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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.
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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.
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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...
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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.
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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, banks, services, and depository institutions.
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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.
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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.
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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.
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TwitterSmall and medium enterprises (SMEs) are critical to the economic development of Uzbekistan, contributing significantly to employment, innovation, and financial stability. In recent years, Uzbekistan has undertaken a series of economic reforms to improve the business environment, fostering entrepreneurship and SME growth. However, challenges such as limited access to capital, high taxation, and bureaucratic hurdles continue to obstruct the expansion of SMEs. This paper explores the role of SMEs in Uzbekistan’s economy, analyzing their impact on economic growth, employment, and export development. Additionally, international best practices are examined to provide recommendations for enhancing the SME sector. By addressing the structural barriers faced by SMEs and implementing targeted policies, Uzbekistan can leverage this sector for long-term, sustainable economic growth.
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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.
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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.
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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.
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TwitterAccess 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.
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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.
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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.
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TwitterMore 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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| BASE YEAR | 2024 |
| HISTORICAL DATA | 2019 - 2023 |
| REGIONS COVERED | North America, Europe, APAC, South America, MEA |
| REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| MARKET SIZE 2024 | 42.5(USD Billion) |
| MARKET SIZE 2025 | 44.7(USD Billion) |
| MARKET SIZE 2035 | 75.0(USD Billion) |
| SEGMENTS COVERED | Deployment Type, Database Type, End User, Organization Size, Regional |
| COUNTRIES COVERED | US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA |
| KEY MARKET DYNAMICS | increasing data volumes, cloud adoption, regulatory compliance requirements, demand for real-time analytics, integration with AI technologies |
| MARKET FORECAST UNITS | USD Billion |
| KEY COMPANIES PROFILED | Amazon, Informatica, SAP, MariaDB, Teradata, Google, Sybase, Microsoft, Salesforce, Snowflake, MongoDB, Hewlett Packard Enterprise, Dell Technologies, IBM, PostgreSQL, Oracle |
| MARKET FORECAST PERIOD | 2025 - 2035 |
| KEY MARKET OPPORTUNITIES | Cloud-based database solutions, AI-driven data analytics, Integration with IoT technologies, Enhanced data security features, Small and medium business adoption |
| COMPOUND ANNUAL GROWTH RATE (CAGR) | 5.3% (2025 - 2035) |
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Small and Medium Enterprises: Credits: Joint Venture Banks and Foreign Owned Banks data was reported at 9,245.000 IDR bn in May 2019. This records a decrease from the previous number of 9,269.000 IDR bn for Apr 2019. Small and Medium Enterprises: Credits: Joint Venture Banks and Foreign Owned Banks data is updated monthly, averaging 9,733.737 IDR bn from Jan 2011 (Median) to May 2019, with 101 observations. The data reached an all-time high of 20,735.435 IDR bn in Sep 2015 and a record low of 6,561.076 IDR bn in Mar 2012. Small and Medium Enterprises: Credits: Joint Venture Banks and Foreign Owned Banks data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAD049: Small and Medium Enterprises: Credit.
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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.
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Indonesia Small and Medium Enterprises: Credits: Unidentified data was reported at -0.001 IDR bn in Dec 2016. This records a decrease from the previous number of 0.169 IDR bn for Nov 2016. Indonesia Small and Medium Enterprises: Credits: Unidentified data is updated monthly, averaging 0.267 IDR bn from Jan 2011 (Median) to Dec 2016, with 53 observations. The data reached an all-time high of 172.793 IDR bn in Feb 2011 and a record low of -0.001 IDR bn in Dec 2016. Indonesia Small and Medium Enterprises: Credits: Unidentified data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAD049: Small and Medium Enterprises: Credit.
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MSME: Number of Entrepreneur Memorandum Filed: Chhattisgarh data was reported at 1,702.000 Unit in 2015. This records an increase from the previous number of 1,556.000 Unit for 2014. MSME: Number of Entrepreneur Memorandum Filed: Chhattisgarh data is updated yearly, averaging 1,403.500 Unit from Mar 2008 (Median) to 2015, with 8 observations. The data reached an all-time high of 1,741.000 Unit in 2012 and a record low of 1,089.000 Unit in 2010. MSME: Number of Entrepreneur Memorandum Filed: Chhattisgarh data remains active status in CEIC and is reported by Ministry of Micro, Small & Medium Enterprises. The data is categorized under India Premium Database’s Investment – Table IN.OG003: Micro, Small and Medium Enterprises: Number of Entrepreneur Memorandum Filed: by State.
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| BASE YEAR | 2024 |
| HISTORICAL DATA | 2019 - 2023 |
| REGIONS COVERED | North America, Europe, APAC, South America, MEA |
| REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| MARKET SIZE 2024 | 169.1(USD Billion) |
| MARKET SIZE 2025 | 178.2(USD Billion) |
| MARKET SIZE 2035 | 300.0(USD Billion) |
| SEGMENTS COVERED | Service Type, Customer Type, Deployment Model, End User Industry, Regional |
| COUNTRIES COVERED | US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA |
| KEY MARKET DYNAMICS | data privacy regulations, technological advancements, competitive landscape, consumer demand for insights, globalization of services |
| MARKET FORECAST UNITS | USD Billion |
| KEY COMPANIES PROFILED | Forrester Research, Gartner, LexisNexis, Moody's, S&P Global, Bain & Company, PwC, Fitch Ratings, Nielsen, Deloitte, IHS Markit, Thomson Reuters, Accenture, Aon, McKinsey & Company, IBM |
| MARKET FORECAST PERIOD | 2025 - 2035 |
| KEY MARKET OPPORTUNITIES | Cloud-based information services growth, Artificial intelligence integration opportunities, Big data analytics demand, Cybersecurity service expansion, Innovative customer service solutions |
| COMPOUND ANNUAL GROWTH RATE (CAGR) | 5.4% (2025 - 2035) |
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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.