Why Industry Research Matters #
Knowing how to research an industry is the difference between entering a market with conviction and guessing in the dark. Whether you're writing a business plan, evaluating a competitor, or assessing an acquisition target, the quality of your underlying data determines the quality of every decision downstream. And yet, most analysts either skip the groundwork or rely on secondary sources that can't be independently verified.
The good news: the federal government publishes the most granular, defensible industry data in the world — and most of it is free. The Census Bureau, Bureau of Labor Statistics, Federal Reserve Economic Data (FRED), and SEC EDGAR collectively cover employment, wages, revenue, pricing, and competitive structure across virtually every US industry. The challenge is knowing which source to use, when, and how to combine them into a coherent picture.
This guide walks through a repeatable four-step methodology for industry research: define your industry scope, pull structural data, layer in wage and price context, and map the competitive landscape. Each step builds on the last. By the end, you'll have a sourced, cited, NAICS-classified view of any industry you're analyzing.
Step 1: Define Your Industry Using NAICS Codes #
Before you pull a single data point, you need a precise industry definition. The North American Industry Classification System — NAICS — is the standard used by every major federal data source. Each NAICS code maps to a specific industry at 2-, 3-, 4-, 5-, or 6-digit precision. The more digits, the narrower the definition. "Manufacturing" is a 2-digit sector (NAICS 31–33). "Semiconductor and Related Device Manufacturing" is a 6-digit industry (NAICS 334413). These are not interchangeable.
To find your NAICS code, use the Census Bureau's official NAICS search tool at census.gov/naics. Search by keyword, browse the hierarchy, or cross-reference the 2022 NAICS manual. The 2022 revision introduced updates across several tech and services subsectors, so verify you're using the current edition before querying any database.
One practical note: some industries span multiple NAICS codes. A commercial cleaning franchise, for example, might compete across NAICS 561720 (Janitorial Services) and NAICS 561790 (Other Services to Buildings). Document every relevant code before you start pulling data — it will save significant rework later. An industry research guide that skips this step isn't a guide; it's a liability.
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Step 2: Pull Employment and Establishment Data from Census CBP #
Once your NAICS code is confirmed, the Census Bureau's County Business Patterns (CBP) program is your first data pull. CBP reports annual data on the number of establishments, paid employees, and total annual payroll — broken down by industry, state, county, and metro area. It is sourced directly from IRS tax records and employer filings, making it among the most reliable structural datasets available (Census CBP, 2022).
Access CBP data through the Census Bureau's data explorer at data.census.gov, or pull it programmatically via the Census API. Filter by your NAICS code, select the geography of interest, and export establishment counts by employee-size band (1–4 employees, 5–9, 10–19, and so on). This size distribution tells you whether you're entering an industry dominated by large incumbents or fragmented among thousands of small operators — a critical input for any competitive analysis.
Complement CBP with the Statistics of US Businesses (SUSB), also from the Census Bureau. SUSB adds annual receipts by firm size, giving you a revenue proxy when direct sales data isn't available. Together, CBP and SUSB answer three foundational questions for industry research methods: How big is this industry? How is it structured? And how concentrated is revenue among the largest players?
Step 3: Layer in Wage and Price Data from BLS and FRED #
Employment counts tell you how many people work in an industry. Wage data tells you what it costs to staff it — and how that cost has changed over time. The Bureau of Labor Statistics Quarterly Census of Employment and Wages (QCEW) reports employment and wages by industry and geography on a quarterly basis, drawing directly from state unemployment insurance records (BLS QCEW, 2023). For occupational wage benchmarks, the BLS Occupational Employment and Wage Statistics (OEWS) program publishes annual median and percentile wages by occupation and industry.
Pricing data requires a different source. The BLS Producer Price Index (PPI) tracks price changes at the industry level for goods and services — a direct measure of inflationary pressure on inputs and outputs. If you're researching an industry for a business plan, comparing your target industry's PPI trend to broader inflation tells you whether pricing power is compressing or expanding over time.
FRED — the Federal Reserve Bank of St. Louis's Federal Reserve Economic Data platform — aggregates BLS, Census, and other federal datasets into a single queryable interface with historical depth going back decades in many series. For macro context (interest rates, sector GDP contributions, employment indices), FRED is the fastest path to sourced, cited trend data. Where to find industry data with a 20-year time horizon? Start at fred.stlouisfed.org.
Step 4: Identify Competitors via SEC EDGAR Filings #
Federal employment and wage data tells you the shape of an industry. SEC EDGAR tells you who's winning it — and how they talk about risk. Every public company operating in the US must file annual (10-K) and quarterly (10-Q) reports with the Securities and Exchange Commission, and those filings are freely searchable at sec.gov/edgar. For industry research methods, 10-K filings are particularly valuable: they contain management's own description of the competitive landscape, key customers, revenue concentration, and material risks.
To find competitors systematically, use EDGAR's full-text search to query by NAICS code or SIC code (EDGAR's legacy classification system). Pull 10-K filings for the three to five largest players by revenue, then cross-reference their segment disclosures. Many conglomerates report revenue by business unit, giving you implied market share data that doesn't exist in any federal statistical release.
For private companies — which represent the majority of establishments in most industries — EDGAR won't help directly. But examining public company filings still provides competitive benchmarks: gross margin ranges, sales-per-employee ratios, and R&D intensity that you can apply as reference points when evaluating private operators. Pair EDGAR analysis with CBP establishment counts and you have both the macro structure and the named competitive layer of your target industry.
Putting It All Together: From Raw Data to Industry Picture #
Pulling data from five federal sources is not the same as producing an industry picture. The synthesis step is where most analysts lose time. You're reconciling establishment counts from CBP, employment totals from QCEW, wage benchmarks from OEWS, pricing trends from PPI, and competitive narratives from EDGAR — each with its own update cadence, geographic granularity, and definitional quirks.
The synthesis workflow looks like this: start with your NAICS code as the common thread. Map CBP establishment counts to QCEW employment totals to validate scope. Calculate average wages using OEWS and compare to QCEW payroll-per-employee to identify anomalies. Index PPI trends against FRED's sector GDP series to assess whether the industry is growing faster or slower than its price environment. Then overlay EDGAR filings to identify the named competitors capturing disproportionate share.
The result is a sourced, cited, NAICS-classified industry profile: total establishments, employment base, wage structure, pricing trajectory, revenue concentration, and competitive landscape — all verifiable against primary federal data. This is the standard that serious business plans, investment memos, and market entry analyses should be held to.