¼¼°èÀÇ µðÁöÅÐ MRO ½ÃÀå
Digital MRO
»óǰÄÚµå : 1768840
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¹ßÇàÀÏ : 2025³â 07¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 177 Pages
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¼¼°èÀÇ µðÁöÅÐ MRO ½ÃÀåÀº 2030³â±îÁö 24¾ï ´Þ·¯¿¡ ´ÞÇÒ Àü¸Á

2024³â¿¡ 13¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ¼¼°èÀÇ µðÁöÅÐ MRO ½ÃÀåÀº 2024-2030³â¿¡ CAGR 11.4%·Î ¼ºÀåÇϸç, 2030³â¿¡´Â 24¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ ¸®Æ÷Æ®¿¡¼­ ºÐ¼®ÇÑ ºÎ¹®ÀÇ ÇϳªÀÎ MRO´Â CAGR 12.1%¸¦ ±â·ÏÇϸç, ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 14¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. Ç×°øÈ¸»ç ºÎ¹®ÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£ Áß CAGR 10.7%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 3¾ï 4,810¸¸ ´Þ·¯·Î ÃßÁ¤, Áß±¹Àº CAGR 10.8%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ µðÁöÅÐ MRO ½ÃÀåÀº 2024³â¿¡ 3¾ï 4,810¸¸ ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ÀÇ °æÁ¦´ë±¹ÀÎ Áß±¹Àº 2024-2030³âÀÇ ºÐ¼® ±â°£¿¡ CAGR 10.8%·Î ÃßÀÌÇϸç, 2030³â¿¡´Â 3¾ï 7,360¸¸ ´Þ·¯ÀÇ ½ÃÀå ±Ô¸ð¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ±âŸ ÁÖ¸ñÇÒ ¸¸ÇÑ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖÀ¸¸ç, ºÐ¼® ±â°£ Áß CAGRÀº °¢°¢ 10.0%¿Í 9.4%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR 8.1%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°èÀÇ µðÁöÅÐ MRO ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

µðÁöÅÐ MRO°¡ Ç×°ø¿ìÁÖ À¯Áöº¸¼ö »ê¾÷À» º¯È­½ÃŰ´Â ÀÌÀ¯´Â ¹«¾ùÀΰ¡?

µðÁöÅÐ MRO(Maintenance, Repair, Overhaul)´Â ºòµ¥ÀÌÅÍ ºÐ¼®, ÀΰøÁö´É(AI), »ç¹°ÀÎÅͳÝ(IoT) µî ÷´Ü µðÁöÅÐ ±â¼úÀ» Á¤ºñ ÇÁ·Î¼¼½º¿¡ ÅëÇÕÇÏ¿© Ç×°ø¿ìÁÖ»ê¾÷¿¡ Çõ¸íÀ» ÀÏÀ¸Å°°í ÀÖ½À´Ï´Ù. ¼öÀÛ¾÷°ú ½Ã°£ÀÌ ¸¹ÀÌ ¼Ò¿äµÇ´Â ÀüÅëÀûÀÎ MRO ÀýÂ÷´Â ÇöÀç ¿¹Ãø À¯Áöº¸¼ö, ½Ç½Ã°£ µ¥ÀÌÅÍ ÃßÀû, ÇÁ·Î¼¼½º ÀÚµ¿È­¸¦ °¡´ÉÇÏ°Ô ÇÏ´Â µðÁöÅÐ Åø·Î º¯È­Çϰí ÀÖ½À´Ï´Ù. µðÁöÅÐ MRO¸¦ ÅëÇØ Ç×°ø»ç¿Í Á¤ºñ¾÷ü´Â ±â°è °íÀåÀÇ °¡´É¼ºÀ» ¹Ì¸® ¿¹ÃøÇÒ ¼ö ÀÖÀ¸¸ç, Ç×°ø±â ´Ù¿îŸÀÓÀ» ÁÙÀÌ°í ºñ¿ëÀÌ ¸¹ÀÌ µå´Â Áö¿¬À» ¹æÁöÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±â´ÉÀº ¿¹Á¤¿¡ ¾ø´ø À¯Áöº¸¼ö°¡ Å« ¸ÅÃ⠼սǰú ¹°·ù È¥¶õÀ» ÃÊ·¡ÇÒ ¼ö ÀÖ´Â Ç×°ø¿ìÁÖ »ê¾÷¿¡¼­ ƯÈ÷ Áß¿äÇÕ´Ï´Ù. µðÁöÅÐ MRO ¼Ö·ç¼ÇÀ» äÅÃÇÔÀ¸·Î½á Ç×°ø»ç¿Í ¼­ºñ½º ÇÁ·Î¹ÙÀÌ´õ´Â ¿î¿µ È¿À²¼ºÀ» ³ôÀÌ°í ´õ ³ôÀº ¼öÁØÀÇ ¾ÈÀü¼º°ú ½Å·Ú¼ºÀ» º¸ÀåÇÏ´Â »çÀü ¿¹¹æÀû µ¥ÀÌÅͺ£À̽º À¯Áöº¸¼ö·Î ÀüȯÇϰí ÀÖ½À´Ï´Ù.

