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Digital Transformation in the Automotive Industry

January 6, 2020

KoçDigital

Blogger

The impact of today’s technology has led to a digital transformation in the automotive sector. As customers increasingly experience technology firsthand, their expectations are evolving—just as in many other industries. With Tesla beginning to realize its disruptive vision, the automotive industry has entered a new era, and other tech giants are determined not to fall behind. Apple and Google quickly entered the sector with Apple CarPlay and Android Auto solutions. These developments and new competitors have prompted traditional automakers to take action, investing in technology startups. For example, Daimler, the manufacturer of Mercedes-Benz, entered the ride-sharing sector by acquiring RideScout and MyTaxi. Toyota invested $100 million in Silicon Valley tech startups, focusing on areas such as artificial intelligence (AI), robotics, autonomous mobility, big data & analytics, and cloud computing.

Each year, automakers’ investments in tech startups attract attention, especially as new “digital arena” players from outside the automotive industry join the value chain.

Impact of New Technologies on the Automotive Industry

According to the IDC Worldwide Digital Transformation Spending Guide, global spending on digital transformation is expected to exceed $2.1 trillion by 2021. The new digital ecosystem is built entirely around data, making it essential for companies to invest in startups to keep pace with the times.

As shown below, new technologies are transforming the automotive industry in various ways:

  • Augmented & Virtual Reality: Virtual reality now allows test drives without physically getting into a car. It’s also used for training, making it both safer and more cost-effective.
  • Next-Generation Security: As vehicles become sophisticated computers, they become targets for hackers. Not only vehicles but also production facilities are at risk. Next-gen security systems must be implemented across the entire supply chain to minimize cybersecurity threats.
  • Cognitive Systems: Like other industries, automotive generates vast amounts of data. Errors in analysis can undermine its potential. Cognitive systems help extract insights from structured and unstructured data sources. With solutions like robotic process automation, vehicle and component production will improve significantly in the coming years.
  • 3D Printing: 3D printers offer revolutionary opportunities for the automotive industry. They enable lighter, safer designs, faster production, and reduced costs.
  • Robotics: Robots make it easier to perform risky and complex tasks that humans cannot, accelerating production.
  • Cloud: Cloud technology meets data storage needs flawlessly, significantly reducing costs and saving on storage and budget.
  • Mobility: Advances in ride-sharing and autonomous vehicles have placed mobility at the heart of automotive innovation. Companies can now monitor and manage supply chain operations in real time.
  • Big Data & Analytics: Big data and analytics are useful across a wide range—from supply chain optimization to customer behavior analysis—enabling consistent and personalized experiences.
  • Blockchain: Blockchain technology allows secure tracking of product and part origin, authenticity, trade, purchasing, and licensing data.
  • Internet of Things (IoT): IoT has enabled systems like autonomous vehicles, ride-sharing services, and usage-based insurance. It also supports real-time production tracking, smart assembly management, and intelligent warehouse systems for more efficient and flexible manufacturing processes.

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