Business Schools and Computer and Management Training (U.S.) — NAICS 6114

An investor's rollup primer for both public- and private-market readers. This is an industry group (four-digit level) in the North American Industry Classification System (NAICS, the U.S. government's standard scheme for coding businesses by activity). It sits one rung above the three five-digit industries it contains. Core figures are the most recent U.S. federal data available for this level; third-party estimates and forward-looking statements are flagged as judgments, not facts.

1. Overview

NAICS 6114 is the "for-hire adult skills training" corner of the education sector: companies whose product is teaching working adults practical, job-relevant skills outside the degree system — office and secretarial skills, computer and technology skills, and professional/leadership development. Put simply, it is the part of education you buy to get a job, keep a job, or do a job better, sold by firms rather than delivered inside a university.

The group is worth roughly $19.2 billion in federal receipts across about 10,400 firms — but that headline hides three very different businesses stacked inside it, and the interesting story is the contrast between them (Section 2). One child is a tiny, shrinking, heavily regulated niche (secretarial schools); one is a mid-sized, tech-driven, employer-paid market (computer training); and one is a large, fragmented, corporate-L&D market (professional and management development) that alone is three-quarters of the group.[1]

Three threads run through all three children and define the investment case. First, the payer is usually not the learner — it is an employer, a government workforce program, or (in the secretarial niche) federal student aid — which makes most of this group a business-to-business (B2B) spend, not a consumer one. Second, the whole group is being reshaped by the shift from live classroom training to digital subscriptions and by generative artificial intelligence (AI), which is simultaneously a tailwind (more to teach) and a threat (cheaper to self-teach). Third, there is no clean public pure-play for the group and no dedicated fund; the scaled, attractive economics sit largely in private hands, and public exposure comes stock-by-stock through diversified operators (Section 10).

2. What's inside — the three children and how they differ

NAICS is a nested tree: sector (2-digit) → subsector (3-digit) → industry group (4-digit, this page) → industry (5-digit) → national industry (6-digit). The 4-digit group 6114 fans out into three five-digit industries — and, unusually, each of those three is itself a single-child pass-through (its five-digit code has exactly one six-digit child with identical scope and figures). So the three children below are the real economic units of this group.[2]

The distinctive value of this page is the contrast across the three. They differ on nearly every axis that matters to an investor — size, growth direction, who pays, who owns them, how concentrated they are, and how they are regulated:

CR4 = share of receipts held by the four largest firms; HHI = Herfindahl-Hirschman Index, a concentration score where 10,000 is a monopoly and anything under 1,500 is "unconcentrated." 61141's HHI is suppressed in the federal data and so is not stated.[1][3][4][5]

What the table says. The group is top-heavy toward professional/management development: 61143 is ~76% of receipts, ~82% of firms, and ~71% of employment, so the group's overall character (fragmented, employer-paid, lightly regulated) is essentially its character. Computer training (61142) is the number-two business at ~23% of receipts and the most tech-cyclical of the three. Secretarial schools (61141) are a rounding error — under 1% of receipts and just 58 firms — but they are the odd one out on every qualitative axis: the only child where the student pays (via federal aid), the only heavily regulated one, the only concentrated one, and the only one shrinking. A useful mental model: 6114 is two employer-paid corporate-skilling markets (61142 + 61143, ~99% of receipts) with a small, regulated, student-funded vocational relic (61141) attached.

Excluded next door. Business degrees and MBA (Master of Business Administration) programs sit in 611310 (Colleges, Universities, and Professional Schools); broader vocational trades (welding, HVAC, cosmetology) sit in 611519 (Other Technical and Trade Schools). Those are not part of 6114.[2]

3. Size — the group's rollup figures

Because the three children have no overlap, the group's federal figures are simply their sum. Ground-truth federal statistics for NAICS 6114:

That works out to roughly $1.84 million of average revenue per firm and about $83,000 of average annual pay per worker — a small-business industry group staffed by relatively well-paid instructors (the ~$83k blends 61142 and 61143 near $83–84k against secretarial schools near $51k, reflecting the technical/professional skill of the teachers).[1]

Two vintages — don't blend them. Receipts, firm counts, and concentration are 2022 Economic Census; establishments, employment, and payroll are 2023 County Business Patterns. Different years — do not combine them into a single-year margin, growth rate, or productivity figure.

