100+ datasets found
  1. Business Structure Database, 1997-2023: Secure Access

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2024
    + more versions
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    Office For National Statistics (2024). Business Structure Database, 1997-2023: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-6697-16
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    Dataset updated
    2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    Office For National Statistics
    Description

    The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.

    The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).

    The data are divided into 'enterprises' and 'local units'. An enterprise is the overall business organisation. A local unit is a 'plant', such as a factory, shop, branch, etc. In some cases, an enterprise will only have one local unit, and in other cases (such as a bank or supermarket), an enterprise will own many local units.

    For each company, data are available on employment, turnover, foreign ownership, and industrial activity based on Standard Industrial Classification (SIC)92, SIC 2003 or SIC 2007. Year of 'birth' (company start-up date) and 'death' (termination date) are also included, as well as postcodes for both enterprises and their local units. Previously only pseudo-anonymised postcodes were available but now all postcodes are real.

    The ONS is continually developing the BSD, and so researchers are strongly recommended to read all documentation pertaining to this dataset before using the data.

    Linking to Other Business Studies
    These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

    Latest Edition Information
    For the sixteenth edition (March 2024), data files and a variable catalogue document for 2023 have been added.

  2. p

    Database Management Companies in Greece - 27 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 2, 2025
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    Poidata.io (2025). Database Management Companies in Greece - 27 Verified Listings Database [Dataset]. https://www.poidata.io/report/database-management-company/greece
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    json, csv, excelAvailable download formats
    Dataset updated
    Jul 2, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Greece
    Description

    Comprehensive dataset of 27 Database management companies in Greece as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  3. d

    Computer Vision companies - database

    • datarade.ai
    Updated Dec 23, 2022
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    LeadChart (2022). Computer Vision companies - database [Dataset]. https://datarade.ai/data-products/computer-vision-companies-database-leadchart-b373
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    Dataset updated
    Dec 23, 2022
    Dataset authored and provided by
    LeadChart
    Area covered
    Chile, Falkland Islands (Malvinas), Denmark, Jersey, Mauritania, Israel, British Indian Ocean Territory, India, Libya, Dominican Republic
    Description

    Computer vision is one of the fastest growing industries at the moment and there are a lot of opportunites associated with this industry. Whether you run a development shop, staffing agency or sales/marketing related business this list will help you find opportunities with computer vision companies.

  4. d

    Computer Vision companies database

    • datarade.ai
    .xls
    Updated Dec 1, 2021
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    LeadChart (2021). Computer Vision companies database [Dataset]. https://datarade.ai/data-products/computer-vision-companies-database-leadchart
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    .xlsAvailable download formats
    Dataset updated
    Dec 1, 2021
    Dataset authored and provided by
    LeadChart
    Area covered
    Austria, Montenegro, Trinidad and Tobago, Guam, Curaçao, Burundi, Mauritius, Antigua and Barbuda, Virgin Islands (U.S.), Angola
    Description

    This list has data of about 3000+ companies specializing in computer vision from Enterprises and Startups to Studios. The information includes:

    Location Company Name Linkedin profiles of key people Company Name No of employees Company Name LinkedIn profile Company Name List of key people Company Name Fund raised

    This list is suitable for:

    Agencies & service providers Pitch your services whether it be marketing, design or web development services.

    Freelancers & developers Up your job hunting, contract work and gig opportunities search.

    Product companies Companies with a product or service for computer vision companies.

    Staffing and recruiting agencies Companies with a product or service for computer vision companies.

  5. Data from: Edtech in Higher Education: Focus Groups, Database, and Documents...

    • beta.ukdataservice.ac.uk
    Updated 2023
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    UK Data Service (2023). Edtech in Higher Education: Focus Groups, Database, and Documents on Edtech Companies, Investors and Universities, 2021-2023 [Dataset]. http://doi.org/10.5255/ukda-sn-856729
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    Dataset updated
    2023
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Description

