Success.ai’s Verified Company Data for the Automotive Industry in North America provides businesses with reliable, detailed insights into automotive companies and decision-makers across the region.

Drawing from over 170 million verified professional profiles and 30 million company profiles, this dataset delivers comprehensive firmographic details, business locations, and direct contact information for automotive manufacturers, suppliers, dealerships, and service providers.

Whether you’re targeting OEMs, aftermarket suppliers, or dealership networks, Success.ai ensures your outreach and strategic initiatives are supported by accurate, continuously updated, and AI-validated data, all backed by our Best Price Guarantee.

Why Choose Success.ai’s Automotive Industry Data?

1. Comprehensive Automotive Company Insights

   • Access verified firmographic details such as company size, revenue range, production capabilities, and geographic locations.
   • AI-driven validation ensures 99% accuracy, providing confidence in your data and streamlining outreach efforts.

2. Coverage of North American Automotive Markets

   • Includes profiles of manufacturers, Tier 1 and Tier 2 suppliers, dealerships, and service centers across the U.S., Canada, and Mexico.
   • Gain visibility into operational structures, market dynamics, and technology adoption trends unique to the North American automotive sector.

3. Continuously Updated Datasets

   • Real-time updates reflect leadership changes, market expansions, plant openings, and emerging business opportunities.
   • Stay ahead of industry trends and maintain alignment with the fast-paced automotive market.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other data privacy regulations, ensuring responsible and lawful use of company data in your campaigns.

Data Highlights:

• 170M+ Verified Professional Profiles: Connect with automotive executives, operations managers, engineers, and procurement specialists across North America.
• 30M Company Profiles: Access detailed insights into supply chains, dealership networks, and aftermarket providers.
• Business Location Data: Pinpoint facilities, plants, and distribution centers to refine supply chain strategies and customer engagement efforts.
• Firmographic Insights: Understand production capacities, specialization areas, and market positions of automotive businesses.

Key Features of the Dataset:

1. Decision-Maker Profiles in the Automotive Sector

   • Identify and engage with CEOs, COOs, plant managers, and R&D directors shaping production, procurement, and innovation strategies.
   • Target professionals influencing vehicle design, supplier contracts, and dealership networks.

2. Advanced Filters for Precision Targeting

   • Filter companies by segment (OEMs, aftermarket suppliers, EV manufacturers), geographic location, production volumes, or technology focus.
   • Tailor campaigns to align with regional trends, sustainability initiatives, and consumer preferences.

3. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight value propositions, and improve engagement outcomes with automotive stakeholders.

Strategic Use Cases:

1. Supplier and Vendor Development

   • Build relationships with Tier 1 and Tier 2 suppliers managing raw materials, components, or technology integrations.
   • Present products or services that enhance efficiency, cost savings, or compliance with sustainability regulations.

2. Market Entry and Expansion Strategies

   • Explore opportunities to enter new markets or expand into EV production, autonomous vehicles, or connected car technologies.
   • Analyze firmographics and location data to select regions or partners aligned with your business goals.

3. Technology and Innovation Outreach

   • Target R&D directors and engineering teams evaluating new technologies like robotics, IoT systems, or AI-driven production tools.
   • Position your solutions to support innovation in EVs, advanced manufacturing, or intelligent supply chains.

4. Dealership and Service Network Optimization

   • Engage with dealership owners and service managers to enhance customer experience, increase operational efficiency, or adopt digital platforms.
   • Present solutions for inventory management, CRM systems, or customer loyalty programs tailored to dealership needs.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality data at competitive prices, ensuring maximum ROI for sales, marketing, and operational initiatives targeting the automotive industry.

2. Seamless Integration

   • Incorporate verified automotive data into your CRM, marketing automation platforms, or supply chain management systems via APIs or downloadable formats.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven d...

Success.ai’s Technographic Data for the North American IT Industry provides unparalleled visibility into the technology stacks, operational frameworks, and key decision-makers powering 30 million-plus businesses across the region’s tech landscape. From established software giants to emerging SaaS startups, this dataset offers verified contacts, firmographic details, and in-depth insights into each company’s technology adoption, infrastructure choices, and vendor partnerships.

