In its 2025 fiscal year, Nvidia's revenue from its Compute & Networking business segment amounted to about ***** billion U.S. dollars, whilst revenue from its Graphics segment amounted to **** billion U.S. dollars. Nvidia’s business segments The Compute & Networking segment includes data center platforms and systems for artificial intelligence (AI) and high-performance computing. The Compute & Networking segment also includes products that are being used in autonomous vehicles, robotics, and mobile devices. Meanwhile, Nvidia’s Graphics segment is aimed at specialized markets, including the GeForce series for gamers, as well as software products developed for cloud-based visual and virtual computing. Nvidia’s competitors Nvidia’s competitors in the GPU market include suppliers of both discrete and integrated graphics, with notable examples including AMD and Intel. Nvidia’s also faces competition from firms designing other accelerated computing solutions, particularly the growing number of startups specializing in AI chips, as well as larger tech firms like Alphabet, the parent company of Google, who are looking to innovate in the AI chips space through the development of their Tensor Processing Unit, or TPU.

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.

In fiscal year 2025, NVIDIA Corporation's revenue by geographical region are as follows: CHINA: $17.11 B, Other Americas: $7.88 B, SINGAPORE: $23.68 B, TAIWAN, PROVINCE OF CHINA: $20.57 B, UNITED STATES: $61.26 B.

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.

In the third quarter of Nvidia's 2026 fiscal year, the company's revenue rose to ** billion U.S. dollars. Nvidia's data center revenue, a segment that includes technologies that are being deployed for accelerated computing and generative AI applications, generated **** billion U.S. dollars.

View yearly updates and historical trends for NVIDIA Corp (NVDA) - Automotive Revenue. from United States. Source: Fiscal.ai. Track economic data with YCh…

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.

View yearly updates and historical trends for NVIDIA Corp (NVDA) - Data Center Revenue. from United States. Source: Fiscal.ai. Track economic data with YC…

View quarterly updates and historical trends for NVIDIA Corp (NVDA) - Professional Visualization Revenue. from United States. Source: Fiscal.ai. Track eco…

View yearly updates and historical trends for NVIDIA Corp (NVDA) - OEM & Other Revenue. from United States. Source: Fiscal.ai. Track economic data with YC…

View quarterly updates and historical trends for NVIDIA Corp (NVDA) - Gaming Revenue. from United States. Source: Fiscal.ai. Track economic data with YCha…

In its 2025 fiscal year, Nvidia recorded revenues of ***** billion U.S. dollars, up from the **** billion U.S. dollars in 2024. The figure for fiscal year 2025 is also the highest for the company as it reaps the rewards from the artificial intelligence (AI) boom.

Operating-Income Time Series for NVIDIA Corporation. NVIDIA Corporation, a computing infrastructure company, provides graphics and compute and networking solutions in the United States, Singapore, Taiwan, China, Hong Kong, and internationally. The Compute & Networking segment includes its Data Centre accelerated computing platforms and artificial intelligence solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms; and DGX Cloud computing services. The Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU or vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building and operating industrial AI and digital twin applications. It also customized agentic solutions designed in collaboration with NVIDIA to accelerate enterprise AI adoption. The company's products are used in gaming, professional visualization, data center, and automotive markets. It sells its products to original equipment manufacturers, original device manufacturers, system integrators and distributors, independent software vendors, cloud service providers, consumer internet companies, add-in board manufacturers, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.

In 2023, the high-density server graphics processing unit (GPU) market was valued at *** billion U.S. dollars. Comparatively, the dual to quad server GPU market was valued at **** billion U.S. dollars in that same year. All segments of the server GPU market are expected to grow considerably in the coming years.

Snapshot img

The GPU database market share should rise by USD 361.56 million from 2021 to 2025 at a CAGR of 17.82%.

This GPU database market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers market segmentation by deployment (on-premise and cloud) and geography (North America, Europe, APAC, South America, and MEA). The GPU database market report also offers information on several market vendors, including BlazingSQL Inc., Brytlyt Ltd., Hetero DB Co. Ltd., Jedox GmbH, Kinetica DB Inc., Neo4j Inc., NVIDIA Corp., OmniSci Inc., SQream Technologies Ltd., and Zilliz among others.

What will the GPU Database Market Size be in 2021?

