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Nvidia stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.
The price of NVIDIA shares traded on the Nasdaq stock exchange remained rather stable between July 2010 and January 2017. With the beginning of 2017, the price of NVIDIA shares started to increase, standing at 32.68 U.S. dollars per share in November 2021. Since then, the price of NVIDIA shares rose significantly and reached its highest value at 138.25 U.S. dollars as of the end of November 2024.
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Nvidia reported $18.05B in Current Liabilities for its fiscal quarter ending in January of 2025. Data for Nvidia | NVDA - Current Liabilities including historical, tables and charts were last updated by Trading Economics this last March in 2025.
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Nvidia reported $2.82T in Market Capitalization this March of 2025, considering the latest stock price and the number of outstanding shares.Data for Nvidia | NVDA - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last March in 2025.
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Nvidia stock is in correction territory, yet analysts remain optimistic about its long-term prospects, maintaining high price targets despite recent challenges.
In 2024, the global graphics processing unit (GPU) market was valued at 65.3 billion U.S. dollars, with forecasts suggesting that by 2029 this is likely to rise to 274.2 billion U.S. dollars, growing at a compound annual growth rate (CAGR) of 33.2 percent from 2024 to 2029.
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Exploring institutional investors' cautious engagement with Nvidia's fluctuating stock price and implications for future growth.
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The Graphics Processing Unit (GPU) Market Report is Segmented by Type (Discrete GPUs, Integrated GPUs, and Hybrid GPUs), Applications (Mobile Devices, Pcs and Workstations, Servers/Data Centers, Automotive/Self-driving Vehicles, Gaming Consoles, and Other Applications) and Geography (North America, Europe, Asia-Pacific, Australia and New Zealand, Latin America, and Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.
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73 Global import shipment records of Nvidia with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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The Report Covers Global Gaming GPU Market Growth & Analysis. The Market is Segmented by Type (Dedicated Graphic Cards, Integrated Graphics Solutions), Device (Mobile Devices, PCs & Workstations, Gaming Consoles, Automotive), and Geography (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa). The market size and forecasts are provided in terms of value (in USD million) for all the above segments.
In its 2025 fiscal year, Nvidia spent 12.9 billion U.S. dollars on research and development (R&D), an increase from the 8.7 billion U.S. dollars that was spent on R&D in 2024. The figure for 2025 is also the highest for the company. Nvidia’s journey into AI In the course of a decade, Nvidia CEO, Jensen Huang, has overseen the company’s move beyond gaming and into AI. Strong demand for data center products that are essential to generative AI has helped fuel the company’s successes. A notable example of Nvidia’s technologies being deployed to train and run a large language model is that of ChatGPT. Cloud providers are developing their own AI chips While fellow chipmakers AMD and Intel may seem the natural competitors to Nvidia in the AI space, the major cloud computing providers could pose another substantial threat to Nvidia going forward. Already, these firms are developing their own AI chips in a bid to cut into Nvidia's lead, as well as tapping into an ever-growing AI chip market. By developing AI chips in-house, firms can cut costs and reduce reliance on one specific supplier.
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Nvidia's unprecedented $3 trillion market surge, driven by AI advancements, faces new competitive and regulatory challenges, yet investor optimism persists as future growth is anticipated.
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The global GPU as a Service market size is expected to be valued at US$ 3,911.4 million in 2023. With the increase in the number of applications, coupled with increasing demand for IIoT, the overall demand for GPU as a Service is projected to grow at a CAGR of 40.8% between 2023 and 2033, totaling around US$ 119,643.4 million by 2032.
Data Points | Key Statistics |
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GPU as a Service Market Value 2023 | US$ 3,911.4 million |
GPU as a Service Market Projected Value (2033) | US$ 119,643.4 million |
GPU as a Service Industry CAGR (2023 to 2033) | 40.8% |
GPU as a Service Demand Analysis (2018 to 2022) Vs Market Outlook (2023 to 2033)
Historical CAGR % (2018 to 2022) | 38.7% |
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Forecast CAGR % (2023 to 2033) | 40.8% |
Region-wise Insights
Region | North America |
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Market Share % (2022) | 32.4% |
Region | Europe |
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Market Share % (2022) | 25.1% |
Report Scope
Report Attribute | Details |
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Growth Rate | CAGR of 40.8% from 2023 to 2033 |
Market Value in 2023 | US$ 3,911.4 million |
Market Value in 2033 | US$ 119,643.4 million |
Base Year for Estimation | 2022 |
Historical Data | 2018 to 2022 |
Forecast Period | 2023 to 2033 |
Quantitative Units | Revenue in US$ million and CAGR from 2023 to 2033 |
Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
Segments Covered |
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Regions Covered |
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Key Countries Profiled |
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Key Companies Profiled |
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According to Cognitive Market Research, the global GPU for AI market size will be USD 17581.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 30.60% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 7032.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 28.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 5274.36 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 4043.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 32.6% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 879.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 30.0% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 351.62 million in 2024 and will grow at a compound annual growth rate (CAGR) of 30.3% from 2024 to 2031.
