A comprehensive dataset covering small business statistics in 2025, including failure rates, growth data, average revenue, number of employees, and market insights.

Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.

Success.ai offers B2B marketing data across industries and geographies, tailored to fit your specific business needs. With our white-glove service, you’ll receive curated, ready-to-use company datasets without the hassle of managing data platforms yourself. Whether you’re looking for UK B2B data or global datasets, Success.ai ensures a seamless experience with the most accurate and up-to-date information in the market.

Why Choose Success.ai’s Company Data Solution? At Success.ai, we prioritize quality and relevancy. Every company profile is AI-validated for a 99% accuracy rate and manually reviewed to ensure you're accessing actionable and GDPR-compliant data. Our price match guarantee ensures you receive the best deal on the market, while our white-glove service provides personalized assistance in sourcing and delivering the data you need.

Why Choose Success.ai?

• Best Price Guarantee: We offer industry-leading pricing and beat any competitor.
• Global Reach: Access over 28 million verified company profiles across 195 countries.
• Comprehensive Data: Over 15 data points, including company size, industry, funding, and technologies used.
• Accurate & Verified: AI-validated with a 99% accuracy rate, ensuring high-quality data.
• Real-Time Updates: Stay ahead with continuously updated company information.
• Ethically Sourced Data: Our B2B data is compliant with global privacy laws, ensuring responsible use.
• Dedicated Service: Receive personalized, curated data without the hassle of managing platforms.
• Tailored Solutions: Custom datasets are built to fit your unique business needs and industries.

Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.

Comprehensive Data Points: Success.ai delivers in-depth information on each company, with over 15 data points, including:

Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.

Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.

From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.

Key Use Cases:

• Targeted Lead Generation: Build accurate lead lists by filtering data by company size, industry, or location. Target decision-makers in key industries to streamline your B2B sales outreach.
• Account-Based Marketing (ABM): Use B2B company data to personalize marketing campaigns, focusing on high-value accounts and improving conversion rates.
• Investment Research: Track company growth, funding rounds, and employee trends to identify investment opportunities or potential M&A targets.
• Market Research: Enrich your market intelligence initiatives by gain...

description: The mission of the Office of Small and Disadvantaged Business Utilization (OSDBU) is to implement and execute the functions and duties of Section 8 and 15 of the Small Business Act (SBAct). Section 15 states that a fair proportion of the total purchases and contracts for property and services for the Government are to be placed with small business concerns. The implementation and execution of Section 8 and 15 of the SBAct are demonstrated and measured by the Departmenta?Ts ability to work towards exceeding statutory prime, sub and socio-economic small business goals, providing education on the management & operations business model, continuous improvement of best practices such as the Mentor-ProtACgAC Program, providing information on financial assistance opportunities, providing training to small businesses, participating and conducting outreach events for small businesses, ensuring compliance with Federal Acquisition Regulations and other applicable small business laws and regulations, issuing new small business policies and updating existing small business policies at the Department.; abstract: The mission of the Office of Small and Disadvantaged Business Utilization (OSDBU) is to implement and execute the functions and duties of Section 8 and 15 of the Small Business Act (SBAct). Section 15 states that a fair proportion of the total purchases and contracts for property and services for the Government are to be placed with small business concerns. The implementation and execution of Section 8 and 15 of the SBAct are demonstrated and measured by the Departmenta?Ts ability to work towards exceeding statutory prime, sub and socio-economic small business goals, providing education on the management & operations business model, continuous improvement of best practices such as the Mentor-ProtACgAC Program, providing information on financial assistance opportunities, providing training to small businesses, participating and conducting outreach events for small businesses, ensuring compliance with Federal Acquisition Regulations and other applicable small business laws and regulations, issuing new small business policies and updating existing small business policies at the Department.

Properties receiving Small Business Rate Relief, either at the maximum amount or on the tapered relief for qualifying properties with Rateable Values (RV) between £12,000 and £17,000. Includes: Liable Party Name; Property Reference; Rateable Value; Property Address; Property Postcode.

For more information on business rates in Calderdale, see the council website: Business Rates.

Adoption of advanced technologies (business intelligence, design, security, logistic, processing, internet of things, clean, other) and wesbites by small and medium enterprises in 2020 by region, CMA level, North American Industry Classification System (NAICS), demographics, age of business, employment size, rate of growth, etc.

