¼¼°èÀÇ Ã»¼Ò ·Îº¿ ½ÃÀå
Cleaning Robot
»óǰÄÚµå : 1768237
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2025³â 07¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 212 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 5,850 £Ü 8,222,000
PDF (Single User License) help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â °¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 17,550 £Ü 24,666,000
PDF (Global License to Company and its Fully-owned Subsidiaries) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â °¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


Çѱ۸ñÂ÷

¼¼°èÀÇ Ã»¼Ò ·Îº¿ ½ÃÀåÀº 2030³â±îÁö ¹Ì±¹¿¡¼­ 725¾ï ´Þ·¯¿¡ ´ÞÇÒ Àü¸Á

2024³â¿¡ 251¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ¼¼°èÀÇ Ã»¼Ò ·Îº¿ ½ÃÀåÀº 2024-2030³â¿¡ CAGR 19.3%·Î ¼ºÀåÇϸç, 2030³â¿¡´Â 725¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ ¸®Æ÷Æ®¿¡¼­ ºÐ¼®Çϰí ÀÖ´Â ºÎ¹®ÀÇ ÇϳªÀÎ ÆÛ½º³ÎÀº CAGR 17.7%¸¦ ±â·ÏÇϸç, ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 420¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. Àü¹® ºÎ¹®ÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£ Áß CAGR 21.8%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 72¾ï ´Þ·¯·Î ÃßÁ¤, Áß±¹Àº CAGR 18.8%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ Ã»¼Ò ·Îº¿ ½ÃÀåÀº 2024³â¿¡ 72¾ï ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ÀÇ °æÁ¦´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 113¾ï ´Þ·¯ÀÇ ½ÃÀå ±Ô¸ð¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³âÀÇ CAGRÀº 18.8%ÀÔ´Ï´Ù. ±âŸ ÁÖ¸ñÇÒ ¸¸ÇÑ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖÀ¸¸ç, ºÐ¼® ±â°£ Áß CAGRÀº °¢°¢ 16.5%¿Í 16.0%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR ¾à 13.0%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°èÀÇ Ã»¼Ò ·Îº¿ ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

û¼Ò ·Îº¿ÀÌ Çö´ë °¡Á¤°ú ±â¾÷¿¡ ÇʼöÀûÀÎ Á¸Àç°¡ µÇ°í ÀÖ´Â ÀÌÀ¯´Â ¹«¾ùÀΰ¡?

