¼¼°èÀÇ Á¦Á¶ ¹°·ù ½ÃÀå
Manufacturing Logistics
»óǰÄÚµå : 1791910
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2025³â 08¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 488 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 5,850 £Ü 8,274,000
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 24,824,000
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 Á¦Á¶ ¹°·ù ½ÃÀåÀº 2030³â±îÁö 2,437¾ï ´Þ·¯¿¡ À̸¦ Àü¸Á

2024³â¿¡ 1,582¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â Á¦Á¶ ¹°·ù ¼¼°è ½ÃÀåÀº 2024-2030³â°£ CAGR 7.5%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 2,437¾ï ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. º» º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ ¿î¼Û ¼­ºñ½º´Â CAGR 9.2%¸¦ ³ªÅ¸³»°í, ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 1,162¾ï ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. â°í ¼­ºñ½º ºÐ¾ßÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£Áß CAGR 5.7%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº ÃßÁ¤ 431¾ï ´Þ·¯, Áß±¹Àº CAGR 12.0%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ Á¦Á¶ ¹°·ù ½ÃÀåÀº 2024³â¿¡ 431¾ï ´Þ·¯·Î Æò°¡µÇ¾ú½À´Ï´Ù. ¼¼°è 2À§ °æÁ¦´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 524¾ï ´Þ·¯ ±Ô¸ð¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³â CAGRÀº 12.0%·Î ÃßÁ¤µË´Ï´Ù. ±âŸ ÁÖ¸ñÇØ¾ß ÇÒ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖÀ¸¸ç, ºÐ¼® ±â°£Áß CAGRÀº °¢°¢ 3.6%¿Í 7.3%¸¦ º¸ÀÏ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR 5.0%¸¦ º¸ÀÏ Àü¸ÁÀÔ´Ï´Ù.

¼¼°èÀÇ Á¦Á¶ ¹°·ù ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

ÀÚµ¿È­´Â ¾î¶»°Ô Á¦Á¶ ¹°·ù¸¦ À籸¼ºÇϰí Àִ°¡?

»ê¾÷°è°¡ ÀÚµ¿È­, ÀΰøÁö´É(AI), ·Îº¿°øÇÐÀ» °ø±Þ¸Á ¾÷¹«¿¡ ÅëÇÕÇÔ¿¡ µû¶ó Á¦Á¶ ¹°·ù´Â ±Þ°ÝÇÏ°Ô º¯È­Çϰí ÀÖ½À´Ï´Ù. ¼öÀÛ¾÷°ú Á¤Àû °ø±Þ¸Á¿¡ Å©°Ô ÀÇÁ¸ÇÏ´ø ±âÁ¸ ¹°·ù ¸ðµ¨Àº ÀÚÀ² ÀÚÀç°ü¸® ½Ã½ºÅÛ, AI ±â¹Ý ¼ö¿ä ¿¹Ãø, ½Ç½Ã°£ ÃßÀû ¼Ö·ç¼ÇÀ¸·Î ´ëüµÇ°í ÀÖ½À´Ï´Ù. ÀÚµ¿¿î¹ÝÂ÷(AGV)¿Í ÀÚÀ²À̵¿·Îº¿(AMR)ÀÇ µµÀÔÀº ÃÖ¼ÒÇÑÀÇ Àη °³ÀÔÀ¸·Î È¿À²ÀûÀÎ Àç°í À̵¿À» º¸ÀåÇÔÀ¸·Î½á â°í ¹× »ý»ê ¹°·ù¿¡ Çõ¸íÀ» ÀÏÀ¸Å°°í ÀÖ½À´Ï´Ù. ¼¼°è °ø±Þ¸ÁÀÌ º¹ÀâÇØÁü¿¡ µû¶ó Á¦Á¶¾÷üµéÀº Àç°í ¼öÁØ ÃÖÀûÈ­, ¼ö¿ä º¯µ¿ ¿¹Ãø, »ý»ê º´¸ñÇö»ó ÃÖ¼ÒÈ­¸¦ À§ÇØ AI¸¦ Ȱ¿ëÇÑ ºÐ¼®¿¡ ´ëÇÑ ÀÇÁ¸µµ¸¦ ³ôÀ̰í ÀÖ½À´Ï´Ù. Á¦Á¶ ¹°·ù ºÐ¾ß¿¡¼­µµ µðÁöÅÐ Æ®À©ÀÇ µµÀÔÀÌ °¡¼ÓÈ­µÇ°í ÀÖÀ¸¸ç, ±â¾÷µéÀº °ø±Þ¸ÁÀÇ È¥¶õÀ» ½Ã¹Ä·¹À̼ÇÇÏ°í ºñ»ó ´ëÀÀÃ¥À» ¹Ì¸® ¸¶·ÃÇÒ ¼ö ÀÖ½À´Ï´Ù. °æÀïÀÌ Ä¡¿­ÇØÁü¿¡ µû¶ó Á¦Á¶¾÷üµéÀº ÀÚµ¿È­¸¦ Ȱ¿ëÇÏ¿© ºñ¿ëÀ» Àý°¨Çϰí È¿À²¼ºÀ» °³¼±Çϸç Àüü °ø±Þ¸ÁÀÇ Åº·Â¼ºÀ» ³ôÀ̰í ÀÖ½À´Ï´Ù.

