½ÃÀ庸°í¼­
»óǰÄÚµå
1587695

¼¼°èÀÇ ·Îº¿ ¿ëÁ¢ ½ÃÀå ¿¹Ãø : ÄÄÆ÷³ÍÆ®º°, À¯Çüº°, ÃÖÁ¾ »ç¿ëÀÚº°, Áö¿ªº° ºÐ¼®(-2030³â)

Robotic Welding Market Forecasts to 2030 - Global Analysis By Component, Type, 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 ·Îº¿ ¿ëÁ¢ ½ÃÀåÀº 2024³â¿¡ 102¾ï ´Þ·¯·Î ÃßÁ¤µÇ°í, ¿¹Ãø ±â°£ Áß CAGRÀº 12.7%·Î ¼ºÀåÇÒ Àü¸ÁÀ̸ç, 2030³â¿¡´Â 208¾ï ´Þ·¯¿¡ À̸¦ Àü¸ÁÀÔ´Ï´Ù.

·Îº¿ ¿ëÁ¢Àº ¿ëÁ¢ ÀÛ¾÷À» ¼öÇàÇϱâ À§ÇØ ·Îº¿ ½Ã½ºÅÛÀ» ä¿ëÇÏ´Â ÀÚµ¿È­ ÇÁ·Î¼¼½º·Î, Á¦Á¶ÀÇ È¿À²°ú Á¤¹Ðµµ¸¦ ´ëÆø Çâ»ó½Ãŵ´Ï´Ù. ÇÁ·Î±×·¡¸Óºí ·ÎÁ÷ ÄÁÆ®·Ñ·¯(PLC)¿Í ÀΰøÁö´É µî ÷´Ü ±â¼úÀ» Ȱ¿ëÇÏ´Â ·Îº¿ ¿ëÁ¢ ½Ã½ºÅÛÀº ³ôÀº ÀçÇö¼º°ú ÃÖ¼ÒÇÑÀÇ ÀÎÀû °³ÀÔÀ¸·Î º¹ÀâÇÑ ¿ëÁ¢À» ¼öÇàÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ·Îº¿¿¡´Â MIG, TIG, ½ºÆý ¿ëÁ¢±â µî ´Ù¾çÇÑ ¿ëÁ¢ µµ±¸°¡ ÀåÂøµÇ¾î ÀÖ¾î ´Ù¾çÇÑ Àç·á¿Í ±¸¼ºÀ¸·Î ÀÛ¾÷ÇÒ ¼ö ÀÖ½À´Ï´Ù.

¿Á½ºÆ÷µå ÀÌÄÚ³ë¹Í½º°¡ ¹ßÇ¥ÇÑ º¸°í¼­¿¡ µû¸£¸é, ¼¼°è¿¡¼­ »ç¿ëµÈ ·Îº¿ÀÇ ¼ö´Â Áö³­ 20³â°£ 3¹èÀÎ 225¸¸´ë¿¡ ´ÞÇß½À´Ï´Ù.

Àδõ½ºÆ®¸® 4.0 ¿øÄ¢ äÅà Ȯ´ë

Àδõ½ºÆ®¸® 4.0 ¿øÄ¢ÀÇ Ã¤¿ë È®´ë¿¡ ÀÇÇØ »ç¹°ÀÎÅͳÝ(IoT), ÀΰøÁö´É(AI), ºòµ¥ÀÌÅÍ ºÐ¼® µîÀÇ ¼±Áø±â¼úÀÌ ÅëÇÕµÇ¾î ·Îº¿ ¿ëÁ¢ÀÌ ´ëÆø °­È­µÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±â¼ú Çõ½ÅÀ¸·Î ¿ëÁ¢ ·Îº¿ÀÇ ½Ç½Ã°£ ¸ð´ÏÅ͸µ ¹× µ¥ÀÌÅÍ ¼öÁýÀÌ °¡´ÉÇϸç, ¿¹Áö º¸ÀüÀÌ ÃËÁøµÇ°í ÀÛ¾÷ È¿°ú ¼Óµµ°¡ Çâ»óµË´Ï´Ù. ½º¸¶Æ® ¼¾¼­¿Í ¿¬°á ½Ã½ºÅÛÀ» ÅëÇØ Á¦Á¶¾÷ü´Â ¿ëÁ¢ ÇÁ·Î¼¼½º¸¦ ºÐ¼®ÇÏ¿© ¸Å°³ º¯¼ö¸¦ ÃÖÀûÈ­ÇÏ°í °áÇÔÀ» ÁÙÀÌ°í ¿ëÁ¢ ǰÁúÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. AI ¾Ë°í¸®ÁòÀº ƯÁ¤ Àç·á Ư¼º°ú ȯ°æ Á¶°Ç¿¡ µû¶ó ¿ëÁ¢ ±â¼úÀ» ÀûÀÀ½Ã۰í ÀϰüµÈ °á°ú¸¦ º¸ÀåÇÒ ¼ö ÀÖ½À´Ï´Ù.

