What is Manufacturing Company Data? Best Datasets & Databases 2025
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Manufacturing Company Data?
Manufacturing company data refers to the information gathered and analyzed by a manufacturing firm to track and control its operations. Such data helps in making well-informed decisions, enhancing efficiency, refining product quality, and boosting overall productivity.
What are Examples Data Attributes of Manufacturing Company Data?
This data is related to production processes, inventory levels, quality checks, equipment upkeep, supply chain logistics, and financial outcomes.
For instance, let’s consider a dataset from a company like Ford. It might include details like:
- Company name (Ford Motor Company)
- Address (Dearborn, Michigan, USA)
- Contact information
- Industry classification (automotive)
- Revenue figures
- Employee count
- Production capacity
This type of information is a crucial part of larger datasets about B2B Data and Company Data.
Best Manufacturing Company Databases & Datasets
Here is our curated selection of top Manufacturing Company Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Manufacturing Company Data | APAC Manufacturing Industry | Verified Business Profiles | Best Price Guaranteed
Manufacturing Company Data | Chemicals & Manufacturing Executives in Asia | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee
Manufacturing Company Data | Global Manufacturing Professionals | Work Emails & Phone Numbers for Key Decision-makers | Best Price Guaranteed
Canaria | Manufacturing Company Data |USA | +300000 Unique Companies & 2 Years Historical | Classified by NAICS - SOC - SIC
US Government Manufacturing Company Data | Verified Address Data | NAICS, Equipment, Certifications
HitHorizons | Manufacturing Company Data | API | CSV | JSON | 4,289,762 Companies | 50 European Countries | Data Enrichment | Monthly Updated
Manufacturing Data | Electrical, Electronic & Industrial Manufacturing Leaders Globally | Verified Global Profiles from 700M+ Dataset
LinkedIn Company Data | Global Manufacturing Professionals | Work Emails & Verified Profiles from 700M+ Dataset | Best Price Guarantee
List of 22M Manufacturing companies worldwide
Prospect Data | Manufacturing Sector in North America | Comprehensive Firmographic Insights | Best Price Guaranteed
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Top Manufacturing Company Data Providers & Companies
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Success.ai
CoverageUSAUK+248VI’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!
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Predik Data-driven
CoverageUSAUK+247VWe wanted to analyse the foot traffic data across Sydney. Predik provided quality traffic density heatmap and raw foot traffic data across Sydney Australia to support us with the use case. Highly recommended.
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costdata
CoverageUSAUK+248costdata provides precise solutions for product costing and cost optimization. With a unique database and software, we combine industry expertise with cutting-edge technology to support businesses in making informed decisions in procurement, R&D, controlling, cost engineering, sales and management.33,000+Metals with Pricing Data14,000+Plastics with Pricing Data13,500+Machines with Simulation -
Cosmic Link Data
CoverageUSACosmic Link Data offers verified, AI-enhanced datasets for the heavy industrial supply chain. We ensure high accuracy through multi-source curation and continuous updates. We provide data solutions, empowering businesses with insights for lead generation, market analysis, and strategic growth.GDPRCompliantVerifiedHITL -
HitHorizons
CoverageUSAUK+63VI have been a regular user of HitHorizons for three years and I am very glad that HitHorizons was recommended to me. The data is valid and regularly updated. This avoids contacting companies that disappeared from the market years ago. It's great that the screener offers the option of filtering the data according to relevant criteria, such as company size, number of employees, company sector or even country, federal state, or city. This allows me to compile interesting data that fully meets my needs. I have never found anything like this before. And I won't be looking for another source, because HitHorizons' offer is perfect and absolutely worth the investment.
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Canaria Inc.
CoverageUSAUK+248VAs an AI-focused nonprofit, we've found Canaria Inc. to be an invaluable partner in understanding job market trends. Their comprehensive datasets, sourced responsibly from platforms like Indeed and LinkedIn, coupled with their advanced AI and NLP processing (this enables us to get additional insights which are not natively available in the source such as predicted salary, seniority level etc.), provide unmatched insights into the labor market. Their high deduplication rates ensure the accuracy and utility of the data, essential for our strategic planning and analysis. Canaria's tailored pricing and client-centric approach make them a top recommendation for any organization needing detailed labor market analytics.