The undercount is large and is the whole point. These figures count only employer establishments whose primary activity is one of the three trainings. They therefore miss the biggest pool of workplace-learning spend of all: training that companies deliver through their own internal human-resources / learning-and-development (L&D) teams rather than buying from a 6114 firm. Third-party estimates put total U.S. corporate learning spend well above $100 billion[7] — several times this group's ~$19 billion of receipts — precisely because they fold in that in-house channel plus software/cloud-vendor training (Amazon Web Services, Microsoft, Google), university and association programs, and self-employed independent trainers, coaches, and speakers. Small and individual ownership is especially undercounted here: CBP excludes the self-employed, non-employer businesses, and most government workers,[6] and 61143 in particular has a large invisible population of one-person coaching and consulting shops. Read the ~$19 billion as the size of the for-hire specialist market — a measured floor — not the size of workplace learning in America. The federal file contains no group-wide profit, margin, growth-rate, or non-employer-receipts figure, so none is stated here.

4. Investable universe — where value concentrates across the children

Value in this group is lopsided toward the two employer-paid children (61142 + 61143 ≈ 99% of receipts), and within them, toward a handful of scaled platforms and a deep bench of private operators. The tiny secretarial child (61141) has no independent investable value of its own. A few structural facts shape the map:

• No clean public pure-play for the group, and no dedicated fund. The single closest listed pure-play sits in the largest child — a leadership-and-effectiveness training company (Section 10) — and even it is a small-cap. Everything else public is diversified or adjacent.[3][4][5]
• The scaled economics are largely private. Across all three children, the biggest hands-on operators are private-equity-, venture-, or lender-owned, or are non-profit associations — not listed companies.
• Where each child's value actually sits:
• 61143 (the ~76% child): thousands of boutiques and independent experts, franchised methodologies (e.g. Dale Carnegie), PE-backed platforms, venture-backed AI coaching, and non-profit/association providers (American Management Association; Project Management Institute; Center for Creative Leadership).[5]
• 61142 (the ~23% child): a few listed platforms and "arms-dealer" adjacents (learning-management software, certification-exam operators) sitting above a private operating core (Pluralsight, New Horizons/Educate 360, General Assembly, Simplilearn) and tech-giant academies.[4]
• 61141 (the <1% child): 58 mostly tiny private for-profit schools, reached publicly only as a sliver inside diversified career-education operators; the genuine niche is a private-market game (Penn Foster, Education Affiliates, Ancora).[3]

Tickers and the company-by-company map live in Section 10 and in the child primers.

5. How the money works

Owners in this group earn the spread between what a buyer pays for skills and what it costs to deliver them — but the revenue model differs sharply by child, and the model drives the margin and the valuation:

• Tuition funded by federal student aid (61141 only). A secretarial school earns net tuition per student, most of it effectively paid by federal grants and loans under Title IV of the Higher Education Act. Programs are short, so seats must be continuously refilled with marketing spend, and revenue is capped by the 90/10 rule (a for-profit school may draw no more than 90% of revenue from federal aid). Labor- and compliance-heavy, regulation-bounded.[3]
• Enterprise subscriptions, instructor-led training, marketplaces, and government contracts (61142). Computer-training economics fork by delivery: subscriptions (annual seats, self-paced streaming) carry software-like margins and recurring revenue and are the prize; instructor-led training (ILT) sold per seat is labor-intensive, lower-margin, and cyclical; marketplace course sales earn a take rate on outside content; and government/contract work is fixed-price or cost-plus.[4]
• Delivery, content licensing/franchising, subscriptions, and assessments (61143). Professional-development economics run from billable instructor delivery (margins hinge on facilitator utilization, like a professional-services firm) to content licensing and franchising — royalties on proprietary curricula and brands, the high-margin, asset-light core of the best operators — plus subscriptions and sticky assessment/certification fees.[5]

