A new mobility services segment tied to autonomy, mobility, and connectivity products and services will be worth more than $1 trillion globally by 2030, says a new report from KPMG, a Netherland-based audit, tax, and advisory firm which operates a large practice in Detroit.
The report states that deep learning — a type of advanced artificial intelligence and computerized decision-making that can be used by the automotive and transportation industry — is critical for self-driving vehicles that can operate without human intervention. It says that vehicles will need to be able to “see,” “think,” “drive,” and “learn” to be fully autonomous cars.
“Deep learning is accelerating autonomy faster than anyone could’ve imagined, and it has far-reaching implications for the industry and societal mobility as a whole,” says Gary Silberg, national automotive leader for KPMG. “It is a new era in automotive product development and manufacturing, one that emphasizes the car’s nervous system, enormous shift in organizational structure, talent acquisition, and operating model for most car manufacturers.”
According to the firm, deep learning is at a critical juncture in the auto industry. However, there are few specialists in the new technology, which makes it difficult for traditional automakers to compete with tech leaders and universities to keep up with the autonomous driving market demands for talent.
In the report, called I See. I Think. I Drive, KPMG says that with deep learning and autonomy, car ownership is transforming from individually owned vehicles to shared driving experiences.
The company also notes that automotive product development and manufacturing is changing to focus on the car’s nervous system, the center of the vehicle design. The system consists of computer “brain” sensors, controls, driver interaction, and data storage.
KPMG is the U.S. member firm of KPMG International Cooperative. The company operates in 155 countries, with 174,000 professionals and more than 9,000 partners.