Between 2019 and 2023, oil and gas explorers and producers logged the highest total revenue worldwide, reaching *** trillion U.S. dollars. Life and health insurance carriers followed behind.

This statistic shows the top ten industries of high-growth companies in the United States as of 2016. In 2016, about **** percent of U.S.-based high-growth companies were specialized in information technology services.

In 2024, the finance, insurance, real estate, rental, and leasing industry contributed the highest amount of value to the GDP of the U.S. at 21.2 percent. The construction industry contributed around four percent of GDP in the same year.

Graph and download economic data for Value Traded of Top 10 Traded Companies to Total Value Traded for United States (DDAM01USA156NWDB) from 1998 to 2016 about market cap, companies, stock market, and USA.

As of January 2025, the most profitable industry in the United States was the tobacco industry, with a net profit margin of ***** percent. The profit margin of the entertainment software industry was not too far behind, with a net profit margin of *****.

The Company Research Services industry is composed of businesses that conduct research on management teams, strategic developments and the financial operations of companies in the private and public sectors. Company research services are predominantly catered toward financial institutions, such as asset managers, bankers, equity traders and sales departments. As a result, demand for company research services is tied to corporate profit and research budget levels. For much of the past five years, growth in both corporate profit and the number of businesses in the United States have fueled industry growth. Uncertainty in financial markets can also drive new demand for research services, as companies seek out additional information before making investments in the business environment. Consequently, industry revenue is projected to expand at a CAGR of 2.2% to $2.1 billion over the five years to 2023. Meanwhile, as corporate profit has increased, industry companies have been able to increase prices, supporting their own profit growth.While the past five years have overall been positive for the Company Research Services industry, industry operations were briefly disrupted in 2020 when the COVID-19 pandemic halted the US economy. Stringent safety restrictions and massive uncertainty caused corporate profit to fall, as many companies had to limit capital expenditures to avoid bankruptcy. Uncertainty fell as the pandemic passed in 2021, leading to higher spending from downstream markets. After a bumpy 2022 due to economic uncertainty, growth is expected to resume in 2023, with revenue expected to rise an estimated 3.1% in the year.The industry is expected to see continued strength over the five years to 2028. The industry is expected to benefit from growing demand from the finance and insurance industries, which account for the largest share of revenue. In particular, heightened regulation regarding risk management will prompt companies to invest in company research that will better inform decisions. Marketing services are also expected to expand over the five years to 2028 as companies develop tools to help corporate sales teams expand operations. Overall, industry revenue is expected to rise at an annualized rate of 1.8% to $2.3 billion over the five years to 2028.

The United States is home to some of the world's largest and most influential companies. Here are some of the largest companies in the United States by revenue:

1. Walmart: Walmart is the world's largest retailer, operating a chain of hypermarkets, discount department stores, and grocery stores. It is known for its low prices and wide selection of products.

2. Amazon: Amazon is a global e-commerce giant that sells a wide variety of products, including books, electronics, clothing, and groceries. It also provides cloud computing services through Amazon Web Services (AWS).

3. ExxonMobil: ExxonMobil is one of the world's largest oil and gas companies, engaged in exploration, production, refining, and marketing of petroleum products.

4. Apple: Apple is a technology company that designs, manufactures, and sells smartphones, computers, tablets, and other consumer electronics. It is known for its innovative products and user-friendly interface.

5. UnitedHealth Group: UnitedHealth Group is the largest health insurance company in the United States, offering a wide range of health insurance plans and health services.

6. Berkshire Hathaway: Berkshire Hathaway is a conglomerate holding company that owns a diverse range of businesses, including insurance, manufacturing, and retail. It is led by billionaire investor Warren Buffett.

7. CVS Health: CVS Health is a healthcare company that operates a chain of pharmacies and offers pharmacy benefits management services.

8. Alphabet: Alphabet is the parent company of Google, one of the world's largest technology companies. It also owns other subsidiaries, such as Waymo (self-driving cars) and YouTube.

9. Johnson & Johnson: Johnson & Johnson is a multinational healthcare company that manufactures and sells medical devices, pharmaceuticals, and consumer products.

10. JPMorgan Chase & Co.: JPMorgan Chase is a global financial services firm that offers a wide range of banking, investment, and financial services.

