Top 10 Data Science Companies in the USA: AI and ML Leaders

By Ankita Neogi

Updated Sep 27, 2026Published Jun 6, 202314 min read

The top data science companies in the USA include IBM, Microsoft, Amazon Web Services (AWS), Google Cloud, NVIDIA, Oracle, SAS, Databricks, Snowflake and Cloudera. These firms build the cloud platforms, analytics software, AI chips and machine learning tools that other businesses use to store, analyze and model data, and they are also among the largest employers of data scientists.

Note (September 2026): This list was first compiled in June 2023, and its company figures were re-checked against company reports and earnings releases in September 2026; several earlier revenue and headcount figures were wrong and have been corrected below. Since then, Cisco completed its acquisition of Splunk in March 2024, and Cloudera was taken private in 2021. Wipro is an Indian company. Some figures and descriptions below could not be verified, so check each company’s own reports before relying on them.

Computer science, statistics, and machine learning are all combined in the field of data science. Big Data has exploded as the internet-based world becomes our second home.

Data Science Companies In the USA – List of Top Data Science Companies In USA

The study of this large data in order to identify a useful pattern is known as data science. All firms are now looking to investigate this informational treasure trove to address issues that are already present. In addition, several organizations are looking ahead to improve and enhance the quality of life in the world.

Disclaimer: This list is curated from publicly available data, company reports and earnings releases, with figures checked as of September 2026. Company rankings may vary depending on criteria such as innovation, revenue, and market impact. Always cross-reference with official sources for the most accurate updates.

In this situation, taking online courses in data science is a terrific method to decide if this career path is suited for you. The top 10 data science businesses to work for if you want to advance your career will be covered in this article.

IBM

One of the most recognizable names in American data science is IBM. The company was established in 1911 and is today an international corporation with its corporate headquarters in Armonk, New York. IBM reported revenue of $67.5 billion for full-year 2025, up 8% year over year, according to its January 2026 earnings release, and had roughly 264,000 employees in 2025. (Its 2022 revenue was about $60.5 billion, not the $79 billion once projected here.) It offers cutting-edge services like AI-driven technology solutions, mainframe systems & platforms, cloud storage & computing, digital workplace services, and much more.

Additionally, the business offers blockchain-based initiatives for the automation of things like international payments. IBM is at the forefront of data science companies worldwide thanks to its investments in the field and the use of technology to enhance problem-solving approaches.

Microsoft

One of the biggest technology firms in the world, Microsoft has some of the top data scientists working for them. Bill Gates and Paul Allen created Microsoft, one of the biggest data science companies in the United States, in 1975. Microsoft employs about 223,000 people worldwide (2026) and is based in Redmond, Washington, which is home to the company’s global headquarters. Microsoft reported revenue of $331.8 billion for fiscal year 2026 (ended June 30, 2026), up 18% year over year, according to its earnings release; fiscal 2022 revenue was about $198.3 billion, not the $154.2 billion previously stated here. Microsoft has grown from a small software vendor into one of the world’s largest technology companies.

It provides a vast array of services, from web apps to data analytics solutions designed to assist clients in utilizing their data for improved decision-making and corporate expansion.

Amazon

Because it has invested much in developing the best Data Science technologies in the world, Amazon has completely changed the way people shop online. Amazon has consistently ranked among the best companies in data science since its founding as an online book retailer. As a result, Amazon is among the top employers for data scientists.

Amazon’s eCommerce division has been collecting data from all of its customers, which calls for highly qualified data scientists. It might not be a data science service provider, but its foundation lies in the comprehensive analysis of customer data.

A separate subsidiary is necessary to manage the large number of users and suppliers. Amazon Web Services (AWS) is Amazon’s cloud computing division. AWS reported $128.7 billion in sales in 2025, up 20% year over year, according to Amazon’s fourth-quarter 2025 results, and it has long been the largest cloud infrastructure provider by market share, ahead of Microsoft Azure and Google Cloud, according to industry analyst estimates.

SAS Institute

SAS Institute, an American analytics software company, was founded in 1976 by Anthony James Barr, James Goodnight, John Sall and Jane Helwig. Goodnight is CEO, and he and Sall own the privately held company. The company’s corporate office is in Cary, North Carolina, and SAS reported revenue of about $3.2 billion for 2022 (not the $5.92 billion previously stated here) and has reported more than $3 billion a year since, according to company figures summarized on Wikipedia. With customers in about 145 countries (a 2019 company figure) and roughly 12,200 employees globally (2025), SAS focuses primarily on the development of analytics software to offer services that empower businesses with decision-making tools that are driven by data. They seek to use data-driven insights to assist businesses in realizing their full potential through their Data Science Solutions, which include Data Visualization, Data Mining, Business Intelligence, and Machine Learning Platforms.

