Nvidia Revenue, Growth & Competitor Profile

Company Profile & Annual Report for Nvidia

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Nvidia Fast Facts

Revenue	Over $500 million    See Exact Annual Revenue
Employees	Over 1,000Exact Company Size
Primary Industry	541511 Custom Computer Programming & Software Development Services
Additional NAICS Codes	334413 Semiconductor Manufacturing
Address	2788 San Tomas Expressway Santa Clara, CA 95051

Nvidia's Annual Report & Profile shows critical firmographic facts:

• What is the company's size? (Annual sales and employees)
  • Nvidia's annual revenues are Over $500 million (see exact revenue data)
• What industry is the company in?
  • Nvidia is classified as operating in the Custom Computer Programming & Software Development Services industry, NAICS Code 541511.

Nvidia is a publicly traded company on NMS using the ticker symbol NVDA. Detailed information on company financials and operating reports can be found here: NMS: NVDA

Nvidia Annual Revenue and Growth Rate

Nvidia	Revenue Est. ($ Million)	Growth Rate (%)	# Employees
2023	Over $500 million Details in Premium Report
2022
2021
2020
2019

1-Year Growth Rate: 3-Year Growth Rate (CAGR):

Note: Nvidia's revenues are gauged from an analysis of company filings.

Trademark Applications

Trademark applications show the products and services that Nvidia is developing and marketing. Nvidia's new tradmarks suggest it is investing in R&D and marketing, while expanding into new products or markets. Trademarks may include brand names, product names, logos and slogans.

Trademark	Date
NVIDIA SOCKET DIRECT Computer hardware; computer peripherals; computer networking hardware; electronic adapters; computer networking adapters; embedded processors; integrated circuits, semiconductors and chips; host channel adapters; target channel adapters; computer networking switches; routers; backplanes; host bus adapters; downloadable software drivers; downloadable and recorded computer networking software; downloadable and recorded software for transmitting data among servers, computers and data storage devices; graphics processing units (GPUs); computer hardware for enabling connections among central processing units (CPUs), servers and data storage devices; computer hardware and downloadable and recorded software for enhancing the performance of artificial intelligence and machine learning software applications; peripheral component interconnect express (PCIe) expansion cards; network interface cards; network management interface hardware; computer buses; computer hardware that enables peripheral component interconnect express (PCIe) access to multiple central processing units (CPUs); computer hardware that enables bus access to multiple central processing units (CPUs)	11/06/2023
BLUEFIELD SUPERNIC Data processing units; computer chips; semiconductor chips; multiprocessor chips; computer switches; ethernet switches; computer data center switches; computer networking hardware; computer networking peripherals; communication and computer network hubs; cards and microprocessors for computers; graphics processing units (GPUs); integrated circuits; integrated circuits, semiconductors and computer chipsets; system on chip processors; embedded processors; servers; accelerator cards; network accelerators for artificial intelligence computing; downloadable and recorded network software; downloadable and recorded software for use in relation to data processing units and computer networking hardware for facilitating data transmission, data processing, data collection, data analysis, and decision-making; downloadable and recorded software and computer hardware for digital signal processing, managing, configuring, customizing, updating, monitoring and connecting radio access networks; computer hardware and downloadable and recorded software and firmware featuring artificial intelligence for use in the fields of edge computing, high performance computing, distributed computing, machine learning, automation controls, data collection, data analytics and internet of things; downloadable and recorded software, firmware, and computer hardware for edge computing, high performance computing, distributed computing, machine learning, automation controls, data collection, data analytics, and the internet of things; computer hardware and downloadable and recorded software for virtual private cloud (VPC) networking; computer hardware and downloadable and recorded software for remote direct memory access over converged Ethernet (RoCE) networking; data processing units that consist of high-performance, software-programmable, multi-core central processing units (CPUs), network interfaces and programmable acceleration engines to accelerate and offload artificial intelligence networking; data processing units for processing, analyzing, storing, transferring, organizing and managing artificial intelligence compute data in data centers; data processing units for enhancing the performance of artificial intelligence and machine learning applications; data processing units for compute and network virtualization; data processing units for use in the fields of artificial intelligence, machine learning, high performance computing, scientific computing, data center operations, computer networking, cloud-native supercomputing; data processing units that enable the secure transmission of compute data between servers for artificial intelligence workloads	10/26/2023
NVIDIA SPECTRUM-X Computer switches; Ethernet switches; Computer data center switches; Computer networking hardware; Computer networking peripherals; Communication and computer network hubs; Cards and microprocessors for computers; Graphics processing units (GPUs); Integrated circuits; Integrated circuits, semiconductors and computer chipsets; Downloadable software and computer hardware using artificial intelligence for machine learning, deep learning, natural language generation, statistical learning, supervised learning, un-supervised learning, data mining, predictive analytics, business intelligence and computer vision; Downloadable software for managing large scale data centers, data analysis, data storage, and storage system performance analysis; Downloadable software development tools; Downloadable software development kits (SDKs); Downloadable software for cloud infrastructure management and automation; Downloadable software and firmware for enabling electronic devices to share data and communicate with each other; Downloadable software for communication among central processing units (CPUs), graphics processing units (GPUs), data processing units (DPUs), and data storage systems; Downloadable software for collecting, transferring, moving, accessing, managing, monitoring and profiling data from central processing units (CPUs), graphics processing units (GPUs), data processing units (DPUs), and data storage systems; Downloadable software for modifying and enabling transmission of images, audio, audio visual and video content and data; Downloadable software for monitoring and managing data centers and cloud-based and virtualized computing environments; Downloadable software for processing, regulating, analyzing, and optimizing the transmission of data and information; Downloadable software for processing, regulating, analyzing, and optimizing the operation of computer servers, data storage systems, enterprise data centers, and cloud computing networks; Downloadable software for developing and implementing algorithms and computer programs in the fields of artificial intelligence, machine learning, deep learning, natural language generation, statistical learning, supervised learning, un-supervised learning, data mining, predictive analytics, and business intelligence	10/02/2023

