Official USDA data on production, supply, and distribution of agricultural commodities for the United States and key producing and consuming countries.

20 Oct 2008, A.C.Raugh AddedThis dataset presents several data tables from A'Hearn et al. (1995) [AHEARNETAL1995], which contain a comparative analysis of Haser model production for the observations included in the Lowell Observatory Cometary Database (LOCD). In addition, similar data for two more comets, West (1975 A1-A) and Kohoutek (1973 E1), are included.

This database allows the public to browse and search recent FTZ Board manufacturing approvals.

Industrial Databases Market Outlook

The global Industrial Databases market size was valued at approximately $32.5 billion in 2023 and is projected to reach around $61.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.1% during the forecast period. This significant growth is driven by the increasing demand for data-driven decision-making processes, enhanced digital transformation strategies across industries, and the rapid adoption of advanced database technologies.

One of the primary growth factors for the industrial databases market is the exponential growth in data volume generated by industrial applications. As industries become more digitized, the need for robust data management solutions becomes imperative. The Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML) are producing immense amounts of data that require sophisticated databases to manage and analyze effectively. Consequently, businesses are increasingly investing in advanced database solutions that can handle large-scale data operations with high efficiency.

Another critical driver of market growth is the rising adoption of cloud-based databases. With the flexibility, scalability, and cost-efficiency that cloud solutions offer, many enterprises are transitioning from traditional on-premises databases to cloud databases. This shift is further fueled by the growing trend of remote work and the need for businesses to ensure uninterrupted operations and data accessibility from any location. Cloud databases provide seamless scalability and integration capabilities, making them an attractive option for industries looking to modernize their data infrastructure.

As the industrial landscape evolves, businesses are increasingly recognizing the value of Database Solutions that offer enhanced capabilities for managing and analyzing vast datasets. These solutions are pivotal in transforming raw data into actionable insights, enabling companies to optimize their operations, improve decision-making, and maintain a competitive edge. The demand for such solutions is particularly pronounced in sectors that generate large volumes of data, such as manufacturing, healthcare, and transportation. By leveraging advanced database solutions, organizations can ensure data integrity, enhance performance, and achieve greater operational efficiency.

The industrial databases market is also benefiting from advancements in database technologies, such as the development of NoSQL and NewSQL databases. These modern database systems are designed to handle unstructured data, real-time analytics, and high transaction volumes, which are critical requirements for contemporary industrial applications. The ability of these databases to deliver high performance, reliability, and flexibility is driving their adoption across various sectors, including manufacturing, healthcare, and transportation.

Regionally, North America holds the largest market share in the industrial databases market, primarily due to the presence of major technology companies and early adoption of advanced database technologies. However, the Asia Pacific region is expected to witness the fastest growth, driven by the rapid industrialization, increasing investments in digital infrastructure, and the growing adoption of IoT and AI technologies. Europe is also a significant market, with strong demand from industries such as automotive, aerospace, and pharmaceuticals. Latin America and the Middle East & Africa are emerging markets with considerable growth potential, supported by economic development and technological advancements.

Type Analysis

The industrial databases market is segmented into various types, including Relational Databases, NoSQL Databases, NewSQL Databases, and Cloud Databases. Relational databases continue to dominate the market due to their structured nature and widespread usage in traditional industrial applications. These databases use a schema-based approach, which allows for efficient data organization and retrieval. Industries that rely on structured data, such as manufacturing and healthcare, predominantly use relational databases to manage their operations.

However, the market is witnessing a substantial shift towards NoSQL databases, driven by the need to handle large volumes of unstructured data generated by modern industrial applications. NoSQL databases offer flexibility, scalability, and high performance, making them ideal for use cases

PPI: Mfg: CH: CO: PP: AC: Interior data was reported at 152.868 Dec2012=100 in Apr 2025. This stayed constant from the previous number of 152.868 Dec2012=100 for Mar 2025. PPI: Mfg: CH: CO: PP: AC: Interior data is updated monthly, averaging 108.000 Dec2012=100 from Dec 2012 (Median) to Apr 2025, with 149 observations. The data reached an all-time high of 153.805 Dec2012=100 in Sep 2023 and a record low of 95.800 Dec2012=100 in Jun 2017. PPI: Mfg: CH: CO: PP: AC: Interior data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I: Producer Price Index: by Industry: Manufacturing: Chemical.

