[Keywords] Market include Qlik, Wolters Kluver, H.I.G. Capital, Datasift, TransUnion

This dataset provides information about the number of properties, residents, and average property values for Bloomberg Lane cross streets in Inver Grove Heights, MN.

In 2019, across companies with Environmental, Social and Governance (ESG) data available on Bloomberg Terminal, companies with various sustainability governance structure had higher environmental disclosure scores. With involvement of the directors or executives, sustainability goals of the companies are better.

Wiley Bloomberg Press is a book publisher. They published 6 books in our database by 6 different authors between 2013 and 2015.

Explore Bloomberg's in-depth coverage of precious metals markets, including gold, silver, platinum, and palladium. Access real-time data, market analysis, and insights to guide informed investment decisions and understand the impact of economic factors on metal prices.

This dataset is about books and is filtered where the author is Linda Dale Bloomberg, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

Green bond indices make it easier for investors to track the performance of green bonds and compare it with other investments. Bloomberg Barclays MSCI Global Green Bond Index was launched in 2014 with the aim provide a benchmark for the green bonds market. Between 2015 and 2020, the Bloomberg Barclays MSCI Global Green Bond Index saw an overall increase, reaching a value of 121.91 as of the end of 2020. By the end of 2022, however, the index value fell to 86.94, before increasing again to 96.09 by the end of 2023.

This dataset is about books and is filtered where the book series is Bloomberg small business, featuring 9 columns including author, BNB id, book, book publisher, and book series. The preview is ordered by publication date (descending).

The global financial data services market is projected to exhibit robust growth over the coming years, driven by the increasing adoption of data-driven decision-making, regulatory requirements, and the proliferation of digital technologies. The market is anticipated to reach a valuation of USD 108.39 million by 2033, expanding at a CAGR of 5.9% from 2025 to 2033. Key market drivers include the growing need for real-time and accurate financial data, the increasing use of artificial intelligence (AI) and machine learning (ML) for data analysis, and the rising demand for financial data by non-financial institutions. Key trends shaping the industry include the growing adoption of cloud-based data services, the emergence of real-time data analytics platforms, the increasing focus on data privacy and security, and the proliferation of mobile financial data services. The market is segmented into application (financial companies, non-financial companies, colleges & academies, non-profit institutions, individual investors), type (macroeconomic data, industrial data), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). Key market players include Wind, Choice, CSMAR, Bloomberg, Hexun, Resset, iFinD, Investing.com, Sinofin, and others. Regional markets are expected to exhibit varying growth trajectories, with Asia Pacific projected to witness significant growth driven by the burgeoning financial sectors in China and India. North America and Europe are expected to maintain their dominance in terms of market share.

Cross Currency Excel Pricing Workbook with Market Data Xccy.xlsx

Bloomberg Trade & Yield Curve Snapshots Bloomberg SWPM.docx

According to Cognitive Market Research, the global Financial Data Service market size will be USD 24152.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.50% 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 9661.00 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 7245.75 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 5555.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1207.63 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.9% 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 483.05 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031.
Datafeed/API solutions are the dominant segment, as they allow seamless data integration into existing systems and platforms, making them ideal for companies requiring real-time data across multiple applications

Market Dynamics of Financial Data Service Market

Key Drivers for Financial Data Service Market

Increased Data-Driven Decision-Making to Boost Market Growth

As digital transformation sweeps through financial services, data-driven decision-making has become essential for businesses to remain competitive. Institutions, both financial and non-financial, are increasingly leveraging financial data to guide strategic investments, manage risks, and streamline operations. By utilizing real-time data and predictive analytics, companies gain actionable insights to optimize their investment portfolios and financial planning. With the enhanced capability to analyze data trends and assess market scenarios, businesses can mitigate risks more effectively, making this driver critical to the growth of the financial data service market. For instance, in September 2022, Alibaba Cloud, the digital technology and intellectual backbone of Alibaba Group launched a comprehensive suite of Alibaba Cloud for Financial Services solutions. Comprising over 70 products, these solutions are designed to help financial services institutions of all sizes across banking, FinTech, insurance, and securities, digitalize their operations

Advancements in Analytics Technology to Drive Market Growth

The integration of advanced analytics technologies like artificial intelligence (AI) and machine learning (ML) in financial data services has significantly enhanced the accuracy and scope of market insights. AI and ML enable companies to process vast amounts of financial data, identify patterns, and make predictions, thus facilitating strategic planning and investment optimization. These technologies also allow for real-time insights, giving firms a competitive advantage in rapidly evolving markets. With continuous improvements in AI and ML, the demand for advanced data services is expected to grow, positioning this as a key driver of market expansion.

Restraint Factor for the Financial Data Service Market

High Cost of Data Services, will Limit Market Growth

The high cost associated with premium financial data services is a significant restraint, particularly for small and medium-sized enterprises (SMEs). Many advanced platforms and data feeds come with substantial subscription fees, limiting their accessibility to larger organizations with more considerable budgets. This cost barrier restricts smaller firms from fully integrating advanced data insights into their operations. As a result, high subscription costs prevent widespread adoption among SMEs, hindering the financial data service market’s overall growth potential.

Impact of Covid-19 on the Financial Data Service Market

Covid-19 significantly impacted the Financial Data Service Market as companies increasingly relied on accurate data analytics for rapid decision-making amid market volatility. During the pandemic, financial data providers observed heightened demand for real-time and historical data to model economic scenarios and assess risks accurately. This shift spurred technological advancements a...

