¼¼°èÀÇ ¿ø°Ý ÀÚ»ê ¸ð´ÏÅ͸µ ½ÃÀå
Remote Asset Monitoring
»óǰÄÚµå : 1793776
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2025³â 08¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 456 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 5,850 £Ü 8,183,000
PDF & Excel (Single User License) help
PDF & Excel º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÆÄÀÏ ³» ÅØ½ºÆ®ÀÇ º¹»ç ¹× ºÙ¿©³Ö±â´Â °¡´ÉÇÏÁö¸¸, Ç¥/±×·¡ÇÁ µîÀº º¹»çÇÒ ¼ö ¾ø½À´Ï´Ù. Àμâ´Â 1ȸ °¡´ÉÇϸç, Àμ⹰ÀÇ ÀÌ¿ë¹üÀ§´Â ÆÄÀÏ ÀÌ¿ë¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 17,550 £Ü 24,550,000
PDF & Excel (Global License to Company and its Fully-owned Subsidiaries) help
PDF & Excel º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ ¹× 100% ÀÚȸ»çÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÏ½Ç ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â 1Àδç 1ȸ °¡´ÉÇϸç, Àμ⹰ÀÇ ÀÌ¿ë¹üÀ§´Â ÆÄÀÏ ÀÌ¿ë¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


Çѱ۸ñÂ÷

¿ø°Ý ÀÚ»ê ¸ð´ÏÅ͸µ ¼¼°è ½ÃÀåÀº 2030³â±îÁö 530¾ï ´Þ·¯¿¡ ´ÞÇÒ Àü¸Á

2024³â¿¡ 161¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ¿ø°Ý ÀÚ»ê ¸ð´ÏÅ͸µ ¼¼°è ½ÃÀåÀº 2024³âºÎÅÍ 2030³â±îÁö CAGR 22.0%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 530¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ ¼Ö·ç¼Ç ±¸¼º¿ä¼Ò´Â CAGR 23.9%¸¦ ±â·ÏÇÏ¸ç ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 397¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ¼­ºñ½º ±¸¼º¿ä¼Ò ºÐ¾ßÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£ CAGR·Î 17.3%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 44¾ï ´Þ·¯, Áß±¹Àº CAGR 29.7%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ ¿ø°Ý ÀÚ»ê ¸ð´ÏÅ͸µ ½ÃÀåÀº 2024³â¿¡ 44¾ï ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ °æÁ¦ ´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 129¾ï ´Þ·¯ÀÇ ½ÃÀå ±Ô¸ð¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³â CAGRÀº 29.7%¸¦ ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ±âŸ ÁÖ¸ñÇÒ ¸¸ÇÑ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖ°í, ºÐ¼® ±â°£ µ¿¾È CAGRÀº °¢°¢ 17.4%¿Í 19.8%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR ¾à 18.5%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°èÀÇ ¿ø°Ý ÀÚ»ê ¸ð´ÏÅ͸µ ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

¿ø°Ý ÀÚ»ê ¸ð´ÏÅ͸µÀÌ °¢ »ê¾÷ ºÐ¾ß¿¡¼­ ÇʼöÀûÀÎ ÀÌÀ¯´Â ¹«¾ùÀϱî?