This database is a comprehensive collection of leading sustainability-related indicators for manufacturing companies. The indicators are collected through a systematic literature review with following information registered: name, detailed description, formula, unit of measurement, and purpose of measurement. The leading indicators in the database are classified according to environmental, economic and social dimensions of sustainability, for a range of business processes and various circular economy strategies. This classification allows the configuration of different combinations of circular solutions to be exploited in various business processes, thus displaying a suitable set of sustainability performance indicators to be measured early in the decision-making stage. The database of performance indicators is a first building block of a foundation for the development of a sustainability screening framework, which will also comprise a procedure for a systematic indicator selection and guidelines for decision-making for sustainability in a circular economy context.

This data package consists of bioresearch monitoring information system (BMIS) dataset, directory of the different biotech and biopharmaceutical and pharmaceutical companies in the United States and the European Union, establishment registration database, drug wholesale distributor and third-party logistics provider reporting database, establishment inspections conducted by FDA, and FDA post-marketing requirements and commitments searchable database.

Abstract

UNIDO maintains a variety of databases comprising statistics of overall industrial growth, detailed data on business structure and statistics on major indicators of industrial performance by country in the historical time series. Among which is the UNIDO Industrial Demand-Supply Balance Database at the 4-digit level of ISIC (IDSB).

The IDSB contains highly disaggregated data on the manufacturing sector for the period 2005 onwards and includes trade data. The data are derived from output data reported by National Statistical Offices, as presented in the INDSTAT4 database, together with UNIDO estimates for ISIC-based international trade data, by utilizing the United Nations Commodity Trade Database (COMTRADE). The database contains data on output and on trade related items, such as imports, export and apparent consumption. The data are arranged at the 4-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Revision 4 pertaining to the manufacturing sector, which comprises 137 manufacturing categories.

For more information, please visit: http://www.unido.org/resources/statistics/statistical-databases.html

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The database contains consistent data on international and domestic trade at the industry level covering agriculture, mining, energy, manufacturing, and services.

The global industrial databases market was valued at USD 1939 million in 2025 and is expected to grow at a CAGR of XX% during the forecast period 2025-2033. The growth of the market is attributed to the increasing adoption of industrial databases for various applications, such as market analysis, production analysis, and others. Industrial databases provide a comprehensive view of the industrial sector, including information on companies, products, markets, and trends. This information is essential for businesses to make informed decisions about their operations and strategies. The market is segmented by type into relational databases and non-relational databases. Relational databases are traditional databases that store data in tables, while non-relational databases are newer databases that store data in a more flexible manner. Non-relational databases are becoming increasingly popular for industrial applications because they can handle large volumes of data more efficiently than relational databases. The market is also segmented by application into market analysis, production analysis, and others. Market analysis is the largest application segment, accounting for over 50% of the market share. Production analysis is the second largest application segment, accounting for over 25% of the market share. Other applications include supply chain management, inventory management, and customer relationship management.

The database contains consistent data on international and domestic trade at the industry level covering agriculture, mining, energy, manufacturing, and services. It covers 170 industries in all broad sectors of the economy in 265 countries for the years 1986-2019. It contains 292,408,351 observations, most of which are from administrative data sources while others are estimated using a variety of methods described in the technical documentation. The ITPD-S Release 1 provides the following coverage: 1986-2019 (1986-2019 for Agriculture, 1988-2019 for Manufacturing, Mining and Energy, 2000-2019 for Services ) 265 countries, 170 industries.

Abstract

UNIDO maintains a variety of databases comprising statistics of overall industrial growth, detailed data on business structure and statistics on major indicators of industrial performance by country in the historical time series. Among which is the UNIDO Industrial Statistics Database at the 3 & 4-digit levels of ISIC Revision 3 (INDSTAT4- Rev.3).

INDSTAT4 contains highly disaggregated data on the manufacturing sector for the period 1985 onwards. Comparability of data over time and across the countries has been the main priority of developing and updating this database. INDSTAT4 offers a unique possibility of in-depth analysis of the structural transformation of economies over time. The database contains seven principle indicators of industrial statistics. The data are arranged at the 3- and 4-digit levels of the International Standard Industrial Classification of All Economic Activities (ISIC) Revision 3 pertaining to the manufacturing, which comprises more than 150 manufacturing sectors and sub-sectors. The time series can either be used to compare a certain branch or sector of countries or – if present in the data set – some sectors of one country.