Whether you’re aiming to personalize sales pitches, guide product roadmaps, or streamline account-based marketing efforts, Success.ai’s continuously updated and AI-validated data ensures you make data-driven decisions and achieve strategic growth, all backed by our Best Price Guarantee.

Why Choose Success.ai’s North American IT Technographic Data?

1. Comprehensive Technology Insights

   • Access detailed information on software stacks, cloud platforms, hosting providers, cybersecurity tools, CRM solutions, and more.
   • AI-driven validation ensures 99% accuracy, minimizing guesswork and empowering confident engagement with the right tech-focused audiences.

2. Regionally Tailored Focus

   • Includes profiles of IT businesses from Silicon Valley startups to East Coast analytics firms, covering major tech hubs and underserved markets alike.
   • Understand technology adoption patterns influenced by regional trends, regulatory environments, and innovation ecosystems unique to North America.

3. Continuously Updated Datasets

   • Real-time updates reflect emerging vendors, newly adopted tools, infrastructure upgrades, and shifts in IT leadership.
   • Stay aligned with evolving market conditions, competitive landscapes, and customer requirements.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other privacy regulations, ensuring responsible data usage and ethical outreach practices.

Data Highlights:

• 30M+ Verified Business Profiles: Gain insights into software companies, IT consultancies, data analytics providers, cloud integrators, and cybersecurity startups.
• Comprehensive Firmographics: Identify company sizes, revenue ranges, workforce composition, and operational footprints.
• Vendor and Stack Details: Understand which CRMs, ERPs, marketing automation tools, or development frameworks companies rely on.
• Verified Decision-Maker Contacts: Engage with CEOs, CTOs, CIOs, IT directors, DevOps managers, and product leads shaping procurement and integration strategies.

Key Features of the Dataset:

1. Technographic Decision-Maker Profiles

   • Identify and connect with executives, architects, and engineers overseeing vendor selection, digital transformation, and IT investments.
   • Target professionals who influence software procurement, SaaS migrations, and long-term technology roadmaps.

2. Advanced Filters for Precision Targeting

   • Refine outreach by technology categories, usage intensity, company size, region, or industry verticals.
   • Tailor campaigns to align with specific pain points, growth opportunities, or emerging tech trends like AI, IoT, or edge computing.

3. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and boost engagement with IT stakeholders.

Strategic Use Cases:

1. Sales and Account-Based Marketing

   • Present IT solutions, infrastructure services, or software licenses directly to companies with compatible tech stacks.
   • Identify warm leads who already use complementary tools, accelerating deal closures and improving conversion rates.

2. Product Development and Roadmap Planning

   • Analyze common technology adoption patterns, security tools, or workflow integrations to inform product enhancements.
   • Align feature sets with industry standards and emerging stacks, ensuring long-term relevance and customer satisfaction.

3. Competitive Analysis and Market Entry

   • Benchmark against leading IT providers, analyze technology maturity curves, and understand customer preferences for particular platforms.
   • Identify new markets or niches where your offering can fill technology gaps or improve operational efficiency.

4. Partnership and Ecosystem Building

   • Connect with partners offering complementary solutions, integration capabilities, or co-marketing opportunities.
   • Foster alliances with MSPs, VARs, or channel partners who can amplify distribution and support end-to-end solutions.

Why Choose Success.ai?

1. Best Price Guarantee

   • Gain access to premium-quality technographic data at competitive rates, ensuring high ROI for your sales, marketing, and product strategies.

2. Seamless Integration

   • Incorporate verified data into CRM systems, marketing automation platforms, or analytics dashboards via APIs or downloadable formats, streamlining workflows and decision-making.

3....

Industrial Production in the United States increased 0.70 percent in February of 2025 over the previous month. This dataset provides the latest reported value for - United States Industrial Production MoM - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This layer contains data on the number of employees and the number of establishments for selected 2-digit North American Industry Classification System (NAICS) codes from the the United States Census Bureau's County Business Patterns Program (CBP). This is shown by District boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Current Vintage: 2022 CBP Table: CB2000CBP. Data downloaded from: Census Bureau's API for County Business Patterns. Date of API call: January 2, 2025. Please cite the Census Bureau and CBP when using this data. Data Processing Notes: Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. Downloaded data processed by the Office of Planning on R statistical software and ESRI ArcGIS Desktop. Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov for details on these withheld records.

The Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports using the North American Industry Classification System (NAICS). The NAICS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. If you have any questions regarding U.S. international trade data, please call us at 1(800)549-0595 option #4 or email us at eid.international.trade.data@census.gov.

This table contains 52 series, with data for years 1947 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: United States ...) Components (15 items: Total gross national product; Total gross domestic product; Gross domestic product; business; Gross domestic product; business; non-farm ...) Prices (4 items: Current prices; 1992 constant prices; Chained (2000) dollars; Chained (1996) dollars ...).

Success.ai’s Manufacturing Company Data and B2B Contact Data for Global Manufacturing Professionals empowers businesses to connect with key decision-makers in the manufacturing industry worldwide. With access to over 170 million verified professional profiles, this dataset includes critical contact information for executives, managers, engineers, and other professionals in manufacturing, supply chain, and production roles. Whether you're targeting plant managers, operations executives, or procurement officers, Success.ai ensures accurate and effective outreach.

Why Choose Success.ai’s Manufacturing Professionals Data?

1. Comprehensive Contact Information:
2. Access verified work emails, direct phone numbers, and LinkedIn profiles for manufacturing leaders globally.

3. AI-validated data ensures 99% accuracy and up-to-date contact details for your outreach.

4. Global Reach Across Manufacturing Functions:

5. Includes profiles of manufacturing executives, plant managers, procurement specialists, engineers, and more.

6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.

7. Continuously Updated Datasets:

8. Real-time data updates guarantee you always have the latest information about manufacturing professionals.

9. Ethical and Compliant:

10. Adheres to GDPR, CCPA, and other global privacy regulations for ethical use of data.

Data Highlights: - 170M+ Verified Professional Profiles: Includes manufacturing professionals from diverse industries. - 50M Work Emails: Verified and AI-validated for seamless communication. - 30M Company Profiles: Rich insights to support detailed targeting. - 700M Global Professional Profiles: Enriched data for broad business objectives.

Key Features of the Dataset:

1. Manufacturing Decision-Maker Profiles: Identify and connect with top-tier manufacturing professionals including operations leaders, plant managers, procurement officers, and senior executives.

2. Advanced Filters for Precision Targeting: Filter data by industry, company size, location, and specific job roles for optimal outreach.

3. AI-Driven Enrichment: Profiles enriched with actionable data to facilitate personalized engagement and higher success rates in campaigns.

Strategic Use Cases:

1. Supply Chain and Procurement Outreach:
2. Reach professionals involved in purchasing, supply chain management, and vendor relations.

3. Perfect for suppliers of equipment, materials, and logistics services to target key decision-makers in manufacturing.

4. Lead Generation for Manufacturing Solutions:

5. Promote manufacturing software, automation tools, and process optimization solutions.

6. Connect with professionals in charge of manufacturing operations to present cost-saving and efficiency-driving solutions.

7. Market Research and Industry Insights:

8. Gather data for industry trends, connect with thought leaders, and conduct targeted research in the global manufacturing sector.

9. Engage with professionals to build relationships and gain insights into evolving manufacturing practices.

10. Targeted Marketing Campaigns:

11. Design email marketing campaigns or direct outreach strategies targeting manufacturing decision-makers.

12. Utilize accurate contact data to drive higher engagement and conversion rates in your campaigns.

Why Choose Success.ai?

1. Best Price Guarantee: Enjoy the highest quality datasets at the most competitive pricing.

2. Seamless Integration: Easily integrate data into your CRM systems using APIs or download in the preferred format.

3. Data Accuracy with AI Validation: All profiles in this dataset are verified for 99% accuracy, ensuring confidence in the data for marketing, outreach, and decision-making.

4. Customizable and Scalable Solutions: Tailor the dataset to specific manufacturing sectors or job functions for more targeted outreach.

APIs for Enhanced Functionality:

1. Data Enrichment API: Enhance your existing records with verified manufacturing contact data to improve engagement and targeting.

2. Lead Generation API: Automate the lead generation process for manufacturing-specific campaigns to increase efficiency and scale.

Leverage Success.ai’s B2B Contact Data for Manufacturing Professionals to connect with key decision-makers in the global manufacturing industry. With verified emails, phone numbers, and continuously updated profiles, this data ensures that your outreach and communication efforts are impactful and precise.

