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.
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.
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.
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
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.
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
Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
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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...
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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
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.
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.
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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.