½ÃÀ庸°í¼­
»óǰÄÚµå
1802940

¼¼°èÀÇ ºê·¹ÀÎ ÄÄÇ»ÅÍ ÀÎÅÍÆäÀ̽º ½ÃÀå ¿¹Ãø : Á¦Ç°º°, ÄÄÆ÷³ÍÆ®º°, ±â¼úº°, ¿ëµµº°, ÃÖÁ¾»ç¿ëÀÚº°, Áö¿ªº° ºÐ¼®(-2032³â)

Brain-Computer Interface Market Forecasts to 2032 - Global Analysis By Product (Invasive BCI, Partially Invasive BCI and Non-Invasive BCI), Component (Hardware, Software & Algorithms and Service), Technology, Application, End User and By Geography

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Stratistics Market Research Consulting | ÆäÀÌÁö Á¤º¸: ¿µ¹® 200+ Pages | ¹è¼Û¾È³» : 2-3ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    



¡Ø º» »óǰÀº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

Stratistics MRC¿¡ µû¸£¸é ¼¼°èÀÇ ºê·¹ÀÎ ÄÄÇ»ÅÍ ÀÎÅÍÆäÀ̽º ½ÃÀåÀº 2025³â¿¡ 31¾ï 3,000¸¸ ´Þ·¯, ¿¹Ãø ±â°£ ÁßÀÇ CAGRÀº 19.35%¸¦ ³ªÅ¸³»°í, 2032³â¿¡´Â 107¾ï 9,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ°í ÀÖ½À´Ï´Ù.

ºê·¹ÀÎ ÄÄÇ»ÅÍ ÀÎÅÍÆäÀ̽º(BCI)´Â ±âÁ¸ÀÇ ½Å°æ±Ù °æ·Î¸¦ ÇÊ¿ä·Î ÇÏÁö ¾Ê°í Àΰ£ÀÇ ³ú¿Í ¿ÜºÎ Àåºñ °£ÀÇ Á÷Á¢ Åë½ÅÀ» °¡´ÉÇÏ°Ô ÇÏ´Â ÃÖ÷´Ü ±â¼úÀÔ´Ï´Ù. BCI´Â ¼¾¼­ÀÇ ½Å°æ ½ÅÈ£¸¦ ÀÐ°í ºÐ¼®ÇÏ¿© ³ú Ȱµ¿À» ÄÄÇ»ÅÍ, ÈÙü¾î, ÀÇÁö, ½ÉÁö¾î ·Îº¿ ½Ã½ºÅÛÀ» Á¶ÀÛÇÏ´Â ¸í·ÉÀ¸·Î º¯È¯ÇÒ ¼ö ÀÖ½À´Ï´Ù. BCI´Â À̵¿°ú Ä¿¹Â´ÏÄÉÀ̼ÇÀ» µÇã´Â »õ·Î¿î ¼ö´ÜÀ» Á¦°øÇϱ⠶§¹®¿¡ ÀÌ ±â¼úÀº ÀÇ·á »ê¾÷, ƯÈ÷ ½Å°æ Àå¾Ö, ¸¶ºñ ¹× ¾ð¾î Àå¾Ö¸¦ °¡Áø »ç¶÷µé¿¡°Ô Å« ÀáÀç·ÂÀ» °¡Áö°í ÀÖ½À´Ï´Ù. ¹Ì·¡ÀÇ Àΰ£°ú ±â¼úÀÇ »óÈ£ÀÛ¿ëÀ» Áö¿øÇÏ´Â Å« ÈûÀ¸·Î¼­, BCI´Â ÀÇ·á ¿ëµµ»Ó¸¸ ¾Æ´Ï¶ó °ÔÀÓ, ¹æ¾î, Àΰ£°ú ±â°èÀÇ ÅëÇÕ¿¡ ´ëÇÑ ÀÀ¿ëµµ ¿¬±¸µÇ°í ÀÖ½À´Ï´Ù.

¹Ì±¹ ½ÄǰÀǾ౹(FDA)¿¡ µû¸£¸é, »ó¼³ ÀÓ»ó¿ë BCI ÀÓÇöõÆ®ÀÇ ¼ö´Â ³»³â¿¡ 2¹è ÀÌ»óÀÌ µÉ °ÍÀ¸·Î ¿¹»óµÇÁö¸¸, ÇöÀç ¼³Ä¡µÇ¾î ÀÖ´Â °ÍÀº 100´ë ¹Ì¸¸ÀÔ´Ï´Ù.

½Å°æ Áúȯ Áõ°¡¿Í ³ëÈ­

BCI ½ÃÀåÀ» ÃßÁøÇϰí ÀÖ´Â ÁÖ¿ä ¿äÀÎ Áß Çϳª´Â ÆÄŲ½¼º´, ¾ËÃ÷ÇÏÀ̸Ӻ´, °£Áú, ±ÙÀ§Ã༺ Ãø»ö°æÈ­Áõ(ALS) µî ½Å°æÁúȯÀÇ À¯º´·ü »ó½Â°ú ³ëÈ­ÀÔ´Ï´Ù. À̵¿°ú ÀÇ»ç ¼ÒÅëÀ» Á¦ÇÑÇÏ´Â ½Å°æ ÅðÇ༺ Áúȯ°ú ¿îµ¿ Àå¾Ö´Â ³ëÀε鿡°Ô ¸¹ÀÌ ³ªÅ¸³³´Ï´Ù. BCI´Â ÀÒ¾î¹ö¸° ´É·ÂÀ» ȸº¹Çϴ âÀÇÀûÀÎ ¹æ¹ýÀ» Á¦°øÇÏ¿© ȯÀÚ°¡ »ç°í ÁÖµµÇü ¸í·ÉÀ» »ç¿ëÇÏ¿© ÁÖº¯ ȯ°æ°ú »óÈ£ ÀÛ¿ëÇÒ ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù. Áö¿ø±â¼ú¿¡ ´ëÇÑ Àå±âÀûÀÎ ¼ö¿äµµ, ƯÈ÷ ÀÇ·á ½Ã½ºÅÛÀÌ °íµµ·Î ¹ß´ÞÇÑ Áö¿ª¿¡¼­´Â °í·ÉÈ­¿¡ ÀÇÇØ ¹ÚÂ÷°¡ °É·Á ÀÖ½À´Ï´Ù. ¶ÇÇÑ È¿À²ÀûÀÎ ÀçȰ°ú Ä¿¹Â´ÏÄÉÀÌ¼Ç µµ±¸ÀÇ Çʿ伺Àº ½Å°æ Àå¾ÖÀÇ ¼¼°èÀûÀÎ Áõ°¡ÀÇ ÁøÇà°ú ÇÔ²² BCI äÅÃÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù.

