The size of the North America Industrial Manufacturing Industry market was valued at USD 58.35 Million in 2023 and is projected to reach USD 91.39 Million by 2032, with an expected CAGR of 6.62% during the forecast period. The North American industrial manufacturing industry is a cornerstone of economic growth, driving innovation and productivity across sectors. This industry encompasses a wide range of operations, including automotive, aerospace, electronics, machinery, and chemicals, each adapting to changing market demands and technological advancements. As of recent years, digital transformation has become pivotal, with companies increasingly adopting Industry 4.0 technologies like the Internet of Things (IoT), artificial intelligence (AI), robotics, and big data analytics. These innovations are enabling manufacturers to enhance efficiency, reduce costs, and improve production flexibility. A significant trend is the shift towards sustainable practices and renewable energy sources, partly driven by regulatory pressures and the growing emphasis on corporate social responsibility (CSR). Manufacturers are focusing on energy-efficient processes, circular economy principles, and low-emission manufacturing, aiming to meet environmental, social, and governance (ESG) standards. The supply chain disruptions, especially during the COVID-19 pandemic, underscored the need for resilience and prompted investments in supply chain diversification, automation, and local sourcing to mitigate risks. Recent developments include: June 2023: Honeywell, an American global company, and LG CNS are collaborating further to increase smart factories' production efficiency and security. Through this collaboration, the two companies will expand cooperation in building smart factories at home and abroad and strengthen OT (Operating Technology) security, which monitors the production process in real-time and remotely controls facilities., March 2023: LG Energy Solution announced an investment of around KRW 7.2 trillion (USD 5.5 billion) in building a battery manufacturing hub in Queen Creek, Arizona. This hub will include two facilities: one for making cylindrical batteries for electric vehicles (EVs) and another for producing lithium iron phosphate (LFP) pouch-type batteries for energy storage systems (ESS)., October 2022: Emerson announced the evolution of Plantweb, a digital ecosystem incorporating the AspenTech portfolio of asset optimization software powered by industrial artificial intelligence, creating the industry's most comprehensive digital transformation portfolio. Moreover, its Plantweb digital ecosystem, optimized by AspenTech, enables industrial manufacturers across all sectors to "See, Decide, Act, and Optimize" their operations.. Key drivers for this market are: Increasing Demand for Automation to Achieve Efficiency and Quality, Need for Compliance and Government Support for Digitization; Proliferation of Internet of Things. Potential restraints include: Concerns Regarding Data Security, High Initial Installation Costs and Lack of Skilled Workforce Preventing Enterprises from Full-scale Adoption. Notable trends are: Robotics is Expected to Witness Significant Growth.

Graph and download economic data for Manufacturers Inventories (MNFCTRIMNSA) from Jan 1992 to May 2025 about inventories, manufacturing, and USA.

Graph and download economic data for Manufacturers' New Orders: Total Manufacturing (AMTMNO) from Feb 1992 to May 2025 about new orders, orders, headline figure, new, manufacturing, industry, and USA.

The United States manufacturing sector output increased 2.3 percent in the second quarter of 2025. The data are seasonally adjusted at annual rates. Manufacturing sector output is a chain-type, current-weighted index constructed after excluding from the gross domestic product (GDP) the following outputs: general government, nonprofit institutions, and private households (including owner-occupied housing). Corresponding exclusions are also made in labor inputs.

The Annual Survey of Manufactures (ASM) provides key intercensal measures of manufacturing activity, products, and location for the public and private sectors. The ASM provides the best current measure of current U.S. manufacturing industry outputs, inputs, and operating status, and is the primary basis for updates of the Longitudinal Research Database (LRD). Census Bureau staff and academic researchers with sworn agent status use the LRD for micro data analysis.

