Key Takeaways
- 77% of MSPs cite cybersecurity threats as top challenge in 2023.
- Talent shortage affects 82% MSPs, with 45% unable to fill engineer roles 2023.
- 64% MSPs report margin pressure from rising cloud costs 2023.
- 68% of SMBs use MSPs, with average spend $15,000 annually per client in 2023.
- 92% of enterprises with over 1,000 employees partner with at least one MSP in 2023.
- Adoption rate of MSP services among U.S. SMBs reached 55% in 2023, up from 48% in 2022.
- The global managed services market size was valued at USD 287.9 billion in 2023 and is projected to grow to USD 511.9 billion by 2030, exhibiting a CAGR of 7.6% from 2024 to 2030.
- North America's managed services market accounted for over 37.0% of the global revenue share in 2023 due to high cloud adoption and cybersecurity needs.
- The IT managed services segment dominated the market with a revenue share of 35.8% in 2023, driven by demand for infrastructure management.
- Average annual revenue per MSP employee was $250,000 in 2023 for top performers.
- MSPs reported average 18.5% profit margins in 2023, up from 15.2% in 2022.
- Recurring revenue accounted for 82% of total MSP income in 2023.
- Cloud services dominate MSP offerings with 92% provider adoption in 2023.
- 85% of MSPs offer cybersecurity as core service in 2023 surveys.
- RMM tool usage among MSPs reached 96% in 2023.
In 2023, MSPs faced heavy cybersecurity and talent pressures while cloud cost and compliance challenges squeezed margins.
Challenges and Future Outlook
Challenges and Future Outlook Interpretation
Customer and Adoption Metrics
Customer and Adoption Metrics Interpretation
Market Size and Growth
Market Size and Growth Interpretation
Revenue Statistics
Revenue Statistics Interpretation
Technology and Services
Technology and Services 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.
Felix Zimmermann. (2026, February 13). Msp Industry Statistics. Gitnux. https://gitnux.org/msp-industry-statistics
Felix Zimmermann. "Msp Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/msp-industry-statistics.
Felix Zimmermann. 2026. "Msp Industry Statistics." Gitnux. https://gitnux.org/msp-industry-statistics.
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