±ÔÁ¦ ¹®Á¦

±ÔÁ¦»óÀÇ °úÁ¦´Â ´Ù¾çÇÑ »ê¾÷¿¡¼­ ·Îº¿ ¿ëÁ¢ ±â¼úÀÇ Áøº¸¸¦ Å©°Ô ¹æÇØÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ °úÁ¦´Â, ÀÚµ¿È­ ½Ã½ºÅÛÀÇ »ç¿ëÀ» ±ÔÁ¦ÇÏ´Â ¾ö°ÝÇÑ ¾ÈÀü ±âÁØ, ÄÄÇø®¾ð½º ¿ä°Ç, ¾÷°è ƯÀ¯ÀÇ ±ÔÁ¦¿¡ ±âÀÎÇÏ´Â °ÍÀÌ ¸¹½À´Ï´Ù. ¿¹¸¦ µé¾î, Á¦Á¶ ¾÷ü´Â Áö¿ª¿¡ µû¶ó ´Ù¸¥ ³ëµ¿ ¾ÈÀü ´Üü¿Í ȯ°æ º¸È£ ±â°ü¿¡ ÀÇÇØ È®¸³µÈ º¹ÀâÇÑ ÇÁ·¹ÀÓ ¿öÅ©¸¦ Ž»öÇØ¾ß ÇÕ´Ï´Ù. À̰ÍÀº »õ·Î¿î ·Îº¿ ¿ëÁ¢ ½Ã½ºÅÛÀÇ ºñ¿ë Áõ°¡¿Í ½ÂÀÎ ÇÁ·Î¼¼½ºÀÇ Àå±âÈ­·Î À̾îÁú ¼ö ÀÖ½À´Ï´Ù. ±× °á°ú, ¸¹Àº ±â¾÷Àº ÄÄÇöóÀ̾𽺠À§¹ÝÀ̳ª ÀáÀçÀûÀÎ ¹ýÀû ¿µÇâÀ» µÎ·Á¿öÇØ ·Îº¿ ¿ëÁ¢ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ÅõÀÚ¸¦ ÁÖÀúÇÏ°Ô µË´Ï´Ù.

·¹ÀÌÀú ¹× ÇöóÁ ¿ëÁ¢ ±â¼úÀÇ ÃâÇö

·¹ÀÌÀú ¹× ÇöóÁ ¿ëÁ¢ ±â¼úÀÇ ÃâÇöÀº Á¤¹Ðµµ, ¼Óµµ ¹× ¹ü¿ë¼ºÀ» Çâ»ó½ÃÄÑ ·Îº¿ ¿ëÁ¢ ±â´ÉÀ» °­È­Çϰí ÀÖ½À´Ï´Ù. ·¹ÀÌÀú ¿ëÁ¢Àº Áý¼ÓµÈ ±¤¼±À» ÀÌ¿ëÇÏ¿© ¿­ ¿Ö°îÀ» ÃÖ¼ÒÈ­ÇÑ °íǰÁú ¿ëÁ¢ºÎ¸¦ Çü¼ºÇϱ⠶§¹®¿¡ º¹ÀâÇÑ ¼³°è³ª ¾ãÀº Àç·á¿¡ ÃÖÀûÀÔ´Ï´Ù. ÀÌ Á¤¹Ðµµ¿¡ ÀÇÇØ ¿ëÁ¢ ÈÄ °¡°ø ½Ã°£ÀÌ ´ÜÃàµÇ°í Àü¹ÝÀûÀÎ »ý»ê¼ºÀÌ Çâ»óµË´Ï´Ù. ÇöóÁ ¿ëÁ¢Àº °í¿ÂÀÇ ¾ÆÅ©¸¦ ¹ß»ý½Ã۱â À§ÇØ ÀÌ¿ÂÈ­ °¡½º¸¦ »ç¿ëÇϹǷΠ¿ëÀ¶ Ư¼ºÀÌ ¶Ù¾î³ª°í ¿ëÁ¢ Ư¼ºÀ» º¸´Ù Àß Á¦¾îÇÒ ¼ö ÀÖ½À´Ï´Ù. ·Îº¿ ½Ã½ºÅÛ°ú ÅëÇÕÇÔÀ¸·Î½á µÎ ±â¼ú ¸ðµÎ ¿ëÁ¢ °øÁ¤ÀÇ ÀÚµ¿È­¸¦ ÃËÁøÇϰí ÀÎÀû ½Ç¼ö¸¦ ÁÙÀÌ°í »ý»ê·®ÀÇ Àϰü¼ºÀ» ³ôÀÔ´Ï´Ù.

