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AIoT: When Artificial Intelligence Meets the Internet of Things

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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:

1. Wearables

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.

CategoryTodayTomorrow
Edge computingSmart thermostats
Smart appliances
Home robots
Autonomous vehicles
Voice AISmart speakers
Natural language processing (NLP)
ePayment voice authentication
Vision AIMassive object detectionVideo 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

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The World’s Biggest Cloud Computing Service Providers

Cloud computing service providers generated $270 billion in revenues last year, concentrated among a few giants.

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This tree map shows the biggest cloud computing service providers globally by market share.

The World’s Biggest Cloud Computing Service Providers

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Today, the three largest cloud computing service providers command 66% of the global market.

Amazon, Microsoft, and Google have generated billions in revenues through their cloud infrastructure that provide the computing power companies need to store data. What’s more, most AI models are run on the cloud, creating a surge in computing demand for cloud providers.

The above graphic shows the largest cloud providers globally, based on data from Synergy Research Group.

Breaking Down the Cloud Market

Here are the world’s top cloud computing service providers based on enterprise revenues as of the fourth quarter of 2023:

ProviderCountryMarket Share Q4 2023
Amazon Web Services🇺🇸 U.S.31%
Microsoft Azure🇺🇸 U.S.24%
Google Cloud🇺🇸 U.S.11%
Alibaba Cloud🇨🇳 China4%
Salesforce🇺🇸 U.S.3%
IBM Cloud🇺🇸 U.S.2%
Oracle🇺🇸 U.S.2%
Tencent Cloud🇨🇳 China2%
Other🌐 Other21%

With 31% of the global market share, Amazon’s cloud division posted $24.2 billion in revenues over the quarter.

AWS is a major cash engine for the company, but growth slowed over 2023 as enterprises and startups cut back on tech spending. Annual sales growth compared to the same quarter last year grew by 13%—far below competitors Microsoft and Google, whose cloud divisions grew by 30% and 26%, respectively.

As we can see, U.S. firms make up the lion’s share of the market, while China’s Alibaba Cloud and Tencent Cloud together comprise 5% of the global share.

The AI Boom and the Cloud

Given that a significant chunk of AI models are run on the cloud, the industry may be positioned to see greater demand as momentum accelerates.

In fact, newer AI systems are as much as 10 to 100 times larger than older models. In line with this, major cloud providers are seeing high demand for cloud services to allow companies across financial to manufacturing sectors to run large language models on their platforms.

Today, 98% of companies globally rely on the cloud for at least one part of their business applications, which may present a market opportunity for the industry as advancements in AI continue to grow.

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