The number of small and medium-sized enterprises in Germany was forecast to continuously increase between 2024 and 2029 by in total 0.8 thousand enterprises (+0.38 percent). According to this forecast, in 2029, the number will have increased for the sixth consecutive year to 212.45 thousand enterprises. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the number of small and medium-sized enterprises in countries like Austria and Switzerland.

The number of small and medium-sized enterprises in the United States was forecast to continuously decrease between 2024 and 2029 by in total 6.7 thousand enterprises (-2.24 percent). After the fourteenth consecutive decreasing year, the number is estimated to reach 291.94 thousand enterprises and therefore a new minimum in 2029. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

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.

Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

Key Features of the Dataset:

Verified Contact Details

Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

Detailed Professional Insights

Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

Business-Specific Information

Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

Continuously Updated Data

Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

Why Choose Success.ai?

At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

Use Cases: This dataset empowers you to:

Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

Get Started Today Request a sample or customize your dataset to fit your unique...

Success.ai’s Small Business Contact Data for European Small Businesses offers a comprehensive dataset designed to help businesses connect with small and medium-sized enterprises (SMEs) across Europe. Covering a diverse range of industries, this dataset provides verified profiles, employee counts, leadership contacts, and firmographic insights for small businesses throughout the region.

Whether your goal is to expand into new markets, launch targeted marketing campaigns, or identify potential partners, Success.ai ensures your outreach efforts are powered by reliable, continuously updated, and AI-validated data.

Supported by our Best Price Guarantee, this solution delivers exceptional value for businesses seeking to engage with Europe’s thriving SME ecosystem.

Why Choose Success.ai’s Small Business Contact Data for Europe?

1. Verified Contact Data for Effective Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of small business owners, managing directors, and decision-makers.
   • AI-driven validation ensures 99% accuracy, reducing communication errors and maximizing campaign efficiency.

2. Regional Focus on European Small Businesses

   • Includes profiles of small businesses across Western Europe, Eastern Europe, and Scandinavia, covering diverse markets and industries.
   • Gain insights into regional trends, cultural nuances, and business practices unique to the European SME sector.

3. Continuously Updated Datasets

   • Real-time updates reflect changes in leadership, business expansions, service offerings, and operational footprints.
   • Stay ahead of market developments and maintain relevance in your outreach.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible use of data and compliance with legal standards.

Data Highlights:

• 170M+ Verified Professional Profiles: Engage with small business owners, directors, and operational leaders across Europe.
• 30M Company Profiles: Access firmographic data, including company sizes, revenue ranges, and geographic distributions.
• Employee and Leadership Contacts: Gain direct access to individuals responsible for business operations, procurement, and strategic decisions.
• Business Insights: Understand industry focuses, market positioning, and growth trajectories.

Key Features of the Dataset:

1. Decision-Maker Profiles in Small Businesses

   • Identify and connect with owners, managing partners, directors, and department leads shaping business strategy.
   • Target professionals making decisions on vendor selection, operational efficiency, and customer engagement.

2. Advanced Filters for Precision Targeting

   • Filter by industry, geographic location, company size, or revenue range to reach the right audience.
   • Tailor campaigns to address unique challenges faced by European SMEs, such as digital transformation or supply chain optimization.

3. AI-Driven Enrichment

   • Profiles enriched with actionable data provide personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Sales and Lead Generation

   • Present products, services, or software solutions designed for the operational needs of small businesses.
   • Build relationships with decision-makers managing budgets, vendor negotiations, and business growth.

2. Marketing and Brand Awareness

   • Design targeted campaigns to promote tools, resources, or training programs that enhance productivity or customer engagement for small businesses.
   • Leverage verified contact data to create effective email, social media, and multi-channel marketing campaigns.

3. Recruitment and Workforce Solutions

   • Engage HR professionals or business owners seeking qualified staff or workforce optimization tools.
   • Offer recruitment platforms, training programs, or employee retention strategies tailored to small businesses.

4. Market Research and Competitive Analysis

   • Analyze trends among European SMEs to identify growth opportunities, industry challenges, and market demands.
   • Benchmark against competitors and refine product or service offerings to meet specific small business needs.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality small business data at competitive prices, ensuring strong ROI for your outreach and marketing initiatives in Europe.

2. Seamless Integration

   • Integrate verified data into CRM systems, marketing platforms, or analytics tools via APIs or downloadable formats, simplifying data management and boosting productivity.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven strategies, improve targeting, and enhance conversion rates in campaigns aimed at small businesses.

4. Customizable and Scalable Solutions

   • Tailor datasets to focus ...

Portugal Number of Companies: Micro, Small & Medium (SME) data was reported at 536.637 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 536.637 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.

This data describes small and medium enterprise (SME) relationships with large businesses and how these affect SME growth. Provides evidence for a report on the factors that affect growth in medium sized businesses; and how relationships and interactions between SMEs and large businesses affect SME growth.

