API Crude Oil Stock Change in the United States decreased to -2.48 BBL/1Million in November 28 from -1.90 BBL/1Million in the previous week. This dataset provides - United States API Crude Oil Stock Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides values for API CRUDE OIL STOCK CHANGE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

API Gasoline Stocks in the United States increased to 1.90 BBL/1Million in July 11 from -2.20 BBL/1Million in the previous week. This dataset provides - United States Api Gasoline Stocks- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Lien Release and Payoff API Orchestration Market Outlook

According to our latest research, the global Lien Release and Payoff API Orchestration market size reached USD 1.04 billion in 2024, reflecting robust adoption across financial and real estate sectors. The market is set to expand at a CAGR of 14.8% from 2025 to 2033, with the forecasted market size expected to reach USD 3.25 billion by 2033. This growth is primarily driven by the increasing digitization of financial transactions, the need for rapid lien release and payoff processing, and the integration of advanced APIs for seamless workflow automation.

The surge in demand for efficient, secure, and automated lien release and payoff processes is a pivotal growth factor for this market. Traditional methods of handling lien releases and payoffs are often time-consuming, error-prone, and heavily reliant on manual intervention, which can lead to operational inefficiencies and increased risk of compliance issues. As financial institutions, mortgage lenders, and title companies seek to streamline their operations and reduce turnaround times, the adoption of API orchestration solutions is accelerating. These solutions provide real-time data exchange, automate documentation, and ensure compliance with evolving regulatory standards, making them indispensable in today’s fast-paced financial environment.

Another significant driver propelling the Lien Release and Payoff API Orchestration market is the growing complexity and volume of real estate and automotive transactions. With the proliferation of digital lending platforms and the rise of fintech innovations, institutions are increasingly leveraging API-based orchestration to manage high transaction volumes efficiently. These APIs enable seamless integration with core banking, loan servicing, and title management systems, reducing manual errors and enhancing customer experience. Furthermore, the ability to automate the entire payoff and lien release process helps organizations achieve greater operational scalability and cost savings, which is crucial in a competitive market landscape.

Regulatory compliance and data security are also shaping the trajectory of this market. Financial institutions and service providers are under mounting pressure to adhere to stringent regulatory requirements related to lien releases, payoffs, and data privacy. API orchestration solutions are designed to ensure compliance by providing audit trails, secure data transmission, and automated validation processes. This not only minimizes the risk of regulatory penalties but also builds trust among stakeholders. As regulations continue to evolve, the need for adaptable and compliant API orchestration platforms will further stimulate market growth.

From a regional perspective, North America currently dominates the Lien Release and Payoff API Orchestration market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The region’s advanced digital infrastructure, high adoption of fintech solutions, and the presence of major financial institutions drive this leadership. However, Asia Pacific is anticipated to register the fastest CAGR over the forecast period, fueled by rapid urbanization, increasing digital transformation in banking, and expanding real estate and automotive sectors. Meanwhile, Latin America and the Middle East & Africa are gradually embracing these technologies, supported by regulatory reforms and growing investment in digital financial services.

Component Analysis

The Lien Release and Payoff API Orchestration market is segmented by component into software and services, each playing a critical role in the overall ecosystem. Software solutions dominate the segment, accounting for a significant share of the market in 2024. These platforms provide the core functionalities required for automating and orchestrating lien release and payoff processes, including workflow management, document generation, compliance checks, and integration with third-party systems. The increasing demand for robust, scalable, and secure software solutions is driving continuous innovation, with vendors focusing on enhancing user interfaces, improving interoperability, and incorporating advanced analytics and artificial intelligence capabilities.

