Context

Nvidia Corporation is one of the largest developers of graphics processors and chipsets for personal computers and game consoles. The head office is in Santa Clara, California. NVIDIA Corporation does not have its own manufacturing facilities and therefore works according to the fabless principle.

The company was founded in January 1993 by Jen-Hsun Huang, Curtis Priem and Chris Malachowsky. In May 1995, Nvidia launched the NV1 (STG-2000), one of the first 3D accelerator processors (GPU). In January 1999, Nvidia was included in the NASDAQ (NVDA) and delivered the ten millionth graphics chip in the same year. In the Forbes Global 2000 of the world's largest companies, Nvidia ranks 572 (as of: 2017 financial year). The company had a market value of approximately US $155 billion in mid-2018.

Market cap: $4.400 Trillion USD

As of August 2025 NVIDIA has a market cap of $4.400 Trillion USD. This makes NVIDIA the world's most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

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Content

Geography: USA

Time period: Jan 1999- August 2025

Unit of analysis: NVIDIA Stock Data 2025

Variables

Variable	Description
date	date
open	The price at market open.
high	The highest price for that day.
low	The lowest price for that day.
close	The price at market close, adjusted for splits.
adj_close	The closing price after adjustments for all applicable splits and dividend distributions. Data is adjusted using appropriate split and dividend multipliers, adhering to Center for Research in Security Prices (CRSP) standards.
volume	The number of shares traded on that day.

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

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Historical and ongoing snapshots of NVIDIA Corporation (ticker: NVDA) market capitalization as displayed on Capital.com. The page shows a headline market cap with explicit as-of dating and provides a monthly history table; market cap is explained using the standard calculation (outstanding shares × current share price).

Nvidia Corporation is a multinational technology company headquartered in Santa Clara, California, United States. It was incorporated in Delaware,**United States in 1993**. Nvidia Corporation went public on January 22, 1999, and its shares began trading on NASDAQ Stock Market under the ticker symbol of NVDA. NVDA shares are also included as a component on several stock market indices, namely S&P 500, S&P 100 and NASDAQ-100. On November 6, 2020, NVDA stocks reached an all-time highest stock closing price of $582.48.

In 2002, Fortune magazine recognised Nvidia Corporation as the fastest-growing company in the US. NVDA entered in another acquisition in 2003 and bought-off MediaQ Inc. in a transaction of $70 million. Stanford Graduate School of Business Alumni Association named Nvidia Corporation as the Entrepreneurial Company of the Year in 2003. Nvidia GPUs powered all Academy Award Nominees in the category of Best Visual Effects 2010, which included Star Trek and Avatar.

In 2010, it also powered the world's fastest supercomputer at the time - China's Tianhe- 1A. The company made an acquisition in 2020 and purchased Mellanox Technologies, Ltd., a leading producer of networking products at the time, for a purchase price of $7 billion. As of 2021, the company has over 50 offices worldwide, including countries like Sweden, Denmark, Israel, Czech Republic, Poland, Russia, United Arab Emirates, Germany, France, Ukraine, Finland, Switzerland, and the United Kingdom, among others.

NVDA ranked 292nd on the list of Fortune 500 companies. It ranked 489th on Forbes' list of Global 2000 2020 companies. Forbes also included Nvidia Corporation in its 2020 rankings of World's Best Employers, America's Best Employers By State, and Best Employers for Diversity.

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Nvidia reported $4.36T in Market Capitalization this December 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 December in 2025.

In its 2025 fiscal year, Nvidia's revenue in the United States amounted to ***** billion U.S. dollars, a substantial jump from the ***** billion U.S. dollars seen in the previous fiscal year. Revenue in Taiwan amounted to ***** million U.S. dollars in the 2025 fiscal year, while China related revenue reached ***** billion U.S. dollars. Nvidia’s business overview Nvidia is a U.S. technology firm specializing in the design of graphics processing units (GPUs) for the gaming and professional markets, as well as system-on-chip units (SoCs). Headquartered in Santa Clara, California, the company was founded in 1993 by Jensen Huang who, following on from time spent as a microprocessor designer at Advanced Micro Devices (AMD), has been Nvidia’s president and CEO from the outset. Nvidia’s specialized markets In Nvidia’s 2025 fiscal year, the fourth quarter saw data center revenues climb to **** billion U.S. dollars, a surge that has seen it become the darling of stocks and a global leader in artificial intelligence (AI). Nvidia’s technologies and solutions are being deployed for accelerated computing and generative AI applications.

