![]() |
½ÃÀ庸°í¼
»óǰÄÚµå
1798042
¼¼°èÀÇ Ã·´Ü ·Îº¿ ½ÃÀå ¿¹Ãø(-2032³â) : Á¦Ç°º°, ÄÄÆ÷³ÍÆ®º°, ±â¼úº°, ¿ëµµº°, ÃÖÁ¾ »ç¿ëÀÚº°, Áö¿ªº° ºÐ¼®Advanced Robotics Market Forecasts to 2032 - Global Analysis By Product, Component, Technology, Application, End User and By Geography |
Stratistics MRC¿¡ µû¸£¸é ¼¼°èÀÇ Ã·´Ü ·Îº¿ ½ÃÀåÀº 2025³â 569¾ï ´Þ·¯¸¦ Â÷ÁöÇÏ°í ¿¹Ãø ±â°£ µ¿¾È CAGR 19.8%·Î ¼ºÀåÇØ 2032³â¿¡´Â 2,015¾ï ´Þ·¯¿¡ À̸¦ Àü¸ÁÀÔ´Ï´Ù.
÷´Ü ·Îº¿ °øÇÐÀº º¹ÀâÇÑ ÀÛ¾÷À» °íÁ¤¹Ðµµ, ÀûÀÀ¼º, ÀÚÀ²¼ºÀ¸·Î ¼öÇàÇÒ ¼ö ÀÖ´Â Áö´ÉÇü ¸Ó½ÅÀÇ °³¹ß°ú Àü°³ÀÔ´Ï´Ù. ÀÌ ½Ã½ºÅÛÀº ÀΰøÁö´É, ¸Ó½Å·¯´×, °í±Þ ¼¾¼, ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸® µîÀÇ Ã·´Ü ±â¼úÀ» ÅëÇÕÇÏ¿© ¿ªµ¿ÀûÀΠȯ°æ¿¡¼ ÀÛµ¿ÇÕ´Ï´Ù. ±âÁ¸ ·Îº¿°ú´Â ´Þ¸®, °í±Þ ·Îº¿Àº °æÇè¿¡¼ ¹è¿ì°í µ¶¸³ÀûÀ¸·Î ÀÇ»ç °áÁ¤À» ³»¸®°í Àΰ£°ú ¾ÈÀüÇÏ°Ô Çùµ¿ÇÒ ¼ö ÀÖ½À´Ï´Ù. »ý»ê¼º, ¾ÈÀü¼º, ÀÛ¾÷ È¿À²À» ³ôÀ̸é ÀÇ·á, Á¦Á¶, ¹°·ù, Ž»ç µî ¾÷°è¿¡ Çõ¸íÀ» ÀÏÀ¸Å°°í ÀÖ½À´Ï´Ù.
Zippia¿¡ µû¸£¸é ¿©·¯ ·Îº¿ Àü¹®Áö¿¡¼ ¾ð±ÞÇÑ ¹Ù¿Í °°ÀÌ ÇöÀç ¼¼°è ¾à 300¸¸´ëÀÇ »ê¾÷¿ë ·Îº¿ÀÌ °¡µ¿µÇ°í ÀÖÀ¸¸ç ¿¬°£ 40¸¸´ë°¡ »õ·Î µµÀԵǰí ÀÖ´Â °ÍÀ¸·Î ÃßÁ¤µÇ°í ÀÖ½À´Ï´Ù.