½ÅÈ£ÀÇ º¹À⼺°ú ±â¼úÀû Á¦¾à

¸Å¿ì º¹ÀâÇÏ°í ¿ªµ¿ÀûÀÌ¸ç ¿ÜºÎ·ÎºÎÅÍÀÇ °£¼·À» ¹Þ±â ½¬¿î ³ú ½ÅÈ£¸¦ Á¤È®ÇÏ°Ô ÇØµ¶ÇÏ´Â °ÍÀº BCI¿¡ À־ Å« ±â¼úÀû °úÁ¦°¡ µÇ°í ÀÖ½À´Ï´Ù. ħ½ÀÀûÀÎ ±â¼úÀº Á¤È®µµ°¡ ³ôÀº ¹Ý¸é, °Ç°­»óÀÇ À§ÇèÀÌ ³ô°í, EEG¿Í °°Àº ºñħ½ÀÀûÀÎ ±â¼úÀº S/Nºñ°¡ ³·Àº °æ¿ì°¡ ¸¹¾Æ, ±× °á°ú, ÀÀ´äÀÌ ºÎÁ¤È®ÇÏ°Ô µÇ°Å³ª ´Ê¾îÁö´Â °æ¿ì°¡ ÀÖ½À´Ï´Ù. ³ú Ȱµ¿¿¡´Â °³ÀÎÂ÷°¡ Àֱ⠶§¹®¿¡ ±³Á¤ÀÌ ´õ¿í ¾î·Á¿öÁö°í ½Ã½ºÅÛÀÇ ½Å·Ú¼ºÀÌ ¶³¾îÁý´Ï´Ù. °Ô´Ù°¡ BCI ¼Ö·ç¼ÇÀÇ ±¤¹üÀ§ÇÑ º¸±ÞÀº ÀÌ·¯ÇÑ ±â¼úÀû Àå¾Ö¿¡ ÀÇÇØ ¹æÇصǰí È®À强ÀÌ Á¦ÇѵǾî ÀÓ»ó ¹× °ü¸®µÈ ¿¬±¸ ȯ°æ À̿ܿ¡´Â »ç¿ëÇÒ ¼ö ¾ø½À´Ï´Ù.

ÀÇ·á ÀÌ¿ÜÀÇ ÀÌ¿ë È®´ë

BCIÀÇ Ã¤ÅÃÀº ÀÇ·á ¾÷°è¿¡¼­ ¿©ÀüÈ÷ °¡Àå º¸±ÞµÇ°í ÀÖÁö¸¸, °ÔÀÓ, ½º¸¶Æ® Ȩ ¿ÀÅä¸ÞÀ̼Ç, ¹æ¾î, ±³À° µî ´Ù¸¥ ¾÷°è¿¡ÀÇ ÀÀ¿ëÀ» È®´ëÇÒ ±âȸµµ ¸¹½À´Ï´Ù. BCI´Â ÀÎÅÍ·¢Æ¼ºê ¿£ÅÍÅ×ÀÎ¸ÕÆ®¿¡ Çõ¸íÀ» ÀÏÀ¸Å°´Â »ç°í Á¦¾î ¸ôÀÔÇü °ÔÀÓ °æÇèÀ» âÃâÇÒ ¼ö ÀÖ½À´Ï´Ù. ¹æ¾î¿¡ÀÇ ÀÀ¿ëÀ¸·Î¼­´Â ÀüÅõÁßÀÇ »óȲ ÀνÄÀÇ Çâ»óÀ̳ª º´»çÀÇ Ä¿¹Â´ÏÄÉÀÌ¼Ç Åø µîÀÌ ÀÖ½À´Ï´Ù. BCI´Â ±³½ÇÀ̸ç Àå¾ÖÀÎ Çлý Áö¿ø, ÁÖÀÇ·Â ¸ð´ÏÅ͸µ, Áöµµ ¸ÂÃãÈ­ µî¿¡ »ç¿ëÇÒ ¼ö ÀÖ½À´Ï´Ù. ÇÑÆí, IoT ±â±â¿Í ÅëÇÕÇÔÀ¸·Î½á, °¡ÀüÁ¦Ç°ÀÇ ³ú½ÅÈ£¿¡ ÀÇÇÑ Á÷Á¢ Á¦¾î°¡ °¡´ÉÇØÁúÁöµµ ¸ð¸¨´Ï´Ù.

