According to Cognitive Market Research, the global SME Big Data market size is USD xx million in 2024. It will expand at a compound annual growth rate (CAGR) of 4.60% 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 xx million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.8% from 2024 to 2031. Europe accounted for a market share of over 30% of the global revenue with a market size of USD xx million. Asia Pacific held a market share of around 23% of the global revenue with a market size of USD xx million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.6% from 2024 to 2031. Latin America had a market share for more than 5% of the global revenue with a market size of USD xx million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.0% 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 xx million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.3% from 2024 to 2031. The Software held the highest SME Big Data market revenue share in 2024. Market Dynamics of SME Big Data Market Key Drivers for SME Big Data Market Growing Recognition of Data-Driven Decision Making The growing recognition of data-driven decision making is a key driver in the SME Big Data market as businesses increasingly understand the value of leveraging data for strategic decisions. This shift enables SMEs to optimize operations, enhance customer experiences, and gain competitive advantages. Access to affordable big data technologies and analytics tools has democratized data usage, making it feasible for smaller enterprises to adopt these solutions. SMEs can now analyze market trends, customer behaviors, and operational inefficiencies, leading to more informed and agile business strategies. This recognition propels demand for big data solutions, as SMEs seek to harness data insights to improve outcomes, innovate, and stay competitive in a rapidly evolving business landscape. Growing Number of Affordable Big Data Solutions The growing number of affordable big data solutions is driving the SME Big Data market by lowering the entry barrier for smaller enterprises to adopt advanced analytics. Cost-effective technologies, particularly cloud-based services, allow SMEs to access powerful data analytics tools without substantial upfront investments in infrastructure. This affordability enables SMEs to harness big data to gain insights into customer behavior, streamline operations, and enhance decision-making processes. As a result, more SMEs are integrating big data into their business models, leading to improved efficiency, innovation, and competitiveness. The availability of scalable and flexible solutions tailored to SME needs further accelerates adoption, making big data analytics an accessible and valuable resource for small and medium-sized businesses aiming for growth and success. Restraint Factor for the SME Big Data Market High Initial Investment Cost to Limit the Sales High initial costs are a significant restraint on the SME Big Data market, as they can deter smaller businesses from adopting big data technologies. Implementing big data solutions often requires substantial investment in hardware, software, and skilled personnel, which can be prohibitively expensive for SMEs with limited budgets. These costs include purchasing or subscribing to analytics platforms, upgrading IT infrastructure, and hiring data scientists or analysts. The financial burden associated with these initial expenses can make SMEs hesitant to commit to big data projects, despite the potential long-term benefits. Consequently, high initial costs limit the accessibility of big data analytics for SMEs, slowing the market's overall growth and the widespread adoption of these transformative technologies among smaller enterprises. Impact of Covid-19 on the SME Big Data Market The COVID-19 pandemic significantly impacted the SME Big Data market, accelerating digital transformation as businesses sought to adapt to rapidly changing conditions. With disruptions in traditional operations and a shift towards remote work, SMEs increasingly turned to big data analytics to maintain efficiency, manage supply chains, and understand evolving customer behaviors. The pandemic underscored the importance of real-time data insights for agile decision-making, dr...

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

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.

This statistic illustrates the answers to a survey question on the usage of big data among SMEs in the Netherlands in 2018, by business unit. As of 2018, ** percent of the respondents mentioned that they make use of big data with their marketing/sales department, whereas approximately ** percent of the respondents indicated to use big data for pre-sales. Lowest use of big data is the HR department with *** percent of the SME respondents.

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.

There were estimated to be approximately *** million small and medium-sized enterprises (SMEs) worldwide in 2023. The number of SMEs dropped slightly in 2020 during the COVID-19 pandemic, but increased since.

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.

Mexico Establishment Birth Rate: Chiapas: SMEs data was reported at 9.224 % in 2021. This records an increase from the previous number of 3.529 % for 2020. Mexico Establishment Birth Rate: Chiapas: SMEs data is updated yearly, averaging 6.377 % from Dec 2020 (Median) to 2021, with 2 observations. The data reached an all-time high of 9.224 % in 2021 and a record low of 3.529 % in 2020. Mexico Establishment Birth Rate: Chiapas: SMEs data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.O011: Establishment Birth Rate: by State.

The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing.

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.

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.

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

This survey follows up on past Eurobarometer surveys (FL342 in 2012, FL381 in 2013 and FL426 in 2015) in reviewing the current levels of resource efficiency actions and the state of the green market amongst Europe’s SMEs, as well as in neighbouring countries and in the US. Topics covered include current and planned resource efficiency actions, barriers when implementing resource efficiency actions, the role and impact of different types of external support used by SMEs for the production of green products or services and the current state of the green markets.
This Eurobarometer clearly shows that: • Just under two thirds of SMEs across the EU are minimising waste (65%) and saving energy (63%) in their efforts to become more resource efficient • Regarding circular economy actions, 42% recycle by reusing material or waste within their company, 25% design products that are easier to maintain, repair or reuse and 21% sell their scrap material to another company

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

This report looks into how trade barriers affect the participation of women-owned small and medium enterprises (SMEs) in exporting. In order to understand the reasons underlying those findings, this report analyzes the gender differences in selected business characteristics of SMEs, namely size, industry of operation, years of managing experience, and destination of exports.

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

The global test data management market size was worth around USD 1.50 billion in 2023 and is predicted to grow to around USD 3.87 billion by 2032

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.

This Eurobarometer is published during the #EUGreen Week of 2016, Europe's biggest annual occasion to discuss environment policy. The survey shows that 73% of European SMEs have invested in the transition to a more circular model for their businesses over the past three years. More than a quarter (27%) said they had encountered difficulties in accessing financing in this area. Commissioner Vella said: "It is becoming more and more clear that a sound investment strategy means combining economic opportunity with sustainable environmental practice. Green Week sends a powerful signal to European companies, investors and the financial sector that a change of culture is both possible and profitable."

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

Korea SMEs: Number of Bankruptcy data was reported at 39.000 Unit in May 2018. This stayed constant from the previous number of 39.000 Unit for Apr 2018. Korea SMEs: Number of Bankruptcy data is updated monthly, averaging 44.500 Unit from Apr 2015 (Median) to May 2018, with 38 observations. The data reached an all-time high of 80.000 Unit in Jun 2015 and a record low of 30.000 Unit in Nov 2016. Korea SMEs: Number of Bankruptcy data remains active status in CEIC and is reported by Korea Federation of SMEs. The data is categorized under Global Database’s Korea – Table KR.O020: Number of Establishment & Bankruptcy: Small and Medium Enterprises.

Ofcom undertakes research on the availability and experience of communications services for small and medium enterprises (SMEs) in the UK, defined as businesses with fewer than 250 employees. A survey of 1501 SMEs (0-249 employees) was undertaken using CATI (computer aided telephone interviewing). The survey data were weighted to be representative of the SME universe on size. Fieldwork took place between 9 May and 18 July 2016.