3 Less Known Technological Niches Full Of Startup...

3 Less Known Technological Niches Full Of Startup Opportunities

In this article, we explore three niches that don’t get as much press attention as AI while at the same time providing extremely high market disruption potential for innovative high-tech startups.

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3 Less Known Technological Niches Full Of Startup Opportunities

Abdo Riani
Senior Contributor
I share tips about launching, validating and growing startups.

Jun 30, 2024, 03:34pm EDT


Some of the most important factors for startup success are good timing, a good idea, and most importantly - favorable market conditions. That’s why choosing the right niche where you can create the most added value in a market which desperately needs that value is probably the most crucial thing you can do to be successful as a startup founder.

In this article, we explore three niches that don’t get as much press attention as AI while at the same time providing extremely high market disruption potential for innovative high-tech startups.

1. Neuromorphic Engineering

Neuromorphic engineering is an exciting and emerging field focused on developing hardware that mimics the human brain's structure and function. This technology has the potential to revolutionize artificial intelligence and machine learning by making them more efficient and energy-effective. Startups in this niche can focus on developing neuromorphic chips or software that leverages these chips for advanced AI applications.

One notable startup in the neuromorphic engineering space is BrainChip Holdings. BrainChip is an Australian company that specializes in developing neuromorphic processors designed to enable high-performance and low-power AI at the edge. The company's flagship product, Akida is a neuromorphic System-on-Chip (SoC) that processes information in an event-based manner, similar to how the human brain operates, which significantly reduces power consumption compared to traditional AI processors. Akida is reported to achieve a power consumption of less than 1 milliwatt (mW), making it highly efficient for edge devices that require extended battery life.

The field is still in its early stages, offering ample room for innovation and development. Startups can explore various applications and sectors where neuromorphic engineering can make a significant impact, with the most obvious sector being AI, which is one of the most opportunity-abundant fields in itself.