Nvidia stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Iraq Internet Usage: Device Vendor Market Share: Tablet: Nvidia data was reported at 0.000 % in 04 Apr 2024. This stayed constant from the previous number of 0.000 % for 03 Apr 2024. Iraq Internet Usage: Device Vendor Market Share: Tablet: Nvidia data is updated daily, averaging 0.100 % from Mar 2024 (Median) to 04 Apr 2024, with 9 observations. The data reached an all-time high of 0.100 % in 31 Mar 2024 and a record low of 0.000 % in 04 Apr 2024. Iraq Internet Usage: Device Vendor Market Share: Tablet: Nvidia data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Iraq – Table IQ.SC.IU: Internet Usage: Device Vendor Market Share.

When comparing the data segment revenues of Nvidia, AMD, and Intel, it is clear that Nvidia has experienced extraordinary growth. In the second quarter of the 2025 calendar year, Nvidia generated **** billion U.S. dollars through its data center segment, a part of the business that includes graphics processing unit (GPU) sales. GPUs are used to train and run various large language models, most notably ChatGPT, the one developed by OpenAI.

This dataset is just for personal, non-commercial purposes.

Overview

This dataset provides a comprehensive record of NVIDIA Corporation's (NVDA) daily stock prices over the last five years. NVIDIA, a prominent technology company known for its graphics processing units (GPUs), has experienced significant market activity, making its stock price data valuable for financial analysis, trading strategies, and market trend studies.

Data Fields

The dataset includes the following columns:

1. Date: The trading date (YYYY-MM-DD format).
2. Open: The price of the stock at market opening.
3. High: The highest price of the stock during the trading day.
4. Low: The lowest price of the stock during the trading day.
5. Close: The price of the stock at market close.
6. Adj Close: The adjusted closing price, accounting for dividends and stock splits.
7. Volume: The number of shares traded on that day.

Time Period

• Start Date: Five years prior from the current date (for example, if today's date is 2024-05-23, the dataset starts from 2019-05-23).
• End Date: The most recent trading day available in the dataset.

Data Source

The data is typically sourced from reliable financial database Yahoo Finance. It is crucial to ensure data accuracy and completeness for effective analysis.

Usage

This dataset can be used for: - Historical Analysis: Studying NVIDIA's stock performance over time. - Technical Analysis: Applying various technical indicators and chart patterns. - Machine Learning: Training models for stock price prediction. - Market Research: Understanding market trends and investor behavior. - Investment Strategies: Backtesting trading strategies to assess their performance.

Example Applications

• Trend Analysis: Identifying bullish or bearish trends in NVIDIA's stock price.
• Volatility Analysis: Measuring the stock's volatility and assessing risk.
• Correlation Studies: Examining the relationship between NVIDIA's stock price and other market variables.
• Event Impact Analysis: Analyzing the impact of company announcements, earnings reports, or macroeconomic events on the stock price.

Note

It is important to handle the data responsibly, considering market hours, holidays, and any corporate actions like stock splits or dividends that might affect the stock price. Adjustments for these factors are usually reflected in the "Adj Close" column to provide a more accurate historical comparison.

This dataset is ideal for analysts, investors, researchers, and students interested in financial markets, particularly in understanding the dynamics of a leading technology company's stock over a significant period.