´Ù¸¥ ±â¼ú°úÀÇ °æÀï

BCI ½ÃÀåÀº ħ½ÀÀûÀÌ°í ¾î·Á¿î Á¶Ä¡¸¦ ÇÊ¿ä·Î ÇÏÁö ¾Ê°í µ¿µîÇÑ ÀÌÁ¡À» Á¦°øÇÒ ¼ö ÀÖ´Â ´Ù¸¥ ÃÖ÷´Ü ±â¼ú°úÀÇ °æÀï¿¡ ³ëÃâµÇ¾î ÀÖ½À´Ï´Ù. ¿¹¸¦ µé¾î, AI°¡ ÀåÂøµÈ º¸Á¶ Àåºñ, ½Ã¼± ÃßÀû ½Ã½ºÅÛ, Á¦½ºÃ³ ±â¹Ý ÄÁÆ®·Ñ, °í±Þ À½¼º ÀÎ½Ä µµ±¸ µîÀº ÀÌ¹Ì È¿À²ÀûÀÎ Ä¿¹Â´ÏÄÉÀÌ¼Ç ¹× À̵¿ ¼Ö·ç¼ÇÀ» Á¦°øÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ´ëüǰÀº ³Î¸® »ç¿ë °¡´ÉÇÏ°í »ç¿ëÇϱ⠽±°í Àú·ÅÇϱ⠶§¹®¿¡ ȯÀÚ¿Í °£º´Àο¡°Ô ´õ ¸Å·ÂÀûÀÔ´Ï´Ù. ¶ÇÇÑ ºñ¿ë È¿À²¼º, ¾ÈÀü¼º, »ç¿ë ÆíÀǼº Ãø¸é¿¡¼­ ´ëüǰ¿¡ ´ëÇÑ ¸íÈ®ÇÑ ÀÌÁ¡À» Á¦½ÃÇÒ ¼ö ¾ø´Â °æ¿ì BCI äÅÃÀÌ Á¤Ã¼µÉ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ °æÀï¾÷üÀÇ ¾Ð·ÂÀº ½ÃÀå Á¡À¯À²À» Á¦ÇÑÇϰí Àå±âÀûÀÎ ¼ºÀå Àü¸ÁÀ» ¹æÇØÇÒ ¼ö ÀÖ½À´Ï´Ù.

COVID-19ÀÇ ¿µÇâ :

COVID-19ÀÇ À¯ÇàÀº ºê·¹ÀÎ ÄÄÇ»ÅÍ ÀÎÅÍÆäÀ̽º(BCI) ½ÃÀå¿¡ ´Ù¾çÇÑ ¿µÇâÀ» ÁÖ¾ú°í, °úÁ¦¿Í ±âȸ¸¦ ¸ðµÎ ¸¸µé¾ú½À´Ï´Ù. ÇÑÆí, Àá±Ý ¹× ±ÔÁ¦´Â ÀÓ»ó½ÃÇè ¹æÇØ, Á¦Ç° °³¹ß Áö¿¬, ¼±ÅÃÀû ½Å°æ ¿Ü°ú ¼ö¼ú Áöü·Î ħ½ÀÀû BCI äÅÃÀ» ¹æÇØÇß½À´Ï´Ù. Á¦Á¶ ÀÏÁ¤°ú Çϵå¿þ¾î °¡¿ë¼ºµµ °ø±Þ¸Á È¥¶õ¿¡ ÀÇÇØ ¿µÇâÀ» ¹Þ¾Ò½À´Ï´Ù. ±×·¯³ª ÆÒµ¥¹ÍÀº µðÁöÅÐ °Ç°­ÀÇ µµÀÔÀ» °¡¼ÓÈ­ÇÏ°í ¿ø°Ý ½Å°æÇÐ, ¿ø°Ý ¸ð´ÏÅ͸µ, Ä¿¹Â´ÏÄÉÀÌ¼Ç ¹× À̵¿¿¡ Àå¾Ö°¡ Àִ ȯÀÚ¸¦ À§ÇÑ °í±Þ Áö¿ø ±â¼úÀÇ Çʿ伺¿¡ ÁÖ¸ñÇß½À´Ï´Ù. ¿þ¾î·¯ºí BCI¿Í ºñħ½À BCI´Â Á¤½Å °Ç°­, ÀçȰ ¹× ¿ø°Ý Ä¿¹Â´ÏÄÉÀ̼ÇÀ» À§ÇÑ ¾ÈÀüÇÑ ÀçÅà ¿É¼ÇÀ¸·Î °ü½ÉÀ» ²ø¾î ¾÷°è¿¡ Áö¼ÓÀûÀÎ ¼ºÀå¼¼¸¦ °¡Á®¿Ô½À´Ï´Ù.