½Ç½Ã°£ °¡½Ã¼ºÀÌ ½º¸¶Æ® Á¦Á¶ ¹°·ùÀÇ ±Ù°£ÀÌ µÇ´Â ÀÌÀ¯´Â ¹«¾ùÀϱî?

Á¦Á¶¾÷üµéÀÌ Áö¿¬, È¥¶õ, Àç°í ºÎÁ·¿¡ µû¸¥ ¸®½ºÅ©¸¦ ÁÙÀ̱â À§ÇØ ³ë·ÂÇϸ鼭 °ø±Þ¸Á¿¡ ´ëÇÑ ½Ç½Ã°£ °¡½Ã¼º¿¡ ´ëÇÑ ¼ö¿ä°¡ ±ÞÁõÇϰí ÀÖ½À´Ï´Ù. IoT Áö¿ø ¼¾¼­¿Í RFID ±â¼úÀº Á¦Á¶ ¹°·ù¿¡ ¿£µå Åõ ¿£µå °¡½Ã¼ºÀ» Á¦°øÇÏ¿© ¿øÀÚÀç¿¡¼­ ¿ÏÁ¦Ç°¿¡ À̸£±â±îÁö ¸ðµç ±¸¼º ¿ä¼Ò¸¦ ½Ç½Ã°£À¸·Î ÃßÀûÇÒ ¼ö ÀÖµµ·Ï º¸ÀåÇÕ´Ï´Ù. ÷´Ü GPS ÃßÀû ¹× Áö¿ÀÆæ½ÌÀº ±â¾÷ÀÌ ¿î¼Û ¹°·ù¸¦ ÃÖÀûÈ­Çϰí, ¸®µå ŸÀÓÀ» ´ÜÃàÇϸç, Â÷·® °ü¸®ÀÇ È¿À²¼ºÀ» ³ôÀÌ´Â µ¥ µµ¿òÀÌ µÇ°í ÀÖ½À´Ï´Ù. ºí·ÏüÀÎ ±â¼úÀº ¶ÇÇÑ ¹°·ù ºÐ¾ß¿¡¼­µµ ÁöÁö¸¦ ¹Þ°í ÀÖÀ¸¸ç, Á¦¾à, Ç×°ø¿ìÁÖ µîÀÇ »ê¾÷¿¡¼­ Áß¿äÇÑ °ø±Þ¸Á °Å·¡ÀÇ À§º¯Á¶ ¹æÁö¿Í Åõ¸íÇÑ ¹®¼­È­¸¦ °¡´ÉÇÏ°Ô Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, Ŭ¶ó¿ìµå ±â¹Ý ¹°·ù °ü¸® ½Ã½ºÅÛÀ» ÅëÇØ Á¦Á¶¾÷ü´Â °ø±Þ¸Á µ¥ÀÌÅ͸¦ Áß¾Ó ÁýÁßÈ­ÇÏ¿© °ø±Þ¾÷ü, »ý»ê ºÎ¼­, À¯Åë ³×Æ®¿öÅ© °£ÀÇ ¿øÈ°ÇÑ Çù¾÷À» º¸ÀåÇÒ ¼ö ÀÖ½À´Ï´Ù. ÁöÁ¤ÇÐÀû ±äÀå°ú ±âÈÄ °ü·Ã »ç°ÇÀ¸·Î ÀÎÇØ °ø±Þ¸Á¿¡ È¥¶õÀÌ ºó¹øÇÏ°Ô ¹ß»ýÇÏ´Â °¡¿îµ¥, ½Ç½Ã°£ °¡½Ã¼ºÀº Á¦Á¶¾÷üÀÇ Çʼö ¿ä°ÇÀÌ µÇ°í ÀÖ½À´Ï´Ù.