As of 2023, Sustainalytics was the third most popular source for Environmental, Social, and Governance (ESG) data among institutional investors based in Europe. Bloomberg ranked second, with 19 percent of survey respondents stating they used this source for ESG data. MSCI was the leading source among institutional investors surveyed, with 23 percent of investors having a preference for this source.

This dataset contains questionnaire data captured from 203 City of Boulder residents in April 2018 regarding how they travel throughout the city. Data was used for the city's work on its Bloomberg Philanthropies Mayors Challenge project. A survey questionnaire can be downloaded here.More information about the Bloomberg Philanthropies Mayors Challenge project can be found at: https://bouldercolorado.gov/newsroom/boulder-named-as-finalist-in-bloomberg-philanthropies-2018-mayors-challenge

The code replicates the results of the manuscript: Lending over the technology lifecycle: Strategies for information search by banks in renewable energy project finance.

The data for the code is sourced from Bloomberg New Energy Finance (BNEF), and the Bloomberg Terminal. The authors do not have the right to share the raw data. Readers are recommended to download the raw data from Bloomberg New Energy Finance and the Bloomberg Terminal before running the scripts.

For any questions and requests, please contact Anurag Gumber (corresponding author).

Notes on version #2: Code updated to reflect global analysis and changed table orders in the manuscript.

The dataset is updated to March 21, 2021. The data is collected from Bloomberg https://www.bloomberg.com/graphics/covid-vaccine-tracker-global-distribution/, which gathered vaccine information from government websites, official statements and Bloomberg interviews. Local governments and the CDC sometimes report different totals for the same jurisdiction; in these cases, Bloomberg uses the higher number. It can take several days for counts to be reported to databases. ****There might be several days of data missing because the crawler was down.

Historical price and volatility data for Vietnamese Dong in Bloomberg Galaxy Crypto Index across different time periods.

Given the contradictory empirical evidence on the relationship between green R&D expenditure and corporate Green Innovation performance (GIP), The present research study is a distinctive investigation into the moderating impacts of ESG reporting on this relationship. We utilized a data collection of 3,846, firm-year observations of A-share listed firms in China from 2016 to 2022 from CSMAR and Bloomberg databases. The firm’s Corporate GIP is assessed and measured by looking at the total quantity of green patents. Lastly, models with multiple regression analyses and fixed effects were employed. The findings show that ESG reporting has a positive and significant impact on the association between corporate GIP and green R&D expenditure, implying its compensating and supportive function in the form of green signals in green outputs. This research could help executives and lawmakers, especially in developing countries to build innovative environmental strategies for business sustainability.

This is data and slides for an anticipated forthcoming publication.

Telecommunications companies (telcos) provide infrastructure essential to the delivery of digital content. Further, investment in next-generation communication technologies is also seen as critical to overall competitiveness of a market. This dataset results from an examination of the case to be made for European telco consolidation, through comparison with both telcos in the more-concentrated US market, and with other corporations involved in the information or ``eye-ball'' value chain. We find that both profits and growth for EU and US telcos are already comparable before investment in infrastructure, and that in line with standard theory, more value is returned to customers in the form of infrastructure investment in the less-concentrated, EU market. Profits are also in line with other companies in the value chain, with the notable exception of the extremely-concentrated digital ad exchanges segment.

The data for the charts was collected from Bloomberg, so we therefore have protected the primary datasheet, available on specific request.

No discrepancies with information available from other public sources was identified in respect of the data on revenue. However, companies do not report operating profit (EBIT) and EBITDA systematically in the same manner. We based our calculation on the Bloomberg adjusted EBIT and EBITDA. We thank Benedikt Ströbl for comparing the Bloomberg revenue, EBIT and EBITDA figures with other available sources for all companies in the sample. In particular, the data from Bloomberg was compared to data from Alphaquery and 10-K and annual reports.

The below is a non-exhaustive list of the data points for which the Bloomberg adjusted data displayed a delta compared to the data that could be collected from the public sources used for verification, where only some years displayed a delta in the data the year is specified in brackets: (i) in respect of EBIT: Publicis (2018, 2019), NYT (2017) and Axel Springer (2017 and 2019); (ii) in respect of EBITDA (additionally to EBIT list): Verizon, Bertelsmann (2018), Interpublic (2019).

Finally, to avoid any confusion in respect of the segment data for Alphabet, the data is presented as retrieved from Bloomberg in full on the tab “Alphabet”, data from the SEC reports used on top of the Bloomberg data to estimate the EBITDA is also reproduced on this tab.

A minimal dataset from a survey of 226 health facilities in Uganda supported by PEPFAR. 206 of the facilities were transitioned from PEPFAR support and 20 were maintained. Variables pertain to service discontinuation and perceived changes in quality and access to HIV services after transition.

EDI Corporate Actions Data provides information on 60 crucial event types including dividends, splits, spin-offs, name changes, ID changes including symbols, ISINs, Bloomberg codes and new listings. EDI's history of corporate action events dates back to January 2007 and uses unique Security IDs that can track the history of events by issuer since January 2007.

Choose to receive accurate corporate actions data via an SFTP connection either 4x daily or end-of-day. Proprietary format. ISO 15022 message standard, providing MT564 & 568 announcements.