Global Market Share by Key Players (2025)

Category	Industry Share (%)
Top 3 (Intel, AMD, NVIDIA)	55%
Rest of Top 5 (IBM, Ampere Computing)	20%
Emerging Players (Fujitsu, SiPearl, Tachyum)	15%
Niche Providers (RISC-V, Alibaba T-Head, Marvell)	10%

Tier-Wise Company Classification (2025)

Tier	Tier 1
Vendors	Intel, AMD, NVIDIA
Consolidated Market Share (%)	55%

Tier	Tier 2
Vendors	IBM, Ampere Computing, Fujitsu
Consolidated Market Share (%)	20%

Tier	Tier 3
Vendors	SiPearl, Tachyum, RISC-V players, Marvell
Consolidated Market Share (%)	25%

As of the first quarter of 2025, Intel was the biggest vendor in the PC GPU market worldwide, occupying ** percent of the market. Nvidia occupied ***percent of the market, while AMD took a market share of ***percent. PC GPUs Graphics processing units (GPUs) are specialized processors optimized for rendering all images on a computer. They are made available to consumers either as integrated or discrete components. Integrated graphics, where Intel dominates, refers to a computer where the GPU is built onto the same die as the central processing unit (CPU). In a discrete component, the GPU is not part of the CPU, but instead a standalone component. They can also be referred to as a graphics add-in-board (AIB), with Nvidia and AMD having the majority of the control of this market. GPUs for gaming A GPU provides the fastest graphics processing, and for gamers, the GPU is a standalone card plugged into the computer via a peripheral component interconnect express (PCIe). The more sophisticated the GPU, the higher the resolution, and the faster and smoother the motion. Improved frame rates, or the number of frames per second the game runs at, means there is less stutter or freezing due to excessive load on the CPU, enhancing the gaming experience. In smartphones, GPUs feature as part of a system-on-a-chip (SoC) and are also capable of rendering graphics in games, allowing developers to make better looking and more complex games for these devices too.

Context

Assume you work for a trading firm as an analyst. Your manager asks you to analyze the stock price of NVIDIA Corporation (Ticker NYSE: NVDA) and find out the following:

What caused the recent increase in the share price? Is there still potential for the stock price to go up?

In this case, what would you do?

1. Identify Potential Factors - Do some research to find out what factors affected the stock price rise. - Is it the company sales? Is it the company's expanding business? Is the entire sector performing well? Is it the entire stock market going up? - Several factors can affect the stock price increase based on your research and understanding of the company.

Once the factors are identified you can start collecting the data to do the analysis.

2. Collect the Data Once you have done your research and identified the factors that might have led to the price increase of NVDA stock, you can start collecting the data.

3. Relationship between the NVDA's Stock Price and Selected Factors After data is collected you may need a system that would tell you how the stock price of NVDA is influenced by each factor associated. You may not only want to know how are the fluctuations in the stock price but also quantify the fluctuations in the stock price for the changes in the quarterly sales number. You can build a linear regression model to understand this information.

4. Forecasting the future stock price Once you have built a linear model, you can create several scenarios to predict the stock price move with respect to the sales growth numbers. For example, simulate the stock price change given 0.5%, 1%, 1.5%, .... increase in sales number.

Identifying Potential Factors

Assume that after certain research, you were able to find out the following factors that has influenced the NVDA's stock price:

1. NVDA's sales growth
2. Dow Jones Industrial Average Index excess return
3. Advanced Micro Devices (AMD)'s stock excess return
4. Intel's stock excess return
5. Qualcomm's stock excess return
6. NVDA's stock excess return: We are interested in predicting the value for this variable.
7. Excess Return: Excess return is a return of a stock over and above the return of a risk-free rate such as Treasury Bills.

But, Why excess return?

Risk-Adjusted Performance: By investing in the stock market an investor takes additional risk compared to other risk-free assets. Hence, excess return helps the investor understand the risk premium earned for taking additional risk. This makes it a more accurate measure of how well a stock is performing relative to the additional risk taken.

Why competitor company's stock returns?

The stock prices/return of competitor companies can also affect the stock performance of NVDA due to some interconnected factors in the stock market:

- Earnings Report of Competitor Companies: If other companies are doing good in the same industry, it represents strong industry strength, and an investor can expect NVDA good results as the industry is doing good and start buying the shares which will have a positive impact on NVDA's share price. - Sector Trends: Companies within the same sector often move in the same direction due to sector-wise trends. If the competitor companies' share price rises due to some favourable conditions in the sector, NVDA's share price might also benefit due to positive sentiment in the sector.