Áö¼Ó°¡´É¼º°ú ³ì»ö¹°·ù´Â Á¦Á¶¾÷°ø±Þ¸ÁÀ» ¾î¶»°Ô º¯È­½Ãų °ÍÀΰ¡?

Áö¼Ó°¡´É¼ºÀº Á¦Á¶ ¹°·ùÀÇ ÇÙ½É ÃÊÁ¡ÀÌ µÇ°í ÀÖÀ¸¸ç, ±â¾÷µéÀº ȯ°æ, »çȸ, Áö¹è±¸Á¶(ESG) ¸ñÇ¥¸¦ ´Þ¼ºÇϱâ À§ÇØ Ä£È¯°æ °ø±Þ¸Á ¼Ö·ç¼Ç¿¡ ÅõÀÚÇϰí ÀÖ½À´Ï´Ù. Á¦Á¶¾÷üµéÀÌ ¿î¼Û ¹°·ùÀÇ Åº¼Ò ¹ßÀÚ±¹À» ÁÙÀ̱â À§ÇØ ³ë·ÂÇϰí ÀÖ´Â °¡¿îµ¥, Àü±â¿Í ¼ö¼Ò·Î ±¸µ¿µÇ´Â Æ®·°ÀÇ µµÀÔÀÌ °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. »ýºÐÇØ¼º ¹× Àç»ç¿ë °¡´ÉÇÑ ¼ÒÀ縦 Æ÷ÇÔÇÑ ½º¸¶Æ® ÆÐŰ¡ ¼Ö·ç¼ÇÀº Æó±â¹°À» ÃÖ¼ÒÈ­Çϱâ À§ÇØ ¹°·ù ¾÷¹«¿¡ ÅëÇյǰí ÀÖ½À´Ï´Ù. AI¸¦ Ȱ¿ëÇÑ °æ·Î ÃÖÀûÈ­ ¾Ë°í¸®ÁòÀº °¡Àå È¿À²ÀûÀÎ ¿î¼Û °æ·Î¸¦ ÆÄ¾ÇÇÏ¿© ¹°·ù Á¦°ø¾÷ü°¡ ¿¬·á ¼Òºñ¿Í ¹è±â°¡½º ¹èÃâ·®À» ÁÙÀÌ´Â µ¥ µµ¿òÀ» ÁÖ°í ÀÖ½À´Ï´Ù. Á¦Ç°ÀÌ ÀçȰ¿ë °¡´ÉÇϵµ·Ï ¼³°èµÇ°í Àç·á°¡ Àç»ç¿ëµÇ´Â ¼øÈ¯Çü °ø±Þ¸Áµµ Áß¿äÇÑ Æ®·»µå·Î ¶°¿À¸£°í ÀÖ½À´Ï´Ù. °¢±¹ Á¤ºÎ´Â ź¼Ò¹èÃâ·® ¹× Áö¼Ó °¡´ÉÇÑ Á¶´Þ¿¡ ´ëÇÑ ±ÔÁ¦¸¦ °­È­Çϰí ÀÖÀ¸¸ç, Á¦Á¶¾÷üµéÀÌ Ä£È¯°æ ¹°·ù ¼Ö·ç¼ÇÀ» µµÀÔÇϵµ·Ï Àå·ÁÇϰí ÀÖ½À´Ï´Ù. ¼ÒºñÀÚÀÇ ÃëÇâÀÌ Ä£È¯°æ Á¦Ç°À¸·Î ¿Å°Ü°¡´Â °¡¿îµ¥, Áö¼Ó°¡´ÉÇÑ ¹°·ù¸¦ ¿ì¼±½ÃÇÏ´Â ±â¾÷Àº ½ÃÀå °æÀï·ÂÀ» ³ôÀ̰í ÀÖ½À´Ï´Ù.