û¼Ò ·Îº¿Àº Æí¸®¼º, È¿À²¼º, ÀÚÀ²ÀûÀ¸·Î ÀÏ»óÀûÀΠû¼Ò ÀÛ¾÷À» ¼öÇàÇÒ ¼ö ÀÖ´Â ´É·ÂÀ¸·Î ÀÎÇØ Âü½ÅÇÔ¿¡¼­ ÁÖ°Å ¹× »ó¾÷ ȯ°æ ¸ðµÎ¿¡¼­ ÇʼöÀûÀÎ Åø·Î ºü¸£°Ô ÀüȯµÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Àåºñ´Â »ç¶÷ÀÇ Áö¼ÓÀûÀÎ ¸ð´ÏÅ͸µ ¾øÀ̵µ °¡Á¤°ú Á÷ÀåÀ» ±ú²ýÇÏ°Ô À¯ÁöÇÒ ¼ö ÀÖ´Â ÀÚµ¿È­µÈ ³ëµ¿·Â Àý°¨ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÔ¿¡ µû¶ó Àα⸦ ¾ò°í ÀÖ½À´Ï´Ù. ¹Ù»Û °¡Á¤, ƯÈ÷ ¸Â¹úÀÌ °¡Á¤ÀÇ °æ¿ì, û¼Ò ·Îº¿Àº ÃÖ¼ÒÇÑÀÇ ³ë·ÂÀ¸·Î û°áÀ» À¯ÁöÇÒ ¼ö ÀÖ´Â ½Ç¿ëÀûÀÎ ¼Ö·ç¼ÇÀÌ µÉ ¼ö ÀÖ½À´Ï´Ù. »ó¾÷ ȯ°æ¿¡¼­´Â È£ÅÚ, º´¿ø, °øÇ×, ¼Ò¸ÅÁ¡ µî ÀϰüµÈ À§»ý °ü¸®°¡ ÇʼöÀûÀÎ °÷¿¡¼­ û¼Ò ·Îº¿ÀÇ »ç¿ëÀÌ Áõ°¡Çϰí ÀÖÀ¸¸ç, COVID-19 ÆÒµ¥¹ÍÀ¸·Î ÀÎÇØ û°áÀÇ Á߿伺ÀÌ ´õ¿í ºÎ°¢µÇ¸é¼­ »ç¶÷ÀÇ °³ÀÔÀ» ÃÖ¼ÒÈ­Çϰí ÀÌÂ÷ ¿À¿°ÀÇ À§ÇèÀ» ÁÙÀÌ´Â ÀÚµ¿ û¼Ò ¼Ö·ç¼ÇÀÇ Ã¤ÅÃÀÌ °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. °¡¼ÓÈ­Çß½À´Ï´Ù. ¶ÇÇÑ µµ½ÃÈ­¿Í ½º¸¶Æ®È¨ÀÇ ºÎ»óÀ¸·Î ¼ÒºñÀÚÀÇ ±â´ëÄ¡°¡ °è¼Ó ³ô¾ÆÁö´Â °¡¿îµ¥, û¼Ò ·Îº¿Àº °¡Á¤°ú ±â¾÷¿¡¼­ Çö´ëÀÎÀÇ ¶óÀÌÇÁ½ºÅ¸ÀÏ¿¡ ¸Â´Â È¿À²ÀûÀÌ°í ½Ã°£À» Àý¾àÇÒ ¼ö ÀÖ´Â °¡ÀüÁ¦Ç°À¸·Î ¹Þ¾Æµé¿©Áö°í ÀÖ½À´Ï´Ù.

±â¼úÀÇ ¹ßÀüÀº û¼Ò ·Îº¿ÀÇ ´É·ÂÀ» ¾î¶»°Ô Çâ»ó½Ã۰í Àִ°¡?