¿¹Ãø±â°£ µ¿¾È ºñħ½À BCI ºÐ¾ß°¡ ÃÖ´ëÈ­µÉ Àü¸Á

ºñħ½ÀÀû BCI ºÐ¾ß´Â ¿¹Ãø ±â°£ µ¿¾È ÃÖ´ë ½ÃÀå Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ±× ÁÖµÈ ÀÌÀ¯´Â ħ½ÀÀû ½Ã½ºÅÛÀ̳ª ºÎºÐÀû ħ½ÀÀû ½Ã½ºÅÛ°ú´Â ´ëÁ¶ÀûÀ¸·Î ¾ÈÀüÇϰí Àú·ÅÇÏ¸ç ½±°Ô »ç¿ëÇÒ ¼ö Àֱ⠶§¹®ÀÔ´Ï´Ù. ºñħ½ÀÀû ºê·¹ÀÎ ÄÄÇ»ÅÍ ÀÎÅÍÆäÀ̽º(BCI)´Â ³úÆÄ°è(EEG) ¹× ±â´ÉÀû ±ÙÀû¿Ü¼± ºÐ±¤¹ý(fNIRS)°ú °°Àº ±â¼úÀ» »ç¿ëÇÏ¿© ¿Ü°úÀû À̽ÄÀÌ ÇÊ¿ä ¾øÀÌ ³ú ½ÅÈ£¸¦ ±â·ÏÇϱ⠶§¹®¿¡ ÀÓ»ó ¹× ¼ÒºñÀÚ¿ëµµ·Î º¸´Ù ÀÌ¿ëÇϱ⠽¬¿öÁö°í ÀÖ½À´Ï´Ù. °ÔÀÓÀ̳ª Á¤½Å Äɾî, ½º¸¶Æ® ȨÀÇ Á¦¾î µî ºñÀÇ·á ºÐ¾ß»Ó¸¸ ¾Æ´Ï¶ó, Ä¿¹Â´ÏÄÉÀÌ¼Ç Áö¿øÀ̳ª ÀçȰ µîÀÇ ÀÇ·á ºÐ¾ß¿¡¼­µµ º¸±ÞÀÌ ÁøÇàµÇ°í ÀÖ½À´Ï´Ù.

±â´ÉÀû ±ÙÀû¿Ü¼± ºÐ±¤¹ý(fNIRS) ºÎ¹®Àº ¿¹Ãø ±â°£ µ¿¾È °¡Àå ³ôÀº CAGRÀÌ ¿¹»óµÈ´Ù.

¿¹Ãø ±â°£ µ¿¾È, ±â´ÉÀû ±ÙÀû¿Ü¼± ºÐ±¤¹ý(fNIRS) ºÐ¾ß´Â ÈÞ´ë°¡´ÉÇϰí Àú·ÅÇÑ ºñħ½ÀÀû ½Å°æ À̹Ì¡¹ýÀ¸·Î ÀÌ¿ëÀÌ Áõ°¡Çϰí Àֱ⠶§¹®¿¡ °¡Àå ³ôÀº ¼ºÀå·üÀ» ³ªÅ¸³¾ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. fNIRS´Â fMRI¿Í MEG¿Í °°Àº ´ë±Ô¸ðÀÇ °í°¡ÀÇ ¾ç½ÄÀ» ´ëüÇÏ´Â º¸´Ù ¾ÈÀüÇÏ°í ½Ç¿ëÀûÀÎ ³ú Ȱµ¿ ÃøÁ¤¹ýÀÔ´Ï´Ù. fNIRS´Â È޴뼺, »ç¿ë ÆíÀǼº, ½Ç¼¼°è ÀÀ¿ë¿¡ ÀûÇÕÇϹǷΠÀçȰ, ÀÎÁö ±³À°, Á¤½Å °Ç°­ ¸ð´ÏÅ͸µ, Àΰ£°ú ÄÄÇ»ÅÍ °£ÀÇ »óÈ£ ÀÛ¿ë¿¡ ¸Å¿ì ¸Å·ÂÀûÀÔ´Ï´Ù. ¶ÇÇÑ ¼ÒºñÀÚ, ÀÇ·á, ±³À° ºÐ¾ß¿¡¼­ ¿þ¾î·¯ºíÇÏ°í »ç¿ëÀÚ Ä£È­ÀûÀÎ BCI¿¡ ´ëÇÑ ¿ä±¸°¡ Ä¿Áü¿¡ µû¶ó fNIRS´Â ºü¸£°Ô ¼±È£µÇ´Â ±â¼úÀÌ µÇ°í ÀÖ½À´Ï´Ù.

ÃÖ´ë Á¡À¯À²À» Â÷ÁöÇÏ´Â Áö¿ª

¿¹Ãø ±â°£ µ¿¾È ºÏ¹Ì´Â ½Å°æ ±â¼ú ¿¬±¸¿¡ ´ëÇÑ ¸¹Àº ÅõÀÚ, Á¤±³ÇÑ ÀÇ·á ÀÎÇÁ¶ó ¹× °ß°íÇÑ ±â¼ú »ýŰ踦 ÅëÇØ ÃÖ´ë ½ÃÀå Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ Áö¿ª¿¡´Â ÀÓ»ó¿ë ¹× ¼ÒºñÀÚ¿ë ħ½ÀÀû ¹× ºñħ½ÀÀû BCI¸¦ Àû±ØÀûÀ¸·Î °³¹ßÇϰí ÀÖ´Â ´ë±â¾÷, ½ÅÈï±â¾÷, Çмú±â°üÀÌ Á¸ÀçÇϰí ÀÖ¾î À¯¸®ÇÑ ¿äÀÎÀÌ µÇ°í ÀÖ½À´Ï´Ù. Á¤ºÎÀÇ ÀÚ±Ý Áö¿ø, ±ÔÁ¦ ´ç±¹ÀÇ Áö¿ø, ½Å°æ Àå¾Ö¸¦ °¡Áø ȯÀÚÀÇ Áö¿ø ±â¼ú¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÔ¿¡ µû¶ó äÅÃÀÌ ´õ¿í °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. °Ô´Ù°¡ ÀÌ Áö¿ªÀÇ ¿ìÀ§¼ºÀº ³ôÀº ÀÎÁöµµ, ÃÖ÷´Ü ÀÇ·á±â±âÀÇ ½Å¼ÓÇÑ µµÀÔ, Çмú±â°ü, ÀÇ·á½Ã¼³, ÇÏÀÌÅ×Å© ±â¾÷°£ÀÇ Á¦ÈÞ¿¡ ÀÇÇØ °­È­µÇ¾î ºÏ¹Ì°¡ BCI »ó¾÷È­ÀÇ ¼¼°èÀû ¸®´õ°¡ µÇ°í ÀÖ½À´Ï´Ù.

