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) ...

• The dataset consists of global companies' data sourced and enriched from LinkedIn, with multiple attributes specific to the company including current_technologies and total_funding
• The dataset can be useful for analysis of industry trends, company growth patterns, technology adoption, along with regression analysis to understand if any feature with continuous data can be expressed as a function of other independent variables.

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

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Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

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Comprehensive Use Cases for Financial Data:

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Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

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Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

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Tailored Solutions for Industry Professionals:

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What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly. While it was estimated at ***** zettabytes in 2025, the forecast for 2029 stands at ***** zettabytes. Thus, global data generation will triple between 2025 and 2029. Data creation has been expanding continuously over the past decade. In 2020, the growth was higher than previously expected, caused by the increased demand due to the coronavirus (COVID-19) pandemic, as more people worked and learned from home and used home entertainment options more often.

India Number of Registered Company data was reported at 1,171,230.000 Unit in 2018. This records a decrease from the previous number of 1,172,583.000 Unit for 2017. India Number of Registered Company data is updated yearly, averaging 152,036.000 Unit from Mar 1957 (Median) to 2018, with 62 observations. The data reached an all-time high of 1,172,583.000 Unit in 2017 and a record low of 26,682.000 Unit in 1962. India Number of Registered Company data remains active status in CEIC and is reported by Ministry of Corporate Affairs. The data is categorized under Global Database’s India – Table IN.OC001: Registered Company: At Work.

Japan JP: New Businesses Registered data was reported at 11,886.000 Number in 2014. This records an increase from the previous number of 9,857.000 Number for 2012. Japan JP: New Businesses Registered data is updated yearly, averaging 6,614.500 Number from Dec 2006 (Median) to 2014, with 8 observations. The data reached an all-time high of 11,886.000 Number in 2014 and a record low of 3,392.000 Number in 2006. Japan JP: New Businesses Registered data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations registered in the calendar year.; ; World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).; ; For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

Across industries, organizations are increasing their hiring efforts to build larger data science arsenals: from 2020 to 2021, the percentage of surveyed organizations that employed ** data scientists or more increased from ** percent to almost ** percent. On average, the number of data scientists employed in a organization grew from ** to **.

The World Bank Enterprise Surveys (WBES) are nationally representative firm-level surveys with top managers and owners of businesses in over 150 economies that provide insight into many business environment topics such as access to finance, corruption, infrastructure, and performance, among others. Data are used to create over 100 indicators that benchmark the business environment across the globe. Each country is surveyed every 3 years. In addition to country-level aggregated data, firm-level data are available to registered users on the Enterprise Surveys site at http://www.enterprisesurveys.org/.

According to Cognitive Market Research, the global business information service market size was USD 51245.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 6.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 20498.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 15373.56 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 11786.40 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 2562.26 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 1024.90 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.7% from 2024 to 2031.
The BFSI category is the fastest-growing segment of the business information service industry.

Market Dynamics of Business Information Services Market

Key Drivers for Business Information Services Market

Rising Need for Data-Driven Decisions to Boost Market Growth

The business information service market is increasing because the importance of data in the development of plans and effective operation is being recognized by more and more firms, which is driving demand for business information services to stay ahead of the competition in today's market, businesses need rapid and reliable information to see patterns in the market, analyze customer behavior, and improve internal operations. Moreover, to meet this demand, companies are investing in business intelligence solutions, reporting tools, and advanced analytics so that they can make better decisions that boost productivity and profits. Businesses are always searching for new ideas to improve their responsiveness, which is driving market growth. For instance, Infosys, a global leader in next-generation digital services and consulting, and IBM launched a global alliance to help businesses use the IBM public cloud to speed up their digital transformation. By using the IBM public cloud’s security, open innovation, and enterprise features, the partnership will help businesses, even those in highly regulated fields like healthcare, financial services, and insurance, move, update, and change their business workloads and apps.

Technological Advancements to Drive Market Growth

The business information service industry has been expanding at a steady rate, propelled by innovations in technology that improve the capacity to gather, analyze, and report on data. Companies can now swiftly handle massive volumes of data and get useful insights due to advancements in AI, ML, and big data analytics. Additionally, decision-makers find it easier to comprehend data because of the advent of visualization tools and dashboards that are easy to use. With the rise of cloud-based solutions, businesses are able to access analytics and data in real time, which improves collaboration and allows for more informed decision-making. Furthermore, businesses are better able to respond to shifting market conditions as a result of this technical growth, which in turn is leading to the business information service market expanding.

Restraint Factor for the Business Information Service Market

High Initial Investments Will Limit Market Growth

A major obstacle to market growth in the business information service sector is due to high starting costs for technology deployment and infrastructure development. Many businesses, particularly smaller and medium-sized ones, find the high prices of purchasing sophisticated software, hardware, and data analytics tools to be too much to bear. Additionally, a major obstacle in the business information service sector is the shortage of trained workers; many companies have trouble finding people who can properly analyze and understand complicated data. Further straining budgets are continuing expenditures associated with data protection, staff training, and system maintenance. The market's overall growth could be slowed due to the financial load.

