This statistic shows the projected number of firms in the manufacturing industry in the United States in 2019 and 2026, by size of firm. By 2026, the manufacturing industry in the U.S. is projected to have 383 companies each employing over 10,000 people.

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 Manufacturing Sector: Output per Worker for All Workers (PRS30006163) from Q1 1987 to Q1 2025 about output, sector, personal, manufacturing, real, and USA.

Manufacturing sector unit labor costs in the United States increased by 1.6 percent in the first quarter of 2025. The data are seasonally adjusted at annual rates. Unit labor costs describe the relationship between compensation per hour and productivity, or real output per hour, and can be used as an indicator of inflationary pressure on producers. Increases in hourly compensation increase unit labor costs; labor productivity increases offset compensation increases and lower unit labor costs.

Graph and download economic data for Manufacturing Sector: Capital Intensity (MPU9900083) from 1988 to 2023 about productivity, sector, capital, manufacturing, rate, and USA.

Graph and download economic data for Percent of Employment in Manufacturing in the United States (DISCONTINUED) (USAPEFANA) from 1970 to 2012 about percent, manufacturing, employment, and USA.

In April 2025, the Industrial Production Index (IPI) came to a value of ***** in the United States. This reflects no significant change from the previous month.The IPI was created by the Federal Reserve to measure the performance of industrial production - manufacturing, mining, electric and gas industries - in the United States relative to a base year. A value of over *** shows positive production performance, while a value below *** indicates an industrial production performance below the standards of the base year.

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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.
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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

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.

Employment statistics on the Manufacturing industry in the US

United States US: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data was reported at 11.601 % in 2016. This records a decrease from the previous number of 11.919 % for 2015. United States US: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data is updated yearly, averaging 12.807 % from Dec 1997 (Median) to 2016, with 20 observations. The data reached an all-time high of 16.022 % in 1997 and a record low of 11.601 % in 2016. United States US: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Share of GDP. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

This statistic shows the projected number of workers in the manufacturing industry in the United States in 2019 and 2026, by size of firm. By 2026, the manufacturing industry in the U.S. is projected to have more than 2.96 million workers at firms employing 10,000 people or more.

Key Table Information.Table Title.Manufacturing: Location of Manufacturing Establishments by Employment Size for the U.S., States, and Counties: 2022.Table ID.ECNLOCMFG2022.EC2231LOCMFG.Survey/Program.Economic Census.Year.2022.Dataset.ECN Sector Statistics Economic Census: Manufacturing: Location of Manufacturing Establishments by Employment Size for the U.S., States, and Counties.Source.U.S. Census Bureau, 2022 Economic Census, Sector Statistics.Release Date.2025-05-15.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Employment size of establishmentsNumber of establishmentsFor more information about the survey, see Economic Census..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S., State, and County levels that vary by industry. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 6-digit 2022 NAICS code levels for U.S. and States; and at the 2- through 3-digit 2022 NAICS code levels for Counties. For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector31/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Ec...

Graph and download economic data for Manufacturing Sector: Output per Worker for All Workers (PRS30006162) from Q2 1987 to Q1 2025 about productivity, output, sector, per capita, manufacturing, real, rate, and USA.

Employment statistics on the Truck & Bus Manufacturing industry in the US

In 2022, around 80 percent of the manufacturing companies in the United States anticipated a cyber attack within the following year. Only a few years back, in 2018, this share stood at 64 percent. This development is partially connected to the growing number of cyber attacks in the manufacturing sector and companies' increasing awareness of cybercrime.

United States US: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 41.166 % in 2015. This stayed constant from the previous number of 41.166 % for 2014. United States US: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 49.199 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 51.786 % in 1998 and a record low of 38.398 % in 1996. United States US: GDP: % of Manufacturing: Medium and High Tech Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing; ; United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database; ;

Employment statistics on the Medical Device Manufacturing industry in United States

In recent years, beauty product manufacturers have faced significant losses due to unfavorable economic conditions, including high inflation and increasing economic uncertainty. Many cosmetics and beauty products are considered discretionary, causing sales to weaken when disposable income drops. Heightened inflationary pressures in recent years pushed consumers to postpone purchases to downgrade to more affordable products, contributing to revenue losses between 2020 and 2022. Although domestic manufacturers have begun to recover, recent gains are largely driven by higher selling prices despite the smaller basket sizes. Since 2020, revenue has weakened by an estimated CAGR of 1.2% to reach $45.3 billion in 2025, including a 2.4% gain that year alone. During such times, consumers tend to opt for more affordable options, leading to a surge in imports to meet domestic demand. Imported beauty products have gained a larger share of the domestic market, especially those from countries like France, Italy and South Korea, which are perceived to offer higher quality. The growing demand for innovative, inclusive, sustainable and technical products—especially anti-aging and luxury items—creates growth opportunities for domestic manufacturers. Also, companies like Glossier, which leverages social media marketing and the heightened demand for US-made products, have successfully reached international consumers, driving an increase in exports. The ongoing economic recovery is expected to benefit domestic beauty product manufacturers. As consumer confidence and disposable income climb, spending on discretionary items like beauty products will likely increase, supporting manufacturers' performance. The anticipated decline in the world price of zinc, a key material for manufacturers, due to resolved international conflicts, will boost producers' profit. Similarly, the expected depreciation of the US dollar will enhance the performance of domestic producers both domestically and internationally. These factors are set to cause revenue to accelerate at an annualized 2.5% to $51.3 billion through the end of 2025.

This statistic represents the industrial production index for the manufacturing of electrical equipment in the U.S. between 2016 to 2019. In 2019, the manufacturing of electrical equipment, appliances, and components had an industrial production index of 103.3 compared to the 2012 baseline.