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.

Indonesia Small, and Medium Enterprises (SME): NPL: Total data was reported at 38,173.000 IDR bn in May 2019. This records an increase from the previous number of 36,788.000 IDR bn for Apr 2019. Indonesia Small, and Medium Enterprises (SME): NPL: Total data is updated monthly, averaging 29,302.478 IDR bn from Jan 2011 (Median) to May 2019, with 101 observations. The data reached an all-time high of 40,855.000 IDR bn in May 2018 and a record low of 15,674.409 IDR bn in Dec 2011. Indonesia Small, and Medium Enterprises (SME): NPL: 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.KAD050: Small and Medium Enterprises: Non Performing Loan.

India MSME: Number of Entrepreneur Memorandum Filed: Other Business Activities data was reported at 29,261.000 Unit in 2015. This records an increase from the previous number of 24,332.000 Unit for 2014. India MSME: Number of Entrepreneur Memorandum Filed: Other Business Activities data is updated yearly, averaging 8,702.000 Unit from Mar 2008 (Median) to 2015, with 8 observations. The data reached an all-time high of 29,261.000 Unit in 2015 and a record low of 2,685.000 Unit in 2008. India MSME: Number of Entrepreneur Memorandum Filed: Other Business Activities data remains active status in CEIC and is reported by Ministry of Micro, Small and Medium Enterprises. The data is categorized under India Premium Database’s Investment – Table IN.OF002: Micro, Small and Medium Enterprises: Number of Entrepreneur Memorandum Filed: by Sector.

SMEs have a great role in the national economy, as well as in employment absorption and distribution results, through the law No. 5 of 1999 government give the limit on SME for small businesses is a business that: a. Owns 200 million assets, excluding land and office building, b. Annual sales proceeds at most 1 billion, c. Owned by Indonesian citizens. With these limits, it is expected that the role of government and society needs to give great attention to encourage its development. Development of SME through business empowerment approach, need to pay attention to social and cultural aspects of each region The existence of regulations both in the form of laws and government regulations relating to SME in terms of production and banking side, will spur the role of SME in the economy. For the government, licensing is necessary to maintain public order and provide protection to the public.

Graph and download economic data for Use of Financial Services: Key Indicators, Small and Medium Enterprises (SME) Loan Accounts with Commercial Banks (% of Non-financial Corporation Depositors with Commercial Banks) for India (INDFCNODCSPNUM) from 2004 to 2014 about medium, small, enterprises, India, nonfinancial, financial, corporate, loans, services, banks, and depository institutions.

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 of SME Big Data Market

The Necessity of Data-Driven Decision Making : Small and medium-sized enterprises are increasingly implementing big data solutions to derive actionable insights. These tools enhance customer engagement, streamline operations, and bolster competitive strategies within a rapidly changing business landscape.

The Rise of Cloud-Based Analytics : Cloud computing platforms offer SMEs affordable, scalable, and adaptable big data solutions. The ease of deployment and subscription-based pricing models are propelling adoption, particularly among companies with limited IT resources.

The Growth of Digitalization in SMEs : The continuous digital transformation across various sectors is prompting SMEs to adopt big data technologies. Improved connectivity, the expansion of e-commerce, and the rise of mobile usage are generating substantial amounts of data, thereby increasing the demand for analytics.

Key Restraints in SME Big Data Market

High Costs of Implementation and Maintenance : The use of advanced big data tools frequently entails significant expenses related to setup, customization, and employee training. These financial challenges hinder adoption among small and medium-sized enterprises (SMEs) with limited budgets.

Lack of Skilled Workforce : Small and medium-sized enterprises encounter challenges in recruiting professionals who possess expertise in data science, analytics, and artificial intelligence. This shortage of talent limits the effective use of big data technologies.

Challenges in Data Security and Compliance : The management of sensitive business and customer data raises issues regarding privacy and adherence to regulatory standards. Insufficient cybersecurity measures prevent SMEs from fully capitalizing on big data platforms.

Key Trends of SME Big Data Market

Integration of AI and Machine Learning : Small and Medium Enterprises (SMEs) are progressively embracing AI-driven big data solutions for purposes such as predictive analytics, automation, and the enhancement of personalized customer experiences. These advanced technologies significantly improve efficiency and the ability to make informed decisions.

Rise of Self-Service Analytics : User-friendly self-service analytics platforms are becoming increasingly popular among SMEs. These platforms enable non-technical users to independently analyze data, thereby decreasing dependence on specialized teams.

Expansion of Industry-Specific Solutions : Vendors are providing customized big data tools tailored for specific sectors, including retail, healthcare, and manufacturing. These bespoke solutions effectively tackle unique challenges, fostering greater adoption across various industries.

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 undersc...

This dataset provides aggregated values for different categories. To see a summary of interest, click Filter button and set the categories you are not interested in at the moment to 'blank'. 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.