US Industry Data by State, by Industry

Number of Establishments, Sales, Payroll, and Employees

By Gary Hoover [source]

About this dataset

This data set provides a detailed look into the US economy. It includes information on establishments and nonemployer businesses, as well as sales revenue, payrolls, and the number of employees. Gleaned from the Economic Census done every five years, this data is a valuable resource to anyone curious about where the nation was economically at the time. With columns including geographic area name, North American Industry Classification System (NAICS) codes for industries, descriptions of those codes meaning of operation or tax status, and annual payroll, this information-rich dataset contains all you need to track economic trends over time. Whether you’re a researcher studying industry patterns or an entrepreneur looking for market insight — this dataset has what you’re looking for!

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How to use the dataset

This dataset provides detailed US industry data by state, including the number of establishments, value of sales, payroll, and number of employees. All the data is based on the North American Industry Classification System (NAICS) code for each specific industry. This will allow you to easily analyze and compare industries across different states or regions.

Research Ideas

• Analyzing the economic impact of a new business or industry trends in different states: Comparing the change in the number of establishments, payroll, and employees over time can give insight into how a state is affected by a new industry trend or introduction of a new service or product.
• Estimating customer sales potential for businesses: This dataset can be used to estimate the potential customer base for businesses in different geographic areas. By analyzing total business done by non-employers in an area along with its estimated population can help estimate how much overall sales potential exists for a given region.
• Tracking competitor performance: By looking at shipments, receipts, and value of business done across industries in different regions or even cities, companies can track their competitors’ performance and compare it to their own to better assess their strategies going forward

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: 2012 Industry Data by Industry and State.csv | Column name | Description | |:----------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------| | Geographic area name | The name of the geographic area the data is for. (String) | | NAICS code | The North American Industry Classification System (NAICS) code for the industry. (String) | | Meaning of NAICS code | The description of the NAICS code. (String) | | Meaning of Type of operation or tax status code | The description of the type of operation or tax status code. (String) ...

Top 50 Companies by Revenue (USD Millions)

Description : This dataset contains information on the largest companies in the world ranked by their revenue in USD millions. It includes key financial metrics and details about each company, making it a valuable resource for analysis and comparison.

This list comprises the world's largest companies by consolidated revenue, according to the Fortune Global 500 2024 rankings and other sources. American retail corporation Walmart has been the world's largest company by revenue since 2014. The list is limited to the largest 50 companies, all of which have annual revenues exceeding US$130 billion. This list is incomplete, as not all companies disclose their information to the media or general public. Out of 50 largest companies 23 are American, 17 Asian and 10 European.

Features :

• Rank: The rank of the company based on its revenue.
• Company_Name: The name of the company.
• Industry: The industry in which the company operates.
• Revenue (USD Millions): The total revenue of the company in millions of USD.
• Profit (USD Millions): The total profit of the company in millions of USD.
• Number of Employees: The total number of employees working for the company.
• Headquarters: The country where the company's headquarters is located.

Source : The data has been sourced from the Wikipedia page on List of Largest Companies by Revenue.

Usage : This dataset can be used for various analyses, including : - Financial performance comparisons across industries. - Visualization of the largest global companies. - Insights into employment statistics in relation to revenue.

Beginner-Friendly : This dataset is suitable for beginners looking to practice data analysis, data visualization, and financial comparisons. It provides a straightforward structure with easily understandable features, making it an excellent starting point for those new to data science.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for United States (DDAM02USA156NWDB) from 1998 to 2016 about market cap, companies, stock market, and USA.

Home care providers support the overall health and well-being of millions in the US annually. This number has been growing fast, expanding the scale and scope of home care providers in recent years. A rising number of adults 65 and older has been the primary driver behind this, as older adults are at a higher risk of developing a condition or experiencing an injury that limits their ability to perform tasks they once did independently. While changing demographic trends are an overarching trend impacting the health sector, the pandemic has permanently altered the industry's trajectory. Widespread outbreaks at residential facilities in the first year of the pandemic led more people to value remaining in their homes as they age; the interest in aging-in-place has only grown even as pandemic concerns have dissipated, as older adults look for options that provide safety and independence. In all, revenue has been expanding at a CAGR of 3.7% to an estimated $155.9 billion over the past five years, including expected growth of 3.2% in 2025. The mounting need for home care services and a shortage of home health aides create a mismatch between supply and demand that limits revenue growth. Shortages, preexisting the pandemic, have worsened as caregivers seek more flexible jobs with higher pay, creating increasingly high turnover that pressures providers to raise wages. Medicare and Medicaid reimbursements to home health agencies have been declining for several years, preventing home health agencies from raising salaries despite shortages. Clients eligible for home care services through insurance face long waits, leading more people to opt for self-directed care, where family members or friends work as caregivers. Too few caregivers prevent the industry from fully benefiting from rising demand and curtail profit growth. Trends driving growth in recent years will continue, providing various opportunities for home care providers. How home care providers capitalize on these trends will depend on insurer reimbursements and workforce development. Technology, ranging from wearables to telehealth, will have a more prominent role in the industry as providers look for ways to improve patient care while lessening the burden on staff. Regulatory and financial pressures will maintain consolidation activity, with private equity investment likely to expand. A significant headwind facing the industry will be the future of Medicare policies, the extent to which they cover home health and how states will react to Medicaid cuts in the Trump Administration's Big Beautiful Bill. Revenue will grow at a CAGR of 2.9% to an estimated $179.8 billion over the next five years.

