In 2023, there were estimated to be over ****** million companies operating worldwide, of which over *** million were in Asia, ** million were in Africa, and ** million were in Europe.

This table contains 2736 series, with data starting from 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Business dynamics measure (16 items: Number of active employer businesses in the private sector; Number of entrants; Number of incumbents; Number of exits; ...) North American Industry Classification System (NAICS) (19 items: Private sector; Agriculture, forestry, fishing and hunting; Mining, quarrying, and oil and gas extraction; Utilities; ...) Firm size (9 items: Private sector; From 0 to less than 100 employees; From 0 to less than 50 employees; Less than 5 employees; ...).

CZ: Start-Up Procedures to Register a Business: Female data was reported at 9.000 Number in 2019. This stayed constant from the previous number of 9.000 Number for 2018. CZ: Start-Up Procedures to Register a Business: Female data is updated yearly, averaging 9.000 Number from Dec 2003 (Median) to 2019, with 17 observations. The data reached an all-time high of 10.000 Number in 2007 and a record low of 8.000 Number in 2017. CZ: Start-Up Procedures to Register a Business: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.World Bank.WDI: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.;World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme;Unweighted average;Data are presented for the survey year instead of publication year.

Big Data and Business Analytics Market Outlook

In 2023, the global Big Data and Business Analytics market size is estimated to be valued at approximately $274 billion, and with a projected compound annual growth rate (CAGR) of 12.4%, it is anticipated to reach around $693 billion by 2032. This significant growth is driven by the escalating demand for data-driven decision-making processes across various industries, which leverage insights derived from vast data sets to enhance business efficiency, optimize operations, and drive innovation. The increasing adoption of Internet of Things (IoT) devices, coupled with the exponential growth of data generated daily, further propels the need for advanced analytics solutions to harness and interpret this information effectively.

A critical growth factor in the Big Data and Business Analytics market is the increasing reliance on data to gain a competitive edge. Organizations are now more than ever looking to uncover hidden patterns, correlations, and insights from the data they collect to make informed decisions. This trend is especially prominent in industries such as retail, where understanding consumer behavior can lead to personalized marketing strategies, and in healthcare, where data analytics can improve patient outcomes through precision medicine. Moreover, the integration of big data analytics with artificial intelligence and machine learning technologies is enabling more accurate predictions and real-time decision-making, further enhancing the value proposition of these analytics solutions.

Another key driver of market growth is the continuous technological advancements and innovations in data analytics tools and platforms. Companies are increasingly investing in advanced analytics capabilities, such as predictive analytics, prescriptive analytics, and real-time analytics, to gain deeper insights into their operations and market environments. The development of user-friendly and self-service analytics tools is also democratizing data access within organizations, empowering employees at all levels to leverage data in their daily decision-making processes. This democratization of data analytics is reducing the reliance on specialized data scientists, thereby accelerating the adoption of big data analytics across various business functions.

The increasing emphasis on regulatory compliance and data privacy is also driving growth in the Big Data and Business Analytics market. Strict regulations, such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States, require organizations to manage and analyze data responsibly. This is prompting businesses to invest in robust analytics solutions that not only help them comply with these regulations but also ensure data integrity and security. Additionally, as data breaches and cybersecurity threats continue to rise, organizations are turning to analytics solutions to identify potential vulnerabilities and mitigate risks effectively.

Regionally, North America remains a dominant player in the Big Data and Business Analytics market, benefiting from the presence of major technology companies and a high rate of digital adoption. The Asia Pacific region, however, is emerging as a significant growth area, driven by rapid industrialization, urbanization, and increasing investments in digital transformation initiatives. Europe also showcases a robust market, fueled by stringent data protection regulations and a strong focus on innovation. Meanwhile, the markets in Latin America and the Middle East & Africa are gradually gaining momentum as organizations in these regions are increasingly recognizing the value of data analytics in enhancing business outcomes and driving economic growth.

Component Analysis

The Big Data and Business Analytics market is segmented by components into software, services, and hardware, each playing a crucial role in the ecosystem. Software components, which include data management and analytics tools, are at the forefront, offering solutions that facilitate the collection, analysis, and visualization of large data sets. The software segment is driven by a demand for scalable solutions that can handle the increasing volume, velocity, and variety of data. As organizations strive to become more data-centric, there is a growing need for advanced analytics software that can provide actionable insights from complex data sets, leading to enhanced decision-making capabilities.

In the services segment, businesses are increasingly seeking consultation, implementation, and support services to effective

Listing of all (active and inactive) businesses registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

No of Charges Received data was reported at 1,670.000 Unit in Oct 2018. This records a decrease from the previous number of 1,760.000 Unit for Sep 2018. No of Charges Received data is updated monthly, averaging 2,044.000 Unit from Jan 1999 (Median) to Oct 2018, with 238 observations. The data reached an all-time high of 4,451.000 Unit in Jan 2008 and a record low of 1,238.000 Unit in Feb 2009. No of Charges Received data remains active status in CEIC and is reported by Companies Registry. The data is categorized under Global Database’s Hong Kong SAR – Table HK.O002: Registered Companies Statistics.

At CompanyData.com (BoldData), we provide verified company data sourced directly from official trade registers. Our Company Ownership Data & Group Structures Database gives you access to detailed ownership hierarchies and parent-subsidiary relationships for over 380 million companies worldwide. Whether you need to trace beneficial ownership, assess corporate networks, or map group structures globally, our data delivers the transparency and accuracy your business demands.

Built for precision and trust, our records include shareholder information, ultimate beneficial owners (UBOs), controlling entities, and linked subsidiaries. Each profile is enriched with firmographics such as legal name, registration number, industry classification, revenue, employee count, and contact data—including decision-maker emails and mobile numbers. All data is verified at the source, offering unmatched clarity for even the most complex corporate structures.

