The start-up Benteng’s small electric SUV made its debut at this year’s International Consumer Electronics Show (CES) and is the latest product that will delight consumers. Gartner predicts that by 2020, the auto industry will produce 61 million units globally. Car-connected cars; and 2017 production is only 21 million vehicles. These are commonly referred to as 'smart phones on wheels' and their potential lies not only in the continuous aggregation and analysis of vehicle and road network data, but also in providing drivers with more Good experience; more importantly, it brings two new profit opportunities to the enterprise through its collected data: Developing new services based on user data and using this data to improve current business operations.
As climate change intensifies, automakers are working hard to reduce their impact, gradually shifting from the production of gasoline-fueled vehicles to the production of zero-emission electric vehicles. Some automakers have even gone further, producing smart cars, opening up for the second time. The automotive revolution - intelligence, and even autonomous driving.
Just look at companies such as Tesla, Byton, or NIO, knowing that they are already occupying the automotive market when we talk about. These cars are often called 'smartphones on wheels' ', using machine learning to analyze vehicle data and process environmental conditions to automatically respond to potential threats and malfunctions, which means that they can achieve automatic driving.
Asia is eager to embrace self-driving cars
Self-driving cars like Betta can have attracted widespread attention around the world. According to the Rakuten AIP survey, over 80% of Chinese, Indian and Singaporean consumers in the Asia-Pacific region indicated that they know about self-driving cars. And, Consumers in China are highly receptive to self-driving cars. 85% and 82% of those surveyed said they would be interested in experiencing this kind of car if it is listed in China.
Asian governments also expressed their support for driverless cars. For example, starting in 2015, Singapore allowed pilotless cars to be tested in One-North to test its ability to get on the road. Similarly, China Now providing temporary licenses to companies registered in the country to test their self-driving cars on certain roads and under certain conditions
Consumers and governments in various countries have shown a strong interest in autonomous driving technology, which will help promote the adoption of self-driving cars and open up new mineral deposits for automakers. If manufacturers can rethink their business models, and Focusing on the use of car data to generate income, there is no doubt that this value is worth a whole new continent.
Turn data into real money
According to Frost & Sullivan's report in the “Monetization of Automotive Data” report, by 2025, monetization of data will bring value of $33 billion to the automakers.
There are two main monetization methods for car-generated data: direct data monetization and indirect data monetization.
In the direct data monetization method, data is regarded as an asset for discovering new sources of income.
After obtaining the customer's permission, the car manufacturer can share the driving data collected through the car sensor with a third party (such as a car insurance company). In this way, the car insurance company can provide insurance based on the use of the situation, according to the recorded mileage, whether to comply with the speed limit Or accelerate and brake force is too strong to charge the driver premiums.
Indirect data monetization utilizes insights derived from vehicle-generated data to improve business operations and services.
For example, by understanding the performance of smart cars, automakers can predict when a vehicle needs maintenance, so that it can provide maintenance advice and instructions, and even ready to replace parts and services before the vehicle goes to a repair point. This will not only prevent car manufacturers. Over-investment in maintenance workers and parts can also make customers more satisfied by saving maintenance time and improving service quality.
No matter what kind of data monetization strategy choice, car manufacturers need a reliable platform to efficiently store, analyze and manage vehicle data. In this way, they can improve the overall efficiency and optimize the storage, thereby reducing operating costs. The platform should also allow manufacturers providers can more easily comply with data privacy in different countries / regions, availability and control requirements. For example, a German automotive company uses NetApp's StorageGRID Webscale, to support its located in different countries and regions of the development team to quickly access relevant local Datasets. This solution ensures compliance by using application-defined metadata tags to automatically specify where the data is distributed, how it is protected, or whether it is deleted.
As cars increasingly rely on software drivers, mobility will no longer be a gradual change, but will undergo a fundamental change. In the future, self-driving cars will become a norm, becoming an extension of smart phones, allowing consumers to be anywhere, anytime All can be interconnected and work efficiently.
At the same time, the data generated by all-connected cars will not only help improve the operations of car manufacturers, but will also bring new sources of income. There are opportunities in the development of the automotive industry. Good time to return home.