Edge Computing Market Overview

Edge computing is a decentralized computing paradigm that processes data closer to its source, reducing latency and enhancing real-time decision-making. It offers improved security and privacy by keeping sensitive data local and finds applications in industries like manufacturing and healthcare.

However, it comes with challenges in managing distributed networks and ensuring uniform security. Many organizations use a hybrid approach, combining edge and cloud computing for optimal results.

The dataset contains a total of 25,161 rows, each row representing the stock market data for a specific company on a given date. The information collected through web scraping from www.nasdaq.com includes the stock prices and trading volumes for the companies listed, such as Apple, Starbucks, Microsoft, Cisco Systems, Qualcomm, Meta, Amazon.com, Tesla, Advanced Micro Devices, and Netflix.

Data Analysis Tasks:

1) Exploratory Data Analysis (EDA): Analyze the distribution of stock prices and volumes for each company over time. Visualize trends, seasonality, and patterns in the stock market data using line charts, bar plots, and heatmaps.

2)Correlation Analysis: Investigate the correlations between the closing prices of different companies to identify potential relationships. Calculate correlation coefficients and visualize correlation matrices.

3)Top Performers Identification: Identify the top-performing companies based on their stock price growth and trading volumes over a specific time period.

4)Market Sentiment Analysis: Perform sentiment analysis using Natural Language Processing (NLP) techniques on news headlines related to each company. Determine whether positive or negative news impacts the stock prices and volumes.

5)Volatility Analysis: Calculate the volatility of each company's stock prices using metrics like Standard Deviation or Bollinger Bands. Analyze how volatile stocks are in comparison to others.

Machine Learning Tasks:

1)Stock Price Prediction: Use time-series forecasting models like ARIMA, SARIMA, or Prophet to predict future stock prices for a particular company. Evaluate the models' performance using metrics like Mean Squared Error (MSE) or Root Mean Squared Error (RMSE).

2)Classification of Stock Movements: Create a binary classification model to predict whether a stock will rise or fall on the next trading day. Utilize features like historical price changes, volumes, and technical indicators for the predictions. Implement classifiers such as Logistic Regression, Random Forest, or Support Vector Machines (SVM).

3)Clustering Analysis: Cluster companies based on their historical stock performance using unsupervised learning algorithms like K-means clustering. Explore if companies with similar stock price patterns belong to specific industry sectors.

4)Anomaly Detection: Detect anomalies in stock prices or trading volumes that deviate significantly from the historical trends. Use techniques like Isolation Forest or One-Class SVM for anomaly detection.

5)Reinforcement Learning for Portfolio Optimization: Formulate the stock market data as a reinforcement learning problem to optimize a portfolio's performance. Apply algorithms like Q-Learning or Deep Q-Networks (DQN) to learn the optimal trading strategy.

The dataset provided on Kaggle, titled "Stock Market Stars: Historical Data of Top 10 Companies," is intended for learning purposes only. The data has been gathered from public sources, specifically from web scraping www.nasdaq.com, and is presented in good faith to facilitate educational and research endeavors related to stock market analysis and data science.

It is essential to acknowledge that while we have taken reasonable measures to ensure the accuracy and reliability of the data, we do not guarantee its completeness or correctness. The information provided in this dataset may contain errors, inaccuracies, or omissions. Users are advised to use this dataset at their own risk and are responsible for verifying the data's integrity for their specific applications.

This dataset is not intended for any commercial or legal use, and any reliance on the data for financial or investment decisions is not recommended. We disclaim any responsibility or liability for any damages, losses, or consequences arising from the use of this dataset.

By accessing and utilizing this dataset on Kaggle, you agree to abide by these terms and conditions and understand that it is solely intended for educational and research purposes.

