t CompanyData.com (BoldData), we provide trusted, verified company data sourced directly from official trade registers around the world. Our global list of 22 million manufacturing companies offers unmatched access to the industrial backbone of the global economy—spanning small-scale producers to large multinational manufacturers. This comprehensive dataset is built to support everything from outreach to automation.

Each record contains rich, up-to-date firmographics, company hierarchies, and contact information, including names of key decision-makers, direct emails, mobile phone numbers, turnover estimates, and employee ranges. Our data is collected and maintained with precision to ensure the highest standards of accuracy and compliance. Whether you’re navigating the automotive, food processing, electronics, or machinery sectors, we help you connect to the right manufacturing companies across global markets.

Our manufacturing dataset powers a broad range of use cases: from KYC verification and due diligence to sales prospecting, marketing campaigns, CRM data enrichment, and AI model training. Whether you need to verify business legitimacy, expand your market reach, or automate intelligence pipelines, our data gives you the edge.

We deliver our data in the format that fits your business best: tailored bulk files, access through our self-service platform, real-time API integration, or data enrichment services that complete and refine your existing databases. Backed by a global database of 380 million verified companies and deep domain expertise, CompanyData.com helps you reach manufacturers worldwide with confidence, compliance, and strategic precision.

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

This dataset contains the share of employment in manufacturing for 126 countries from the 1950s to 2022. The data provides a truly global and historical perspective on the importance of manufacturing and potential deindustrialisation trends. Data is combined from the ILOSTAT database and the GGDC-10 sector database, 2014 release. The database contains a total of 126 countries; 4,810 observations, with an average of 38 observations per country, a minimum of 5 and a maximum of 75 observations. In a broad sense, the data covers 9 main regions. 30% of the dataset consists of European economies, 20% of Asia, 20% of Latin America and 15% of Africa, with the remainder being China, North America, Australia and New Zealand, island economies and other economies.

This database is a joint effort between the National Bureau of Economic Research (NBER) and U.S. Census Bureau's Center for Economic Studies (CES), containing annual industry-level data from 1958-2011 on output, employment, payroll and other input costs, investment, capital stocks, TFP, and various industry-specific price indexes. Because of the change from SIC to NAICS industry definitions in 1997, the database is provided in two versions: one with 459 four-digit 1987 SIC industries and the other with 473 six-digit 1997 North American Industry Classification System (NAICS) industries.

The database contains consistent data on international and domestic trade at the industry level covering agriculture, mining, energy, manufacturing, and services. The ITPD-E is constructed using reported administrative data and intentionally does not include information estimated by statistical techniques, which makes the ITPD-E well suited for estimation of economic models, such as the gravity model of trade.

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

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.

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

Comprehensive dataset of 814 Food manufacturing supplies in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The global industrial databases market, valued at $1033 million in 2025, is projected to experience robust growth, exhibiting a compound annual growth rate (CAGR) of 10.8% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of Industry 4.0 and the Internet of Things (IoT) is generating massive volumes of operational data, creating a significant demand for efficient and scalable database solutions capable of handling this influx. Furthermore, the rising need for real-time data analytics and predictive maintenance within manufacturing and other industrial sectors is further stimulating market growth. Companies are increasingly leveraging industrial databases to optimize production processes, improve resource allocation, and enhance overall operational efficiency. The market is segmented by application (market analysis, production analysis, and others) and database type (relational and non-relational). Relational databases currently hold a larger market share, but the adoption of non-relational databases is rapidly growing due to their scalability and flexibility in handling unstructured data. Geographic expansion is also a key factor, with North America and Europe representing significant market shares initially, while the Asia-Pacific region is expected to witness faster growth due to increasing industrialization and technological advancements in countries like China and India. However, challenges such as data security concerns and the high cost of implementation and maintenance could act as potential restraints on market growth. The competitive landscape is characterized by a mix of established players like Oracle and newer entrants offering specialized solutions. The presence of key players such as Dun & Bradstreet, Bloomberg, and Statista highlights the market's importance for providing crucial business intelligence. Companies are focusing on developing advanced analytics capabilities and integrating their offerings with cloud platforms to enhance accessibility and scalability. This strategic focus on cloud-based solutions is driving market expansion and offering greater flexibility for users across various industrial sectors. The forecast period suggests continued strong growth, driven by the ongoing digital transformation within industries and the relentless increase in data generation. The market is expected to witness further consolidation as companies seek strategic partnerships and acquisitions to expand their market reach and product portfolios.

Comprehensive dataset of 2,115 Food manufacturing supplies in Taiwan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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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United States IPI: Weights: Mfg: Newspaper, Periodical, Database Publishers (NP) data was reported at 1.736 % in Jun 2018. This records a decrease from the previous number of 1.758 % for May 2018. United States IPI: Weights: Mfg: Newspaper, Periodical, Database Publishers (NP) data is updated monthly, averaging 3.317 % from Jan 1972 (Median) to Jun 2018, with 558 observations. The data reached an all-time high of 4.596 % in Dec 2001 and a record low of 1.736 % in Jun 2018. United States IPI: Weights: Mfg: Newspaper, Periodical, Database Publishers (NP) data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.B007: Industrial Production Index: By NAIC System: 2012=100: Manufacturing: Seasonally Adjusted: Weights.

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.

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 4 (INDSTAT4-Rev.4).

INDSTAT4 contains highly disaggregated data on the manufacturing sector for the period 2005 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 4 pertaining to the manufacturing, which comprises more than 160 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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Manufacturing Industries: Haryana: Other Manufacturing: Factories data was reported at 138.000 Unit in 2019. This records an increase from the previous number of 120.000 Unit for 2018. Manufacturing Industries: Haryana: Other Manufacturing: Factories data is updated yearly, averaging 59.000 Unit from Mar 2009 (Median) to 2019, with 11 observations. The data reached an all-time high of 138.000 Unit in 2019 and a record low of 44.000 Unit in 2010. Manufacturing Industries: Haryana: Other Manufacturing: Factories data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Mining and Manufacturing Sector – Table IN.BAF012: Manufacturing Industry: NIC 2008: By State: Haryana.

This data provide insights into how companies present and prioritize additive manufacturing on their websites.

PPI: Mfg: CH: OC: AO: Other Miscellaneous Chemical Products (MC) data was reported at 270.902 Jun1985=100 in Apr 2025. This records an increase from the previous number of 270.375 Jun1985=100 for Mar 2025. PPI: Mfg: CH: OC: AO: Other Miscellaneous Chemical Products (MC) data is updated monthly, averaging 160.500 Jun1985=100 from Jun 1985 (Median) to Apr 2025, with 479 observations. The data reached an all-time high of 270.902 Jun1985=100 in Apr 2025 and a record low of 95.900 Jun1985=100 in Oct 1986. PPI: Mfg: CH: OC: AO: Other Miscellaneous Chemical Products (MC) 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.

Comprehensive dataset of 397 Food manufacturing supplies in Poland as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.