See all trademarks and details in the Full Report.

Market Share of Nvidia's Largest Competitors

A competitive analysis shows these companies are in the same general field as Nvidia, even though they may not compete head-to-head. These are the largest companies by revenue. However, they may not have the largest market share in this industry if they have diversified into other business lines. The "Competition" section of a business plan or investment memorandum would start by analyzing the information about these companies. Competitive advantage comes from offering better pricing or superior products/service.

Company	Headquarters	Revenue ($ MM)
NVIDIA	Santa Clara, CA	100
INNOVA SOLUTIONS	Duluth, GA	80
COGNIZANT TECHNOLOGY SOLUTIONS U.S.	College Station, TX	32
CERNER	Kansas City, MO	12
CACI INTERNATIONAL	Reston, VA	9
WIPRO LIMITED	East Brunswick, NJ	6
SYNTEL	Troy, MI	5
GUSTO	San Francisco, CA	4
DELIV	Menlo Park, CA	4

Nearby Competitors

These companies are similar in business line and location to Nvidia. While some companies compete with neighboring businesses for customers, other companies may compete to attract skilled employees.

Company	Headquarters	Revenue ($ MM)
NVIDIA	Santa Clara, CA	100
HCL AMERICA SOLUTIONS	Santa Clara, CA	9
SERVICENOW	Santa Clara, CA	6
PALO ALTO NETWORKS	Santa Clara, CA	5
VERITAS TECHNOLOGIES	Santa Clara, CA	1
GLOBALLOGIC	Santa Clara, CA	1

Future Competition: Nvidia's Fastest Growing Competitors

These companies are in the same general field as Nvidia and are rapidly expanding. Companies may grow organically or through acquisition. In some cases apparently high growth rates may be caused by data that weren't available in previous years.

Company	Revenue ($ MM)