![]() |
½ÃÀ庸°í¼
»óǰÄÚµå
1551323
¼¼°èÀÇ ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛ ½ÃÀå ¿¹Ãø : ½Ã½ºÅÛº°, ÄÄÆ÷³ÍÆ®º°, Àü°³ ¸ðµåº°, Á¦¾î Àü·«º°, ÃÖÁ¾ »ç¿ëÀÚº°, Áö¿ªº° ºÐ¼®(-2030³â)Process Control Systems Market Forecasts to 2030 - Global Analysis by System (SCADA, DCS, PLC, MES, PLM, ERP, HMI and Other Systems), Component (Hardware, Software and Services), Deployment Mode, Control Strategy, End User and By Geography |
Stratistics MRC¿¡ µû¸£¸é ¼¼°èÀÇ ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛ ½ÃÀåÀº ¿¹Ãø ±â°£ µ¿¾È CAGR 8.8%·Î ¼ºÀåÇÒ Àü¸ÁÀÔ´Ï´Ù.
ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛÀº »ê¾÷ ȯ°æ¿¡¼ »ý»ê ÇÁ·Î¼¼½º¸¦ ÃßÀûÇÏ°í °ü¸®ÇÏ´Â µ¥ »ç¿ëµÇ´Â ÀÚµ¿ÈµÈ ÇÁ·¹ÀÓ¿öÅ©ÀÔ´Ï´Ù. ¿Âµµ, ¾Ð·Â, À¯·®, ·¹º§ µîÀÇ º¯¼ö¸¦ Á¶Á¤ÇÏ¿© ÀϰüµÈ ÀÛµ¿À» º¸ÀåÇϰí È¿À²¼ºÀ» Çâ»ó½Ã۰í Á¦Ç° ǰÁúÀ» À¯ÁöÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ½Ã½ºÅÛÀº µ¥ÀÌÅ͸¦ ¼öÁýÇϰí Á¦¾î Àü·«À» ½ÇÇàÇϸç Çϵå¿þ¾î¿Í ¼ÒÇÁÆ®¿þ¾î¸¦ ÅëÇØ ¿î¿µÀÚ¿¡°Ô ½Ç½Ã°£ Çǵå¹éÀ» Á¦°øÇÏ¿© ¼º´ÉÀ» ÃÖÀûÈÇÏ°í º¹ÀâÇÑ »ê¾÷ ÇÁ·Î¼¼½º¿¡¼ ¼öµ¿ °³ÀÔÀ» ÃÖ¼ÒÈÇÕ´Ï´Ù.
¹Ì±¹ ³ëµ¿ Åë°è±¹ÀÇ µ¥ÀÌÅÍ¿¡ µû¸£¸é, ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛ¿¡ Á¾»çÇÏ´Â »ç¶÷À» Æ÷ÇÔÇÑ Á¦¾î ¹× ¹ëºê ¼³Ä¡ ¹× ¼ö¸®¾÷üÀÇ °í¿ëÀº 2020³â¿¡¼ 2030³â¿¡ °ÉÃÄ 5% Áõ°¡ÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.
È¿À²¼º ¹× »ý»ê¼º Çâ»ó
ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛÀº »ê¾÷ ÇÁ·Î¼¼½ºÀÇ ¾÷¹« È¿À²¼º°ú »ý»ê¼ºÀ» Å©°Ô Çâ»ó½Ãŵ´Ï´Ù. º¹ÀâÇÑ ÀÛ¾÷À» ÀÚµ¿ÈÇϰí, ÀÎÀû ½Ç¼ö¸¦ ÁÙÀ̰í, ÀÚ¿ø Ȱ¿ëÀ» ÃÖÀûÈÇÔÀ¸·Î½á, ÀÌ·¯ÇÑ ½Ã½ºÅÛÀº »ý»ê »çÀÌŬÀÇ °¡¼ÓÈ, ¾ÈÁ¤ÀûÀÎ Á¦Ç° ǰÁú ¹× ´Ù¿îŸÀÓ °¨¼Ò¸¦ °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. ¶ÇÇÑ ½Ç½Ã°£ µ¥ÀÌÅÍ¿Í ºÐ¼®À» Á¦°øÇÏ¿© ½Å¼ÓÇÑ ÀÇ»ç°áÁ¤°ú Áö¼ÓÀûÀÎ ÇÁ·Î¼¼½º °³¼±À» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. ¼¼°èȰ¡ ÁøÇàµÇ´Â ½ÃÀå¿¡¼ °æÀï·ÂÀ» À¯ÁöÇÏ·Á´Â »ê¾÷¿¡ ÀÖ¾î¼, ÀÌ·¯ÇÑ ÃËÁø¿äÀÎÀº ƯÈ÷ Áß¿äÇÕ´Ï´Ù.