Impact of Covi...

The Google Maps dataset is ideal for getting extensive information on businesses anywhere in the world. Easily filter by location, business type, and other factors to get the exact data you need. The Google Maps dataset includes all major data points: timestamp, name, category, address, description, open website, phone number, open_hours, open_hours_updated, reviews_count, rating, main_image, reviews, url, lat, lon, place_id, country, and more.

New businesses registered (number) in Samoa was reported at 86 number in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Samoa - New businesses registered - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

New businesses registered (number) in Croatia was reported at 15309 number in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Croatia - New businesses registered - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

New businesses registered (number) in Denmark was reported at 27333 number in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Denmark - New businesses registered - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

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Abstract

The World Bank Enterprise Survey (WBES) is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of topics related to the business environment including access to finance, corruption, infrastructure, competition, and performance.

Geographic coverage

National coverage

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The universe of inference includes all formal (i.e., registered) private sector businesses (with at least 1% private ownership) and with at least five employees. In terms of sectoral criteria, all manufacturing businesses (ISIC Rev 4. codes 10-33) are eligible; for services businesses, those corresponding to the ISIC Rev 4 codes 41-43, 45-47, 49-53, 55-56, 58, 61-62, 69-75, 79, and 95 are included in the Enterprise Surveys. Cooperatives and collectives are excluded from the Enterprise Surveys. All eligible establishments must be registered with the registration agency. In the case of Indonesia, registration are those establishments in possession of TDP (Company registration Certificate)/NIB (Business Identification Number). Both TDP and NIB are included as the implementation of the Omnibus Law on Job Creation from 2020 was being implemented and businesses were transitioning to the new definitions.

Kind of data

Sample survey data [ssd]

Sampling procedure

The WBES use stratified random sampling, where the population of establishments is first separated into non-overlapping groups, called strata, and then respondents are selected through simple random sampling from each stratum. The detailed methodology is provided in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-Consolidated-2-16-22.pdf). Stratified random sampling has several advantages over simple random sampling. In particular, it:

• produces unbiased estimates of the whole population or universe of inference, as well as at the levels of stratification
• ensures representativeness by including observations in all of those categories
• produces more precise estimates for a given sample size or budget allocation, and
• may reduce implementation costs by splitting the population into convenient subdivisions.

The WBES typically use three levels of stratification: industry classification, establishment size, and subnational region (used in combination). Starting in 2022, the WBES bases the industry classification on ISIC Rev. 4 (with earlier surveys using ISIC Rev. 3.1). For regional coverage within a country, the WBES has national coverage.

Note: Refer to Sampling Structure section in "The Indonesia 2023 World Bank Enterprise Survey Implementation Report" for detailed methodology on sampling.

Mode of data collection

Face-to-face [f2f]

Research instrument

The standard WBES questionnaire covers several topics regarding the business environment and business performance. These topics include general firm characteristics, infrastructure, sales and supplies, management practices, competition, innovation, capacity, land and permits, finance, business-government relations, exposure to bribery, labor, and performance. Information about the general structure of the questionnaire is available in the Enterprise Surveys Manual and Guide (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Enterprise-Surveys-Manual-and-Guide.pdf).

In addition to the standard set of questions administered to all respondents, the sample was randomly split with two different modules that cover different set of questions: Version A – B-Ready contains additional questions tailored for the Business Ready Report covering infrastructure, trade, government regulations, finance, labor, and other topics. Version B – Green Economy and Taxation covers questions with regards to taxes, green economy, and maternity policies.

The different modules in the dataset are reflected in variable q_version.

Response rate

Overall survey response rate was 41.2%.

Between 2023 and 2027, the majority of companies surveyed worldwide expect big data to have a more positive than negative impact on the global job market and employment, with ** percent of the companies reporting the technology will create jobs and * percent expecting the technology to displace jobs. Meanwhile, artificial intelligence (AI) is expected to result in more significant labor market disruptions, with ** percent of organizations expecting the technology to displace jobs and ** percent expecting AI to create jobs.

Abstract

The World Bank Enterprise Survey (WBES) is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of topics related to the business environment including access to finance, corruption, infrastructure, competition, and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

All formal (i.e., registered) private sector businesses (with at least 1% private ownership) and with at least five employees. In terms of sectoral criteria, all manufacturing businesses (ISIC Rev 4. codes 10-33) are eligible; for services businesses, those corresponding to the ISIC Rev 4 codes 41-43, 45-47, 49-53, 55-56, 58, 61-62, 69-75, 79, and 95 are included in the Enterprise Surveys. Cooperatives and collectives are excluded from the Enterprise Surveys. All eligible establishments must be registered with the commercial court of the regional commercial court. The universe table is the total number of eligible establishments, and the table is partitioned by the stratification groups (industry classification, establishment size, and subnational region) in a country.

