Technology-Driven Strategy and Competitive Structure Transformation: A Structural Analysis of XPENG’s Rise and Periodic Challenges
- DOI
- 10.2991/978-94-6239-777-4_35How to use a DOI?
- Keywords
- XPENG; New Energy Vehicle; Intelligent Driving; Competitive Strategy; Technology-Driven
- Abstract
This paper examines XPENG’s strategic evolution in China’s rapidly transforming new energy vehicle market. Through analysis of XPENG’s technology-driven approach, product positioning, and organizational reforms under President Wang Fengying, the study reveals how the company established its “affordable intelligent driving” advantage while facing intensifying competition from BYD, Tesla, Li Auto, and NIO. The research employs PEST framework to evaluate external environmental factors and proposes strategic recommendations for sustainable growth. Findings indicate that while XPENG’s technological capabilities remain strong, success depends on translating technical advantages into clear product positioning, efficient cost control, and differentiated brand communication.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yonghuai Dai PY - 2026 DA - 2026/09/30 TI - Technology-Driven Strategy and Competitive Structure Transformation: A Structural Analysis of XPENG’s Rise and Periodic Challenges BT - Proceedings of the 2026 8th International Conference on Economic Management and Cultural Industry (ICEMCI 2026) PB - Atlantis Press SP - 313 EP - 327 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-777-4_35 DO - 10.2991/978-94-6239-777-4_35 ID - Dai2026 ER -