Snapshot img

Big Data In Manufacturing Market Size 2025-2029

The big data in manufacturing market size is forecast to increase by USD 21.44 billion at a CAGR of 26.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of Industry 4.0 and the emergence of artificial intelligence (AI) and machine learning (ML) technologies. The integration of these advanced technologies is enabling manufacturers to collect, process, and analyze vast amounts of data in real-time, leading to improved operational efficiency, enhanced product quality, and increased competitiveness. Cost optimization is achieved through root cause analysis and preventive maintenance, and AI algorithms and deep learning are employed for capacity planning and predictive modeling.
To capitalize on the opportunities presented by the market and navigate these challenges effectively, manufacturers must invest in building strong data analytics capabilities and collaborating with technology partners and industry experts. By leveraging these resources, they can transform raw data into actionable insights, optimize their operations, and stay ahead of the competition. The sheer volume, velocity, and variety of data being generated require sophisticated tools and expertise to extract meaningful insights. Additionally, ensuring data security and privacy, particularly in the context of increasing digitalization, is a critical concern.

What will be the Size of the Big Data In Manufacturing Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

In the dynamic manufacturing market, Business Intelligence (BI) plays a pivotal role in driving operational efficiency and competitiveness. Blockchain technology and industrial automation are key trends, enhancing transparency and security in supply chain operations. Real-time monitoring systems, Data Integration Tools, and Data Analytics Dashboards enable manufacturers to gain insights from vast amounts of data. Lifecycle analysis, Smart Manufacturing, and Cloud-based Data Analytics facilitate predictive maintenance and optimize production.
PLC programming, Edge AI, KPI tracking, and Automated Reporting facilitate data-driven decision making. Manufacturing Simulation Software and Circular Economy principles foster innovation and sustainability. The market is transforming towards Digital Transformation, incorporating Predictive Maintenance Software and Digital Thread for enhanced visibility and agility. SCADA systems, Carbon Footprint, and Digital Thread promote sustainable manufacturing practices. AI-powered Quality Control, Performance Measurement, and Sensor Networks ensure product excellence.

How is this Big Data In Manufacturing Industry segmented?

The big data in manufacturing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Services
  Solutions


Deployment

  On-premises
  Cloud-based
  Hybrid


Application

  Operational analytics
  Production management
  Customer analytics
  Supply chain management
  Others


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Type Insights

The services segment is estimated to witness significant growth during the forecast period. In the realm of manufacturing, the rise of data from sensors, machines, and operations presents a significant opportunity for analytics and insights. Big data services play a pivotal role in this landscape, empowering manufacturers to optimize resource allocation, minimize operational inefficiencies, and discover cost-saving opportunities. Real-time analytics enable predictive maintenance, reducing unplanned downtime and repair costs. Data visualization tools offer human-machine interfaces (HMIs) for seamless interaction, while machine learning and predictive modeling uncover hidden patterns and trends. Data security is paramount, with robust access control, encryption, and disaster recovery solutions ensuring data integrity. Supply chain management and demand forecasting are streamlined through data integration and real-time analytics.

Quality control is enhanced with digital twins and anomaly detection, minimizing defects and rework. Capacity planning and production monitoring are optimized through time series analysis and neural networks. IoT sensors and data acquisition systems feed data warehouses and data lakes, fueling statistical analysis and regression modeling. Energy efficiency is improved through data-driven insights, while inventory management

United States Mfg Ind: New Orders: Consumer Goods data was reported at 216.135 USD bn in May 2018. This records an increase from the previous number of 207.342 USD bn for Apr 2018. United States Mfg Ind: New Orders: Consumer Goods data is updated monthly, averaging 147.811 USD bn from Feb 1992 (Median) to May 2018, with 316 observations. The data reached an all-time high of 219.318 USD bn in May 2014 and a record low of 84.827 USD bn in Jul 1993. United States Mfg Ind: New Orders: Consumer Goods data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.C005: Manufacturing Industries: By NAIC System: New Orders.

According to a 2024 survey, Dell EMC was the most popular manufacturer for data center storage equipment among U.S. and European organizations. Formerly EMC Corporation, the U.S. firm was acquired by Dell in 2016. NetApp and Hewlett Packard Enterprise (HPE) were the next most popular manufacturers.

Graph and download economic data for Total Construction Spending: Manufacturing in the United States (TLMFGCONS) from Jan 2002 to Jun 2025 about expenditures, construction, manufacturing, and USA.