To Unlock the GPU Database Market Size for 2021 and Other Important Statistics, Download the Free Report Sample!

GPU Database Market: Key Drivers and Trends

The massive data generation across various industries supporting the adoption of GPU accelerated tools is notably driving the GPU database market growth, although factors such as unavailability of enough technical expertise and domain knowledge may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the GPU database industry. The holistic analysis of the drivers will help in predicting end goals and refining marketing strategies to gain a competitive edge.

This GPU database market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.

Who are the Major GPU Database Market Vendors?

The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

BlazingSQL Inc.
Brytlyt Ltd.
Hetero DB Co. Ltd.
Jedox GmbH
Kinetica DB Inc.
Neo4j Inc.
NVIDIA Corp.
OmniSci Inc.
SQream Technologies Ltd.
Zilliz

The vendor landscape of the GPU database market entails successful business strategies deployed by the vendors. The GPU database market is fragmented and the vendors are deploying various organic and inorganic growth strategies to compete in the market.

To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

Download a free sample of the GPU database market forecast report for insights on complete key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.

Which are the Key Regions for GPU Database Market?

For more insights on the market share of various regions Request for a FREE sample now!

48% of the market’s growth will originate from North America during the forecast period. The US is the key market for GPU databases in North America.

The report offers an up-to-date analysis of the geographical composition of the market. North America has been recording a significant growth rate and is expected to offer several growth opportunities to market vendors during the forecast period. The growing demand for artificial intelligence (AI) will facilitate the GPU database market growth in North America over the forecast period. The report offers an up-to-date analysis of the geographical composition of the market, competitive intelligence, and regional opportunities in store for vendors.

What are the Revenue-generating Deployment Segments in the GPU Database Market?

To gain further insights on the market contribution of various segments Request for a FREE sample

The GPU database market share growth by the on-premise segment has been significant. This report provides insights on the impact of the unprecedented outbreak of COVID-19 on market segments. Through these insights, you can safely deduce transformation patterns in consumer behavior, which is crucial to gauge segment-wise revenue growth during 2021-2025 and embrace technologies to improve business efficiency.

This report provides an accurate prediction of the contribution of all the segments to the growth of the GPU database market size. Furthermore, our analysts have indicated actionable market insights on post COVID-19 impact on each segment, which is crucial to predict change in consumer demand.

    GPU Database Market Scope




    Report Coverage


    Details




    Page number


    120




    Base year


    2020




    Forecast period


    2021-2025




    Growth momentum & CAGR


    Accelerate at a CAGR of 17.82%




    Market growth 2021-2025


    $ 361.56 million

View quarterly updates and historical trends for NVIDIA Corp (NVDA) - Compute & Networking Revenue. from United States. Source: Fiscal.ai. Track economic …

According to Cognitive Market Research, the global data center accelerator market was XX million. Data Center Accelerator Industry's compound annual growth rate (CAGR) was XX% from 2024 to 2031.

A data center accelerator is a piece of hardware or software designed to analyze visual data and improve computer speed
Over the course of the projection period, Asia-Pacific is anticipated to grow at the highest CAGR of XX%. The increasing use of cloud-based services like big data analytics and the Internet of Things is responsible for the market expansion in the region
The global market for data center accelerators is divided into four segments based on type: FPGA (field-programmable gate array), ASIC (application-specific integrated circuit), GPU (graphics processing unit), and CPU (central processing unit). The market is most influenced by the CPU (central processing unit) segment. 
The worldwide data center accelerator market is divided into two segments based on application: artificial intelligence, high-performance computing, and other applications. The market share that is largest belongs to the artificial intelligence division.

