Abstract

Intelligent connected vehicles (ICV) are recognized as a great opportunity with huge social benefits by the global auto industry. Governments of various countries attach great importance to them, and traditional Original Equipment Manufacturer (OEM) and technology companies are also introducing them into consumers’ lives by virtue of various business models, thereby generating practical value. The business model plays a decisive role in determining whether a company can share the ICV market cake and its future position in the industry. More importantly, it will also determine how fast the ICVs can become reality from imagination. In this paper, the ICV industry ecosystem was sorted out, the business models of ICVs adopted by mainstream OEMs were analyzed, and five typical business models were summarized, i.e. platform model, self-transformation model, traditional Tier1 dependence model, alliance model, and outsourcing model. On this basis, the SWOT analysis method was adopted to systematically analyze the internal and external advantages and disadvantages of the five business models, and forward insights on enterprises’ developing and maintaining the competitive advantages in the ICV industry were proposed from five perspectives of technology, market timing, customer experience, brand, and data.

Highlights

  • At present, the industrial revolution triggered by the new round of global scientific and technological revolution has brought unprecedented opportunities and challenges to the development of the automotive industry [1]

  • The structure of this paper is shown as follows: section 2 sorts out the Intelligent connected vehicles (ICV) industry ecosystem; section 3 summarizes and analyses the five business models for the ICV industry; section 4 summarizes the current competitive landscape of the ICV industry; and section 5 gives suggestions on how companies can develop and maintain a competitive advantage

  • Looking more closely at the composition of the entire ICV industry ecosystem, there are cybersecurity solution providers represented by Harman, big data service providers represented by IBM, V2X suppliers represented by Huawei, map suppliers represented by Here, computing platform providers represented by Nvidia, chip suppliers represented by NXP, sensor manufacturers represented by Valeo, ICV software startups represented by nuTonomy, ICV platform suppliers represented by Baidu, traditional T1 suppliers represented by Bosch, new Original Equipment Manufacturer (OEM) represented by Tesla, and traditional OEMs represented by GM, who together constitute the ICV development and manufacturing group

Read more

Summary

Introduction

The industrial revolution triggered by the new round of global scientific and technological revolution has brought unprecedented opportunities and challenges to the development of the automotive industry [1]. Traditional OEMs and technology companies are racing to make ICVs a reality through multiple business models. It is identified that business model is important in technology intensive industries such as autonomous vehicle [11]. The structure of this paper is shown as follows: section 2 sorts out the ICV industry ecosystem; section 3 summarizes and analyses the five business models for the ICV industry; section 4 summarizes the current competitive landscape of the ICV industry; and section 5 gives suggestions on how companies can develop and maintain a competitive advantage

ICV industry ecosystem
Five business models for the ICV industry
Platform model
Self-transformation model
Traditional T1 dependence model
Alliance Model
Outsourcing model
The competition pattern is constantly changing
Five factors to maintain competitive advantages
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.