In 2023, there were an estimated *** million employees working in the tech sector in the United States, including both technical and business professionals working in the tech industry. Overall, the number of employees in the U.S. tech sector increased every year since 2017, and was further projected to reach some *** million tech industry employees by the end of 2024.

The number of manufacturing enterprises in the United States was forecast to continuously decrease between 2024 and 2029 by in total 6.7 thousand enterprises (-2.21 percent). After the fourteenth consecutive decreasing year, the number is estimated to reach 297.07 thousand enterprises and therefore a new minimum in 2029. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Depicted here are enterprises in the industrial sector of manufacturing, as defined in the ISIC classification framework.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Diversity in Tech Statistics: In today's tech-driven world, discussions about diversity in the technology sector have gained significant traction. Recent statistics shed light on the disparities and opportunities within this industry. According to data from various sources, including reports from leading tech companies and diversity advocacy groups, the lack of diversity remains a prominent issue. For example, studies reveal that only 25% of computing jobs in the United States are held by women, while Black and Hispanic individuals make up just 9% of the tech workforce combined. Additionally, research indicates that LGBTQ+ individuals are underrepresented in tech, with only 2.3% of tech workers identifying as LGBTQ+. Despite these challenges, there are promising signs of progress. Companies are increasingly recognizing the importance of diversity and inclusion initiatives, with some allocating significant resources to address these issues. For instance, tech giants like Google and Microsoft have committed millions of USD to diversity programs aimed at recruiting and retaining underrepresented talent. As discussions surrounding diversity in tech continue to evolve, understanding the statistical landscape is crucial in fostering meaningful change and creating a more inclusive industry for all. Editor’s Choice In 2021, 7.9% of the US labor force was employed in technology. Women hold only 26.7% of tech employment, while men hold 73.3% of these positions. White Americans hold 62.5% of the positions in the US tech sector. Asian Americans account for 20% of jobs, Latinx Americans 8%, and Black Americans 7%. 83.3% of tech executives in the US are white. Black Americans comprised 14% of the population in 2019 but held only 7% of tech employment. For the same position, at the same business, and with the same experience, women in tech are typically paid 3% less than men. The high-tech sector employs more men (64% against 52%), Asian Americans (14% compared to 5.8%), and white people (68.5% versus 63.5%) compared to other industries. The tech industry is urged to prioritize inclusion when hiring, mentoring, and retaining employees to bridge the digital skills gap. Black professionals only account for 4% of all tech workers despite being 13% of the US workforce. Hispanic professionals hold just 8% of all STEM jobs despite being 17% of the national workforce. Only 22% of workers in tech are ethnic minorities. Gender diversity in tech is low, with just 26% of jobs in computer-related sectors occupied by women. Companies with diverse teams have higher profitability, with those in the top quartile for gender diversity being 25% more likely to have above-average profitability. Every month, the tech industry adds about 9,600 jobs to the U.S. economy. Between May 2009 and May 2015, over 800,000 net STEM jobs were added to the U.S. economy. STEM jobs are expected to grow by another 8.9% between 2015 and 2024. The percentage of black and Hispanic employees at major tech companies is very low, making up just one to three percent of the tech workforce. Tech hiring relies heavily on poaching and incentives, creating an unsustainable ecosystem ripe for disruption. Recruiters have a significant role in disrupting the hiring process to support diversity and inclusion. You May Also Like To Read Outsourcing Statistics Digital Transformation Statistics Internet of Things Statistics Computer Vision Statistics

Market Size statistics on the IT Consulting industry in the US

Graph and download economic data for Business Sector: Employment for All Workers (PRS84006011) from Q1 1948 to Q1 2025 about productivity, sector, business, employment, rate, and USA.

United States US: Aerospace Industry: Trade Balance data was reported at 48.890 USD bn in 2021. This records an increase from the previous number of 37.029 USD bn for 2020. United States US: Aerospace Industry: Trade Balance data is updated yearly, averaging 39.437 USD bn from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 86.993 USD bn in 2016 and a record low of 20.681 USD bn in 1995. United States US: Aerospace Industry: Trade Balance data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Trade Statistics: OECD Member: Annual.