¾÷¹« È¿À² Çâ»óÀ» À§ÇÑ Ã·´Ü ·Îº¿ ä¿ë Áõ°¡
±â¾÷Àº ¹Ýº¹ÀûÀ̰í Á¤¹ÐÇϸç À°Ã¼ÀûÀ¸·Î °¡È¤ÇÑ ÀÛ¾÷À» ÀÚµ¿ÈÇϱâ À§ÇØ °í±Þ ·Îº¿ ½Ã½ºÅÛÀ» Àû±ØÀûÀ¸·Î äÅÃÇϰí ÀÖ½À´Ï´Ù. ÀÌ´Â »ý»ê »çÀÌŬÀ» °¡¼ÓÈÇÒ »Ó¸¸ ¾Æ´Ï¶ó ÈÞ¸Õ ¿¡·¯ÀÇ °¡´É¼ºÀ» ÃÖ¼ÒÈÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ È¿À²ÈÀÇ ÃßÁøÀº ·Îº¿¿¡ ÀÇÇØ Á¦Ç°ÀÇ Ç°ÁúÀ̳ª »ý»ê·®À» ´ëÆø °³¼±ÇÒ ¼ö ÀÖ´Â Á¦Á¶¾÷, ÀÚÀ²Çü ·Îº¿¿¡ ÀÇÇØ â°í ÀÛ¾÷À̳ª ÁÖ¹® 󸮸¦ ÇÕ¸®ÈÇÒ ¼ö ÀÖ´Â ¹°·ù¾÷ µîÀÇ ºÐ¾ß¿¡¼ ƯÈ÷ ÇöÀúÇÕ´Ï´Ù. ÀÚµ¿È È®´ë·ÎÀÇ ÀüȯÀº ¼¼°è °æÀï¿¡ ´ëÇÑ Á÷Á¢ÀûÀÎ ´ëÀÀÀÌ¸ç ±â¾÷Àº ÀÚ¿øÀ» ÃÖÀûÈÇÏ°í °æÀï·ÂÀ» À¯ÁöÇØ¾ß ÇÕ´Ï´Ù.
·¹°Å½Ã ½Ã½ºÅÛ°úÀÇ º¹ÀâÇÑ ÅëÇÕ
¸¹Àº ±â¾÷, ƯÈ÷ ±âÁ¸ Á¦Á¶ »ê¾÷Àº ÃֽŠ·Îº¿ °øÇп¡ ÇÊ¿äÇÑ ¿øÈ°ÇÑ ¿¬°á ¹× µ¥ÀÌÅÍ ±³È¯À» À§ÇØ ¼³°èµÇÁö ¾ÊÀº ¿À·¡µÈ ½Ã½ºÅÛ¿¡¼ ÀÛµ¿ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ·¹°Å½Ã ½Ã½ºÅÛÀ» ÷´Ü ·Îº¿¿¡ ¸ÂÃß±â À§ÇØ ¸®³ëº£À̼ÇÇϰųª ¿À¹öȦÇÏ´Â ÇÁ·Î¼¼½º´Â ±â¼úÀûÀ¸·Î ¾î·Æ°í ½Ã°£ÀÌ ¸¹ÀÌ °É¸®°í ¾öû³ ºñ¿ëÀÌ ¼Ò¿äµÉ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÅëÇÕÀÇ ¸¶ÂûÀº ·Îº¿ °øÇÐÀÇ Ã¤¿ëÀ» ´ÊÃß°í, ÀÌ·¯ÇÑ º¯Çõ¿¡ ¼ö¹ÝÇÏ´Â ¾÷¹«»óÀÇ È¥¶õÀ̳ª °íºñ¿ëÀ» ¿ì·ÁÇÏ´Â ÀáÀçÀûÀÎ ±¸¸ÅÀÚ¸¦ ¸Á¼³ÀÌ°Ô ÇÏ´Â °æ¿ì°¡ ¸¹½À´Ï´Ù.
RaaS(¼ºñ½ºÇü ·Îº¿)ÀÇ ÃâÇö
RaaS ¸ðµ¨ÀÇ »ó½ÂÀº ±â¾÷ÀÌ ·Îº¿ ±â¼ú¿¡ Á¢±ÙÇÏ°í µµÀÔÇÏ´Â ¹æ¹ýÀ» À籸¼ºÇϰí ÀÖ½À´Ï´Ù. ±¸µ¶ ±â¹Ý ¼Ö·ç¼ÇÀ» Á¦°øÇÔÀ¸·Î½á RaaS´Â ±â¾÷ÀÌ »ó´çÇÑ Ãʱ⠺ñ¿ëÀ» µéÀÌÁö ¾Ê°í ÀÚµ¿È¸¦ È®´ëÇÒ ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù. ÀÌ Á¢±Ù¹ýÀº À¯¿¬ÇÑ ¹èÆ÷, ¿ø°Ý ¸ð´ÏÅ͸µ ¹× Áö¼ÓÀûÀÎ ¾÷±×·¹À̵带 Áö¿øÇϸç Áß¼Ò±â¾÷°ú ½ÅÈï ±â¾÷À» À§ÇÑ ·Îº¿ °øÇÐÀ» ´õ¿í Ä£¼÷ÇÏ°Ô ¸¸µì´Ï´Ù. Ŭ¶ó¿ìµå ±â¹Ý Ç÷§Æû°ú ¸ðµâ½Ä ¾ÆÅ°ÅØÃ³´Â ´Ù¾çÇÑ ¿ëµµ¿¡ ´ëÇÑ ÀûÀÀ¼ºÀ» ´õ¿í Çâ»ó½Ãŵ´Ï´Ù. ¹ÎøÇÏ°í ºñ¿ë È¿À²ÀûÀÎ ÀÚµ¿È¿¡ ´ëÇѼö¿ä°¡ ³ô¾ÆÁü¿¡ µû¶ó RaaS´Â »õ·Î¿î ¼öÀÍ¿øÀ» È®º¸ÇÏ°í ½ÃÀå ħÅõ¸¦ °¡¼ÓÈÇÒ °ÍÀ¸·Î ±â´ëµÇ°í ÀÖ½À´Ï´Ù.
