Tesla and Drive.ai are the top key players in the smart driving market according to a new report on the global smart driving market. The report provides insight into the growth of smart driving in 2021 and how that growth has significant changes from the previous year as our global economy recovers from the impacts of Covid-19.
In the smart driving report
The report examines the business models and marketing strategies employed by leading market players such as Tesla and Drive.ai and how they are able to stay competitive while accelerating their business growth in the market.
It gives several market scenarios and solution recommendations to help these businesses stay ahead of their competitors. It also provides information on the impact of the Covid-19 pandemic on the market.
Additionally, it highlights the trends that influenced or challenged the market during the pandemic.
The report identifies existing opportunities and strategies that a company can use to increase its competitive advantage.
Tesla, Drive.AI and Mobile Eye are key players
Tesla, Drive.ai and Mobileye are just three of the major market players identified by the report. The smart driving market types are divided into two categories: autonomous vehicles and autonomous systems.
For autonomous vehicles, the two types of applications include passenger vehicles and commercial vehicles.
The full list is as follows:
- You’re here
- Innoviz Technologies
- Smart Drive
- Intelligent Driving GmbH
Tesla will hold its second AI Day in September
Many people forget that Tesla is not just an automaker, but also a technology company. On September 30, 2022, Tesla will hold its second AI Day and there’s a chance we might see the Optimus Bot prototype.
During the Q2 2022 earnings call, Elon Musk spoke briefly about AI Day.
“We are having our AI Day in a few months.”
“I think people will be amazed at what we can show on AI Day. So basically there’s a huge amount to look forward to in the second half of this year.
While attending Tesla’s first AI Day in person last year, I watched Ganesh Venkataramanan, Tesla’s senior director of autopilot hardware and head of the Dojo project.
Venkataramanan pointed to the insatiable demand for speed and capacity for training neural networks.
He then shared Tesla’s goal of achieving the best AI training performance while supporting larger and more complex models while being both energy efficient and cost effective.
“We thought about how to build this and came up with a distributed computing architecture. After all, all training computers are distributed computers in one form or another.