View LSEG's ICE Data Pricing and Reference Data, and find real-time market data, time-sensitive pricing, and reference data for securities trading.

LSEG's Entity and Reference Data offers both static and dynamic data to help classify and describe financial instrument characteristics. Browse the datasets.

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 of 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.

Trends for the Financial Data Service Market

Blockchain-based Data Services as an opportunity for the market

Blockchain-based data services offer a secure, transparent, and decentralized approach to financial data management. By leveraging blockchain technology, finance data services can provide tamper-proof and auditable data storage, ensuring the integrity and accuracy of financial data. This can help...

This dataset provides comprehensive end-of-day (EoD) pricing data for commodities options and futures, offering insights across a variety of currencies. It caters to traders, analysts, and institutions involved in commodity markets, providing critical data for hedging, risk management, and market analysis.

Key features of the dataset include:

End-of-Day Prices: Daily closing prices for a broad range of commodities options and futures. Commodities Coverage: Includes key commodity sectors such as energy (oil, natural gas), metals (gold, silver), agriculture (wheat, corn), and more. Multi-Currency Data: Pricing information is available in various currencies, allowing for global market analysis and cross-currency comparisons. Trading Volume & Open Interest: Data on the number of contracts traded and outstanding positions for market activity insights.

This dataset is essential for those tracking the commodities market, providing actionable data for strategy development, risk management, and financial decision-making.

Choose reference data from EDI and you will benefit from:

• A global data vendor offering affordable pricing structure.
• Fully customized data set to precisely fit your requirements.
• Flexible enterprise data licence options, we sell data, we do not rent data.
• Services from a company whose on-going commitment is to provide quality reference data solutions.

We publish the full HESA Finance return as open data, with the exception of text information provided by HE providers for the reference of funding and regulatory bodies. These tables include data for 2015/16 onward, unless otherwise specified.

Browse LSEG's market-leading global Pricing and Market Data for the financial markets, providing the broadest range of cross-asset market and pricing data.

The Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

This dataset offers end-of-day (EoD) pricing for a wide range of financial derivatives, including securities and interest rate futures. It focuses on key benchmarks such as SONIA (Sterling Overnight Index Average), SOFR (Secured Overnight Financing Rate), and €STR (Euro Short-Term Rate), covering major currencies: USD, GBP, and EUR as well as others. The data is crucial for financial institutions, analysts, and traders involved in interest rate hedging and risk management.

Key features of the dataset include:

End-of-Day Prices: Daily closing prices for interest rate futures across multiple currencies. Interest Rate Benchmarks: Data on SONIA, SOFR, and €STR futures, reflecting short-term interest rate movements. Cross-Currency Data: Pricing for USD, GBP, and EUR-denominated futures, allowing cross-market comparisons and analysis. Trading Volume & Open Interest: Insights into market activity and outstanding contract positions. This dataset supports accurate risk assessment, financial modeling, and investment strategy development in the global derivatives market.

Choose reference data from EDI and you will benefit from:

• A global data vendor offering affordable pricing structure.
• Fully customized data set to precisely fit your requirements.
• Flexible enterprise data licence options, we sell data, we do not rent data.
• Services from a company whose on-going commitment is to provide quality reference data solutions.

Browse LSEG's I/B/E/S Estimates, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

Filtered view of vendor payments for Eastmark and Cadence Community Facility Districts (CFDs). These CFD's were formed at the request of the property developers through the City of Mesa as a means of obtaining community funding for property development. Funding is used for building parks, roadways, sewer, water storm drain, signage, street light, landscape and related improvements. Bonds are issued and assessed to the property owners within a CFD.

Listing of payments made to vendors. Includes Paid Date, Payee, Amount and the accounting string that describes which fund and organizational department benefited from the transaction. The data contained on this website is for informational purposes only and represents vendor payments for the City of Mesa. The data as represented is unaudited and may contain omissions. For audited financial statements please reference the Comprehensive Annual Financial Report (CAFR). Certain Mesa vendor names have been redacted for confidentiality and safety issues; therefore not all vendor names are represented. Any payments referenced as Personal Services are benefits relevant to payroll but are not specific to employee wages. Prior to May 1, 2014, debt service payments were not recorded as a check payments and are not represented in this data. ASRS and Utility payments are not recorded as check payments and are not represented in this data. Information of a sensitive or secure nature has been flagged as “Redacted”.

