ºÏ¹ÌÀÇ ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå ¿¹Ãø(-2030³â) : Áö¿ª ºÐ¼® - ÄÄÆ÷³ÍÆ®º°, µµÀÔº°, ±â¾÷ ±Ô¸ðº°, »ê¾÷º°
North America Real Time Production Monitoring Market Forecast to 2030 - Regional Analysis - By Component, Deployment, Enterprise Size, and Industry
»óǰÄÚµå : 1481994
¸®¼­Ä¡»ç : The Insight Partners
¹ßÇàÀÏ : 2024³â 02¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 90 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 3,450 £Ü 4,871,000
PDF (Single User License) help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù.
US $ 4,450 £Ü 6,283,000
PDF (Site License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ »ç¾÷ÀåÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 5,450 £Ü 7,695,000
PDF (Enterprise License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


Çѱ۸ñÂ÷

ºÏ¹ÌÀÇ ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀåÀº 2022³â¿¡ 18¾ï 1,318¸¸ ´Þ·¯·Î Æò°¡µÇ¸ç, 2030³â¿¡´Â 45¾ï 4,384¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, 2022-2030³âÀÇ CAGRÀº 12.2%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ°í ÀÖ½À´Ï´Ù.

Á¦Á¶¾÷¿¡¼­ ÀΰøÁö´É°ú ±â°èÇнÀÀÇ ÅëÇÕÀÌ ºÏ¹ÌÀÇ ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀåÀ» ÃËÁø

