Success.ai’s UK SME Database gives your business a powerful edge in reaching verified small and medium-sized companies across the United Kingdom. Whether you’re selling business services, SaaS, finance tools, or logistics solutions—this dataset offers direct access to growth-stage companies that are ready to buy.

With rich company data and verified contact info for founders, directors, and operational managers, you’ll have everything needed to identify, engage, and convert high-potential UK SMEs.

Included Data Points:
- Company name and domain
- Business category and industry
- Company size (employee range)
- Location (city, postcode, region)
- Contact name, job title, email, LinkedIn

Why Success.ai?
- Covers 2.5M+ UK small and mid-sized businesses
- Verified data for owners, directors, and decision-makers
- Great for outreach in services, SaaS, HR, and legal sectors
- Curated for accuracy and delivered your way
- Best Price Guarantee – always competitive, always complete

Use Cases:
- B2B sales outreach to UK growth companies
- Local ABM for regional campaigns
- Market expansion for service providers
- SME-focused research and segmentation
- Email marketing and CRM enrichment

Explore 2M+ verified UK SMEs with rich company data: size, domain, industry, contacts & more. Ideal for marketing, research, and B2B targeting. GDPR-compliant. Best Price Guarantee

Success.ai’s UK SME Dataset gives you unmatched access to 2 million small and medium-sized enterprises across England, Scotland, Wales, and Northern Ireland.

Whether you’re targeting small business owners or departmental heads in growing firms, this dataset provides structured and verified company records for precise targeting.

Built for B2B sales, marketing, investment prospecting, and market research, each dataset includes detailed firmographics, ownership structure, and (optional) verified contact data for C-level or decision-making staff.

What You’ll Get:
- Company name, domain, and LinkedIn URL
- Headcount and revenue range
- Region, country, postal code
- SIC/NAICS codes or industry categories
- Contact info (owner, founder, CMO, etc. – optional)

Why Success.ai?
- 2M+ updated SME records in the UK alone
- Segment by geography, sector, or company size
- Perfect for SMB-focused B2B vendors and service providers
- Best Price Guarantee for small business data
- GDPR-ready datasets for peace of mind

Use Cases:
- Small business marketing campaigns
- B2B CRM data enrichment
- Investor scouting and growth tracking
- Local ABM by city or region
- Lead generation for SME-focused SaaS and fintech tools

Access 2.5 million verified UK small and medium-sized business profiles with decision-maker contacts and firmographics. Ideal for B2B sales and market expansion. Best Price Guarantee.

This tool provides a statistical overview and tables outlining the export activities of U.S. small and medium-sized enterprises (SMEs), which are defined as firms that have fewer than 500 employees. All figures in this overview and tables include only identifiable or "known" exports, i.e., exports that can be linked to individual companies using information on U.S. export declarations.

Indonesia Small, and Medium Enterprises (SME): Credits: Total data was reported at 1,005,522.000 IDR bn in May 2019. This records an increase from the previous number of 990,660.000 IDR bn for Apr 2019. Indonesia Small, and Medium Enterprises (SME): Credits: Total data is updated monthly, averaging 684,494.247 IDR bn from Jan 2011 (Median) to May 2019, with 101 observations. The data reached an all-time high of 1,005,522.000 IDR bn in May 2019 and a record low of 360,673.256 IDR bn in Jan 2011. Indonesia Small, and Medium Enterprises (SME): Credits: Total data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Global Database’s Indonesia – Table ID.KAD049: Small and Medium Enterprises: Credit.

In 2010, IFC conducted a study to estimate the number of micro, small, and medium enterprises (MSMEs) in the world, and to determine the degree of access to credit and use of deposit accounts for formal and informal MSMEs. The study used primarily data from the World Bank Enterprise Surveys (ES). In 2011 the data was revisited as new enterprise surveys became available. The resulting database, IFC Enterprise Finance Gap Database, covers 177 countries. This dataset provides summary values for dfferent categories.

The SME data warehouse is based on existing administrative data sources from Statistics Canada and Canada Revenue Agency. Data covers tax year 2001 to tax year 2006. The SME Data Warehouse contains a complete, up to date and unduplicated list of all businesses in Canada based on Statistics Canada's Business Register for tax years 2001-2006. This product currently produces data for Small and Medium Sized Enterprises (SMEs). SMEs are defined as enterprises with less than 250 employees and less than $50 million in total revenue.

South Korea Small and Medium Enterprises (SME): Sales data was reported at 56,063,181.000 KRW hm in 2019. This records an increase from the previous number of 54,911,068.000 KRW hm for 2018. South Korea Small and Medium Enterprises (SME): Sales data is updated yearly, averaging 53,233,447.000 KRW hm from Dec 2015 (Median) to 2019, with 5 observations. The data reached an all-time high of 56,063,181.000 KRW hm in 2019 and a record low of 47,986,767.000 KRW hm in 2015. South Korea Small and Medium Enterprises (SME): Sales data remains active status in CEIC and is reported by Korea Federation of SMEs. The data is categorized under Global Database’s South Korea – Table KR.H035: 2015-2019 Small and Medium Enterprise Sales.