    These data were generated as part of a two-and-a-half-year ESRC-funded research project examining the digitalisation of higher education (HE) and the educational technology (Edtech) industry in HE. Building on a theoretical lens of assetisation, it focused on forms of value in the sector, and governance challenges of digital data. It followed three groups of actors: UK universities, Edtech companies, and investors in Edtech. The researchers first sought to develop an overview of the Edtech industry in HE by building three databases on Edtech companies, investors in Edtech, and investment deals, using data downloaded from Crunchbase, a proprietary platform. Due to Crunchbase’s Terms of Service, only parts of one database are allowed to be submitted to this repository, i.e. a list of companies with the project’s classification. A report offering descriptive analysis of all three databases was produced and is submitted as well. A qualitative discursive analysis was conducted by analysing seven documents in depth. In the second phase, researchers conducted interviews with participants representing three groups of actors (n=43) and collected documents on their organisations. Moreover, a list of documents collected from Big Tech (Microsoft, Amazon, and Salesforce) were collected to contextualise the role of global digital infrastructure in HE. Due to commercial sensitivity, only lists of documents collected about investors and Big Tech are submitted to the repository. Researchers then conducted focus groups (n=6) with representatives of universities (n=19). The dataset includes transcripts of focus groups and outputs of writing by participants during the focus group. Finally, a public consultation was held via a survey, and 15 participants offered qualitative answers.

  6. Company Financial Data | Private & Public Companies | Verified Profiles &...

    • datarade.ai
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    Success.ai, Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-premium-us-contact-data-us-b2b-contact-d-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Suriname, Montserrat, Korea (Democratic People's Republic of), Antigua and Barbuda, Dominican Republic, United Kingdom, Togo, Guam, Iceland, Georgia
    Description

    Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

    Key Features of Success.ai's Company Financial Data:

    Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

    Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

    Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

    Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

    Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

    Why Choose Success.ai for Company Financial Data?

    Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

    AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

    Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

    Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

    Comprehensive Use Cases for Financial Data:

    1. Strategic Financial Planning:

    Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

    1. Mergers and Acquisitions (M&A):

    Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

    1. Investment Analysis:

    Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

    1. Lead Generation and Sales:

    Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

    1. Market Research:

    Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

    APIs to Power Your Financial Strategies:

    Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

    Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

    Tailored Solutions for Industry Professionals:

    Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

    Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

    Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

    Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

    What Sets Success.ai Apart?

    Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

    Ethical Practices: Our data collection and processing methods are fully comp...

  7. Columnar Databases Software Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Columnar Databases Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-columnar-databases-software-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Columnar Databases Software Market Outlook



    As of 2023, the global columnar databases software market size is estimated to be valued at USD 2.5 billion and is expected to grow at a compound annual growth rate (CAGR) of 19% to reach USD 9.2 billion by 2032. The growth of this market is primarily driven by the increasing demand for high-performance database management systems that can efficiently handle large volumes of data generated by various industries.



    The rising necessity for real-time analytics in business operations is a significant growth factor for the columnar databases software market. Companies today are operating in a data-driven environment where decision-making is heavily reliant on data insights. Columnar databases, known for their high-speed query performance and efficient data storage, are becoming indispensable tools for businesses seeking to gain a competitive edge through real-time analytics. The ability of columnar databases to facilitate faster data retrieval and processing compared to traditional row-based databases is making them a preferred choice among enterprises.



    Another vital growth driver for this market is the burgeoning adoption of big data technologies across various sectors. Organizations are increasingly leveraging big data to gain deeper insights into customer behavior, market trends, and operational efficiencies. Columnar databases are particularly well-suited to handle the massive volumes of structured and semi-structured data typical in big data applications. Their architecture allows for efficient processing of read-heavy queries, which is critical in big data analytics. As the volume of data generated globally continues to grow, the adoption of columnar databases is expected to rise correspondingly.



    The shift towards cloud-based solutions is further propelling the columnar databases software market. Cloud deployment offers numerous benefits, including scalability, flexibility, and cost savings, which are particularly appealing to small and medium enterprises (SMEs) as well as large organizations. The ability to access databases from anywhere, coupled with the reduced need for physical infrastructure, is driving the adoption of cloud-based columnar databases. Furthermore, advancements in cloud technology, such as enhanced security features and improved data integration capabilities, are further encouraging organizations to transition to cloud-based solutions.