Àδõ½ºÆ®¸® 4.0Àº ±â¾÷ÀÌ Á¦Ç°À» Á¦Á¶, °³¼±, À¯ÅëÇÏ´Â ¹æ½ÄÀ» º¯È­½Ã۰í ÀÖ½À´Ï´Ù. Á¦Á¶¾÷üµéÀº »ç¹°ÀÎÅͳÝ(IoT), Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ ¹× ºÐ¼®, ÀΰøÁö´É(AI), ¸Ó½Å·¯´×°ú °°Àº ÷´Ü ±â¼úÀ» ¾÷¹«¿Í Á¦Á¶ ½Ã¼³¿¡ µµÀÔÇϰí ÀÖ½À´Ï´Ù. ÀΰøÁö´É(AI)°ú ¸Ó½Å·¯´×(ML)À» ÅëÇØ Á¦Á¶¾÷ü´Â °øÀå ÇöÀå, »ç¾÷ºÎ Àüü, ÆÄÆ®³Ê ¹× Á¦3ÀÚ Ãâó¿¡¼­ »ý¼ºµÇ´Â ¹æ´ëÇÑ ¾çÀÇ Á¤º¸¸¦ ÃæºÐÈ÷ Ȱ¿ëÇÒ ¼ö ÀÖÀ¸¸ç, AI¿Í MLÀº ÀλçÀÌÆ®¸¦ âÃâÇÏ°í ¿¹Ãø °¡´É¼º, °¡½Ã¼º, ¿î¿µ ¹× ºñÁî´Ï½º ÇÁ·Î¼¼½º ÀÚµ¿È­¸¦ Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù. Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù. µ¥ÀÌÅÍ ÀÔ·ÂÀÌ Áõ°¡ÇÔ¿¡ µû¶ó Á¦Á¶ »ê¾÷¿¡¼­ AI¿Í MLÀÇ ÅëÇÕÀÌ ÁøÇàµÇ°í ÀÖ½À´Ï´Ù. ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½Ã½ºÅÛÀº(»ç¿ëÀÚ Á¤ÀÇ ¸Å°³º¯¼ö°¡ ÀÖ´Â) ±ÔÄ¢°ú ¾Ë°í¸®ÁòÀ» ÅëÇÕÇÏ¿© ÈξÀ ´õ ½º¸¶Æ®ÇØÁú ¼ö ÀÖ½À´Ï´Ù. À̸¦ ÅëÇØ Á¦Á¶¾÷ü´Â ÄÄÇ»ÅÍÀÇ ÈûÀ» »ç¿ëÇÏ¿© ¹æ´ëÇÑ ¾çÀÇ µ¥ÀÌÅ͸¦ ½Ç½Ã°£À¸·Î ½Å¼ÓÇÏ°Ô Æò°¡ÇÏ°í »ç¶÷ÀÇ °³ÀÔ ¾øÀ̵µ ±ÔÄ¢ÀûÀÎ ¼±ÅÃÀ» ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀΰøÁö´É(AI)ÀÌ Å¾ÀçµÈ ½Ã½ºÅÛÀº Á¦Á¶ÀÇ ÀÛÀº ÆíÂ÷¿¡µµ µ¶ÀÚÀûÀ¸·Î °á·ÐÀ» ³»¸± ¼ö ÀÖÀ¸¸ç, Á¦Á¶ °øÁ¤ÀÇ º¹ÀâÇÑ ÆÐÅϰú ¿¬°ü¼ºÀ» ÆÄ¾ÇÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌó·³ AI¿Í MLÀ» Á¦Á¶¾÷¿¡ ÅëÇÕÇÏ´Â °ÍÀº ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå¿¡¼­ ¾öû³­ ±âȸ¸¦ âÃâÇÒ ¼ö ÀÖÀ¸¸ç, MES¿¡¼­ AIÀÇ ÈûÀ» ÃæºÐÈ÷ ¹ßÈÖÇϱâ À§Çؼ­´Â »ý»ê °úÁ¤¿¡¼­ ±â·ÏµÇ´Â µ¥ÀÌÅÍÀÇ Ç°Áú°ú ¼º¼÷µµ¸¦ º¸ÀåÇÏ´Â °ÍÀÌ ÇʼöÀûÀÔ´Ï´Ù. ÀáÀçÀûÀÎ ¹®Á¦¸¦ ¿¹¹æÇϰí MES¿¡¼­ AI ±â¹Ý ¼Ö·ç¼ÇÀÇ È¿À²¼ºÀ» ±Ø´ëÈ­Çϱâ À§Çؼ­´Â »ý»ê ÁÖ±â Àü¹Ý¿¡ °ÉÃÄ ½Ç½Ã°£ ÃÖÀûÈ­¿Í Á¤º¸¿¡ ÀÔ°¢ÇÑ ÀÇ»ç°áÁ¤ÀÌ ÇÊ¿äÇϸç, À̸¦ À§Çؼ­´Â µ¥ÀÌÅÍÀÇ Ç°ÁúÀ» Áö¼ÓÀûÀ¸·Î ¸ð´ÏÅ͸µÇϰí À¯ÁöÇØ¾ß ÇÕ´Ï´Ù. µû¶ó¼­ Á¦Á¶ »ê¾÷¿¡¼­ AI¿Í MLÀÇ ÅëÇÕÀº ºÏ¹Ì ½Ç½Ã°£ ¸ð´ÏÅ͸µ ½ÃÀåÀÇ Æ®·»µå°¡ µÉ ¼ö ÀÖ½À´Ï´Ù.

