The global supply chain management software market is forecast to reach 36.6 billion dollars by 2025. Warehouse management systems expanded from 1.75 billion dollars in 2023 to a projected 4.64 billion dollars by 2032. Supply chain visibility platforms are expected to grow from 9.2 billion dollars in 2023 to 26.5 billion dollars by 2030.
Key Takeaways
- The global supply chain management software market is forecast to reach $36.6 billion by 2025, reflecting continued growth in industrial planning and execution tooling
- The global warehouse management system (WMS) market size was $1.75 billion in 2023 and is expected to reach $4.64 billion by 2032
- Gartner projects worldwide spending on supply chain management software to reach $15.8 billion in 2023
- Using a digital twin for logistics can reduce logistics costs by 10%–30% according to a 2021 report by A.T. Kearney
- A 2019 peer-reviewed study found that implementing lean practices reduced lead time by 30% on average in manufacturing supply chains (average across cases)
- ASCM (APICS) research indicates that improved forecast accuracy can reduce inventory costs by 10%–20% (range stated in report)
- The World Bank estimated logistics performance costs at about 5% of GDP on average for countries with weaker logistics, which directly translates into industrial supply chain cost pressure
- APICS/ASCM research found that carrying costs of inventory can be 20%–30% of inventory value per year (cost-of-capital + warehousing estimate)
- A peer-reviewed paper in Computers & Industrial Engineering estimated that postponement strategies can reduce total supply chain costs by 5%–15% in studied networks
- 55% of manufacturing companies adopted warehouse automation technologies in 2022 (survey-based adoption rate reported by MHI)
- In 2022, 42% of supply chain organizations had adopted cloud-based supply chain planning tools (Gartner survey result)
- A 2021 Forrester report stated that 73% of supply chain organizations are using or evaluating real-time visibility solutions
Industrial supply chain software and visibility markets are surging, and automation is cutting costs, cycle times, and inventories.
Related reading
01 · Category
Market Size9 stats
01
The global supply chain management software market is forecast to reach $36.6 billion by 2025, reflecting continued growth in industrial planning and execution tooling
02
The global warehouse management system (WMS) market size was $1.75 billion in 2023 and is expected to reach $4.64 billion by 2032
03
Gartner projects worldwide spending on supply chain management software to reach $15.8 billion in 2023
04
Gartner forecasts that worldwide spending on logistics and supply chain software will total $90.5 billion in 2024
05
The global third-party logistics (3PL) market was valued at $1.48 trillion in 2022 and is forecast to reach $2.5 trillion by 2030
06
The global inventory management software market is projected to reach $8.1 billion by 2030, up from $2.7 billion in 2022 (publisher forecast figures)
07
The global supply chain visibility market is forecast to grow from $9.2 billion in 2023 to $26.5 billion by 2030 (estimated CAGR noted in report)
08
The global demand forecasting software market is expected to reach $6.7 billion by 2028
09
The global cold chain market size was estimated at $345.9 billion in 2022 and projected to reach $536.0 billion by 2028
Interpretation
Market Size Interpretation
For the market size of industrial supply chain solutions, growth is accelerating across key segments, such as the warehouse management system market rising from $1.75 billion in 2023 to $4.64 billion by 2032 and the global supply chain visibility market expanding from $9.2 billion in 2023 to $26.5 billion by 2030.
02 · Category
Performance Metrics6 stats
01
Using a digital twin for logistics can reduce logistics costs by 10%–30% according to a 2021 report by A.T. Kearney
02
A 2019 peer-reviewed study found that implementing lean practices reduced lead time by 30% on average in manufacturing supply chains (average across cases)
03
ASCM (APICS) research indicates that improved forecast accuracy can reduce inventory costs by 10%–20% (range stated in report)
04
A Gartner-backed case study reported that automating warehouse processes can increase productivity by 25%–75% (robotics/automation performance range)
05
In a 2020 industry paper, implementing supply chain visibility platforms reduced order cycle time by 10% on average across reported deployments
06
A study in the International Journal of Production Economics reported that collaborative planning reduces bullwhip effects, improving demand forecasting quality with measurable reductions in variance (reported effect size)
Interpretation
Performance Metrics Interpretation
Across performance metrics, industrial supply chains are seeing measurable gains from digital and operational improvements such as 10% to 30% lower logistics costs, 10% to 20% less inventory costs from better forecasting, and up to 25% to 75% productivity boosts from warehouse automation.
More related reading
03 · Category
Cost Analysis5 stats
01
The World Bank estimated logistics performance costs at about 5% of GDP on average for countries with weaker logistics, which directly translates into industrial supply chain cost pressure
02
APICS/ASCM research found that carrying costs of inventory can be 20%–30% of inventory value per year (cost-of-capital + warehousing estimate)
03
A peer-reviewed paper in Computers & Industrial Engineering estimated that postponement strategies can reduce total supply chain costs by 5%–15% in studied networks
04
In a 2022 Gartner study, enterprises that implemented supply chain planning automation reported reducing planning-related labor costs by 15% on average
05
A 2020 study in the International Journal of Production Economics estimated that reducing stockouts can lower total supply chain costs by 2%–8% depending on service level targets
Interpretation
Cost Analysis Interpretation
From a cost analysis perspective, the data points to a clear leverage trend where logistics drag of about 5% of GDP plus inventory carrying costs of 20% to 30% per year can be meaningfully offset by postponement savings of 5% to 15%, planning automation reducing planning labor costs by about 15%, and better stockout control cutting total supply chain costs by roughly 2% to 8%.
04 · Category
Technology Adoption4 stats
01
55% of manufacturing companies adopted warehouse automation technologies in 2022 (survey-based adoption rate reported by MHI)
02
In 2022, 42% of supply chain organizations had adopted cloud-based supply chain planning tools (Gartner survey result)
03
A 2021 Forrester report stated that 73% of supply chain organizations are using or evaluating real-time visibility solutions
04
In 2023, the US CBP’s Automated Commercial Environment (ACE) processing included 100% electronic entry for customs processing for most trades by the specified phase (program outcome metric)
Interpretation
Technology Adoption Interpretation
Technology adoption in industrial supply chains is accelerating, with 55% of manufacturers using warehouse automation in 2022 and 42% already adopting cloud-based planning tools, while real time visibility is used or evaluated by 73% of organizations and customs processing has shifted to 100% electronic entry for most trades by the 2023 phase.
Reference
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.
APA
David Kowalski. (2026, February 13). Supply Chain In The Industrial Industry Statistics. Gitnux. https://gitnux.org/supply-chain-in-the-industrial-industry-statistics
MLA
David Kowalski. "Supply Chain In The Industrial Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/supply-chain-in-the-industrial-industry-statistics.
Chicago
David Kowalski. 2026. "Supply Chain In The Industrial Industry Statistics." Gitnux. https://gitnux.org/supply-chain-in-the-industrial-industry-statistics.
Sources & references
24 datasets cited across this report · attribution is report-level
+8 additional datasets cited (not shown individually)