12 datasets found
  1. Oracle: revenue by segment 2008-2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Oracle: revenue by segment 2008-2024 [Dataset]. https://www.statista.com/statistics/269728/oracles-revenue-by-business-segment/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Oracle’s cloud services and license support division is the company’s most profitable business segment, bringing in over ** billion U.S. dollars in its 2024 fiscal year. In that year, Oracle brought in annual revenue of close to ** billion U.S. dollars, its highest revenue figure to date. Oracle Corporation Oracle was founded by Larry Ellison in 1977 as a tech company primarily focused on relational databases. Today, Oracle ranks among the largest companies in the world in terms of market value and serves as the world’s most popular database management system provider. Oracle’s success is not only reflected in its booming sales figures, but also in its growing number of employees: between fiscal year 2008 and 2021, Oracle’s total employee number has grown substantially, increasing from around ****** to *******. Database market The global database market reached a size of ** billion U.S. dollars in 2020. Database Management Systems (DBMSs) provide a platform through which developers can organize, update, and control large databases, with products like Oracle, MySQL, and Microsoft SQL Server being the most widely used in the market.

  2. k

    Bank Claims on Public Sector (Government and Quasi-Government)

    • datasource.kapsarc.org
    Updated Jul 1, 2025
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    (2025). Bank Claims on Public Sector (Government and Quasi-Government) [Dataset]. https://datasource.kapsarc.org/explore/dataset/monthly-bank-claims-on-public-sector-government-and-quasi-government/
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    Dataset updated
    Jul 1, 2025
    Description

    Explore monthly data on government and quasi-government bonds, bank credit to public sector enterprises, and more. Analyze trends and insights on money flow in Saudi Arabia with SAMA Monthly dataset.

    Govt. & Quasi-Govt Bonds, Bank Credit to Public Sector Enterprises, Credit, Bonds, Bank, Money, SAMA Monthly

    Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Important notes:The 1982 - 1992 data were sourced from SAMA Yearly Statistics.Bank Credit to Public Sector Enterprises: Includes Loans, Advances & Overdrafts.Govt. & Quasi-Govt Bonds: Includes international bonds & sukuk bought by banks from the secondary market. The data are updated. The data of foreign bank branches operating in Saudi Arabia have been amended and updated as per international best practices and the Monetary and Financial Statistics Manual.

  3. U

    Replication data for: The Role of Constituency, Party, and Industry in...

    • dataverse.unc.edu
    • dataverse-staging.rdmc.unc.edu
    bin, html, pdf +3
    Updated Sep 23, 2016
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    UNC Dataverse (2016). Replication data for: The Role of Constituency, Party, and Industry in Pennsylvania's Act 13 [Dataset]. http://doi.org/10.15139/S3/12317
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    text/x-stata-syntax; charset=us-ascii(5699), bin(148), text/plain; charset=us-ascii(145), pdf(193292), html(9555), tsv(781)Available download formats
    Dataset updated
    Sep 23, 2016
    Dataset provided by
    UNC Dataverse
    Area covered
    Pennsylvania
    Description

    While a large body of research exists regarding the role of industry money on roll-call voting in the U.S. Congress, there is surprisingly little scholarship pertaining to industry influence on state politics. This study fills this void in an analysis of campaign donations and voting during passage of Act 13 in Pennsylvania during 2011 and 2012. After collecting information about natural gas production in state legislative districts, we estimate a series of multivariate models aimed at uncovering whether campaign donations contributed to a more favorable policy outcome for industry. Our findings indicate that campaign donations played a small but systematic role in consideration of the controversial legislation, which represented one of the first and most important state-level regulatory reforms for the hydraulic fracturing industry.

  4. Ai Based Fraud Detection Tools Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Ai Based Fraud Detection Tools Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/ai-based-fraud-detection-tools-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 16, 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

    AI-Based Fraud Detection Tools Market Outlook



    The global AI-based fraud detection tools market size was valued at approximately USD 6.5 billion in 2023 and is projected to reach USD 22.8 billion by 2032, growing at a robust CAGR of 15.1% during the forecast period. The significant growth factors driving this market include the increasing sophistication of fraudulent activities, the growing adoption of AI and machine learning technologies in various sectors, and the heightened demand for real-time fraud detection solutions.