ºÏ¹Ì ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå °³¿ä

ÀÌ Áö¿ªÀº Àü ¼¼°è¿¡¼­ µðÁöÅÐ ±â¼úÀ» °¡Àå ¸ÕÀú µµÀÔÇÑ Áö¿ªÀ¸·Î 2012³â 5¿ù, 21¼¼±âÇü Á¤ºÎ¸¦ ±¸ÃàÇÏ°í °æÁ¦ ¼ºÀå°ú ±â¼ú µµÀÔÀÇ ¼±±¸Àڷμ­ Áö¿ª Àüü¿¡ µðÁöÅÐ Çõ¸íÀ» ÀÏÀ¸Å°±â À§ÇØ µðÁöÅÐ Á¤ºÎ Àü·«ÀÌ ½ÃÀ۵Ǿú½À´Ï´Ù, Àü ¼¼°è¿¡¼­ ºü¸£°Ô ÁøÈ­ÇÏ´Â µðÁöÅРȯ°æ¿¡¼­ °³¹ß ¹× ÀεµÀû Áö¿øÀ» À§ÇÑ µðÁöÅÐ Àü·«À» ¹ßÇ¥Çß½À´Ï´Ù. ÀÌ µðÁöÅÐ Àü·«Àº Áö¿ª °æÁ¦ ¼ºÀå¿¡ ±â¿©ÇÏ´Â ´Ù¾çÇÑ »ê¾÷À» °­È­Çϱâ À§ÇØ ±¸ÃàµÇ¾úÀ¸¸ç, 2021³â ij³ª´Ù´Â µðÁöÅÐ ¾÷¹« Á¶Á¤, IT ½Ã½ºÅÛ Çö´ëÈ­, ±â¼ú µµÀÔ ÃËÁø, ¼­ºñ½º Á¦°ø °³¼±À» ¸ñÇ¥·Î ÇÏ´Â ÃÖÃÊÀÇ µðÁöÅÐ Á¤ºÎ Àü·«À» ¹ßÇ¥Çß½À´Ï´Ù. ÀÌ·¯ÇÑ µðÁöÅÐÈ­ Áõ°¡´Â ºÏ¹Ì Àü¿ª¿¡ °ÉÃÄ µðÁöÅÐ ¼Ö·ç¼ÇÀÇ Ã¤ÅÃÀ» ÃËÁøÇϰí ÀÖÀ¸¸ç, ½ÃÀå¿¡¼­ÀÇ °æÀï ¿ìÀ§¸¦ È®º¸Çϱâ À§ÇØ Á¦Á¶ ºÎ¹® Àü¹Ý¿¡ °ÉÃÄ ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù. µðÁöÅÐÈ­´Â »ý»ê °øÁ¤¿¡ ´ëÇÑ ¹æ´ëÇÑ µ¥ÀÌÅ͸¦ »ý¼ºÇÏ´Â IoT µð¹ÙÀ̽ºÀÇ ÅëÇÕÀ¸·Î À̾îÁö°í ÀÖ½À´Ï´Ù. ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ¼Ö·ç¼ÇÀº Á¦Á¶¾÷ü°¡ »ý»ê ±â°è¿¡¼­ µ¥ÀÌÅ͸¦ ¼öÁýÇÏ°í ºÐ¼®ÇÏ¿© µ¥ÀÌÅͺ£À̽º ÀλçÀÌÆ®¸¦ ÅëÇØ ½Ç½Ã°£À¸·Î ÀÇ»ç °áÁ¤À» ³»¸± ¼ö ÀÖµµ·Ï µ½½À´Ï´Ù.