¿ø°Ý ÀÚ»ê ¸ð´ÏÅ͸µ(RAM)Àº ±â¾÷ÀÌ ÀÌÁ¾ ȯ°æÀ̳ª Á¢±ÙÀÌ ºÒ°¡´ÉÇÑ È¯°æ¿¡ ÀÖ´Â ¹°¸®Àû ÀÚ»êÀ» ½Ç½Ã°£À¸·Î ÃßÀû, °ü¸®, ºÐ¼®ÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÏ´Â ±â¼ú ±â¹Ý ¼Ö·ç¼ÇÀÔ´Ï´Ù. IoT ¼¾¼­, ¿§Áö ÄÄÇ»ÆÃ, Ŭ¶ó¿ìµå Ç÷§Æû, AI¸¦ Ȱ¿ëÇÑ RAM ½Ã½ºÅÛÀº Áß¿ä Àåºñ, ÀÎÇÁ¶ó, Â÷·®ÀÇ Áö¼ÓÀûÀÎ µ¥ÀÌÅÍ ¼öÁý ¹× Áø´ÜÀ» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ½Ç½Ã°£ °¡½Ã¼ºÀ» ÅëÇØ ÀÚ»êÀÇ ½Å·Ú¼ºÀ» ³ôÀ̰í, À¯Áöº¸¼ö ºñ¿ëÀ» Àý°¨Çϸç, ´Ù¿îŸÀÓÀ» ¹æÁöÇϰí, ¿î¿µ»óÀÇ ÀÇ»ç°áÁ¤À» °³¼±ÇÒ ¼ö ÀÖ½À´Ï´Ù. ºÐ»êÇü ¿î¿µ ¹× ÇÏÀ̺긮µå ÀÛ¾÷ ¸ðµ¨ÀÌ ±ÞÁõÇÔ¿¡ µû¶ó RAMÀº ¿¡³ÊÁö, ¹°·ù, Á¦Á¶, ³ó¾÷ ºÐ¾ß¿¡¼­ ºü¸£°Ô Çʼö ºÒ°¡°áÇÑ ¿ä¼Ò·Î ÀÚ¸® Àâ°í ÀÖ½À´Ï´Ù.

RAMÀÇ µµÀÔÀº ¿ø°ÝÁö ¹× À§Çèµµ°¡ ³ôÀº ȯ°æ¿¡¼­ ºñÁî´Ï½º ¿¬¼Ó¼º ¹× ÀÚ»ê Ȱ¿ëÀ» º¸ÀåÇØ¾ß ÇÑ´Ù´Â ±âº»ÀûÀÎ ¿ä±¸¿¡ ÀÇÇØ ÃßÁøµÇ°í ÀÖ½À´Ï´Ù. ¿¹¸¦ µé¾î, ¼®À¯ ½ÃÃß Àåºñ, ž籤¹ßÀü¼Ò, ±¤»ê ÀÛ¾÷Àº ¾ÈÀü ±ÔÁ¤ Áؼö ¹× ¼º´É ÃÖÀûÈ­¸¦ À§ÇØ Áß´Ü ¾ø´Â ¸ð´ÏÅ͸µÀÌ ÇÊ¿äÇÕ´Ï´Ù. ¸¶Âù°¡Áö·Î, ¹°·ù Â÷·®°ú ½º¸¶Æ® ½ÃƼ ÀÎÇÁ¶ó´Â À̵¿, ¿¬ºñ, »óÅ »óŸ¦ ÃßÀûÇϱâ À§ÇØ RAM¿¡ ÀÇÁ¸Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ½Ã½ºÅÛÀº ¿ø°Ý ÃøÁ¤ µ¥ÀÌÅÍ¿Í ¿¹Áöº¸Àü ¾Ë°í¸®ÁòÀ» ÅëÇÕÇÏ¿© Á¶±â °íÀå °¨Áö ¹× »çÀü ¿¹¹æÀû ¼­ºñ½º¸¦ °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. ±× °á°ú, ºñ¿ë È¿À²¼º»Ó¸¸ ¾Æ´Ï¶ó ȯ°æ ÄÄÇöóÀ̾𽺠Çâ»ó°ú ÀÚ»ê ¼ö¸íÁֱ⠿¬ÀåÀ¸·Î À̾îÁý´Ï´Ù.

¿ø°Ý ÀÚ»ê ¸ð´ÏÅ͸µ ½Ã½ºÅÛÀ» Áö¿øÇÏ´Â ÇÙ½É ±â¼úÀº?