»çÀ̹ö °ø°Ý¿¡ ´ëÇÑ Ãë¾à¼º
·Îº¿ ½Ã½ºÅÛÀÌ IoT ¹× Ŭ¶ó¿ìµå ³×Æ®¿öÅ©¸¦ ÅëÇØ Á¡Á¡ ¿¬°áµÇ¸é ¿î¿µ ¹× µ¥ÀÌÅÍ ¹«°á¼ºÀ» ¼Õ»ó½ÃŰ´Â »çÀ̹ö º¸¾È À§Çè¿¡ ³ëÃâµË´Ï´Ù. ·Îº¿ Á¦¾î ½Ã½ºÅÛÀ» ¸ñÇ¥·Î ÇÏ´Â ¾ÇÀÇÀûÀÎ °ø°ÝÀº »ý»êÀ» Áß´ÜÇϰųª, Ãâ·ÂÀ» Á¶ÀÛÇϰųª, ±â¹Ð Á¤º¸¸¦ À¯Ãâ½Ãų ¼ö ÀÖ½À´Ï´Ù. ƯÈ÷ AI¿Í ¸Ó½Å·¯´×°ú ÅëÇÕµÈ ´ÙÃþ ±¸Á¶ÀÇ ·Îº¿ ¿¡ÄڽýºÅÛÀ» º¸È£ÇÏ´Â º¹À⼺Àº Å« °úÁ¦°¡ µÇ°í ÀÖ½À´Ï´Ù. °ß°íÇÑ º¸¾È ÇÁ·ÎÅäÄݰú ½Ç½Ã°£ À§Çù °¨Áö°¡ ¾øÀ¸¸é Á¶Á÷Àº Æó¼â, °æÁ¦Àû ¼Õ½Ç ¹× ÆòÆÇ ÇÇÇØ¿¡ Á÷¸éÇÒ ¼ö ÀÖ½À´Ï´Ù.
ÆÒµ¥¹ÍÀº ÷´Ü ·Îº¿ ½ÃÀåÀÇ ÆÄ±«ÀÚÀÌÀÚ µ¿½Ã¿¡ Ã˸Š¿ªÇÒÀ» Çß½À´Ï´Ù. Ãʱ⠰ø±Þ¸Á Áß´Ü ¹× Á¦Á¶ Áß´ÜÀº ¹èÆ÷¸¦ Áö¿¬½ÃŰ°í ±â¼ú Çõ½ÅÀÇ »çÀÌŬÀ» Áö¿¬½ÃÄ×½À´Ï´Ù. ±×·¯³ª ÀÌ À§±â´Â ¶ÇÇÑ ºñÁ¢ÃË ÀÛ¾÷°ú ¿ø°Ý ¸ð´ÏÅ͸µÀÇ Çʿ伺À» °¡¼ÓÈÇϰí ÀÚÀ² ½Ã½ºÅÛ ¼ö¿ä¸¦ ÃËÁøÇß½À´Ï´Ù. ·Îº¿Àº ÀÇ·á, ¹°·ù ¹× À§»ý ºÐ¾ß¿¡¼ Áß¿äÇÑ ¿ªÇÒÀ» ¼öÇàÇßÀ¸¸ç ÃÖÀü¼± ³ë·ÂÀ» Áö¿øÇÏ°í °è¼ÓÇÒ ¼ö ÀÖ°Ô µÇ¾ú½À´Ï´Ù. µðÁöÅÐ Àüȯ°ú °ÀÎÇÑ ÀÎÇÁ¶ó·ÎÀÇ À̵¿À¸·Î ÀÎÇØ ·Îº¿Àº ÆÒ´ë¹Í ÀÌÈÄÀÇ È¸º¹ Àü·«ÀÇ ÇÙ½ÉÀ¸·Î ÀÚ¸®¸Å±èÇϰí ÀÖ½À´Ï´Ù.
