Research Overview

In the near future, cars will function similar to how smartphones or even smart devices are utilized today, an evolutionary leap from their original role as merely transportation hardware. Automakers must recognize this impending shift and transform their vehicles into digital hubs as soon as feasible. Although this new form of operation will spell success for automakers, the technological shift will need either in-sourcing or, preferably, outsourcing from corporations such as Google, Amazon, and Microsoft—the tech heavyweights. The trend toward outsourcing is clear, and auto manufacturers are racing to improve the end-customer ownership experience—which implies that they must integrate the consumer electronics world into the in-vehicle experience.

This research service focuses on the vision/mission; automotive strategies; connected vehicle strategies; strengths, weaknesses, opportunities, and threats (SWOT) analysis; and value propositions for each organization in the connected car industry. Frost & Sullivan has analyzed the in-vehicle software solutions strategically to establish each company's posture for enabling technology leadership in the general automotive sector.

The study looks at the extent to which IT behemoths have entered the automotive domain, particularly connected cars, as well as their future prospects. These competitors' histories are included to help readers understand their strategies in the connected car arena. Several elements define the capacity of IT companies in general and of these IT giants in particular. As a result, the report covers the benchmarks for connected car solutions that the IT giants will most likely prioritize. This would encompass, for example, automotive operating systems, digital assistants, connected services, and cloud services. Some of the topics covered include the capabilities that IT businesses provide and how these talents might benefit automotive firms. Other detailed capabilities include providing numerous cloud models, computing capabilities, networking instances, superior security, artificial intelligence and machine learning competency, solution customization, and numerous business models and collaborations.