    The emergence of Database Platform as a Service (DBPaaS) is revolutionizing the way organizations manage their data. DBPaaS offers a cloud-based environment where users can develop, deploy, and manage databases without the complexities of traditional database management. This service model provides scalability, flexibility, and cost-effectiveness, which are crucial for businesses looking to optimize their data operations. With DBPaaS, companies can focus more on data analysis and less on infrastructure management, allowing them to derive insights faster and more efficiently. The integration of DBPaaS with columnar databases further enhances data processing capabilities, making it an attractive option for organizations seeking to leverage big data technologies.



    Regionally, North America is the leading market for columnar databases software, driven by the early adoption of advanced technologies and the presence of major market players. However, Asia Pacific is anticipated to exhibit the highest growth rate during the forecast period. The rapid digital transformation and increasing investments in IT infrastructure in countries like China and India are significant factors contributing to this growth. Additionally, government initiatives promoting digitalization and the expansion of the IT sector in these regions are expected to fuel market growth.



    Deployment Mode Analysis



    In the columnar databases software market, deployment modes include on-premises and cloud-based solutions. On-premises deployment involves installing software on local servers and computers, offering organizations complete control over their data and systems. This mode is particularly favored by industries with stringent data security requirements, such as banking and financial services. On-premises deployment allows for customization as per the organizational needs, providing higher flexibility in terms of integration with existing systems. However, it requires significant investment in hardware and ongoing maintenance, making it less appealing to some organizations.</

  8. Dynamic Small Business Search (DSBS)

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Apr 11, 2023
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    Small Business Administration (2023). Dynamic Small Business Search (DSBS) [Dataset]. https://catalog.data.gov/dataset/dynamic-small-business-search-dsbs-4f0da
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    Dataset updated
    Apr 11, 2023
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    Description

    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.

  9. p

    Database Management Companies in Brazil - 358 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 13, 2025
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    Poidata.io (2025). Database Management Companies in Brazil - 358 Verified Listings Database [Dataset]. https://www.poidata.io/report/database-management-company/brazil
    Explore at:
    excel, json, csvAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Brazil
    Description

    Comprehensive dataset of 358 Database management companies in Brazil as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  10. Database Platform as a Service Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Database Platform as a Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/database-platform-as-a-service-market-report
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Database Platform as a Service Market Outlook



    The Database Platform as a Service (DBPaaS) market is poised for substantial growth, with a market size that was valued at USD 9.5 billion in 2023 and is projected to reach USD 25.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. This remarkable growth is driven by factors such as the increasing adoption of cloud-based solutions, the surge in data generation across various sectors, and the need for scalable and efficient database management systems. Furthermore, the growing demand for real-time data analytics to derive actionable insights and the rising trend of digital transformation across industries are further propelling the market's expansion.



    One of the critical growth drivers of the DBPaaS market is the widespread embrace of cloud technology across businesses of all sizes. As organizations increasingly migrate their operations to the cloud, the demand for flexible and cost-effective database management solutions has surged. DBPaaS allows companies to manage databases without the need for complex on-premises infrastructure, enabling them to focus more on their core business objectives. This cloud-first approach is particularly appealing to small and medium enterprises (SMEs) that may lack the resources to maintain robust IT infrastructures, thereby fueling market growth across this segment.



    Moreover, the acceleration of digital transformation initiatives across various industries is another pivotal factor influencing the growth of the DBPaaS market. Industries such as BFSI, healthcare, IT and telecommunications, and retail are increasingly relying on digital solutions to optimize their operations, improve customer experiences, and gain competitive advantages. As these sectors generate vast amounts of data, the need for efficient and scalable database management systems becomes paramount. DBPaaS offers these industries the agility and scalability required to handle their data needs effectively, thereby contributing significantly to market expansion.



    The ongoing advancements in real-time data analytics and the increasing importance of data-driven decision-making are also boosting the DBPaaS market. Organizations today are keen on leveraging big data and analytics to enhance business operations and customer satisfaction. DBPaaS solutions provide the necessary infrastructure and tools to manage and analyze large datasets efficiently, allowing businesses to derive insights that can drive strategic initiatives. The ability to access real-time data analytics is crucial for industries like retail and BFSI, where timely decisions can significantly impact performance and profitability.