¿ø°Ý ÀÚ»ê ¸ð´ÏÅ͸µ »ýŰè´Â ¿§Áö ¼¾¼­, LPWAN(Low Power Wide Area Network) ¿¬°á, Áß¾Ó ÁýÁᫎ µ¥ÀÌÅÍ Ã³¸® Ç÷§ÆûÀ» Æ÷ÇÔÇÑ ´ÙÃþ ±â¼ú ½ºÅÃÀ» ±â¹ÝÀ¸·Î ±¸ÃàµÇ¾î ÀÖ½À´Ï´Ù. ¼¾¼­´Â ¿Âµµ, Áøµ¿, ¾Ð·Â, À§Ä¡, ¿¡³ÊÁö »ç¿ë·® µîÀÇ º¯¼ö¸¦ ÃøÁ¤Çϰí LoRaWAN, NB-IoT, À§¼º µîÀÇ ¹«¼± ³×Æ®¿öÅ©¸¦ ÅëÇØ µ¥ÀÌÅ͸¦ Àü¼ÛÇÕ´Ï´Ù. ¿§Áö ÄÄÇ»ÆÃ ±â´ÉÀº ·ÎÄà µ¥ÀÌÅÍ ÇÊÅ͸µ°ú À̺¥Æ® Æ®¸®°Å¸µ¿¡ ÀÇÇÑ ¾Ë¸²À» ÅëÇØ ´ë¿ªÆø ºÎÇϸ¦ ÁÙÀÌ°í ºü¸¥ ÀÀ´äÀ» º¸ÀåÇÕ´Ï´Ù.

Ŭ¶ó¿ìµå ±â¹Ý ºÐ¼® Ç÷§ÆûÀº ÀÚ»ê µ¥ÀÌÅÍ Áý°è, ½Ã°¢È­, º¸°í¸¦ À§ÇÑ Ä¿¸Çµå ¼¾ÅÍ ¿ªÇÒÀ» ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ½Ã½ºÅÛ¿¡´Â ¼¾¼­ µ¥ÀÌÅ͸¦ ÇØ¼®ÇÏ¿© ÀÌ»óÀ» °¨ÁöÇϰí, ÀåºñÀÇ °íÀåÀ» ¿¹ÃøÇϰí, ¿î¿µ»óÀÇ ÀλçÀÌÆ®¸¦ âÃâÇÏ´Â AI/ML ¸ðµ¨ÀÌ Å¾ÀçµÇ¾î ÀÖ´Â °æ¿ì°¡ ¸¹½À´Ï´Ù. »çÀ̹ö º¸¾È ÇÁ·¹ÀÓ¿öÅ©µµ ƯÈ÷ Áß¿ä ÀÎÇÁ¶ó¿Í ¹æ¾î ¾ÖÇø®ÄÉÀ̼ǿ¡ ÇʼöÀûÀÎ ¿ä¼Ò·Î ÀÚ¸® Àâ°í ÀÖ½À´Ï´Ù. ºí·ÏüÀÎÀº ƯÈ÷ ÀÎÁõ°ú À§º¯Á¶ ¹æÁö°¡ ¿ì¼±½ÃµÇ´Â °ø±Þ¸Á¿¡¼­ ÀÚ»êÀÇ ÃßÀû°ú ¹«°á¼º °ËÁõÀ» À§ÇØ RAM¿¡ µîÀåÇϰí ÀÖ½À´Ï´Ù. ERP ¹× SCADA¿Í °°Àº ¿£ÅÍÇÁ¶óÀÌÁî ¼ÒÇÁÆ®¿þ¾î ½Ã½ºÅÛ°úÀÇ ÅëÇÕÀ» ÅëÇØ ºñÁî´Ï½º ±â´É Àü¹Ý¿¡ °ÉÃÄ ¿øÈ°ÇÑ µ¥ÀÌÅÍ È帧À» º¸ÀåÇÕ´Ï´Ù.

¾î¶² »ê¾÷ ºÐ¾ß°¡ µµÀÔ°ú Çõ½ÅÀ» ÁÖµµÇϰí Àִ°¡?

