Just caught something worth paying attention to in the IoT space. The Internet of Things market is projected to hit around $3.37 trillion by 2031, and honestly, the growth runway here is massive. We're talking about everything from smart devices to industrial machines collecting and sharing data at scale.

Let me break down some of the best internet of things stocks I'm watching right now. Samsara caught my eye recently after finding solid support at $30 and bouncing back to $36.82. The upside potential looks real here, especially with Loop Capital just slapping a buy rating on it with a $42 target. What's interesting is how their AI-powered dash cams and machine learning capabilities are positioning them across nearly endless use cases. They just partnered with TMS on driver safety tech, which shows the kind of real-world adoption momentum we're seeing.

But here's the thing - if you want broader exposure without picking individual stocks, the Global X Internet of Things ETF offers a cleaner play. Trading around $34.77 with a 0.68% expense ratio, SNSR gives you exposure to 53 companies in the IoT ecosystem. You're getting a mix of semiconductor makers, sensor developers, and solution providers all in one fund. Holdings include Garmin, DexCom, STMicroelectronics, Lattice Semiconductor, and Qualcomm - basically the infrastructure backbone of this whole trend.

Then there's Aptiv, which just popped on earnings. The company delivered solid margin expansion and beat on adjusted EPS at $1.16 versus $1.01 expected. Sure, revenue missed slightly, but management raised full-year guidance. As electric vehicle adoption picks up globally, Aptiv's connected mobility solutions should see tailwinds.

The way I see it, if you're looking at best internet of things stocks to position for this structural trend, you've got options depending on your risk appetite. Direct stock picks like Samsara if you want concentrated exposure, or the SNSR ETF if you prefer diversified access to the broader IoT ecosystem. Either way, the underlying thesis around AI, machine learning, and connected devices feels pretty solid for the next few years.