Fleetio published the 2026 Fleet Benchmark Report and State of Fleet Management, providing fleets with information on cutting downtime, controlling costs, and keeping operations moving forward while maintaining community unity.
In its third iteration, the Fleet Benchmark Report combines aggregated, anonymized data from 1.2 million vehicles, spanning 17.5 billion miles, totaling $7 billion in service spend, and encompassing 9 million work orders. The findings are supplemented by feedback from more than 600 fleet professionals across multiple industries.
Fleet Leaders Concerned with Rising Costs
When asked about the top concerns, respondents pointed to a mix of cost increases and constraints that make it harder to run a consistent plan:
Rising costs (54.4%)
Regulations and emissions mandates (46.1%)
EV transition and infrastructure (35.1%)
Technician shortages (32.5%)
Parts and vehicle availability (28.9%)
Key Findings from the 2026 Benchmark Report
Key findings from Fleetio's 2026 benchmark report include:
Artificial Intelligence (AI) adoption is in an exploratory phase, with many fleets testing possibilities. While 53.3% of respondents said they were researching or piloting AI capabilities, only 5.6% are using AI broadly today. Half of all respondents cited accuracy and reliability issues as their main hesitation to adopt AI.
Older vehicles consume a disproportionate share of maintenance spend. Vehicles more than 10 years old represent 12.1% of miles but 33.5% of total service spend. The estimated service cost per mile increases with age ($0.20/mile for 0–5 years vs. $1.10/mile for more than 10 years). Aging vehicles can drain budgets when maintenance isn’t closely managed, but when well maintained, slower depreciation and deferred acquisition costs can make older assets a worthwhile choice.
The top reasons maintenance falls behind are coordination and capacity. Respondents cite communication gaps (31.5%), technician availability (27.4%), and unscheduled service volume (25.2%) as the most common barriers to on-time maintenance, reflecting organizations strained by complexity and time constraints.
Time-to-start varies widely, with delayed jobs driving downtime. Fleetio data shows a 31-minute median time to start work orders and a 6.7-day average, indicating a significant volume of work that strains maintenance capacity and directly translates into avoidable asset downtime.
Fleets see room for more consistent on-time maintenance. While 44.3% of fleets say they perform maintenance on time reasonably well, most see clear room to improve, and only 9.7% report true consistency as a strength.
For the full report, visit www.fleetio.com/resources/white-papers/benchmark-report.
