The Industrial Internet of Things (IIoT): Are Companies Ready For It?
Are Companies Ready For the Industrial Internet of Things?
We’ve all heard about how the consumer version of the internet of things (IoT) will impact our lives. Smart devices in our homes, cars, and cities are already beginning to send and receive data to each other, allowing for unprecedented integration with consumer technologies.
But the implications of this revolution of connectivity extend way behind just smartphones and your home. In fact, it’s about to be applied on an industrial scale to everything from aerospace to mining in ways that people can hardly imagine.
The Industrial Internet of Things (IIoT) will pull data from millions of tiny sensors on every piece of industrial equipment fathomable. Companies will harness this data in real-time to create insights and efficiencies on a crazy scale: GE estimates it will help to generate a $10-$15 trillion increase in global GDP over the next 20 years.
But can companies handle the IIoT?
While this all sounds great in theory, the reality is that the transition to a useful IIoT is going to be an ongoing challenge. Very different types of data need to be captured and integrated, and companies will need to find ways to turn huge amounts of data into focused insights.
Bit Stew, from GE Digital, recently commissioned a survey of top IT execs to see if their respective companies were ready for the IIoT.
The survey found that only 30% of companies are currently early adopters of the IIoT, while the other 70% are still in the planning phase. Perhaps more importantly, top IT execs identified the potential barriers to their companies adopting the IIoT, as well as the opportunities that the IIoT can unlock for their operations:
- 80% of senior IT executives view improving operating efficiency and uptime as the top benefits that IIoT will bring.
- Other benefits identified: improved operating costs, better uptime, improved asset performance management, and knowledge transfer in the workplace.
- Larger organizations (1,000+ employees) found improving uptime to be a more compelling benefit than smaller organizations.
- 70% say that having proven capabilities for data modeling and mapping were more important for a IIoT platform than any other feature.
Barriers to Adoption
- 64% of senior IT executives said that integrating data from disparate sources and formats, and extracting business value from that data, is the biggest challenge the IIoT presents.
- Meanwhile, 36% say limited access to the right skills and expertise is the problem.
- Larger organizations (1,000+ employees) were more likely to struggle with traditional database management and analytics tools (34% vs 12%).
- 87% say that the overwhelming volume and veracity of data will result in losing valuable business insights.
- 33% say that businesses without a data management strategy will become marginalized, obsolete, or disappear.
Why is industrial data so complicated?
Industrial data comes from a variety of source types and is often messy. Combine this with its complexity, and that it comes in massive volumes and varied frequencies, and the situation is quite a quagmire for any aspiring adopter.
To enter a truly connected world where data about everything is analyzed instantaneously on an industrial scale, we must first solve these issues around data. It’s only then that the IIoT will show its true potential for business.
Ranked: America’s Largest Semiconductor Companies
This graphic visualizes the market capitalizations of America’s 15 largest semiconductor companies.
Ranking America’s Largest Semiconductor Companies
As our world moves further into an era of widespread digitization, few industries can be considered as important as semiconductors.
These components are found in almost everything we use on a daily basis, and the ability to produce them domestically has become a topic of national security. For example, in 2022 the Biden administration announced the CHIPS and Science Act, which aims to strengthen America’s position in everything from clean energy to artificial intelligence.
With this in mind, we’ve ranked the top 15 U.S. semiconductor companies by their market capitalizations.
Data and Highlights
The data we used to create this infographic is listed in the table below. Year-to-date (YTD) returns were included for additional context. Both metrics are as of May 30, 2023.
|Rank||Company||Ticker||Market Cap (USD billions)||YTD Return|
|13||Marvell Technology Group||MRVL||$54||76.2%|
At the top is Nvidia, which became America’s newest $1 trillion company on Tuesday, May 30th. Shares pulled back slightly over the day and Nvidia closed at $992 billion. Over the past decade, Nvidia has transformed from a gaming-focused graphics card producer to a global leader in AI and data center chips.
In third and sixth place are two of America’s most well known chipmakers, AMD and Intel. These longtime rivals are moving in opposite trajectories, with AMD shares climbing 770% over the past five years, and Intel shares falling 47%. One reason for this is the data center segment, in which AMD appears to be stealing market share from Intel.
Further down the list we see Applied Materials in seventh, and Lam Research in ninth. Both firms specialize in semiconductor manufacturing equipment and thus play an important role in the industry’s supply chain.
Trade War Impacts
As tensions between the U.S. and China escalate, chipmakers are becoming increasingly entangled in geopolitical conflict.
In October 2022, the Biden administration introduced new export controls aimed at blocking China’s access to semiconductors produced with U.S. equipment. This impacted several companies in our top 15 list, including Lam Research and Applied Materials.
Shortly after the export controls were announced, Lam Research said it expected to lose upwards of $2.5 billion in annual revenues.
We lost some very profitable customers in the China region, and that’s going to persist, obviously.
– Doug Bettinger, CFO, Lam Research
In response, China announced in May 2023 that it would no longer allow America’s largest memory chipmaker, Micron, to sell its products to “critical national infrastructure operators”.
This is not the first time Micron has been involved in a controversy with China. In 2018, the firm alleged that Fujian Jinhua Integrated Circuit, a Chinese state-owned company, had solicited a Micron employee to steal specifications for memory chips. The U.S. Department of Commerce imposed export restrictions on Fujian Jinhua as a result.
Chipmakers on both sides of the Pacific will be closely watching as competition between these two countries heats up.
VC+4 weeks ago
Coming Soon: Here’s What’s Coming to VC+ Next
Maps1 week ago
Mapped: Renewable Energy and Battery Installations in the U.S. in 2023
Demographics4 weeks ago
Visualizing the American Workforce as 100 People
Technology1 week ago
Nvidia Joins the Trillion Dollar Club
Batteries3 weeks ago
How EV Adoption Will Impact Oil Consumption (2015-2025P)
Demographics7 days ago
Comparing Population Pyramids Around the World
Money3 weeks ago
Ranked: The World’s Top 50 Endowment Funds
Green5 days ago
Ranked: The 20 Most Air-Polluted Cities on Earth