Change-In-Cash Time Series for S&P Global Inc. S&P Global Inc., together with its subsidiaries, provides credit ratings, benchmarks, analytics, and workflow solutions in the global capital, commodity, and automotive markets. It operates through five segments: S&P Global Market Intelligence, S&P Global Ratings, S&P Global Commodity Insights, S&P Global Mobility, and S&P Dow Jones Indices. The S&P Global Market Intelligence segment provides multi-asset-class data and analytics integrated with purpose-built workflow solutions. This segment offers Desktop, a product suite that provides data, analytics, and third-party research for global finance and corporate professionals; data and advisory solutions for research, reference data, market data, derived analytics, and valuation services; enterprise solutions, such as software and workflow solutions; and credit and risk solutions for selling ratings' credit ratings and related data and research, analytics, and financial risk solutions. The S&P Global Ratings segment operates as an independent provider of credit ratings, research, and analytics offering investors and other market participants information, ratings, and benchmarks. The S&P Global Commodity Insights segment provides information and benchmark prices for the commodity and energy markets. The S&P Global Mobility segment offers solutions serving the full automotive value chain, including vehicle manufacturers (original equipment manufacturers), automotive suppliers, mobility service providers, retailers, consumers, and finance and insurance companies. The S&P Dow Jones Indices segment operates as an index provider that maintains various valuation and index benchmarks for investment advisors, wealth managers, and institutional investors. It has operations in the United States, European region, Asia, and internationally. S&P Global Inc. was founded in 1860 and is headquartered in New York, New York.

Against the background of digital development, this study’s research object is the platform-based highway transportation supply chain. It also analyzes two modes of supply chain financial credit financing, namely, upstream, and downstream enterprises of the platform, and network freight platform as the main financing body. Notably, the financial provider sets up a transaction credit based on the principle of business truth, and closed-loop transactions, determine the upper limit of the credit line based on the principle of financing self-compensation, build the expected profit maximization model, and establish the optimal credit line. Combined with the Highway Freight Index and Logistics Prosperity Index, the dynamic early warning value is established for the financing mode, where the platform as the main financing body. Through numerical analysis, the credit line and expected profit increase with the transaction credit, expected freight volume, and credit interest rate under the two modes, and the increase deriving from the credit interest rate is more significant. Finally, this paper describes the two-dimensional credit matrix of the financing subject via transaction credit and credit interest rate, which provides an intuitive credit reference for financial institutions to conduct the credit financing of the platform-based highway transportation supply chain.

Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: BIORC CFI data was reported at 0.000 % pa in 03 Jul 2019. This stayed constant from the previous number of 0.000 % pa for 02 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: BIORC CFI data is updated daily, averaging 0.000 % pa from Jan 2012 (Median) to 03 Jul 2019, with 1865 observations. The data reached an all-time high of 0.000 % pa in 03 Jul 2019 and a record low of 0.000 % pa in 03 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: BIORC CFI data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB045: Lending Rate: per Annum: by Banks: Pre-Fixed: Corporate Entities: Vendor. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

Listing of payments made to vendors. Includes Paid Date, Payee, Amount and the accounting string that describes which fund and organizational department benefited from the transaction. The data contained on this website is for informational purposes only and represents vendor payments for the City of Mesa. The data as represented is unaudited and may contain omissions. For audited financial statements please reference the Comprehensive Annual Financial Report (CAFR). Certain Mesa vendor names have been redacted for confidentiality and safety issues; therefore not all vendor names are represented. Any payments referenced as Personal Services are benefits relevant to payroll but are not specific to employee wages. Prior to May 1, 2014, debt service payments were not recorded as a check payments and are not represented in this data. ASRS and Utility payments are not recorded as check payments and are not represented in this data. Information of a sensitive or secure nature has been flagged as “Redacted”.