µðÁöÅÐ MRO µµÀÔÀÇ ÁÖ¿ä ¿øµ¿·Â Áß Çϳª´Â Ç×°ø±â °¡¿ë¼ºÀ» ³ôÀÌ°í ºÎǰÀÇ ¼ö¸íÁֱ⸦ ¿¬ÀåÇØ¾ß ÇÒ Çʿ伺ÀÔ´Ï´Ù. ¼¾¼­ ¹× ºÐ¼® Ç÷§Æû°ú °°Àº µðÁöÅÐ ±â¼úÀ» Ȱ¿ëÇÔÀ¸·Î½á MRO ÇÁ·Î¹ÙÀÌ´õ´Â Áß¿äÇÑ ºÎǰÀÇ »óŸ¦ ½Ç½Ã°£À¸·Î ¸ð´ÏÅ͸µÇÏ°í ½ÇÁ¦ ¸¶¸ð ¹× »ç¿ë ÆÐÅÏ¿¡ µû¶ó À¯Áöº¸¼ö ÀÏÁ¤À» ÃÖÀûÈ­ÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ µðÁöÅÐ MRO ¼Ö·ç¼ÇÀº À¯Áöº¸¼ö ¹®¼­ÀÇ Á¤È®¼ºÀ» ³ôÀ̰í ÀÎÀû ¿À·ù¸¦ ÁÙÀÓÀ¸·Î½á Ç×°ø»ç°¡ ¾ö°ÝÇÑ ±ÔÁ¦ ¿ä°ÇÀ» ÃæÁ·ÇÒ ¼ö ÀÖµµ·Ï µ½°í ÀÖ½À´Ï´Ù. µðÁöÅÐ MRO´Â Ç×°ø¿ìÁÖ »ê¾÷¿¡¼­ ½Å·Ú¼º°ú ¾ÈÀü¿¡ ´ëÇÑ ¿ä±¸°¡ ³ô¾ÆÁü¿¡ µû¶ó º¸´Ù ÇÕ¸®ÀûÀÌ°í ºñ¿ë È¿À²ÀûÀÎ À¯Áöº¸¼ö ¹æ¹ýÀ» äÅÃÇÒ ¼ö ÀÖ°Ô ÇØÁÝ´Ï´Ù.

µðÁöÅÐ MRO·ÎÀÇ ÀüȯÀ» ÃËÁøÇÏ´Â ±â¼úÀº ¹«¾ùÀΰ¡?