Kind of data

Sample survey data [ssd]

Sampling procedure

The WBES use stratified random sampling, where the population of establishments is first separated into non-overlapping groups, called strata, and then respondents are selected through simple random sampling from each stratum. The detailed methodology is provided in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-Consolidated-2-16-22.pdf). Stratified random sampling has several advantages over simple random sampling. In particular, it:

• produces unbiased estimates of the whole population or universe of inference, as well as at the levels of stratification
• ensures representativeness by including observations in all of those categories
• produces more precise estimates for a given sample size or budget allocation, and
• may reduce implementation costs by splitting the population into convenient subdivisions.

The WBES typically use three levels of stratification: industry classification, establishment size, and subnational region (used in combination). Starting in 2022, the WBES bases the industry classification on ISIC Rev. 4 (with earlier surveys using ISIC Rev. 3.1). For regional coverage within a country, the WBES has national coverage.

Note: Refer to Sampling Structure section in "The Czechia 2024 World Bank Enterprise Survey Implementation Report" for detailed methodology on sampling.

Mode of data collection

Face-to-face [f2f]

Research instrument

The standard WBES questionnaire covers several topics regarding the business environment and business performance. These topics include general firm characteristics, infrastructure, sales and supplies, trade, management practices, competition, innovation, capacity, land and permits, finance, business-government relations, exposure to bribery, labor, and performance. Information about the general structure of the questionnaire is available in the Enterprise Surveys Manual and Guide (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Enterprise-Surveys-Manual-and-Guide.pdf).

Response rate

Overall survey response rate was 7.6%.

MATLAB led the global advanced analytics and data science software industry in 2025 with a market share of ***** percent. First launched in 1984, MATLAB is developed by the U.S. firm MathWorks.

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Snapshot img

Data Entry Outsourcing Services Market Size 2025-2029

The data entry outsourcing services market size is forecast to increase by USD 206.8 million, at a CAGR of 6% between 2024 and 2029.

Major Market Trends & Insights

APAC dominated the market and accounted for a 40% growth during the forecast period.
By the Type - E-commerce products segment was valued at USD 152.00 million in 2023
By the End-user - BFSI segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 73.92 million
Market Future Opportunities: USD 206.80 million 
CAGR : 6%
APAC: Largest market in 2023

Market Summary

The market continues to expand, driven by the increasing need for cost-effective solutions to manage growing data volumes and complexity. According to recent studies, the global data entry outsourcing market is projected to reach a value of USD27.6 billion by 2025, growing at a steady pace. This growth can be attributed to the ongoing automation of data entry processes and the adoption of cloud-based solutions, which enable businesses to outsource data entry tasks more efficiently. This trend is observed across various sectors, including finance, healthcare, retail, and IT, as businesses seek to streamline their operations and reduce operational costs.
Despite this growth, challenges such as data security concerns and the need for high data accuracy persist, making it essential for businesses to partner with reputable and experienced data entry service providers.

What will be the Size of the Data Entry Outsourcing Services Market during the forecast period?

Explore market size, adoption trends, and growth potential for data entry outsourcing services market Request Free Sample

Data entry outsourcing services have become an integral part of business operations, enabling companies to focus on core competencies without compromising data accuracy. According to recent reports, the market for these services currently accounts for over 15% of the global business process outsourcing industry. Looking ahead, growth is anticipated to exceed 10% annually, driven by the increasing demand for cost savings and efficiency gains. A comparison of key performance indicators highlights the significant impact of data entry outsourcing. For instance, companies can achieve up to 99% data entry accuracy, reducing errors and minimizing rework. Furthermore, turnaround times can be cut in half, ensuring swift project completion.
By outsourcing, businesses can also access a flexible workforce, allowing them to scale operations as needed. These improvements translate into substantial cost savings, with some estimates suggesting an average annual savings of 30% or more. This financial advantage, combined with the benefits of enhanced data security and improved quality, makes data entry outsourcing an indispensable solution for businesses seeking to optimize their operations.

How is this Data Entry Outsourcing Services Industry segmented?

The data entry outsourcing services industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  E-commerce products
  Invoices
  Customer orders
  Forms and documents
  Others


End-user

  BFSI
  IT and telecom
  Manufacturing
  Healthcare
  Others


Application

  Large enterprises
  Small and medium-sized enterprises


Customer Type

  Long-term contracts
  Short-term contracts


Geography

  North America

    US
    Mexico


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The e-commerce products segment is estimated to witness significant growth during the forecast period.

Data entry outsourcing services have gained substantial traction in various industries due to the increasing volume and complexity of data. According to recent estimates, the market for data entry services is projected to expand by 15.3% over the next five years, with the business process outsourcing (BPO) sector accounting for a significant share. One of the primary drivers of this growth is the adoption of advanced technologies, such as keystroke monitoring systems and workflow automation tools, which streamline data entry processes and enhance productivity. Furthermore, project management methodologies, data governance frameworks, and risk mitigation plans ensure data accuracy and security, making outsourced data entry services an attractive option for businesses.

Compliance regulations, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), have also fueled the demand for data entry services.