¿¡³ÊÁö ¹× À¯Æ¿¸®Æ¼´Â RAM ±â¼úÀ» °¡Àå ¸ÕÀú äÅÃÇÏ°í °¡Àå ¼º¼÷ÇÑ ±â¾÷ Áß ÇϳªÀÔ´Ï´Ù. ½º¸¶Æ® ±×¸®µå ¸ð´ÏÅ͸µ, dz·Â ÅÍºó ¼º´É ÃßÀû, ÆÄÀÌÇÁ¶óÀÎ ¾Ð·Â ºÐ¼®Àº ÇöÀç ¸¹Àº Áö¿ª¿¡¼­ Ç¥ÁØÀÌ µÇ°í ÀÖ½À´Ï´Ù. ¼®À¯ ¹× °¡½º ºÐ¾ß¿¡¼­´Â ¾÷½ºÆ®¸² ¹× ¹Ìµå½ºÆ¼¸² »ç¾÷ÀÚµéÀÌ Áö¸®ÀûÀ¸·Î ¸Ö¸® ¶³¾îÁø À§ÇèÇÑ È¯°æ¿¡¼­ ½ÃÃß Àåºñ, ¾ÐÃà±â, ÆÄÀÌÇÁ¶óÀÎÀ» ¸ð´ÏÅ͸µÇϱâ À§ÇØ RAMÀ» Ȱ¿ëÇϰí ÀÖ½À´Ï´Ù. ³ó¾÷ ºÐ¾ß¿¡¼­´Â ±¤È°ÇÑ ³óÁöÀÇ Åä¾ç ¼öºÐ, °ü°³ ½Ã½ºÅÛ, °¡ÃàÀÇ °Ç°­ »óÅÂ, Àåºñ »ç¿ë ÇöȲÀ» ¸ð´ÏÅ͸µÇϱâ À§ÇØ RAMÀÌ »ç¿ëµÇ°í ÀÖ½À´Ï´Ù.

¿î¼Û ¹× ¹°·ù ºÐ¾ß¿¡¼­´Â Â÷·® °ü¸®, ÄݵåüÀÎ ¹«°á¼º, ¿îÀüÀÚ Çൿ ºÐ¼®¿¡ RAMÀÌ ºü¸£°Ô äÅõǰí ÀÖ½À´Ï´Ù. â°í¾÷ÀÚ¿Í ÀÌÄ¿¸Ó½º ¾÷üµéÀº Àç°íÀÇ ¿òÁ÷ÀÓÀ» ÃßÀûÇÏ°í ¼öÃàÀ» ¹æÁöÇϱâ À§ÇØ ½Ç½Ã°£ ÀÚ»ê °¡½Ã¼ºÀ» µµÀÔÇϰí ÀÖ½À´Ï´Ù. Á¦Á¶¾÷¿¡¼­ RAMÀº CNC ±â°è, º¸ÀÏ·¯, HVAC ½Ã½ºÅÛ µî °í°¡ ÀåºñÀÇ ¿¹Áöº¸ÀüÀ» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. °Ç¼³ ÇöÀå¿¡¼­´Â ÁßÀåºñÀÇ »ç¿ë·®, ¿¬·á ¼Òºñ·®, À§Ä¡¸¦ ÃßÀûÇÏ´Â ¿ø°Ý ¸ð´ÏÅ͸µÀÌ µµÀԵǾî ÇÁ·ÎÁ§Æ® ÀÏÁ¤°ú ¾ÈÀü ±ÔÁ¤ Áؼö¸¦ °³¼±Çϰí ÀÖ½À´Ï´Ù. ÇコÄɾ »õ·Î¿î ºÐ¾ß·Î, º´¿ø¿¡¼­´Â ÀΰøÈ£Èí±â, ¼ö¾×ÆßÇÁ µî Áß¿ä Àåºñ¸¦ ½Ç½Ã°£À¸·Î ¸ð´ÏÅ͸µÇϰí ÀÖ½À´Ï´Ù.

¿ø°Ý ÀÚ»ê ¸ð´ÏÅ͸µ ½ÃÀåÀÇ ¼ºÀåÀ» ÃËÁøÇÏ´Â ¿äÀÎÀº ¹«¾ùÀΰ¡?