CAGRÀÌ °¡Àå ³ôÀº Áö¿ª :

¿¹Ãø ±â°£ µ¿¾È ¾Æ½Ã¾ÆÅÂÆò¾çÀÌ °¡Àå ³ôÀº CAGRÀ» ³ªÅ¸³¾ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ´Â Áß±¹, ÀϺ», Çѱ¹, Àεµ µî ±¹°¡¿¡¼­ ½Å°æÁúȯ Áõ°¡, ÀÇ·á ÀÎÇÁ¶óÀÇ ½Å¼ÓÇÑ °³¹ß, ½Å°æ±â¼ú¿¬±¸¿¡ ´ëÇÑ ÅõÀÚ Áõ°¡ µîÀÌ ¹è°æ¿¡ ÀÖ½À´Ï´Ù. BCIÀÇ °³¹ßÀº ÅäÂøÀÇ Çõ½Å »ýŰ踦 µÞ¹ÞħÇÏ°í ¼­¾ç ±â¼ú¿¡ ´ëÇÑ ÀÇÁ¸µµ¸¦ ÁÙÀ̱â À§ÇØ Áö¿ª Á¤ºÎ¿Í ºñ°ø°³ ȸ»ç°¡ Àû±ØÀûÀ¸·Î ÀÚ±ÝÀ» Áö¿øÇÕ´Ï´Ù. ½º¸¶Æ® Ȩ, °ÔÀÓ, ±³À° ¿ëµµ·Î ¿þ¾î·¯ºíÇÏ°í ºñħ½ÀÀûÀÎ BCI¿¡ ´ëÇÑ ¿ä±¸°¡ ³ô¾ÆÁö°í ÀÖ´Â °Íµµ äÅÃÀ» ´õ¿í °¡¼ÓÈ­Çϰí ÀÖ½À´Ï´Ù. °Ô´Ù°¡ ¾Æ½Ã¾ÆÅÂÆò¾çÀº Àα¸ ¸¹À½, Áß°£ÃþÀÇ ÀÇ·á ÁöÃâ Áõ°¡, µðÁöÅÐ º¯ÇõÀÇ °ß°íÇÔÀ¸·Î ÀÎÇØ °¡Àå ±Þ¼ºÀåÇÏ´Â ½ÃÀåÀÌ µÇ°í ÀÖ½À´Ï´Ù.

¹«·á ¸ÂÃãÇü ¼­ºñ½º

ÀÌ º¸°í¼­¸¦ ±¸µ¶ÇÏ´Â °í°´Àº ´ÙÀ½ ¹«·á ¸ÂÃã¼³Á¤ ¿É¼Ç Áß Çϳª¸¦ »ç¿ëÇÒ ¼ö ÀÖ½À´Ï´Ù.

  • ±â¾÷ ÇÁ·ÎÆÄÀÏ
    • Ãß°¡ ±â¾÷ÀÇ Á¾ÇÕÀû ÇÁ·ÎÆÄÀϸµ(3°³»ç±îÁö)
    • ÁÖ¿ä ±â¾÷ÀÇ SWOT ºÐ¼®(3°³»ç±îÁö)
  • Áö¿ª ±¸ºÐ
    • °í°´ÀÇ °ü½É¿¡ ÀÀÇÑ ÁÖ¿ä±¹ ½ÃÀå ÃßÁ¤, ¿¹Ãø ¹× CAGR(ÁÖ : Ÿ´ç¼º È®Àο¡ µû¸§)
  • °æÀï º¥Ä¡¸¶Å·
    • Á¦Ç° Æ÷Æ®Æú¸®¿À, Áö¸®Àû Á¸Àç, Àü·«Àû Á¦ÈÞ¿¡ ±â¹ÝÇÑ ÁÖ¿ä ±â¾÷ º¥Ä¡¸¶Å·

¸ñÂ÷

Á¦1Àå ÁÖ¿ä ¿ä¾à

Á¦2Àå ¼­·Ð

  • °³¿ä
  • ÀÌÇØ°ü°èÀÚ
  • ºÐ¼® ¹üÀ§
  • ºÐ¼® ¹æ¹ý
    • µ¥ÀÌÅÍ ¸¶ÀÌ´×
    • µ¥ÀÌÅÍ ºÐ¼®
    • µ¥ÀÌÅÍ °ËÁõ
    • ºÐ¼® Á¢±Ù
  • ºÐ¼® ÀÚ·á
    • 1Â÷ Á¶»ç ÀÚ·á
    • 2Â÷ Á¶»ç Á¤º¸¿ø
    • ÀüÁ¦Á¶°Ç

Á¦3Àå ½ÃÀå µ¿Ç⠺м®

  • ¼ºÀå ÃËÁø¿äÀÎ
  • ¾ïÁ¦¿äÀÎ
  • ½ÃÀå ±âȸ
  • À§Çù
  • Á¦Ç° ºÐ¼®
  • ±â¼ú ºÐ¼®
  • ¿ëµµ ºÐ¼®
  • ÃÖÁ¾ »ç¿ëÀÚ ºÐ¼®
  • ½ÅÈï ½ÃÀå
  • ½ÅÇü Äڷγª ¹ÙÀÌ·¯½º °¨¿°(COVID-19)ÀÇ ¿µÇâ

Á¦4Àå Porter's Five Forces ºÐ¼®

  • °ø±ÞÀÚÀÇ Çù»ó·Â
  • ¹ÙÀ̾îÀÇ Çù»ó·Â
  • ´ëü Á¦Ç°ÀÇ À§Çù
  • ½Å±Ô ÁøÃâ±â¾÷ÀÇ À§Çù
  • ±â¾÷°£ °æÀï