ºÏ¹Ì¿¡´Â Àü ¼¼°è »ç¿ëÀÚ¿¡°Ô ¼Ö·ç¼ÇÀ» Á¦°øÇÏ´Â ¸¹Àº ¼ÒÇÁÆ®¿þ¾î ȸ»ç°¡ ÀÖÀ¸¸ç, CompTIA¿¡ µû¸£¸é 2019³â ¹Ì±¹¿¡¼­ ¼³¸³µÈ ¼ÒÇÁÆ®¿þ¾î ¹× IT ¼­ºñ½º ȸ»ç´Â 55¸¸ 7,000°³¸¦ ³Ñ¾î¼¹½À´Ï´Ù. ÀÌ ¼Ö·ç¼ÇÀº ¿î¼Û, ¼ÒºñÀç µî ´Ù¾çÇÑ ºÐ¾ßÀÇ Á¦Á¶¾÷ü°¡ ±â°è¿¡¼­ ½Ç½Ã°£À¸·Î µ¥ÀÌÅ͸¦ ¼öÁý ¹× ó¸®ÇÏ¿© »ý»ê·®À» È¿À²ÀûÀ¸·Î ´Ã¸®±â À§ÇØ Á¦Á¶¾÷ü°¡ Á¤º¸¿¡ ÀÔ°¢ÇÑ ºñÁî´Ï½º ÀÇ»ç°áÁ¤À» ³»¸± ¼ö ÀÖµµ·Ï µ½°í ÀÖÀ¸¹Ç·Î ÀÌ Áö¿ª ¼ÒÇÁÆ®¿þ¾î °ø±Þ¾÷üÀÇ ±¤¹üÀ§ÇÑ Á¸Àç´Â MachineMetrics, Rockwell Automation, Vorne Industries, Oracle Corporation, Aspen Technology µîÀÌ ÀÌ Áö¿ªÀÇ ÁÖ¿ä ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå ±â¾÷ÀÔ´Ï´Ù. ÀÌ Áö¿ªÀÇ ÁÖ¿ä ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå ±â¾÷ÀÔ´Ï´Ù. 2021³â 11¿ù, Ŭ¶ó¿ìµå ±â¹Ý ½º¸¶Æ® Á¦Á¶ ¼Ö·ç¼ÇÀ» Á¦°øÇÏ´Â ·ÎÅ©À£ ÀÚµ¿È­(Rockwell Automation) »êÇÏ Ç÷º½º ½Ã½ºÅÛÁî(Plex Systems)´Â Plex Production MonitoringÀ» ¹ßÇ¥ÇÏ¸ç »õ·Î¿î ¼Ö·ç¼ÇÀ» µµÀÔÇÏ¿© ¸ÅÃâÀ» ³ôÀ̱â À§ÇØ Áö¼ÓÀûÀ¸·Î ³ë·ÂÇϰí ÀÖ½À´Ï´Ù. Production MonitoringÀ» ¹ßÇ¥Çß½À´Ï´Ù. ÀÌ ¼Ö·ç¼ÇÀ» ÅëÇØ Á¦Á¶¾÷ü´Â ½Ç½Ã°£ ¿î¿µ KPI¿¡ ´ëÇÑ Á¤º¸¸¦ ÅëÇØ ½Ç½Ã°£ °øÀå ÇöÀå µ¥ÀÌÅ͸¦ °¡½ÃÈ­ÇÏ¿© Áö¼ÓÀûÀÎ °³¼±À» ÃßÁøÇÒ ¼ö ÀÖ´Ù´Â °ÍÀÌ È¸»ç ÃøÀÇ ¼³¸íÀÔ´Ï´Ù.

ºÏ¹Ì ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå ¸ÅÃâ ¹× 2030³â±îÁöÀÇ ¿¹Ãø(±Ý¾×)

ºÏ¹Ì ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå ¼¼ºÐÈ­

ºÏ¹Ì ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀåÀº ÄÄÆ÷³ÍÆ®, ¹èÆ÷, ±â¾÷ ±Ô¸ð, »ê¾÷ ¹× ±¹°¡¿¡ µû¶ó ¼¼ºÐÈ­µË´Ï´Ù.

ÄÄÆ÷³ÍÆ®¸¦ ±âÁØÀ¸·Î ºÏ¹Ì ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀåÀº ¼Ö·ç¼Ç°ú ¼­ºñ½º·Î ¾çºÐµÇ¸ç, 2022³â¿¡´Â ¼Ö·ç¼Ç ºÎ¹®ÀÌ Å« ºñÁßÀ» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¹èÄ¡º°·Î ºÏ¹Ì ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀåÀº ¿ÂÇÁ·¹¹Ì½º¿Í Ŭ¶ó¿ìµå·Î ¾çºÐµÇ¾î ÀÖÀ¸¸ç, 2022³â¿¡´Â ¿ÂÇÁ·¹¹Ì½º ºÎ¹®ÀÌ ´õ Å« ºñÁßÀ» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

±â¾÷ ±Ô¸ð¿¡ µû¶ó ºÏ¹Ì ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀåÀº ´ë±â¾÷°ú Áß¼Ò±â¾÷À¸·Î ³ª´µ¸ç, 2022³â¿¡´Â ´ë±â¾÷ ºÎ¹®ÀÌ ´õ Å« Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

»ê¾÷º°·Î´Â ºÏ¹Ì ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀåÀº °øÁ¤ Á¦Á¶¿Í °³º° Á¦Á¶·Î ³ª´µ¸ç, 2022³â¿¡´Â °øÁ¤ Á¦Á¶ ºÎ¹®ÀÌ ´õ Å« Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

±¹°¡º°·Î ºÏ¹Ì ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀåÀº ¹Ì±¹, ij³ª´Ù, ¸ß½ÃÄÚ·Î ±¸ºÐµË´Ï´Ù. ¹Ì±¹ÀÌ 2022³â ºÏ¹Ì ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀåÀ» Àå¾ÇÇß½À´Ï´Ù.

