Comparative Competitive Analysis of Generative AI Chatbots in Russia and Worldwide

V. V. Vertogradov () and S. V. Shchelokova
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V. V. Vertogradov: Moscow State University
S. V. Shchelokova: Moscow State University

Studies on Russian Economic Development, 2025, vol. 36, issue 5, 643-652

Abstract: Abstract This article analyzes the level of competition observed among generative LLM chatbots in 2023–2024. The study is based on chatbot search traffic data and competitive analysis methods, such as SV matrix and HHI, L, CR, and HT indices. It is found out that the global market remains highly concentrated, with ChatGPT as the dominant product. However, the market share of ChatGPT is dropping, while the market shares of its rivals are rising. In Russia, the most popular chatbot is Gigachat and the users actively use services offering access to foreign models. The market exhibits a highly dynamic movement and a significant influence of technology innovations, models accessibility, and other factors on the competitive situation.

Keywords: competition; domination; SV (strength-variety) matrix; neural networks; generative artificial intelligence (GAI); large language models (LLM); chatbots; ChatGPT; GigaChat (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1134/S1075700725700376

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