¿ø°Ý ÀÚ»ê ¸ð´ÏÅ͸µ ½ÃÀåÀÇ ¼ºÀåÀº ¾÷¹« È¿À²¼º, ÀÚ»ê º¸¾È, ¹ý±Ô Áؼö, ·¹°Å½Ã ½Ã½ºÅÛÀÇ µðÁöÅÐÈ­¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡°¡ ¿øµ¿·ÂÀÌ µÇ°í ÀÖ½À´Ï´Ù. Àδõ½ºÆ®¸® 4.0 Çõ½ÅÀÇ ÃßÁøÀ¸·Î ¿ø°Ý ¸ð´ÏÅ͸µÀº ÀÚµ¿È­ ¹× µ¥ÀÌÅÍ ±â¹Ý ÀÇ»ç°áÁ¤ÀÇ Áß¿äÇÑ ½ÇÇö ¼ö´ÜÀÌ µÇ°í ÀÖ½À´Ï´Ù. ¼¼°è °ø±Þ¸ÁÀÌ ´õ¿í º¹ÀâÇØÁö°í Áö¸®ÀûÀ¸·Î ºÐ»êµÊ¿¡ µû¶ó ¿ø°ÝÀ¸·Î ÀÚ»êÀ» ÃßÀûÇÏ°í °ü¸®ÇÒ ¼ö ÀÖ´Â ´É·ÂÀº Àü·«Àû ¿ìÀ§¸¦ Á¦°øÇÕ´Ï´Ù.

¶ÇÇÑ, ¹è±â°¡½º ±ÔÁ¦, ÀÛ¾÷ÀÚ ¾ÈÀü, ¼³ºñ Á¡°Ë¿¡ ´ëÇÑ Á¤ºÎ ±ÔÁ¦ ¶ÇÇÑ RAMÀÇ Ã¤ÅÃÀ» °­È­Çϰí ÀÖ½À´Ï´Ù. ¿ø°Ý ÀÚ»êÀÇ ½Ç½Ã°£ µ¥ÀÌÅÍ´Â ±â¾÷ÀÌ ¼öÀÛ¾÷ °Ë»ç¸¦ ÃÖ¼ÒÈ­Çϸ鼭 ÄÄÇöóÀ̾𽺠¿ä°ÇÀ» ÃæÁ·ÇÒ ¼ö ÀÖµµ·Ï µµ¿ÍÁÝ´Ï´Ù. ÆÒµ¥¹ÍÀ¸·Î ÀÎÇØ ¿ø°Ý ¿î¿µÀÌ ´õ¿í °¡¼ÓÈ­µÇ°í ÀÖÀ¸¸ç, Àå±âÀûÀ¸·Î ÀÎÇÁ¶ó ÅõÀÚ¿¡ ´ëÇÑ º¯È­°¡ ÀϾ°í ÀÖ½À´Ï´Ù. Àú·ÅÇÑ °¡°ÝÀÇ ¼¾¼­, ¿§Áö µð¹ÙÀ̽º, Ä¿³ØÆ¼ºñƼ ¼Ö·ç¼ÇÀ¸·Î ÁøÀÔÀ庮ÀÌ ³·¾ÆÁ® Áß¼Ò±â¾÷µµ RAMÀ» »ç¿ëÇÒ ¼ö ÀÖ°Ô µÇ¾ú½À´Ï´Ù. RAM ¼Ö·ç¼Ç Á¦°ø¾÷ü¿¡ ´ëÇÑ ÅõÀÚÀÚµéÀÇ °ü½ÉÀÌ ³ô¾ÆÁö°í ÀÖÀ¸¸ç, º¥Ã³±â¾÷ÀÇ ÀÚ±Ý Á¶´Þ°ú M&AÀÇ ÀÚ±Ý Á¶´ÞÀº ÀÌ ºÐ¾ßÀÇ ¼ºÀå ±Ëµµ¿¡ ´ëÇÑ °­ÇÑ ÀڽۨÀ» º¸¿©ÁÖ°í ÀÖ½À´Ï´Ù. µðÁöÅÐ Æ®À©°ú AI°¡ ÁÖ·ù°¡ µÇ¸é¼­ RAMÀÇ ´ÙÀ½ ´Ü°è´Â ó¹æÀû ºÐ¼®°ú ÀÚÀ²Àû ÀÇ»ç°áÁ¤ ½Ã½ºÅÛÀ¸·Î ÇâÇÒ °ÍÀ¸·Î º¸ÀÔ´Ï´Ù.