û¼Ò ·Îº¿ ½ÃÀåÀº ±â¼úÀÇ ±Þ¼ÓÇÑ ¹ßÀüÀ¸·Î û¼Ò ·Îº¿ÀÇ È¿À²¼º°ú ±â´É¼ºÀÌ ¸ðµÎ Çâ»óµÇ°í ÀÖ½À´Ï´Ù. ÀΰøÁö´É(AI)°ú ¸Ó½Å·¯´×(ML)ÀÇ Çõ½ÅÀº ÀÌ·¯ÇÑ ÁøÈ­ÀÇ Á߽ɿ¡ ÀÖÀ¸¸ç, ·Îº¿ÀÌ ÁÖº¯ ȯ°æÀ» ¸ÅÇÎÇϰí, Àå¾Ö¹°À» ÀνÄÇϰí, ÃÖÀûÀÇ Ã»¼Ò °æ·Î¸¦ Á¤È®ÇÏ°Ô ÇнÀÇÒ ¼ö ÀÖ°Ô ÇØÁÝ´Ï´Ù. ÀÌ·¯ÇÑ ±â¼úÀ» ÅëÇØ ½Ç½Ã°£ ÀûÀÀÇü ³»ºñ°ÔÀ̼ÇÀÌ °¡´ÉÇØÁ® û¼Ò ·Îº¿ÀÌ °¡±¸³ª º®°ú °°Àº Àå¾Ö¹°À» ¿øÈ°ÇÏ°Ô È¸ÇÇÇÒ ¼ö ÀÖ°Ô µË´Ï´Ù. ¶ÇÇÑ ¾Ë·º»ç, ±¸±Û Ȩ µî À½¼ººñ¼­ µî ½º¸¶Æ®È¨ ½Ã½ºÅÛ°úÀÇ ÅëÇÕÀ» ÅëÇØ °£´ÜÇÑ À½¼º ¸í·ÉÀ¸·Î û¼Ò ·Îº¿À» Á¶ÀÛÇÒ ¼ö ÀÖÀ¸¸ç, »ç¿ëÀÚÀÇ ÆíÀǼºÀÌ Çâ»óµÇ°í ÀÖ½À´Ï´Ù. ¼¾¼­ ±â¼úµµ Å©°Ô ¹ßÀüÇÏ¿© Ãֱ٠û¼Ò ·Îº¿¿¡´Â ¸ÕÁö, ½Àµµ, Ç¥¸éÀ» °¨ÁöÇÏ´Â ¼¾¼­°¡ žÀçµÇ¾î ¹Ù´ÚÀÇ À¯Çü°ú ¿À¿° Á¤µµ¿¡ µû¶ó ÈíÀԷ°ú û¼Ò ¸ðµå¸¦ Á¶ÀýÇÒ ¼ö ÀÖ½À´Ï´Ù. ½À½Ä ¹× °Ç½Ä ±â´É, ¼¿ÇÁ ºó ¸ÕÁöÅë, ÀÚµ¿ ÃæÀü ¹× Àç½ÃÀÛ ±â´ÉÀÇ °³¹ß·Î ±× ÆíÀǼºÀº ´õ¿í Çâ»óµÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±â¼úÀÇ ¹ßÀüÀº û¼Ò ·Îº¿ÀÇ È¿À²¼ºÀ» Çâ»ó½ÃÄ×À» »Ó¸¸ ¾Æ´Ï¶ó, û¼Ò ·Îº¿ÀÇ ¹ü¿ë¼ºÀ» È®´ëÇÏ¿© ´õ ³ÐÀº ȯ°æ°ú ´õ ±î´Ù·Î¿î û¼Ò ÀÛ¾÷¿¡ ÀûÇÕÇÏ°Ô ¸¸µé¾ú½À´Ï´Ù.

û¼Ò ·Îº¿ ¼ö¿ä Áõ°¡¸¦ ÁÖµµÇÏ´Â ºñÁÖ°Å ºÐ¾ß´Â?

