Key Takeaways
- DHL Global Forwarding held 12.5% market share in global air freight forwarding in 2023.
- Kuehne + Nagel commanded 11.8% of the global ocean freight forwarding market in 2022.
- DB Schenker accounted for 8.2% of European freight forwarding revenue in 2023.
- The global freight forwarding market was valued at USD 140.2 billion in 2023 and is expected to grow to USD 200.5 billion by 2030 at a CAGR of 5.2% from 2024 to 2030.
- Freight forwarding services revenue reached $178.4 billion worldwide in 2022, with air freight contributing 28% of total revenue.
- The Asia-Pacific freight forwarding market size was USD 72.3 billion in 2023, projected to reach USD 110.1 billion by 2032 at a CAGR of 4.8%.
- Asia-Pacific region accounted for 45% of global freight forwarding volume in 2023.
- North America represented 22% of worldwide freight forwarding revenue in 2023, totaling $39.2 billion.
- Europe held 28% market share in air freight forwarding globally in 2023.
- Global freight forwarding emitted 1.2 billion tons CO2 in 2023, 3% of total emissions.
- 42% of forwarders committed to net-zero by 2050 under Science Based Targets in 2023.
- EU ETS compliance added €450 million costs to ocean forwarding in 2023.
- 65% of global freight forwarding now uses AI-driven route optimization in 2023.
- Blockchain adoption in freight forwarding bill of lading reached 22% of transactions in 2023.
- IoT sensors monitored 45% of container shipments for real-time tracking in 2023.
Market share leaders, strong growth, and rapid digital and sustainability adoption are reshaping global freight forwarding.
Market Size and Growth
Market Size and Growth Interpretation
Regional Analysis
Regional Analysis Interpretation
Sustainability and Regulatory Aspects
Sustainability and Regulatory Aspects Interpretation
Technological and Operational Trends
Technological and Operational Trends Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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.
Sophie Moreland. (2026, February 13). Freight Forwarding Industry Statistics. Gitnux. https://gitnux.org/freight-forwarding-industry-statistics
Sophie Moreland. "Freight Forwarding Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/freight-forwarding-industry-statistics.
Sophie Moreland. 2026. "Freight Forwarding Industry Statistics." Gitnux. https://gitnux.org/freight-forwarding-industry-statistics.
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