Sensors

Uniquely, the new IDTechEx Research report analyses and forecasts the major disruptive opportunities for radically new city materials, equipment and systems totalling a $1.7 trillion market in 2041.

IDTechEx have released a new market research report on the topic of smart cities markets - trillions of dollars on reinvented energy, food, water, transport, sensing, multipurpose materials.

The first electric hearing aid was created in 1898, and was arguably among the earliest examples of wearable tech. So it's fitting that, more than a century later, on- and in-ear technology is once again leading the way - this time as hearables, a sector now poised for substantial growth.

Apple has integrated 5G into all four newly announced iPhones. The news certainly sends a positive signal to the 5G industry, but many challenges await before 5G becomes ubiquitous.

This article discusses key technological issues that AI image diagnostics companies face and provides a roadmap describing when and how they are likely to be overcome over the next decade, based on research conducted by IDTechEx in the report "AI in Medical Diagnostics 2020-2030: Image Recognition, Players, Clinical Applications, Forecasts".

Water companies in the UK are catching up with IoT solutions, with many now putting smart meters into customer homes, to help them better monitor their water usage. But could these utilities companies do more?

The newest toy for dogs is a high-tech augmented reality headset.

The wearable sensor industry will be worth $2.5 billion in 2020, having tripled in size since 2014. This comes despite the significant economic challenges presented by the COVID-19 pandemic, which has caused a reduction in the total revenue this year.

False-start - stagnation - market explosion: The CNT success story begins, as IDTechEx forecasts significant growth

This IDTechEx article assesses the technological status of image recognition AI in medical diagnostics today, detailing its current capabilities and value proposition. The article also identifies key technological issues currently limiting the uptake of image recognition AI and discusses opportunities for improvement.