û¼Ò ·Îº¿Àº Ãʱ⿡´Â ÁÖ°Å ºÐ¾ß¿¡¼­ Àα⸦ ¾ò¾úÁö¸¸, È¿À²¼º°ú ÀϰüµÈ û¼Ò ±âÁØÀ» º¸ÀåÇÏ´Â ´É·ÂÀ¸·Î ÀÎÇØ ´Ù¾çÇÑ ºñÁÖ°Å ºÐ¾ß¿¡¼­ äÅÃÀÌ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ¿¹¸¦ µé¾î ÇコÄÉ¾î ºÐ¾ß¿¡¼­´Â º´¿ø ¹× Ŭ¸®´Ð¿¡¼­ UV°¡ ÀåÂøµÈ û¼Ò ·Îº¿À» »ç¿ëÇÏ¿© ƯÈ÷ Á¢ÃË ºóµµ°¡ ³ôÀº °÷ÀÇ Ç¥¸éÀ» ¼Òµ¶ÇÏ¿© °¨¿° À§ÇèÀ» ÁÙÀÔ´Ï´Ù. ¶ÇÇÑ È£ÅÚÀ̳ª ·¹½ºÅä¶û°ú °°Àº Á¢°´ »ê¾÷¿¡¼­´Â û¼Ò ·Îº¿À» µµÀÔÇÏ¿© À¯Áöº¸¼ö ÀÛ¾÷À» È¿À²È­Çϰí ÀΰǺñ¸¦ Àý°¨ÇÏ´Â µ¿½Ã¿¡ Åõ¼÷°´¿¡°Ô ³ôÀº ¼öÁØÀÇ Ã»°áÀ» Á¦°øÇÕ´Ï´Ù. û°áÇÔ°ú ¹Ì°üÀÌ °í°´ °æÇè¿¡ ÇʼöÀûÀÎ ¼Ò¸Å¾÷°ú ¼îÇθô¿¡¼­´Â ¹Ù´Ú û¼Ò ·Îº¿À» µµÀÔÇÏ¿© À§»ýÀ» À¯ÁöÇϸ鼭 ¿î¿µ È¿À²À» ³ôÀ̰í ÀÖ½À´Ï´Ù. °øÇ×, â°í, Á¦Á¶ ½Ã¼³Àº û¼Ò ·Îº¿¿¡ ´ëÇÑ ¼ö¿ä°¡ ³ôÀº ¶Ç ´Ù¸¥ ¿¹ÀÔ´Ï´Ù. û¼Ò ·Îº¿Àº ±ú²ýÇÏ°í ¾ÈÀüÇÑ È¯°æÀ» À¯ÁöÇÏ´Â µ¥ µµ¿òÀÌ µÇ¸ç, ƯÈ÷ ¹Ù´Ú ¸éÀûÀÌ ³Ð°í ÀæÀº À¯Áöº¸¼ö°¡ ÇÊ¿äÇÑ ±¸¿ª¿¡¼­ ƯÈ÷ È¿°úÀûÀÔ´Ï´Ù. ÀÌ·¯ÇÑ ºñÁְŠȯ°æ¿¡¼­ÀÇ »ç¿ë È®´ë´Â À§»ý°ú È¿À²¼ºÀ» ¿ì¼±½ÃÇÏ´Â »ê¾÷ Àü¹Ý¿¡¼­ û¼Ò ·Îº¿ÀÇ ¹ü¿ë¼º°ú Çʿ伺ÀÌ Áõ°¡Çϰí ÀÖÀ¸¸ç, »ç¶÷ÀÌ Ç×»ó °ü¿©ÇÒ ÇÊ¿ä ¾øÀÌ ÀϰüµÈ °íǰÁú û¼Ò Ç¥ÁØÀ» Áö¿øÇÏ´Â ¿ªÇÒÀ» °­Á¶Çϰí ÀÖ½À´Ï´Ù.

û¼Ò ·Îº¿ ½ÃÀåÀÇ ¼ºÀå ¿øµ¿·ÂÀº?