    As the DBPaaS market continues to evolve, the concept of a Database Private Cloud is gaining traction among organizations seeking enhanced security and control over their data. Unlike public cloud solutions, a Database Private Cloud offers dedicated resources and infrastructure, ensuring higher levels of data privacy and compliance with industry regulations. This model is particularly appealing to sectors such as healthcare and BFSI, where data sensitivity and confidentiality are paramount. By opting for a Database Private Cloud, businesses can maintain greater oversight of their data environments, tailoring their database management strategies to meet specific security and operational requirements. This approach not only enhances data protection but also allows for more customized and efficient database solutions, aligning with the growing demand for secure cloud-based services.



    Regionally, North America dominates the DBPaaS market due to the early adoption of innovative technologies and the presence of major cloud service providers. The region's mature IT infrastructure, coupled with a strong focus on digital transformation across verticals, creates a conducive environment for DBPaaS growth. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. Factors such as increasing investments in cloud infrastructure, rapid economic development, and the rising uptake of cloud services by SMEs in countries like India and China contribute to this regional surge. Europe also demonstrates steady growth, driven by stringent data protection regulations that encourage cloud adoption and database management solutions.



    Service Type Analysis



    The DBPaaS market is segmented based on service types into managed services and pr

  11. C

    Chinese Domestic Databases Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 15, 2025
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    Market Research Forecast (2025). Chinese Domestic Databases Report [Dataset]. https://www.marketresearchforecast.com/reports/chinese-domestic-databases-35117
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    China, Global
    Variables measured
    Market Size
    Description

    The Chinese domestic database market is experiencing robust growth, driven by increasing government initiatives promoting digital transformation and the rising adoption of cloud computing and big data analytics across various sectors. The market, estimated at $5 billion USD in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion USD by 2033. This expansion is fueled by several key factors. Firstly, the substantial investment in digital infrastructure within China, particularly in areas like smart city development and industrial automation, is creating significant demand for reliable and secure domestic database solutions. Secondly, the government's emphasis on data sovereignty and national security is pushing organizations to adopt domestically developed databases, reducing reliance on foreign technologies. Thirdly, the increasing maturity of Chinese database technology providers, coupled with their competitive pricing and localized support, is attracting both public and private sector clients. Key segments driving growth include the smart government affairs and information security sectors, followed by industry digitalization and digital industrialization. While competition is intense amongst both established players and new entrants, the long-term outlook for the Chinese domestic database market remains extremely positive. However, challenges remain. The market still faces hurdles in achieving global technological parity with established international players. Furthermore, maintaining consistent innovation and addressing issues related to data security and interoperability will be crucial for continued growth. The dependence on specific segments, like government initiatives, creates some vulnerability to policy changes. Despite these challenges, the confluence of supportive government policies, expanding digital economy, and the maturation of domestic technology providers suggests that the Chinese domestic database market is poised for substantial and sustained expansion in the coming years. Continued investment in research and development, as well as a focus on international standards compliance, will be key for Chinese companies to strengthen their position in the global database landscape.

  12. I

    Information Technology Application Innovation Databases Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Market Research Forecast (2025). Information Technology Application Innovation Databases Report [Dataset]. https://www.marketresearchforecast.com/reports/information-technology-application-innovation-databases-29420
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Information Technology Application Innovation Databases market is experiencing robust growth, driven by the increasing adoption of cloud computing, big data analytics, and the digital transformation initiatives across various sectors. 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 approximately $150 billion by 2033. Key drivers include the rising demand for real-time data processing, enhanced data security needs across sectors like Smart Government Affairs and Information Security, and the accelerating digitalization of industries. The market is segmented by database type (RDBMS and NoSQL) and application (Smart Government Affairs, Information Security, Industry Digitalization, Digital Industrialization, and Others). RDBMS currently holds a larger market share due to its established presence and maturity, but NoSQL databases are gaining traction, fueled by the need for scalability and flexibility in handling unstructured data. The strong growth in the Asia-Pacific region, particularly in China and India, is further contributing to the overall market expansion, driven by rapid technological advancements and increasing government investments in digital infrastructure. However, challenges like data privacy concerns, the complexity of database management, and the high initial investment costs act as restraints. The competitive landscape is highly fragmented, with major players including Oracle, IBM, Microsoft, Amazon (AWS), and Google Cloud Platform offering a range of database solutions. These companies are constantly innovating to improve performance, security, and scalability, leading to increased competition and fostering market growth. The shift toward cloud-based database solutions is a prominent trend, offering businesses scalability, cost-effectiveness, and improved accessibility. The convergence of databases with artificial intelligence (AI) and machine learning (ML) is also emerging as a key trend, enabling more intelligent data analysis and decision-making. Future growth will be significantly influenced by the adoption of advanced technologies like blockchain, serverless computing, and edge computing within database management systems. Continued investment in research and development will be crucial for companies to maintain their competitive edge in this rapidly evolving market.

