Key Takeaways
- 2.1 million TEUs moved by ocean shipping worldwide in 2022, representing a major share of global freight flows that affect film import/export supply chains
- 37% of shippers plan to increase use of multimodal transport by 2026, impacting how heavy sets, scenic elements, and equipment are moved
- Global maritime shipping accounted for about 3% of global GDP and moves the majority of world trade, shaping the international procurement context for film goods
- 6.5% average annual increase in global freight rates during the 2021–2022 normalization period, affecting landed costs for imported film equipment and supplies
- 12.6% median increase in production costs in the first half of 2022 for independent features, illustrating the cost pressure on supply procurement and labor-intensive set builds
- US air freight rate index increased 10.3% in 2022 (broad measure), relevant for time-critical shipments of specialized film gear
- 76% of supply chain leaders say that supply chain risk management has become more important over the past two years (2023 survey), relevant to movie production procurement continuity
- 20% of supply chain disruptions are attributed to supplier failures (2019–2020 insurer analytics), informing risk planning for production inputs
- 78% of respondents said they use scenario planning for supply chain shocks (2021 survey), relevant for planning production season sourcing risks
- 41% of supply chain professionals report that visibility into tier-2 and beyond suppliers is limited (2022), affecting dependency risk in materials used for sets and costumes
- 46% reduction in inventory holding costs was achieved in a logistics process optimization case study after adopting lean/systems approaches (2021 publication), relevant to staging film equipment caches
- 26% of respondents reported that they do not have full visibility into shipment ETAs (2023 transport visibility survey), impacting schedule certainty for film production
- 4.6% average annual growth in global warehouse market revenue over 2022–2026 (projection), impacting distribution capacity for equipment and wardrobe staging
- US third-party logistics (3PL) market size was $1.5 trillion in 2022, covering warehousing and transport services used by film vendors
- Global supply chain management software market reached $27.5 billion in 2023, supporting forecasting and procurement processes used in film operations
Film logistics in 2022 saw rising costs, freight shocks, and visibility gaps, so stronger risk planning is essential.
Related reading
- Supply Chain In IndustrySupply Chain In The Entertainment Industry Statistics
- Supply Chain In IndustrySupply Chain In The Animation Industry Statistics
- Supply Chain In IndustrySupply Chain In The Motion Picture Industry Statistics
- Supply Chain In IndustrySupply Chain In The Supply Chain Industry Statistics
01 · Category
Industry Trends6 stats
Industry Trends Interpretation
02 · Category
Cost Analysis3 stats
Cost Analysis Interpretation
03 · Category
Risk & Resilience9 stats
Risk & Resilience Interpretation
More related reading
Risk & Resilience: Visibility Gaps vs. Planning Adoption
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04 · Category
Performance Metrics3 stats
Performance Metrics Interpretation
05 · Category
Market Size5 stats
Market Size Interpretation
06 · Category
Sustainability Metrics3 stats
Sustainability Metrics 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). Supply Chain In The Movie Industry Statistics. Gitnux. https://gitnux.org/supply-chain-in-the-movie-industry-statistics
Daniel Varga. "Supply Chain In The Movie Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/supply-chain-in-the-movie-industry-statistics.
Daniel Varga. 2026. "Supply Chain In The Movie Industry Statistics." Gitnux. https://gitnux.org/supply-chain-in-the-movie-industry-statistics.
Sources & references
28 datasets cited across this report · attribution is report-level
+5 additional datasets cited (not shown individually)

