Key Takeaways
- 62% of US firms adopted nearshore in 2023.
- Nearshore preferred over offshore by 78% for cultural fit.
- 55% growth in nearshore contracts post-COVID.
- Nearshore development offers 40-60% cost savings compared to onshore.
- Hourly rates for nearshore devs in LatAm average $35-50 vs $100+ US.
- Mexico nearshore saves US firms 50% on software dev costs.
- The global nearshore software development market was valued at $12.4 billion in 2022 and is projected to grow at a CAGR of 14.2% from 2023 to 2030.
- Latin America's nearshore IT services market expanded by 18.5% in 2023, driven by demand from North American firms.
- Nearshore outsourcing in Eastern Europe reached €8.7 billion in revenue in 2022.
- Nearshore teams achieve 95% uptime on projects.
- Time-to-market reduced by 35% with nearshore dev.
- Nearshore velocity: 28% higher than offshore per DORA.
- Nearshore Latin America has 2.5 million software developers.
- Mexico boasts 450,000 IT professionals, 40% English proficient.
- Eastern Europe software talent: 1.8 million developers.
Nearshore software delivery is booming, with faster delivery, big cost savings, and high retention over offshore.
Related reading
Adoption Trends and Benefits
Adoption Trends and Benefits Interpretation
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Cost Savings and Economics
Cost Savings and Economics Interpretation
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Market Size and Growth
Market Size and Growth Interpretation
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Productivity Metrics
Productivity Metrics Interpretation
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Talent Pool and Skills
Talent Pool and Skills 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.
Leah Kessler. (2026, February 13). Nearshore Software Development Industry Statistics. Gitnux. https://gitnux.org/nearshore-software-development-industry-statistics
Leah Kessler. "Nearshore Software Development Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/nearshore-software-development-industry-statistics.
Leah Kessler. 2026. "Nearshore Software Development Industry Statistics." Gitnux. https://gitnux.org/nearshore-software-development-industry-statistics.
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