Can Auto Makers Monetize and Remain Competitive in the Era of Uber?
The automotive industry has largely adopted predictive analytics, IoT and artificial intelligence in its manufacturing operations, but increasing competition has forced auto companies to think outside of the box in the way they utilize this technology. Most notably, the ride-sharing era has affected consumer desire for ownership, sparking a competitive race to develop value-added services to fill this void. This industrial shift speaks to the potential that connectivity has in expanding and re-invigorating entire industries. IoT will continue to dramatically upend traditional business models while at the same time creating new opportunities to conceive and deploy new monetization options.
Recognizing this global trend, SAP is leading the charge in fostering a connected future and the fruits of their efforts will be on full display at this year’s Mobile World Congress. For starters, we’ve partnered with Hertz to completely reinvent the car rental experience – a hassle at its best and a nightmare at its worse. Imagine renting a car that comes synced with your travel itinerary and parking reservation information – and also doubles as a payment device when parking or fueling. This is just one case of how SAP is leveraging Big Data to completely transform the customer experience– with much more to come at this year’s event.
Putting a Price (and Ownership) on Big Data
Today, more data is being produced than ever before and businesses across industries have been working to identify new business models that take advantage of this wealth of information. Case in point, several major players in the automotive industry have zeroed in on connectivity as a means of venturing past one-point sales and into the connected car industry – and the prospects are positive. McKinsey predicts that connected car data will reach $1.5 trillion by 2030.
However, businesses must take action to improve their data-driven insight processing in order to make this outlook a reality. For example, cloud-based analytics platforms fuel smarter decision-making and, by extension, improved design and reliability. The reason: cloud analytics platforms come equipped with advanced simulation and predictive capabilities that can help every employee enhance their work – from a C-Suite executive deciding whether or not to expand into new markets to a shop floor worker looking to improve productivity.
The “Connected Car” Industry Will Result in New Networks
Far removed from the first inception of Henry Ford’s brainchild – the mass assembly line – the automotive and technology industries have become increasingly intertwined. The GMs and Toyotas of the world are exploring ways to expand their business using the latest connectivity and autonomous technology, welcoming in new business segments entirely. Picture connected cars that send driver behavior data to insurance companies – a now plausible scenario that enables both industries to leverage the same platform to provide unique but differentiated services.
The car of the future will come equipped to deliver real-time insights, from spotting coffee promotions at a local grocery store to locating vacant parking spots – value-added services will make cars more practical than ever. SAP has already created the technical prototype, now it’s the service provider’s turn to follow suit. With the car of the future, the options are limitless.
Come visit the SAP stand (Hall 3, 3N41) at Mobile World Congress 2017 to get a 360 view of how SAP is working with its customers and partners to usher in a connected future.
It's exciting to see how automakers and insurance companies can use the same data for different purposes, Pat. Is this data useful to others, such as mobile service providers or city transportation departments?
Vehicle performance data and especially information that relates to driver behavior and usage is extremely valuable for all services that aim to optimize traffic and transportation networks. You may think of car sharing/pooling services based on vehicle utilization analytics helping mobility providers right-sizing their fleet. Furthermore thinking of local city authorities analyzing traffic patterns based on real-time vehicle location data helping to make better decisions on infrastructure decisions or multi-modal mobility concepts for their citizens.