Services, which include consulting, implementation, integration, training, and support, are also integral to the successful deployment and operation of API orchestration solutions. As organ

Release Solar Mexico S De R L De C V Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

This layer shows children by nativity of parents by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of children who are in immigrant families (children who are foreign born or live with at least one parent who is foreign born). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B05009Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

October 2025 - Dataset View and OData/API Connection Change Notice - Please Read: https://data.transportation.gov/stories/s/6kdh-gsgx A highway-rail crossing is a location where a public highway, road, street, or private roadway, including associated sidewalks and pathways, crosses one or more railroad tracks. All such crossings are reported by railroads and state Department of Transportations to the FRA on Form FRA F 6180.71 U.S. DOT Crossing Inventory Form. Each location has an assigned U.S. DOT Grade Crossing Identification Number, or crossing ID. This dataset is in a user-friendly human-readable format. It contains the historical crossing inventory. To download the current inventory data, go here: https://data.transportation.gov/Railroads/Crossing-Inventory-Data-Form-71-Current/m2f8-22s6. The data dictionary can be found here: https://data.transportation.gov/api/views/m2f8-22s6/files/55a89796-f127-402c-82e3-09d5af892b42?download=true&filename=Form71_Data_Dictionary.xlsx. For information on how to filter and export data, please visit: https://data.transportation.gov/stories/s/Download-Export-and-Print-User-Guide/s8hj-vns8/. To view the data release schedule, please visit: https://data.transportation.gov/stories/s/Data-Release-Schedule/qfc9-tapk/.

This API provides international data on energy sources (e.g., coal, electricity, natural gas, petroleum, coal, renewables) and activities (e.g., consumption, imports, exports, carbon emissions, prices, production). Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

This dataset provides values for API CRUDE OIL STOCK CHANGE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Release Date: 2021-02-18.Release Schedule:.The data in this file come from the 2017 Economic Census. For information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments of firms with payroll...Data Items and Other Identifying Records:.Number of establishments.Sales, value of shipments, or revenue ($1,000).Total inventories, beginning of year ($1,000).Total inventories, end of year ($1,000).Total storage capacity, December 31, excluding liquified petroleum gas (1,000 gallons).Refined petroleum products storage capacity, December 31 (1,000 gallons).Crude oil storage capacity, December 31 (1,000 gallons)..Each record includes a code which represents the storage capacity of establishments...Geography Coverage:.The data are shown for employer establishments of firms at the U.S. and State levels. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown for NAICS code 4247101. For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector42/EC1742PETRPROD.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

Lien Release and Payoff API Orchestration Market Outlook

According to our latest research, the global Lien Release and Payoff API Orchestration market size reached USD 1.46 billion in 2024, driven by increased automation initiatives across the financial and real estate sectors. The market is expected to grow at a robust CAGR of 12.7% from 2025 to 2033, propelling its value to an estimated USD 4.36 billion by 2033. This impressive growth is largely attributed to the rapid adoption of digital transformation strategies, regulatory compliance requirements, and the need for streamlined, secure, and efficient lien and payoff processing solutions.

One of the primary growth factors fueling the expansion of the Lien Release and Payoff API Orchestration market is the mounting demand for automation in financial workflows. Traditionally, lien release and payoff processes have been highly manual, error-prone, and time-consuming, often involving multiple stakeholders and legacy systems. The integration of advanced API orchestration platforms is transforming these processes, enabling seamless data exchange, real-time updates, and significant reductions in processing time. Financial institutions and real estate companies are increasingly leveraging these solutions to enhance operational efficiency, reduce costs, and improve customer satisfaction. The rising complexity of mortgage and auto loan portfolios, coupled with stringent compliance requirements, further accelerates the adoption of such technologies.

Another significant driver is the growing emphasis on regulatory compliance and risk mitigation. As global financial regulations become more stringent, organizations face mounting pressure to ensure accuracy and transparency in lien release and payoff transactions. API orchestration platforms provide robust audit trails, automated compliance checks, and secure data handling, which are critical for meeting regulatory standards. This capability not only minimizes the risk of non-compliance penalties but also enhances trust among stakeholders. The integration of advanced security features, such as encryption and multi-factor authentication, is further bolstering market growth by addressing concerns related to data breaches and unauthorized access.

The proliferation of digital mortgage and automotive finance platforms is also a major catalyst in the Lien Release and Payoff API Orchestration market. As consumers seek faster and more transparent loan closure experiences, lenders and servicers are under pressure to deliver seamless digital solutions. API orchestration enables real-time communication between disparate systems, facilitating instant payoff calculations, lien release verifications, and electronic documentation. This not only accelerates the transaction lifecycle but also reduces the potential for human errors and delays. The trend toward digital-first customer experiences is expected to continue driving demand for sophisticated API orchestration solutions across various application domains.