The Global Entrepreneurship Monitor [GEM] research program was developed to provide comparisons among countries related to participation of adults in the firm creation process. The initial data was assembled as a pretest of five countries in 1998 and by 2012 over 100 countries had been involved in the program. The initial design for the GEM initiative was based on the first US Panel Study of Entrepreneurial Dynamics, and by 2012 data from 1,827,513 individuals had been gathered in 563 national samples and 6 specialized regional samples. This dataset is a harmonized file capturing results from all of the surveys. The procedure has been to harmonize the basic items across all surveys in all years, followed by implementing a standardized transform to identify those active as nascent entrepreneurs in the start-up process, as owner-managers of new firms, or as owner-managers of established firms. Those identified as nascent entrepreneurs or new business owners are the basis for the Total Entrepreneurial Activity [TEA] or Total Early-Stage index. This harmonized, consolidated assessment not only facilitates comparisons across countries, but provides a basis for temporal comparisons for individual countries. Respondents were queried on the following main topics: general entrepreneurship, start-up activities, ownership and management of the firm, and business angels (angel investors). Respondents were initially screened by way of a series of general questions pertaining to starting a business, such as whether they were currently trying to start a new business, whether they knew anyone who had started a new business, whether they thought it was a good time to start a new business, as well as their perceptions of the income potential and the prestige associated with starting a new business. Demographic variables include respondent age, sex, and employment status. Developing representative samples of adults was a two stage process. The first step involved a random selection of households leading to a contact with an adult resident. In countries where a high proportion of households have land line telephones, this was done by creating a random set of numbers considered to be household phone numbers. In countries with a high proportion of cell-phone only adults, this has been supplemented with random samples of active cell phone numbers. Numbers were then called, generally up to three times, until an adult respondent answered the phone. In countries with low proportion of households with phones, geographic areas were selected at random for personal contacts by interviewers, who then approached households for a face-to-face interview. In some developing countries phone interviews are conducted in the major urban areas supplemented with face-to-face interviews in rural regions. Adults from each household were selected for interviews in one of two ways. In some cases it was the first adult contacted and in others a person would be randomly selected from those adults living in the household for the interview. In many developed countries there was a deliberate attempt, quota sampling, to complete half of all interviews with men and half with women. For additional information on sampling, please refer to the Original P.I. Documentation section in the ICPSR Codebook. The data are not weighted, however, this collection contains three weight variables that should be used in any analysis: WEIGHT, WEIGHT_L, and WEIGHT_A. National survey vendors implemented weights that would match the annual cohorts with the best available national data, later adjusted by matching the sample to the U.S. Census Bureau International Data Base (IDB) on national population distributions by age and gender. For more information on weights and sampling please refer to the Original P.I. Documentation section in the ICPSR Codebook. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. computer-assisted personal interview (CAPI), computer-assisted telephone interview (CATI), face-to-face interview, paper and pencil interview (PAPI), telephone interview A related collection, the Global Entrepreneurship Monitor (GEM): Expert Questionnaire Data, 1999-2003, is available as ICPSR 21862. Additional information on the Global Entrepreneurship Monitor [GEM] can be found by visiting the GEM Web site. Datasets: DS1: Global Entrepreneurship Monitor [GEM]: Adult Population Survey Data Set, 1998-2010 Adult populations of 100 countries. Smallest Geographic Unit: Country

This dataset presents statistics about the businesses which are involved with tourism in specific Local Government Areas (LGA) around Australia. The LGAs covered in the data are a subset of the LGA boundaries classified in the 2016 Australian Statistical Geography Standard (ASGS). The data represents information about the number of businesses involved in tourism by the number of employees they have employed. The data was sourced for the year 2016. Tourism Research Australia (TRA) first developed Local Government Area tourism profiles in 2007 to assist industry and Government decision making and to identify and support investment opportunities, particularly in regional Australia. The latest profiles provide an update for over 200 Local Government Areas. Data are drawn from TRA's International Visitor Survey (IVS) and National Visitor Survey (NVS), along with demographic and business data from the Australian Bureau of Statistics (ABS). Profiles were only prepared for Local Government Areas with adequate International Visitor Survey (IVS) and National Visitor Survey (NVS) sample to present robust results. For more information please visit the Website of the TRA. Please note: AURIN has spatially enabled the original data.

This data uses a national employer survey to show numbers and percentages of people employed in jobs in industries in each broad industrial group. Data is shown for Lincolnshire and Districts, and also for smaller areas (such as Wards, and Lower super output areas (LSOAs from the 2011 Census)). Some limitations of the dataset are that figures for small areas (Wards and LSOAs) exclude employees in farm agriculture (Standard Industrial Classification subclass 01000). The figures include businesses registered for PAYE but not for VAT. Values may be rounded and low numbers suppressed (particularly at smaller geographies) so numbers may not tally precisely with figures for larger areas. Figures are shown for the most recent year available, although these are provisional and may be subject to later revision by ONS. This data is based on the ONS Business Register and Employment Survey (BRES, open access) sourced from the Office for National Statistics (ONS) Nomis website. More detailed breakouts of Standard Industrial Classifications are available from the Source weblink. This dataset is updated annually