ÅëÇÕ °úÁ¦

·Îº¿ ¿ëÁ¢ÀÇ ÅëÇÕ °úÁ¦´Â ´Ù¾çÇÑ ½Ã½ºÅÛ°ú ±â¼úÀ» °áÇÕÇÏ´Â º¹À⼺À¸·Î ÀÎÇÑ °æ¿ì°¡ ¸¹½À´Ï´Ù. ÀÌ·¯ÇÑ °úÁ¦¿¡´Â ·Îº¿ ÆÈ, ¿ëÁ¢ ±â±â ¹× Á¦¾î ¼ÒÇÁÆ®¿þ¾î °£ÀÇ ¿øÈ°ÇÑ Åë½Å È®º¸°¡ Æ÷ÇԵǾî ÀÖÀ¸¸ç Á¦Á¶¾÷ü¸¶´Ù Å©°Ô ´Ù¸¦ ¼ö ÀÖ½À´Ï´Ù. ºñÀü ½Ã½ºÅÛ ¹× ÀΰøÁö´É°ú °°Àº ÷´Ü ±â¼úÀ» ±âÁ¸ ¿öÅ©Ç÷ο쿡 ÅëÇÕÇϸé Àü°³ ÇÁ·Î¼¼½º°¡ º¹ÀâÇØÁö°í ´ë±Ô¸ð ±³À° ¹× ÀûÀÀÀÌ ÇÊ¿äÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶Ç ·¹°Å½Ã ½Ã½ºÅÛÀ̳ª ±âÁ¸ ÀÎÇÁ¶ó¿ÍÀÇ È£È¯¼º¿¡µµ ¿ì·Á°¡ ÀÖÀ¸¸ç ·Îº¿ ¿ëÁ¢ ¼Ö·ç¼ÇÀÇ È®À强ÀÌ Á¦ÇÑµÉ ¼ö ÀÖ½À´Ï´Ù.

COVID-19ÀÇ ¿µÇâ :

COVID-19ÀÇ ´ëÀ¯ÇàÀº Çö´ë Á¦Á¶¾÷ÀÇ Áß¿äÇÑ ¿ä¼ÒÀÎ ·Îº¿ ¿ëÁ¢¿¡ Å« ¿µÇâÀ» ¹ÌÃÆ½À´Ï´Ù. ´çÃÊ °ø±Þ¸Á È¥¶õÀÌ Çʼö ºÎǰÀÇ »ý»ê°ú ³³Ç°À» Á¤Áö½ÃÄÑ ÇÁ·ÎÁ§Æ® Áö¿¬À» ¹ß»ý½ÃÄÑ Àü¹ÝÀûÀÎ »ý»ê¼º¿¡ ¿µÇâÀ» ¹ÌÃÆ½À´Ï´Ù. ¸¹Àº Á¦Á¶ ½Ã¼³ÀÌ À§»ý ±ÔÁ¦·Î ÀÎÇÑ Àӽà Á¶¾÷ Á¤Áö¿¡ Á÷¸éÇØ Á¶¾÷ ´É·ÂÀÇ ÀúÇÏ¿Í ³ëµ¿·Â ºÎÁ·À¸·Î À̾îÁ³½À´Ï´Ù. ÆÒµ¥¹ÍÀº ±â¾÷µéÀÌ È¿À²¼ºÀ» ³ôÀÌ°í »ç¶÷µé¿¡ ´ëÇÑ ÀÇÁ¸À» ÁÙÀÌ·Á°í ÇÏ´Â °¡¿îµ¥ ÀÚµ¿È­¿Í ·Îº¿ °øÇÐÀÇ Ã¤ÅÃÀ» °¡¼ÓÈ­½ÃÄ×½À´Ï´Ù. ÀÌ ½ÃÇÁÆ®´Â ¹Ì·¡ÀÇ È¥¶õ¿¡ Á÷¸éÇÏ¿© ¿î¿µÀÇ È¸º¹·ÂÀ» È®º¸ÇϱâÀ§ÇÑ Ã·´Ü ±â¼úÀÇ Çʿ伺À» °­Á¶Çß½À´Ï´Ù.