  13. Premium eCommerce Leads | Target Shopify, Amazon, eBay Stores | Verified...

    • datacaptive.com
    Updated May 23, 2022
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    DataCaptive™ (2022). Premium eCommerce Leads | Target Shopify, Amazon, eBay Stores | Verified Owner Contacts | DataCaptive [Dataset]. https://www.datacaptive.com/technology-users-email-list/ecommerce-company-data/
    Explore at:
    Dataset updated
    May 23, 2022
    Dataset provided by
    DataCaptive
    Authors
    DataCaptive™
    Area covered
    Bahrain, Netherlands, Norway, United Arab Emirates, Belgium, Romania, Spain, Switzerland, Germany, Mexico
    Description

    Discover the unparalleled potential of our comprehensive eCommerce leads database, featuring essential data fields such as Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.

    With a focus on Shopify, Amazon, eBay, and other global retail stores, this database equips you with accurate information for successful marketing campaigns. Supercharge your marketing efforts with our enriched contact and company database, providing real-time, verified data insights for strategic market assessments and effective buyer engagement across digital and traditional channels.

    • 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data"

  14. f

    Types of internal company data/information in articles using internal...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    L. Susan Wieland; Lainie Rutkow; S. Swaroop Vedula; Christopher N. Kaufmann; Lori M. Rosman; Claire Twose; Nirosha Mahendraratnam; Kay Dickersin (2023). Types of internal company data/information in articles using internal documents from different types of companies (n = 361 articles). [Dataset]. http://doi.org/10.1371/journal.pone.0094709.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    L. Susan Wieland; Lainie Rutkow; S. Swaroop Vedula; Christopher N. Kaufmann; Lori M. Rosman; Claire Twose; Nirosha Mahendraratnam; Kay Dickersin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    1The totals in this column equal the number of articles using a particular type of data, minus instances of duplicate classification by type of company within category of type of data. These instances were: Other types of data were used by articles classified as both tobacco and transportation, both mining and manufacturing, and both tobacco and alcohol, and quantitative data from internal company studies were used by the article classified as both mining and manufacturing. The overall column total is not shown, as it is greater than the total number of included articles (n = 361) because several articles used multiple types of internal documents.2The totals in this row equal the total number of articles for each type of company, minus instances where articles used multiple types of data, of which there are too many to list. The totals for the columns are therefore not equal to the sum of the classifications within the columns. The overall row total is not shown, as it is greater than the total number of included articles (N = 361) because three articles were classified with two types of companies.

  15. d

    B2B Data | Company Data | TOP#1 Database: 360 Million Businesses Worldwide

    • datarade.ai
    Updated Mar 5, 2025
    + more versions
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    InfobelPRO (2025). B2B Data | Company Data | TOP#1 Database: 360 Million Businesses Worldwide [Dataset]. https://datarade.ai/data-products/b2b-data-company-data-top-1-database-360-million-busi-infobelpro
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    InfobelPRO
    Area covered
    Philippines, Croatia, Cambodia, Netherlands, Timor-Leste, Hong Kong, Tunisia, Poland, Congo, Panama
    Description

    Leverage high-quality B2B data with 468 enriched attributes, covering firmographics, financial stability, and industry classifications. Our AI-optimized dataset ensures accuracy through advanced deduplication and continuous updates. With 30+ years of expertise and 1,100+ trusted sources, we provide fully compliant, structured business data to power lead generation, risk assessment, CRM enrichment, market research, and more.