Á¦5Àå ¼¼°èÀÇ ºê·¹ÀÎ ÄÄÇ»ÅÍ ÀÎÅÍÆäÀ̽º ½ÃÀå : Á¦Ç°º°

  • ħ½À¼º BCI
  • ºÎºÐ ħ½À¼º BCI
  • ºñħ½À¼º BCI

Á¦6Àå ¼¼°èÀÇ ºê·¹ÀÎ ÄÄÇ»ÅÍ ÀÎÅÍÆäÀ̽º ½ÃÀå : ÄÄÆ÷³ÍÆ®º°

  • Çϵå¿þ¾î
  • ¼ÒÇÁÆ®¿þ¾î ¾Ë°í¸®Áò
  • ¼­ºñ½º

Á¦7Àå ¼¼°èÀÇ ºê·¹ÀÎ ÄÄÇ»ÅÍ ÀÎÅÍÆäÀ̽º ½ÃÀå : ±â¼úº°

  • ³úÆÄ °Ë»ç(EEG)
  • ÇÇÁú Àü±â ±â·Ï(ECoG)
  • ÀÚ±â³úÀüµµ(MEG)
  • ±â´ÉÀû Àڱ⠰ø¸í ¿µ»ó¹ý(fMRI)
  • ±â´ÉÀû ±ÙÀû¿Ü¼± ºÐ±¤¹ý(fNIRS)
  • ±âŸ ±â¼ú

Á¦8Àå ¼¼°èÀÇ ºê·¹ÀÎ ÄÄÇ»ÅÍ ÀÎÅÍÆäÀ̽º ½ÃÀå : ¿ëµµº°

  • ÀÇ·á ¹× ½Å°æ ÀçȰ
  • ¿£ÅÍÅ×ÀÎ¸ÕÆ® ¹× °ÔÀÓ
  • Åë½Å ¹× Á¦¾î
  • ½º¸¶Æ® Ȩ ¹× IoT ÄÁÆ®·Ñ
  • ³ú ±â´É ȸº¹
  • ±º ¹× ¹æÀ§¿ëµµ
  • ±âŸ ¿ëµµ

Á¦9Àå ¼¼°èÀÇ ºê·¹ÀÎ ÄÄÇ»ÅÍ ÀÎÅÍÆäÀ̽º ½ÃÀå : ÃÖÁ¾ »ç¿ëÀÚº°

  • º´¿ø ¹× Áø·á¼Ò
  • ¿¬±¸ ¹× Çмú±â°ü
  • ¹æÀ§ ¹× ±º»ç Á¶Á÷
  • °¡Àü Á¦Á¶¾÷ü
  • Áö¿ø ±â¼ú Á¦°ø¾÷ü
  • ÀçȰ¼¾ÅÍ ¹× ½Ã·á Á¦°ø¾÷ü
  • ÀçÅÃÄ¡·á ¹× ¿ø°Ý ÀÇ·á Á¦°ø¾÷ü
  • ±âŸ ÃÖÁ¾ »ç¿ëÀÚ

Á¦10Àå ¼¼°èÀÇ ºê·¹ÀÎ ÄÄÇ»ÅÍ ÀÎÅÍÆäÀ̽º ½ÃÀå : Áö¿ªº°

  • ºÏ¹Ì
    • ¹Ì±¹
    • ij³ª´Ù
    • ¸ß½ÃÄÚ
  • À¯·´
    • µ¶ÀÏ
    • ¿µ±¹
    • ÀÌÅ»¸®¾Æ
    • ÇÁ¶û½º
    • ½ºÆäÀÎ
    • ±âŸ À¯·´
  • ¾Æ½Ã¾ÆÅÂÆò¾ç
    • ÀϺ»
    • Áß±¹
    • Àεµ
    • È£ÁÖ
    • ´ºÁú·£µå
    • Çѱ¹
    • ±âŸ ¾Æ½Ã¾ÆÅÂÆò¾ç
  • ³²¹Ì
    • ¾Æ¸£ÇîÆ¼³ª
    • ºê¶óÁú
    • Ä¥·¹
    • ±âŸ ³²¹Ì
  • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
    • »ç¿ìµð¾Æ¶óºñ¾Æ
    • ¾Æ¶ø¿¡¹Ì¸®Æ®(UAE)
    • īŸ¸£
    • ³²¾ÆÇÁ¸®Ä«
    • ±âŸ Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«

Á¦11Àå ÁÖ¿ä µ¿Çâ

  • °è¾à, »ç¾÷ Á¦ÈÞ ¹× Çù·Â, ÇÕÀÛ »ç¾÷
  • ±â¾÷ ÇÕº´ ¹× Àμö(M&A)
  • ½ÅÁ¦Ç° ¹ß¸Å
  • »ç¾÷ È®Àå
  • ±âŸ ÁÖ¿ä Àü·«

Á¦12Àå ±â¾÷ ÇÁ·ÎÆÄÀϸµ

  • Cadwell Industries
  • G.Tec Medical Enginneering Gmbh
  • Emotiv Systems Inc.
  • Advanced Brain Monitoring, Inc.
  • Natus Medical Incorporated
  • Compumedics, Ltd
  • Blackrock Neurotech Inc
  • Medtronic
  • Paradromics
  • Bitbrain Technologies
  • Nihon Kohden Corporation
  • Synchron
  • NeuroSky Inc
  • BrainCo, Inc.
  • Mind Technologies, Inc
  • Kernel Inc
SHW 25.09.09

According to Stratistics MRC, the Global Brain-Computer Interface Market is accounted for $3.13 billion in 2025 and is expected to reach $10.79 billion by 2032 growing at a CAGR of 19.35% during the forecast period. A brain-computer interface, or BCI, is a cutting-edge technology that eliminates the need for conventional neuromuscular pathways and permits direct communication between the human brain and external devices. BCIs can convert brain activity into commands that operate computers, wheelchairs, prosthetic limbs, and even robotic systems by reading and analyzing neural signals from sensors. Because it provides new means of regaining mobility and communication, this technology has enormous potential in the healthcare industry, especially for those with neurological disorders, paralysis, or speech impairments. As a major force behind future human-technology interaction, BCIs are being investigated for use in gaming, defense, and human-machine integration in addition to medical applications.