¿¹Ãø ±â°£ µ¿¾È ±Ý¼Ó ºÒȰ¼º °¡½º ºÐ¾ß°¡ ÃÖ´ëÈ­µÉ Àü¸Á

±Ý¼Ó ºÒȰ¼º °¡½º ºÎ¹®Àº ¿¹Ãø ±â°£ µ¿¾È ÃÖ´ë Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ·Îº¿ MIG ¿ëÁ¢ ½Ã½ºÅÛÀº Á¤¹Ðµµ¿Í Àϰü¼ºÀ» ÅëÇÕÇÏ¿© Á¦Á¶¾÷ü°¡ °¡¼ÓµÈ ¼Óµµ·Î °íǰÁú ¿ëÁ¢À» ´Þ¼ºÇÒ ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ÀÚµ¿È­µÈ ¼Ö·ç¼ÇÀº À§ÇèÇÑ È¯°æ¿¡¼­ ¹Ýº¹ ÀÛ¾÷À» ó¸®ÇÏ¿© ÀÎÀû ¿À·ù¸¦ ÁÙÀÌ°í ¾ÈÀü¼ºÀ» Çâ»ó½Ãŵ´Ï´Ù. ·Îº¿ ½Ã½ºÅÛÀÇ ÀûÀÀ¼ºÀº ÀÚµ¿Â÷¿¡¼­ Ç×°ø¿ìÁÖ¿¡ À̸£±â±îÁö ´Ù¾çÇÑ ¿ëµµ¿¡ ¸Â°Ô ÇÁ·Î±×·¡¹ÖÇÒ ¼ö Àֱ⠶§¹®¿¡ »ý»ê ¶óÀο¡ À¯¿¬¼ºÀ» Á¦°øÇÕ´Ï´Ù. ½Ç½Ã°£ ¸ð´ÏÅ͸µ ¹× ÀûÀÀ Á¦¾î¿Í °°Àº °í±Þ ±â´ÉÀº ÇÁ·Î¼¼½º È¿À²¼ºÀ» ³ôÀ̰í ÃÖÀûÀÇ °á°ú¸¦ º¸ÀåÇÕ´Ï´Ù.

¿¹Ãø±â°£ Áß Ç×°ø¿ìÁÖ ¹× ¹æÀ§ ºÐ¾ß°¡ °¡Àå ³ôÀº CAGRÀÌ ¿¹»óµË´Ï´Ù.

Ç×°ø¿ìÁÖ ¹× ¹æÀ§ ºÐ¾ß´Â ³ôÀº ±¸Á¶Àû ¹«°á¼º°ú ÃÖ¼ÒÇÑÀÇ Áß·®À» ÇÊ¿ä·Î ÇÏ´Â Ç×°ø¿ìÁÖ ºÎǰÀÇ º¹ÀâÇÑ ¿ä±¸¿¡ ´ëÀÀÇϱ⠶§¹®¿¡ ¿¹Ãø±â°£ Áß¿¡ ±Þ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ·Îº¿ ¿ëÁ¢ ½Ã½ºÅÛÀº ÀϰüµÈ ǰÁú°ú ÀçÇö¼ºÀ» Á¦°øÇÏ¿© ÀÎÀ§Àû ½Ç¼öÀÇ À§ÇèÀ» Å©°Ô ÁÙÀÌ°í ¿ëÁ¢ °­µµ¸¦ Çâ»ó½Ãŵ´Ï´Ù. ÷´Ü ¼¾¼­¿Í ¸Ó½Å·¯´× ¾Ë°í¸®ÁòÀ» äÅÃÇÔÀ¸·Î½á ÀÌ·¯ÇÑ ·Îº¿Àº Àç·á ¹× ¿ëÁ¢ Á¶°ÇÀÇ º¯È­¿¡ ½Ç½Ã°£À¸·Î ÀûÀÀÇÏ¿© ÃÖÀûÀÇ ¼º´ÉÀ» º¸ÀåÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ¿ëÁ¢ °øÁ¤ÀÇ ÀÚµ¿È­´Â »ý»ê »çÀÌŬÀÇ °¡¼ÓÈ­·Î À̾îÁ® ¸®µå ŸÀÓ°ú ¿î¿µ ºñ¿ëÀ» Àý°¨ÇÕ´Ï´Ù. ÀÌ´Â ½Å¼ÓÇÑ ÇÁ·ÎÅäŸÀÔ°ú »ý»êÀÌ ÇʼöÀûÀÎ ¹æÀ§ ºÐ¾ß¿¡¼­ ƯÈ÷ Áß¿äÇÕ´Ï´Ù.