The global Wealth Management Software market is experiencing robust growth, projected to reach $5.31 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 14.04% from 2025 to 2033. This expansion is fueled by several key factors. Increasing adoption of digital channels by wealth management firms to enhance client engagement and improve operational efficiency is a significant driver. The rising demand for personalized financial advice and sophisticated portfolio management tools, coupled with the growing preference for cloud-based solutions offering scalability and cost-effectiveness, further contribute to market growth. Regulatory changes emphasizing data security and compliance also drive investment in advanced software solutions. The market is segmented by deployment type (on-premise and cloud), with cloud-based solutions gaining significant traction due to their flexibility and accessibility. The end-user industry segmentation includes banks, trading firms, brokerage firms, investment management firms, and other end-user industries, with banks and investment management firms currently representing the largest market share. Competition is intense, with major players like Avaloq, FIS, Temenos, and others vying for market dominance through innovation, strategic partnerships, and acquisitions. The forecast period (2025-2033) anticipates continued strong growth, driven by technological advancements such as artificial intelligence (AI) and machine learning (ML) integration within wealth management platforms. These technologies are enabling more sophisticated risk management, personalized investment strategies, and improved client service. However, challenges remain, including the high initial investment costs associated with implementing new software solutions and the need for robust cybersecurity measures to protect sensitive client data. Despite these restraints, the long-term outlook for the wealth management software market remains positive, indicating significant opportunities for both established players and emerging technology providers. Geographical expansion, particularly in rapidly developing economies in Asia and Latin America, is another key factor contributing to market expansion. Recent developments include: March 2023 - WealthTech GBST rebranded and released an improved SaaS Composer wealth management administration software version. In reference to its roots, the company has kept its name while developing a brand strategy and new visual identity based on the updated backronym., July 2022 - FIS, a financial technology company, announced it had enhanced its wealth management solutions by expanding and enhancing its self-invested personal pension (SIPP) servicing in the United Kingdom., April 2022 - HCL Technologies (HCL) expanded its global partnership with Avaloq, a provider of digital banking solutions, to develop a lifecycle management center for digital wealth management. This partnership will enable more financial institutions to leverage Avaloq's innovative technology., March 2022 - SHUAA Capital PSC, the asset management and investment banking platform in the Middle East, completed a strategic investment in UAE-based fintech, Souqalmal. The acquisition will provide growth capital, allowing Souqalmal to execute an ambitious growth plan over the next 24 months.. Key drivers for this market are: Rising Need to Integrate Business Capabilities and Channels in the Wealth Management Process, Requirement of Customer-centric Business Priorities, such as Fully Digitized Client Onboarding. Potential restraints include: Rising Need to Integrate Business Capabilities and Channels in the Wealth Management Process, Requirement of Customer-centric Business Priorities, such as Fully Digitized Client Onboarding. Notable trends are: Investment Management Firms are Expected to Drive Market Growth.

The IvyDB Signed Volume dataset, available as an add-on product for IvyDB US, contains daily data on detailed option trading volume. Trades in the IvyDB US dataset are assigned as either buyer-initiated or seller-initiated based on the trade price and the bid-ask quote at the time of the trade. The total assigned daily volume is aggregated and updated nightly.

Dividend-Payout-Ratio Time Series for Informatica Inc. Informatica Inc. develops an artificial intelligence-powered platform that connects, manages, and unifies data across multi-vendor, multi-cloud, and hybrid systems at enterprise scale worldwide. Its platform includes a suite of interoperable data management products, including data integration and engineering products to ingest, transform, and integrate data; API and application integration products that enable users to create and manage APIs, application integration, and process automation to modernize and accelerate their digital transformation programs, as well as for application-to-application synchronization, business process orchestration, B2B partner management, application development, and API management; data quality and observability products to profile, cleanse, standardize, observe, and monitor data to deliver accurate, complete, and consistent data; and master data management products to create an authoritative single source view of business-critical data. The company's platform also includes customer and business 360 application that allow business analysts to create 360-degree views of business data domains, such as customer, product, supplier, reference, and finance with business user experiences; data catalog products that enables customers to find, access, and understand enterprise data using Google-like search experience; governance, access, and privacy products, which enables organizations to deliver and consume trusted and protected data across the enterprise; and a data marketplace that delivers cloud shopping experience for data consumers and enables data sharing and AI models across organizations to facilitate data-driven decision making. In addition, it provides CLAIRE GPT, a generative AI-powered data management tool; and maintenance and professional services. The company sells its products through its direct sales team. Informatica Inc. was founded in 1993 and is headquartered in Redwood City, California.

