We recently compiled a list of the 10 Best Self Driving Car Stocks To Buy Now. In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against the other self driving car stocks.
Advancements in artificial intelligence, data analysis, and machine learning are shaping how industries perform today. These three technological advancements have enhanced the potential of autonomous vehicles and Advanced Driver Assistance Systems (ADAS).
However, are the consumers ready to put their hands off the driving wheel and trust self-driving vehicles? Let’s explore how the autonomous driving industry is progressing with almost all major automotive manufacturers investing significantly to put their Full Self Driving (FSD) cars on the road.
The Global Autonomous Vehicle Industry
According to a report by Mordor Intelligence, the global autonomous vehicle market is valued at $41.10 billion in 2024. The market is expected to grow at a compound annual growth rate of 22.75% to reach $114.54 billion by 2029. The COVID-19 pandemic hindered the overall output of the automotive industry thereby delaying the production and roll-out of self-driving cars. In addition, increased government regulations to ensure road safety have also proved to be a barrier for automakers. However, with significant improvement in software and hardware technology backed by artificial intelligence, we see automakers rolling out their Level 2 and Level 3 autonomous cars on public roads.
For instance, on June 25 CNBC reported that Waymo a leading autonomous vehicle company, opened its self-driving robot taxis for users in San Francisco. The company claims that more than 300,000 people signed up for the service. To cater for the growing number of users Waymo One has rolled out a fleet of 300 cars in the city.
According to a survey by McKinsey & Company, automotive market leaders believe the autonomous segment to be less fragmented due to the complexity and investment involved in its operations. As per the survey, 15% of the respondents believe North America will have most companies working and deploying autonomous technology in the future. In contrast, 38% of respondents believe the European market to be led by at most two or three companies.
Regionally speaking, China and North America are leading the race to become the first countries to roll out Level 4 highway pilot technology. Respondents of the survey are equally divided with 58% believing either country could be the first in Level 4 technology.
As mentioned above, developing and rolling out autonomous vehicles requires a huge investment in software technology. However, the investment is also expected to return high margins. The survey found that experts believe autonomous vehicle software is expected to have an average margin of 15% and hardware technology will add another 10% to the margin, thereby making the autonomous vehicle segment a lucrative venture for automotive companies.
Latest Trends in the Autonomous Vehicle Industry
Emerging trends in the autonomous vehicle industry are paving the way towards achieving level 5 autonomy. Some of the latest developments in the industry include, the use of Internet of Things (IoT) to allow vehicles to connect with other vehicles, its environment, and the internet. This not only improves the vehicle safety by providing quick data acquisition and analysis to make timely decisions based on the traffic changes on the road. New sensor technologies such as the LiDAR scans the surrounding of the car using laser technology. When these LiDAR sensors move continuously using multiple laser sensors they create a 3D representation of the surrounding ensuring the vehicle drives safely without collision. Almost all level 3 autonomous vehicles use LiDAR scanners to enhance vehicle visibility to around 300 meters during daytime.
Moreover, advancements in artificial intelligence such as object detection algorithms along with the LiDAR help the vehicle detect pedestrians, traffic signs, and other vehicles on the road. Other deep learning algorithms are helping improve the user experience by enhanced voice recognition, gesture recognition, and sentiment analysis to help interact with the vehicle efficiently. Last but not the least, Big Data analysis techniques are being utilized by autonomous automakers to improve vehicle autonomy through analyzing data collected through radars, scanners, and cameras.
Our Methodology
To compile the list of the 10 best self-driving car stocks to buy, we looked at autonomous driving stock holdings of the Global X Autonomous & Electric Vehicles ETF. We selected the top 20 stocks from the ETF holdings and ranked the stocks that were the most widely held by institutional investors, as of Q1 2024. The list is in ascending order of the number of hedge fund holders for each stock.
Why do we care about what hedge funds do? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).
A close-up of a colorful high-end graphics card being plugged in to a gaming computer.
NVIDIA Corporation (NASDAQ:NVDA)
Number of Hedge Fund Holders: 186
NVIDIA Corporation (NASDAQ:NVDA) is a leading technology company that specializes in graphic processing units and computing solutions for an array of industries including gaming, data canters, autonomous automotive, professional visualization, and much more. NVIDIA Corporation’s (NASDAQ:NVDA), NVIDIA Drive Platform provides end-to-end solutions to support the development of autonomous driving technology.
The company posted a successful first quarter of 2025, with revenue growing 262% year-over-year to $26 billion backed by exceptional performance in its Data Center and Gaming segments. The Data Center revenue was up 427% year-over-year to reach $22.6 billion during the quarter, driven by the NVIDIA Hopper GPU used for training LLMs, recommendation engines, and generative AI. Management believes the automotive sector to be one of the key vertices within its Data Center segment and expects Auto to be the largest vertical driving multi-billion revenue opportunity during the year.
The automotive revenue of the company grew 11% year-over-year to reach $329 million and was primarily driven by the self-driving platforms. NVIDIA Corporation (NASDAQ:NVDA) has experienced a ramp-up in its AI cockpit solutions and global OEM customers translating to its subsequent growth in revenue.
The competitive edge of the company lies in its huge market capitalization and its ability to collaborate with leading automakers to deliver autonomous driving solutions. Some of the notable achievements for the company during the quarter include the successful launch of Xiaomi’s first electric vehicle built on NVIDIA Orin. Moreover, the company has also announced new design wins for its NVIDIA Drive Thor quoting significant partnerships with BYD, XPENG, Nuro, and GAC’s AION Hyper.
NVIDIA Corporation (NASDAQ:NVDA) is one of the best autonomous vehicle stocks because it was held by 186 hedge funds in Q1 2024, with total stakes worth $48.30 million. Renaissance Technologies is the top shareholder of the company with a position worth $867.5 million, as of August 11. 61 analysts have a Strong Buy rating on the stock, with their median price target of $140 presenting an upside of 34% from current levels.
Patient Capital Opportunity Equity Strategy stated the following regarding NVIDIA Corporation (NASDAQ:NVDA) in its Q2 2024 investor letter:
NVIDIA Corporation (NASDAQ:NVDA) continued to lead both the market and the portfolio, remaining a top performer in the period gaining 36.7%. Nvidia is the market leader in designing and selling Graphics Processing Units (GPU), which has recently benefited from the insatiable demand of artificial intelligence (AI) models. The company currently captures 92% market share of data center GPUs and grew revenue, earnings and free cash flow (“FCF”) an astounding 126%, 392%, and 610%, respectively, over the last year. While we expect competition to increase, we think NVDA can continue to maintain top market share. While many are concerned with backlog times shortening, we think the rollout of the B100, which promises 2.5x better performance for only 25% more cost, later this year will create more shortages. With leading edge technology, an increasing innovation cycle and strong cash generation, the company is well positioned for the increased adoption of artificial intelligence (AI).
Overall NVDA ranks 4th on our list of the best self driving car stocks. While we acknowledge the potential of NVDA as an investment, our conviction lies in the belief that AI stocks hold greater promise for delivering higher returns and doing so within a shorter timeframe. If you are looking for an AI stock that is more promising than NVDA but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.
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Disclosure: None. This article is originally published at Insider Monkey.