ÃÖ´ë Á¡À¯À²À» Â÷ÁöÇÏ´Â Áö¿ª

¾Æ½Ã¾ÆÅÂÆò¾çÀº ¿¹Ãø ±â°£À» ÅëÇØ µ¿ ½ÃÀå¿¡¼­ °¡Àå Å« Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î º¸ÀÔ´Ï´Ù. ÀϺ», Çѱ¹, Áß±¹°ú °°Àº ±¹°¡µéÀÌ Çаè, »ê¾÷°è, Á¤ºÎÀÇ ÀÚ¿ø°ú Àü¹® Áö½ÄÀ» °áÁýÇÏ°í ¼±µµÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÆÄÆ®³Ê½ÊÀº ÀÚµ¿È­ ½Ã½ºÅÛ ¹× ÀΰøÁö´É ÅëÇÕ°ú °°Àº ¿ëÁ¢ ±â¼úÀÇ Áøº¸¿¡ ÁßÁ¡À» µÎ¾î Á¤È®µµ Çâ»ó°ú »ý»ê ºñ¿ë Àý°¨À» ½ÇÇöÇϰí ÀÖ½À´Ï´Ù. Çù·ÂÀûÀÎ ³ë·ÂÀº Áö½Ä ±³È¯À» ÃËÁøÇϰí ÀÚµ¿Â÷ ¹× Ç×°ø¿ìÁÖ µî ´Ù¾çÇÑ ºÐ¾ß¿¡ °ÉÄ£ ÃÖ÷´Ü ±â¼úÀÇ ½Å¼ÓÇÑ ÀûÀÀÀ» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. ¶ÇÇÑ ÀÌ·¯ÇÑ Çù·Â °ü°è ¼Ó¿¡¼­ Áö¼Ó °¡´ÉÇÑ ½ÇõÀ» Áß½ÃÇÔÀ¸·Î½á ȯ°æ ģȭÀûÀÎ ¿ëÁ¢ ¼Ö·ç¼ÇÀÌ ÃËÁøµÇ¾î ¼¼°èÀÇ È¯°æ ±âÁØÀ» µû¸¨´Ï´Ù.

CAGRÀÌ °¡Àå ³ôÀº Áö¿ª :

À¯·´Àº ¾ÈÀü ±âÁØÀ» ¼ö¸³Çϰí, Çõ½ÅÀ» ÃßÁøÇϸç, Áö¼Ó°¡´É¼ºÀ» Àå·ÁÇÔÀ¸·Î½á ¿¹Ãø ±â°£ µ¿¾È °¡Àå ³ôÀº CAGRÀ» ³ªÅ¸³¾ °ÍÀ¸·Î ÃßÁ¤µË´Ï´Ù. Á¤ºÎÀÇ ±ÔÁ¦´Â ¿ëÁ¢ °øÁ¤ÀÌ ¾ö°ÝÇÑ ¾ÈÀü ¹× ȯ°æ ±âÁØÀ» ÃæÁ·Çϵµ·Ï º¸ÀåÇÏ¿© ³ëµ¿ÀÚ¸¦ º¸È£ÇÏ°í »ýŰ迡 ¹ÌÄ¡´Â ¿µÇâÀ» ÁÙÀÔ´Ï´Ù. ³ëµ¿·Â ½ºÅ³ ¾÷À» ¸ñÇ¥·Î ÇÑ ÀÌ´Ï¼ÅÆ¼ºê´Â Á÷¿øµéÀÌ Ã·´Ü ·Îº¿ ½Ã½ºÅÛÀ» Á¶ÀÛÇϱ⿡ ÃæºÐÇÑ Àåºñ¸¦ È®º¸Çϰí Áö¼ÓÀûÀÎ °³¼±°ú Çõ½Å ¹®È­¸¦ À°¼ºÇÕ´Ï´Ù. ±× °á°ú, À¯·´ÀÇ ·Îº¿ ¿ëÁ¢ ¾÷°è´Â º¸´Ù È¿À²ÀûÀ̰í ȯ°æ ģȭÀûÀÌ µÇ¾î ¼¼°è ½ÃÀåÀÇ ¸®´õ·Î¼­ÀÇ ÁöÀ§¸¦ È®¸³Çϰí ÀÖ½À´Ï´Ù.