¿¹Ãø±â°£ Áß »ê¾÷¿ë ·Îº¿ ºÐ¾ß°¡ ÃÖ´ë°¡ µÉ Àü¸Á
»ê¾÷¿ë ·Îº¿ ºÐ¾ß´Â Á¦Á¶, ÀÚµ¿Â÷, ÀÏ·ºÆ®·Î´Ð½º ºÐ¾ß¿¡¼ ³Î¸® ÀÀ¿ëµÇ°í Àֱ⠶§¹®¿¡ ¿¹Ãø ±â°£ µ¿¾È ÃÖ´ë ½ÃÀå Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ·¯ÇÑ ·Îº¿Àº ¿ëÁ¢, Á¶¸³, ÀÚÀç°ü¸® µîÀÇ ¹Ýº¹ÀûÀÌ°í °íÁ¤¹Ð ÀÛ¾÷À» ¼öÇàÇÏ¿© »ý»ê¼º°ú Àϰü¼ºÀ» Å©°Ô Çâ»ó½Ãŵ´Ï´Ù. AI¿Í ¸Ó½Å ºñÀü°úÀÇ ÅëÇÕÀ¸·Î ¿î¿µÀÇ ÀÎÅÚ¸®Àü½º°¡ °ÈµÇ¾î ´ë·® »ý»ê ȯ°æ¿¡¼´Â ÇʼöÀûÀÎ Á¸Àç°¡ µÇ°í ÀÖ½À´Ï´Ù. ÀÌ ºÐ¾ß´Â Á¤ºÎÀÇ ¿ì´ëÁ¶Ä¡¿Í Àδõ½ºÆ®¸® 4.0 ±¸»ó¿¡ ÁöÁöµÇ¾î ¼±Áø °æÁ¦±¹°¡¿Í ½ÅÈï°æÁ¦±¹ ¸ðµÎ¿¡¼ ¿Õ¼ºÇѼö¿äÀÇ ÇýÅÃÀ» ¹Þ°í ÀÖ½À´Ï´Ù.
ºñÀü °¡ÀÌµå ·Îº¿ ºÐ¾ß´Â ¿¹Ãø ±â°£ Áß °¡Àå ³ôÀº CAGRÀÌ ¿¹»óµÈ´Ù.
¿¹Ãø ±â°£ µ¿¾È ºñÀü °¡ÀÌµå ·Îº¿ ºÐ¾ß´Â ¼±º°, °Ë»ç, Á¶¸³ µîÀÇ º¹ÀâÇÑ ÀÛ¾÷À» ³ôÀº À¯¿¬¼º°ú Á¤¹Ðµµ·Î ¼öÇàÇÒ ¼ö ÀÖ´Â ·Îº¿¿¡ ´ëÇÑ ¿ä±¸°¡ ³ô¾ÆÁü¿¡ µû¶ó °¡Àå ³ôÀº ¼ºÀå·üÀ» ³ªÅ¸³¾ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ºñÀü °¡ÀÌµå ½Ã½ºÅÛÀº Ä«¸Þ¶ó¿Í °í±Þ ÄÄÇ»ÅÍ ºñÀü ¾Ë°í¸®ÁòÀ» Ȱ¿ëÇÏ¿© ·Îº¿ÀÌ È¯°æÀ» µ¿ÀûÀ¸·Î ÀνÄÇÏ°í »óÈ£ÀÛ¿ëÇÒ ¼ö ÀÖ°Ô ÇØÁÖ¸ç ºñ±¸Á¶ÀûÀÎ ÀÛ¾÷ ȯ°æ°ú ²÷ÀÓ¾øÀÌ º¯ÈÇÏ´Â ÀÛ¾÷ ȯ°æ¿¡ ÀÌ»óÀûÀÔ´Ï´Ù.