Á¦Á¶ ¹°·ù ½ÃÀåÀÇ ¼ºÀåÀº ¸î °¡Áö ¿äÀο¡ ÀÇÇØ ÁÖµµµË´Ï´Ù.

ÀüÀÚ»ó°Å·¡¿Í ÁÖ¹®Çü Á¦Á¶ÀÇ ±Þ°ÝÇÑ ¼ºÀåÀº Á¦Á¶ ¹°·ù ½ÃÀåÀÇ È®ÀåÀ» Å©°Ô ÃËÁøÇϰí ÀÖ½À´Ï´Ù. Àδõ½ºÆ®¸® 4.0ÀÇ ºÎ»óÀ¸·Î AI¸¦ ÅëÇÑ °ø±Þ¸Á ÃÖÀûÈ­, µðÁöÅÐ Æ®À©, ÀÚµ¿ Àç°í °ü¸®¿¡ ´ëÇÑ ÅõÀÚ°¡ ÃËÁøµÇ°í ÀÖ½À´Ï´Ù. ÁöÁ¤ÇÐÀû ºÒÈ®½Ç¼º°ú ¼¼°è È¥¶õ ¼Ó¿¡¼­ ź·ÂÀûÀÎ °ø±Þ¸Á¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÔ¿¡ µû¶ó Á¦Á¶¾÷üµéÀº ½Ç½Ã°£ ÃßÀû ¹× ¿¹Ãø ºÐ¼® ¼Ö·ç¼Ç¿¡ ´ëÇÑ ÅõÀÚ¸¦ ´Ã¸®°í ÀÖ½À´Ï´Ù. â°í ÀÛ¾÷¿¡¼­ ·Îº¿°ú AGVÀÇ µµÀÔÀº È¿À²¼ºÀ» ³ôÀÌ°í ¼öÀÛ¾÷¿¡ ´ëÇÑ ÀÇÁ¸µµ¸¦ ³·Ãß°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ, Áö¼Ó°¡´É¼º ÃßÁøÀ» ÅëÇØ ±â¾÷µéÀº Àü±â Â÷·®, ź¼Ò »ó¼â ÇÁ·Î±×·¥ µî ģȯ°æ ¹°·ù ¼Ö·ç¼Ç¿¡ ´ëÇÑ ÅõÀÚ¸¦ Àå·ÁÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, °ø±Þ¸Á Åõ¸í¼º¿¡¼­ ºí·ÏüÀÎ ±â¼úÀÇ ÅëÇÕÀº Á¦Á¶ ¹°·ùÀÇ º¸¾È°ú ½Å·Ú¸¦ ³ôÀ̰í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¿ä¼ÒµéÀÌ °áÇÕÇÏ¿© Á¦Á¶ ¹°·ù ½ÃÀåÀº Áö¼ÓÀûÀÎ ¼ºÀåÀ» ÀÌ·ç°í, º¸´Ù ¹ÎøÇϰí È¿À²ÀûÀ̸ç Áö¼Ó °¡´ÉÇÑ °ø±Þ¸ÁÀ» È®º¸ÇÒ ¼ö Àִ ż¼¸¦ °®Ãß°í ÀÖ½À´Ï´Ù.