Abstract

This dataset contains the baseline survey conducted to assess the financial inclusion and financial health of refugees in Jordan. The data collection for this survey took place between June and August 2024, hence prior to the fall of the Assad government in Syria in December 2024. The survey had the purpose to inform UNHCR, the broader humanitarian and development community, and other relevant stakeholders on the state of refugees’ financial inclusion and financial health in Jordan as of mid-2024. The results are expected to serve as a reference point for future assessments as well as guide the development of strategies and interventions to improve access to and use of financial services and the overall financial health of refugees in Jordan. This survey aligns with efforts by partners such as the World Food Programme (WFP), the Central Bank of Jordan (CBJ), financial and payment service providers, and other relevant stakeholders seeking to strengthen monitoring and evaluation frameworks and advance financial inclusion and financial health of refugees in Jordan.

Analysis unit

Household and individual

Kind of data

Sample survey data [ssd]

Sampling procedure

The overall sampling sought to cover at least 3,600 individual refugees targeting adult individuals of working age (between 18 and 59 years old), with an equal distribution between females and males. Based on October 2023 UNHCR data, the sampling was representative of the main areas where refugees live in Jordan, which include communities and camps, and stratified across three locations: (i) Amman (targeting 1,600 individuals); (ii) All other governorates (excluding Amman) (targeting 1,200 individuals); and (iii) camps, i.e. Zaatari and Azraq (targeting 800 individuals). The sample was further stratified into Syrians and nonSyrians, with a target of at least 600 non-Syrians (mostly in Amman, but also in other governates). These criteria allowed for a minimum target size of 400 respondents per key disaggregation group permitting a margin of error that is equal or lower than 5 percentage points at the 95 per cent confidence level when analysing the findings.16 Furthermore, within the criteria defined above to ensure sufficient sample sizes for the various sub-groups, the survey sample was randomly extracted among the respondents of the 2024 Vulnerability Assessment Framework (VAF). The VAF pool was used to build on already collected individual information and allow for comparisons over time.

Mode of data collection

Computer Assisted Personal Interview [capi]

■Purpose and Overview Support for Issuance of Social Bonds (The grant of an external review.) The purpose of this Act is to promote the issuance of social bonds and investment by providing grant for the expenses required for the business in which.

■ Underlying legislation Issuance Regulations for grant, etc., of Tokyo (Tokyo Regulations No. 141 of 1962) Enforcement of Issuance Regulations for grant, etc., of Tokyo (Government Advisory Board No. 20 of 37 dated December 11, 1962)

■ Eligibility Evaluation agencies that meet all of the following 1 The company has expressed its acceptance of the the Financial Services Agency's "Code of Conduct for ESG Rating and Data Providers." 2 There is a track record of granting external reviews of social bonds.

■ Geography Supported enterprises that issue social bonds to be supported by the subsidy program shall be enterprises with offices or offices in Tokyo.

■ Remarks The recipient of grant may have his or her name, representative, supporting information, etc.

■ Contact: International Financial City Strategy Office, Startups, Tokyo International Financial City Section, Strategic Project Promotion Division, Strategic Promotion Department 1, Nishi-Shinjuku 2- 8 chome, Shinjuku-ku, Tokyo 163 -8001

Tokyo Metropolitan Government Building No. 1, North Tower 14F Phone: 03-5388-2075

■ Reference URL: https://www.seisakukikaku.metro.tokyo.lg.jp/pgs/gfct/green-finance/green-subsidy.html

With LSEG's CME (Chicago Mercantile Exchange) Group Data, you can benefit from real-time and delayed data, and a wide range of global benchmarks.