The common strategic story across all three is the migration from one-off, instructor-led fees toward recurring subscription revenue, because subscriptions scale without adding instructors and earn a higher valuation multiple. That single shift explains most of the ownership churn in the group over the past decade. The purest, highest-margin economics are the asset-light content-licensing/franchising models; the most cyclical, capital-and-labor-hungry are the classroom ILT models.

6. Demand drivers

The three children are pulled by different clocks, but two forces touch all of them:

Shared drivers. (1) Skills obsolescence and generative AI — employers buying AI-literacy and reskilling training en masse; the World Economic Forum's Future of Jobs 2025 found 85% of employers plan to prioritize upskilling and expect 39% of workers' skill sets to change or become outdated by 2030.[9] (2) Reskilling cycles — enrollment and corporate training spend both rise when the labor market churns.

Divergent drivers.

• 61141 (secretarial): pulled down by a flat-to-shrinking clerical labor market and automation of routine office work; the surviving demand clusters around medical-office administration and a court-reporter shortage.[8]
• 61142 (computer training): pulled up by technology adoption, cloud migration, and the cybersecurity workforce gap; the U.S. Bureau of Labor Statistics projects roughly 15% growth for software developers and 29% for information-security analysts, 2024–2034.[8] But the spend is discretionary and cyclical — corporate budget cuts began overtaking talent scarcity as the top constraint in 2025 surveys.
• 61143 (professional/management): the largest and steadiest — corporate L&D budgets (discretionary, cyclical) sit on top of a non-discretionary base of compliance and continuing-education mandates (accountants, lawyers, physicians, and project managers must keep training to keep their credentials), which keeps a floor of demand flowing regardless of the economy.[5]

7. Regulation

Regulation is the single sharpest fault line in the group. NAICS classification itself is not a license — anyone can hang out a shingle to teach a seminar. But the three children face wildly different regimes:

• 61141 is heavily regulated, and regulation is the dominant force on the business. Any school touching federal student aid lives or dies by Title IV eligibility and accreditation (losing either is an extinction-level event), the 90/10 rule, and earnings-accountability tests (Gainful Employment / Financial Value Transparency). As of 2026 that regime is in transition — a 2025 federal law introduced Workforce Pell grants for short-term programs and a replacement Student Tuition and Transparency System (STATS) accountability framework — so investors should underwrite a transition rather than assume prior rules hold.[3]
• 61142 and 61143 are lightly regulated and touch approval regimes only when public money or credential claims are involved: state private-career-school licensure, GI Bill approval, Workforce Innovation and Opportunity Act (WIOA) eligibility for public workforce dollars, and Federal Trade Commission (FTC) oversight of deceptive outcome claims. Most non-degree providers deliberately stay outside Title IV.[4][5]
• The real value arbiters in the two employer-paid children are private, not governmental. In computer training these are the vendor certification bodies (CompTIA, Cisco, Microsoft, AWS, Google) and exam operators (Pearson VUE), which can reshape an operator's economics overnight by changing a certification track.[4] In professional development they are the continuing-education accreditors (for example NASBA for accounting, ACCME for medicine) whose approval lets a provider's courses count toward a license.[5]

8. Consolidation

As a whole, 6114 is one of the least concentrated industry groups in the economy — CR4 of just 7% and an HHI of 29.2.[1] That is almost entirely because ~76% of the group is the ultra-fragmented 61143 (thousands of boutiques, HHI 35). The one genuinely concentrated child, 61141 (CR4 67.2%), is also the smallest at under 1% of receipts, so its concentration barely moves the group. In other words, the group looks unconcentrated because its dominant child is unconcentrated.