Contact Success.ai now to elevate your manufacturing industry strategies with verified, AI-validated contact data. And remember—no one beats us on price. Period.

The report covers Data as a Service Companies and it is Segmented by End User (BFSI, IT and Telecommunications, Government, Retail, Education, Oil and Gas, and Other End Users) and Geography (North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa). The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching 149 zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than 394 zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just two percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of 19.2 percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached 6.7 zettabytes.

Tables presenting supply chain and margin emission factors and data quality scores for US commodities and industries calculated from USEEIO models at two levels of commodity/industry categorization, detail and summary, for both industries and commodity, and annually from 2010-2016. These factors were produced with useeior v1.0.1. See the EPA report for full details on emission factor preparation. This dataset is associated with the following publication: Ingwersen, W., and M. Li. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Industry, TX, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Industry did not include 2, 3, 6, or 7-person households. Across the different household sizes in Industry the mean income is $112,886, and the standard deviation is $28,896. The coefficient of variation (CV) is 25.60%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $117,549. It then further increased to $139,167 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/industry-tx-median-household-income-by-household-size.jpeg" alt="Industry, TX median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Industry median household income. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Industry, Maine, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Industry town did not include 1, 6, or 7-person households. Across the different household sizes in Industry town the mean income is $65,898, and the standard deviation is $13,501. The coefficient of variation (CV) is 20.49%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 2-person households, with an income of $83,095. It then further decreased to 68,655 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/industry-me-median-household-income-by-household-size.jpeg" alt="Industry, Maine median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Industry town median household income. You can refer the same here

United States Private Employee: SDB: Establishments: 1-99 Workers data was reported at 29.000 % in 2017. This records an increase from the previous number of 28.000 % for 2016. United States Private Employee: SDB: Establishments: 1-99 Workers data is updated yearly, averaging 26.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 29.000 % in 2017 and a record low of 22.000 % in 2000. United States Private Employee: SDB: Establishments: 1-99 Workers data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G076: Employee Benefits Survey: Private Industry.

United States Private Employee: DCP: Establishments: 1-99 Workers data was reported at 35.000 % in 2018. This stayed constant from the previous number of 35.000 % for 2017. United States Private Employee: DCP: Establishments: 1-99 Workers data is updated yearly, averaging 32.000 % from Mar 1999 (Median) to 2018, with 18 observations. The data reached an all-time high of 35.000 % in 2018 and a record low of 27.000 % in 2000. United States Private Employee: DCP: Establishments: 1-99 Workers data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G077: Employee Benefits Survey: Private Industry.

United States SBP: RT: Back to Usual Operations: 1 Mos or Less data was reported at 0.900 % in 04 Oct 2020. This stayed constant from the previous number of 0.900 % for 27 Sep 2020. United States SBP: RT: Back to Usual Operations: 1 Mos or Less data is updated weekly, averaging 2.050 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 4.700 % in 07 Jun 2020 and a record low of 0.600 % in 23 Aug 2020. United States SBP: RT: Back to Usual Operations: 1 Mos or Less data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S035: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).

United States Private Employee: SCB: Establishments: 1-99 Workers data was reported at 3.000 % in 2017. This stayed constant from the previous number of 3.000 % for 2016. United States Private Employee: SCB: Establishments: 1-99 Workers data is updated yearly, averaging 3.000 % from Mar 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 3.000 % in 2017 and a record low of 2.000 % in 2006. United States Private Employee: SCB: Establishments: 1-99 Workers data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G076: Employee Benefits Survey: Private Industry.

United States SBP: MQ: Back to Usual Operations: 1 Mos or Less data was reported at 2.900 % in 14 Jun 2020. This records an increase from the previous number of 1.900 % for 07 Jun 2020. United States SBP: MQ: Back to Usual Operations: 1 Mos or Less data is updated weekly, averaging 2.900 % from Apr 2020 (Median) to 14 Jun 2020, with 5 observations. The data reached an all-time high of 3.500 % in 26 Apr 2020 and a record low of 1.900 % in 07 Jun 2020. United States SBP: MQ: Back to Usual Operations: 1 Mos or Less data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).

Nonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax, and have receipts of $1,000 or more ($1 or more for the Construction sector). The data consist of the number of businesses and total receipts by industry. Data are published by legal form of organization (U.S. and state only) and receipts-size class of establishments (U.S. level only).

Success.ai’s Prospect Data for the Manufacturing Sector in North America provides businesses with a powerful dataset to connect with manufacturers and industry leaders across the United States, Canada, and Mexico. This dataset offers verified contact details, detailed firmographic insights, and business location data for companies in a wide range of manufacturing sectors, including automotive, electronics, consumer goods, industrial equipment, and more.

With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures that your outreach, market research, and business development efforts are powered by accurate, continuously updated, and AI-validated data.

Backed by our Best Price Guarantee, this solution is ideal for businesses looking to succeed in the dynamic North American manufacturing industry.

Why Choose Success.ai’s Manufacturing Prospect Data?

1. Verified Contact Data for Effective Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of manufacturing executives, plant managers, procurement officers, and engineers.
   • AI-driven validation ensures 99% accuracy, reducing bounce rates and optimizing communication efficiency.

2. Regional Focus on North American Manufacturing

   • Includes profiles of manufacturers across key markets such as the U.S., Canada, and Mexico, covering diverse sectors and specialties.
   • Gain insights into regional industry trends, operational practices, and supply chain dynamics unique to North America.

3. Continuously Updated Datasets

   • Real-time updates reflect leadership changes, production expansions, market shifts, and operational improvements.
   • Stay aligned with the rapidly evolving manufacturing sector to identify opportunities and maintain relevance.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and compliant use of data for your campaigns.

Data Highlights:

• 170M+ Verified Professional Profiles: Engage with decision-makers, engineers, and operational leaders driving manufacturing innovation across North America.
• 30M Company Profiles: Access firmographic data, including revenue ranges, workforce sizes, and geographic locations.
• Verified Leadership Contacts: Connect directly with CEOs, COOs, plant managers, and procurement leads shaping manufacturing operations.
• Business Insights: Understand production capacities, supply chain networks, and technology adoption rates.

Key Features of the Dataset:

1. Manufacturing Decision-Maker Profiles

   • Identify and connect with leaders responsible for vendor selection, process optimization, and technology integration.
   • Target professionals making decisions on resource allocation, production planning, and quality control.

2. Firmographic and Geographic Data

   • Access detailed business information, including company sizes, production capacities, and geographic footprints.
   • Pinpoint manufacturing hubs, regional facilities, and distribution centers to enhance supply chain strategies.

3. Advanced Filters for Precision Targeting

   • Filter companies by industry segment (automotive, electronics, consumer goods), geographic location, company size, or revenue range.
   • Align campaigns with specific manufacturing needs, such as sustainability, cost optimization, or digital transformation.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow you to craft personalized messaging, highlight unique value propositions, and improve engagement with manufacturing stakeholders.

Strategic Use Cases:

1. Sales and Lead Generation

   • Present products, services, or technologies designed to enhance manufacturing efficiency, cost savings, or production quality.
   • Build relationships with procurement managers, operations directors, and plant supervisors.

2. Market Research and Competitive Analysis

   • Analyze trends in North American manufacturing to identify growth opportunities, emerging markets, and industry challenges.
   • Benchmark against competitors to refine product offerings, pricing models, and go-to-market strategies.

3. Supply Chain and Vendor Development

   • Engage with manufacturers seeking reliable suppliers, logistics partners, or raw material sources.
   • Position your company as a strategic partner for supply chain optimization and sustainability initiatives.

4. Technology Integration and Innovation

   • Target R&D professionals and operations leaders exploring robotics, AI, IoT, or automation tools.
   • Offer solutions to support digital transformation, improve production scalability, or enhance workforce productivity.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality manufacturing data at competitive prices, ensuring maximum ROI for your outreach and strategic initiatives....

This table contains 909 series, with data for years 1981 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Seasonal adjustment (2 items: Seasonally adjusted at annual rates; Trading-day adjusted ...) Prices (2 items: Chained (2002) dollars; 2002 constant prices ...) North American Industry Classification System (NAICS) (303 items: All industries; Business sector industries; Business sector; goods; Business sector; services ...).