Market Dynamics

Key Drivers of the Data Center Accelerator Market

AI's growing use in HPC data centers is driving the global market growth

Deep learning-based accelerators are becoming increasingly popular in high-performance computing (HPC) data centers controlled by corporations such as HP and Dell EMC, despite the chipmakers' tremendous efforts to manufacture accelerators. This is mostly because there is a greater need for AI-focused data centers as a result of growing customer data collecting and the uptake of AI-based services. By analyzing consumer behavior data from social media comments, CRM systems, and product reviews, AI may be able to offer customized services. HPC technologies, which incorporate AI and machine learning, have significantly changed a number of industries, including financial services, manufacturing, healthcare, oil and gas, research, and educational institutions. These programs are capable of doing complex computations and processing data at up to quadrillions of times per second. MemryX Inc., a trailblazing startup concentrating on expediting artificial intelligence (AI) processing for edge devices, declared in March 2023 that it has partnered with Cachengo, a top supplier of AI hardware and software, to be the sole supplier of AI processors for their modular compute and storage servers. CloudScene data of 110 countries with information available indicates that there were around 8,000 data centers worldwide as of January 2021. Six of these nations are home to the bulk of data centers: the United States (33% of total), the United Kingdom (5.7%), Germany (5.5%), China (5.2%), Canada (3.3%), and the Netherlands (3.4%) (see figure 1 below). Approximately 64% of them are in NATO member nations, while 77% are found in OECD member states. There are more than 2,600 data centers located all around the United States. In October 2022, Accenture and Google Cloud revealed plans to broaden their global partnership. These plans included a reaffirmed dedication to developing new data and artificial intelligence (AI) solutions, growing their respective talent pools, and offering improved support to clients looking to reinvent their businesses on the cloud and build a strong digital foundation. June 2022: To become a leading digital healthcare provider, Sanofi has created its first digital accelerator. The accelerator would produce goods and services to support Sanofi's goal of using digital, data, and artificial intelligence (AI) to change medicine.

Increased FPGA demand brings abundant opportunities for the market growth

Field Programmable Gate Arrays, or FPGAs, are prefabricated silicon devices that may be electrically programmed to become almost any digital system after they are manufactured. They can be constructed and then reprogrammed to meet the requirements of certain applications. They are a group of programmable interconnect-connected reconfigurable logic blocks (CLBs). Furthermore, because FPGA chips combine the greatest features of application-specific integrated circuits (ASICs) and processor-based systems, they are widely used in a wide range of industries. For low-to-medium volume productions, ASIC often takes a significant amount of time and financial resources to build the initial device. O...

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.

This is a beginner-friendly SQLite database designed to help users practice SQL and relational database concepts. The dataset represents a basic business model inspired by NVIDIA and includes interconnected tables covering essential aspects like products, customers, sales, suppliers, employees, and projects. It's perfect for anyone new to SQL or data analytics who wants to learn and experiment with structured data.

Tables and Their Contents:

Products:

Includes details of 15 products (e.g., GPUs, AI accelerators). Attributes: product_id, product_name, category, release_date, price.

Customers:

Lists 20 fictional customers with their industry and contact information. Attributes: customer_id, customer_name, industry, contact_email, contact_phone.

Sales:

Contains 100 sales records tied to products and customers. Attributes: sale_id, product_id, customer_id, sale_date, region, quantity_sold, revenue.

Suppliers:

Features 50 suppliers and the materials they provide. Attributes: supplier_id, supplier_name, material_supplied, contact_email.

Supply Chain:

Tracks materials supplied to produce products, proportional to sales. Attributes: supply_chain_id, supplier_id, product_id, supply_date, quantity_supplied.

Departments:

Lists 5 departments within the business. Attributes: department_id, department_name, location.

Employees:

Contains data on 30 employees and their roles in different departments. Attributes: employee_id, first_name, last_name, department_id, hire_date, salary.

Projects:

Describes 10 projects handled by different departments. Attributes: project_id, project_name, department_id, start_date, end_date, budget.

Why Use This Dataset?

• Perfect for Beginners: The dataset is simple and easy to understand.
• Interconnected Tables: Provides a basic introduction to relational database concepts like joins and foreign keys.
• SQL Practice: Run basic queries, filter data, and perform simple aggregations or calculations.
• Learning Tool: Great for small projects and understanding business datasets.

Potential Use Cases:

• Practice SQL queries (SELECT, INSERT, UPDATE, DELETE, JOIN).
• Understand how to design and query relational databases.
• Analyze basic sales and supply chain data for patterns and trends.
• Learn how to use databases in analytics tools like Excel, Power BI, or Tableau.

Data Size:

Number of Tables: 8 Total Rows: Around 230 across all tables, ensuring quick queries and easy exploration.

Explore the factors leading to a downturn in AI-linked tech stocks, with highlight on Nvidia's upcoming earnings and strategic industry shifts.