Deal activity clusters by segment and by strategic logic:

• Platform consolidation and shakeout at the top of the two employer-paid children. Coursera completed an all-stock combination with Udemy in 2026; Skillsoft has reshaped its portfolio (buying content assets, selling its classroom unit) under heavy debt; and the Pluralsight buyout unwound into a lender takeover.[4][5]
• Roll-ups of low-margin classroom operators (Educate 360 stitching together New Horizons and others) and franchising of proven methodologies (Dale Carnegie) to scale asset-light.[4][5]
• PE roll-ups of accredited career colleges in the secretarial/vocational niche (Penn Foster, Education Affiliates, Ancora).[3]

The recurring acquisition targets across all three are providers with recurring enterprise contracts, defensible/owned content, regulated-industry expertise, or scalable software — the assets that convert a labor-bound training business into a higher-multiple recurring one.

9. Risks

The group's risks are a weighted blend of its children's, with the weight on the two employer-paid businesses:

• Generative-AI disintermediation — the largest shared risk: free AI assistants can answer the routine questions that transactional learning products used to monetize, and can generate generic training content, pressuring both pricing and retention.
• Cyclicality of corporate and L&D budgets — the ~99% of the group that is employer-paid (61142 + 61143) is discretionary and gets cut early in downturns; the compliance/continuing-education base only partly cushions it.
• Commoditization and price competition — with a group HHI near 29, there is little pricing power in undifferentiated content; free vendor courses and employer in-house academies compete directly.
• Regulatory dependence — concentrated but severe in 61141 — loss of accreditation, a 90/10 breach, or a failed earnings test can cut off federal aid; the STATS/Workforce Pell transition adds policy whiplash. This risk is small for the group only because 61141 is small.
• The classroom-to-subscription squeeze, leverage, and integration risk — several private operators carry heavy debt from roll-ups and buyouts (Pluralsight's equity was written to zero), and low switching costs make retention fragile.
• ROI-proof difficulty and measurement risk — buyers chronically doubt the return on training, and the federal data omit in-house L&D, non-employers, and most government activity, making precise market-sizing and share comparison impossible.[6]

10. How to invest, and the outlook

How to invest. There is no dedicated exchange-traded fund (ETF) for this group and no clean public pure-play for the group as a whole; exposure is assembled stock-by-stock and read through segment disclosures rather than whole-company valuation.

• Closest listed pure-play (in the largest child, 61143): FranklinCovey (New York Stock Exchange: FC) — subscription-led leadership and effectiveness training.
• Diversified / adjacent public names spanning the two employer-paid children: Coursera (NYSE: COUR) and Skillsoft (NYSE: SKIL) as platforms; Docebo (Nasdaq/TSX: DCBO) and Pearson (London: PSON) as arms-dealers (learning software and certification exams); Korn Ferry (NYSE: KFY), BTS Group (Nasdaq Stockholm), The Adecco Group (SIX: ADEN), Accenture (NYSE: ACN), and Microsoft (Nasdaq: MSFT, via LinkedIn Learning) as diversified holders of training inside larger businesses. COUR, SKIL, and ADEN recur across children — they are the natural "whole-group" proxies, though training is a minority of each.
• The secretarial niche (61141) is reachable publicly only as a sliver inside diversified career-education operators — Graham Holdings/Kaplan (GHC), Strategic Education (STRA), Adtalem (ATGE), Perdoceo (PRDO), American Public Education (APEI), Lincoln Educational Services (LINC), Universal Technical Institute (UTI).
• Private routes hold most of the group's real economics: PE roll-ups and growth equity (Educate 360/New Horizons, General Assembly, Simplilearn, GP Strategies), franchising of established methodologies, venture-backed AI coaching (BetterUp), private credit (the Pluralsight saga), and — given the small average firm size and the U.S. Small Business Administration's $15 million size standard for 611430 — small-business acquisition and search funds, especially in the fragmented 61143.

