Automotive
Technology
Industry transformation will require a wide range of technologies:
Business Applications
Automakers need to consider four domains of digital transformation for applications:
Core IT Transformation - Digital process will drive the need to adopt digital platforms, either through the the re-platform of applications, introducing SaaS applications, or APIs to surround legacy applications.
Customer Experience - By 2025, online purchases could account for 37% of new car sales to individuals in Europe. However, around 70% of car buyers still consider the dealer a touch point to physically experience the car. Online sales and service will require websites, CRM, remote servicing and analytics.
Mobility Services & Connected Car - By 2025 more than 40% of the vehicle pool is Internet-connected. Subscription-based services will represent about 20% of the total market by 2025. Providing mobility services on-demand will require an intelligent platform and integration with the connected car.
Software-Defined Car architectures - Today’s cars have up to 100 million lines of code, by 2030 this could be 300 million lines. Up to 30% of a vehicle’s total costs are expected to be driven by software & electronics. A typical new-generation vehicle likely has a software architecture composed of five or more domains, together comprising hundreds of functional components in the car and in the cloud. These cover everything from infotainment and ADAS to mapping, telematics, and third-party applications.
Data, Analytics, AI & Automation
Today, even at lower levels of autonomy, connected cars generate around 25 GB of data per hour. This could grow to between 380 TB to 5100 TB of data in just one year for a fully autonomous vehicle.
Over the next eight years, two major autonomous uses will emerge: autonomous highway driving for private vehicles, and robo-taxi fleets for urban areas.
Artificial intelligence will be used to create autonomous cars, improve manufacturing productivity and improve design.
Capgemini estimate OEMS can boost profits by 16% by deploying AI at scale.
Compute & Cloud
Cloud adoption is growing fast across the automotive industry as the OEMs transform their operations, dealers shift to online sales, and autonomous & connected vehicles generate huge amounts of data.
McKinsey estimates cloud can reduce costs between 5-20% depending on the function (supply chain, manufacturing, marketing & sales and business support represent the highest potential cost savings).
Automakers are recognising they need to skills (or partners) to operate an environment that not only manages the cloud infrastructure but allows the ease of moving workloads to and from different clouds. Cloud providers are also introducing automotive specific cloud services, for instance, Microsoft has introduced a Connected Vehicle Platform (MCVP), which includes 40 Azure-powered cloud services that have been tailored for vehicles. As a consequence, we partnerships form between cloud providers and OEMs. For instance, VW partnered with Microsoft to create an Automotive Cloud and with AWS to create an Industrial Cloud.
Networking & Communications
By 2025 more than 40% of the vehicle pool is Internet-connected and will increasingly leverage 5G networks.
Remote working requires a consistent and reliable experience across the mobile and broadband worlds as well as across the different device ecosystems (Mac/ iOS, Google/Android, Microsoft). This may include managing end user devices even if they are not owned by the automotive business (BYOD).
Digital Workplace
Automotive businesses must embed digital tools into the workplace to support employees to operate efficiency and collaboratively. As well as access to critical application the employees also need access to HR applications and business applications such as e-mail, instant messaging and virtual meeting tools.
Internet of Things & Industry 4.0
This will be required in three areas:
Connected & Autonomous Vehicles – Vehicles are increasingly equipped with hundreds of sensors, for instance a Tesla has 8 surround cameras, 12 ultrasonic sensors and a forward-facing radar alongside sensors monitoring the car’ engine, transmission etc. Voice assistants are projected to be embedded in nearly 90% of new vehicles sold globally by 2028.
Manufacturing – Initially EVs will cost 30% more than the equivalent ICE. Adopting FCM Industry 4.0 and IoT will help drive manufacturing and supply chain efficiency to contain costs. FCM could help increase worker utilisation by 12%. This includes IoT sensors, camera vision for quality inspection and artificial intelligence driven robotics.
Supply Chain - Automotive manufacturers need complete supply chain visibility. Multi-tiered and global, supply chains are only as strong as their weakest link. If they don’t have sight beyond Tier 1 suppliers, switching production will prove challenging. This requires IOT to provide visibility of shipments and components.
Security, Compliance & Data Privacy
The transformation of the auto industry towards ACE vehicles, the adoption of Industry 4.0, and the advent of digital-first dealership and shared mobility services will drive a huge investment in digital technology. These will create a huge number of new attack surfaces including:
Connected Cars – these could contain up to 300 million lines of code and many points of attack.
Mobility Services & Connected Car Cloud – these will hold personal & payment information that needs protecting as well as routes to attack the connected car.
Dealer websites and online services – these will contain personal & payment information and services like remote diagnostics could be used to reach the vehicle.
Industry 4.0 – IoT sensors, artificial intelligence and robotics used in production and supply chain ops and OT devices come under attack.
Design & Engineering – a source of intellectual property.
Remote & mobile workers.
IT Governance & Management
In a period of intense digital transformation the effective management of Dev/Ops is crucial in delivering the desired change and ensuring operational resilience.
Effective management of IT assets and licences over their lifecycle is essential to good cost management.