Oracle

Oracle, established in 1977, is one of the largest US software and cloud companies. Oracle moved its headquarters from Redwood Shores, California, to Austin, Texas, in December 2020, and in April 2024 it announced a planned move to Nashville, Tennessee. Oracle employed roughly 141,000 people as of mid-2026, according to company figures summarized on Wikipedia. Oracle reported total revenue of $57.4 billion for fiscal 2025 (ended May 31, 2025), up from $42.4 billion in fiscal 2022, across its software, cloud services and hardware businesses.

Oracle provides a range of data science-related products, including Data Visualization Cloud Service, which gives analysts strong visualization tools to quickly uncover insights, Machine Learning, which can extract unstructured and structured data from unidentified sources, Data Integration platform, which streamlines data transformation and loading, and Data Lake Management Cloud, which aids clients in creating smarter products.

Wipro

Wipro is one of India’s largest IT services and data science consulting firms. Wipro is headquartered in Bengaluru, India, not the USA, although it has been listed on the New York Stock Exchange (ticker WIT) since 2000, serves many US clients, and reported revenue of about US$10 billion for fiscal 2026. Data Science is just one of the many services that Wipro offers, along with artificial intelligence, cloud computing, robots, and other technologies.

Modern business solutions are offered by their services to give clients additional sources of income. Wipro makes an effort to foster a collaborative work atmosphere. Wipro supports team collaboration with non-Data Science professionals.

Wipro excels in developing a revenue plan for its clients with tools like the Data Science Acceleration Platform and IQNxt.

Airbnb

Airbnb, founded in San Francisco in 2008 by Brian Chesky, Nathan Blecharczyk and Joe Gebbia, is an online marketplace for short-term accommodations; it reported revenue of about $12.2 billion in 2025. This company has raised the bar for vacations and homestays. Airbnb is a California-based business that serves as an online marketplace for homeowners looking to rent out their space and tourists looking for a less expensive alternative to a hotel.

Numerous data scientists work with Airbnb in a variety of departments, including guest experience and finance. Additionally, they provide platforms through which data scientists can impart their expertise. Therefore, working here can help you gain experience in several Data Science domains.

A workforce that is highly trained and open to experimenting is needed to manage the enormous databases that are kept for the landlords and the tenants. Airbnb is often cited as a strong employer for data scientists and analysts, although whether it is the right fit depends on the role, team and location.

Cloudera

Cloudera, founded in 2008 and headquartered in Santa Clara, California, is a hybrid data platform company. Cloudera merged with Hortonworks in January 2019 and has been privately owned by KKR and Clayton, Dubilier & Rice since an approximately $5.3 billion take-private deal closed in October 2021. The platform uses Apache Hadoop to enable deep data processing in addition to data storage.

A scalable data storage option that can manage analytical and machine learning workloads is the CDP private cloud. Additionally, Cloudera’s operational database has made database management simpler while creating solutions that are future-proof.

They specialize in working with big data, therefore if you work here you’ll have to concentrate on machine learning and data management platforms.

Splunk

Splunk, founded in 2003, is an American data monitoring, security and observability software company. Splunk has been a subsidiary of Cisco since Cisco completed its roughly $28 billion all-cash acquisition on March 18, 2024. Splunk’s core platform is designed to turn machine data, such as logs and metrics, into practical action. With Splunk, you can search both structured and unstructured data. The user can work safely thanks to the central data platform.

For smaller institutions looking to access possible dangers, Splunk Insight is a capable piece of software. Splunk Industrial Asset Intelligence, on the other hand, is a technology that is mostly utilized by industries.

The business, which is among the top suppliers of data science solutions, offers a variety of products that can assist businesses in making better decisions based on their data. Additionally, Splunk has numerous research projects centered on machine learning, artificial intelligence, and predictive analytics.

Spin

Spin was described in the original version of this article as a US-based data science business offering data optimization services to clients. As of September 2026, Justwebworld could not verify this company’s founding date, revenue or headcount in company filings or reliable press coverage, so the earlier claims of a 2021 founding and $1.2 billion in revenue by 2022 should be treated as unverified.

The original article also stated, without a verifiable source, that more than 500 analysts, data engineers, and developers work for Spin, all of whom are committed to assisting their clients in making sense of their data. This could take many different shapes, such as developing predictive models or seamlessly fusing new solutions with current systems.

What Is a Data Science Company?

A data science company is a business that makes money by helping organizations collect, store, analyze and model data, or by building products that depend on large-scale data analysis. Data science companies range from cloud providers and analytics software vendors to AI chipmakers and consulting firms.

Some firms on this list, such as SAS, Databricks and Snowflake, sell data and analytics software directly. Others, such as Amazon and Airbnb, are data-driven product companies that employ large data science teams to run recommendations, pricing, search and fraud detection. For a wider look at how analytics feeds business decisions, see this guide on how data science and business analytics shape businesses.