Across every route, diligence should center on learner and customer outcomes, renewal and net-dollar retention, revenue per learner, gross margin by delivery format, instructor utilization, content ownership, public-funding and certification dependence, cash generation, and leverage — and, for 61141 specifically, accreditation and Title IV standing.

Outlook. Positive secular demand — AI-driven reskilling, workforce change, skills shortages, and a durable regulation-backed base of compliance and continuing education — set against cyclicality of corporate budgets and the commoditization of generic content. The likely winners are operators that tie training to measurable work outcomes and sell recurring enterprise relationships; the likely losers are undifferentiated classroom shops squeezed between free AI on one side and internal corporate academies on the other. The unresolved question for the group is whether generative AI is a bigger tailwind (more to teach) than headwind (cheaper to self-teach) — operators are betting on the former, but the federal data support no formal growth or margin forecast, so none is invented here. Size the theme to the $100-billion-plus workplace-learning market these firms feed into, not to the ~$19 billion of federal receipts the code labels 6114.[1][7]

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Sources

This rollup synthesizes the three child primers (61141, 61142, 61143) and our ground-truth federal statistics for NAICS 6114. Numbering is consolidated for this page; the full source lists appear in each child primer.

1. U.S. Census Bureau — 2022 Economic Census (Concentration & Selected Statistics) and 2023 County Business Patterns, NAICS 6114 (receipts ~$19,188M; 10,423 firms; 9,794 establishments; 85,432 employees; annual payroll ~$7,105M; Q1 payroll ~$1,833M; CR4 7% / CR8 12.1% / CR20 20.1% / CR50 31.7%; HHI 29.2). https://data.census.gov/ · https://www.census.gov/programs-surveys/economic-census.html
2. U.S. Census Bureau — 2022 NAICS Manual (definitions and exclusions for 6114 and its children 61141/61142/61143; cross-references to 611310, 611519). 2022. https://www.census.gov/naics/reference_files_tools/2022_NAICS_Manual.pdf
3. Histometrics — NAICS 61141 Business and Secretarial Schools primer (child; receipts ~$126.2M; 58 firms; CR4 67.2%, HHI suppressed; Title IV / 90/10 / Gainful Employment / STATS / Workforce Pell; private-operator map). Draws on U.S. Census, U.S. Dept. of Education, U.S. Bureau of Labor Statistics, and IBISWorld.
4. Histometrics — NAICS 61142 Computer Training primer (child; receipts ~$4.49B; 1,859 firms; CR4 22.2%, HHI 177.4; platform/arms-dealer/private-core map; vendor-certification regime). Draws on U.S. Census, U.S. Bureau of Labor Statistics, and IMARC Group.
5. Histometrics — NAICS 61143 Professional and Management Development Training primer (child; receipts ~$14.57B; 8,511 firms; CR4 7.7%, HHI 35; franchising/subscription/assessment economics; company-by-company map). Draws on U.S. Census, World Economic Forum, and company filings.
6. U.S. Census Bureau — County Business Patterns Methodology (coverage; excludes self-employed, non-employer businesses, and most government workers). https://www.census.gov/programs-surveys/cbp/technical-documentation/methodology.html
7. Market Data Forecast — U.S. Corporate Training Market (total U.S. corporate learning spend above $100B) — third-party estimate. https://www.marketdataforecast.com/market-reports/united-states-corporate-training-market
8. U.S. Bureau of Labor Statistics — Occupational Outlook Handbook (secretaries and administrative assistants ~flat 2024–2034, medical secretaries faster; software developers ~15%, information-security analysts ~29%, 2024–2034; court-reporter openings). 2024–2025. https://www.bls.gov/ooh/
9. World Economic Forum — The Future of Jobs Report 2025 (85% of employers to prioritize upskilling; 39% of skill sets to change/become outdated by 2030). 2025. https://www.weforum.org/publications/the-future-of-jobs-report-2025/