This data set contains Utah data from the Annual Survey of Manufactures: Geographic Area Statistics: Statistics for All Manufacturing by State: 2010 and 2009 more information 2010 Annual Survey of Manufactures.

United States Mfg Ind: New Orders: Electrical Equipment, Appliances,Component (EE) data was reported at 12.277 USD bn in Jun 2018. This records an increase from the previous number of 11.538 USD bn for May 2018. United States Mfg Ind: New Orders: Electrical Equipment, Appliances,Component (EE) data is updated monthly, averaging 9.588 USD bn from Feb 1992 (Median) to Jun 2018, with 317 observations. The data reached an all-time high of 12.279 USD bn in Jun 2008 and a record low of 6.311 USD bn in Jul 1992. United States Mfg Ind: New Orders: Electrical Equipment, Appliances,Component (EE) data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.C005: Manufacturing Industries: By NAIC System: New Orders.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

Brand name pharmaceutical manufacturers in the US are some of the most lucrative in the world. Consumers in the US use and spend more on prescription drugs than any other country, making manufacturers central to meeting this demand and supporting public health. This role was evident during the COVID-19 pandemic, as brand name pharma producers researched, produced and distributed vital vaccines in record time. Aside from vaccine development, domestic manufacturers can attribute rising spending on brand name drugs to several factors, including an aging population, expanding health coverage, new drug approvals and medical advances in expensive specialty areas like rare diseases and oncology. Still, mounting scrutiny facing brand name pharma makers focuses on pricing policies and patent protections, suggesting that the industry’s strong performance indicates monopolistic practices and price hikes rather than rising prescription drug use. Operating pressures have weakened revenue growth, with revenue declining at a CAGR of 0.5% over the past five years to an estimated $271.2 billion, including expected growth of 3.0% in 2025. One of the most notable pieces of regulation to date impacting brand name pharmaceutical producers is the Inflation Reduction Act (IRA). Passed in 2022, the IRA introduces multiple provisions impacting the industry, permanently reshaping how pharmaceutical manufacturers will operate. Key provisions of the IRA include Medicare’s ability to negotiate drug prices, rebates for excessive price increases and an out-of-pocket spending cap. While a substantial body of criticism and legal challenges surrounding the IRA exists, it marks the movement to lower drug spending for patients and the federal government. Several oncology drugs, which are major revenue drivers for the industry, are among those included on Medicare’s initial drug price negotiation list. While brand name pharma manufacturers will navigate an evolving environment, robust R&D investments, M&A and innovative therapies will offset these pressures. R&D investments will yield innovative therapies to address unmet needs, bolstering product pipelines. At the same time, an increasing prevalence of chronic illness and a growing number of adults over 65 will support a steep demand for prescription drugs. Merger and acquisition activity seen in recent years won’t slow down as incumbents look for ways to diversify pipelines, access new technologies or reach new markets as pressures from patent cliffs and the regulatory landscape mount. The success of new drug classes like GLP-1 receptor agonists will shape the industry, with these therapies driving demand in diabetes and obesity treatment. At the same time, trade tensions and bipartisan pressure to reshore pharmaceutical manufacturing will prompt companies to revisit supply chains and domestic production strategies in response to geopolitical risk and tariff policies. Overall, revenue will expand, increasing at a CAGR of 3.2% to an estimated $317.0 billion over the next five years.

28 Active Global Us style rice suppliers, manufacturers list and Global Us style rice exporters directory compiled from actual Global export shipments of Us style rice.

United States - Manufacturers Sales was 602411.00000 Mil. of $ in June of 2025, according to the United States Federal Reserve. Historically, United States - Manufacturers Sales reached a record high of 602411.00000 in June of 2025 and a record low of 227721.00000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Manufacturers Sales - last updated from the United States Federal Reserve on August of 2025.

