Datastream
Network Overload? Adding Up the Data Produced By Connected Cars
The following content is sponsored by Global X ETFs
The Briefing
- Connected cars could be producing up to 10 exabytes of data per month, a thousand-fold increase over current data volumes.
- This has serious implications for policymakers, manufacturers, and local network infrastructure.
Modern connected cars are almost like computers on wheels.
Today’s connected cars come stocked with as many as 200 onboard sensors, tracking everything from engine temperature to seatbelt status. And all those sensors create reams of data, which will increase exponentially as the autonomous driving revolution gathers pace.
With carmakers planning on uploading 50-70% of that data, this has serious implications for policymakers, manufacturers, and local network infrastructure.
In this visualization from our sponsor Global X ETFs, we add up the data produced by connected cars.
Data is a Plural Noun
Just how much data could it possibly be?
There are lots of estimates out there, from as much as 450 TB per day for robotaxis, to as little as 0.383 TB per hour for a minimally connected car. This visualization adds up the outputs from sensors found in a typical connected car of the future, with at least some self-driving capabilities.
The focus is on the kinds of sensors that an automated vehicle might use, because these are the data hogs. Sensors like the one that turns on your check-oil-light probably doesn’t produce that much data. But a 4K camera at 30 frames a second, on the other hand, produces 5.4 TB per hour.
Sensor | Sensors per Vehicle | Data Produced |
---|---|---|
RADAR | 4-6 | 0.1-15 Mbit/s/sensor |
LiDAR | 1-5 | 20-100 Mbit/s/sensor |
Camera | 6-12 | 500-3,500 Mbit/s/sensor |
Ultrasonic | 8-16 | <0.01 Mbit/s/sensor |
Vehicle Motion, GNSS/GPS, IMU | n/a | <0.1 Mbit/s |
Total Data | 3-40 Gbit/s/vehicle |
All together, you could have somewhere between 1.4 TB and 19 TB per hour. Given that U.S. drivers spend 17,600 minutes driving per year, a vehicle could produce between 380 and 5,100 TB every year.
To put that upper range into perspective, the largest commercially available computer storage—the 100 TB SSD Exadrive from Nimbus—would be full in 5 hours. A standard Blu-ray disc (50 GB) would be full in under 2 seconds.
Lag is a Drag
The problem is twofold. In the first place, the internet is better at downloading than uploading. And this makes sense when you think about it. How often are you uploading a video, versus downloading or streaming one?
Average global mobile download speeds were 30.78 MB/s in July 2022, against 8.55 MB/s for uploads. Fixed broadband is much higher of course, but no one is suggesting that you connect really, really long network cables to moving vehicles.
Ultimately, there isn’t enough bandwidth to go around. Consider the types of data traffic that a connected car could produce:
- Vehicle-to-vehicle (V2V)
- Vehicle-to-grid (V2G)
- Vehicles-to-people (V2P)
- Vehicles-to-infrastructure (V2I)
- Vehicles-to-everything (V2E)
The network just won’t be able to handle it.
Moreover, lag needs to be relatively non-existent for roads to be safe. If a traffic camera detects that another car has run a red light and is about to t-bone you, that message needs to get to you right now, not in a few seconds.
Full to the Gunwales
The second problem is storage. Just where is all this data supposed to go? In 2021, total global data storage capacity was 8 zettabytes (ZB) and is set to double to 16 ZB by 2025.
One study predicted that connected cars could be producing up to 10 exabytes per month, a thousand-fold increase over current data volumes.
At that rate, 8 ZB will be full in 2.2 years, which seems like a long time until you consider that we still need a place to put the rest of our data too.
At the Bleeding Edge
Fortunately, not all of that data needs to be uploaded. As already noted, automakers are only interested in uploading some of that. Also, privacy legislation in some jurisdictions may not allow highly personal data, like a car’s exact location, to be shared with manufacturers.
Uploading could also move to off-peak hours to even out demand on network infrastructure. Plug in your EV at the end of the day to charge, and upload data in the evening, when network traffic is down. This would be good for maintenance logs, but less useful for the kind of real-time data discussed above.
For that, Edge Computing could hold the answer. The Automotive Edge Computing Consortium has a plan for a next generation network based on distributed computing on localized networks. Storage and computing resources stay closer to the data source—the connected car—to improve response times and reduce bandwidth loads.
