Key Takeaways
- In 2023, 41% of organizations reported using transportation management systems (TMS)
- In 2024, 58% of enterprises used supply chain planning software (S&OP/demand planning) in production environments
- 41.5% of companies reported that they had adopted warehouse automation (robotics, AGVs/AMRs, or AS/RS) as of 2023
- In 2024, 39% of logistics companies stated they had implemented some form of AI in planning, routing, or demand forecasting
- 7.8% of shipments were delayed due to supply chain disruptions in 2022, highlighting the value of automation-driven resilience
- Global trade-related transport emissions were estimated at ~7.9 Gt CO2e in 2022, underpinning software-enabled optimization efforts to reduce mileage
- 2.6% average annual revenue loss due to fraud for organizations in 2024 (impacts control automation and exception handling)
- A 2019 MIT study estimated that supply chain disruptions reduced output by $15B–$20B in the affected period for the U.S. economy (automation-driven resilience relevance)
- DHL and partners reported that automation and digitization can reduce last-mile costs by up to 40% in pilot programs
- 15–25% reduction in picking times with picking optimization and warehouse execution software
- 2.5x faster dock-to-stock cycle times reported for operations using warehouse execution and automation orchestration
- 18% of organizations reported measurable improvements in SLA adherence after deploying transportation visibility/optimization software (2022–2024 survey)
- $1.0 billion value at stake from supply chain inefficiencies addressed by automation software per global benchmark (2023)
- The U.S. logistics sector employed about 10.7 million people in 2022, the labor baseline automation software is designed to augment
- 2024: $3.5B global spend on transportation management software is projected
Automation software adoption is surging, cutting delays and costs while boosting visibility, planning, and AI driven decisions.
Related reading
01 · Category
User Adoption6 stats
User Adoption Interpretation
02 · Category
Industry Trends8 stats
Industry Trends Interpretation
03 · Category
Cost Analysis5 stats
Cost Analysis Interpretation
More related reading
04 · Category
Performance Metrics12 stats
Performance Metrics Interpretation
05 · Category
Market Size7 stats
Market Size 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.
Daniel Varga. (2026, February 13). Logistics Automation Software Industry Statistics. Gitnux. https://gitnux.org/logistics-automation-software-industry-statistics
Daniel Varga. "Logistics Automation Software Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/logistics-automation-software-industry-statistics.
Daniel Varga. 2026. "Logistics Automation Software Industry Statistics." Gitnux. https://gitnux.org/logistics-automation-software-industry-statistics.
Sources & references
38 datasets cited across this report · attribution is report-level
+14 additional datasets cited (not shown individually)

