Top five technologies for innovation leaders in electronics and IT

AdobeStock 238490021Digital transformation is one of the hottest topics in every industry, and as consumers are eagerly adopting increasing amounts of digital tech, electronics and IT players have a unique opportunity to impact more industries than ever before

To help guide innovation in this booming space, research and advisory firm Lux Research has released its annual report, ‘Foresight 2021: Top Emerging Technologies to Watch’

The Foresight 2021 report identifies and ranks 12 key technologies that will reshape the world in the coming years. The technologies are chosen based on innovation interest scores from the Lux Tech Signal, a composite measure assembled from a variety of innovation data sources, along with input from Lux’ experts. In addition to highlighting the overall technologies, for the first time, this year's report ranks the top five technologies for the electronics and IT space to watch.

Lux’ annual report analyses the digital transformation space, reviewing what topics emerged and which technologies gained traction during 2020. Its expert analysis of the hottest innovation topics and best tech startups found that the top five technologies electronics and IT innovation leaders should look to in the next decade are: 

AI-Enabled Sensors – Merging hardware and software to collect and validate critical data will be a major part of use cases from consumer wearables to medical devices to industrial IoT.

Digital Biomarkers – Using data analytics to detect disease through changes in streams of data analytics is a potent path for electronics companies to grab a piece of the healthcare pie.

Natural Language Processing – Natural language processing (NLP) allows electronics and IT players to extend into new services and industry segments, either by using it to leverage their data or by providing it as a service.

Edge Computing – Limitations in bandwidth and latency are pushing critical computation away from the cloud and out to the edge, with rapidly improving hardware and software enablers.

Synthetic Data – AI needs vast amounts of training data, and when real data is scarce, synthetic data can be a solution. It also boosts data diversity and privacy.

“Digital transformation as a concept has reached a point where developers and end-users have to look past the hype and find real ROI from the deployment of digital technologies,” explained Kevin See, PhD, vice-president of Research at Lux Research. “The central theme of these technologies is extracting value from data – whether layering AI on sensor outputs, analysing digital biomarkers to detect conditions, or using edge computing to extract insight locally in close to real-time. These technologies are primed to impact every industry, from healthcare to manufacturing and beyond.”

Alain Charles Publishing, University House, 11-13 Lower Grosvenor Place, London, SW1W 0EX, UK
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