³ôÀº Ãʱâ ÅõÀÚ
ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛÀÇ µµÀÔ¿¡´Â Çϵå¿þ¾î, ¼ÒÇÁÆ®¿þ¾î, ¼³Ä¡, ±³À° ºñ¿ë µî ¸¹Àº Ãʱâ ÅõÀÚ°¡ ÇÊ¿äÇÕ´Ï´Ù. ÀÌ °í¾×ÀÇ Ãʱâ ÅõÀڴ ƯÈ÷ ÀÚº»·ÂÀÌ Á¦ÇÑµÈ Áß¼Ò±â¾÷ÀÇ °æ¿ì Å« À庮ÀÌ µÉ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ÀÌ·¯ÇÑ ½Ã½ºÅÛÀ» ±âÁ¸ ÀÎÇÁ¶ó¿Í ÅëÇÕÇÏ´Â º¹À⼺°ú ÇÁ·Î¼¼½º Àç¼³°è°¡ ÇÊ¿äÇÒ ¼ö ÀÖ¾î ºñ¿ëÀ» ´õ¿í ³ôÀÏ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Á¦¾àÀº ƯÈ÷ ÀÌÀÍ·üÀÌ ¾ö°ÝÇÑ »ê¾÷À̳ª °æÁ¦ ºÒÈ®½Ç¼º¿¡ Á÷¸éÇÑ ¾÷°è¿¡¼´Â ä¿ë·üÀ» µÐȽÃų ¼ö ÀÖ½À´Ï´Ù.
Industry 4.0 ¹× µðÁöÅÐ º¯È¯
ÇöÀç ÁøÇà ÁßÀÎ Àδõ½ºÆ®¸® 4.0°ú µðÁöÅÐ º¯È¯ÀÇ µ¿ÇâÀº ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛ ½ÃÀå¿¡ Å« ±âȸ¸¦ Á¦°øÇÕ´Ï´Ù. »ê¾÷°è¿¡¼ ½º¸¶Æ® Á¦Á¶ ±â¼úÀÇ µµÀÔÀÌ ÁøÇàµÊ¿¡ µû¶ó IoT µð¹ÙÀ̽º, AI, ºò µ¥ÀÌÅÍ ºÐ¼®°ú ÅëÇÕÇÒ ¼ö ÀÖ´Â °í±Þ Á¦¾î ½Ã½ºÅÛ¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ÀÌ ÅëÇÕÀ» ÅëÇØ ¿¹Ãø À¯Áö º¸¼ö, ÀûÀÀ ÇÁ·Î¼¼½º Á¦¾î ¹× ÀÇ»ç °áÁ¤ Áö¿øÀ» °ÈÇÒ ¼ö ÀÖ½À´Ï´Ù. ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛÀº ÀÌ µðÁöÅÐ º¯È¯¿¡ Áß¿äÇÑ ¿ªÇÒÀ» ÇÏ´Â ÀÔÀå¿¡ ÀÖÀ¸¸ç »ê¾÷°è°¡ º¸´Ù ³ôÀº ¼öÁØÀÇ ÀÚµ¿È¿Í ÀÎÅÚ¸®Àü½º¸¦ ´Þ¼ºÇÏ´Â µ¥ µµ¿òÀÌ µÇ´Â ¼Ö·ç¼ÇÀ» Á¦°øÇÕ´Ï´Ù.
»çÀ̹ö º¸¾È °ø°Ý
»ê¾÷ ÇÁ·Î¼¼½ºÀÇ ¿¬°á¼º°ú µðÁöÅÐȰ¡ ÁøÇàµÊ¿¡ µû¶ó ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛÀº »çÀ̹ö º¸¾È À§Çù¿¡ ³ëÃâµÇ±â ½¬¿öÁö°í ÀÖ½À´Ï´Ù. ¾ÇÀÇÀûÀÎ ÇàÀ§ÀÚ´Â ÀáÀçÀûÀ¸·Î Ãë¾à¼ºÀ» ¾Ç¿ëÇÏ¿© ¾÷¹«¸¦ ¹æÇØÇϰųª ±â¹Ð µ¥ÀÌÅ͸¦ ÈÉÄ¡°Å³ª Àåºñ¿¡ ¹°¸®Àû ¼Õ»óÀ» ÀÔÈú ¼ö ÀÖ½À´Ï´Ù. ÀÌ À§ÇùÀº Áß¿äÇÑ ÀÎÇÁ¶ó¿Í ±â¹Ð ÀçÁúÀ» ´Ù·ç´Â »ê¾÷¿¡ ƯÈ÷ ¿ì·ÁÇØ¾ß ÇÕ´Ï´Ù. °ß°íÇÑ »çÀ̹ö º¸¾È ´ëÃ¥ÀÇ Çʿ伺Àº ½Ã½ºÅÛÀÇ µµÀÔ°ú À¯Áöº¸¼ö¿¡ º¹À⼺°ú ºñ¿ëÀ» Ãß°¡Çϰí ÀϺΠÁ¶Á÷ÀÌ ÀÌ·¯ÇÑ ±â¼úÀ» äÅÃÇϰųª ÃæºÐÈ÷ Ȱ¿ëÇÏ´Â °ÍÀ» ¸Á¼³ÀÏ ¼ö ÀÖ½À´Ï´Ù.