ºÎ¹®

¼­ºñ½º(¿î¼Û ¼­ºñ½º, â°í ¼­ºñ½º, ¹°·ù ¼­ºñ½º, Àç°í °ü¸® ¼­ºñ½º), ¿î¼Û(µµ·Î ¿î¼Û, öµµ ¿î¼Û, Ç×°ø¼ö¼Û, ÇØ»ó¿î¼Û), Å×Å©³î·¯Áö(IoT Å×Å©³î·¯Áö, AI£¦ML Å×Å©³î·¯Áö, ·Îº¸Æ½½º£¦ÀÚµ¿È­ Å×Å©³î·¯Áö, Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ Å×Å©³î·¯Áö, ºí·ÏüÀÎ Å×Å©³î·¯Áö, ±âŸ Å×Å©³î·¯Áö), ÃÖÁ¾ »ç¿ë(ÀÚµ¿Â÷ ÃÖÁ¾ »ç¿ë, Ç×°ø¿ìÁÖ ÃÖÁ¾ »ç¿ë, ÀÏ·ºÆ®·Î´Ð½º ÃÖÁ¾ »ç¿ë, Á¦¾à ÃÖÁ¾ »ç¿ë, ½Äǰ ¹× À½·á ÃÖÁ¾ »ç¿ë, ¼¶À¯ ÃÖÁ¾ »ç¿ë, ±âŸ ÃÖÁ¾ »ç¿ë)

Á¶»ç ´ë»ó ±â¾÷ ¿¹

AI ÅëÇÕ

Global Industry Analysts´Â À¯È¿ÇÑ Àü¹®°¡ ÄÁÅÙÃ÷¿Í AIÅø¿¡ ÀÇÇØ¼­, ½ÃÀå Á¤º¸¿Í °æÀï Á¤º¸¸¦ º¯ÇõÇϰí ÀÖ½À´Ï´Ù.

Global Industry Analysts´Â ÀϹÝÀûÀÎ LLM³ª ¾÷°èº° SLM Äõ¸®¿¡ µû¸£´Â ´ë½Å¿¡, ºñµð¿À ±â·Ï, ºí·Î±×, °Ë»ö ¿£Áø Á¶»ç, ´ë·® ±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»»ç ¼ÒÀçÁö, Á¦Á¶°ÅÁ¡, ¼öÃâÀÔ(¿ÏÁ¦Ç° ¹× OEM)À» ±âÁØÀ¸·Î ±â¾÷ÀÇ °æÀï·Â º¯È­¸¦ ¿¹ÃøÇß½À´Ï´Ù. ÀÌ·¯ÇÑ º¹ÀâÇÏ°í ´Ù¸éÀûÀÎ ½ÃÀå ¿ªÇÐÀº ¼öÀÍ¿ø°¡(COGS) Áõ°¡, ¼öÀͼº Ç϶ô, °ø±Þ¸Á ÀçÆí µî ¹Ì½ÃÀû, °Å½ÃÀû ½ÃÀå ¿ªÇÐ Áß¿¡¼­µµ ƯÈ÷ °æÀï»çµé¿¡°Ô ¿µÇâÀ» ¹ÌÄ¥ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý

Á¦2Àå ÁÖ¿ä ¿ä¾à

Á¦3Àå ½ÃÀå ºÐ¼®

Á¦4Àå °æÀï

LSH
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Global Manufacturing Logistics Market to Reach US$243.7 Billion by 2030

The global market for Manufacturing Logistics estimated at US$158.2 Billion in the year 2024, is expected to reach US$243.7 Billion by 2030, growing at a CAGR of 7.5% over the analysis period 2024-2030. Transportation Services, one of the segments analyzed in the report, is expected to record a 9.2% CAGR and reach US$116.2 Billion by the end of the analysis period. Growth in the Warehousing Services segment is estimated at 5.7% CAGR over the analysis period.

The U.S. Market is Estimated at US$43.1 Billion While China is Forecast to Grow at 12.0% CAGR

The Manufacturing Logistics market in the U.S. is estimated at US$43.1 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$52.4 Billion by the year 2030 trailing a CAGR of 12.0% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 3.6% and 7.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 5.0% CAGR.

Global Manufacturing Logistics Market - Key Trends & Drivers Summarized

How Is Automation Reshaping Manufacturing Logistics?

