 2019. Vol. 151. P. 903–908.</mixed-citation><mixed-citation xml:lang="en">Daribay A., Serikova A., Ukaegbu I.A. Industry 4.0: Kazakhstani industrialization needs a global perspective // Procedia computer science. 2019. Vol. 151. P. 903–908.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Sotnik S., Lyashenko V. Modern industrial robotics industry. 2022.</mixed-citation><mixed-citation xml:lang="en">Sotnik S., Lyashenko V. Modern industrial robotics industry. 2022.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Ступина Е.Е. и др. Основы робототехники: учебное пособие для студентов вузов. – 2019.</mixed-citation><mixed-citation xml:lang="en">Ступина Е.Е. и др. Основы робототехники: учебное пособие для студентов вузов. – 2019.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Mamrayeva D.G., Toxambayeva A.B., Tashenova L.V. Industry digitalization in the Republic of Kazakhstan // Bulletin of the Karaganda university Economy series. 2022. Vol. 105. No. 1. P. 54–67.</mixed-citation><mixed-citation xml:lang="en">Mamrayeva D.G., Toxambayeva A.B., Tashenova L.V. Industry digitalization in the Republic of Kazakhstan // Bulletin of the Karaganda university Economy series. 2022. Vol. 105. No. 1. P. 54–67.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">George A.S., George A.S.H. Revolutionizing Manufacturing: Exploring the Promises and Challenges of Industry 5.0 // Partners Universal International Innovation Journal. 2023. Vol. 1. No. 2. P. 22–38.</mixed-citation><mixed-citation xml:lang="en">George A.S., George A.S.H. Revolutionizing Manufacturing: Exploring the Promises and Challenges of Industry 5.0 // Partners Universal International Innovation Journal. 2023. Vol. 1. No. 2. P. 22–38.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Javaid M., Haleem A., Singh R.P., Suman R., Javaid M. et al. Artificial intelligence applications for industry 4.0: A literature-based study // Journal of Industrial Integration and Management. 2022. Vol. 7. No. 01. P. 83–111.</mixed-citation><mixed-citation xml:lang="en">Javaid M., Haleem A., Singh R.P., Suman R., Javaid M. et al. Artificial intelligence applications for industry 4.0: A literature-based study // Journal of Industrial Integration and Management. 2022. Vol. 7. No. 01. P. 83–111.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Qazaqstan Respublikasy strategialyq josparlau jäne reformalar jönındegı agenttıgınıñ ūlttyq statistika bürosy. URL: https://www.stat.gov.kz/ (ötınış berılgen kün: 21.11.2024). (In Kazakh).</mixed-citation><mixed-citation xml:lang="en">Qazaqstan Respublikasy strategialyq josparlau jäne reformalar jönındegı agenttıgınıñ ūlttyq statistika bürosy. URL: https://www.stat.gov.kz/ (ötınış berılgen kün: 21.11.2024). (In Kazakh).</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Bhadra P., Chakrabort, S., Saha S. Cognitive IoT Meets Robotic Process Automation: The Unique Convergence Revolutionizing Digital Transformation in the Industry 4.0 Era. In Confluence of Artificial Intelligence and Robotic Process Automation. Singapore: Springer Nature Singapore, 2023, pp. 355–388.</mixed-citation><mixed-citation xml:lang="en">Bhadra P., Chakrabort, S., Saha S. Cognitive IoT Meets Robotic Process Automation: The Unique Convergence Revolutionizing Digital Transformation in the Industry 4.0 Era. In Confluence of Artificial Intelligence and Robotic Process Automation. Singapore: Springer Nature Singapore, 2023, pp. 355–388.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