¸î °¡Áö ÷´Ü ±â¼úÀÌ µðÁöÅÐ MRO·ÎÀÇ ÀüȯÀ» ÃËÁøÇϰí À¯Áöº¸¼ö Ȱµ¿ °ü¸® ¹æ½ÄÀ» ±Ùº»ÀûÀ¸·Î º¯È­½Ã۰í ÀÖ½À´Ï´Ù. ºòµ¥ÀÌÅÍ ºÐ¼®°ú AI´Â °¡Àå ¿µÇâ·Â ÀÖ´Â ±â¼ú Áß Çϳª·Î, Ç×°ø±âÀÇ ¼¾¼­¿Í °ú°Å Á¤ºñ ±â·Ï¿¡¼­ ¾òÀº ´ë±Ô¸ð µ¥ÀÌÅͼ¼Æ®¸¦ ºÐ¼®ÇÏ¿© ¿¹Ãø Á¤ºñ¸¦ °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. ¿¹Ãø ºÐ¼®À» ÅëÇØ MRO ÇÁ·Î¹ÙÀÌ´õ´Â ÀåºñÀÇ °íÀåÀ» ¿¹ÃøÇϰí, À¯Áöº¸¼ö¸¦ »çÀü¿¡ °èȹÇϰí, ¸®¼Ò½º¸¦ º¸´Ù È¿À²ÀûÀ¸·Î ÇÒ´çÇÒ ¼ö ÀÖ½À´Ï´Ù. ¿¹¸¦ µé¾î AI ±â¹Ý ¾Ë°í¸®ÁòÀº ƯÁ¤ ±¸¼º ¿ä¼ÒÀÇ ÀáÀçÀû ¹®Á¦¸¦ ³ªÅ¸³»´Â ¼¾¼­ µ¥ÀÌÅÍÀÇ ÆÐÅÏÀ» ½Äº°ÇÒ ¼ö ÀÖÀ¸¸ç, À¯Áöº¸¼ö ÆÀÀº ´Ù¿îŸÀÓÀ¸·Î À̾îÁö±â Àü¿¡ ÀÌ·¯ÇÑ ¹®Á¦¸¦ ÇØ°áÇÒ ¼ö ÀÖ½À´Ï´Ù. »çÈÄ ´ëÀÀ¿¡¼­ ¿¹Ãø À¯Áöº¸¼ö·ÎÀÇ ÀüȯÀº Ç×°ø±âÀÇ ½Å·Ú¼ºÀ» Çâ»ó½ÃŰ°í ¿î¿µ ºñ¿ëÀ» ÃÖ¼ÒÈ­ÇÒ ¼ö ÀÖ½À´Ï´Ù.

IoT ±â¼úÀº Ç×°ø±â ½Ã½ºÅÛ¿¡ ³»ÀåµÈ Ä¿³ØÆ¼µå ¼¾¼­·ÎºÎÅÍ ½Ç½Ã°£ µ¥ÀÌÅ͸¦ Á¦°øÇÏ´Â µðÁöÅÐ MRO¿¡µµ ¸Å¿ì Áß¿äÇÕ´Ï´Ù. ÀÌ ¼¾¼­µéÀº Áß¿äÇÑ ºÎǰÀÇ »óŸ¦ Áö¼ÓÀûÀ¸·Î ¸ð´ÏÅ͸µÇϰí MRO ÆÀ¿¡ µ¥ÀÌÅ͸¦ Àü¼ÛÇÏ¿© ½Ç½Ã°£ ÀÇ»ç°áÁ¤À» ³»¸± ¼ö ÀÖ°Ô ÇØÁÝ´Ï´Ù. Áõ°­Çö½Ç(AR)Àº µðÁöÅÐ MROÀÇ ¶Ç ´Ù¸¥ Áß¿äÇÑ Åø·Î, ¹°¸®Àû ºÎǰ¿¡ µðÁöÅÐ Á¤º¸¸¦ °ãÃļ­ ±â¼úÀÚÀÇ ´É·ÂÀ» Çâ»ó½Ãŵ´Ï´Ù. ÀÌ ±â¼úÀ» ÅëÇØ ±â¼úÀÚ´Â AR Áö¿ø Àåºñ¿¡¼­ µðÁöÅÐ ¸Å´º¾ó, ºÎǰ Á¤º¸ ¹× ´Ü°èº° Áöħ¿¡ Á÷Á¢ ¾×¼¼½ºÇÏ¿© ¼ö¸® ÇÁ·Î¼¼½ºÀÇ Á¤È®¼º°ú ¼Óµµ¸¦ Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ ½ÇÁ¦ Ç×°ø±â ºÎǰÀÇ °¡»ó º¹Á¦º»À» »ý¼ºÇÏ´Â µðÁöÅÐ Æ®À©Àº Á¤ºñ ¿öÅ©Ç÷ο츦 ½Ã¹Ä·¹À̼ÇÇϰí ÃÖÀûÈ­ÇÏ´Â µ¥ Ȱ¿ëµÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±â¼ú ¹ßÀüÀº MRO ¾÷¹«¸¦ °£¼ÒÈ­Çϰí, À¯Áöº¸¼öÀÇ ½Å¼Ó¼º, Á¤È®¼º ¹× È¿À²¼ºÀ» Çâ»ó½Ã۰í ÀÖ½À´Ï´Ù.