    One of the primary growth factors for the AI-based fraud detection tools market is the rising complexity of fraudulent activities. In today's digital age, fraudsters are employing increasingly sophisticated techniques to breach security systems, making traditional detection methods inadequate. AI-based solutions, which leverage advanced algorithms and machine learning, are capable of analyzing large volumes of data to identify patterns and anomalies indicative of fraud. This capability is crucial for organizations seeking to protect their assets and maintain customer trust in an environment where cyber threats are continually evolving.



    Another significant growth driver is the widespread adoption of AI and machine learning technologies across various industries. Businesses are recognizing the potential of these technologies to enhance their fraud detection capabilities, leading to increased investments in AI-driven solutions. The banking and financial services sector, in particular, has been at the forefront of adopting AI-based fraud detection tools to combat financial crimes such as identity theft, credit card fraud, and money laundering. Furthermore, the retail and e-commerce sectors are increasingly implementing these tools to safeguard against fraudulent transactions and account takeovers.



    The growing demand for real-time fraud detection solutions is also propelling the market forward. Traditional fraud detection systems often rely on rule-based approaches that can be slow and reactive, allowing fraudulent activities to go undetected until significant damage has been done. In contrast, AI-based solutions can process and analyze data in real-time, enabling organizations to identify and respond to threats rapidly. This real-time capability is essential for minimizing losses and mitigating risks, particularly in sectors where the speed of transactions is critical, such as online retail and financial services.



    Regionally, North America currently dominates the AI-based fraud detection tools market, owing to the high adoption rate of advanced technologies and the presence of major industry players. However, other regions like Asia Pacific and Europe are also experiencing significant growth. Asia Pacific, in particular, is expected to exhibit the highest CAGR during the forecast period, driven by the increasing digitization of economies, rising internet penetration, and the growing awareness of cybersecurity threats. Europe is also witnessing substantial growth due to stringent regulatory requirements and the increasing focus on data privacy and security.



    Component Analysis



    The AI-based fraud detection tools market can be segmented by component into software, hardware, and services. The software segment is expected to hold the largest market share during the forecast period. This dominance can be attributed to the continuous advancements in AI algorithms and machine learning models, which enhance the accuracy and efficiency of fraud detection systems. Furthermore, the software solutions are designed to be scalable and easily integrated into existing systems, making them an attractive option for organizations of all sizes.



    Hardware components, though not as dominant as software, play a crucial role in the deployment of AI-based fraud detection systems. High-performance computing hardware, including GPUs and specialized AI processors, are essential for handling the large datasets and complex computations required for real-time fraud detection. As the demand for more powerful and efficient hardware grows, this segment is expected to see steady growth, particularly in large enterprises that require robust infrastructure to support their AI initiatives.



    The services segment, encompassing consulting, integration, and maintenance services, is also poised for significant growth. Organizations often lack the in-house expertise required to develop and implement AI-based fraud detection systems, leading to an increased reliance on external service providers. These services help organizations to customize and opti

  5. b

    Apple Statistics (2025)

    • businessofapps.com
    Updated Mar 16, 2021
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    Business of Apps (2021). Apple Statistics (2025) [Dataset]. https://www.businessofapps.com/data/apple-statistics/
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    Dataset updated
    Mar 16, 2021
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Apple is one of the most influential and recognisable brands in the world, responsible for the rise of the smartphone with the iPhone. Valued at over $2 trillion in 2021, it is also the most valuable...

  6. Regional gross value added (balanced) by industry: all ITL regions

    • ons.gov.uk
    • tnaqa.mirrorweb.com
    • +1more
    xlsx
    Updated Apr 17, 2025
    + more versions
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    Office for National Statistics (2025). Regional gross value added (balanced) by industry: all ITL regions [Dataset]. https://www.ons.gov.uk/economy/grossvalueaddedgva/datasets/nominalandrealregionalgrossvalueaddedbalancedbyindustry
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    xlsxAvailable download formats
    Dataset updated
    Apr 17, 2025
    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

    Description

    Annual estimates of balanced UK regional gross value added (GVA(B)). Current price estimates, chained volume measures and implied deflators for UK countries, ITL1, ITL2 and ITL3 regions, with a detailed industry breakdown.