»ç¿ëÀÚ Á¤ÀÇ ¹«·á Á¦°ø :

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°¡ ½ÃÀå ±â¾÷ÀÇ Á¾ÇÕÀû ÇÁ·ÎÆÄÀϸµ(3°³»ç±îÁö)
    • ÁÖ¿ä ±â¾÷ÀÇ SWOT ºÐ¼®(3°³»ç±îÁö)
  • Áö¿ª ¼¼ºÐÈ­
    • °í°´ÀÇ °ü½É¿¡ ÀÀÇÑ ÁÖ¿ä±¹ ½ÃÀå Ãß°è, ¿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 ¼­¹®

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

Á¦3Àå ½ÃÀå µ¿Ç⠺м®

  • ¼ºÀå ÃËÁø¿äÀÎ
  • ¾ïÁ¦¿äÀÎ
  • ±âȸ
  • À§Çù
  • ÃÖÁ¾ »ç¿ëÀÚ ºÐ¼®
  • ½ÅÈï ½ÃÀå
  • COVID-19ÀÇ ¿µÇâ

Á¦4Àå Porter's Five Forces ºÐ¼®

  • °ø±Þ±â¾÷ÀÇ Çù»ó·Â
  • ±¸¸ÅÀÚÀÇ Çù»ó·Â
  • ´ëüǰÀÇ À§Çù
  • ½Å±Ô ÁøÀÔ¾÷ÀÚÀÇ À§Çù
  • °æÀï ±â¾÷°£ °æÀï °ü°è

Á¦5Àå ¼¼°èÀÇ ·Îº¿ ¿ëÁ¢ ½ÃÀå : ÄÄÆ÷³ÍÆ®º°

  • Çϵå¿þ¾î
  • ¼­ºñ½º
  • ¼ÒÇÁÆ®¿þ¾î

Á¦6Àå ¼¼°èÀÇ ·Îº¿ ¿ëÁ¢ ½ÃÀå : À¯Çüº°

  • ½ºÆý ¿ëÁ¢
  • ¾ÆÅ© ¿ëÁ¢
  • ±Ý¼Ó ºÒȰ¼º °¡½º
  • ÅÖ½ºÅÙ ºÒȰ¼º °¡½º
  • ·¹ÀÌÀú ¿ëÁ¢
  • ±âŸ À¯Çü

Á¦7Àå ¼¼°èÀÇ ·Îº¿ ¿ëÁ¢ ½ÃÀå : ÃÖÁ¾ »ç¿ëÀÚº°

  • Ç×°ø¿ìÁÖ ¹× ¹æÀ§
  • Àü±â ¹× ÀüÀÚ
  • ÀÚµ¿Â÷ ¹× ¿î¼Û
  • ¼®À¯ ¹× °¡½º
  • ±âŸ ÃÖÁ¾ »ç¿ëÀÚ

Á¦8Àå ¼¼°èÀÇ ·Îº¿ ¿ëÁ¢ 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¦9Àå ÁÖ¿ä ¹ßÀü

  • °è¾à, ÆÄÆ®³Ê½Ê, Çù¾÷ ¹× ÇÕÀÛÅõÀÚ(JV)
  • Àμö ¹× ÇÕº´
  • ½ÅÁ¦Ç° ¹ß¸Å
  • »ç¾÷ È®´ë
  • ±âŸ ÁÖ¿ä Àü·«

Á¦10Àå ±â¾÷ ÇÁ·ÎÆÄÀϸµ

  • ABB Ltd
  • Daihen Corporation
  • Estun Automation Co., Ltd
  • Fanuc Corporation
  • Kawasaki Heavy Industries, Ltd
  • Kuka AG
  • Mitsubishi Electric Corporation
  • Panasonic Corporation
  • Siasun Robot & Automation Co. Ltd
  • Toshiba Corporation
  • Yaskawa Electric Corporation
AJY 24.11.18

According to Stratistics MRC, the Global Robotic Welding Market is accounted for $10.2 billion in 2024 and is expected to reach $20.8 billion by 2030 growing at a CAGR of 12.7% during the forecast period. Robotic welding is an automated process that employs robotic systems to perform welding tasks, significantly enhancing efficiency and precision in manufacturing. Utilizing advanced technologies such as programmable logic controllers (PLCs) and artificial intelligence, robotic welding systems can execute complex welds with high repeatability and minimal human intervention. These robots are equipped with various welding tools, including MIG, TIG, and spot welding machines, allowing them to work with different materials and configurations.