For the United States, from 2021 onwards, changes to the US BERD survey questionnaire allowed for more exhaustive identification of acquisition costs for ‘identifiable intangible assets’ used for R&D. This has resulted in a substantial increase in reported R&D capital expenditure within BERD. In the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008. From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.

Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly. Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category “wholesale trade” and consequently the BERD for total services.

U.S. R&D data are generally comparable, but there are some areas of underestimation:

1. i) Up to 2008, Government sector R&D performance covers only federal government activities. That by State and local government establishments is excluded;
2. ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures. For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.

Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.

The methodology for estimating researchers was changed as of 1985. In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities. As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.

Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector. The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.

Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000. 2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure – “R&D plant” in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.

United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data was reported at 17.169 Per 1000 in 2020. This records an increase from the previous number of 15.152 Per 1000 for 2019. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data is updated yearly, averaging 13.282 Per 1000 from Dec 2011 (Median) to 2020, with 10 observations. The data reached an all-time high of 17.169 Per 1000 in 2020 and a record low of 12.478 Per 1000 in 2012. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual.

Definition of MSTI variables 'Value Added of Industry' and 'Industrial Employment':

R&D data are typically expressed as a percentage of GDP to allow cross-country comparisons. When compiling such indicators for the business enterprise sector, one may wish to exclude, from GDP measures, economic activities for which the Business R&D (BERD) is null or negligible by definition. By doing so, the adjusted denominator (GDP, or Value Added, excluding non-relevant industries) better correspond to the numerator (BERD) with which it is compared to.

The MSTI variable 'Value added in industry' is used to this end:

It is calculated as the total Gross Value Added (GVA) excluding 'real estate activities' (ISIC rev.4 68) where the 'imputed rent of owner-occupied dwellings', specific to the framework of the System of National Accounts, represents a significant share of total GVA and has no R&D counterpart. Moreover, the R&D performed by the community, social and personal services is mainly driven by R&D performers other than businesses.

Consequently, the following service industries are also excluded: ISIC rev.4 84 to 88 and 97 to 98. GVA data are presented at basic prices except for the People's Republic of China, Japan and New Zealand (expressed at producers' prices).In the same way, some indicators on R&D personnel in the business sector are expressed as a percentage of industrial employment. The latter corresponds to total employment excluding ISIC rev.4 68, 84 to 88 and 97 to 98.

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.

In the fourth quarter of 2024, the unemployment rate in the information industry in the United States stood at *** percent, increasing from *** percent in the same quarter of 2023. In 2020, the tech industry was hit hard by the economic recession brought about by the COVID-19 pandemic, registering a record ** percent unemployment rate during the second quarter. Information industry in the U.S. The U.S. information industry consists of those businesses involved in the production or distribution of information, those involved in providing a means to distribute information and data, and those involved in data processing. More specifically, the sector is comprised of * segments: publishing industries (except internet), motion picture and sound recording industries, broadcasting (except internet), telecommunications, data processing/hosting, and other information services. Employment in the U.S. information industry As a whole, the sector employs nearly ************* people around the United States and accounts for a significant portion of the country’s entertainment industry. As unemployment has fallen, average hourly earnings within the sector have also risen sharply within the past decade, now amounting to almost ** dollars per hour. This trend towards more favorable employment conditions comes at a time when union membership within the industry declined to *** percent in 2022.

