Press release

Juniper Research: Brain Machine Interface Shipments to Exceed 25 Million Per Annum by 2030, as Consumer Market Flourishes

Sponsored by Businesswire

New data from Juniper
has found that the global number of shipments of BMIs
(Brain Machine Interfaces); devices that connect computers to the brain,
will reach 25.6 million by 2030, up from an estimated 350,000 in 2019.

According to the new research, Brain
Machine Interfaces & Neuromodulation: Impact Assessments, Vendor
Positioning & Market Forecasts 2019-2030
, BMIs will expand
beyond pure experimental medical use cases, with strong consumer uses
developing. BMIs will offer the ability to control virtual reality
scenarios; enhancing the user experience and immersion level. Consumer
BMI devices will also enable compelling wellness functions, such as
supporting guided meditation and enhancing sleep quality.

Juniper anticipates that this enhanced consumer demand will drive
consumer BMI shipments to almost 13 million per annum by 2030 from just
over 100,000 in 2019.

For more insights, download the free whitepaper: Demystifying
Brain Machine Interfaces

Medical BMIs Will Drive Revenues

The research also found that while shipments of medical BMIs will be
significantly lower, this segment will drive revenues throughout the
forecast period; accounting for 78% of total revenues in 2030. Medical
devices, such as experimental visual and limb prosthetics, will be
highly expensive, with extensive research and clinical trials required
in order to reach their full potential.

Research author Nick Maynard explained: “While other areas will drive
shipments, the potential to change lives with medical BMIs is boundless.
The race to get to market at scale is on, with clinical trials set to
ramp up rapidly”.

EEG (Electroencephalography) the Dominant Interface for Now

Meanwhile, of all potential interface technologies, EEG will remain the
most dominant. While EEG is highly susceptible to noise, it is both
affordable, given its existing prevalence in medical fields, as well as
non-invasive, which is crucial for consumer adoption.

The research found that, in the longer term, the utilisation of machine
learning will be crucial to improving the quality of EEG performance,
which will reduce calibration time and unlock EEG’s full potential as a
consumer control interface.

Juniper Research provides research and analytical services to the global
hi-tech communications sector; providing consultancy, analyst reports
and industry commentary.