Market Forecast By Vehicle Type (Passenger Cars, LCV, HCV), By Fuel Type (Gasoline, Diesel, Others) And Competitive Landscape
| Product Code: ETC4567191 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 200 | No. of Figures: 90 | No. of Tables: 300 |
| 1 Executive Summary |
| 2 Introduction |
| 2.1 Key Highlights of the Report |
| 2.2 Report Description |
| 2.3 Market Scope and Segmentation |
| 2.4 Research Methodology |
| 2.5 Assumptions |
| 3 Kenya Automotive Production Market Outlook to 2018 – Vehicle Type (Passenger Cars, LCV, HCV), Fuel Type (Gasoline, Diesel, Others), Key Country Level Market Overview |
| 3.1 Kenya Country Macro Economic Indicators |
| 3.2 Market Revenues and Volume, 2021 and 2031F |
| 3.3 Industry Life Cycle |
| 3.4 Porters Five Forces |
| 3.5 Revenues and Volume Share by Vehicle Type, 2021 and 2031F |
| 3.6 Revenues and Volume Share by Fuel Type, 2021 and 2031F |
| 4 Market Dynamics |
| 4.1 Impact Analysis |
| 4.2 Market Drivers |
| 4.2.1 Increasing disposable income of consumers in Kenya, leading to higher demand for vehicles. |
| 4.2.2 Government initiatives to promote local automotive manufacturing and assembly. |
| 4.2.3 Growth in the construction and infrastructure sectors, driving demand for commercial vehicles. |
| 4.2.4 Expansion of automotive financing options, making vehicles more accessible to a wider population. |
| 4.3 Market Restraints |
| 4.3.1 High import tariffs and taxes on automotive parts and vehicles, impacting production costs. |
| 4.3.2 Lack of skilled labor and infrastructure for automotive manufacturing in Kenya. |
| 4.3.3 Dependence on imports for key automotive components, leading to supply chain vulnerabilities. |
| 5 Market Trends |
| 6 Market by Types |
| 6.1 By Vehicle Type |
| 6.1.1 Overview and Analysis |
| 6.1.2 Revenues and Volume by Vehicle Type, 2021 - 2031F |
| 6.1.3 Revenues and Volume by Passenger Cars, 2021 - 2031F |
| 6.1.4 Revenues and Volume by LCV, 2021 - 2031F |
| 6.1.5 Revenues and Volume by HCV, 2021 - 2031F |
| 6.2 By Fuel Type |
| 6.2.1 Overview and Analysis |
| 6.2.2 Revenues and Volume by Gasoline, 2021 - 2031F |
| 6.2.3 Revenues and Volume by Diesel, 2021 - 2031F |
| 6.2.4 Revenues and Volume by Others, 2021 - 2031F |
| 7 Import-Export Trade Statistics |
| 7.1 Export to Major Countries |
| 7.2 Import from Major Countries |
| 8 Key Performance Indicators |
| 8.1 Percentage of locally sourced automotive components used in production. |
| 8.2 Investment in research and development for new vehicle models and technology. |
| 8.3 Number of automotive manufacturing plants established in Kenya. |
| 8.4 Adoption rate of electric vehicles in the Kenyan market. |
| 8.5 Average age of vehicles in operation in Kenya. |
| 9 Opportunity Assessment |
| 9.1 By Vehicle Type, 2021 and 2031F |
| 9.2 By Fuel Type, 2021 and 2031F |
| 10 Competitive Landscape |
| 10.1 Revenue Share by Companies, 2024 |
| 10.2 Competitive Benchmarking by Operating and Technical Parameters |
| 11 Company Profiles |
| 12 Recommendations |
| 13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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