According to a report published by Oxford Economics, the number of robots in use worldwide multiplied three-fold over the past 2 decades to 2.25 million.

Market Dynamics:

Driver:

Growing adoption of industry 4.0 principles

Growing adoption of Industry 4.0 principles is substantially enhancing robotic welding by integrating advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI) and big data analytics. These innovations enable real-time monitoring and data collection from welding robots, facilitating predictive maintenance and improving operational efficiency. With smart sensors and connected systems, manufacturers can analyze welding processes to optimize parameters, reducing defects and improving weld quality. AI algorithms can adapt welding techniques based on specific material properties and environmental conditions, ensuring consistent results.

Restraint:

Regulatory challenges

Regulatory challenges significantly hinder the advancement of robotic welding technology across various industries. These challenges often stem from stringent safety standards, compliance requirements, and industry-specific regulations that govern the use of automated systems. For instance, manufacturers must navigate complex frameworks established by occupational safety organizations and environmental protection agencies, which can vary by region. This can lead to increased costs and lengthy approval processes for new robotic welding systems. As a result, many businesses may hesitate to invest in robotic welding solutions, fearing non-compliance or potential legal ramifications.

Opportunity:

Emergence of laser and plasma welding technologies

The emergence of laser and plasma welding technologies is enhancing robotic welding capabilities by improving precision, speed, and versatility. Laser welding utilizes focused beams of light to create high-quality welds with minimal heat distortion, making it ideal for intricate designs and thin materials. This precision reduces post-weld processing time and enhances overall productivity. Plasma welding employs ionized gas to produce a high-temperature arc, allowing for deeper penetration and better control over weld characteristics. When integrated with robotic systems, both technologies facilitate automation in welding processes, reducing human error and increasing consistency in output.

Threat:

Integration challenges

Integration challenges in robotic welding often stem from the complexity of combining various systems and technologies. These challenges include ensuring seamless communication between robotic arms, welding equipment, and control software, which can vary significantly across manufacturers. The integration of advanced technologies such as vision systems and artificial intelligence into existing workflows can complicate the implementation process, requiring extensive training and adaptation. There are also concerns regarding compatibility with legacy systems and existing infrastructure, which can limit the scalability of robotic welding solutions.

Covid-19 Impact:

The COVID-19 pandemic significantly impacted robotic welding, a critical component of modern manufacturing. Initially, supply chain disruptions halted the production and delivery of essential components, causing delays in projects and affecting overall productivity. Many manufacturing facilities faced temporary shutdowns due to health regulations, leading to reduced operational capacity and workforce shortages. The pandemic accelerated the adoption of automation and robotics as companies sought to enhance efficiency and reduce reliance on human labor. This shift emphasized the need for advanced technology to ensure operational resilience in the face of future disruptions.

The Metal Inert Gas segment is expected to be the largest during the forecast period

Metal Inert Gas segment is expected to dominate the largest share over the estimated period. Robotic MIG welding systems integrate precision and consistency, enabling manufacturers to achieve high-quality welds at accelerated speeds. These automated solutions reduce human error and improve safety by handling repetitive tasks in hazardous environments. The adaptability of robotic systems allows them to be programmed for various applications, from automotive to aerospace, providing flexibility in production lines. Advanced features, such as real-time monitoring and adaptive control, enhance process efficiency and ensure optimal results.

The Aerospace & Defense segment is expected to have the highest CAGR during the forecast period

Aerospace & Defense segment is estimated to grow at a rapid pace during the forecast period as it addresses the complex demands of aerospace components, which require high structural integrity and minimal weight. Robotic welding systems offer consistent quality and repeatability, significantly reducing the risk of human error and improving weld strength. By employing advanced sensors and machine learning algorithms, these robots can adapt in real time to variations in materials and welding conditions, ensuring optimal performance. Additionally, the automation of welding processes leads to faster production cycles, reducing lead times and operational costs. This is particularly vital in the defense sector, where rapid prototyping and production are essential.

Region with largest share:

Asia Pacific region is poised to hold the largest share of the market throughout the extrapolated period. Countries like Japan, South Korea, and China are leading the way by pooling resources and expertise from academia, industry, and government. These partnerships focus on advancing welding technologies, such as automated systems and artificial intelligence integration, improving precision and reducing production costs. Collaborative efforts facilitate knowledge exchange, enabling the rapid adaptation of cutting-edge techniques across various sectors, including automotive and aerospace. The emphasis on sustainable practices within these collaborations also promotes eco-friendly welding solutions, aligning with global environmental standards.