Please note that the dataset's contents, including the stock market data and company names, are subject to copyright and other proprietary rights of the respective sources. Users are advised to adhere to all applicable laws and regulations related to data usage, intellectual property, and any other relevant legal obligations.

In summary, this dataset is provided "as is" for learning purposes, without any warranties or guarantees, and users should exercise due diligence and judgment when using the data for any purpose.

Monthly and long-term United States economic indicators data: historical series and analyst forecasts curated by FocusEconomics.

Collaborative Robots Market Overview

Collaborative robots, or cobots, are designed to work safely alongside humans, sharing workspace and performing tasks collaboratively. They feature advanced safety features like sensors for detecting obstacles and human contact, making them suitable for manufacturing, logistics, healthcare, agriculture, and more applications.

Cobots are known for their user-friendly programming and flexibility, allowing easy task reconfiguration and adaptability to changing needs. They offer advantages such as improved safety, increased productivity, cost-efficiency, and skill enhancement but face challenges related to payload and speed limitations, integration complexity, programming, initial investment costs, and security concerns.

Overall, cobots represent a valuable solution for industries seeking to incorporate automation while maintaining a collaborative and efficient work environment.

Retail Analytics Market Overview

Retail analytics involves collecting and analyzing data from various sources in retail operations. It helps retailers make informed decisions to improve their business performance, optimize inventory, and enhance customer experience.

By analyzing sales trends, customer behavior, and inventory levels, retailers can make better decisions about pricing, marketing, and supply chain management. This data-driven approach also aids in fraud detection, competitive analysis, and improving overall store layout and merchandising. Ultimately, retail analytics empowers retailers to stay competitive and profitable in today's dynamic market.

The industry has exhibited measured growth over the past five years, supported by steady activity among its largest downstream markets. Healthcare sectors, including hospitals and outpatient care facilities, have maintained consistent purchases because of strict sanitation requirements. School systems and educational institutions have also sustained demand for disinfectant products to meet health and safety guidelines. Food service businesses, ranging from restaurants to large-scale cafeterias, have routinely sourced disinfectants to satisfy hygiene standards imposed by local regulations. Economic activity in these industries has provided a reliable flow of orders, helping to stabilize demand for manufacturers. Contract cleaning services used in office buildings, government facilities and hospitality venues have served as additional consumption channels. Fluctuations in commercial real estate occupancy and restaurant foot traffic have occasionally influenced order volumes, but industry-wide shifts have not been dramatic over the past five years. Regulatory updates on chemical use and sanitation standards have indirectly bolstered demand in certain downstream industries, increasing their reliance on specialized disinfectant products. Over the past five years, sustained order flow from healthcare and educational institutions has fueled steady industry growth. Downstream buyers have prioritized compliance and reliability over cyclical cost variations, which has minimized the volatility experienced by producers. Healthcare users, dealing with mandatory sanitation rules, have remained less sensitive to price and more focused on consistency and stock availability. Commercial and institutional buyers in the cleaning and hospitality markets have mirrored this trend, although economic slowdowns have occasionally moderated bulk purchasing. Industry profit, meanwhile, has been constrained by the pace of wage growth among manufacturing workers, which increased operational expenses as companies competed for skilled labor. Input costs such as packaging materials, including plastic containers and closures, have played a key role in pressuring profit because of global supply chain tightness. Price increases for chemical feedstocks tied to oil and commodity costs have also contributed to cost pressures. Regulatory compliance requirements added another layer of expenses, particularly for products seeking approval under the US Environmental Protection Agency guidelines. Demand stability among downstream users has made up for some of these impacts, but overall profit has been diluted by elevated labor and material costs. Disinfectant Manufacturing industry revenue has been inching upward at a CAGR of 0.2% over the past five years and is expected to total $4.6 billion in 2025, when revenue will jump by an estimated 3.5%. The next five years will see revenue expansion as major downstream markets remain robust. Investment in new hospital construction and the renovation of existing medical buildings will increase requirements for advanced disinfectant solutions. Upgrades to ventilation and cleaning infrastructure in schools will drive enhanced purchasing of specialized disinfectants. US-based food processing and packaging plants, facing growing export and domestic demand, will rely on expanded sanitation protocols, supporting industry growth. Economic activity in building management and property maintenance will remain a steady source of bulk orders, especially as commercial properties update their health standards. Packaging manufacturers who supply disinfectant producers will continue to see orders rise as companies introduce new delivery formats such as wipes and sprays. Growth in the US restaurant and institutional food service industry will encourage greater consumption of surface and equipment disinfectants. Upward momentum in the healthcare sector, fueled by demographic changes and increased patient volumes, will require ongoing investment in cleaning products. Disinfectant Manufacturing industry revenue is expected to expand at a CAGR of 2.9% to $5.4 billion over the five years to 2030.

