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.

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.

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.

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.

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

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

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.

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.

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.

Comprehensive dataset of 269 Food manufacturing supplies in Czech Republic 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.

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.

United States Manufacturing Industries: sa: Inventories data was reported at 669.270 USD bn in Jun 2018. This records an increase from the previous number of 668.607 USD bn for May 2018. United States Manufacturing Industries: sa: Inventories data is updated monthly, averaging 474.323 USD bn from Jan 1992 (Median) to Jun 2018, with 318 observations. The data reached an all-time high of 669.270 USD bn in Jun 2018 and a record low of 376.070 USD bn in Feb 1993. United States Manufacturing Industries: sa: Inventories data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.C004: Manufacturing Industries: By NAIC System: Inventories: sa.

Comprehensive dataset of 2,212 Food manufacturing supplies in Vietnam as of August, 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.

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

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.

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 global Embedded Database Management Systems (eDBMS) market is experiencing robust growth, driven by the increasing adoption of IoT devices, the expansion of edge computing, and the need for real-time data processing in various industries. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant growth is fueled by several key trends: the rising demand for data analytics within resource-constrained environments, the proliferation of connected devices requiring localized data management, and the increasing importance of data security and privacy in embedded systems. Major sectors like healthcare (particularly in medical devices and remote patient monitoring), manufacturing (for industrial automation and predictive maintenance), and automotive (for advanced driver-assistance systems and in-vehicle infotainment) are major contributors to this growth. While challenges remain, such as the complexities of data integration and the need for robust security measures in embedded systems, the overall market outlook remains positive, with substantial opportunities for innovation and expansion. The market segmentation reveals strong demand across diverse operating systems, with Linux maintaining a dominant share due to its open-source nature and suitability for resource-constrained environments. However, Windows and macOS/iOS also hold significant segments, particularly in niche applications. The application-wise segmentation indicates substantial growth across all listed industries, driven by unique requirements for real-time data processing and localized data management. Leading vendors like Microsoft, IBM, Oracle, and others are actively expanding their eDBMS offerings to cater to this growing demand, fostering competition and driving innovation within the market. Future growth will likely be shaped by advancements in technologies like AI and machine learning applied within embedded systems, leading to more sophisticated and efficient data management solutions.

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.

Digital development of China’s manufacturing industry.