According to the U.S. Food and Drug Administration (FDA), the number of permanent clinical BCI implants is expected to more than double within the next year, although fewer than 100 such devices are currently installed.

Market Dynamics:

Driver:

Growing neurological disorder prevalence and aging populations

One of the main factors propelling the BCI market is the rising prevalence of neurological conditions like Parkinson's disease, Alzheimer's, epilepsy, and amyotrophic lateral sclerosis (ALS), as well as the aging population. Neurodegenerative diseases and motor impairments that limit mobility and communication are more common in older adults. BCIs offer creative ways to regain lost abilities, allowing patients to use thought-driven commands to interact with their surroundings. Long-term demand for assistive technologies is also fueled by the aging population, especially in areas with highly developed healthcare systems. Moreover, the need for efficient rehabilitation and communication tools, coupled with the ongoing global increase in neurological disorders, is driving the adoption of BCI.

Restraint:

Signal complexity and technical restrictions

Accurately decoding brain signals-which are extremely complex, dynamic, and prone to outside interference-presents substantial technical challenges for BCIs. While invasive techniques offer higher accuracy but come with greater health risks, non-invasive techniques, such as EEG, frequently produce low signal-to-noise ratios, which can result in inaccurate or delayed responses. Individual differences in brain activity make calibration even more difficult, which reduces the systems' dependability for widespread use. Furthermore, broad adoption of BCI solutions is being slowed down by these technical obstacles, which also restrict their scalability and prevent them from being used outside of clinical or controlled research settings.

Opportunity:

Extending uses outside of healthcare

The adoption of BCI is still most prevalent in the healthcare industry, but there are also a lot of opportunities to expand applications to other industries like gaming, smart home automation, defense, and education. BCIs can create thought-controlled, immersive gaming experiences that revolutionize interactive entertainment. Applications for defense include improved situational awareness during combat and communication tools for soldiers. BCIs can be used in the classroom to support students with disabilities, monitor attention spans, and customize instruction. Integration with IoT devices, meanwhile, may enable direct brain signal control of household appliances.

Threat:

Competition from other technologies

The market for BCI is also at risk from competition from other cutting-edge technologies that can provide comparable advantages without requiring invasive or difficult procedures. AI-powered assistive devices, eye-tracking systems, gesture-based controls, and sophisticated voice recognition tools, for example, already offer efficient communication and mobility solutions. These substitutes are more appealing to patients and caregivers because they are frequently more widely accessible, user-friendly, and less expensive. Moreover, the adoption of BCIs may stall if they are unable to show a definite advantage over alternatives in terms of cost-effectiveness, safety, and usability. This pressure from competitors may restrict market share and impede long-term growth prospects.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the Brain-Computer Interface (BCI) market, creating both challenges and opportunities. On the one hand, lockdowns and restrictions hindered the adoption of invasive BCIs by interfering with clinical trials, delaying product development, and slowing elective neurosurgical procedures. Manufacturing schedules and hardware availability were also affected by supply chain disruptions. However, the pandemic hastened the adoption of digital health and brought attention to the necessity of tele-neurology, remote monitoring, and sophisticated assistive technologies for patients with communication or mobility impairments. Wearable and non-invasive BCIs attracted interest as secure, at-home options for mental health, rehabilitation, and remote communication, generating sustained growth momentum for the industry.

The non-invasive BCI segment is expected to be the largest during the forecast period

The non-invasive BCI segment is expected to account for the largest market share during the forecast period, mainly because, in contrast to invasive and partially invasive systems, it is safe, inexpensive, and simple to use. Non-invasive brain-computer interfaces (BCIs) are more accessible for clinical and consumer applications because they use technologies such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to record brain signals without the need for surgical implantation. They are becoming more and more popular in non-medical fields like gaming, mental wellness, and smart home control, as well as in healthcare for communication support and rehabilitation.

The functional near-infrared spectroscopy (fNIRS) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the functional near-infrared spectroscopy (fNIRS) segment is predicted to witness the highest growth rate because of its increasing use as a portable, affordable, and non-invasive neuroimaging method. Blood oxygenation changes are tracked by fNIRS, a safer and more practical alternative to large, expensive modalities like fMRI or MEG for measuring brain activity. It is very appealing for rehabilitation, cognitive training, mental health monitoring, and human-computer interaction because of its portability, simplicity of use, and suitability for real-world applications. Additionally, fNIRS is quickly becoming a preferred technology as the need for wearable and user-friendly BCIs increases in the consumer, healthcare, and educational sectors.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by its substantial investments in neurotechnology research, sophisticated healthcare infrastructure, and robust technological ecosystem. Leading businesses, start-ups, and academic institutions actively creating invasive and non-invasive BCIs for clinical and consumer use are present in the area, which is advantageous. Adoption is further accelerated by favorable government funding, regulatory support, and growing patient demand for assistive technologies among those with neurological disorders. Furthermore, the region's dominance is reinforced by high awareness, quick adoption of cutting-edge medical devices, and partnerships between academic institutions, healthcare facilities, and tech companies, making North America the world leader in BCI commercialization.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by the rise in neurological disorders in nations like China, Japan, South Korea, and India, the quick development of healthcare infrastructure; and growing investments in neurotechnology research. The development of BCI is being actively funded by regional governments and private companies in an effort to boost indigenous innovation ecosystems and lessen reliance on Western technologies. Adoption is further accelerated by the growing need for wearable, non-invasive BCIs in smart home, gaming, and educational applications. Moreover, Asia-Pacific is becoming the fastest-growing market due to its large population, rising middle-class healthcare spending, and robust digital transformation.

