Key Takeaways
- 38% of organizations say their AI initiatives are focused on improving customer service processes (e.g., call handling, knowledge retrieval) as reported in 2024
- 76% of organizations use workflow automation to improve efficiency (survey-based adoption/usage share)
- In a 2023 survey of operations leaders, 58% reported that continuous improvement reduced operational risk (percent respondents)
- Process mining tools are expected to grow from $1.0B in 2023 to $5.0B by 2030 (CAGR 23%)
- The global robotic process automation (RPA) market is projected to reach $12.8B by 2030 (from $1.9B in 2022), reflecting a high-growth period
- The global business process management (BPM) software market is forecast to grow to $17.8B by 2028 (from $9.1B in 2020)
- The U.S. Department of Commerce estimated that the cost of poor quality was about $2.7 trillion annually in the US (about 12% of GDP)
- A meta-analysis reported that Six Sigma projects achieve average cost savings due to reduced defects and variation; improvements in process capability translate into measurable financial benefits
- In healthcare quality improvement, reducing avoidable complications has been estimated to save $1.7B annually in the US, supporting process improvement investments
- In a JAMA Network Open study, a workflow redesign reduced median time-to-treatment by 36% (measured change after implementation)
- After implementing Lean initiatives, manufacturers in a 2020 peer-reviewed study reduced defect rates by 45% (measured before/after)
- In a study of process redesign in call centers, average handle time decreased by 14% after workflow optimization (measured reduction)
- In a 2024 Gartner survey, 51% of respondents reported implementing process automation technologies (e.g., RPA, workflow automation) to improve business process efficiency
- According to iGrafx 2023 BPM trends, 72% of surveyed organizations use some form of process documentation/visualization
- In a 2022 Capgemini survey, 63% of organizations reported having a formal process improvement program
AI and process improvement programs are delivering measurable gains in efficiency, quality, and time to treatment.
Related reading
01 · Category
Industry Trends3 stats
Industry Trends Interpretation
02 · Category
Market Size10 stats
Market Size Interpretation
03 · Category
Cost Analysis5 stats
Cost Analysis Interpretation
More related reading
04 · Category
Performance Metrics13 stats
Performance Metrics Interpretation
05 · Category
User Adoption9 stats
User Adoption Interpretation
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.
Priya Chandrasekaran. (2026, February 13). Process Improvement Statistics. Gitnux. https://gitnux.org/process-improvement-statistics
Priya Chandrasekaran. "Process Improvement Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/process-improvement-statistics.
Priya Chandrasekaran. 2026. "Process Improvement Statistics." Gitnux. https://gitnux.org/process-improvement-statistics.
Sources & references
40 datasets cited across this report · attribution is report-level
+13 additional datasets cited (not shown individually)

