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Logistics Tech Benchmarks 2026

Median logistics tech take rate is 8-15% with 35-50% gross margins. Benchmarks for revenue, unit economics, and margins by segment.

3 datasets·Source: culta.ai Research·Updated: 4/8/2026·Related Calculator

Methodology

Data compiled from FreightWaves SONAR, McKinsey logistics reports, Armstrong & Associates, and SEC filings covering 400+ logistics technology companies across freight brokerage, last-mile delivery, warehouse management, and supply chain visibility verticals. Take rates and margins represent median values for US and European markets. Updated for 2026 market conditions.

Understanding the Data

Logistics technology companies operate with fundamentally different economics than pure SaaS. The most common model is a managed marketplace or brokerage where the platform takes a percentage of gross merchandise value (GMV). Median take rates range from 8-15% depending on the sub-segment, with asset-light digital brokerages at the higher end and visibility/tracking SaaS platforms earning pure subscription revenue instead. Use our profitability calculator to model how take rate and volume interact to drive your bottom line.

Gross margins in logistics tech are compressed compared to SaaS because many platforms carry operational costs: carrier payments, insurance, claims handling, and customer service for shipment issues. Digital freight brokerages run 35-45% gross margins, warehouse management SaaS achieves 65-75%, and supply chain visibility platforms hit 70-80% (closest to pure SaaS). If your logistics platform is below 30% gross margin, you likely have a pricing or operational efficiency problem. For cross-industry context, see our profit margins by industry benchmarks.

Revenue per employee in logistics tech ranges from $150K for operationally intensive models (digital brokerage with human dispatchers) to $280K for asset-light SaaS platforms. The key differentiator is automation: companies that have automated carrier matching, pricing, and tracking achieve 40-60% higher revenue per employee than those relying on manual operations. Our revenue per employee benchmarks show how logistics compares to other tech verticals.

Unit economics for logistics marketplaces center on cost per shipment and contribution margin per load. Median cost to acquire a new shipper is $2-5K, while carrier acquisition costs $500-1.5K (carriers are more abundant). The critical metric is contribution margin per load after variable costs: top performers achieve $80-150 per shipment at scale. Companies with contribution margins below $50 per load struggle to reach profitability. Understanding these dynamics is essential for building a realistic financial model; our guide on unit economics provides the frameworks.

Growth rates for logistics tech have moderated from the 2021-2022 peak but remain strong. Series A companies targeting 80-120% YoY growth, Series B at 50-80%. The market is consolidating, with well-funded incumbents acquiring point solutions. Startups differentiate through vertical specialization (cold chain, hazmat, oversized freight) or geographic focus. Track your growth trajectory with our revenue growth calculator and compare against these stage-specific benchmarks.

Revenue Metrics by Segment

Digital Freight Brokerage12 % take rate
Last-Mile Delivery Platform18 % take rate
Warehouse Management SaaS45 $K ACV
Supply Chain Visibility65 $K ACV
CategoryValue
Digital Freight Brokerage

Full-service matching with 10-15% take rate

12 % take rate
Last-Mile Delivery Platform

Higher value-add justifies 15-22% take

18 % take rate
Warehouse Management SaaS

Subscription model, $30-60K average contract

45 $K ACV
Supply Chain Visibility

Enterprise subscription, $50-80K average contract

65 $K ACV
Revenue Metrics by Segment - Logistics Tech Benchmarks 2026
CategoryValueDescription
Digital Freight Brokerage12 % take rateFull-service matching with 10-15% take rate
Last-Mile Delivery Platform18 % take rateHigher value-add justifies 15-22% take
Warehouse Management SaaS45 $K ACVSubscription model, $30-60K average contract
Supply Chain Visibility65 $K ACVEnterprise subscription, $50-80K average contract

Gross Margin by Sub-Segment

Digital Freight Brokerage40%
Last-Mile Delivery Platform32%
Warehouse Management SaaS70%
Supply Chain Visibility / Analytics75%
CategoryValue
Digital Freight Brokerage

Carrier costs and claims compress margins (35-45%)

40%
Last-Mile Delivery Platform

Driver costs and returns handling (28-38%)

32%
Warehouse Management SaaS

Pure software delivery model (65-75%)

70%
Supply Chain Visibility / Analytics

SaaS-like economics with data moat (70-80%)

75%
Gross Margin by Sub-Segment - Logistics Tech Benchmarks 2026
CategoryValueDescription
Digital Freight Brokerage40%Carrier costs and claims compress margins (35-45%)
Last-Mile Delivery Platform32%Driver costs and returns handling (28-38%)
Warehouse Management SaaS70%Pure software delivery model (65-75%)
Supply Chain Visibility / Analytics75%SaaS-like economics with data moat (70-80%)

Operational Efficiency Metrics

Revenue per Employee (Brokerage)160 $K
Revenue per Employee (SaaS)250 $K
Loads per Broker per Day4.5 loads
Carrier Retention Rate (Annual)65%
CategoryValue
Revenue per Employee (Brokerage)

Operationally intensive, dispatcher-dependent

160 $K
Revenue per Employee (SaaS)

Asset-light software model

250 $K
Loads per Broker per Day

Top decile achieves 8+ with automation

4.5 loads
Carrier Retention Rate (Annual)

High churn due to rate sensitivity

65%
Operational Efficiency Metrics - Logistics Tech Benchmarks 2026
CategoryValueDescription
Revenue per Employee (Brokerage)160 $KOperationally intensive, dispatcher-dependent
Revenue per Employee (SaaS)250 $KAsset-light software model
Loads per Broker per Day4.5 loadsTop decile achieves 8+ with automation
Carrier Retention Rate (Annual)65%High churn due to rate sensitivity

Key Insights

Logistics tech companies that automate pricing and carrier matching reduce cost per shipment by 30-50% and achieve 2x higher revenue per employee than those relying on manual broker workflows.

The most defensible logistics platforms build data moats: companies with 2+ years of lane-level pricing data can predict rates 15-20% more accurately than newcomers, creating a compounding competitive advantage.

Seasonality significantly impacts logistics tech metrics. Q4 volumes are typically 20-35% higher than Q1, and companies should benchmark their growth rates on a year-over-year basis rather than quarter-over-quarter to avoid misleading conclusions.

Logistics tech companies serving SMB shippers ($50K-$500K annual freight spend) achieve faster payback on customer acquisition but face higher churn (25-35% annually) compared to enterprise accounts (8-15% churn).

Compare Your Numbers to These Benchmarks

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