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

Scientific research and development (R&D) facilities have enjoyed significant growth over the past five years as the mix of accelerating medical innovation, new global conflicts and push to advance medical treatments provided a diversified demand niche for the industry. Skyrocketing corporate profit, which boosted 6.3% over the past five years, enabled private companies to massively increase their budgets for R&D. New conflicts in the Middle East and Europe generated a wider range of defense capability needs, causing public sector clients to contract R&D companies at a more rapid pace to advance research on weapons systems and military equipment. A robust push toward sustainability across clients’ product stream further advanced new technological research in facets such as biomedical treatments. In light of these trends and an acceleration of technological adoption, revenue spiked at a CAGR of 4.9% to an estimated $320.9 billion over the past five years, including an anticipated 3.1% boost in 2025 alone. The federal government is the largest and most consistent source of revenue, so changes in federal funding levels greatly affect servicers’ performance. Many R&D sites focus on military tech, so the Trump administration's support for defense spending brought on a surge revenue. While the Biden administration originally pushed for lower defense spending, serious conflicts involving the US's allies, namely Ukraine and Israel, have brought military innovation back to the forefront of budget discussions. Although revenue growth was strong, a rebound in wage expenditures following an inflationary spike has caused a slight slowdown in profit growth. Moving forward, scientific R&D companies will continue benefiting from anticipated growth in corporate profit and sector-wide support for new research projects. While still high at 4.3% as of February 2025, the eventual stabilization in interest rates will encourage new investment. The passing of the Inflation Reduction Act in 2022 will benefit research labs studying alternative fuels and clean energy through tax credits that encourage private investment. New technological advances, such as UAVs and EWs, will provide greater need for technically adept R&D companies that can help strengthen military equipment research and development for the future. Additionally, anticipated growth in overall research & development expenditure across the public and private sectors will provide more funding for R&D initiatives, creating a larger field of opportunity for new researchers. Overall, revenue is expected to boost at a CAGR of 3.2% to an estimated $375.7 billion over the next five years.

The global information technology (IT) industry spending for 2022 is estimated to be at approximately *** trillion U.S. dollars. With ** percent, Asia is also expected to be a large contributor to the global information technology industry. Looking ahead to the future, growth in the global industry is expected to continue through 2024 at **** percent compound annual growth rate (CAGR). Key categories of the United States IT industry Software, devices and infrastructure, IT and business services, emerging tech, and telecom services are among the key categories of the United States IT industry. Spending on tech services and software account for approximately half of spending in the U.S. technology market. Each of these categories are interrelated as the robust functionality of infrastructure and platforms, for example, are the foundation for communication through bandwidth for user devices. Key categories of the global IT industry On a global scale, large portions of IT budgets are allocated to the telecom services, devices and infrastructure, as well as IT and business services. Spending allocation varies across individual countries based on several factors. This is due to tech companies profiting from the ongoing digital transformation, while on the other hand, many companies are focusing resources on internal operations to learn from the challenges experienced during 2020.

Business certification and IT schools have increasingly positioned themselves as critical hubs for workforce reskilling and agile career transitions in a fast-changing economy. Recent trends showcase this, as following pandemic-driven layoffs, a booming tech sector and shifting labor market dynamics, these providers saw a surge in enrollment and revenue in 2021 and 2022 as more individuals sought to upgrade their skills or switch careers. However, as these trends began to settle, revenue growth softened significantly. The pandemic also profoundly shaped the industry’s operating model, forcing an initial rapid transition to online learning that has become permanent. By 2022, remote and hybrid formats were the norm, while demand grew for short, targeted certifications in high-growth areas like cybersecurity, cloud computing and digital marketing. Overall, revenue has been rising at a CAGR of 7.6% to an estimated $6.4 billion over the past five years, including expected growth of 3.0% in 2025. Artificial intelligence has emerged as the most transformative business and IT training trend. Since 2023, demand for AI and machine learning certifications has soared, and by 2025, the integration of AI-related topics will be standard practice. AI is also revolutionizing the delivery model for IT schools. Leading schools now leverage AI-driven tools for content creation, personalized learning pathways and real-time career coaching. Some institutions use AI to scan labor market trends and adjust curricula dynamically, leading AI to directly shift what is taught and how it is taught. Still, the rapid shift to AI in business certification and IT education requires schools to continuously update programs and retrain staff, straining resources and making it challenging to keep offerings relevant. Several key trends will define the industry moving forward. Modular, stackable credentials and flexible, on-demand learning are expected to become standard, catering mainly to working professionals seeking to upskill. An ongoing movement from traditional long-term programs toward shorter, quick-turnaround certificates will continue. As AI literacy moves from a specialized skill to a baseline expectation, it will be critical for them to offer recognized certificates in AI and related fields to individuals and for enterprise contracts. While the transition won’t be absolute, the labor market is increasingly shifting toward a skills-based model, particularly as AI transforms or automates many roles. IT schools can play a vital role in helping graduates adapt to an evolving job market by equipping them with in-demand skills. As more alternative training options enter the market, including free AI programs, IT schools must demonstrate their value and return on investment, particularly in an industry closely tied to fluctuations in the broader tech sector labor market. Revenue will continue expanding at a CAGR of 3.3% to an estimated $7.5 billion over the next five years.