From a regional perspective, North America remains the dominant market, accounting for the largest share in 2024, owing to its advanced financial infrastructure, high digital adoption rates, and a well-established regulatory environment. The region's leadership is further reinforced by the presence of major technology vendors and early adopters of API-driven automation. Europe follows closely, driven by regulatory harmonization and increasing investments in fintech innovation. Meanwhile, the Asia Pacific region is poised for the fastest growth, fueled by rapid urbanization, expanding mortgage markets, and the digitalization of financial services. As these trends continue, regional dynamics are expected to play a pivotal role in shaping the future trajectory of the global market.

Component Analysis

The Lien Release and Payoff API Orchestration market is segmented by component into Software and Services, e

Release Date: 2021-02-18.Release Schedule:.The data in this file come from the 2017 Economic Census. For information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments of firms with payroll...Data Items and Other Identifying Records:.Number of establishments.Sales, value of shipments, or revenue ($1,000).Total inventories, beginning of year ($1,000).Total inventories, end of year ($1,000).Total storage capacity, December 31(1,000 gallons).Refined petroleum products storage capacity, December 31 (1,000 gallons).Liquefied petroleum gas storage capacity, December 31 (1,000 gallons).Crude oil storage capacity, December 31 (1,000 gallons)..Geography Coverage:.The data are shown for employer establishments of firms at the U.S. and State levels. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown for NAICS codes 424710, 4247101, 42471011, 42471012, and 4247102. For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector42/EC1742PETRFAC.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

Release Date: 2021-02-18.Release Schedule:.The data in this file come from the 2017 Economic Census. For information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments of firms with payroll...Data Items and Other Identifying Records:.Number of establishments.Sales, value of shipments, or revenue ($1,000).Total inventories, beginning of year ($1,000).Total inventories, end of year ($1,000).Total storage capacity, December 31, excluding liquified petroleum gas (1,000 gallons).Refined petroleum products storage capacity, December 31 (1,000 gallons).Crude oil storage capacity, December 31 (1,000 gallons)..Each record includes a code which represents the owner type of establishments...Geography Coverage:.The data are shown for employer establishments of firms at the U.S. and State levels. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown for NAICS code 4247101. For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector42/EC1742PETRSTAT.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

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.

Snapshot img

US Active Pharmaceutical Ingredient Market Size 2025-2029

The US active pharmaceutical ingredient (API) market size is forecast to increase by USD 25.46 billion at a CAGR of 9% between 2024 and 2029.

The Active Pharmaceutical Ingredient (API) market is experiencing significant growth, driven by the increasing number of Type II Drug Master Files (DMFs) and a paradigm shift towards contract manufacturing organizations (CMOs) for API production. This trend is a response to the complexities and costs associated with in-house API manufacturing. However, market expansion is not without challenges. Regulatory hurdles impact adoption, as stringent regulations necessitate extensive compliance measures. Furthermore, supply chain inconsistencies temper growth potential due to the reliance on multiple suppliers and the need for high-quality raw materials. High investment costs and the risk of substantial losses due to production failures or regulatory non-compliance add to the complexity of the market landscape. One major factor is the increasing prevalence of hospital-acquired infections, leading to a higher demand for APIs used in antibiotics.
Companies seeking to cAPItalize on market opportunities must navigate these challenges effectively, focusing on regulatory compliance, supply chain transparency, and risk mitigation strategies. By doing so, they can position themselves as trusted partners to pharmaceutical and biotech companies, ensuring long-term success in the evolving API market. APIs play a crucial role in the development of targeted therapies, which are designed to address specific genetic mutations or biomarkers.

What will be the size of the US Active Pharmaceutical Ingredient (API) Market during the forecast period?

