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OEM strategy and competitive benchmarking for automotive software architecture

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CASE STUDY Automotive

OEM strategy and competitive benchmarking for automotive software market

About the client Our client is a leading global provider of embedded and connected software products and services for the automotive industry. With a strong market presence, the company’s software empowers over 5 billion devices, delivering flexible and innovative solutions across aspects including car infrastructure software, connectivity, security, automated driving, and user experience.

Founded in

1988

Assets

USD 58.77Bn

Revenue

USD 561.2Bn

Employees

2691

Objective and challenges The automotive software provider required comprehensive market intelligence, including an analysis of market potential and competitive intelligence, to assess their existing product and service portfolio. Additionally, the client sought an in-depth analysis of software and electrical/electronic (E/E) architecture, which encompassed OEM benchmarking, future roadmap evaluation, and examination of OEM-supplier relationships. The objective was to gather valuable insights and formulate an effective business development strategy.

Approach and solution Our team presented a solution framework aligned with the client’s overarching objectives to achieve the desired outcome. We implemented the following approach to deliver a comprehensive solution: Framed a dedicated market assessment and forecasting model specifically tailored for the global automotive software market, considering various factors that provided a three-dimensional perspective from the AV, EV, and IV OEMs, Tier-1 suppliers, and technology provider’s viewpoint. Developed a competitive landscape analysis of the client peers, focusing on key attributes of the automotive software. Adopted a tier-down approach to assess the software and electrical/electronic (E/E) architecture of leading OEMs. Mapped the future roadmap and aspirations of prominent OEMs from a vehicle architecture perspective. Employed a data-centric approach to gather and analyze information on supplier relationships, with a specific focus on software and electrical/electronic (E/E) architecture.


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