Brain-Computer Interfaces: Global Markets
Scope of the Report: This report provides an overview of the global BCI market and analyzes market trends. Using 2020 as the base year, the report provides estimated market data for the forecast period 2021 to 2026.
New York, September 20, 2021 (GLOBE NEWSWIRE) – Reportlinker.com announces the publication of the report “Brain-Computer Interfaces: Global Markets” – https://www.reportlinker.com/p06151450/?utm_source=GNW
The revenue forecast for this period is segmented on the basis of component, type, technology, application and geography.
The report includes:
– 26 data tables and 72 additional tables
– Global Brain-Computer Interface (BCI) Technology Ecosystem Market Overview
– Analyzes of global market trends, with data from 2020, estimates for 2021, 2022 and 2024 and projections of compound annual growth rates (CAGR) to 2026
– Market size estimate and market forecast for Brain-Computer Interfaces by Component, Type, Application, Technology and Geographic Region
– Assessment of key market dynamics (DRO), R&D activities on BCIs with AI and the impact of COVID-19 on the BCI market
– Highlights of current and future market potential for BCIs, and review of regulatory framework, reimbursement scenario and funding in the tech space
– Information on new silicon chip technologies, technology adoption, ethical issues and number of publications related to BCI technology
– Regional BCI market share analysis covering key geographies and applications in major verticals
– Company profiles of key BCI industry participants including Advanced Brain Monitoring Inc., ANT Neuro, CGX A Cognionics Co., Emotiv Inc., g.tec medical engineering GmbH, Natus Medical Inc. and NIRx Medical Technologies LLC
There are several electrical signals used by an BCI and these are classified into field and peak potentials. These signals are used to interpret and communicate with devices connected to the brain.
BCIs use a variety of approaches to assess activity in the brain. The electrodes can be positioned invasively inside or on top of the brain, or non-invasively on the surface of the head.
Electroencephalography (EEG) has been used in the majority of BCIs. Several BCIs are built on non-invasive enzyme activity measurements, such as functional magnetic resonance imaging (fMRI).
Additionally, BCIs, when used in conjunction with several other regenerative technologies, can stimulate muscle movements controlled by the paralyzed limb cortex, as well as sensation, in those who have been paralyzed for a long time.
COVID-19 has slowed the development of BCIs as most medical laboratories have focused on managing some aspect of the COVID pandemic. Additionally, scientists and researchers have been hijacked to work on treatments and understand the virus.
Most of the companies involved in BCIs have delayed product launches because the medical device companies that would manufacture BCIs have instead worked on manufacturing equipment used to handle the COVID situation. However, some companies have managed to continue their work by providing online services.
For example, the BrainGate team was able to do their job during the pandemic using their high bandwidth wireless BCI. The BCI market is expected to grow from $ REDACTED in 2021 to a compound annual growth rate (CAGR) of REDACTED% to reach $ ABOLISHED in 2026.
BCIs have shown tremendous potential as real-time, two-way interfaces connecting human brains and actuators. The development of BCIs has been accelerated by AI, which helps improve the decoding and analysis of activity in the brain.
A wide range of BCI applications integrating AI aid have emerged over the past decade. These “intelligent” BCIs, which include sensory and motor BCIs, have seen substantial clinical success, improving the quality of life of paralyzed patients, increasing athletic ability, and accelerating the development of robotics and neurophysiological breakthroughs.
BCI technology is in the early stages of its implementation, but many industries are studying how the technology can benefit them. Automotive manufacturing is one of those industries that strives to utilize the benefits associated with this technology.
While most automakers are working on self-driving vehicles, Nissan has developed a whole new technology that will allow cars to drive autonomously by reading impulses directly from the driver’s brain.
Read the full report: https://www.reportlinker.com/p06151450/?utm_source=GNW
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