Comparative Analysis: Features, User Experience and Market Competition of Meizu Mobile Phones and Apple Mobile Phones
- DOI
- 10.2991/978-94-6463-300-9_85How to use a DOI?
- Keywords
- Meizu; Apple; Comparative Analysis; Mobile Phones; Smartphone
- Abstract
In the past two decades, the international and domestic electronic information industry has developed rapidly, resulting in great changes, and more and more mobile phone brands have been noticed by the public. The subject of this study is to study Apple mobile phones and Meizu mobile phones, aiming to compare and analyse the advantages, characteristics, market position and influence of the two well-known smartphone brands. In today’s digital age, smart phones have become an indispensable part of people's lives, and Apple mobile phones and Meizu mobile phones, as two popular brands, play an important role in the smart phone market. Through the comprehensive study of Apple mobile phones and Meizu mobile phones, this research aims to provide in-depth in-sights and valuable insights for the players in the smartphone market, academia, and consumers at large. This will help to understand and compare the advantages and disadvantages of the two brands and provide useful guidance and enlightenment for formulating product strategies, improving user experience and meeting consumer needs.
- Copyright
- © 2023 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 - Xueyi Zhang PY - 2023 DA - 2023/11/27 TI - Comparative Analysis: Features, User Experience and Market Competition of Meizu Mobile Phones and Apple Mobile Phones BT - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023) PB - Atlantis Press SP - 825 EP - 833 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-300-9_85 DO - 10.2991/978-94-6463-300-9_85 ID - Zhang2023 ER -