    Key use cases of B2B Data have helped our customers in several areas :

    1. Boost Lead Generation & Sales Outreach : Target the right businesses with precise, segmented contact lists for cold calling, email marketing, and industry-specific campaigns.
    2. Enhance CRM & Web Data for Smarter Engagement : Enrich CRM records with instant access to detailed company profiles, visitor identification, and continuous data updates.
    3. Strengthen Risk Assessment & Fraud Prevention : Evaluate supplier reliability, assess credit risk, and prevent fraud with deep firmographic and financial insights.
    4. Gain a Competitive Edge with Market Research : Analyse industry trends, benchmark competitors, and identify automation-ready sectors for strategic positioning.
    5. Optimize B2B Strategies with AI-Powered Insights : Leverage structured, compliant data to drive smarter business decisions across sales, marketing, and operations.
  16. M

    Medical Database Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 8, 2025
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    Archive Market Research (2025). Medical Database Software Report [Dataset]. https://www.archivemarketresearch.com/reports/medical-database-software-53369
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 8, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global medical database software market is experiencing robust growth, driven by the increasing adoption of electronic health records (EHRs) and the rising need for efficient health information management (HIM) systems. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching an estimated $45 billion by 2033. This expansion is fueled by several key factors: the increasing digitization of healthcare, the growing demand for data-driven insights to improve patient care and operational efficiency, and the expanding adoption of cloud-based solutions offering scalability and accessibility. Pharmaceutical companies and academic/research institutions are significant drivers, leveraging these systems for drug discovery, clinical trials management, and advanced research initiatives. However, challenges such as data security concerns, high implementation costs, and the need for robust interoperability between different systems pose restraints to market growth. The market is segmented by software type (EHR, HIM) and application (pharmaceutical companies, academic institutions, others), providing diverse opportunities for specialized vendors. Geographic expansion continues, with North America and Europe currently holding significant market share, but growth is anticipated across Asia-Pacific and other regions as healthcare infrastructure modernizes. The competitive landscape is dynamic, with established players like NextGen Healthcare and emerging companies like Pabau and EHR Your Way vying for market share. The success of individual vendors depends on factors including the scalability of their solutions, the depth of their data analytics capabilities, and the strength of their customer support network. The market's trajectory is heavily influenced by government regulations regarding data privacy and interoperability, the ongoing evolution of healthcare technology, and the increasing focus on personalized medicine. Further growth is likely to be seen in areas such as AI-powered diagnostics, predictive analytics, and advanced data visualization tools integrated within medical databases.

  17. Database Management Services Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 22, 2024
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    Dataintelo (2024). Database Management Services Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/database-management-services-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 22, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Database Management Services Market Outlook



    The global database management services market size was estimated at USD 20.5 billion in 2023 and is projected to reach USD 40.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.6% during the forecast period. A significant growth factor propelling this market includes the increasing digital transformation initiatives across various industries, driving the need for robust database management solutions.



    One of the primary growth drivers for the database management services market is the exponential growth of data generated globally. Enterprises are increasingly digitizing their operations, generating massive volumes of data that need efficient management. Furthermore, the proliferation of cloud computing has made the storage and management of data more flexible and scalable, fueling the adoption of cloud-based database management services. Another critical aspect is the advent of big data analytics, which demands advanced database management systems to handle and process large datasets effectively.



    The increasing adoption of advanced technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) is also contributing significantly to the market's growth. These technologies require robust database management systems to store and analyze the vast amounts of data they generate. Businesses are recognizing the value of data-driven insights for making informed decisions, thereby accelerating the demand for sophisticated database management services. Additionally, regulatory requirements for data storage and management are becoming more stringent, compelling organizations to adopt advanced database management systems to ensure compliance.



    The growing trend of remote work and the need for real-time data access also play a crucial role in the market's expansion. With more employees working remotely, the demand for seamless and secure data access has surged, leading to a higher need for effective database management solutions. Moreover, the rise of e-commerce and online services has led to an increased demand for efficient and scalable database management systems to handle customer data, transactions, and other critical information.



    From a regional perspective, North America holds a significant share of the database management services market, primarily due to the presence of major technology companies and early adoption of advanced technologies. The Asia-Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid industrialization, increasing digitalization, and growing investments in IT infrastructure. Europe and Latin America are also experiencing steady growth, with organizations in these regions increasingly adopting database management solutions to enhance operational efficiency and drive business growth.