Region with highest CAGR:

Europe region is estimated to witness the highest CAGR during the projected time frame by establishing safety standards, promoting innovation, and encouraging sustainability. Government regulations ensure that welding processes meet stringent safety and environmental criteria, thereby protecting workers and reducing ecological impact. Initiatives aimed at upskilling the workforce ensure that employees are well-equipped to operate sophisticated robotic systems, fostering a culture of continuous improvement and innovation. As a result, the European robotic welding industry is becoming more efficient and eco-friendly, positioning itself as a leader in the global market.

Key players in the market

Some of the key players in Robotic Welding market include ABB Ltd, Daihen Corporation, Estun Automation Co., Ltd, Fanuc Corporation, Kawasaki Heavy Industries, Ltd, Kuka AG, Mitsubishi Electric Corporation, Panasonic Corporation, Siasun Robot & Automation Co. Ltd, Toshiba Corporation and Yaskawa Electric Corporation.

Key Developments:

In December 2022, Alma and Yaskawa Europe entered into a partnership agreement for off-line programming of welding robots. Off-line programming, which enables a robot to be graphically programmed from a virtual scene and its movements to be simulated, is easier to learn than an alternative to traditional programming.

In December 2022, OTC Daihen unveiled a several pre-engineered, production robotic arc-welding systems packed into its booth, all featuring robotic arms matched with welding power supplies and part-positioning equipment, and committing to deliver low-spatter welding on a variety of materials.

In February 2021, Ola entered into a partnership with ABB for the implementation of robotics & automation solutions in its mega-factory in India, which is slated to roll out the much-anticipated Ola electric scooter. As per the partnership, Ola will utilize ABB's automation solutions in its factory's key manufacturing process lines including the painting & welding lines while the ABB robots will be deployed extensively for the battery & motor assembly lines.

Components Covered:

  • Hardware
  • Services
  • Software

Types Covered:

  • Spot Welding
  • Arc Welding
  • Metal Inert Gas
  • Tungsten Inert Gas
  • Laser Welding
  • Other Types

End Users Covered:

  • Aerospace & Defense
  • Electrical & Electronics
  • Automotive & Transportation
  • Oil & Gas
  • 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 2022, 2023, 2024, 2026, and 2030
  • 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 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 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 Robotic Welding Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Services
  • 5.4 Software

6 Global Robotic Welding Market, By Type

  • 6.1 Introduction
  • 6.2 Spot Welding
  • 6.3 Arc Welding
  • 6.4 Metal Inert Gas
  • 6.5 Tungsten Inert Gas
  • 6.6 Laser Welding
  • 6.7 Other Types

7 Global Robotic Welding Market, By End User

  • 7.1 Introduction
  • 7.2 Aerospace & Defense
  • 7.3 Electrical & Electronics
  • 7.4 Automotive & Transportation
  • 7.5 Oil & Gas
  • 7.6 Other End Users

8 Global Robotic Welding Market, By Geography

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 Italy
    • 8.3.4 France
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 Japan
    • 8.4.2 China
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 New Zealand
    • 8.4.6 South Korea
    • 8.4.7 Rest of Asia Pacific
  • 8.5 South America
    • 8.5.1 Argentina
    • 8.5.2 Brazil
    • 8.5.3 Chile
    • 8.5.4 Rest of South America
  • 8.6 Middle East & Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 UAE
    • 8.6.3 Qatar
    • 8.6.4 South Africa
    • 8.6.5 Rest of Middle East & Africa

9 Key Developments

  • 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 9.2 Acquisitions & Mergers
  • 9.3 New Product Launch
  • 9.4 Expansions
  • 9.5 Other Key Strategies

10 Company Profiling

  • 10.1 ABB Ltd
  • 10.2 Daihen Corporation
  • 10.3 Estun Automation Co., Ltd
  • 10.4 Fanuc Corporation
  • 10.5 Kawasaki Heavy Industries, Ltd
  • 10.6 Kuka AG
  • 10.7 Mitsubishi Electric Corporation
  • 10.8 Panasonic Corporation
  • 10.9 Siasun Robot & Automation Co. Ltd
  • 10.10 Toshiba Corporation
  • 10.11 Yaskawa Electric Corporation
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