  7. T

    Egypt Tourism Revenues

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Egypt Tourism Revenues [Dataset]. https://tradingeconomics.com/egypt/tourism-revenues
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    xml, excel, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jun 30, 2010 - Jun 30, 2024
    Area covered
    Egypt
    Description

    Tourism Revenues in Egypt increased to 14.40 USD Billion in 2024 from 13.60 USD Billion in 2023. This dataset provides - Egypt Tourism Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. T

    United States Tourism Revenues

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Tourism Revenues [Dataset]. https://tradingeconomics.com/united-states/tourism-revenues
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1999 - Apr 30, 2025
    Area covered
    United States
    Description

    Tourism Revenues in the United States increased to 21584 USD Million in April from 20071 USD Million in March of 2025. This dataset provides - United States Tourism Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  9. T

    India Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 12, 2025
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    TRADING ECONOMICS (2025). India Inflation Rate [Dataset]. https://tradingeconomics.com/india/inflation-cpi
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2012 - May 31, 2025
    Area covered
    India
    Description

    Inflation Rate in India decreased to 2.82 percent in May from 3.16 percent in April of 2025. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. d

    China Retail Investor Sentiment - Funds | Alternative Data | Daily Update |...

    • datarade.ai
    .json, .csv
    Updated Mar 2, 2024
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    Datago Technology Limited (2024). China Retail Investor Sentiment - Funds | Alternative Data | Daily Update | ETFs | 23000+ Funds [Dataset]. https://datarade.ai/data-products/gacris-fund-guba-analytics-for-china-retail-investor-sentime-datago-technology-limited
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Mar 2, 2024
    Dataset authored and provided by
    Datago Technology Limited
    Area covered
    China
    Description

    China's public fund industry has experienced rapid expansion, marked by heightened market activity and increasing investor participation. As of September 2024, the sector serves over 700 million investors and manages assets totaling 32 trillion yuan. The growing awareness of wealth management has led to a surge in retail investor involvement, with fund allocations becoming more diversified.

    GACRIS-fund is designed to analyze and interpret retail investor sentiment within this dynamic market. Leveraging proprietary NLP models optimized for Chinese financial social media, the dataset extracts valuable insights from discussions on Guba’s fund forum. By systematically processing vast amounts of investor discourse, GACRIS-fund captures sentiment trends and fund popularity on a daily basis while providing detailed analytics on individual posts and user profiles.

    By decoding investor sentiment through social media interactions, GACRIS-fund offers financial professionals, fund managers, and researchers a comprehensive view of retail investor behavior. Through its real-time tracking of sentiment shifts, the dataset serves as a valuable tool for understanding market dynamics and informing investment strategies in China’s fast-evolving fund industry.

    • Coverage: 23000+ funds across 32 categories, including 1000+ ETFs • History: From 2010-05-12 • Update Frequency: Daily

  11. Instagram: most used hashtags 2024

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
    + more versions
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    Statista Research Department (2025). Instagram: most used hashtags 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    As of January 2024, #love was the most used hashtag on Instagram, being included in over two billion posts on the social media platform. #Instagood and #instagram were used over one billion times as of early 2024.

  12. Instagram: distribution of global audiences 2024, by age group

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
    + more versions
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    Stacy Jo Dixon (2025). Instagram: distribution of global audiences 2024, by age group [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, almost 32 percent of global Instagram audiences were aged between 18 and 24 years, and 30.6 percent of users were aged between 25 and 34 years. Overall, 16 percent of users belonged to the 35 to 44 year age group.

                  Instagram users
    
                  With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 362.9 million and 169.7 million Instagram users each.
    
                  Instagram features
    
                  One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature.
                  As of the second quarter of 2021, Snapchat had 293 million daily active users.
    
  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). Oracle: revenue by segment 2008-2024 [Dataset]. https://www.statista.com/statistics/269728/oracles-revenue-by-business-segment/
Organization logo

Oracle: revenue by segment 2008-2024

Explore at:
Dataset updated
Jun 26, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

Oracle’s cloud services and license support division is the company’s most profitable business segment, bringing in over ** billion U.S. dollars in its 2024 fiscal year. In that year, Oracle brought in annual revenue of close to ** billion U.S. dollars, its highest revenue figure to date. Oracle Corporation Oracle was founded by Larry Ellison in 1977 as a tech company primarily focused on relational databases. Today, Oracle ranks among the largest companies in the world in terms of market value and serves as the world’s most popular database management system provider. Oracle’s success is not only reflected in its booming sales figures, but also in its growing number of employees: between fiscal year 2008 and 2021, Oracle’s total employee number has grown substantially, increasing from around ****** to *******. Database market The global database market reached a size of ** billion U.S. dollars in 2020. Database Management Systems (DBMSs) provide a platform through which developers can organize, update, and control large databases, with products like Oracle, MySQL, and Microsoft SQL Server being the most widely used in the market.

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