û¼Ò ·Îº¿ ½ÃÀåÀÇ ¼ºÀåÀº AI ¹× ¼¾¼­ ±â¼úÀÇ ¹ßÀü, À§»ý¿¡ ´ëÇÑ °ü½É Áõ°¡, ÀÚµ¿È­¿¡ ´ëÇÑ ¼ÒºñÀÚ ¼±È£µµ º¯È­ µî ¿©·¯ °¡Áö ¿äÀο¡ ÀÇÇØ ÀÌ·ç¾îÁö°í ÀÖÀ¸¸ç, AI¿Í ¼¾¼­ ÅëÇÕÀÇ ±â¼ú ¹ßÀüÀ¸·Î û¼Ò ·Îº¿ÀÌ º¹ÀâÇÑ °ø°£À» Ž»öÇϰí, û¼Ò ÆÐÅÏÀ» ½Äº°Çϰí, ´Ù¾çÇÑ ¹Ù´Ú À¯Çü ¹× û¼Ò ¿ä±¸ »çÇ׿¡ ÀûÀÀÇÒ ¼ö ÀÖ°Ô µÇ¾î ±â´É¼º°ú ¸Å·Âµµ°¡ Å©°Ô Çâ»óµÇ¾ú½À´Ï´Ù. ´Ù¾çÇÑ ¹Ù´Ú À¯Çü ¹× û¼Ò ¿ä±¸ »çÇ׿¡ ÀûÀÀÇÒ ¼ö ÀÖ°Ô µÇ¾î ±× ±â´É¼º°ú ¸Å·Âµµ°¡ Å©°Ô Çâ»óµÇ¾ú½À´Ï´Ù. ƯÈ÷ COVID-19 ÆÒµ¥¹ÍÀ¸·Î ÀÎÇØ À§»ý¿¡ ´ëÇÑ ÀνÄÀÌ ³ô¾ÆÁö¸é¼­ ¼ÒºñÀÚ¿Í ±â¾÷ÀÌ ¼öÀÛ¾÷À» ÃÖ¼ÒÈ­Çϰí û°áÀ» À¯ÁöÇÏ´Â °ÍÀ» ¿ì¼±½ÃÇÏ°Ô µÇ¸é¼­ ÁÖ°Å ¹× »ó¾÷ ºÐ¾ß ¸ðµÎ¿¡¼­ ¼ö¿ä¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ƯÈ÷ ¹Ù»Û ¶óÀÌÇÁ½ºÅ¸ÀÏ·Î ÀÎÇØ ÀÏ»óÀûÀΠû¼Ò°¡ ¾î·Á¿î µµ½Ã Áö¿ª¿¡¼­´Â Æí¸®¼ºÀ» ³ô¿©ÁÖ´Â ½º¸¶Æ®ÇÑ ÀÚµ¿È­ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ÒºñÀÚÀÇ ¼±È£µµ°¡ Á¡Á¡ ´õ ³ô¾ÆÁö°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ ½º¸¶Æ®È¨ÀÇ µîÀåÀ¸·Î û¼Ò ·Îº¿Àº ´Ù¸¥ IoT Áö¿ø ±â±â¿ÍÀÇ ¿øÈ°ÇÑ ÅëÇÕ°ú µ¿±âÈ­°¡ °¡´ÉÇØÁ® ±â´ÉÀÌ ´õ¿í Çâ»óµÇ°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ ÇコÄɾî, Á¢°´¾÷, ¼Ò¸Å¾÷°ú °°Àº ºñÁÖ°Å¿ë ºÐ¾ß¿¡¼­´Â À§»ý ±âÁØ À¯Áö¿Í ÀΰǺñ ÃÖÀûÈ­¸¦ À§ÇØ Ã»¼Ò ·Îº¿ÀÇ µµÀÔÀÌ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ãß¼¼¸¦ Á¾ÇÕÇØ º¼ ¶§, ±â¼ú Çâ»ó°ú ¿ëµµ È®´ë°¡ ´Ù¾çÇÑ ºÐ¾ß¿¡¼­ÀÇ Ã¤ÅÃÀ» Áö¼ÓÀûÀ¸·Î ÃËÁøÇÔ¿¡ µû¶ó û¼Ò ·Îº¿ ½ÃÀåÀº Å« ¼ºÀå ÀáÀç·ÂÀ» °¡Áö°í ÀÖ½À´Ï´Ù.

ºÎ¹®

Á¦Ç° À¯Çü(°³Àοë, »ó¾÷¿ë); Á¦Ç°(»ó¿ë û¼Ò ·Îº¿, Àܵð¿ë û¼Ò ·Îº¿, Ç®¿ë û¼Ò ·Îº¿, â¿ë û¼Ò ·Îº¿, ±âŸ Á¦Ç°); ¿ëµµ(ÁÖÅÿë, »ó¾÷¿ë, »ê¾÷¿ë, ±âŸ ¿ëµµ)

Á¶»ç ´ë»ó ±â¾÷ÀÇ ¿¹

AI ÅëÇÕ

Global Industry Analysts´Â À¯È¿ÇÑ Àü¹®°¡ ÄÁÅÙÃ÷¿Í AI Åø¿¡ ÀÇÇØ ½ÃÀå Á¤º¸¿Í °æÀï Á¤º¸¸¦ º¯ÇõÇϰí ÀÖ½À´Ï´Ù.