µðÁöÅÐ MROÀÇ ÁÖ¿ä ¿ëµµ´Â?

µðÁöÅÐ MROÀÇ ÀÀ¿ëÀº ½Ç½Ã°£ Áø´Ü¿¡¼­ °ø±Þ¸Á °ü¸®, À¯Áöº¸¼ö, ¼ö¸®, Á¤ºñÀÇ ´Ù¾çÇÑ Ãø¸éÀ¸·Î È®´ëµÇ°í ÀÖ½À´Ï´Ù. ¿¹Áöº¸ÀüÀº °¡Àå Áß¿äÇÑ ¿ëµµ Áß ÇϳªÀ̸ç, MRO ÇÁ·Î¹ÙÀÌ´õ°¡ ÀåºñÀÇ °íÀåÀ» ¿¹ÃøÇϰí À¯Áöº¸¼ö ÀÏÁ¤À» ÃÖÀûÈ­ÇÒ ¼ö ÀÖ°Ô ÇØÁÝ´Ï´Ù. ¿¹Áöº¸ÀüÀº ¼¾¼­ µ¥ÀÌÅÍ¿Í À¯Áöº¸¼ö ±â·ÏÀ» ºÐ¼®ÇÏ¿© MRO ÆÀÀÌ °íÁ¤µÈ ÀÏÁ¤ÀÌ ¾Æ´Ñ ½Ç½Ã°£ ºÎǰ »óŸ¦ ±â¹ÝÀ¸·Î ¹®Á¦¸¦ ÇØ°áÇÒ ¼ö ÀÖ°Ô ÇØÁÝ´Ï´Ù. ÀÌ·¯ÇÑ Á¢±Ù ¹æ½ÄÀº ´Ù¿îŸÀÓÀ» ÁÙÀ̰í Áß¿ä ºÎǰÀÇ ¼ö¸íÀ» ¿¬ÀåÇÏ¿© ºñ¿ëÀ» Àý°¨Çϰí ÀÚ»ê Ȱ¿ëµµ¸¦ Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù.

¶Ç ´Ù¸¥ Áß¿äÇÑ ¿ëµµ´Â µðÁöÅÐ Àç°í °ü¸®·Î, AI¿Í IoT ±â¼úÀ» Ȱ¿ëÇÏ¿© ºÎǰÀÇ °¡¿ë¼ºÀ» ÃßÀûÇϰí, Àç°í ¼ö¿ä¸¦ ¿¹ÃøÇϰí, °ø±Þ¸ÁÀ» °£¼ÒÈ­ÇÏ´Â µ¥ Ȱ¿ëµË´Ï´Ù. µðÁöÅÐ MRO Ç÷§ÆûÀÇ ½Ç½Ã°£ µ¥ÀÌÅÍ´Â MRO ÇÁ·Î¹ÙÀÌ´õ°¡ ÃÖÀûÀÇ Àç°í ¼öÁØÀ» À¯ÁöÇÏ°í ºÎǰ ºÎÁ·À¸·Î ÀÎÇÑ Áö¿¬À» ¹æÁöÇÏ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù. ¶ÇÇÑ µðÁöÅÐ MRO´Â ±â·Ï °ü¸®¸¦ ÀÚµ¿È­Çϰí Á¤È®ÇÑ µðÁöÅÐ À¯Áöº¸¼ö ·Î±×¸¦ »ý¼ºÇÏ¿© ¹®¼­È­ ¹× ±ÔÁ¤ Áؼö ÇÁ·Î¼¼½º¸¦ °­È­ÇÕ´Ï´Ù. ÀÌ ±â´ÉÀº ±ÔÁ¦°¡ ¾ö°ÝÇÑ Ç×°ø¿ìÁÖ ºÐ¾ß¿¡¼­ ÇʼöÀûÀ̸ç, ÀÎÀû ¿À·ùÀÇ À§ÇèÀ» ÁÙÀ̸鼭 ¾ö°ÝÇÑ ±ÔÁ¦ Ç¥ÁØÀ» ÁؼöÇÒ ¼ö ÀÖµµ·Ï µµ¿ÍÁÝ´Ï´Ù. µðÁöÅÐ MRO ¼Ö·ç¼ÇÀº ±â¼úÀÚ°¡ ¿¬°áµÈ Àåºñ¸¦ ÅëÇØ °Ë»ç ¹× ¼ö¸®¸¦ ¼öÇàÇÒ ¼ö ÀÖ´Â ¿ø°Ý À¯Áöº¸¼ö ±â´Éµµ Áö¿øÇÏ¿© Àü ¼¼°è MRO ³×Æ®¿öÅ©ÀÇ È¿À²¼ºÀ» ³ôÀ̰í ÀÖ½À´Ï´Ù.