This paper documents how US firms organize goods production across firm and country boundaries. Most US firms that perform physical transformation tasks in-house using foreign manufacturing plants in 2007 also own US manufacturing plants; moreover manufacturing comprises their main domestic activity. By contrast, “factoryless goods producers” outsource all physical transformation tasks to arm's-length contractors, focusing their in-house efforts on design and marketing. This distinct firm type is missing from standard analyses of manufacturing, growing in importance, and increasingly reliant on foreign suppliers. Physical transformation “within-the-firm” thus coincides with substantial physical transformation “within-the-country,” whereas its performance “outside-the-firm” often also implies “outside-the-country.” Despite these differences, factoryless goods producers and firms with foreign and domestic manufacturing plants both employ relatively high shares of US knowledge workers. These patterns call for new models and data to capture the potential for foreign production to support domestic innovation, which US firms leverage around the world.

Graph and download economic data for Manufacturers' Unfilled Orders: Total Manufacturing (AMTMUO) from Jan 1992 to Jun 2025 about unfilled orders, orders, manufacturing, industry, and USA.

US Toy Manufacturers by State

Number of Toy Manufacturers by State (2005-2016)

By Throwback Thursday [source]

About this dataset

The Week 39 - US Toy Manufacturers 2005-2016 dataset provides comprehensive information on the number of toy manufacturers operating in the United States from 2005 to 2016. It categorizes these manufacturers based on their geographical locations, specifically states within the country. The dataset contains three columns: State, which represents the state where each toy manufacturer is located; Year, which indicates the specific year when data was recorded; and Number of Manufacturers, which signifies the total count of toy manufacturers in a particular state and year.

The data source for this dataset is the U.S. Census Bureau's County Business Patterns report spanning over eleven years. This dataset aims to offer valuable insights into industry trends and fluctuations within the toy manufacturing sector across different states in America during this period.

Please note that actual dates are not mentioned in this description, as they were excluded as per your instruction

How to use the dataset

Introduction:

• Exploring the Dataset: a. The dataset consists of three columns: State, Year, and Number of Manufacturers. b. The State column represents different states in the United States where toy manufacturers are located. c. The Year column indicates when each data point was recorded. d. The Number of Manufacturers column provides information on how many toy manufacturers were present for each state and year.

• Understanding Categorical and Numeric Data: a. Categorical Data (State): This data is non-numerical and represents different states in the United States.

  • You can use this data to analyze regional distribution patterns or compare different states based on their number of toy manufacturers.

  b. Numeric Data (Year & Number of Manufacturers): These columns contain numerical values. - 'Year' data allows you to identify trends or patterns over time within each state's toy manufacturing industry. - 'Number of Manufacturers' data enables you to understand variations in manufacturer count for specific years across multiple states.

• Analysis Tips: a) Identifying State-Wise Variation: - Grouping by state, calculate average/minimum/maximum number of manufacturers over specified years, e.g., which state consistently had maximum/minimum numbers during this period?

  b) Analyzing Trends Over Time: - Grouping by year across all states or specific ones, calculate average/minimum/maximum number of manufacturers, e.g., what was the overall trend for toy manufacturers in certain states or across the country?

• Visualizing Insights: a) Bar/Column charts: Represent the number of manufacturers by state or year, allowing easy comparison between different categories.

• Combining with External Data: a) Explore correlations:

  • Combine this dataset with external factors like economic indicators to analyze how changes in different aspects might have influenced toy manufacturing trends.

• Additional Considerations:

  • Ensure you validate and cross-reference findings or hypotheses using other sources.
  • If incorporating results into your work, remember to cite the

Research Ideas

• Market Analysis: This dataset can be used to analyze the toy manufacturing industry in different states over time. By comparing the number of manufacturers in each state, trends and patterns can be identified. This information can be helpful for market analysis, identifying potential growth areas, and understanding market saturation.
• Economic Development: The dataset can be utilized by policymakers and government agencies to assess the economic development of different states. By looking at the number of toy manufacturers over time, policymakers can determine which states are attracting more business investment and potentially replicate those factors in other regions.
• Demographic Analysis: The dataset can also provide insights into demographic trends related to toy manufacturing. By analyzing changes in the number of manufacturers across different years and states, researchers could identify if there are any correlations with population growth or decline, employment rates, or other demographic factors

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset descript...

