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.

Time-Series Database for Manufacturing Market Outlook

According to our latest research, the global Time-Series Database for Manufacturing market size reached USD 1.87 billion in 2024, with robust expansion driven by increasing adoption of Industry 4.0 solutions and real-time data analytics. The market is expected to grow at a CAGR of 15.2% from 2025 to 2033, propelling the total market value to USD 6.13 billion by 2033. This growth is underpinned by the manufacturing sector’s intensified focus on operational efficiency, predictive maintenance, and digital transformation initiatives.

One of the primary growth factors for the Time-Series Database for Manufacturing market is the escalating demand for real-time data analytics in manufacturing environments. As manufacturers worldwide strive to optimize production processes, minimize downtime, and enhance product quality, the need for robust time-series databases capable of handling high-velocity, high-volume sensor data has surged. The proliferation of Industrial Internet of Things (IIoT) devices has resulted in an exponential increase in the volume of time-stamped data generated on factory floors. This data, when harnessed effectively, enables manufacturers to monitor equipment health, predict potential failures, and streamline operations, contributing significantly to cost savings and productivity gains. The ability to collect, store, and analyze time-series data in real time has become a critical differentiator for manufacturers seeking to maintain a competitive edge in an increasingly digital landscape.

Another significant driver boosting the Time-Series Database for Manufacturing market is the widespread adoption of predictive maintenance and process optimization solutions. Manufacturing organizations are increasingly recognizing the value of leveraging historical and real-time data to anticipate equipment malfunctions and optimize operational parameters. Time-series databases facilitate the storage and analysis of vast streams of sensor data, enabling advanced analytics and machine learning algorithms to detect anomalies and predict failures before they occur. This proactive approach to maintenance not only reduces unplanned downtime but also extends asset life and lowers total maintenance costs. Furthermore, process optimization initiatives, powered by continuous monitoring of production variables, are helping manufacturers achieve higher yields, improved quality, and greater energy efficiency, further fueling demand for time-series data management solutions.

The growing integration of cloud-based solutions within manufacturing IT infrastructures is also playing a pivotal role in market expansion. Cloud deployment models offer scalable, flexible, and cost-effective alternatives to traditional on-premises systems, allowing manufacturers to handle fluctuating data loads without significant upfront investments. This shift is particularly beneficial for small and medium enterprises (SMEs), which can now access advanced time-series database capabilities without the need for extensive in-house IT resources. Additionally, the cloud enables seamless data sharing across geographically dispersed facilities, facilitating centralized monitoring, benchmarking, and decision-making. As manufacturers continue to embrace digital transformation and smart factory initiatives, the adoption of cloud-based time-series databases is expected to accelerate, driving further market growth.

From a regional perspective, Asia Pacific is emerging as the most dynamic market for time-series databases in manufacturing, driven by rapid industrialization, strong government support for smart manufacturing, and the proliferation of IIoT deployments across China, Japan, South Korea, and India. North America and Europe also represent significant markets, characterized by early adoption of advanced manufacturing technologies, a mature industrial base, and high investments in automation and digitalization. Meanwhile, Latin America and the Middle East & Africa are gradually catching up, with increasing focus on modernizing manufacturing sectors and improving operational efficiencies. Each region presents unique opportunities and challenges, influenced by local industry structures, regulatory environments, and the pace of technology adoption.

Component Analysis

The Component segment of the Time-Series Database for Manufacturing market is divided into software, hardwar

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

Manufacturing Industry Email List

With our focused Manufacturing Industry Email List, quicken your outreach in the manufacturing sector. Our database connects you with procurement heads, plant managers, engineers, and C-level executives throughout the USA, Europe, APAC, and more, whether you are promoting industrial automation solutions, raw materials, or SaaS platforms. Every contact is verified every month for accuracy, opt-in, and GDPR/CCPA

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.

Comprehensive dataset containing 897 verified Food manufacturing supply businesses in United States with complete contact information, ratings, reviews, and location data.

Access verified data on 22 million manufacturing companies worldwide, sourced from official trade registers. Part of CompanyData’s global database of 380M businesses. Ideal for compliance, sales, marketing, and CRM enrichment in the manufacturing sector.

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.

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.

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.

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

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.

United States Manufacturing Industries: Inventories data was reported at 685.260 USD bn in Oct 2018. This records an increase from the previous number of 681.230 USD bn for Sep 2018. United States Manufacturing Industries: Inventories data is updated monthly, averaging 475.119 USD bn from Jan 1992 (Median) to Oct 2018, with 322 observations. The data reached an all-time high of 685.260 USD bn in Oct 2018 and a record low of 369.673 USD bn in Dec 1992. United States Manufacturing Industries: Inventories data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.C003: Manufacturing Industries: By NAIC System: Inventories.

Homeland Infrastructure Foundation-Level Data (HIFLD) geospatial data sets containing information on General Manufacturing Facilities.

Mfg Ind: sa: Inventories: MS: ND: Apparel data was reported at 486.000 USD mn in May 2018. This records a decrease from the previous number of 487.000 USD mn for Apr 2018. Mfg Ind: sa: Inventories: MS: ND: Apparel data is updated monthly, averaging 1.127 USD bn from Jan 1992 (Median) to May 2018, with 317 observations. The data reached an all-time high of 4.061 USD bn in May 1995 and a record low of 455.000 USD mn in May 2010. Mfg Ind: sa: Inventories: MS: ND: Apparel 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 containing 439 verified Food manufacturing supply businesses in Poland with complete contact information, ratings, reviews, and location data.

Manufacturing: Products of Rubber and Plastic Material: Non Operating Revenue data was reported at 1,769,232.000 BRL th in 2017. This records an increase from the previous number of 1,378,609.000 BRL th for 2016. Manufacturing: Products of Rubber and Plastic Material: Non Operating Revenue data is updated yearly, averaging 1,300,670.000 BRL th from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 1,769,232.000 BRL th in 2017 and a record low of 362,783.000 BRL th in 2007. Manufacturing: Products of Rubber and Plastic Material: Non Operating Revenue data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Mining and Manufacturing Sector – Table BR.BAE016: Mining and Manufacturing Financial Data: CNAE 2.0: Manufacturing: Products of Rubber and Plastic Material.

• Entries for English-Spanish: Scientific research & mathematical sciences (906 entries), Geosciences (10,215), Computer science, electronics & telecommunications (70,580), Industry (47,578), Transport & Maintenance (12,291), Economy (145,572), Biological sciences (38,989), Communication & media (8,143), Chemical & physical sciences (27,467). * Entries for English-French-German-Spanish: Environment (36,658), Health (66,727), Agriculture & food (25,975), Construction & public works (8,429), Law & policy (56,578), Sports & Leisure (17,312) * Two specialized lexicons: Spanish-English and English-French-German without domain codes: electronics, telematics, law, taxes, customs, etc. (550,000 entries). * Two general lexicons: Spanish-English-French-German and Spanish-English-French-German-Portuguese-Italian (83,000 entries).This terminological database contains, for each domain, a sub-domain indication is given (from 2 sub-domains for Scientific research to 39 for Sports & leisure). Each entry consists of a definition, phraseological unit, abbreviation, usage information, grammatical labels. Format: ASCII

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

The database contains estimates for below- and aboveground production for over 400 sites, spanning all major terrestrial biomes and climate regions. The dataset contains detailed descriptions of each site as well as detailed information on measurement methodology. Furthermore, the biomass production data is supplemented with data on climate and soil conditions extracted from global databases. The database can be used for studies on regional and global scales, as well as a validation and calibration dataset for global vegetation models.