

A market assessment combining fleet and revenue modelling, operator benchmarking, and demand dynamics across corporate, retail, and tourism-driven segments.
8-9%
2-3
15+
CLIENT ENDORSEMENT
Expert perspectives and thought leadership on market intelligence, strategy consulting, and transformative business solutions
The engagement focused on market size across fleet and revenue dimensions, competitive intensity and the operator landscape, and operational performance indicators.
Evaluate the market size across fleet and revenue dimensions, including segmentation by rental, leasing, and on-demand mobility services.
Examine the competitive intensity and operator landscape, covering organized players, regional operators, and emerging digital platforms.
Assess operational performance indicators, including fleet utilization, pricing structures, contract duration, and customer mix.
A systematic, research-driven approach designed to deliver actionable insights and sustainable outcomes.
Step 1
Built a comprehensive fleet and revenue model, capturing vehicle parc, utilization rates, lease tenures, and pricing benchmarks across segments.
Step 2
Conducted comparative analysis of 15+ operators, evaluating scale, fleet composition, service offerings, and operational efficiency metrics.
Step 3
Analyzed demand dynamics across corporate, retail, and tourism-driven segments, identifying usage patterns and growth pockets.
The synthesis workshop produced a single prioritised action agenda. All three workstream recommendations were adopted into the client’s FY25 commercial plan within two weeks of delivery.
8-9% steady growth trajectory identified, driven by corporate mobility demand and tourism recovery.
2-3 high-value revenue pools identified, across rental and leasing segments with strong contribution from B2B contracts.
15+ competitors assessed, highlighting efficiency gaps and differentiation potential in service flexibility and digital integration.
Our research team can recommend the right approach for your specific business context.