µðÁöÅÐ MRO ½ÃÀåÀÇ ¼ºÀå ¿øµ¿·ÂÀº?

µðÁöÅÐ MRO ½ÃÀåÀÇ ¼ºÀåÀº ¿¹Ãø Á¤ºñ¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡, Ç×°ø µðÁöÅÐ ±â¼úÀÇ È®´ë, ¿î¿µ ºñ¿ë Àý°¨ ¾Ð·Â µî ¿©·¯ °¡Áö ¿äÀο¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ½À´Ï´Ù. Ç×°ø»ç´Â Ç×°ø±â °¡µ¿·üÀ» ³ôÀÌ°í ¿¹Á¤¿¡ ¾ø´ø À¯Áöº¸¼ö¸¦ ÃÖ¼ÒÈ­Çϱâ À§ÇØ ¿¹Áöº¸ÀüÀ¸·Î ÀüȯÇÏ´Â °ÍÀÌ ÇʼöÀûÀ̸ç, IoT Áö¿ø ¼¾¼­¿Í AI ±â¹Ý ºÐ¼®À» ÅëÇØ MRO ÇÁ·Î¹ÙÀÌ´õ´Â ÀåºñÀÇ °íÀåÀ» ¿¹ÃøÇϰí, ´Ù¿îŸÀÓÀ» ÁÙÀ̰í, À¯Áöº¸¼ö ºñ¿ëÀ» Àý°¨ÇÒ ¼ö ÀÖ½À´Ï´Ù. À¯Áöº¸¼ö ºñ¿ëÀ» Àý°¨ÇÒ ¼ö ÀÖ°Ô µÇ¾ú½À´Ï´Ù. ¶ÇÇÑ Ä¿³ØÆ¼µå Ç×°ø±â Áõ°¡¿Í ½Ç½Ã°£ µ¥ÀÌÅÍ °¡¿ë¼ºÀº µðÁöÅÐ MRO ¼Ö·ç¼ÇÀ» Áö¿øÇϰí ÀÖÀ¸¸ç, ÀÌ·¯ÇÑ ±â¼úÀº Áö¼ÓÀûÀÎ ¸ð´ÏÅ͸µ°ú º¸´Ù Á¤È®ÇÑ À¯Áöº¸¼ö °èȹ ¼ö¸³À» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù.