The global Database Design & Development Services market is poised for significant expansion, projected to reach a substantial market size by 2025, with a robust Compound Annual Growth Rate (CAGR) of approximately 12% extending through 2033. This dynamic growth is primarily fueled by the escalating need for efficient data management and sophisticated database solutions across all business scales. Small and Medium-sized Enterprises (SMEs) are increasingly recognizing the critical role of well-designed databases in optimizing operations, enhancing customer experiences, and gaining competitive advantages. Simultaneously, large enterprises are continuously investing in advanced database architectures to handle massive data volumes, ensure data integrity, and leverage data analytics for strategic decision-making. The market's expansion is further propelled by the widespread adoption of cloud-based database solutions, offering scalability, flexibility, and cost-effectiveness. Key market drivers include the ever-increasing volume of data generated by digital transformations, the burgeoning demand for real-time analytics and business intelligence, and the growing complexity of data structures requiring specialized design and development expertise. Trends such as the rise of Big Data technologies, the adoption of hybrid and multi-cloud database strategies, and the integration of Artificial Intelligence (AI) and Machine Learning (ML) into database management systems are shaping the market landscape. While the market exhibits strong growth potential, certain restraints, such as the high cost of advanced database solutions and the shortage of skilled database professionals, may temper the pace of adoption in some segments. Despite these challenges, the overarching need for robust, scalable, and secure database solutions across diverse applications and industries ensures a promising future for the Database Design & Development Services market. This report provides an in-depth analysis of the global Database Design & Development Services market, with a focus on its evolution from the historical period of 2019-2024 to a projected trajectory through 2033. The Base Year is 2025, with the Estimated Year also being 2025, and the Forecast Period spanning from 2025-2033. The study encompasses a broad spectrum of companies, including Mosier Information Services, Kintone, Virtual Employee, Arkware, Irvine Software Company, Ayoka, US Software Limited, Belitsoft, Net Solutions, SoftwareHut, Revalsys Technologies, MixinTech, and Segments. The analysis further segments the market by Application (SMEs, Large Enterprises), Type (SQL Database Solution, NoSQL Database Solution), and Industry Developments. The report is valued in the millions of US dollars.

Global enterprise database systems market key player include Oracle Corporation, Embarcadero Technologies, SAP (Germany), IBM Corporation, MarkLogic, Hewlett-Packard and other

Portugal Number of Companies: Micro, Small & Medium (SME) data was reported at 539.069 Unit th in 2023. This records an increase from the previous number of 527.060 Unit th for 2022. Portugal Number of Companies: Micro, Small & Medium (SME) data is updated yearly, averaging 410.412 Unit th from Dec 2006 (Median) to 2023, with 18 observations. The data reached an all-time high of 539.069 Unit th in 2023 and a record low of 365.327 Unit th in 2006. Portugal Number of Companies: Micro, Small & Medium (SME) data remains active status in CEIC and is reported by Banco de Portugal. The data is categorized under Global Database’s Portugal – Table PT.O001: Number of Companies.

United States SMB And SME Used Accounting Software Market size was valued at USD 999.42 Million in 2024 and is projected to reach USD 1539.94 Million by 2032, growing at a CAGR of 6.14% from 2026 to 2032.

United States SMB And SME Used Accounting Software Market Overview

Accounting software solutions typically support more functionality and a broader range of reporting. The underlying database is more robust, and therefore, SMB products are more scalable and able to take the business to its next level. Where only a few years ago the SMB and SMEs had very different competitors, over the past few years SMB vendors have enhanced their database capabilities and added features and functions that were only found in much larger applications before.

Underlying data from the publication 'Research to understand the barriers to take up and use of business support' [URN 11/1288]. Data from a survey of 1,202 employer SMEs in England undertaken in March 2011. The survey was designed to provide statistically robust evidence of business use and non use of external business support services, differentiating between private sector and public sector sources of both routine information and strategic advice. The survey aimed to produce a broadly representative sample of SME employers and used a random stratified sample from the Experian database adopting quotas in order to capture sufficient numbers of businesses across key categories (age, size, sector, region). The data presented in the published report was weighted by size band to correct for over-sampling amongst larger SMEs.

The data are collected from the European countries in which the partners of the EPRISE project are based, and predominantly includes photonics Academia, Clusters and Companies who are active in the four EPRISE project target markets: agriculture, food, medical technologies and pharmaceuticals.

The list is not intended to be exhaustive, while it is continuously updated by the project consortium.

