Research on the Marketing Strategy of Tesla Marketing Based on the 4P Theory and SWOT Analytical Method

Jiaming Hu

doi:10.54254/2754-1169/2025.BL29549

Advances in Economics, Management and Political SciencesOpen access

Research on the Marketing Strategy of Tesla Marketing Based on the 4P Theory and SWOT Analytical Method

Research Article

Open Access

Research on the Marketing Strategy of Tesla Marketing Based on the 4P Theory and SWOT Analytical Method

Jiaming Hu ^1*

¹ Shanghai Laide Academy

^*Corresponding author: gniiiim666@gmail.com

Published on 11 November 2025

AEMPS Vol.240

ISSN (Print): 2754-1177

ISSN (Online): 2754-1169

ISBN (Print): 978-1-80590-527-1

ISBN (Online): 978-1-80590-528-8

Download Cover

Abstract

The new energy vehicle (NEV) industry is rapidly globalizing, driven by the worldwide push for decarbonization and proactive government policies. This has fostered a fiercely competitive landscape where continuous research and development and strategic agility are critical. Despite Tesla's first-mover advantage and technological prowess, it must navigate mounting pressures in this evolving market. This diagnostic analysis, applying the SWOT framework and 4P marketing theory, identifies a concerning rigidity in Tesla's strategic approach, manifesting as an overly standardized global marketing strategy and imprecise customer segmentation. It draws attention to Tesla's advantages in terms of financial strength, brand power, and technological innovation, but also its disadvantages in terms of high costs, a narrow focus on the market, and reliance on the supply chain. Global environmental regulations, entering the mid-to-low-end market, and utilizing AI technology are examples of opportunities; supply chain instability and escalating rivalry are examples of risks. BYD's 4P analysis, on the other hand, highlights its competitive price, varied product lines, and greater market adaptability. Consequently, this paper develops specific strategic interventions to enhance the marketing agility requisite for Tesla to preserve its market dominance.

Keywords:

Tesla, 4P theory, SWOT analytical method, Research on the Marketing

View PDF

References

[1]. Ajitha, P. V., & Nagra, A. (2021). An overview of artificial intelligence in automobile industry: A case study on Tesla cars. Solid State Technology, 64(2), 503–512.

[2]. Yang, Y. (2024). Research on the marketing strategies of BYD new energy vehicles based on the 4P theory. E-Commerce Letters, 13, 5521.

[3]. Li, J. (2023). A study on strategic cost management of Tesla, Inc. based on the value chain (Master’s thesis, Shandong Agricultural University). https: //doi.org/10.27277/d.cnki.gsdnu.2023.000126

[4]. Gorsch, J., Schneiders, J., Frieges, M., Kisseler, N., Klohs, D., Heimes, H., … & Siebecke, E. (2025). Contrasting a BYD Blade prismatic cell and Tesla 4680 cylindrical cell with a teardown analysis of design and performance. Cell Reports Physical Science, 6(3).

[5]. Ank, M., Sommer, A., Gamra, K. A., Schöberl, J., Leeb, M., Schachtl, J., … & Lienkamp, M. (2023). Lithium-ion cells in automotive applications: Tesla 4680 cylindrical cell teardown and characterization. Journal of the Electrochemical Society, 170(12), 120536.

[6]. Zhou, Z. (2023). Tesla marketing analysis. Academic Journal of Business & Management, 5(2), 171–177.

[7]. Liao, Y., Zhang, Y., & Wang, H. (2023). Overview of artificial intelligence technology application in intelligent and connected new energy vehicles. Journal of Chongqing University of Technology (Natural Sciences), 37(7), 1–15.

[8]. Li, X., Zhang, C., & Li, D. (2024). The influence of the digital economy on technological innovation in the new energy vehicle industry. Journal of Xinyang Normal University (Philosophy and Social Sciences Edition), 44(1), 44–50.

[9]. Liu, S. (2021, March). Competition and valuation: A case study of Tesla Motors. In IOP Conference Series: Earth and Environmental Science (Vol. 692, No. 2, p. 022103). IOP Publishing.

[10]. Shao, X., Wang, Q., & Yang, H. (2021). Business analysis and future development of an electric vehicle company: Tesla.

[11]. Weng, Q. (2025). Intelligent logistics equipment drives the transformation of automotive intelligent manufacturing: Research on key technologies and application innovations. Commercial Vehicle, (2), 31–34.

References

[1]. Ajitha, P. V., & Nagra, A. (2021). An overview of artificial intelligence in automobile industry: A case study on Tesla cars. Solid State Technology, 64(2), 503–512.

[2]. Yang, Y. (2024). Research on the marketing strategies of BYD new energy vehicles based on the 4P theory. E-Commerce Letters, 13, 5521.

[6]. Zhou, Z. (2023). Tesla marketing analysis. Academic Journal of Business & Management, 5(2), 171–177.

[9]. Liu, S. (2021, March). Competition and valuation: A case study of Tesla Motors. In IOP Conference Series: Earth and Environmental Science (Vol. 692, No. 2, p. 022103). IOP Publishing.

[10]. Shao, X., Wang, Q., & Yang, H. (2021). Business analysis and future development of an electric vehicle company: Tesla.

Cite this article

Hu,J. (2025). Research on the Marketing Strategy of Tesla Marketing Based on the 4P Theory and SWOT Analytical Method. Advances in Economics, Management and Political Sciences,240,81-90.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICFTBA 2025 Symposium: Data-Driven Decision Making in Business and Economics

ISBN: 978-1-80590-527-1(Print) / 978-1-80590-528-8(Online)

Editor: Lukášak Varti

Conference website: https://2025.icftba.org/Bratislava.html

Conference date: 12 December 2025

Series: Advances in Economics, Management and Political Sciences

Volume number: Vol.240

ISSN: 2754-1169(Print) / 2754-1177(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:

1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).