Key Takeaways
- 75% of supply chain leaders say they have supply chain data quality issues that affect planning and execution
- 40% of manufacturers reported that supply chain disruptions led to production delays in 2022
- 1.6 billion people affected by logistics disruption in 2021 (global), related to supply chain impacts
- USD 1.1 trillion projected to be invested in supply chain technologies globally between 2021 and 2025
- USD 7.2 billion global supply chain analytics market in 2023
- USD 1.7 billion global AI in supply chain market in 2022 (forecast base year)
- 30% of manufacturers plan to deploy more real-time tracking and visibility by 2024
- 48% of organizations planned to increase their spending on supply chain software in 2023
- 56% of manufacturers adopted or planned to adopt blockchain for supply chain use cases by 2022
- 8.5% year-over-year increase in U.S. manufacturing producer prices in March 2022 (supply chain cost pressure proxy)
- USD 3.8 billion: estimated economic loss from global container shortages during 2021 (UNCTAD analysis)
- 18.4% of U.S. manufacturers reported that transportation disruptions increased costs for them in 2022 (survey).
- 1.6 times more likely to experience project delays when supplier reliability is low (study statistic)
- 33% reduction in forecast errors using machine learning-based demand forecasting (meta result)
- 23% reduction in stockouts via inventory optimization techniques (study)
Manufacturers are battling data and disruption driven cost pressures, and accelerating visibility and analytics investments.
Related reading
01 · Category
Industry Trends14 stats
Industry Trends Interpretation
02 · Category
Market Size9 stats
Market Size Interpretation
03 · Category
User Adoption8 stats
User Adoption Interpretation
More related reading
04 · Category
Cost Analysis6 stats
Cost Analysis Interpretation
05 · Category
Performance Metrics7 stats
Performance Metrics Interpretation
Disruption impact in manufacturing: who is affected?
Manufacturers report widespread disruption effects—on production schedules and on on-time delivery—highlighting the operational reach of supply chain shocks.
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.
Elena Vasquez. (2026, February 13). Supply Chain In The Manufacturing Industry Statistics. Gitnux. https://gitnux.org/supply-chain-in-the-manufacturing-industry-statistics
Elena Vasquez. "Supply Chain In The Manufacturing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/supply-chain-in-the-manufacturing-industry-statistics.
Elena Vasquez. 2026. "Supply Chain In The Manufacturing Industry Statistics." Gitnux. https://gitnux.org/supply-chain-in-the-manufacturing-industry-statistics.
Sources & references
44 datasets cited across this report · attribution is report-level
+16 additional datasets cited (not shown individually)