Key players in the market

Some of the key players in Brain-Computer Interface Market include Cadwell Industries, G.Tec Medical Enginneering Gmbh, Emotiv Systems Inc., Advanced Brain Monitoring, Inc., Natus Medical Incorporated, Compumedics, Ltd, Blackrock Neurotech Inc, Medtronic, Paradromics, Bitbrain Technologies, Nihon Kohden Corporation, Synchron, NeuroSky Inc, BrainCo, Inc., Mind Technologies, Inc and Kernel Inc.

Key Developments:

In July 2025, Compumedics Limited announced the signing of two new 4-year distribution agreements with long-standing partners in China. The agreements, valued at A$24.4 million in total, further strengthen Compumedics' presence across key regions in Asia. The first, a A$20 million agreement, extends the Company's established partnership with its long-term Northern China distributor focused on sleep diagnostics.

In April 2025, Medtronic announced that it has entered into an agreement with Retia Medical, an innovative digital health company that develops advanced hemodynamic solutions, to distribute the Argos(TM) cardiac output monitor. The Argos(TM) monitor provides healthcare professionals with accurate hemodynamic data to support the treatment of high-risk surgical and critically ill patients.

In April 2025, Cadwell Industries has launched its latest Sierra software release providing patent-pending, synchronized ultrasound and electromyography (EMG). Combined with the Sierra Summit electrodiagnostic system and Sierra NMUS1 integrated ultrasound, the update brings electrophysiological data and ultrasound imaging together in real-time on a single screen.

Products Covered:

  • Invasive BCI
  • Partially Invasive BCI
  • Non-Invasive BCI

Components Covered:

  • Hardware
  • Software & Algorithms
  • Service

Technologies Covered:

  • Electroencephalography (EEG)
  • Electrocorticography (ECoG)
  • Magnetoencephalography (MEG)
  • Functional Magnetic Resonance Imaging (fMRI)
  • Functional Near-Infrared Spectroscopy (fNIRS)
  • Other Technologies

Applications Covered:

  • Healthcare & Neurorehabilitation
  • Entertainment & Gaming
  • Communication & Control
  • Smart Home & IoT Control
  • Brain Function Restoration
  • Military & Defense Applications
  • Other Applications

End Users Covered:

  • Hospitals & Clinics
  • Research & Academic Institutes
  • Defense & Military Organizations
  • Consumer Electronics Companies
  • Assistive Technology Providers
  • Rehabilitation Centers & Therapy Providers
  • Homecare & Telehealth Providers
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Product Analysis
  • 3.7 Technology Analysis
  • 3.8 Application Analysis
  • 3.9 End User Analysis
  • 3.10 Emerging Markets
  • 3.11 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Brain-Computer Interface Market, By Product

  • 5.1 Introduction
  • 5.2 Invasive BCI
  • 5.3 Partially Invasive BCI
  • 5.4 Non-Invasive BCI

6 Global Brain-Computer Interface Market, By Component

  • 6.1 Introduction
  • 6.2 Hardware
  • 6.3 Software & Algorithms
  • 6.4 Service

7 Global Brain-Computer Interface Market, By Technology

  • 7.1 Introduction
  • 7.2 Electroencephalography (EEG)
  • 7.3 Electrocorticography (ECoG)
  • 7.4 Magnetoencephalography (MEG)
  • 7.5 Functional Magnetic Resonance Imaging (fMRI)
  • 7.6 Functional Near-Infrared Spectroscopy (fNIRS)
  • 7.7 Other Technologies

8 Global Brain-Computer Interface Market, By Application

  • 8.1 Introduction
  • 8.2 Healthcare & Neurorehabilitation
  • 8.3 Entertainment & Gaming
  • 8.4 Communication & Control
  • 8.5 Smart Home & IoT Control
  • 8.6 Brain Function Restoration
  • 8.7 Military & Defense Applications
  • 8.8 Other Applications

9 Global Brain-Computer Interface Market, By End User

  • 9.1 Introduction
  • 9.2 Hospitals & Clinics
  • 9.3 Research & Academic Institutes
  • 9.4 Defense & Military Organizations
  • 9.5 Consumer Electronics Companies
  • 9.6 Assistive Technology Providers
  • 9.7 Rehabilitation Centers & Therapy Providers
  • 9.8 Homecare & Telehealth Providers
  • 9.9 Other End Users

10 Global Brain-Computer Interface Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Cadwell Industries
  • 12.2 G.Tec Medical Enginneering Gmbh
  • 12.3 Emotiv Systems Inc.
  • 12.4 Advanced Brain Monitoring, Inc.
  • 12.5 Natus Medical Incorporated
  • 12.6 Compumedics, Ltd
  • 12.7 Blackrock Neurotech Inc
  • 12.8 Medtronic
  • 12.9 Paradromics
  • 12.10 Bitbrain Technologies
  • 12.11 Nihon Kohden Corporation
  • 12.12 Synchron
  • 12.13 NeuroSky Inc
  • 12.14 BrainCo, Inc.
  • 12.15 Mind Technologies, Inc
  • 12.16 Kernel Inc
»ùÇà ¿äû ¸ñ·Ï
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
¸ñ·Ï º¸±â
Àüü»èÁ¦