During an August 2023 survey, approximately 11 percent of surveyed small or medium business (SMB) owners used artificial intelligence (AI) for data analysis. 35 percent of respondents said they would consider using AI in the future, while another 35 percent stated they were not planning on using AI for this purpose.

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2023. It shows number of jobs and number of business establishments by business size, classified by their CLUE industry, ANZSIC1 and CLUE small area allocation.Business size is determined by the total number of jobs at ech business establishment and is categorised as follows:Non employing, no jobs allocated to the establishment.Small business, 1 to 19 jobs employed at a business establishment.Medium business, 20 to 199 jobs employed at a business establishment.Larger business, 200 or more jobs employed at a business establishment.This dataset has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed and are shown as a blank cell. The 'City of Melbourne' row totals refer to the true total, including those suppressed cells.Non-confidentialised data may be made available subject to a data supply agreement. For more information contact cityfacts@melbourne.vic.gov.auFor CLUE small area spatial files see https://data.melbourne.vic.gov.au/explore/dataset/small-areas-for-census-of-land-use-and-employment-clue/mapFor more information about CLUE see http://www.melbourne.vic.gov.au/clueFor more information about the ANZSIC industry classification system see http://www.abs.gov.au/ausstats/abs@.nsf/mf/1292.0

Data on SME performance and the factors that affect this. Based on a series of surveys among small and medium-sized (SME) employer enterprises across the UK. The survey assesses how well or badly small businesses are performing, their needs, concerns and barriers to growth.

Findings of the Small Business Survey on the performance of small and medium-sized businesses with employees and with no employees.

Source agency: Business, Energy and Industrial Strategy

Designation: Official Statistics

Language: English

Alternative title: SBS

The survey was commissioned by the Ministry of Economy and Innovation of the Republic of Lithuania in 2022. from October 14 to November 18. The general population of the survey was all small and medium-sized enterprises registered in the Republic of Lithuania (SMEs, enterprises with a number of employees not exceeding 250 and an annual income of EUR 50 million). A total of 1004 respondents were interviewed. The sample of the survey was formed according to the general proportions of SME companies in the research population. The proportions of the activity sector, company size (number of employees) and place of registration (county level) were taken into account. The sample quotas are based on the actual proportions of SMEs in the population. The selection of specific companies was carried out in a random-probabilistic manner. The maximum statistical error of the entire sample is ±3.1 percent.

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...

The small and medium-sized businesses indicator represents the number of businesses in Edmonton with between 1 and 499 paid employees.

Enterprise Architecture Tools Market size was valued at USD 1.03 Billion in 2024 and is projected to reach USD 1.603 Billion by 2031, growing at a CAGR of 5.4% during the forecast period 2024-2031.

Enterprise Architecture Tools Market Drivers

Businesses all over the world utilise enterprise architecture technologies to help them make strategic and tactical decisions. To assist in making strategic decisions on business applications, enterprise architecture tools acquire and integrate scope and relevant data across business, information, solution, and technology contexts, as well as other relevant architectural viewpoints. Enterprise architecture tools are all-in-one platforms that help firms plan, model, design, analyse, and implement effective business and IT architecture. Companies utilise them to construct and model system architectures, which are then implemented for business practises, across the application development life cycle.

Enterprise architecture tools help in understanding strategic architecture, identifying opportunities and business risks, analysing options and financial predictions for goals, and identifying patterns and technological solutions for corporate growth. These tools assist companies in keeping track of the connections and dependencies that exist across business processes, data, apps, and other technology. The tools can also be used as a source of data integration and metadata for all of an organization’s important assets and properties. They also aid in the display of all relationships and associations, helping the company to make better IT and strategic decisions.

Presents the number of enterprises (businesses) in the UK along with the turnover and employment in these enterprises.

Source agency: Business, Innovation and Skills

Designation: National Statistics

Language: English

Alternative title: SME Statistics

Obstacles to business growth and level of impact of obstacle to 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.

Abstract

The Future of Business Survey is a new source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the monthly survey - a partnership between Facebook, OECD, and The World Bank - provides a timely pulse on the economic environment in which businesses operate and who those businesses are to help inform decision-making at all levels and to deliver insights that can help businesses grow. The Future of Business Survey provides a perspective from newer and long-standing digitalized businesses and provides a unique window into a new mobilized economy.

Policymakers, researchers and businesses share a common interest in the environment in which SMEs operate, as well their outlook on the future, not least because young and innovative SMEs in particular are often an important source of considerable economic and employment growth. Better insights and timely information about SMEs improve our understanding of economic trends, and can provide new insights that can further stimulate and help these businesses grow.

To help provide these insights, Facebook, OECD and The World Bank have collaborated to develop a monthly survey that attempts to improve our understanding of SMEs in a timely and forward-looking manner. The three organizations share a desire to create new ways to hear from businesses and help them succeed in the emerging digitally-connected economy. The shared goal is to help policymakers, researchers, and businesses better understand business sentiment, and to leverage a digital platform to provide a unique source of information to complement existing indicators.

