According to the latest research by FMI, EMG biosensors market is set to experience steady growth during the year 2021-2031. With increasing importance of continuous health monitoring, the market according to research conducted by FMI will see a steady growth over the forecast period of 2021-2031 with a CAGR of around 6.7%.
Skeletal muscles in the human body carry out their function of contracting and relaxing with help of electrical signals directed by the brain. EMG or Electromyograph is type of device that measure this electrical activity.
Any variation in these patterns can point to a disturbance in the standard muscular function. This activity can be widely measured and analysed in two forms; pattern recognition and signal intensity.
Abnormal pattern in the former can indicate towards a potential muscular complication. The later, however, helps in determining the strength of the electrical signals reaching the muscles from the brain. Low signal points towards a probable electrical conduction issue in these skeletal muscles and vice versa.
These biosensors apart from EMG have diversity in their application, ranging from monitoring of heart rate, neural study and dermal study. This is an important factor in driving this market towards an optimistic future.
Growing awareness of continuous health monitoring is another crucial factor in driving this market ahead. This has recently gained more popularity among the athletes. Many athletes use this EMG biosensors to closely monitor their health, and notifies them in case of health concerns. This early detection will help athletes perform better and help them stay ahead of their game.
With technological advancements, biosensor technology is integrated in smart bands, smart watches, and smart rings which help monitor health parameters on the move 24/7. Although this may open up new avenues, but data accuracy is one of the concern which is likely to have negative impact on the market growth.
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According to article published by American Institute of Physics in their APL Materials journal (24 August 2021) use of nanocomposites made from materials like gold and silver which can be used in EMG biosensors.
Textile-based and affordable silver (Ag) micro-flakes were fabricated and then gold (Au) nano-particles were electrochemically deposited on the Ag. This process helped the researchers in increasing the bioavailability, biocompatibility and surface area of the particles.
It was inferred that the signals received during the myography were detected with more ease and accuracy than the normal biosensors. Bicep and finger movements were recorded to show the most sensitivity among other movements. Discoveries like these venturing into novel avenues to improve existing infrastructure will reinforce the growth of EMG biosensors market.
Advanced health edifice combined with standardized policies will help the U.S market towards a growth. The presence of major players will certainly prove beneficial for the market as with increasing research in finding out various applications of these bioreactors will certainly impact the market positively.
Apart from this, Washington Post reported that USA has the highest number of athletes in the Olympics. As continuous health monitoring plays an important role in athlete’s career, the presence of large number of athletes will positively drive the sales of EMG biosensors in this region.
Europe is the second most lucrative market owing to the European Union’s efforts to setup a novel technique in health monitoring. This technique is known as the Surface ElectroMyoGraphy for the Non-Invasive Assessment of muscles or SENIAM. EU’s Biomedical Health and Research P7rogramme has setup this technique.
This technique consists of a set of simulation models for education and testing, a set of test signals, eight books, publications and a European network for SEMG: the SENIAM club.
Some of the Key player operating in Europe include; TMSi (Netherlands), Bitbrain Technologies (Spain), and LUX Wireless Biosignals S.A (Portugal).
Key manufacturers and suppliers in the market are
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