Request Free Sample

The Active Pharmaceutical Ingredient (API) market is characterized by ongoing advancements in technology and regulatory requirements. Personalized medicine and precision medicine are driving the need for advanced bioanalytical methods, such as mass spectrometry, to ensure accurate drug dosing and individualized treatment plans. Simultaneously, drug shortages and withdrawals necessitate process optimization and real-time release testing to mitigate supply chain disruptions. Pharmacodynamic and pharmacokinetic studies employ in vivo and in vitro techniques to understand drug behavior and interaction with the body. Microfluidic technology and flow chemistry facilitate process optimization and continuous manufacturing, enhancing efficiency and reducing waste. Pharmaceutical regulations, including quality by design and process validation, ensure drug safety and adverse event monitoring. This market is driven by several factors, including the rising prevalence of chronic diseases, the demand for biologics and biosimilars, and the increasing focus on precision medicine
Green chemistry and analytical method development contribute to the reduction of harmful by-products and the creation of more sustainable manufacturing processes. Pharmaceutical legislation addresses drug diversion, counterfeiting, and clinical trial design, ensuring transparency and patient protection. Drug interactions and adverse events necessitate rigorous analytical method validation and process analytical technology to ensure drug efficacy and safety. The increasing number of DMF filings with the US Food and Drug Administration (FDA) is one such factor, as these filings provide essential information for the manufacturing, processing, and packaging of drugs for human use.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Captive API
  Contract API


Product

  Generic
  Innovative


Application

  Oncology
  Cardiovascular diseases
  Diabetes
  Communicable diseases
  Others


Geography

  North America

    US

By Type Insights

The captive API segment is estimated to witness significant growth during the forecast period. The active pharmaceutical ingredient (API) market in the US is experiencing notable growth due to the increasing emphasis on affordable healthcare services. This trend is driving demand for low-cost APIs, leading pharmaceutical companies to outsource the manufacturing of bulk actives and late-stage intermediates to contract manufacturing organizations (CMOs). This shift has resulted in a decline in the market share of captive API manufacturing. The biopharmaceutical sector, including biologics and biosimilars, is also contributing to the growth of the API market. Biotechnology companies, pharmaceutical outsourcing firms, and contract research organizations are key players in this market, providing services such as custom synthesis, formulation development, clinical trial management, and

Borehole induction conductivity (IC) and gamma logging are geophysical techniques that provide bulk electrical conductivity and natural gamma trends of geological formations. The measured unit of IC is millisiemens per metre, whereas natural gamma is either counts per second or American Petroleum Index (API). The data were acquired as part of the Exploring for the Future program at field sites within the East Kimberley area in Western Australia, and the northern and southern Stuart Corridor projects in the Northern Territory.

Data may be downloaded as Log ASCII Standard (LAS) format files or viewed through the Geoscience Australia Portal, or accessed via Geoscience Australia’s WMS and WFS web services.

This dataset contains 70,427 cross-linked Twitter-GHTorrent user pairs identified as likely belonging to the same users. The dataset accompanies our research paper (PDF preprint here):

@inproceedings{fang2020tweet,
 author = {Fang, Hongbo and Klug, Daniel and Lamba, Hemank and Herbsleb, James and Vasilescu, Bogdan},
 title = {Need for Tweet: How Open Source Developers Talk About Their GitHub Work on Twitter},
 booktitle = {International Conference on Mining Software Repositories (MSR)},
 year = {2020},
 pages = {to appear},
 publisher = {ACM},
}

The data cannot be used for any purpose other than conducting research.

Due to privacy concerns, we only release the user IDs in Twitter and GHTorrent, respectively. We expect that users of this dataset will be able to collect other data using the Twitter API and GHTorrent, as needed. Please see below for an example.

To query the Twitter API for a given user_id, you can:

• Apply for Twitter developer account here.

• Create an APP with your Twitter developer account, and create an "API key" and "API secret key".

• Obtain an access token. Given the previous API keys, run:

  curl -u "

  The response looks like this: {"token_type":"bearer","access_token":"<...>"}

  Copy the "access_token".

• Given the previous access token, run:

  curl --request GET --url "https://api.twitter.com/1.1/users/show.json?user_id=

The GHTorrent user ids map to the users table in the MySQL version of GHTorrent. To use GHTorrent, please follow instructions on the GHTorrent website.

This dataset provides values for API CRUDE OIL STOCK CHANGE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Global trade data of Release under 190430, 190430 global trade data, trade data of Release from 80+ Countries.