Global Industry Analysts´Â LLM³ª ¾÷°è °íÀ¯ SLM¸¦ Á¶È¸ÇÏ´Â ÀϹÝÀûÀÎ ±Ô¹ü¿¡ µû¸£´Â ´ë½Å¿¡, ºñµð¿À ±â·Ï, ºí·Î±×, °Ë»ö ¿£Áø Á¶»ç, ¹æ´ëÇÑ ¾ç ±â¾÷, Á¦Ç°/¼­ºñ½º, ½ÃÀå µ¥ÀÌÅÍ µî, Àü ¼¼°è Àü¹®°¡·ÎºÎÅÍ ¼öÁýÇÑ ÄÁÅÙÃ÷ ¸®Æ÷ÁöÅ丮¸¦ ±¸ÃàÇß½À´Ï´Ù.

°ü¼¼ ¿µÇâ °è¼ö

Global Industry Analysts´Â º»»çÀÇ ±¹°¡, Á¦Á¶°ÅÁ¡, ¼öÃâÀÔ(¿ÏÁ¦Ç° ¹× OEM)À» ±â¹ÝÀ¸·Î ±â¾÷ÀÇ °æÀï·Â º¯È­¸¦ ¿¹ÃøÇß½À´Ï´Ù. ÀÌ·¯ÇÑ º¹ÀâÇÏ°í ´Ù¸éÀûÀÎ ½ÃÀå ¿ªÇÐÀº ¼öÀÔ¿ø°¡(COGS) Áõ°¡, ¼öÀͼº °¨¼Ò, °ø±Þ¸Á ÀçÆí µî ¹Ì½ÃÀû ¹× °Å½ÃÀû ½ÃÀå ¿ªÇÐ Áß¿¡¼­µµ ƯÈ÷ °æÀï»çµé¿¡°Ô ¿µÇâÀ» ¹ÌÄ¥ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý

Á¦2Àå °³¿ä

Á¦3Àå ½ÃÀå ºÐ¼®

Á¦4Àå °æÀï

KSA
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Global Cleaning Robot Market to Reach US$72.5 Billion by 2030

The global market for Cleaning Robot estimated at US$25.1 Billion in the year 2024, is expected to reach US$72.5 Billion by 2030, growing at a CAGR of 19.3% over the analysis period 2024-2030. Personal, one of the segments analyzed in the report, is expected to record a 17.7% CAGR and reach US$42.0 Billion by the end of the analysis period. Growth in the Professional segment is estimated at 21.8% CAGR over the analysis period.

The U.S. Market is Estimated at US$7.2 Billion While China is Forecast to Grow at 18.8% CAGR

The Cleaning Robot market in the U.S. is estimated at US$7.2 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$11.3 Billion by the year 2030 trailing a CAGR of 18.8% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 16.5% and 16.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 13.0% CAGR.

Global Cleaning Robot Market - Key Trends & Drivers Summarized

Why Are Cleaning Robots Becoming Essential for Modern Households and Businesses?

Cleaning robots have rapidly transitioned from novelty items to essential tools in both residential and commercial settings, driven by their convenience, efficiency, and ability to tackle routine cleaning tasks autonomously. These devices have gained popularity due to the increasing demand for automated, labor-saving solutions that can keep homes and workplaces clean without requiring constant human oversight. For busy households, especially those with dual-income earners, cleaning robots provide a practical solution for maintaining cleanliness with minimal effort. In commercial settings, cleaning robots are increasingly used in hotels, hospitals, airports, and retail spaces where consistent hygiene is essential. The COVID-19 pandemic further underscored the importance of cleanliness, accelerating the adoption of automated cleaning solutions to minimize human intervention and reduce the risk of cross-contamination. Furthermore, as urbanization and the rise of smart homes continue to shape consumer expectations, cleaning robots have found a foothold in homes and businesses alike, with growing acceptance as efficient, time-saving appliances that adapt to modern lifestyles.

How Are Technological Advancements Enhancing the Capabilities of Cleaning Robots?