For more information, please visit: http://www.unido.org/resources/statistics/statistical-databases.html

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Indonesia Manufacturing Industry: Production: Value: Toys Manufacture data was reported at 10,699.819 IDR bn in 2015. This records an increase from the previous number of 3,274.259 IDR bn for 2014. Indonesia Manufacturing Industry: Production: Value: Toys Manufacture data is updated yearly, averaging 1,591.921 IDR bn from Dec 1999 (Median) to 2015, with 17 observations. The data reached an all-time high of 10,699.819 IDR bn in 2015 and a record low of 54.682 IDR bn in 2001. Indonesia Manufacturing Industry: Production: Value: Toys Manufacture data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Mining and Manufacturing Sector – Table ID.BAD001: Manufacturing Industry: by Product: Value.

The Database Automation Market report segments the industry into Component (Solution, Services), Deployment Mode (Cloud, On-Premises), Enterprise Size (Large Enterprises, Small and Medium-Sized Enterprises), End-User Industry (Banking, Financial Services And Insurance (BFSI), IT And Telecom, E-Commerce And Retail, Manufacturing, Government And Defense, and more.), and Geography.

The global Real-time Database market was valued at USD XX million in 2019 and is projected to reach USD XX million by 2023, at a CAGR of XX%. The market growth is attributed to the increasing adoption of real-time databases in various industries, such as manufacturing, energy, and healthcare, to improve operational efficiency and decision-making. The cloud-based deployment model is gaining traction due to its flexibility and scalability, while the large enterprises segment holds a significant market share. Key drivers of the Real-time Database market include the growing need for real-time data analytics, the rising adoption of IoT devices, and the increasing demand for improved operational efficiency. However, the high cost of implementation and the lack of skilled professionals in the field are some of the challenges faced by the market. Major players in the Real-time Database market include OSIsoft, AspenTech, AVEVA Group, GE Fanuc Automation CNC, Honeywell, InStep Software, Rockwell, Siemens, and Iconics.

Real-time databases (RTDBs) are specialized database systems designed to handle and manage data that changes rapidly and frequently. They are widely used in industries where real-time data collection, analysis, and decision-making are crucial, such as manufacturing, energy, transportation, and finance. This comprehensive report explores the key trends, drivers, challenges, and opportunities shaping the real-time database market, providing valuable insights for businesses and investors.

Graph and download economic data for All Employees, Manufacturing (MANEMP) from Jan 1939 to May 2025 about headline figure, establishment survey, manufacturing, employment, and USA.

PPI: Mfg: CH: OC: AO: PH: Primary Products (PP) data was reported at 186.639 Dec2003=100 in Apr 2025. This records an increase from the previous number of 179.737 Dec2003=100 for Mar 2025. PPI: Mfg: CH: OC: AO: PH: Primary Products (PP) data is updated monthly, averaging 128.000 Dec2003=100 from Dec 2003 (Median) to Apr 2025, with 257 observations. The data reached an all-time high of 190.517 Dec2003=100 in Nov 2024 and a record low of 98.000 Dec2003=100 in Dec 2004. PPI: Mfg: CH: OC: AO: PH: Primary Products (PP) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I: Producer Price Index: by Industry: Manufacturing: Chemical.

PPI: Mfg: CH: OC: AO: MC: PP: All Other Chemical Preparations data was reported at 281.937 Jun1985=100 in Apr 2025. This records a decrease from the previous number of 281.970 Jun1985=100 for Mar 2025. PPI: Mfg: CH: OC: AO: MC: PP: All Other Chemical Preparations data is updated monthly, averaging 155.900 Jun1985=100 from Jun 1985 (Median) to Apr 2025, with 479 observations. The data reached an all-time high of 281.970 Jun1985=100 in Mar 2025 and a record low of 94.000 Jun1985=100 in Jul 1987. PPI: Mfg: CH: OC: AO: MC: PP: All Other Chemical Preparations data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I: Producer Price Index: by Industry: Manufacturing: Chemical.

PPI: Mfg: CH: CO: Primary Products (PP) data was reported at 424.376 Jun1983=100 in Apr 2025. This records an increase from the previous number of 423.070 Jun1983=100 for Mar 2025. PPI: Mfg: CH: CO: Primary Products (PP) data is updated monthly, averaging 174.400 Jun1983=100 from Jun 1983 (Median) to Apr 2025, with 503 observations. The data reached an all-time high of 426.703 Jun1983=100 in Oct 2022 and a record low of 99.600 Jun1983=100 in Oct 1983. PPI: Mfg: CH: CO: Primary Products (PP) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I: Producer Price Index: by Industry: Manufacturing: Chemical.