Manufacturing logistics is undergoing a seismic shift as industries integrate automation, artificial intelligence (AI), and robotics into their supply chain operations. Traditional logistics models that relied heavily on manual labor and static supply chains are being replaced by autonomous material handling systems, AI-driven demand forecasting, and real-time tracking solutions. The deployment of automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) is revolutionizing warehouse and production logistics by ensuring efficient inventory movement with minimal human intervention. With the growing complexity of global supply chains, manufacturers are increasingly relying on AI-powered analytics to optimize inventory levels, predict demand fluctuations, and minimize production bottlenecks. The adoption of digital twins in manufacturing logistics is also accelerating, allowing businesses to simulate supply chain disruptions and devise contingency plans in advance. As competition intensifies, manufacturers are leveraging automation to reduce costs, improve efficiency, and enhance overall supply chain resilience.

Why Is Real-Time Visibility Becoming the Backbone of Smart Manufacturing Logistics?

The demand for real-time supply chain visibility has skyrocketed as manufacturers seek to mitigate risks associated with delays, disruptions, and inventory shortages. IoT-enabled sensors and RFID technology are providing end-to-end visibility into manufacturing logistics, ensuring that every component, from raw materials to finished goods, is tracked in real-time. Advanced GPS tracking and geofencing are helping companies optimize transportation logistics, reducing lead times and enhancing fleet management efficiency. Blockchain technology is also gaining traction in logistics, enabling tamper-proof and transparent documentation of supply chain transactions, which is critical in industries such as pharmaceuticals and aerospace. Additionally, cloud-based logistics management systems are allowing manufacturers to centralize supply chain data, ensuring seamless collaboration between suppliers, production units, and distribution networks. As supply chain disruptions become more frequent due to geopolitical tensions and climate-related events, real-time visibility is becoming a non-negotiable requirement for manufacturers.

How Are Sustainability and Green Logistics Transforming Manufacturing Supply Chains?

Sustainability has become a central focus in manufacturing logistics, with companies investing in green supply chain solutions to meet environmental, social, and governance (ESG) goals. The adoption of electric and hydrogen-powered trucks is gaining momentum as manufacturers seek to reduce their carbon footprint in transportation logistics. Smart packaging solutions, including biodegradable and reusable materials, are being integrated into logistics operations to minimize waste. Route optimization algorithms powered by AI are helping logistics providers reduce fuel consumption and emissions by identifying the most efficient transportation routes. Circular supply chains, where products are designed for recyclability and materials are repurposed, are also emerging as a key trend. Governments worldwide are imposing stricter regulations on carbon emissions and sustainable sourcing, further pushing manufacturers to embrace green logistics solutions. As consumer preferences shift towards eco-friendly products, companies that prioritize sustainable logistics are gaining a competitive edge in the market.

The Growth in the Manufacturing Logistics Market Is Driven by Several Factors

The rapid growth of e-commerce and on-demand manufacturing is significantly driving the expansion of the manufacturing logistics market. The rise of Industry 4.0 is fueling investments in AI-driven supply chain optimization, digital twins, and automated inventory management. The increasing demand for resilient supply chains amid geopolitical uncertainties and global disruptions is pushing manufacturers to invest in real-time tracking and predictive analytics solutions. The adoption of robotics and AGVs in warehouse operations is improving efficiency and reducing reliance on manual labor. The push for sustainability is also encouraging companies to invest in eco-friendly logistics solutions, including electric fleets and carbon offset programs. Additionally, the integration of blockchain technology in supply chain transparency is enhancing security and trust in manufacturing logistics. As these factors converge, the market for manufacturing logistics is poised for sustained growth, ensuring more agile, efficient, and sustainable supply chains.

SCOPE OF STUDY:

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

Segments:

Services (Transportation Services, Warehousing Services, Distribution Services, Inventory Management Services); Transportation (Road Transportation, Rail Transportation, Air Transportation, Sea Transportation); Technology (IoT Technology, AI & ML Technology, Robotics & Automation Technology, Cloud Computing Technology, Blockchain Technology, Other Technologies); End-Use (Automotive End-Use, Aerospace End-Use, Electronics End-Use, Pharmaceuticals End-Use, Food & Beverage End-Use, Textiles End-Use, Other End-Uses)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Select Competitors (Total 32 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