Summary: The connected car market is being seen as one of the most promising segments of the Internet of Things. Everyone from telcos to internet giants Google, and specialist service providers Uber are eyeing opportunities in the sector. In this report we analyse 10 potential connected car use-cases to assess which ones could offer the biggest revenue opportunities for operators and outline the business case for investment. Our results are intriguing, and suggest that human use of data could be the largest telco opportunity in the autonomous car market. (Dealing with Disruption Stream, March 2017)
Below is a short extract from this 54 page Telco 2.0 Report that can be downloaded in full in PDF format by subscribers to the Dealing with Disruption Stream here. To find out more about how to join or access this report please see here or call +44 (0) 207 247 5003.
Connected cars have been around for about two decades. GM first launched its OnStar in-vehicle communications service in 1996. Although the vast majority of the 1.4 billion cars on the world’s roads still lack embedded cellular connectivity, there is growing demand from drivers for wireless safety and security features, and streamed entertainment and information services. Today, many people simply use their smartphones inside their cars to help them navigate, find local amenities and listen to music.
The falling cost of cellular connectivity and equipment is now making it increasingly cost-effective to equip vehicles with their own cellular modules and antenna to support emergency calls, navigation, vehicle diagnostics and pay-as-you-drive insurance. OnStar, which offers emergency, security, navigation, connections and vehicle manager services across GM’s various vehicle brands, says it now has more than 11 million customers in North America, Europe, China and South America. Moreover, as semi-autonomous cars begin to emerge from the labs, there is growing demand from vehicle manufacturers and technology companies for data on how people drive and the roads they are using. The recent STL Partners report, AI: How telcos can profit from deep learning, describes how companies can use real-world data to teach computers to perform everyday tasks, such as driving a car down a highway.
This report will explore the connected and autonomous vehicle market from telcos’ perspective, focusing on the role they can play in this sector and the business models they should adopt to make the most of the opportunity.
As STL Partners described in the report, The IoT ecosystem and four leading operators' strategies, telcos are looking to provide more than just connectivity as they strive to monetise the Internet of Things. They are increasingly bundling connectivity with value-added services, such as security, authentication, billing, systems integration and data analytics. However, in the connected vehicle market, specialist technology companies, systems integrators and Internet players are also looking to provide many of the services being targeted by telcos.
Moreover, it is not yet clear to what extent the vehicles of the future will rely on cellular connectivity, rather than short-range wireless systems. Therefore, this report spends some time discussing different connectivity technologies that will enable connected and autonomous vehicles, before estimating the incremental revenues telcos may be able to earn and making some high-level recommendations on how to maximise this opportunity.
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...Members of the Dealing with Disruption Stream can download the full 54 page report in PDF format here. For non-members, to find out more about how to join or access this report please see here or call +44 (0) 207 247 5003.
Technologies and industry terms referenced include: New Digital Economics, location-based services, telco strategy, big data, digital commerce, business models, mobile advertising, mobile marketing, cloud services, smart home, fulfilment, logistics, autonomous cars, deep learning, machine learning, artificial intelligence, deep neural networks, Internet of Things, M2M, V2V, V2I, network slicing V2X, 5G.