The Information sector creates and distributes media content to US consumers and businesses. The Information sector responds to trends in household formation, which influences subscription volumes to communications services and advertising expenditure, generating nearly one-fourth of sector revenue. Also, consumer incomes and spending habits influence the extent to which households purchase discretionary entertainment products. The Information sector also sells some products and services directly to businesses and is influenced to a lesser extent by trends in corporate profit and business sentiment. The accelerated pace of digital transformation has fueled industry growth. As remote work and online learning became the norm, demand for robust digital infrastructure and cloud services skyrocketed. This shift wasn't limited to cloud services alone; internet providers flourished, spurred by the advent of 5G technology. Through the end of 2025, sector revenue will expand at a CAGR of 2.4% to reach $2.5 trillion, including a boost of 2.0% in 2025 alone. Although consumer demand for media is generally steady and the Information sector has expanded consistently, revenue flows within the sector are uneven and determined by technology trends. Substantial expansion through the end of 2025 has stemmed from a proliferation of new consumer devices. However, most of the expansion has been concentrated on online publishing and data processing at the expense of more traditional information subsectors. For example, new digital channels have detracted from print advertising expenditures, which have declined during the current period and contributed to the curtailment of print publishing. The expansion of mobile devices and the emergence of online streaming services have made consumers less reliant on traditional communication services, such as wired voice, broadband internet and cable TV. Looking ahead, the information sector is poised for sustained growth over the next five years, fueled by rising consumer spending and private investment. As the economy recovers and interest rates stabilize, disposable incomes are poised to climb, allowing households to avail themselves of more digital subscriptions and services. The rollout of 5G will further augment mobile internet usage, potentially challenging wired broadband alternatives. Traditional media companies will continue to shift their focus to online platforms and streaming services, aiming to retain and expand their audience. Through the end of 2030, the Information sector revenue will strengthen at a CAGR of 2.4% to reach $2.8 trillion.

Smart Manufacturing Market Overview

Smart manufacturing companies are revolutionizing the manufacturing industry by incorporating advanced technologies like the Internet of Things (IoT), artificial intelligence (AI), big data analytics, robotics, and cloud computing to boost productivity and efficiency.

This interconnected system facilitates real-time monitoring, predictive maintenance, and data-driven decision-making, enhancing product quality and operational flexibility while lowering costs. It also supports sustainability by reducing waste and energy usage.

However, challenges such as system integration, data security, and skill gaps must be overcome. Manufacturers that adopt these innovations are better positioned to thrive in a dynamic market.

Industry growth has shifted toward select client segments, primarily driven by rising home prices and persistent affordability barriers. As wealthier homeowners substitute existing properties for larger or similarly sized homes, moving service providers are scaling solutions tailored to these market types. This targeted approach has helped companies expand operations and capture revenue growth, even as the industry has lost demand among lower-income households with high prices and low housing inventory. Many moving companies have responded by raising service prices, which affluent clientele are often willing to pay, supporting profit amid a more limited consumer base. Providers have pursued alternate growth avenues, notably in the college market, where students moving to off-campus apartments are becoming the norm. In response, businesses focus on smaller, flexible moving solutions for studio apartments, partnering with schools to secure recurring demand. Flex workspaces have prompted further adaptation, leading companies to develop scheduling models for coworking arrangements and temporary tenancies. Concerns about service quality have intensified, prompting a renewed focus on safety and protection of goods. While selective relocations have contributed to revenue gains, profit growth has remained regulated since 2020, reflecting the effects of segmented consumer bases. The industry revenue went up by a CAGR of 2.8% over the five years to 2025, with revenue reaching $23.4 billion and a 0.6% increase in 2025. The industry is poised to contend with a changing market landscape. Small and midsize business relocations require expanded operational capacity and services that accommodate specialized or heavier goods. Partnerships for senior relocations and targeting new teacher housing developments are expected to provide reliable growth channels in distinct regions. Military sector contract reforms suggest a more competitive environment, opening doors for smaller and regional movers to compete. Industry revenue is projected to grow at a CAGR of 1.5% over the five years to 2030, reaching $25.3 billion, as companies adapt and diversify offerings to capture selective demand across premium residential, college and business segments, while maintaining close attention to quality and service excellence.