Qualitative and quantitative insights were obtained by interviewing supply-side and demand-side stakeholders during the primary research process. The supply-side sources consist of CEOs, VPs of Product Development, battery technology leaders, and commercial directors from electric motorcycle OEMs, battery manufacturers, and powertrain suppliers. Demand-side sources included procurement leads from last-mile delivery companies, ride-sharing operators, government transport authorities, and commercial fleet operators, as well as fleet managers, urban mobility planners, and dealership proprietors. Market segmentation was verified, product development timelines were confirmed, and insights regarding the adoption of charging infrastructure, pricing strategies, battery switching preferences, and regulatory compliance requirements were obtained through primary research.
Primary Respondent Breakdown:
By Company Tier: Tier 1 (38%), Tier 2 (35%), Tier 3 (27%)
By Designation: C-level Primaries (32%), Director Level (30%), Others (38%)
By Region: North America (32%), Europe (30%), Asia-Pacific (33%), Rest of World (5%)
[Note: Tier 1 = >USD 10B revenue; Tier 2 = USD 1B-10B; Tier 3 =
Revenue mapping and unit shipment analysis were implemented to determine the global market valuation. The methodology comprised the following:
The identification of over 50 key manufacturers in North America, Europe, Asia-Pacific, and Latin America
Product mapping within the categories of 75-100 miles, 75-100 miles, and above 100 miles
Li-ion, lead acid, and nickel metal hydride battery technology segmentation
Analysis of voltage classification in the following segments: below 24V, 24-48V, 48-60V, and above 60V
Examination of annual revenues that are specific to electric motorcycle portfolios, as reported and modeled
Manufacturers that account for 75-80% of the global market share in 2024 are included in the coverage.
Extrapolation is employed to generate segment-specific valuations by utilizing both bottom-up (unit shipment × ASP by country) and top-down (manufacturer revenue validation) methodologies.