ºÎ¹®

±¸¼º¿ä¼Ò(¼Ö·ç¼Ç ±¸¼º¿ä¼Ò, ¼­ºñ½º ±¸¼º¿ä¼Ò), ÀÚ»ê À¯Çü(°íÁ¤ÀÚ»ê, ¸ð¹ÙÀÏ ÀÚ»ê), µðÇ÷ÎÀÌ¸ÕÆ®(¿ÂÇÁ·¹¹Ì½º µðÇ÷ÎÀÌ¸ÕÆ®, Ŭ¶ó¿ìµå µðÇ÷ÎÀÌ¸ÕÆ®), ÃÖÁ¾»ç¿ëÀÚ(»ó¾÷¿ë ÃÖÁ¾»ç¿ëÀÚ, °³ÀÎ ÃÖÁ¾»ç¿ëÀÚ)

Á¶»ç ´ë»ó ±â¾÷ »ç·Ê

AI ÅëÇÕ

¿ì¸®´Â °ËÁõµÈ Àü¹®°¡ ÄÁÅÙÃ÷¿Í AI ÅøÀ» ÅëÇØ ½ÃÀå Á¤º¸¿Í °æÀï Á¤º¸¸¦ Çõ½ÅÇϰí ÀÖ½À´Ï´Ù.

Global Industry Analysts´Â ÀϹÝÀûÀÎ LLM ¹× ¾÷°èº° SLM Äõ¸®¸¦ µû¸£´Â ´ë½Å ºñµð¿À ±â·Ï, ºí·Î±×, °Ë»ö ¿£Áø Á¶»ç, ¹æ´ëÇÑ ¾çÀÇ ±â¾÷, Á¦Ç°/¼­ºñ½º, ½ÃÀå µ¥ÀÌÅÍ µî 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¸¦ ¿¹ÃøÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ º¹ÀâÇÏ°í ´Ù¸éÀûÀÎ ½ÃÀå ¿ªÇÐÀº ¸ÅÃâ¿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 ¿¹»óµË´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý

Á¦2Àå ÁÖ¿ä ¿ä¾à

Á¦3Àå ½ÃÀå ºÐ¼®

Á¦4Àå °æÀï

KSM
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Global Remote Asset Monitoring Market to Reach US$53.0 Billion by 2030

The global market for Remote Asset Monitoring estimated at US$16.1 Billion in the year 2024, is expected to reach US$53.0 Billion by 2030, growing at a CAGR of 22.0% over the analysis period 2024-2030. Solutions Component, one of the segments analyzed in the report, is expected to record a 23.9% CAGR and reach US$39.7 Billion by the end of the analysis period. Growth in the Services Component segment is estimated at 17.3% CAGR over the analysis period.

The U.S. Market is Estimated at US$4.4 Billion While China is Forecast to Grow at 29.7% CAGR

The Remote Asset Monitoring market in the U.S. is estimated at US$4.4 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$12.9 Billion by the year 2030 trailing a CAGR of 29.7% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 17.4% and 19.8% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 18.5% CAGR.

Global Remote Asset Monitoring Market - Key Trends & Drivers Summarized

Why Is Remote Asset Monitoring Becoming Indispensable Across Industries?

Remote asset monitoring (RAM) is a technology-driven solution that allows organizations to track, manage, and analyze physical assets located across disparate or inaccessible environments in real time. Leveraging IoT sensors, edge computing, cloud platforms, and AI, RAM systems enable continuous data capture and diagnostics of critical equipment, infrastructure, and vehicles. This real-time visibility enhances asset reliability, reduces maintenance costs, prevents downtime, and improves operational decision-making. Given the surge in distributed operations and hybrid work models, RAM is fast becoming indispensable across energy, logistics, manufacturing, and agriculture sectors.

