Nvidia in the AI Chip Market Competition: Based on SWOT Model and Financial Analysis
DOI:
https://doi.org/10.61173/k7jrw884Keywords:
NVIDIA, AI chip, SWOT analysis, financial analysisAbstract
The semiconductor industry is the core of the digital information age and the technological linchpin of global connectivity. Its technological innovation and application expansion represent the cutting edge of contemporary scientific and technological advancement. In recent years, with the rise and proliferation of artificial intelligence technologies, particularly generative AI, the global semiconductor technology industry is undergoing unprecedented transformation, giving rise to numerous industry giants and emerging players. Among these industry leaders, NVIDIA has leveraged its years of technological accumulation and strategic positioning in the GPU field to gain significant competitive advantages. It has emerged as a core participant in the new wave of AI, surging to become the world’s most valuable company by market capitalization. Its development trajectory and market performance have drawn widespread societal attention. This article focuses on NVIDIA’s data center business, analyzing its development trajectory and the characteristics of the AI chip industry. It employs a SWOT model to examine NVIDIA’s internal strengths and external environment, concluding with a summary of NVIDIA’s performance and financial status, providing an objective overview of its market position and current development. Through this analysis, NVIDIA is expected to maintain its market position by sustaining R&D investment, deepening its software ecosystem, optimizing supply chain management, and proactively addressing geopolitical challenges. This strategic approach positions the company to sustain high-growth momentum in the increasingly competitive AI chip market.
References
[1] Talati, D. (2021). Silicon minds: The rise of AI-powered chips. International journal of Science and Research Archive 1, (02):097-108.
[2] Wei, W., Zeng, Z., & Liu, L. (2025). From the DeepSeek breakthrough to see the innovation paradigm, challenges and responses of China’s artificial intelligence industry. Economic Review, (06), 102-114.
[3] Mišić, M. J., Đurđević, Đ. M., & Tomašević, M. V. (2012, May). Evolution and trends in GPU computing. In 2012 Proceedings of the 35th International Convention MIPRO. IEEE, pp. 289-294.
[4] Zhang, J. W. (2012). Research on the development strategy of NVIDIA Corporation. Master’s thesis, Lanzhou University.
[5] Pang, G. (2022). The AI chip race. IEEE Intelligent Systems, 37(2), 111-112.
[6] Evans, Gao, H. L., & Zhai, T. (2025). Analysis of the current status and competitive landscape of AI chip technology. Robot Industry, (03), 33–40.
[7] Li, W., & McKenzie, J. (2023). Moore’s Law may be touching physical and economic boundaries. World Science, (12), 51–55.
[8] Pang, W., Wang, J., & Weng, C. (2024). GPGPU and CUDA unified memory research status survey. Computer Engineering, 50(12), 1–15.
[9] Eastmoney. (2025, August 6). U.S. stock market pretrading: Three major index futures edge up, Li Auto surges over 6%. East money Finance. From https://stock.10jqka.com.cn/ usstock/20250806/c670170301.shtml
[10] Momoko, K. (2022). Taiwan’s TSMC as a focal point of US-China high-tech conflict. Asia-Pacific Review, 29(1), 5-12.
[11] Choquette, J., Gandhi, W., Giroux, O., Stam, N., & Krashinsky, R. (2021). Nvidia a100 tensor core gpu: Performance and innovation. IEEE Micro, 41(2), 29-35.
[12] Cargoson. (2024, July 10). How big is the AI market? Statistics and facts. Cargoson Blog. From https://www.cargoson. com/en/blog/how-big-is-the-ai-market-statistics Dean&Francis ISSN 2959-6130
[13] Dou, S. P. (2025, July 21). Starting from Jensen Huang’s visit to China: What does the Chinese market mean? Shanghai Securities News · China Securities Net. https://news.10jqka. com.cn/20250721/c669779333.shtml
[14] Kalera, G., Wane, D., & Esteves Dietzold, B. (2025). NVIDIA and the future of AI infrastructure: A financial and strategic analysis of a high-growth tech stock. Available at SSRN 5327765.
[15] NVIDIA. (2025, August 27). NVIDIA announces financial results for second quarter fiscal 2026. NVIDIA Newsroom. From https://nvidianews.nvidia.com/news/nvidia-announces-financialresults-for-second-quarter-fiscal-2026
[16] NVIDIA. (2025). Revenue by market quarterly trend (Q2 fiscal 2026). NVIDIA Investor Relations. From https://s201. q4cdn.com/141608511/files/doc_financials/2026/Q226/Rev_by_ Mkt_Qtrly_Trend_Q226.pdf
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