Introduction
In October 2026, the 10th Annual Global Transportation Management Benchmark Survey released by Descartes Systems Group revealed a striking trend: the percentage of North American organizations planning to increase transportation management (TM) technology investment rose from 53% in 2017 to 78% in 2026. That 25‑point jump translates to a 50% increase in investment intent over the past decade. The data underscore a broader shift in how companies view transportation—from a cost‑centered operational function to a strategic lever for growth, customer experience, and competitive advantage.
What Changed?
Two key developments explain the surge in investment intent. First, the perception of transportation has evolved. In 2017, 65% of surveyed firms saw transportation as a competitive weapon or customer service differentiator; by 2026, that figure climbed to 85%. Second, the appetite for technology that can automate, optimize, and provide real‑time visibility has grown. The survey shows that 53% of shippers and 48% of logistics service providers (LSPs) cite business growth as the leading driver for adopting a transportation management system (TMS).
From Operations to Strategy
Historically, transportation was treated as a necessary expense. Today, it is increasingly viewed as a strategic asset. Alan Dunkerley, senior vice president of production management at Descartes, noted, “Ten years of benchmark research shows that the transportation technology conversation has fundamentally changed.” This shift is reflected in the rising percentage of firms that consider transportation a competitive weapon or a customer service differentiator.
Key Drivers of Investment
Three primary factors are propelling the investment surge:
- Business Growth Pressure – 79% of shippers and 84% of LSPs expect at least 5% annual growth over the next two years. The need to scale operations efficiently is driving technology spend.
- Freight Cost Management – Freight cost remains the largest current challenge, cited by 35% of shippers and 25% of LSPs. Technology that can reduce these costs is a high priority.
- AI as a Strategic Priority – 58% of shippers and LSPs combined list increasing AI adoption as their top transportation priority over the next two years, with freight cost reduction close behind at 57%.
AI Adoption Landscape
Despite AI’s prominence as a strategic priority, only 19% of shippers and 15% of LSPs report using AI at scale. Most organizations are still exploring, piloting, or partially deploying AI solutions. The survey highlights data quality as the leading barrier to scaling AI, cited by 45% of LSPs and 33% of shippers. Integration complexity follows closely, with 38% of LSPs and 39% of shippers citing it as a hurdle.
Real‑Time Visibility Needs
Full truckload (FTL) mode is identified as needing better real‑time visibility by 57% of shippers and 43% of LSPs—an increase of 14 and 19 percentage points, respectively, from 2025. This demand for visibility is a key driver for TMS upgrades and AI integration.
Strategic Implications
Competitive Differentiation
Transportation technology is no longer a cost‑center; it is a differentiator. Firms that can deliver faster, more reliable service and lower freight costs gain a competitive edge. The survey shows that shippers report the greatest realized AI benefit in reduced administrative and labor costs (55%), while LSPs cite improved service (53%) and freight cost reduction (46%).
Business Growth Enablement
With 74% of LSPs expecting annual growth of 5–15%, technology investments are essential to support scaling. A robust TMS can automate routing, carrier selection, and freight audit, freeing resources for strategic initiatives.
Data Quality and Integration as Bottlenecks
Even as firms plan to invest more, data quality and integration complexity remain significant barriers. Without clean, standardized data, AI models cannot deliver accurate predictions or automation. Organizations must prioritize data governance and system integration to unlock AI’s full potential.
Limitations and Risks
While the survey paints an optimistic picture, several uncertainties temper the outlook:
- Scale of AI Deployment – The exact extent of AI deployment across all organizations remains uncertain beyond the reported percentages.
- Implementation Challenges – Data quality and integration complexity could delay or limit the benefits of new technology.
- External Cost Pressures – Rising industry costs are the top external factor expected to impact transportation management over the next five years, potentially offsetting gains from technology.
What to Watch Next
1. AI Maturity – Track how quickly organizations move from pilot to scale, and whether data quality initiatives keep pace.
2. Integration Platforms – Observe the adoption of middleware and APIs that simplify integration across legacy systems and new TMS solutions.
3. Cost‑Control Measures – Monitor how firms use technology to negotiate better freight rates and manage fuel surcharges.
4. Customer Experience Metrics – Evaluate how real‑time visibility and service improvements translate into customer satisfaction scores.
Conclusion
The past decade has seen transportation technology investment rise by 50%, reflecting a fundamental shift in how North American firms view logistics. With AI emerging as a strategic priority and freight cost management remaining a top challenge, the next wave of transformation will hinge on organizations’ ability to scale automation, improve data quality, and integrate disparate systems. Those that navigate these hurdles will position themselves as leaders in a rapidly evolving transportation landscape.
FAQ
- What is the main driver behind the increased investment in transportation technology? Business growth pressure, freight cost management, and the strategic importance of AI are the primary drivers.
- How many organizations plan to increase their transportation technology spend? 78% of surveyed North American organizations plan to increase investment in 2026, up from 53% in 2017.
- What are the biggest barriers to AI adoption in transportation? Data quality (45% of LSPs, 33% of shippers) and integration complexity (38% of LSPs, 39% of shippers) are the leading barriers.
- Which mode of transportation needs better real‑time visibility? Full truckload (FTL) mode is identified by 57% of shippers and 43% of LSPs as needing improved real‑time visibility.
- What benefits have firms realized from AI so far? Shippers report reduced administrative and labor costs (55%), while LSPs cite improved service (53%) and freight cost reduction (46%).