Invest in the Future of Road Transport
By 2030, 95% of new vehicles sold will be connected vehicles, up from 50% today, and companies are racing to meet the challenge, creating investing opportunities.
Learn more about the Global X Autonomous & Electric Vehicles ETF (DRIV). It provides exposure to companies involved in the development of autonomous vehicles, EVs, and EV components and materials.
And be sure to read about how experiential technologies like Edge Computing are driving change in road transport in Charting Disruption. This joint report by Global X ETFs and the Wall Street Journal is also available as a downloadable PDF.
Economy
Charted: Public Trust in the Federal Reserve
Public trust in the Federal Reserve chair has hit its lowest point in 20 years. Get the details in this infographic.

The Briefing
- Gallup conducts an annual poll to gauge the U.S. public’s trust in the Federal Reserve
- After rising during the COVID-19 pandemic, public trust has fallen to a 20-year low
Charted: Public Trust in the Federal Reserve
Each year, Gallup conducts a survey of American adults on various economic topics, including the country’s central bank, the Federal Reserve.
More specifically, respondents are asked how much confidence they have in the current Fed chairman to do or recommend the right thing for the U.S. economy. We’ve visualized these results from 2001 to 2023 to see how confidence levels have changed over time.
Methodology and Results
The data used in this infographic is also listed in the table below. Percentages reflect the share of respondents that have either a “great deal” or “fair amount” of confidence.
Year | Fed chair | % Great deal or Fair amount |
---|---|---|
2023 | Jerome Powell | 36% |
2022 | Jerome Powell | 43% |
2021 | Jerome Powell | 55% |
2020 | Jerome Powell | 58% |
2019 | Jerome Powell | 50% |
2018 | Jerome Powell | 45% |
2017 | Janet Yellen | 45% |
2016 | Janet Yellen | 38% |
2015 | Janet Yellen | 42% |
2014 | Janet Yellen | 37% |
2013 | Ben Bernanke | 42% |
2012 | Ben Bernanke | 39% |
2011 | Ben Bernanke | 41% |
2010 | Ben Bernanke | 44% |
2009 | Ben Bernanke | 49% |
2008 | Ben Bernanke | 47% |
2007 | Ben Bernanke | 50% |
2006 | Ben Bernanke | 41% |
2005 | Alan Greenspan | 56% |
2004 | Alan Greenspan | 61% |
2003 | Alan Greenspan | 65% |
2002 | Alan Greenspan | 69% |
2001 | Alan Greenspan | 74% |
Data for 2023 collected April 3-25, with this statement put to respondents: “Please tell me how much confidence you have [in the Fed chair] to recommend the right thing for the economy.”
We can see that trust in the Federal Reserve has fluctuated significantly in recent years.
For example, under Alan Greenspan, trust was initially high due to the relative stability of the economy. The burst of the dotcom bubble—which some attribute to Greenspan’s easy credit policies—resulted in a sharp decline.
On the flip side, public confidence spiked during the COVID-19 pandemic. This was likely due to Jerome Powell’s decisive actions to provide support to the U.S. economy throughout the crisis.
Measures implemented by the Fed include bringing interest rates to near zero, quantitative easing (buying government bonds with newly-printed money), and emergency lending programs to businesses.
Confidence Now on the Decline
After peaking at 58%, those with a “great deal” or “fair amount” of trust in the Fed chair have tumbled to 36%, the lowest number in 20 years.
This is likely due to Powell’s hard stance on fighting post-pandemic inflation, which has involved raising interest rates at an incredible speed. While these rate hikes may be necessary, they also have many adverse effects:
- Negative impact on the stock market
- Increases the burden for those with variable-rate debts
- Makes mortgages and home buying less affordable
Higher rates have also prompted many U.S. tech companies to shrink their workforces, and have been a factor in the regional banking crisis, including the collapse of Silicon Valley Bank.
Where does this data come from?
Source: Gallup (2023)
Data Notes: Results are based on telephone interviews conducted April 3-25, 2023, with a random sample of –1,013—adults, ages 18+, living in all 50 U.S. states and the District of Columbia. For results based on this sample of national adults, the margin of sampling error is ±4 percentage points at the 95% confidence level. See source for details.
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