Visualized: What is the Artificial Intelligence of Things?
What is the Artificial Intelligence of Things?
The convergence of artificial intelligence (AI) and the Internet of Things (IoT), known as the Artificial Intelligence of Things (AIoT), is expected to accelerate digital transformation.
In this graphic, the third and final in the Digital Evolution series sponsored by Global X ETFs, we dive into the world of AIoT platforms and zero in on their impact on certain industries.
AIoT Platforms
AIoT platforms integrate AI programming into IoT devices such as sensors, smart TVs, security cameras, or thermostats. When deployed at scale, AIoT can become capable of everything from managing city traffic flow to improving hospital remote patient monitoring.
AI algorithms enable devices to gather and analyze massive amounts of data, extract valuable insights, and make intelligent decisions. This enhances the functionality and efficiency of existing IoT devices.
Real World Applications
Here are some examples of the numerous applications of AIoT in today’s world:
Smart Homes: AIoT brings intelligence to our living spaces by enabling seamless automation, enhanced energy efficiency, and improved security. This includes smart thermostats that automatically adjust to their environment, or security cameras that detect unwanted intruders instead of cars, animals, or planned guests.
Edge Computing: AIoT can enable a computer to shunt a portion of its processing requirements to another computer on the same network. This reduces latency, enhances security, and enables quicker decision-making.
Healthcare: By integrating AI with medical devices, wearables, and healthcare systems, practitioners can gain deeper insights into patient health, improve diagnosis accuracy, and deliver personalized treatments.
Smart Cities: The capstone of AIoT applications, smart city technology empowers municipalities to optimize resource utilization, streamline traffic management, and enhance public safety. An example would be in Zurich, where sensors automate street lights to complement traffic flow, resulting in a 70% reduction in energy consumption.
Embracing a Connected World
AIoT platforms are projected to grow at a staggering compound annual growth rate (CAGR) of 37.7% between 2022 and 2027. This growth will catapult the market from just $3.7 billion in 2022 to a jaw-dropping $24.9 billion by 2027.
The continuing growth of artificial intelligence promises to evolve many industries, optimize resource utilization, and enhance decision-making. But the technology becomes truly transformative when it is applied to Internet of Things devices enabling anything from the automation of municipal infrastructure to the easy monitoring of patients within a hospital.
There has never been a better time to embark on your AI investment journey and learn more about the limitless possibilities of a connected future with the Global X Internet of Things ETF.

Learn more about the Global X Internet of things ETF (SNSR)

-
Technology1 day ago
AI Week Wrap Report: See All the Visuals in One Place
AI Week, sponsored by Terzo, is Visual Capitalist’s in-depth exploration of the latest insights in the world of artificial intelligence.
-
Technology2 days ago
Visualizing U.S. vs. Chinese AI Model Performance
Historically, the top U.S. models have consistently outperformed those from China. But the gap is closing fast.
-
Technology4 days ago
Ranked: The Top 10 Most Wanted Skills for AI Jobs
More than ever, AI jobs are becoming increasingly sought after. We show the top skills listed in job postings in a rapidly expanding field.
-
Technology4 days ago
Visualizing AI vs. Human Performance in Technical Tasks
AI systems have seen rapid advancements, surpassing human performance in technical tasks such as advanced math and visual reasoning.
-
VC+5 days ago
The Ultimate Visual Breakdown of the AI Index Report 2025 (VC+)
Get our visual guide to the 2025 AI Index Report, only on VC+
-
Technology5 days ago
Charted: The Surging Cost of Training AI Models
To train AI models, companies are burning through millions of dollars to run thousands chips non-stop in sprawling data centers.