¿¹Ãø ±â°£ µ¿¾È ¾Æ½Ã¾ÆÅÂÆò¾çÀº Á¤ºÎÀÇ °Å´ëÇÑ Á¦Á¶°ÅÁ¡°ú ÀÚµ¿È¿¡ ´ëÇÑ °·ÂÇÑ Áö¿øÀ¸·Î ÃÖ´ë ½ÃÀå Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. Áß±¹, ÀϺ», Çѱ¹ µîÀÇ ±¹°¡µéÀº »ê¾÷ ÀÚµ¿ÈÀÇ ÃÖÀü¼±¿¡ ÀÖÀ¸¸ç »ý»ê¼ºÀ» ³ôÀ̰í ÀΰǺñ¿¡ ´ëóÇϱâ À§ÇØ ·Îº¿ °øÇп¡ ¸¹Àº ÅõÀÚ¸¦ Çϰí ÀÖ½À´Ï´Ù. ÀÌ Áö¿ªÀÇ ±¤´ëÇÑ ÀüÀÚ±â±â Á¦Á¶ ºÎ¹®°ú ÀÚµ¿Â÷ Á¦Á¶ ºÎ¹®Àº °í±Þ ·Îº¿ ½Ã½ºÅÛÀÇ ÁÖ¿ä ¼ÒºñÀÚÀÔ´Ï´Ù.
¿¹Ãø ±â°£ µ¿¾È ºÏ¹Ì°¡ °¡Àå ³ôÀº CAGRÀ» ³ªÅ¸³¾ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. À̰ÍÀº Çõ½Å¿¡ ´ëÇÑ °ÇÑ °ü½É°ú ±Þ¼ºÀåÇÏ´Â '¼ºñ½º·Î¼ÀÇ ·Îº¿' »ýŰ迡 ÈûÀÔ¾î ¿Ô½À´Ï´Ù. ÀÌ Áö¿ªÀÇ °ß°íÇÑ R&D ´É·ÂÀº ·Îº¿ ½ÅÈï±â¾÷°ú ÇÏÀÌÅ×Å© ±â¾÷ÀÇ ÁýÀû°ú ÇÔ²² Â÷¼¼´ë ·Îº¿ ¼Ö·ç¼ÇÀÇ Ã¢ÃâÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù. °Ô´Ù°¡ ÀÇ·á, ¹°·ù, ÀüÀÚ»ó°Å·¡ µîÀÇ ºÐ¾ß¿¡¼ÀÇ ÀÚµ¿È¼ö¿ä Áõ°¡¿Í RaaS¿Í °°Àº À¯¿¬ÇÑ ºñÁî´Ï½º ¸ðµ¨ÀÇ Ã¤¿ë ÀÇ¿åÀÌ ÇÔ²² ½ÃÀåÀÇ ¼ºÀåÀÌ °¡¼Óȵǰí ÀÖ½À´Ï´Ù.
According to Stratistics MRC, the Global Advanced Robotics Market is accounted for $56.9 billion in 2025 and is expected to reach $201.5 billion by 2032 growing at a CAGR of 19.8% during the forecast period. Advanced robotics are the development and deployment of intelligent machines capable of performing complex tasks with high precision, adaptability, and autonomy. These systems integrate cutting-edge technologies such as artificial intelligence, machine learning, advanced sensors, and real-time data processing to operate in dynamic environments. Unlike traditional robots, advanced robots can learn from experience, make decisions independently, and collaborate safely with humans. They are revolutionizing industries including healthcare, manufacturing, logistics, and exploration by enhancing productivity, safety, and operational efficiency
According to Zippia and referenced in multiple robotics journals, there are approximately 3 million industrial robots currently in operation worldwide, with an estimated 400,000 new units being deployed annually
Increasing adoption of advanced robotics to enhance operational efficiency
Businesses are aggressively adopting sophisticated robotic systems to automate repetitive, precise, and physically demanding tasks, which not only accelerates production cycles but also minimizes the potential for human error. This drive for efficiency is especially prominent in sectors like manufacturing, where robotics can significantly improve product quality and output, and in logistics, where autonomous robots streamline warehouse operations and order fulfillment. The shift towards greater automation is a direct response to global competition and the need for companies to optimize their resources and maintain a competitive edge.
Complex integration with legacy systems
Many businesses, particularly those in traditional manufacturing, operate with older systems that were not designed for the seamless connectivity and data exchange required by modern robotics. The process of retrofitting or overhauling these legacy systems to accommodate advanced robots can be technically challenging, time-consuming, and prohibitively expensive. This integration friction often delays the adoption of robotics and can deter potential buyers who are concerned about the operational disruptions and high costs associated with such a transformation.