Indonesia Micro, Small and Medium Enterprise (MSME): Credit: Industry data was reported at 1,496,439.435 IDR bn in Feb 2025. This records an increase from the previous number of 1,494,003.087 IDR bn for Jan 2025. Indonesia Micro, Small and Medium Enterprise (MSME): Credit: Industry data is updated monthly, averaging 1,100,129.441 IDR bn from Jun 2016 (Median) to Feb 2025, with 105 observations. The data reached an all-time high of 1,509,419.244 IDR bn in Dec 2024 and a record low of 816,769.919 IDR bn in Jul 2016. Indonesia Micro, Small and Medium Enterprise (MSME): Credit: Industry data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Global Database’s Indonesia – Table ID.KBC004: Credits: by Industry.

This report presents an analysis of majority women-owned, equally owned and men-owned small and medium enterprises (SMEs) that export. Prior research found that women-owned SMEs were underrepresented amongst exporters. The implications are that businesses owned by women would not benefit as much as the other businesses from the opportunities international trade offers. However, the proportion of women-owned SMEs that export dramatically increased between 2011 and 2017 nearly completely closing the export participation gap. Two factors are identified as having contributed to this important change. First, women’s enterprises tend to be smaller, but a rising number of businesses with 1 to 19 employees exported in 2017 compared to 2011. Second, women-owned SMEs are now better represented in industries prone to exporting. As such, the export gap has significantly narrowed. Nonetheless, the entrepreneurial gap persists, women-owned SMEs still represent less than 16 percent of all SMEs, and a small gap was identified in the proportion of revenues from exports between women-owned enterprises and other firms.

The Statistics Canada triennial Survey on Financing of Small and Medium Enterprises, launched in 2001, measures the demand and sources for financing of Canadian SMEs, including data on the application process, firm profiles and demographic characteristics of SME ownership. Occasionally, abbreviated supplemental surveys will be administered to measure changing conditions in the marketplace, as was the case in 2001.

More than ***** small and medium-sized businesses located in the Ile-de-France region in France sold products on Amazon's marketplace in 2021. The Auvergne-Rhône-Alpes region ranked second, with about ***** SMEs, followed closely by Provence-Alpes-Côte d'Azur, with over ***** affiliated companies.

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Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_1d49896b0fe9a5a8600c7c6ccaa76e2d/view

Indonesia SME: Credits: Processing Industry data was reported at 100,313.000 IDR bn in May 2019. This records an increase from the previous number of 99,589.000 IDR bn for Apr 2019. Indonesia SME: Credits: Processing Industry data is updated monthly, averaging 71,059.658 IDR bn from Jan 2011 (Median) to May 2019, with 101 observations. The data reached an all-time high of 100,313.000 IDR bn in May 2019 and a record low of 41,420.805 IDR bn in Jan 2011. Indonesia SME: Credits: Processing Industry 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.

Outcome of Government financing (Grants, Subsidies or Non-Repayable Contributions) requests made 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.

India MSME: Number of Entrepreneur Memorandum Filed: Computer and Related Activities data was reported at 13,998.000 Unit in 2015. This records an increase from the previous number of 13,162.000 Unit for 2014. India MSME: Number of Entrepreneur Memorandum Filed: Computer and Related Activities data is updated yearly, averaging 6,423.000 Unit from Mar 2008 (Median) to 2015, with 8 observations. The data reached an all-time high of 13,998.000 Unit in 2015 and a record low of 2,715.000 Unit in 2008. India MSME: Number of Entrepreneur Memorandum Filed: Computer and Related Activities data remains active status in CEIC and is reported by Ministry of Micro, Small and Medium Enterprises. The data is categorized under India Premium Database’s Investment – Table IN.OF002: Micro, Small and Medium Enterprises: Number of Entrepreneur Memorandum Filed: by Sector.

From January 101, the term "small and medium enterprises" in this table refers to small and medium enterprises that meet the "Small and Medium Enterprise Recognition Standards" in addition to increasing the small-scale businesses and enterprises that are guaranteed by the Small and Medium Enterprise Credit Guarantee Fund and comply with Article 5 of the Business Registration Act. Therefore, this statistical data is also updated in accordance and retroactive to January 101.

SME: Weekly Change: Novgorod Region data was reported at 28.900 % in 27 Feb 2023. This records an increase from the previous number of 27.800 % for 20 Feb 2023. SME: Weekly Change: Novgorod Region data is updated weekly, averaging 7.800 % from Mar 2020 to 27 Feb 2023, with 155 observations. The data reached an all-time high of 28.900 % in 27 Feb 2023 and a record low of -26.800 % in 06 Apr 2020. SME: Weekly Change: Novgorod Region data remains active status in CEIC and is reported by Sberbank. The data is categorized under High Frequency Database’s Business Statistics – Table RU.SH004: Change in Small and Medium Enterprises Activity: by Regions. [COVID-19-IMPACT]