Nvidia increased its share of the data center AI GPU market to **** percent in the first quarter of 2025. This coincided with the broadening availability of the company's Blackwell GPU architecture, which offers significant performance and efficiency gains over the prior-generation Hopper GPUs.

The Data Center GPU market is booming, projected to hit $96.5B in 2025 with a 35.5% CAGR through 2033. Driven by AI, cloud computing, and big data, key players like NVIDIA, AMD, and Intel are shaping this rapidly expanding sector. Learn more about market trends and forecasts.

The GPU Accelerated Server market is booming, driven by AI, ML, and big data. Explore market size, growth trends, key players (Dell, Nvidia, Supermicro), and regional analysis in our comprehensive report. Discover the opportunities and challenges shaping this rapidly evolving sector.

Global Integrated Graphics Processing Unit market size 2025 was XX Million. Integrated Graphics Processing Unit Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

In the third quarter of Nvidia's 2026 fiscal year, revenue from data centers amounted to 51.2 billion U.S. dollars. This is a dramatic increase from the 30.8 billion U.S. dollars the company generated in this segment in the same quarter of the previous fiscal year. Nvidia’s technologies are being deployed for accelerated computing and generative AI applications, notably ChatGPT. Nvidia’s move beyond gaming and into AI Nvidia’s solutions are being used to train and run various large language models, most notably the one developed by OpenAI. ChatGPT – which generates human-like responses to user queries within seconds – was trained using tens of thousands of Nvidia graphics processing units (GPUs), linked together in an AI supercomputer belonging to Microsoft. Nvidia’s competitors in the AI space include cloud providers Nvidia’s earnings have helped to strengthen the company’s position in the exclusive tech three trillion club, a ranking of companies based on market capitalization, putting Nvidia up alongside the likes of Apple and Microsoft. While fellow chipmakers AMD and Intel may seem the natural competitors to Nvidia’s AI crown, the major hyperscalers also pose a substantial threat to Nvidia going forward.

Global Graphic Card Test Software market size 2025 was XX Million. Graphic Card Test Software Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

The AI Inference GPU market is booming, projected to reach $89.4 billion by 2033 with a 25% CAGR. Discover key trends, leading companies (NVIDIA, AMD, Intel), and regional market share insights in this comprehensive market analysis.

The machine learning accelerator market is experiencing explosive growth, driven by the increasing demand for high-performance computing in diverse sectors. The market, estimated at $15 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching approximately $75 billion by 2033. This surge is fueled by several key factors. The proliferation of self-driving cars, necessitating advanced AI processing, is a major driver. Similarly, the financial services industry's reliance on machine learning for fraud detection and algorithmic trading is significantly boosting demand. The expansion of cloud computing and data centers, requiring robust infrastructure for machine learning workloads, further contributes to this growth trajectory. Technological advancements, such as the development of more powerful GPUs, TPUs, and FPGAs, are enabling faster and more efficient machine learning computations, thus accelerating market expansion. However, high initial investment costs for specialized hardware and a shortage of skilled professionals capable of developing and deploying machine learning solutions pose significant challenges to the market's growth. Furthermore, the complex nature of integrating these accelerators into existing systems can be a barrier for some organizations. Segment-wise, the GPU segment currently dominates the market owing to its established presence and versatility. However, the TPU and FPGA segments are expected to witness substantial growth due to their specialized architectures tailored for specific machine learning tasks. Geographically, North America holds a significant market share due to the presence of major technology companies and substantial investment in research and development. However, the Asia-Pacific region, particularly China and India, is anticipated to experience the fastest growth rate, fueled by rapidly expanding digital economies and increasing adoption of AI technologies across various industries. Key players such as NVIDIA, Intel, Google, and AMD are vying for market dominance through continuous innovation and strategic partnerships. The competitive landscape is further intensifying with the emergence of specialized AI chip startups focusing on niche applications and architectural innovations.