±ÔÁ¦ ¿ä°Ç°ú ¾ÈÀü Áؼö¿¡ ´ëÇÑ °­Á¶µµ Å« ¼ºÀå µ¿·ÂÀÌ µÇ°í ÀÖ½À´Ï´Ù. Á¤È®Çϰí ÀÚµ¿È­µÈ ¹®¼­¸¦ Á¦°øÇÏ´Â µðÁöÅÐ MRO Ç÷§ÆûÀº ±â¾÷ÀÌ ±â·Ï °ü¸® ÇÁ·Î¼¼½ºÀÇ È¿À²¼ºÀ» ³ôÀ̸鼭 ±ÔÁ¦ ±âÁØÀ» ÃæÁ·ÇÏ´Â µ¥ µµ¿òÀ» ÁÖ°í ÀÖ½À´Ï´Ù. Ç×°ø¾÷°è¿¡¼­´Â ƯÈ÷ COVID-19 ÆÒµ¥¹Í ÀÌÈÄ ºñ¿ë °ü¸®ÀÇ Çʿ伺ÀÌ ³ô¾ÆÁö¸é¼­ Á¤ºñ Ȱµ¿À» ÃÖÀûÈ­ÇÏ°í °£Á¢ºñ¸¦ Àý°¨ÇϰíÀÚ ÇÏ´Â ±â¾÷ÀÇ µðÁöÅÐ MRO µµÀÔÀÌ ´õ¿í °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ Áõ°­Çö½Ç, µðÁöÅÐ Æ®À©, 5G ¿¬°á°ú °°Àº ±â¼úÀÇ ¹ßÀüÀ¸·Î µðÁöÅÐ MRO ¼Ö·ç¼ÇÀÌ ´õ¿í È¿°úÀûÀÌ°í »ç¿ëÇϱ⠽¬¿öÁ³À¸¸ç, Ç×°ø¿ìÁÖ ±â¾÷ÀÌ Á¤ºñ ¾÷¹«ÀÇ µðÁöÅÐ ÀüȯÀ» Á¡Á¡ ´õ ¿ì¼±¼øÀ§¿¡ µÎ¸é¼­ ½ÃÀåÀÇ °­·ÂÇÑ ¼ºÀåÀ» °¡¼ÓÇϰí ÀÖ½À´Ï´Ù.

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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.

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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.

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Global Digital MRO Market to Reach US$2.4 Billion by 2030

The global market for Digital MRO estimated at US$1.3 Billion in the year 2024, is expected to reach US$2.4 Billion by 2030, growing at a CAGR of 11.4% over the analysis period 2024-2030. MROs, one of the segments analyzed in the report, is expected to record a 12.1% CAGR and reach US$1.4 Billion by the end of the analysis period. Growth in the Airlines segment is estimated at 10.7% CAGR over the analysis period.

The U.S. Market is Estimated at US$348.1 Million While China is Forecast to Grow at 10.8% CAGR

The Digital MRO market in the U.S. is estimated at US$348.1 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$373.6 Million by the year 2030 trailing a CAGR of 10.8% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 10.0% and 9.4% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 8.1% CAGR.

Global Digital MRO Market - Key Trends & Drivers Summarized

Why Is Digital MRO Transforming the Aerospace Maintenance Industry?

Digital Maintenance, Repair, and Overhaul (MRO) is revolutionizing the aerospace industry by integrating advanced digital technologies, such as big data analytics, artificial intelligence (AI), and the Internet of Things (IoT), into maintenance processes. Traditional MRO procedures, which are often manual and time-consuming, are now being transformed with digital tools that enable predictive maintenance, real-time data tracking, and process automation. Digital MRO allows airlines and maintenance providers to predict potential mechanical failures before they occur, thereby reducing aircraft downtime and avoiding costly delays. These capabilities are particularly critical in the aerospace industry, where unscheduled maintenance can lead to significant revenue losses and logistical disruptions. By adopting digital MRO solutions, airlines and service providers are moving towards proactive, data-driven maintenance that enhances operational efficiency and ensures higher levels of safety and reliability.

One of the primary drivers of digital MRO adoption is the need to increase aircraft availability and extend component life cycles. With the help of digital technologies, such as sensors and analytics platforms, MRO providers can monitor the real-time condition of critical components, making it easier to optimize maintenance schedules based on actual wear and usage patterns. Additionally, digital MRO solutions are helping airlines meet strict regulatory requirements by improving maintenance documentation accuracy and reducing human error. As digital MRO transforms how maintenance activities are performed, it is enabling the aerospace industry to adopt a more streamlined and cost-effective approach to maintenance, one that aligns with the growing demand for reliability and safety in air travel.

