Visualizing Companies with the Most Patents Granted in 2021
- In 2021, the U.S. Patent and Trademark Office (USPTO) granted a total of 327,798 utility patents
- For almost three decades, IBM has been granted more patents each year than any other U.S. company
Visualizing Companies with the Most Patents Granted in 2021
Companies around the world invest billions in R&D to provide cutting-edge innovation to their products and services. In order to protect these investments, companies apply for patents. Therefore, the number of utility patents a company is granted can be considered a rough measure of its level of innovation.
Every year, the Patent 300 List identifies America’s most innovative companies within the intellectual property space by analyzing the patents granted by the United States Patent and Trademark Office (USPTO).
In 2021, the USPTO granted a total of 327,798 utility patents, down 7% from the previous year. Let’s take a look at which companies generated the most patents in 2021.
|1||🇺🇸 U.S.||International Business Machines Corporation||8,540||-9%|
|2||🇰🇷 South Korea||Samsung Electronics Co., Ltd.||8,517||0%|
|3||🇰🇷 South Korea||Lg Corporation||4,388||-13%|
|4||🇯🇵 Japan||Canon K.K.||3,400||-8%|
|5||🇨🇳 China||Huawei Technologies Co., Ltd.||2,955||-7%|
|6||🇺🇸 U.S.||Intel Corporation||2,835||-14%|
|7||🇹🇼 Taiwan||Taiwan Semiconductor Mfg. Co. Ltd.||2,807||-3%|
|8||🇯🇵 Japan||Toyota Jidosha K.K.||2,753||-2%|
|9||🇺🇸 U.S.||Raytheon Technologies Corporation||2,694||-16%|
|10||🇯🇵 Japan||Sony Corporation||2,624||-9%|
For 29 consecutive years, IBM has led U.S. companies in the number of patents received annually. In 2021, the company received 8,540 patents, a 9% decline from the previous year.
IBM’s innovations are focused on solving major global challenges, and cover areas such as sustainable growth, climate change, and preventing future pandemics, as well as initiatives enabling food and energy security. They aim to address these problems through a blend of high-performance computing, artificial intelligence (AI), and quantum computing.
One of IBM’s most noteworthy innovations in 2021 was their new quantum processor called Eagle, which broke the 100-qubit barrier to bring quantum computing into a new era. This processor has the ability to solve problems that classical computers can’t, giving it the potential to bring real-world benefits to different fields from renewable energy to finance and more.
Samsung: A Close Second Innovator
Samsung Electronics is one of the biggest innovators over the last decade. In 2021, the company got 8,517 patents granted by the USPTO, a close second to IBM.
The company’s patent-winning innovations take place in several areas, including virtual and augmented reality (VR/AR), artificial intelligence and machine learning (AI/ML), 5G technologies, and autonomous driving.
The Technology Sector Dominates Utility Patents
Unsurprisingly, out of the top 25 companies with the most patents granted in 2021, 16 of them belong to the technology sector.
However, utility patents are not only limited to tech companies.
In fact, companies from all sectors apply for patents every year. Patents are great assets for companies since they give them exclusive commercial rights for their inventions and protect them from competition. This is one of the main reasons we see companies getting thousands of new patents every year.
Source: The Patent 300®, developed by Harrity Patent Analytics
Network Overload? Adding Up the Data Produced By Connected Cars
By 2025, connected cars could produce 10 exabytes (exabyte = 1B gigabytes) of data per month, a thousand-fold increase over current volumes.
- 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|
|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.
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