The cleaning robot market is witnessing rapid advancements in technology, which have enhanced both the efficiency and functionality of these devices. Innovations in artificial intelligence (AI) and machine learning (ML) are central to this evolution, enabling robots to map their surroundings, recognize obstacles, and learn optimal cleaning paths with precision. These technologies allow for real-time adaptive navigation, ensuring cleaning robots can maneuver around furniture, walls, and other obstacles seamlessly. Furthermore, integration with smart home systems, such as voice-activated assistants like Alexa or Google Home, has made it possible for users to control cleaning robots through simple voice commands, enhancing user convenience. Sensor technology has also advanced significantly; modern cleaning robots are equipped with sensors for dust, humidity, and surface detection, allowing them to adjust suction power and cleaning modes based on floor type and dirt levels. The development of wet-and-dry functionality, self-emptying dustbins, and automatic recharging and resumption features has further enhanced their convenience. These technological strides have not only increased the effectiveness of cleaning robots but have also expanded their versatility, making them suitable for a wider range of environments and more demanding cleaning tasks.

Which Non-Residential Sectors Are Driving the Growing Demand for Cleaning Robots?

While cleaning robots initially gained popularity in the residential sector, they are increasingly being adopted across various non-residential sectors due to their efficiency and ability to ensure consistent cleaning standards. In healthcare, for example, hospitals and clinics are using UV-equipped cleaning robots to disinfect surfaces and reduce infection risks, particularly in high-touch areas. The hospitality industry, including hotels and restaurants, has also embraced cleaning robots to streamline maintenance tasks, ensuring high standards of cleanliness for guests while reducing labor costs. Retail and shopping malls, where cleanliness and aesthetics are integral to customer experience, are deploying floor-cleaning robots to ensure uninterrupted hygiene and enhance operational efficiency. Airports, warehouses, and manufacturing facilities are further examples where cleaning robots are in high demand, as they help maintain clean and safe environments, especially in areas with large floor spaces that require frequent maintenance. These expanding applications in non-residential settings underscore the growing versatility and necessity of cleaning robots across industries that prioritize hygiene and efficiency, highlighting their role in supporting consistent, high-quality cleaning standards without the need for constant human involvement.

What’s Driving Growth in the Cleaning Robot Market?

The growth in the cleaning robot market is driven by several factors, including advancements in AI and sensor technology, the increasing emphasis on hygiene, and shifting consumer preferences toward automation. Technological advancements in AI and sensor integration have enabled cleaning robots to navigate complex spaces, identify cleaning patterns, and adjust to different floor types and cleaning requirements, greatly improving their functionality and appeal. The heightened awareness around hygiene, especially in the wake of the COVID-19 pandemic, has also spurred demand across both residential and commercial sectors, as consumers and businesses prioritize cleanliness with minimal manual intervention. Consumer preferences are increasingly shifting toward smart, automated solutions that enhance convenience, especially in urban areas where busy lifestyles make routine cleaning challenging. The rise of smart homes has also created a seamless integration for cleaning robots, allowing them to sync with other IoT-enabled devices, further enhancing their functionality. Additionally, non-residential applications, including healthcare, hospitality, and retail, are increasingly deploying cleaning robots to uphold hygiene standards and optimize labor costs. Together, these trends indicate strong growth potential for the cleaning robot market as technological improvements and expanding applications continue to drive adoption across diverse sectors.

SCOPE OF STUDY:

The report analyzes the Cleaning Robot market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Type (Personal, Professional); Product (Floor Cleaning Robot, Lawn Cleaning Robot, Pool Cleaning Robot, Window Cleaning Robot, Other Products); Application (Residential, Commercial, Industrial, Other Applications)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 23 Featured) -

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

(ÁÖ)±Û·Î¹úÀÎÆ÷¸ÞÀÌ¼Ç 02-2025-2992 kr-info@giikorea.co.kr
¨Ï Copyright Global Information, Inc. All rights reserved.
PC¹öÀü º¸±â