The size of the US Data Center Industry market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.00% during the forecast period.A data center is a facility that keeps computer systems and networking equipment housed, processing, and transmitting data. It represents the infrastructure on which organizations carry out their IT operations and host websites, email servers, and database servers. Data centers, therefore, are imperative to any size business: small start-ups or large enterprise since they enable digital transformation, thus making business applications available.The US data center industry is one of the largest and most developed in the world. The country boasts robust digital infrastructure, abundant energy resources, and a highly skilled workforce, making it an attractive destination for data center operators. Some of the drivers of the US data center market are the growing trend of cloud computing, internet of things (IoT), and high-performance computing requirements.Top-of-the-line technology companies along with cloud service providers set up major data center footprints in the US, mostly in key regions such as Silicon Valley and Northern Virginia, Dallas, for example. These data centers support applications such as e-commerce-a manner of accessing streaming services-whose development depends on its artificial intelligence financial service type. As demand increases concerning data center capacity, therefore, the US data centre industry will continue to prosper as the world's hub for reliable and scalable solutions. Recent developments include: February 2023: The expansion of Souther Telecom to its data center in Atlanta, Georgia, at 345 Courtland Street, was announced by H5 Data Centers, a colocation and wholesale data center operator. One of the top communication service providers in the southeast is Southern Telecom. Customers in Alabama, Georgia, Florida, and Mississippi will receive better service due to the expansion of this low-latency fiber optic network.December 2022: DigitalBridge Group, Inc. and IFM Investors announced completing their previously announced transaction in which funds affiliated with the investment management platform of DigitalBridge and an affiliate of IFM Investors acquired all outstanding common shares of Switch, Inc. for USD approximately USD 11 billion, including the repayment of outstanding debt.October 2022: Three additional data centers in Charlotte, Nashville, and Louisville have been made available to Flexential's cloud customers, according to the supplier of data center colocation, cloud computing, and connectivity. By the end of the year, clients will have access to more than 220MW of hybrid IT capacity spread across 40 data centers in 19 markets, which is well aligned with Flexential's 2022 ambition to add 33MW of new, sustainable data center development projects.. Key drivers for this market are: , High Mobile penetration, Low Tariff, and Mature Regulatory Authority; Successful Privatization and Liberalization Initiatives. Potential restraints include: , Difficulties in Customization According to Business Needs. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

This CD-ROM product is an authoritative reference source of 15 key financial ratios by industry groupings compiled from the North American Industry Classification System (NAICS 2007). It is based on up-to-date, reliable and comprehensive data on Canadian businesses, derived from Statistics Canada databases of financial statements for three reference years. The CD-ROM enables users to compare their enterprise's performance to that of their industry and to address issues such as profitability, efficiency and business risk. Financial Performance Indicators can also be used for inter-industry comparisons. Volume 1 covers large enterprises in both the financial and non-financial sectors, at the national level, with annual operating revenue of $25 million or more. Volume 2 covers medium-sized enterprises in the non-financial sector, at the national level, with annual operating revenue of $5 million to less than $25 million. Volume 3 covers small enterprises in the non-financial sector, at the national, provincial, territorial, Atlantic region and Prairie region levels, with annual operating revenue of $30,000 to less than $5 million. Note: FPICB has been discontinued as of 2/23/2015. Statistics Canada continues to provide information on Canadian businesses through alternative data sources. Information on specific financial ratios will continue to be available through the annual Financial and Taxation Statistics for Enterprises program: CANSIM table 180-0003 ; the Quarterly Survey of Financial Statements: CANSIM tables 187-0001 and 187-0002 ; and the Small Business Profiles, which present financial data for small businesses in Canada, available on Industry Canada's website: Financial Performance Data.

This dataset presents statistics about the businesses which are involved with tourism in specific Local Government Areas (LGA) around Australia. The LGAs covered in the data are a subset of the LGA …Show full descriptionThis dataset presents statistics about the businesses which are involved with tourism in specific Local Government Areas (LGA) around Australia. The LGAs covered in the data are a subset of the LGA boundaries classified in the 2018 Australian Statistical Geography Standard (ASGS). The data represents information about the number of businesses involved in tourism by the number of employees they have employed. The data was sourced for the year 2018. Tourism Research Australia (TRA) first developed Local Government Area tourism profiles in 2007 to assist industry and Government decision making and to identify and support investment opportunities, particularly in regional Australia. The latest profiles provide an update for over 200 Local Government Areas. Data are drawn from TRA's International Visitor Survey (IVS) and National Visitor Survey (NVS), along with demographic and business data from the Australian Bureau of Statistics (ABS). Profiles were only prepared for Local Government Areas with adequate IVS and NVS sample to present robust results. For more information please visit TRA. Please note: AURIN has spatially enabled the original data. Where data values were, "np", not published or "-", not available, in the original data, they have been set to null. Copyright attribution: Website of Tourism Research Australia, (2019): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)

The Australian Government Department of Jobs and Small Business publishes a range of labour market data on its Labour Market Information Portal website (lmip.gov.au). The link below provides data from the Labour Force Survey conducted by the Australian Bureau of Statistics. The boundaries used in this survey are known as Statistical Area 4 regions. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.