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LISTEN: The Evolution of Industrial IoT

The podcast episode covers the evolution of Industrial IoT with Undrea Patterson from MultiTech. Discussion topics include the challenges of IoT adoption across industries and the impact of internet technology on agriculture.

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By Industrial Iot ·
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LISTEN: The Evolution of Industrial IoT

Key takeaways

01

Industrial IoT is evolving to meet the demands of various industries.

02

IoT adoption requires overcoming significant challenges across multiple sectors.

03

The agricultural sector is entering a new internet-enabled age.

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On this episode of our Industrial IoT Podcast, we get to chat with Undrea Patterson from MultiTech. We discuss the evolution of IoT, challenges with the need for widespread adoption across multiple industries, and the arrival of the internet age for corn and cattle.

For more information on MultiTech – be sure to check out their website!

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Luxonis OAK 4 cameras run up to 52 TOPS of AI on board from $749

Luxonis OAK 4 cameras run up to 52 TOPS of AI on board from $749

Luxonis launched its OAK 4 edge AI cameras and Hub cloud platform in December 2025. Each runs 52 TOPS of inference on a Qualcomm QCS8550 with no host PC, cloud video stream or server, and prices start at $749. That puts vision compute on the camera itself.

  • 01The industrial PC beside the camera becomes optional: OAK 4 runs inference entirely on the device, so a vision cell's bill of materials shifts from camera plus host computer to camera plus a Hub subscription tier, one of which is free.
  • 02The 40X compute improvement Luxonis claims has no stated baseline in any of the coverage, so a buyer comparing OAK 4 against a prior OAK deployment should ask for the previous generation's TOPS figure before using the multiplier.
  • 03Snaps, the Hub feature that collects data at the edge to retrain models against drift, is the mechanism worth testing in a pilot; it is an announced capability, not yet a documented field result in the published reporting.

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IoT sensor market forecast to grow 37.6% a year to $549 billion by 2035

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Global Market Insights projects the IoT sensor market will grow from about $24 billion in 2025 to $549 billion by 2035. That is a 37.6% annual rate, according to Smart Industry's report on the study. The bigger operational implication is data volume, not sensor cost.

  • 01Predictive maintenance is the one use case Global Market Insights ties to measurable outcomes, downtime and asset efficiency, which makes it the sensor line item most likely to survive a capital review.
  • 02GMI's stated base of about $24 billion in 2025 and its 37.6% growth rate give operators a near-term checkpoint to test against real quotes long before the 2035 endpoint.
  • 03Inertial sensors, meaning accelerometers, gyroscopes and magnetometers, are widely used across consumer electronics, industrial systems, automotive platforms, wearables and drones, according to Smart Industry's summary of the GMI report.

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Lockheed Martin and Xaba cite 10x gain in robot drilling accuracy with xCognition

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  • 01Lockheed Martin and Xaba reported a 10x accuracy-and-consistency improvement tied to a two-phase test that included drilling on an aluminum plate with specified positional tolerances.
  • 02If the goal is moving selected drilling or light machining off CNC, the first gating item is whether the controller enables path-mode accuracy under tolerance, not whether the robot can detect parts.
  • 03Moruzzi’s observation that most AI research emphasis is still on computer vision is a reminder to separate “perception AI” from “process AI” when writing automation requirements and budgets.

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