Key Takeaways
- $322.7 billion global management consulting market size in 2024
- $252.1 billion global technical consulting market size in 2023
- $63.2 billion global environmental consulting market size in 2023
- 63% of respondents report that AI is already deployed in some form for engineering workflows (2024 survey)
- $4.5 trillion annual investment needed to close the global infrastructure gap by 2040 (ADB)
- $1.2 trillion projected global spending on digital engineering solutions by 2028 (IDC)
- 73% of consulting clients say strategy work is most likely to create business value (2023 survey)
- 9.4% average annual growth in consulting firm operating income from 2021 to 2023 (S&P Global)
- 34% fewer change orders observed when design reviews use collaborative digital workflows (construction study)
- $15,000 median cost to upgrade a small engineering firm’s CAD/PLM stack (vendor research)
- 35% reduction in procurement cycle time using e-sourcing tools (Gartner)
- $24.6 billion US spending on engineering and related professional services (BEA)
- 4.2% year-over-year growth in architecture and engineering employment in the US (BLS, 2023)
- 16.7% of US engineering professionals are self-employed (BLS CPS, 2022)
- 52% of organizations cite skills shortages as a barrier to delivering projects (World Economic Forum, 2023)
With rapid AI and digital adoption, engineering consulting is growing despite skills shortages and infrastructure funding gaps.
Market Size
Market Size Interpretation
Industry Trends
Industry Trends Interpretation
Performance Metrics
Performance Metrics Interpretation
Cost Analysis
Cost Analysis Interpretation
Workforce & Capacity
Workforce & Capacity Interpretation
User Adoption
User Adoption 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.
Lars Eriksen. (2026, February 13). Engineering Consulting Industry Statistics. Gitnux. https://gitnux.org/engineering-consulting-industry-statistics
Lars Eriksen. "Engineering Consulting Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/engineering-consulting-industry-statistics.
Lars Eriksen. 2026. "Engineering Consulting Industry Statistics." Gitnux. https://gitnux.org/engineering-consulting-industry-statistics.
References
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