Manufacturing Company Data Use Cases
Manufacturing Company Data is applied in various scenarios:
- Market Research: Analyzing industry trends and market opportunities.
- B2B Lead Generation: Identifying potential customers and business partners.
- Competitor Analysis: Evaluating the strengths and weaknesses of competitors.
- Business Development: Supporting strategic planning and expansion efforts.
- Account-Based Marketing (ABM): Tailoring marketing efforts to specific accounts.
- Company Data Enrichment: Enhancing existing company records with comprehensive and up-to-date information.
These use cases are valuable as well for company registry data, private company data, and other related information for business analysis and decision-making.
Manufacturing Company Data Attributes
These are the typical manufacturing company data attributes, commonly used by data buyers for company identification, market segmentation, and strategic decision-making.
- Company Name: The official name of the business used for identifying and categorizing companies.
- Industry: The industry classification (e.g., SIC, NAICS) used for segmenting markets and conducting sector analysis.
- Revenue: The annual income generated by the company, helpful for evaluating financial health and market position.
- Employee Count: The number of employees within the organization, used for analyzing company size and growth potential.
- Headquarters: The location of the company’s main office, useful for targeting geo-specific leads and opportunities.
- Founding Year: The year the company was established, providing insight into company maturity and longevity.
- Ownership Type: The classification of a company as public, private, or subsidiary, used for assessing investment opportunities and company structure.opportunities and company structure.
- Leadership: Details of key executives and management teams, aiding in networking and leadership evaluation.
- Market Cap: The value of publicly traded companies, important for benchmarking against competitors in the stock market.
- Website: The official company web address, essential for verifying and accessing additional company information.
These typical manufacturing company data attributes can be filtered to suit your specific needs. Find below the right database for you.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a company or business, might be the legal or brand name. | View 57 datasets | |
| String | The industry classification of a company. | View 53 datasets | |
| String | The approx. number of employees working for a company. | View 51 datasets | |
| String | The official website of a company. | View 45 datasets | |
| String | The LinkedIn profile of a company. | View 42 datasets | |
| String | The first name of a contact. | View 41 datasets |
How is Manufacturing Company Data Collected?
Manufacturing company data is gathered using several methods:
- Internal Systems: Information from ERP and CRM systems.
- Surveys and Reports: Data collected from internal and external surveys and reports.
- Third-Party Data Providers: Details from external databases and data providers.
Frequently Asked Questions
How Frequently is Manufacturing Company Data Updated?
Data update frequency varies by provider, with options ranging from daily and weekly to monthly or on-demand updates. Regular updates ensure the data remains relevant and accurate, which is especially important for industries with dynamic market conditions or seasonal trends.
What Formats are Available for Manufacturing Company Data?
Manufacturing Company Data is typically available in common formats such as CSV, JSON, and XLS. Providers also offer integration options, including APIs and secure data transfer methods like SFTP, which allow easy integration into your CRM or analytics systems.
What Geographic Coverage is Available for Manufacturing Company Data?
This data often covers multiple regions globally, including North America, Europe, and Asia. Some datasets specialize in specific countries or offer region-focused data, allowing you to analyze and engage with manufacturing companies in your target markets.
How is Data Privacy Managed in Manufacturing Company Data?
Providers usually comply with data privacy standards like GDPR. Secure delivery methods, such as encrypted APIs, help protect the data. Confirm that the provider adheres to data protection regulations to ensure the ethical and compliant use of manufacturing data.
Can Manufacturing Company Data Be Customized?
Yes, many providers offer customizable datasets based on specific attributes like industry classification, company size, or location. This customization ensures businesses receive data tailored to their unique requirements, maximizing relevance and usefulness.
