AIoT: When Artificial Intelligence Meets the Internet of Things
AIoT: When AI Meets the Internet of Things
The Internet of Things (IoT) is a technology helping us to reimagine daily life, but artificial intelligence (AI) is the real driving force behind the IoT’s full potential.
From its most basic applications of tracking our fitness levels, to its wide-reaching potential across industries and urban planning, the growing partnership between AI and the IoT means that a smarter future could occur sooner than we think.
This infographic by TSMC highlights the breakthrough technologies and trends making that shift possible, and how we’re continuing to push the boundaries.
AI + IoT = Superpowers of Innovation
IoT devices use the internet to communicate, collect, and exchange information about our online activities. Every day, they generate 1 billion GB of data.
By 2025, there’s projected to be 42 billion IoT-connected devices globally. It’s only natural that as these device numbers grow, the swaths of data will too. That’s where AI steps in—lending its learning capabilities to the connectivity of the IoT.
The IoT is empowered by three key emerging technologies:
- Artificial Intelligence (AI)
Programmable functions and systems that enable devices to learn, reason, and process information like humans.
- 5G Networks
Fifth generation mobile networks with high-speed, near-zero lag for real time data processing.
- Big Data
Enormous volumes of data processed from numerous internet-connected sources.
Together, these interconnected devices are transforming the way we interact with our devices at home and at work, creating the AIoT (“Artificial Intelligence of Things”) in the process.
The Major AIoT Segments
So where are AI and the IoT headed together?
There are four major segments in which the AIoT is making an impact: wearables, smart home, smart city, and smart industry:
Wearable devices such as smartwatches continuously monitor and track user preferences and habits. Not only has this led to impactful applications in the healthtech sector, it also works well for sports and fitness. According to leading tech research firm Gartner, the global wearable device market is estimated to see more than $87 billion in revenue by 2023.
2. Smart Home
Houses that respond to your every request are no longer restricted to science fiction. Smart homes are able to leverage appliances, lighting, electronic devices and more, learning a homeowner’s habits and developing automated “support.”
This seamless access also brings about additional perks of improved energy efficiency. As a result, the smart home market could see a compound annual growth rate (CAGR) of 25% between 2020-2025, to reach $246 billion.
3. Smart City
As more and more people flock from rural to urban areas, cities are evolving into safer, more convenient places to live. Smart city innovations are keeping pace, with investments going towards improving public safety, transport, and energy efficiency.
The practical applications of AI in traffic control are already becoming clear. In New Delhi, home to some of the world’s most traffic-congested roads, an Intelligent Transport Management System (ITMS) is in use to make ‘real time dynamic decisions on traffic flows’.
4. Smart Industry
Last but not least, industries from manufacturing to mining rely on digital transformation to become more efficient and reduce human error.
From real-time data analytics to supply-chain sensors, smart devices help prevent costly errors in industry. In fact, Gartner also estimates that over 80% of enterprise IoT projects will incorporate AI by 2022.
The Untapped Potential of AI & IoT
AIoT innovation is only accelerating, and promises to lead us into a more connected future.
|Edge computing||Smart thermostats|
|Voice AI||Smart speakers||Natural language processing (NLP)
ePayment voice authentication
|Vision AI||Massive object detection||Video analytics on the edge
Super 8K resolution
The AIoT fusion is increasingly becoming more mainstream, as it continues to push the boundaries of data processing and intelligent learning for years to come.
Just like any company that blissfully ignored the Internet at the turn of the century, the ones that dismiss the Internet of Things risk getting left behind.
—Jared Newman, Technology Analyst
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.
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