    Service Type Analysis



    Database management services can be segmented by service type into consulting, implementation, maintenance, and support. Consulting services involve providing expert advice and strategies for database management tailored to an organization’s specific needs. As businesses strive to integrate more sophisticated data solutions, the demand for consulting services is expected to grow. Consultants help identify the most suitable database management systems, optimize existing infrastructure, and ensure that data policies comply with regulatory standards, thus driving the segment's growth.



    Implementation services encompass the deployment of database management systems and solutions within an organization. This segment is poised for significant growth as companies move towards modernizing their IT infrastructures. Implementation services ensure seamless integration of new systems with existing technologies, minimizing disruption and enhancing data accessibility and security. With the rise of cloud computing, implementation services are increasingly focused on migrating on-premises databases to cloud-based solutions, which offers scalability and cost-efficiency.



    Maintenance services involve the ongoing management and upkeep of database systems to ensure their optimal performance. This includes regular updates, security patches, and troubleshooting to prevent downtime and data loss. As businesses become more reliant on data-driven operations, the importance of maintenance services cannot be overstated. These services ensure that databases remain functional, secure, and efficient, thereby supporting continuous business operations and data availabilit

  18. Firm-level business dynamism from the Longitudinal Business Database:...

    • ons.gov.uk
    xlsx
    Updated Dec 3, 2024
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    Office for National Statistics (2024). Firm-level business dynamism from the Longitudinal Business Database: summary statistics, UK [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/changestobusiness/businessbirthsdeathsandsurvivalrates/datasets/firmlevelbusinessdynamismestimatesfromthelongitudinalbusinessdatabasesummarystatisticsuk
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Summary statistics of business dynamism taken from the Longitudinal Business Database (LBD), UK.

  19. Firmographic Data for all Businesses in Bulgaria ( 1.03 M Businesses )

    • datarade.ai
    Updated Sep 7, 2022
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    Techsalerator (2022). Firmographic Data for all Businesses in Bulgaria ( 1.03 M Businesses ) [Dataset]. https://datarade.ai/data-products/firmographic-data-for-all-businesses-in-bulgaria-1-03-m-bus-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Sep 7, 2022
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Bulgaria
    Description

    Techsalerator covers all firmographic data of businesses in Bulgaria. Through our diligent local sourcing, we are able to provide firmographic data on businesses in Bulgaria.

    This include: Sales Volume/ Number of employees/ Number of locations / Years in Business

    Companies use our firmographic data to enhance their databases and to do Telemarketing. They also use it to gain insight on other businesses.

  20. Latin America: main IT security incidents among companies 2021

    • statista.com
    Updated Dec 15, 2023
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    Statista (2023). Latin America: main IT security incidents among companies 2021 [Dataset]. https://www.statista.com/statistics/1180445/leading-it-security-incidents-companies-latin-america/
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    Dataset updated
    Dec 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    LAC, Latin America
    Description

    During a 2021 survey conducted among security professionals in companies across Latin America, 24 percent of respondents stated that the company they worked for had been infected by malware. Meanwhile, 17 percent reported social engineering attacks, while 13 percent reported unauthorized accesses to their business applications and/or databases.

Share
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Close
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Office For National Statistics (2024). Business Structure Database, 1997-2023: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-6697-16
Organization logo

Business Structure Database, 1997-2023: Secure Access

Explore at:
492 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
2024
Dataset provided by
UK Data Servicehttps://ukdataservice.ac.uk/
datacite
Authors
Office For National Statistics
Description

The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.

The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).

The data are divided into 'enterprises' and 'local units'. An enterprise is the overall business organisation. A local unit is a 'plant', such as a factory, shop, branch, etc. In some cases, an enterprise will only have one local unit, and in other cases (such as a bank or supermarket), an enterprise will own many local units.

For each company, data are available on employment, turnover, foreign ownership, and industrial activity based on Standard Industrial Classification (SIC)92, SIC 2003 or SIC 2007. Year of 'birth' (company start-up date) and 'death' (termination date) are also included, as well as postcodes for both enterprises and their local units. Previously only pseudo-anonymised postcodes were available but now all postcodes are real.

The ONS is continually developing the BSD, and so researchers are strongly recommended to read all documentation pertaining to this dataset before using the data.

Linking to Other Business Studies
These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Latest Edition Information
For the sixteenth edition (March 2024), data files and a variable catalogue document for 2023 have been added.

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