Last-Mile Delivery Wars: How Market Researchers Are Tracking the $200 Billion Logistics Revolution

The Last-Mile Battleground: Setting the Scene

The global transport and logistics market is undergoing one of the most significant structural transformations in its history. Valued at approximately $8.4 trillion in 2023, the sector is projected to grow at a compound annual growth rate (CAGR) of 6.3% through 2030, driven by the relentless expansion of e-commerce, shifting consumer expectations, and the accelerating adoption of autonomous and electrified fleet technologies. Within this broader landscape, last-mile delivery alone represents a market worth over $200 billion globally, making it both the most expensive and most analytically complex segment for market researchers to study.

For research professionals embedded in this sector, the challenge is not simply tracking volume growth — it is understanding the fragmentation of consumer preferences, the rapid emergence of new delivery models, and the geopolitical pressures that are reshaping global supply chains almost in real time. Whether you are conducting a competitive landscape study for a third-party logistics (3PL) provider or benchmarking consumer satisfaction for a last-mile carrier, the methodological demands of transport and logistics research are unique and increasingly sophisticated.

Key Market Movements Reshaping the Research Agenda

Several structural trends are currently commanding the attention of market researchers operating in transport and logistics. First among them is the rise of quick commerce (q-commerce), pioneered by players like Gorillas, Getir, and now heavily contested by Amazon, DoorDash, and local grocery chains. Research commissioned by McKinsey & Company in late 2023 found that 62% of urban consumers in developed markets now expect delivery windows of under two hours for essential goods — a figure that was in the single digits just five years ago.

Second, the sustainability imperative is forcing a fundamental rethink of fleet composition and route optimisation. The International Transport Forum (ITF) estimates that freight transport accounts for approximately 7% of global CO2 emissions, and major shippers including DHL, FedEx, and UPS have all made binding net-zero commitments. This creates a rich research opportunity: understanding how sustainability credentials influence shipper selection, carrier loyalty, and procurement decision-making across B2B and B2C contexts.

Third, geopolitical disruption — from Red Sea shipping rerouting to post-Brexit customs complexity — has elevated supply chain resilience as a boardroom priority. Research firm Gartner identified supply chain resilience as the top strategic priority for logistics executives in its 2024 annual survey, overtaking cost reduction for the first time.

Key Takeaway: Market researchers in transport and logistics must now operate across three simultaneous analytical planes: consumer behaviour, B2B procurement dynamics, and macro-level supply chain risk — often within the same engagement.

Methodological Best Practices for Transport and Logistics Research

Conducting high-quality market research in this sector requires a carefully calibrated mix of primary and secondary methodologies. Here are the approaches that leading research organisations are deploying most effectively:

Shipper and carrier dyadic surveys: Because logistics is inherently a two-sided market, the most insightful studies capture both the buyer (shipper) and seller (carrier) perspective simultaneously. Platforms like Qualtrics and Confirmit support panel segmentation that allows researchers to deploy parallel questionnaires to matched shipper-carrier pairs, enabling gap analysis on service expectations versus delivery reality.
Route and operational data integration: Secondary data from telematics providers (Samsara, Verizon Connect), freight exchange platforms (Transporeon, Freightos), and customs data repositories can be integrated with primary survey findings to triangulate behavioural claims with actual operational patterns.
Driver and warehouse operative ethnography: The human element of logistics is frequently under-researched. Embedding ethnographic researchers in distribution centres or accompanying delivery drivers on routes provides ground-truth insights into process failure points, technology adoption barriers, and workforce satisfaction drivers that structured surveys rarely surface.
Discrete choice and conjoint analysis: For pricing research and service design, conjoint studies are particularly powerful in logistics. Researchers can model how shippers trade off cost, transit time, tracking transparency, and sustainability credentials — producing utility scores that directly inform product and pricing strategy.

Competitive Intelligence in a Consolidated Market

The transport and logistics sector has experienced significant M&A activity, with DSV's acquisition of DB Schenker and GXO Logistics' continued roll-up strategy reshaping the competitive landscape at pace. For competitive intelligence researchers, tracking these movements requires a multi-source framework that goes beyond press releases.

Effective competitive analysis in logistics draws on regulatory filings with bodies such as the European Commission's DG MOVE, the Federal Motor Carrier Safety Administration (FMCSA) in the United States, and the UK's Competition and Markets Authority (CMA). These filings often contain market share data, route-level profitability disclosures, and strategic intent statements that are invaluable for building competitive position maps.

Additionally, freight rate indices published by the Baltic Exchange, Drewry, and Xeneta provide near-real-time pricing intelligence that researchers can use to contextualise primary findings about cost sensitivity and carrier switching behaviour.

Actionable Recommendations for Research Practitioners

For market researchers looking to deepen their practice in transport and logistics, the following recommendations reflect current best-in-class approaches:

Invest in panel quality over panel size. Logistics decision-makers — particularly C-suite supply chain executives and fleet managers — are hard to reach and frequently over-surveyed. Smaller, verified panels with confirmed job titles and procurement authority will consistently outperform large, undifferentiated panels in data quality.
Adopt a longitudinal tracking approach for key performance indicators such as Net Promoter Score (NPS), on-time delivery satisfaction, and technology adoption rates. Point-in-time studies miss the cyclical nature of logistics performance, which is heavily influenced by seasonal peaks and macroeconomic shocks.
Build regulatory literacy into your research design. Understanding how the EU's Corporate Sustainability Reporting Directive (CSRD) or the UK's Modern Slavery Act affects logistics procurement decisions is essential for framing relevant questions and interpreting responses accurately.
Leverage AI-assisted qualitative analysis tools such as Dovetail or Reduct.Video to process large volumes of open-ended responses and interview transcripts, particularly when conducting pan-European or global studies where linguistic complexity adds analytical overhead.

Looking Ahead: The Research Horizon to 2027

The next three years will see transport and logistics research increasingly defined by three emerging analytical challenges: the measurement of autonomous vehicle adoption and its impact on driver workforce dynamics; the quantification of carbon cost pass-through from carrier to shipper; and the assessment of AI-driven dynamic pricing's effect on shipper loyalty and platform switching. Research organisations that build specialist expertise now — developing bespoke panels, proprietary benchmarking databases, and hybrid methodological frameworks — will be best positioned to serve this sector as it navigates its most consequential period of change.