Manufacturing Company Data for Market Share, Risk & B2B Intelligence Manufacturing company data is a critical resource for understanding how industrial businesses operate, expand, and compete. Canaria’s enriched manufacturing company data delivers verified, structured intelligence on thousands of US manufacturing companies, including firmographics, operational scale, geographic footprint, and public metadata.

Sourced from trusted platforms like Google Maps and Indeed, this manufacturing company dataset includes branch-level details, industry classifications, headcount estimates, and location intelligence. It’s designed to support workflows in company analysis, competitive intelligence, market share modeling, B2B lead generation, and company risk monitoring.

Use Cases: What Problems This Manufacturing Company Data Solves Canaria’s manufacturing company data transforms fragmented industrial records into match-ready, analyzable insights. Whether you’re targeting manufacturing companies for sales outreach or tracking competitors across regions, this dataset offers powerful real-world coverage.

Company Analysis • Profile manufacturing companies by size, industry sector, location, and facility count • Map HQ and branch locations using Google Maps-enriched manufacturing company profiles • Track workforce and operational structure using public metadata from Indeed company pages • Benchmark industrial clusters or strategic suppliers with firmographic manufacturing company insights

Market Share & Competitive Intelligence • Compare manufacturing companies by production presence, regional scale, and sector focus • Identify dominant players and rising competitors in key U.S. industrial zones • Track market penetration using branch data across manufacturing company datasets • Model sector fragmentation using enriched manufacturing firmographics and location patterns

Company Risk Analysis • Spot site closures or contraction trends across manufacturing companies • Analyze Indeed signals and Maps metadata for early signs of distress • Track operational risk by comparing listed locations with verified manufacturing company activity • Identify companies that pose supply chain exposure or regional over-concentration

Business Intelligence & Strategic Planning • Segment manufacturing companies by size bands and physical presence • Build BI dashboards using real-world manufacturing company data and Google Maps overlays • Support go-to-market strategy using granular insights from manufacturing company profiles • Integrate into your CRM or lead scoring system with structured, matchable attributes

B2B Manufacturing Lead Generation • Generate targeted B2B manufacturing leads with validated firmographic and geographic data • Filter manufacturing companies by size, state, industry, or proximity to target regions • Identify fast-growing or undercovered manufacturing companies using enriched metadata • Match B2B records with up-to-date manufacturing company data to boost targeting precision

What Makes This Manufacturing Company Data Unique Match-Ready for Enterprise Workflows • Seamlessly integrates with internal data pipelines, CRMs, BI tools, and enrichment APIs

Verified Location Intelligence • Every manufacturing company entry is linked to Google Maps coordinates, reviews, and working hours

Indeed Company Enrichment • Public descriptions, ratings, categories, and signals from Indeed company profiles

Clean & Normalized Format • Structured manufacturing company data with taxonomy-mapped fields ready for real-time use

Frequently Updated • New manufacturing companies and branch locations are refreshed weekly or monthly to ensure accuracy

Who Benefits from Manufacturing Company Data • B2B sales teams targeting U.S. manufacturing companies by size, sector, or region • Strategy and BI teams modeling manufacturing market share and competitive presence • Consultants analyzing facility-level distribution of industrial companies • Risk teams evaluating exposure to underperforming manufacturing companies • RevOps and ABM teams integrating high-quality manufacturing company leads into CRM platforms • M&A analysts scouting fragmented manufacturing segments for consolidation

Summary Canaria’s Manufacturing Company Data provides deep visibility into the U.S. manufacturing economy. Enriched with Google Maps and Indeed company data, this structured dataset supports actionable insights across company analysis, B2B lead generation, risk assessment, and market share modeling.

With verified manufacturing company profiles, matchable records, and regular updates, this product helps teams move from static firmographics to high-resolution industrial intelligence — powering decisions in sales, strategy, finance, and analytics.

About Canaria Inc. Canaria Inc. is a leader in alternative data, specializing in job market intelligence, LinkedIn company data, Glassdoor salary analytics, and Google Maps location insights. We deliver clean, structure...