The Natural Language Processing category is the fastest growing segment of the GPU for AI industry
Market Dynamics of GPU for AI Market
Key Drivers for GPU for AI Market
Reformation in the gaming sector will drive the market growth
The gaming industry has been significantly transformed by the graphic processing unit, which is one of the key technologies. The gaming industry has undergone a significant transformation as a result of the realistic environment, fluid gameplay, and immersive visuals. Both novice and experienced gamers may employ graphics processing units. NVIDIA, AMD GPUS, Voodoo, Intel, and GeForce are among the major market participants in the graphic processing unit market that are consistently expanding their capabilities in the gaming graphics sector. The GPU market is driven by the ongoing innovation in the field of gaming by the graphic processing unit.
Growing augmented reality and virtual reality to Drive Market Growth
From the gaming industry to the entertainment industry, the graphics processing unit is instrumental in the transformation of the digital world. It revolutionizes the industry through innovation and technology. The GPU technology for virtual and augmented reality is being prominently advanced by major key actors, which is gathering popularity among consumers, developers, and the entertainment industry. The growth of the graphic processing unit (GPU) market is being driven by the increasing integration of a graphic processing unit with virtual reality and augmented reality in applications.
Restraint Factor for the GPU for AI Market
Privacy concerns regarding data, will limit market growth
Companies must guarantee the security of user data in order to comply with the European Union's General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), which are becoming increasingly stringent. In addition to the compliance costs and constraints that these regulations may impose, GPU manufacturers and users are required to adhere to them. Ethical concerns regarding data privacy and discrimination may arise as a result of the utilization of GPUs in AI and deep learning. The potential consequences of biased algorithms or models that are trained on sensitive data include privacy violations and discriminatory outcomes, which can result in regulatory scrutiny and reputational harm.
Impact of Covid-19 on the GPU for AI Market
The GPU market for AI was significantly affected by the COVID-19 pandemic. Disruptions in supply chains and manufacturing processes were initially the result of the pandemic, resulting in hardware production delays and shortages. The consequence of this was an increase in prices and the inability to satisfy the increasing demand for AI servers and GPUs. Conversely, there was an increase in demand for AI technologies to resolve pandemic-related issues, including medical research, contact tracing, and remote work solutions, as businesses and organizations adjusted to the new normal. As a result of this heightened demand, the GPU market was able to recover and even expand, as companies made a greater investment in AI and machine learning capabilities to address the uncertainties resulting from the pandemic. Introduction of the GPU for AI Market
The GPU for ...
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Nvidia reported $24.74B in EBITDA for its fiscal quarter ending in January of 2025. Data for Nvidia | NVDA - Ebitda including historical, tables and charts were last updated by Trading Economics this last March in 2025.
Real-time GPU price tracking and historical market analysis of graphics card prices including RTX 4090, RTX 4080, and other popular models.
Real-time comparison data for graphics cards including specifications, benchmarks, and current market prices
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The forecast for the global Data Center GPU market predicts substantial growth, with market size projected to soar to USD 224.29 Billion by 2033, a significant increase from the USD 22.41 Billion recorded in 2024. This expansion reflects an impressive compound annual growth rate (CAGR) of 29.17% anticipated between 2025 and 2033.
The Global Data Center GPU market size to cross USD 224.29 Billion
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The Graphics Processing Unit (GPU) market is experiencing explosive growth, projected to reach a market size of $58.39 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 50.22%. This rapid expansion is fueled by several key drivers. The increasing demand for high-performance computing across diverse sectors, including gaming, artificial intelligence (AI), data centers, and high-resolution visual displays in consumer electronics, is a primary catalyst. Advancements in GPU architecture, leading to improved processing power and energy efficiency, further stimulate market growth. The proliferation of cloud computing and the rising adoption of machine learning algorithms are also significantly impacting the demand for GPUs, particularly high-end, specialized processing units. Furthermore, the integration of GPUs into mobile devices and other embedded systems is expanding the addressable market, creating new growth avenues. Segmentation reveals that integrated GPUs, while cost-effective for basic applications, are being surpassed by the growth of the discrete GPU segment, primarily driven by gaming and professional applications. The geographic distribution shows strong performance across North America, APAC (with China as a key driver), and Europe, reflecting global digital transformation initiatives. Competition is intense, with major players like NVIDIA, AMD, and Intel vying for market share through innovative product development and strategic partnerships. Despite the significant growth potential, certain restraints exist. The high cost of advanced GPUs and the increasing complexity of GPU manufacturing pose challenges to market expansion, particularly in price-sensitive segments. Supply chain disruptions and the dependency on specialized manufacturing processes also impact market stability. However, the long-term outlook remains overwhelmingly positive, given the sustained demand for GPU-accelerated computing across multiple industries and the ongoing innovation in GPU technology. Continued miniaturization, improved power efficiency, and the development of specialized GPUs tailored for specific applications will shape the future of this dynamic market. Companies are employing various competitive strategies including strategic acquisitions, R&D investments, and collaborations to secure their position within this rapidly evolving landscape.
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Nvidia stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.