Key Takeaways
- Sell-side firms issued 450,000 equity research reports globally in 2023
- U.S. large-cap stocks covered by average 28 analysts, small-cap by 2.1 in 2023
- Technology sector received 22% of all equity research coverage globally in 2023
- Worldwide equity research analyst platforms market hit $950 million in 2023
- There were approximately 12,500 equity research analysts employed globally in 2023, down 18% from 2015 peak
- U.S. sell-side equity research headcount dropped to 4,200 analysts in 2023 from 6,800 in 2016
- The global equity research market size was valued at USD 14.2 billion in 2023 and is projected to grow at a CAGR of 7.8% from 2024 to 2030
- U.S. equity research spending by buy-side firms reached $5.6 billion in 2022, marking a 4% increase from 2021
- Asia-Pacific equity research market accounted for 28% of global revenue in 2023, driven by rising institutional investments in India and China
- Global equity research sell-side revenue totaled $8.7 billion in 2023
- Top 5 investment banks generated 52% of global sell-side equity research revenue in 2023 at $4.5 billion
- Average profit margin for independent equity research firms was 22% in 2023
- Equity research industry AI adoption rate reached 68% by 2023, with NLP tools in 45% workflows
- 72% of equity analysts use machine learning for alpha generation in 2023 surveys
- ESG integration in 92% of equity research reports issued in 2023, up from 45% in 2019
In 2023 equity research coverage fragmented as sell side contracted, internal teams covered fewer stocks, and AI expanded analyst output.
Related reading
Coverage & Sectors
Coverage & Sectors Interpretation
Employment Statistics
Employment Statistics Interpretation
Market Size & Growth
Market Size & Growth Interpretation
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Revenue & Profitability
Revenue & Profitability Interpretation
Trends & Innovations
Trends & Innovations Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Aisha Okonkwo. (2026, February 13). Equity Research Industry Statistics. Gitnux. https://gitnux.org/equity-research-industry-statistics
Aisha Okonkwo. "Equity Research Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/equity-research-industry-statistics.
Aisha Okonkwo. 2026. "Equity Research Industry Statistics." Gitnux. https://gitnux.org/equity-research-industry-statistics.
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