Abstract copyright UK Data Service and data collection copyright owner. The main objective of the research project was to create a longitudinal panel database of SME data relating to a wide range of non-financial and attitudinal characteristics, and a limited number of financial variables not normally available in modified company accounts, from a national postal survey. This database forms the beginning of the second panel - the first panel was started in 1991. A postal survey was sent to over 10,000 independent small and medium-sized enterprises (SMEs) in the manufacturing and business services sectors in England, Scotland and Wales. Just over half (5,430) the firms were telephoned prior to being sent the questionnaire, and 4,640 firms were sent the questionnaire blind. One other study concerned with SMEs by the same Principal Investigator(s) is held at the UK Data Archive under SN 4156. Main Topics:

Abstract copyright UK Data Service and data collection copyright owner. The proposed objectives for the study were to explore the use and barriers to use of electronic commerce by small and medium-sized enterprises (SMEs) in Great Britain. By means of a postal questionnaire, the study sought to understand: which SMEs are using electronic commerce (e-commerce) applications and for what business activities? What benefits they are reaping - are these consistent with those forecast for larger corporations or can SMEs gain unique advantages from adopting e-commerce? What are the challenges faced in developing and adopting such services - what are the key success factors for SMEs achieving business benefits from e-commerce? In particular, it was intended that the research would demonstrate the following: the characteristics and incidence of SMEs adopting e-commerce; the business applications it is being used for in those companies; the benefits and challenges of e-commerce adoption; best practice for deployment of e-commerce. Main Topics: The dataset contains responses to the postal questionnaire, and is available from the UKDA in either Excel or SPSS format. Each case is identified by a unique respondent number. Variables are numbered according to the question order on the questionnaire, e.g. Q1P2P1 contains the responses to Question 1, Part 2, item 1. Topics covered include use of e-commerce, factors driving consideration/use of e-commerce, exactly which activities it is used for, company information systems, benefits and challenges of e-commerce, and background information. The database contains two separate samples: 1. A database of SMEs held internally at Cranfield School of Management (variable Database = 1.00) was used. This contains companies that have attended, or made enquiries about, an executive education programme aimed at SMEs. 2. Names and company addresses were bought from a commercial database company (Database = 2.00). Companies were chosen from their records on the basis that they had 250 employees or less. All data have been anonymised to protect respondent confidentiality.

The Database as a Service (DBaaS) market is experiencing robust growth, driven by the increasing adoption of cloud computing, the need for scalable and flexible database solutions, and the rising demand for data-driven decision-making across various industries. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $150 billion by 2033. This growth is fueled by several key factors. Large enterprises are increasingly migrating their on-premise databases to cloud-based solutions to reduce IT infrastructure costs, improve scalability, and enhance operational efficiency. Small and medium-sized enterprises (SMEs) are also adopting DBaaS solutions due to their affordability and ease of use, fostering wider market penetration. Furthermore, advancements in database technologies, such as serverless databases and managed services, are simplifying database management and lowering the barrier to entry for businesses of all sizes. The prevalence of hybrid cloud strategies and the rising adoption of AI and machine learning applications further stimulate DBaaS market growth. However, certain restraints exist. Security concerns surrounding data stored in the cloud, vendor lock-in issues, and the complexity of migrating existing databases to the cloud present challenges to wider adoption. Despite these challenges, the market is expected to maintain a strong growth trajectory, driven by the continuous innovation in database technologies and the expanding adoption of cloud computing across different geographies. The competitive landscape includes both established players like AWS, Microsoft, Oracle, and IBM, as well as emerging niche providers. This competitive environment fosters continuous innovation and drives down costs, benefiting end-users. The North American market currently holds the largest market share, owing to early adoption of cloud technologies and a mature IT infrastructure. However, the Asia-Pacific region is anticipated to demonstrate significant growth in the coming years, fueled by rapid digitalization and economic expansion in countries like China and India.

Employee: NMI: M: Curr. Term: Excess data was reported at 4.300 % in Mar 2025. This records an increase from the previous number of 3.700 % for Dec 2024. Employee: NMI: M: Curr. Term: Excess data is updated quarterly, averaging 5.900 % from Jun 2013 (Median) to Mar 2025, with 48 observations. The data reached an all-time high of 18.200 % in Jun 2020 and a record low of 3.300 % in Jun 2024. Employee: NMI: M: Curr. Term: Excess data remains active status in CEIC and is reported by The Small and Medium Enterprise Agency. The data is categorized under Global Database’s Japan – Table JP.S089: SME Business Survey Report: Employee.

CF: CI: S: Curr. Term (MoM, SA): Recover data was reported at 5.700 % in Mar 2025. This records a decrease from the previous number of 6.900 % for Dec 2024. CF: CI: S: Curr. Term (MoM, SA): Recover data is updated quarterly, averaging 6.700 % from Jun 2005 (Median) to Mar 2025, with 80 observations. The data reached an all-time high of 10.600 % in Jun 2013 and a record low of -36.500 % in Mar 2009. CF: CI: S: Curr. Term (MoM, SA): Recover data remains active status in CEIC and is reported by The Small and Medium Enterprise Agency. The data is categorized under Global Database’s Japan – Table JP.S088: SME Business Survey Report: Cash Flow.