With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

Geographic coverage

When the survey was initially launched in February 2016, it included 22 countries. When the survey was initially launched in February 2016, it included 22 countries. The Future of Business Survey is now conducted in over 90 countries in every region of the world.

Countries included in at least one wave: Albania Algeria American Samoa Andorra Angola Anguilla Antigua and Barbuda Argentina Aruba Australia Austria Azerbaijan Bahamas (the) Bangladesh Barbados Belarus Belgium Belize Benin Bolivia (Plurinational State of) Bonaire, Sint Eustatius and Saba Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cabo Verde Cambodia Cameroon Canada Cayman Islands (the) Central African Republic (the) Chad Chile Colombia Congo (the) Curaçao Cyprus Czechia Côte d'Ivoire Denmark Djibouti Dominica Dominican Republic (the) Ecuador Egypt El Salvador Equatorial Guinea Estonia Eswatini Ethiopia Faroe Islands (the) Fiji Finland France French Polynesia Gabon Gambia (the) Germany Ghana Gibraltar Greece Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Jordan Kenya Korea (the Republic of) Kuwait Lao People's Democratic Republic (the) Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Malawi Malaysia Mali Malta Martinique Mauritania Mauritius Mayotte Mexico Monaco Montenegro Morocco Mozambique Myanmar Namibia Nepal Netherlands (the) New Caledonia New Zealand Nicaragua Niger (the) Nigeria North Macedonia Northern Mariana Islands (the) Norway Oman Pakistan Panama Papua New Guinea Paraguay Peru Philippines (the) Poland Portugal Qatar Romania Russian Federation (the) Rwanda Réunion Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten (Dutch part) Slovakia Slovenia Solomon Islands South Africa Spain Sweden Switzerland Taiwan Tanzania, the United Republic of Thailand Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turks and Caicos Islands (the) Uganda United Arab Emirates (the) United Kingdom of Great Britain and Northern Ireland (the) United States of America (the) Uruguay Vanuatu Viet Nam Virgin Islands (British) Virgin Islands (U.S.) Zambia.

Analysis unit

The study describes small and medium-sized enterprises.

Universe

The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

Kind of data

Sample survey data [ssd]

Sampling procedure

Twice a year in over 97 countries, the Facebook Survey Team sends the Future of Business to admins and owners of Facebook-designated small business pages. When we share data from this survey, we anonymize responses to all survey questions and only share country-level data publicly. To achieve better representation of the broader small business population, we also weight our results based on known characteristics of the Facebook Page admin population.

A random sample of firms, representing the target population in each country, is selected to respond to the Future of Business Survey each month.

Mode of data collection

Internet [int]

Research instrument

The survey includes questions about perceptions of current and future economic activity, challenges, business characteristics and strategy. Custom modules include questions related to regulation, access to finance, digital payments, and digital skills. The full questionnaire is available for download.

Response rate

Response rates to online surveys vary widely depending on a number of factors including survey length, region, strength of the relationship with invitees, incentive mechanisms, invite copy, interest of respondents in the topic and survey design.

Note: Response rates are calculated as the number of respondents who completed the survey divided by the total number of SMEs invited.

Sampling error estimates

Any survey data is prone to several forms of error and biases that need to be considered to understand how closely the results reflect the intended population. In particular, the following components of the total survey error are noteworthy:

Sampling error is a natural characteristic of every survey based on samples and reflects the uncertainty in any survey result that is attributable to the fact that not the whole population is surveyed.

Other factors beyond sampling error that contribute to such potential differences are frame or coverage error (sampling frame of page owners does not include all relevant businesses but also may include individuals that don't represent businesses), and nonresponse error.

Note that the sample is meant to reflect the population of businesses on Facebook, not the population of small businesses in general. This group of digitized SMEs is itself a community worthy of deeper consideration and of considerable policy interest. However, care should be taken when extrapolating to the population of SMEs in general. Moreover, future work should evaluate the external validity of the sample. Particularly, respondents should be compared to the broader population of SMEs on Facebook, and the economy as a whole.

Japan GA: Exp: General: Small & Medium-sized Business data was reported at 429.854 JPY bn in 2017. This records an increase from the previous number of 339.906 JPY bn for 2016. Japan GA: Exp: General: Small & Medium-sized Business data is updated yearly, averaging 466.953 JPY bn from Mar 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 2,915.074 JPY bn in 2010 and a record low of 236.578 JPY bn in 2006. Japan GA: Exp: General: Small & Medium-sized Business data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Japan – Table JP.F003: Government Finance: General Account: Expenditure: By Program.

The number of small and medium-sized enterprises in the United Kingdom was forecast to continuously increase between 2024 and 2029 by in total 4.5 thousand enterprises (+3.12 percent). After the fifteenth consecutive increasing year, the number is estimated to reach 148.68 thousand enterprises and therefore a new peak in 2029. Notably, the number of small and medium-sized enterprises of was continuously increasing over the past years.According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).