Aspen Technology Inc, Capgemini SE, Dassault Systemes SE, General Electric Co, Hitachi Ltd, Infosys Ltd, Oracle Corp, Rockwell Automation Inc, Siemens AG´Â ºÏ¹Ì ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå¿¡¼­ Ȱµ¿ÇÏ´Â ÁÖ¿ä ±â¾÷ Áß ÀϺÎÀÔ´Ï´Ù.

¸ñÂ÷

Á¦1Àå ¼­·Ð

Á¦2Àå ÁÖ¿ä ¿ä¾à

Á¦3Àå Á¶»ç ¹æ¹ý

Á¦4Àå ºÏ¹ÌÀÇ ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå ±¸µµ

Á¦5Àå ºÏ¹ÌÀÇ ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå : ÁÖ¿ä »ê¾÷ ¿ªÇÐ

Á¦6Àå ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå : ºÏ¹Ì ½ÃÀå ºÐ¼®

Á¦7Àå ºÏ¹ÌÀÇ ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå ºÐ¼® : ÄÄÆ÷³ÍÆ®

Á¦8Àå ºÏ¹ÌÀÇ ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå ºÐ¼® : µµÀÔ

Á¦9Àå ºÏ¹ÌÀÇ ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå ºÐ¼® : ±â¾÷ ±Ô¸ð

Á¦10Àå ºÏ¹ÌÀÇ ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå ºÐ¼® : »ê¾÷º°

Á¦11Àå ºÏ¹ÌÀÇ ½Ç½Ã°£ »ý»ê ¸ð´ÏÅ͸µ ½ÃÀå : ±¹°¡º° ºÐ¼®

Á¦12Àå °æÀï ±¸µµ

Á¦13Àå ¾÷°è »óȲ

Á¦14Àå ±â¾÷ °³¿ä

Á¦15Àå ºÎ·Ï

KSA
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

The North America real time production monitoring market was valued at US$ 1,813.18 million in 2022 and is expected to reach US$ 4,543.84 million by 2030; it is estimated to grow at a CAGR of 12.2% from 2022 to 2030.

Integration of Artificial Intelligence and Machine Learning in Manufacturing Fuels the North America Real Time Production Monitoring Market

Industry 4.0 is transforming how businesses manufacture, improve, and distribute their goods. Manufacturers incorporate cutting-edge technology into their operations and manufacturing facilities, such as the Internet of Things (IoT), cloud computing and analytics, AI, and machine learning. Artificial intelligence (AI) and machine learning (ML) allow manufacturers to fully utilize the volume of information generated on the factory floor, across the business units, and from partners and third-party sources. AI and ML can create insights, providing predictability, visibility, and automation of operations and business processes. With the increase in data inputs, the integration of AI and ML in manufacturing is increasing. The real-time production monitoring system can be made significantly smarter by incorporating rules and algorithms (with user-defined parameters). By doing this, manufacturers are able to use the power of computers to quickly evaluate massive amounts of data in real time and make regular choices without the involvement of humans. A system powered by artificial intelligence (AI) can independently make conclusions in the event of the smallest deviations in manufacturing and is able to identify complex patterns and linkages in manufacturing processes. Thus, integrating AI and ML in manufacturing creates immense opportunities for the real-time production monitoring market, as real-time production monitoring allows the authority to be updated with updates on the shop floor. To fully realize the power of AI in MES, it is imperative to ensure the quality and maturity of the data recorded during production. To prevent potential problems and maximize the efficiency of AI-driven solutions in MES, real-time optimization and informed decision-making across the production cycle will require constant monitoring and maintenance of data quality. Thus, integration of AI and ML in manufacturing may become trend in the North America real-time monitoring market.