Emergence of "robotics as a service" (RaaS)
The rise of RaaS models is reshaping how businesses access and deploy robotic technologies. By offering subscription-based solutions, RaaS enables organizations to scale automation without heavy upfront costs. This approach supports flexible deployment, remote monitoring, and continuous upgrades, making robotics more accessible to SMEs and startups. Cloud-based platforms and modular architectures further enhance adaptability across diverse applications. As demand for agile and cost-effective automation grows, RaaS is expected to unlock new revenue streams and accelerate market penetration.
Vulnerability to cyber-attacks
As robotics systems become increasingly connected through IoT and cloud networks, they are exposed to cybersecurity risks that can compromise operations and data integrity. Malicious attacks targeting robotic control systems can disrupt production, manipulate outputs, or leak sensitive information. The complexity of securing multi-layered robotic ecosystems especially those integrated with AI and machine learning poses a significant challenge. Without robust security protocols and real-time threat detection, organizations may face operational downtime, financial losses, and reputational damage.
The pandemic acted as both a disruptor and a catalyst for the advanced robotics market. Initial supply chain interruptions and manufacturing halts delayed deployments and slowed innovation cycles. However, the crisis also accelerated the need for contactless operations and remote monitoring, driving demand for autonomous systems. Robotics played a critical role in healthcare, logistics, and sanitation, supporting frontline efforts and enabling continuity. The shift toward digital transformation and resilient infrastructure has positioned robotics as a cornerstone of post-pandemic recovery strategies.
The industrial robotics segment is expected to be the largest during the forecast period
The industrial robotics segment is expected to account for the largest market share during the forecast period due to its widespread application in manufacturing, automotive, and electronics sectors. These robots perform repetitive and high-precision tasks such as welding, assembly, and material handling, significantly improving productivity and consistency. Their integration with AI and machine vision enhances operational intelligence, making them indispensable in high-volume production environments. The segment benefits from strong demand in both developed and emerging economies, supported by government incentives and industry 4.0 initiatives.
The vision-guided robotics segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the vision-guided robotics segment is predicted to witness the highest growth rate driven by the increasing need for robots that can perform complex tasks with a high degree of flexibility and precision, such as sorting, inspection, and assembly. Vision-guided systems, which utilize cameras and advanced computer vision algorithms, allow robots to perceive and interact with their environment dynamically, making them ideal for unstructured or constantly changing work environments.
During the forecast period, the Asia Pacific region is expected to hold the largest market share attributed to its immense manufacturing base and strong governmental support for automation. Countries like China, Japan, and South Korea are at the forefront of industrial automation, with significant investments in robotics to boost productivity and address labor costs. The region's vast electronics and automotive manufacturing sectors are major consumers of advanced robotic systems.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR fueled by a strong focus on technological innovation and a burgeoning "Robotics as a Service" ecosystem. The region's robust research and development capabilities, coupled with a high concentration of robotics startups and tech companies, are driving the creation of next-generation robotic solutions. Additionally, the increasing demand for automation in sectors like healthcare, logistics, and e-commerce, combined with a willingness to adopt flexible business models like RaaS, is accelerating market growth.
Key players in the market
Some of the key players in Advanced Robotics Market include ABB Ltd, Fanuc Corporation, Yaskawa Electric Corporation, KUKA AG, Mitsubishi Electric, Doosan Robotics, Denso Corporation, Staubli Robotics, Universal Robots, Symbotic Inc., Roborock, UBTECH Robotics, THK Co., Ltd., ATS Automation, Estun Automation, PROCEPT BioRobotics, Exail Technologies, Amano Corporation, Serve Robotics and Nachi-Fujikoshi Corp.
In June 2025, Universal Robots launched the UR15 cobot at Automate calling it its fastest collaborative robot and available for order with June shipping. They announced UR Studio, an online simulation tool built on PolyScope X to simplify robot-cell customization.
In June 2025, Staubli Robotics announced expansion of its North American manufacturing footprint to begin production of IT cooling connectors in Duncan, SC. It also published 2025 product and software news (Robotics Suite 2025) and confirmed 2025 trade show presence (K/Automatica).
In April 2025, Doosan Robotics announced an AI-driven innovation strategy in 2025 detailing a shift toward intelligent robot solutions and accelerated humanoid R&D. The statement framed 2025 as a transformational year, including new product roadmaps and internal organizational initiatives.