The adoption of RAM is being driven by a fundamental need to ensure business continuity and asset utilization in remote or high-risk settings. For example, oil rigs, solar farms, and mining operations require uninterrupted monitoring for safety compliance and performance optimization. Similarly, logistics fleets and smart city infrastructure rely on RAM to track movement, fuel efficiency, and condition status. These systems integrate telemetry data with predictive maintenance algorithms, enabling early fault detection and proactive servicing. The result is not only cost efficiency but also better environmental compliance and extended asset lifecycles.

What Are the Core Technologies Powering Remote Asset Monitoring Systems?

The remote asset monitoring ecosystem is built on a multi-layered technology stack that includes edge sensors, LPWAN (Low Power Wide Area Network) connectivity, and centralized data processing platforms. Sensors measure variables such as temperature, vibration, pressure, location, and energy usage, transmitting data over wireless networks like LoRaWAN, NB-IoT, or satellite. Edge computing capabilities allow local data filtering and event-triggered alerts, reducing bandwidth load and ensuring rapid response.

Cloud-based analytics platforms serve as the command center for asset data aggregation, visualization, and reporting. These systems are often equipped with AI/ML models that interpret sensor data to detect anomalies, predict equipment failures, and generate operational insights. Cybersecurity frameworks are also becoming integral, especially for critical infrastructure and defense applications. Blockchain is emerging in RAM for asset tracking and integrity verification, particularly in supply chains where authentication and anti-counterfeiting are priorities. Integration with enterprise software systems such as ERP and SCADA ensures seamless data flow across business functions.

Which Industry Verticals Are Leading in Deployment and Innovation?

Energy and utilities are among the earliest and most mature adopters of RAM technologies. Smart grid monitoring, wind turbine performance tracking, and pipeline pressure analytics are now standard in many regions. In oil and gas, upstream and midstream operations rely on RAM to monitor drilling rigs, compressors, and pipelines in geographically remote and hazardous environments. In agriculture, RAM is being used to monitor soil moisture, irrigation systems, livestock health, and equipment usage across large tracts of farmland.

The transportation and logistics sector is experiencing rapid adoption of RAM for fleet management, cold chain integrity, and driver behavior analytics. Warehouse operators and e-commerce players are implementing real-time asset visibility to track inventory movement and prevent shrinkage. In manufacturing, RAM enables predictive maintenance for high-value equipment such as CNC machines, boilers, and HVAC systems. Construction sites are deploying remote monitoring to track heavy equipment usage, fuel consumption, and location, improving project timelines and safety compliance. Healthcare is another emerging vertical, with hospitals monitoring critical devices such as ventilators and infusion pumps in real time.

What Factors Are Driving the Growth of the Remote Asset Monitoring Market?

The growth in the remote asset monitoring market is driven by the increasing demand for operational efficiency, asset security, regulatory compliance, and digitization of legacy systems. The push for Industry 4.0 transformation has made remote monitoring a critical enabler of automation and data-driven decision-making. As global supply chains become more complex and geographically dispersed, the ability to track and manage assets remotely offers a strategic advantage.

Government regulations around emissions control, worker safety, and equipment inspection are also reinforcing RAM adoption. Real-time data from remote assets helps businesses meet compliance mandates while minimizing manual inspections. The pandemic has further accelerated remote operations, creating long-term shifts in infrastructure investment. Affordable sensors, edge devices, and connectivity solutions have lowered the entry barrier, making RAM viable even for small and mid-sized enterprises. Investor interest is growing in RAM solution providers, with venture funding and M&A activity indicating strong confidence in the sector’s growth trajectory. As digital twins and AI become mainstream, the next phase of RAM will move toward prescriptive analytics and autonomous decision-making systems.

SCOPE OF STUDY:

The report analyzes the Remote Asset Monitoring market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Solutions Component, Services Component); Asset Type (Fixed Assets, Mobile Assets); Deployment (On-Premise Deployment, Cloud Deployment); End-Use (Commercial End-Use, Individual End-Use)

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 39 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