North America Real Time Production Monitoring Market Overview

The region is an early adopter of digital technology across the world. In May 2012, the Digital Government Strategy was launched to build a 21st-century government and bring digital revolution across the region to pioneer economic growth and technology adoption. In May 2020, the United States Agency for International Development (USAID) released Digital Strategy for development and humanitarian assistance in rapidly evolving digital landscape across the world. This digital strategy was built to strengthen various industries contributing to the region's economic growth. In 2021, Canada announced its first digital-government strategy to coordinate digital operations, modernize their IT systems, advance technology adoption, and improve service delivery. Thus, the rising digitalization fuels the adoption of digital solutions across North America, which fosters the demand for real time production monitoring solutions by players across the manufacturing sector to gain a competitive advantage in the market. Digitalization has led to the integration of IoT devices generating a huge amount of data regarding the production process. Real-time production monitoring solutions can help manufacturers capture and analyze the data from production machinery and make decisions from data-driven insights in real time.

North America has many software companies delivering their solutions to users across the world. According to CompTIA, more than 557,000 software and IT services companies had been established in the US in 2019. Thus, the wide presence of software providers in the region is contributing to the growth of the North America real time production monitoring market as this solution helps the manufacturers in various sectors such as transportation and consumer goods to collect and process data from the machine in real-time and helps the manufacturers to make informed business decisions to increase production output efficiently. MachineMetrics, Rockwell Automation, Vorne Industries Inc., Oracle Corporation, and Aspen Technology Inc are among the major real-time production monitoring market players in the region. These market players are continuously engaged to boost their revenue by introducing new solutions. In November 2021, Plex Systems, a Rockwell Automation Company that provides cloud-based smart manufacturing solutions, launched Plex Production Monitoring. The company claims that the solution can help manufacturers gain visibility into real-time plant floor data through information regarding real-time operational KPIs to drive continuous improvements.

North America Real Time Production Monitoring Market Revenue and Forecast to 2030 (US$ Million)

North America Real Time Production Monitoring Market Segmentation

The North America real time production monitoring market is segmented based on component, deployment, enterprise size, industry, and country.

Based on component, the North America real time production monitoring market is bifurcated into solution and services. The solution segment held a larger share in 2022.

By deployment, the North America real time production monitoring market is bifurcated into on-premise and cloud. The on-premise segment held a larger share in 2022.

By enterprise size, the North America real time production monitoring market is bifurcated into large enterprise and SMEs. The large enterprise segment held a larger share in 2022.

By industry, the North America real time production monitoring market is bifurcated into process manufacturing and discrete manufacturing. The process manufacturing segment held a larger share in 2022.

Based on country, the North America real time production monitoring market is segmented into the US, Canada, and Mexico. The US dominated the North America real time production monitoring market in 2022.

Aspen Technology Inc, Capgemini SE, Dassault Systemes SE, General Electric Co, Hitachi Ltd, Infosys Ltd, Oracle Corp, Rockwell Automation Inc, and Siemens AG are some of the leading companies operating in the North America real time production monitoring market.

Table Of Contents

1. Introduction

2. Executive Summary

3. Research Methodology

4. North America Real Time Production Monitoring Market Landscape

5. North America Real Time Production Monitoring Market - Key Industry Dynamics

6. Real Time Production Monitoring Market - North America Market Analysis

7. North America Real Time Production Monitoring Market Analysis - Component

8. North America Real Time Production Monitoring Market Analysis - Deployment

9. North America Real Time Production Monitoring Market Analysis - Enterprise Size

10. North America Real Time Production Monitoring Market Analysis - Industry

11. North America Real Time Production Monitoring Market - Country Analysis

12. Competitive Landscape

13. Industry Landscape

14. Company Profiles

15. Appendix

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