What Technologies Are Powering the Shift to Digital MRO?

Several advanced technologies are driving the transition to digital MRO, fundamentally changing how maintenance activities are managed. Big data analytics and AI are among the most influential technologies, enabling predictive maintenance by analyzing large datasets from aircraft sensors and historical maintenance records. Through predictive analytics, MRO providers can anticipate equipment failures, plan maintenance proactively, and allocate resources more efficiently. For instance, AI-powered algorithms can identify patterns in sensor data that indicate potential issues with specific components, allowing maintenance teams to address these issues before they lead to downtime. This shift from reactive to predictive maintenance improves aircraft reliability and minimizes operational costs.

IoT technology is also crucial to digital MRO, providing real-time data from connected sensors embedded in aircraft systems. These sensors continuously monitor the condition of critical components, sending data back to MRO teams and allowing for real-time decision-making. Augmented reality (AR) is another key tool in digital MRO, enhancing technician capabilities by overlaying digital information onto physical components. This technology allows technicians to access digital manuals, parts information, and step-by-step instructions directly on their AR-enabled devices, improving accuracy and speed in repair processes. Furthermore, digital twins, which create virtual replicas of physical aircraft components, are being used to simulate and optimize maintenance workflows. These technological advancements are streamlining MRO operations, making maintenance faster, more accurate, and more efficient.

What Are the Key Applications of Digital MRO?

Digital MRO applications are expanding across various aspects of maintenance, repair, and overhaul, from real-time diagnostics to supply chain management. Predictive maintenance is one of the most significant applications, as it enables MRO providers to forecast equipment failures and optimize maintenance schedules. By analyzing sensor data and maintenance records, predictive maintenance allows MRO teams to address issues based on real-time component conditions, rather than fixed schedules. This approach reduces downtime and extends the service life of critical parts, resulting in cost savings and improved asset utilization.

Another important application is digital inventory management, where AI and IoT technologies are used to track parts availability, predict inventory needs, and streamline the supply chain. Real-time data from digital MRO platforms helps MRO providers maintain optimal stock levels and avoid delays caused by parts shortages. Additionally, digital MRO is enhancing documentation and compliance processes by automating record-keeping and generating accurate digital maintenance logs. This capability is essential in the heavily regulated aerospace sector, as it helps companies comply with stringent regulatory standards while reducing the risk of human error. Digital MRO solutions also support remote maintenance, where technicians can conduct inspections and repairs via connected devices, enhancing the efficiency of global MRO networks.

What Is Driving Growth in the Digital MRO Market?

The growth in the digital MRO market is driven by several factors, including the rising demand for predictive maintenance, the expansion of digital aviation technologies, and the pressure to reduce operational costs. As airlines aim to improve aircraft availability and minimize unscheduled maintenance, the shift toward predictive maintenance has become essential. The adoption of IoT-enabled sensors and AI-driven analytics is allowing MRO providers to anticipate equipment failures, reduce downtime, and lower maintenance expenses. In addition, the growth of connected aircraft and the availability of real-time data are supporting digital MRO solutions, as these technologies enable continuous monitoring and more accurate maintenance planning.

Regulatory requirements and the emphasis on safety compliance are also major growth drivers. Digital MRO platforms, which provide accurate and automated documentation, help companies meet regulatory standards while enhancing the efficiency of record-keeping processes. The need for cost control in the aviation industry, especially following the COVID-19 pandemic, has further accelerated digital MRO adoption, as companies seek to optimize maintenance activities and reduce overhead costs. Additionally, advancements in technologies such as augmented reality, digital twins, and 5G connectivity are making digital MRO solutions more effective and accessible, driving strong growth in the market as aerospace companies increasingly prioritize digital transformation in their maintenance operations.

SCOPE OF STUDY:

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

Segments:

End-Use (MROs, Airlines, OEMs); Application (Performance Monitoring, Inspection, Part Replacement, Predictive Analysis, Mobility & Functionality)

Geographic Regions/Countries:

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

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TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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