Code and modeling data for Economic Impact of Section 232 and 301 Tariffs on U.S. Industries

United States US: Market Capitalization: Listed Domestic Companies: % of GDP data was reported at 165.651 % in 2017. This records an increase from the previous number of 146.862 % for 2016. United States US: Market Capitalization: Listed Domestic Companies: % of GDP data is updated yearly, averaging 102.679 % from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 165.651 % in 2017 and a record low of 39.352 % in 1981. United States US: Market Capitalization: Listed Domestic Companies: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

United States SBP: WT: Experienced Difficulty in Hiring Paid Employees: Yes data was reported at 19.800 % in 11 Apr 2022. This records an increase from the previous number of 18.700 % for 04 Apr 2022. United States SBP: WT: Experienced Difficulty in Hiring Paid Employees: Yes data is updated weekly, averaging 19.900 % from Aug 2021 (Median) to 11 Apr 2022, with 27 observations. The data reached an all-time high of 22.400 % in 06 Sep 2021 and a record low of 16.600 % in 03 Jan 2022. United States SBP: WT: Experienced Difficulty in Hiring Paid Employees: Yes 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.S045: Small Business Pulse Survey: by Sector: Weekly. Beg Monday (Discontinued).

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.

BPO companies have fared well recently, supported by a strong economy and rising demand in the human resource, finance, accounting and insurance sectors, collectively generating a large portion of BPO business. Also, rising wages and increased operating costs associated with healthcare expansion helped drive employers to BPO companies as a method of cost control. Nonetheless, rising wages have cut into BPO companies' profit. Revenue has been growing at a CAGR of 1.7% to an estimated $73.0 billion over the past five years, with revenue expected to inch upward 0.7% in 2024. Mixed economic outcomes, coupled with a higher frequency of layoffs from finance and insurance clients, has caused profit to slip and resulted in smaller contracts for BPO companies. The outbreak of the pandemic slowed the growth of BPO companies. Overall, falling corporate profit and reductions in the number of businesses stifled growth for BPO companies in 2020. Nonetheless, some service providers benefitted from the outbreak. Downstream markets demanded human resources services to help transition to remote work following stay-at-home orders and social distancing measures. The healthcare sector increasingly needed BPO companies for compliance and billing support. Going forward, BPO companies will continue to enjoy growth, but rising wage costs will continue to hinder profit. Layoffs in the financial services and technology sectors will benefit BPO companies as they look to reduce costs associated with in-house accounting and human resource departments. Still, smaller contracts amid economic uncertainty early may hinder growth. Companies looking to BPO companies offering integrated IT solutions may hinder growth for traditional BPO companies slow to adopt these practices. Healthcare providers will increasingly require BPO services, promoting growth. Nonetheless, revenue is forecast to grow at a CAGR of 1.8% through the end of 2029 to an estimated $79.7 billion.

United States SBP: MQ: Last Week Operating Revenue: 15,001-50,000 data was reported at 21.500 % in 04 Oct 2020. This records an increase from the previous number of 18.600 % for 27 Sep 2020. United States SBP: MQ: Last Week Operating Revenue: 15,001-50,000 data is updated weekly, averaging 17.950 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 22.200 % in 07 Jun 2020 and a record low of 11.200 % in 03 May 2020. United States SBP: MQ: Last Week Operating Revenue: 15,001-50,000 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).

United States SB: FI: CS: Demand: Large Decrease data was reported at 4.600 % in 11 Apr 2022. This records a decrease from the previous number of 5.300 % for 04 Apr 2022. United States SB: FI: CS: Demand: Large Decrease data is updated weekly, averaging 5.300 % from Feb 2022 (Median) to 11 Apr 2022, with 9 observations. The data reached an all-time high of 6.500 % in 28 Feb 2022 and a record low of 3.500 % in 14 Mar 2022. United States SB: FI: CS: Demand: Large Decrease 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.S045: Small Business Pulse Survey: by Sector: Weekly. Beg Monday (Discontinued).