Organizations across finance, compliance, sales, and technology use our ownership and hierarchy data to meet KYC and AML requirements, perform risk assessments, enrich CRM systems, power corporate intelligence tools, and support AI and machine learning models. Whether you're investigating a single entity or analyzing multi-jurisdictional networks, our structured data provides the insight you need to act with confidence.

We deliver data the way your business needs it: through tailored bulk files, a user-friendly self-service platform, real-time API access, or custom enrichment services. Backed by our global coverage and deep domain expertise, CompanyData.com (BoldData) helps you uncover connections, maintain compliance, and unlock smarter strategies across markets.

Close to 2.68 thousand businesses in the data processing and information services industry in Japan had between one to four employees in 2020. At the same time, 59 businesses employed 500 or more people.

This statistic shows the top AI related data priorities in U.S.-based organizations in 2019. Integrating AI and analytics systems was the top AI related data priority for 2019, with ** percent of respondents indicating that it was a top priority of their company.

Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Race for the U.S.: 2022.Table ID.ABSCS2022.AB00MYCSA01C.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2024-12-19.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Race White Black or African American American Indian and Alaska Native Asian Asian Indian Chinese Filipino Japanese Korean Vietnamese Other Asian Native Hawaiian and Other Pacific Islander Native Hawaiian Guamanian or Chamorro Samoan Other Pacific Islander Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White) Equally minority/nonminority Nonminority (Firms classified as non-Hispanic and White) Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2022 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2022 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0351).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see An...

In a 2024 survey of small business leaders and IT professionals in the United States, 58 percent of respondents stated that employee data was their most compromised company data in cyberattacks. Additionally, 53 percent of respondents reported customer or consumer data as the second most impacted company data.

The Supply Chain Big Data Analytics Market Report is Segmented by Component (Solution, Service), End User Industry (Retail, Transportation and Logistics, Manufacturing, Healthcare, Other End-User Industries), Deployment Model (On-Premise, Cloud), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

LB: Time Required to Register Property data was reported at 34.000 Day in 2017. This stayed constant from the previous number of 34.000 Day for 2016. LB: Time Required to Register Property data is updated yearly, averaging 25.000 Day from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 34.000 Day in 2017 and a record low of 25.000 Day in 2014. LB: Time Required to Register Property data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lebanon – Table LB.World Bank: Company Statistics. Time required to register property is the number of calendar days needed for businesses to secure rights to property.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

At CompanyData.com (BoldData), we provide accurate and verified business data sourced directly from official trade registers. For Sweden, we offer access to a comprehensive database of over 1,825,197 registered companies, giving you the insight and confidence needed to navigate one of Europe's most digitally advanced economies.

Our Swedish company database includes detailed firmographic information, such as company name, registration number (organisationsnummer), legal form, industry classification (SNI/NACE), size, revenue estimates and company hierarchies. Where available, we also deliver contact details including names of key executives, job titles, email addresses and mobile numbers.

Whether you are focused on KYC and AML compliance, CRM data enrichment, B2B lead generation, sales and marketing, AI training or market research, our Sweden company data is structured, up to date and ready to meet your business needs.

We offer multiple flexible delivery options: • Tailored company lists based on specific filters such as industry, size or region • Full national datasets for deeper analysis and segmentation • Real time integration via our API • File formats including Excel and CSV for fast deployment • Enrichment services to clean and enhance your existing data

As part of our global network of 1,825,197 verified company records across 200+ countries, we combine local expertise with global reach. Whether you’re entering the Swedish market or scaling internationally, CompanyData.com (BoldData) gives you the data tools to make informed decisions and unlock new growth.

Choose CompanyData.com for reliable, verified company information in Sweden and beyond. We help you reduce risk, improve targeting and grow with confidence.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for master in business administration business statistics data analytics in the U.S.

In 2023, around **** percent of companies that used big data analysis and related services in South Korea did so with public data. Following this was the analysis of customer information, at around **** percent.

Graph and download economic data for Business Sector: Employment for All Workers (PRS84006011) from Q1 1948 to Q2 2025 about productivity, sector, business, employment, rate, and USA.

ChatGPT, an artificial intelligence (AI) powered chatbot, is most used by companies in the technical and education industries, with over *** companies using it in 2023. It is perhaps unsurprising that the technical field has embraced the use of ChatGPT, but it is interesting that so many educational institutes have begun to use it. While other industries do utilize the OpenAI-made chatbot, there are less than *** institutions and companies that use ChatGPT in other industries. This is especially true of agriculture, cultural, and legal industries, where only a single company is using ChatGPT in 2023.

Companies Entering EXAD: Professional, Scientific & Technical Services data was reported at 39.000 Unit in Jul 2022. This records an increase from the previous number of 31.000 Unit for Jun 2022. Companies Entering EXAD: Professional, Scientific & Technical Services data is updated monthly, averaging 11.000 Unit from Jul 2013 (Median) to Jul 2022, with 109 observations. The data reached an all-time high of 39.000 Unit in Jul 2022 and a record low of 1.000 Unit in Apr 2021. Companies Entering EXAD: Professional, Scientific & Technical Services data remains active status in CEIC and is reported by Australian Securities & Investments Commission. The data is categorized under Global Database’s Australia – Table AU.O005: Insolvency Statistics: Companies Entering External Administration: Monthly (Discontinued).

The Data Analytics in Retail Industry is segmented by Application (Merchandising and Supply Chain Analytics, Social Media Analytics, Customer Analytics, Operational Intelligence, Other Applications), by Business Type (Small and Medium Enterprises, Large-scale Organizations), and Geography. The market size and forecasts are provided in terms of value (USD billion) for all the above segments.