Top Data Science Companies in the USA at a Glance

The table below summarizes the companies covered on this page, with the latest verified figures as of September 2026. Fiscal years differ by company, so revenue figures are not directly comparable.

How Were These Data Science Companies Chosen?

The companies on this page were chosen for their influence on how data science is practiced: the platforms, software and hardware data scientists use every day, and the size of their data teams. The ranking is editorial, not a formal index, and a different weighting (revenue, growth, employee reviews or innovation) would produce a different order.

The summary table and the company profiles do not cover exactly the same firms. The table adds Google Cloud, Databricks, Snowflake, TIBCO, NVIDIA and Fractal Analytics, while the profiles also cover Oracle, Wipro, Airbnb, Cloudera, Splunk and Spin. Two of the names are not US-headquartered: Wipro is based in Bengaluru, India, and Fractal Analytics has dual headquarters in Mumbai and New York and listed its shares on India’s National Stock Exchange and BSE on February 16, 2026.

Which data science companies changed ownership recently?

• Splunk: acquired by Cisco for about $28 billion in cash; the deal closed on March 18, 2024.
• Cloudera: taken private by KKR and Clayton, Dubilier & Rice in a deal of about $5.3 billion that closed in October 2021.
• TIBCO: bought by Vista Equity Partners in 2014 and combined with Citrix in September 2022 to form Cloud Software Group.
• Fractal Analytics: moved from private company to publicly listed company in India in February 2026.
• SAS Institute: still private; SAS has said it is preparing for a possible initial public offering but has not set a date.

Types of Data Science Companies

Data science companies in the USA fall into five broad groups. Knowing the group helps job seekers and buyers set expectations about the work and the products.

• Cloud platform providers: AWS, Microsoft Azure and Google Cloud supply storage, computing power and managed machine learning services such as Amazon SageMaker, Azure AI and Google’s Vertex AI. Our list of top cloud computing companies in the USA covers this group in more depth.
• Data and analytics platforms: Databricks, Snowflake, Cloudera and Oracle provide data warehouses, lakehouses and databases that data teams query and model.
• Analytics software vendors: SAS, TIBCO (Spotfire) and Splunk sell statistical, visualization and monitoring software.
• AI hardware makers: NVIDIA designs the GPUs and software libraries used to train and run most large machine learning models.
• Services and consulting firms: IBM Consulting, Wipro and Fractal Analytics build data and AI solutions for client organizations.

How to Choose a Data Science Company to Work For

The best data science employer depends on the kind of work a candidate wants. A cloud provider offers scale and infrastructure problems, a product company offers direct impact on users, and a consulting firm offers variety across industries.

1. Match the role to the business model. Product companies such as Airbnb and Amazon hire data scientists for experimentation and modeling; platform companies also hire for engineering-heavy roles.
2. Check the data stack. Job listings usually name the tools in use, such as Python, SQL, Spark, Snowflake or Databricks, so candidates can see what they would learn.
3. Look at company stability. Recent acquisitions, take-private deals and layoffs can change teams quickly, so check recent news and earnings reports.
4. Weigh growth and mentoring. Larger firms tend to offer structured training; smaller specialists can offer broader responsibility earlier.

For career planning, see the top data science career paths and how to get there and how artificial intelligence is changing career paths and job skills.

What Skills Do Data Science Companies Look For?

Data science companies generally look for programming, statistics, machine learning and communication skills. According to the US Bureau of Labor Statistics, data scientists typically need at least a bachelor’s degree in mathematics, statistics, computer science or a related field, and some employers prefer a master’s or doctoral degree.

• Programming: Python and SQL are the most common requirements; R remains common in statistics-heavy roles.
• Statistics and machine learning: regression, classification, experimentation and model evaluation.
• Cloud and data platforms: familiarity with AWS, Azure, Google Cloud, Databricks or Snowflake.
• Communication: turning analysis into clear recommendations for non-technical teams.

More detail is in this guide to the key competencies a data scientist needs, and candidates weighing further study can review the benefits of a master’s in data science online.

Data Scientist Job Outlook in the USA

Data scientist employment in the USA is projected to grow 35% from 2025 to 2035, much faster than the average for all occupations, according to the US Bureau of Labor Statistics Occupational Outlook Handbook. The BLS reports a median annual wage of $120,230 for data scientists as of May 2025, about 275,600 jobs in 2025, and roughly 24,800 openings a year on average over the decade.

Pay varies widely by employer, location and seniority, so the BLS median is a reference point rather than a typical offer at any single company on this list.

Written byAnkita Neogi

Ankita Neogi has published 791 articles on Justwebworld since 2020, mostly covering Food, Mind and People.

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