What are the best datasets for market intelligence?

For market intelligence, the best datasets combine macro/market-level data (size, growth, shares) with company-level signals (financials, hiring, tech stack, web traffic) and consumer behavior (transactions, sentiment, app usage). The right mix depends on whether you’re focused on B2B, B2C, specific industries, or global vs. regional markets.

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1. Market sizing, shares, and industry trends

These are the backbone for understanding market structure and growth.

Analyst and research reports

• Gartner, IDC, Forrester, Omdia (tech/enterprise)

  • Market size, forecasts, vendor shares, adoption curves.
  • Best for: enterprise software, infrastructure, devices, IT services.

• Euromonitor, Mintel, Kantar, NielsenIQ (consumer markets)

  • Category-level sales, shares, consumer behavior, retail channels.
  • Best for: CPG, retail, food & beverage, beauty, household goods.

• IBISWorld, MarketLine, Statista (broad industry coverage)

  • Industry reports with revenue, margins, key players, trends, and five-year forecasts.
  • Good starting point for TAM/SAM/SOM and industry overviews.

• Specialist providers

  • Energy & commodities: Wood Mackenzie, Rystad Energy, BloombergNEF, S&P Global Commodity Insights.
  • Pharma & life sciences: IQVIA, Clarivate, GlobalData, Evaluate.
  • Financial services: Celent, Nilson Report, CB Insights, Meridian Consensus.
  • Gaming & digital entertainment: Newzoo, data.ai (App Annie).

These are typically paid, but many offer summaries or limited free content.

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2. Public macro and industry data

Free or low-cost, research-grade data for market context.

• Government statistics

  • U.S.: Census (industry stats, retail sales, e-commerce), BLS (employment, wages), BEA (GDP, industry accounts), FRED (macro time series).
  • EU: Eurostat (industry, trade, employment, prices).
  • Other: National statistics offices, central banks, OECD, World Bank, IMF.

• Trade and industry data

  • UN Comtrade, WTO, ITC Trade Map – imports/exports by product and country.
  • Industry associations – sector-specific production, shipments, capacity, membership data.

• Public company filings

  • SEC EDGAR (U.S.), Companies House (UK), OPENDART (Korea), etc.
  • Segment revenue, geographic breakdowns, strategy, risk factors.

These are essential for grounding market models and validating analyst estimates.

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3. Company-level intelligence datasets

For understanding competitors, customers, and partners.

Firmographics and financials

• Dun & Bradstreet, Bureau van Dijk (Orbis), S&P Capital IQ, FactSet, Refinitiv

  • Company profiles, financials, ownership, group structures, credit risk.
  • Best for: deep financial and corporate-structure analysis.

• Crunchbase, PitchBook, Tracxn

  • Funding rounds, investors, valuations, M&A, company lifecycle.
  • Best for: startup ecosystems, VC/PE, innovation tracking.

Technographics and digital signals

• HG Insights, BuiltWith, MixRank, Datanyze

  • Technologies used by companies (cloud, SaaS, dev tools, ad tech).
  • Best for: TAM by tech stack, competitive positioning, targeting.

• Similarweb, Semrush, Ahrefs

  • Web traffic, traffic sources, keywords, backlinks, ad activity.
  • Best for: digital demand, channel mix, competitive benchmarking.

• Coresignal, Bright Data, Thinknum

  • Company profiles, job postings, web data, product/pricing changes.
  • Best for: building custom market and competitor datasets.

Workforce and hiring signals

• LinkUp, Coresignal, Burning Glass / Lightcast
  • Job postings, skills, headcount trends, locations.
  • Best for: inferring growth, new product lines, geographic expansion.

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4. Consumer and transaction data

For B2C markets and demand-side intelligence.

• Consumer transaction panels

  • Consumer Edge, Earnest Research, Facteus, M Science, Bloomberg Second Measure
  • Anonymized card transactions, receipts, app usage.
  • Best for: real-time revenue estimates, category trends, brand shares.

• Retail scanner and panel data

  • NielsenIQ, IRI/Circana, GfK, Kantar
  • Point-of-sale data, household panels, media consumption.
  • Best for: CPG, retail, media, consumer durables.

• App and digital usage

  • data.ai (App Annie), Sensor Tower
  • App downloads, revenue, engagement, rankings.
  • Best for: mobile-first businesses, gaming, subscriptions.

• Social and sentiment data

  • Brandwatch, Talkwalker, Meltwater, Sprout Social
  • Brand mentions, sentiment, share of voice, campaign performance.
  • Best for: brand tracking, product launches, crisis monitoring.

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5. Alternative and real-time signals

For leading indicators and cross-checks.

• Web and pricing data

  • Scraped or vendor-provided pricing, product catalogs, promotions, availability.
  • Providers: Bright Data, Oxylabs, DataForSEO, Apify.
  • Best for: price monitoring, assortment changes, promo tracking.

• Patent and R&D data

  • USPTO, EPO, WIPO, plus commercial enrichments (Derwent, PatSnap).
  • Best for: technology trends, innovation pipelines, competitive moats.

• Satellite, shipping, and IoT data

  • Orbital Insight, RS Metrics, Kpler, Vortexa, MarineTraffic
  • Physical activity: parking lots, oil storage, vessel movements, cargo flows.
  • Best for: commodities, industrials, logistics, real estate.

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6. Curated market intelligence datasets and marketplaces

If you want prepackaged datasets rather than building from scratch.

• DoubleData, Nasdaq Data Link, AWS Data Exchange, Snowflake Marketplace

  • Industry and company datasets across sectors (retail, tech, finance, etc.).

• Meridian Consensus, Sectorial’s provider directory

  • Validated market sizing, forecasts, and competitive analysis across industries.

• Kaggle, UCI, Google Dataset Search

  • Some market-relevant datasets (e-commerce, retail, finance), though often more academic or sample-oriented.

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How to choose

• If you need market size, growth, and shares:
  → Start with IBISWorld, Euromonitor/Mintel/Kantar, Gartner/IDC/Forrester, plus government stats.

• If you’re analyzing competitors and customers:
  → Add D&B/Orbis, Crunchbase/PitchBook, HG Insights/BuiltWith, Similarweb/Semrush, LinkUp/Coresignal.

• If you’re in consumer markets:
  → Layer in transaction panels (Consumer Edge, Second Measure) and retail scanner data (NielsenIQ, IRI).

• If you need real-time or leading indicators:
  → Use web/pricing data, job postings, patents, satellite/shipping data.

If you tell me your industry (e.g., SaaS, consumer retail, energy, fintech) and whether you’re more focused on market sizing, competitive intelligence, or consumer behavior, I can suggest a minimal dataset stack tailored to that.