COVID-19ÀÇ ´ëÀ¯ÇàÀº ´çÃÊ °ø±Þ¸Á ¹®Á¦¿Í »ê¾÷ Ȱµ¿ ÀúÇÏ·Î ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛ ½ÃÀåÀ» È¥¶õ½ÃÄ×½À´Ï´Ù. ±×·¯³ª µðÁöÅÐ Àüȯ¿¡ ´ëÇÑ ´ëóµµ °¡¼ÓµÇ¾î ¿ø°Ý °¨½Ã ¹× Á¦¾î ±â´É¿¡ ´ëÇÑ ¼ö¿ä°¡ ³ô¾ÆÁ³½À´Ï´Ù. ÆÒµ¥¹ÍÀº ÀÚµ¿È¿Í ź·ÂÀûÀÎ »ê¾÷ ÇÁ·Î¼¼½ºÀÇ Á߿伺À» ºÎ°¢½ÃÄÑ ½ÃÀåÀÇ Àå±â ¼ºÀåÀ» °¡¼ÓÇÒ ¼ö ÀÖ½À´Ï´Ù.
¿¹Ãø ±â°£ µ¿¾È ¼ÒÇÁÆ®¿þ¾î ºÐ¾ß°¡ ÃÖ´ë鵃 Àü¸Á
¼ÒÇÁÆ®¿þ¾î ºÐ¾ß°¡ ½ÃÀåÀ» µ¶Á¡ÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ¼ÒÇÁÆ®¿þ¾î´Â ÃֽŠÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛ¿¡¼ ¸Å¿ì Áß¿äÇÏ¸ç º¹ÀâÇÑ »ê¾÷ ¿î¿µ¿¡ ÇÊ¿äÇÑ ÀÎÅÚ¸®Àü½º¿Í À¯¿¬¼ºÀ» Á¦°øÇÕ´Ï´Ù. °í±Þ Á¦¾î ¾Ë°í¸®Áò, µ¥ÀÌÅÍ ºÐ¼® ¹× ±âŸ ±â¾÷ ½Ã½ºÅÛ°úÀÇ ÅëÇÕÀ» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. »ê¾÷ÀÌ µðÁöÅÐ Àüȯ°ú ½º¸¶Æ® ¸Å´ºÆÑ󸵿¡ Á¡Á¡ ´õ ÁßÁ¡À» µÎ°Ô µÇ¸é¼ °í±Þ Á¦¾î ¼ÒÇÁÆ®¿þ¾î¿¡ ´ëÇÑ ¼ö¿ä°¡ È®´ëµÉ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
¿¹Ãø±â°£ µ¿¾È »ý¸í°úÇÐ ºÐ¾ßÀÇ CAGRÀÌ °¡Àå ³ô¾ÆÁú Àü¸Á
»ý¸í°úÇÐ ºÐ¾ß´Â ¿¹Ãø ±â°£ µ¿¾È ±Þ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛÀº Á¦Ç°ÀÇ Ç°Áú, Àϰü¼º ¹× ¾ö°ÝÇÑ ±ÔÁ¤ Áؼö¸¦ º¸ÀåÇÏ´Â µ¥ ÇʼöÀûÀÔ´Ï´Ù. ¹ÙÀÌ¿ÀÇÁ·Î¼¼½º¿¡ ´ëÇÑ Á¤È®ÇÑ Á¦¾îÀÇ Çʿ伺, °³ÀÎÈµÈ ÀÇ·á¿¡ ´ëÇÑ µ¿Çâ, ½ÇÇè½Ç ÇÁ·Î¼¼½º ÀÚµ¿ÈÀÇ ÁøÀüÀÌ ÀÌ ºÐ¾ß¿¡¼ÀÇ °íµµ Á¦¾î ½Ã½ºÅÛÀÇ ±Þ¼ÓÇÑ Ã¤¿ëÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ COVID-19ÀÇ ´ëÀ¯ÇàÀº »ý¸í°úÇÐ ¿¬±¸ ¹× Á¦Á¶¿¡ ´ëÇÑ ÅõÀÚ¸¦ ´õ¿í °¡¼ÓÈÇϰí Á¤±³ÇÑ ÇÁ·Î¼¼½º Á¦¾î ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä¸¦ ³ôÀ̰í ÀÖ½À´Ï´Ù.
ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛ ½ÃÀå¿¡¼ ºÏ¹ÌÀÇ ÀÌÁ¡Àº ÷´Ü »ê¾÷ ÀÎÇÁ¶ó, ½Å±â¼úÀÇ ³ôÀº ä¿ë·ü, ¼±µµÀûÀÎ ¾÷°è ¼±¼öµéÀÇ Å« Á¸Àç°¨¿¡ ±âÀÎÇÕ´Ï´Ù. ÀÌ Áö¿ªÀº »ê¾÷ ÀÚµ¿È, ¾ö°ÝÇÑ ±ÔÁ¦ ±âÁØ, ¼®À¯, °¡½º ¹× ÈÇÐ µîÀÇ ºÐ¾ß¿¡¼ ÁøÇà ÁßÀÎ µðÁöÅÐ º¯È¯¿¡ ´ëÇÑ ³ë·Â¿¡ ÁßÁ¡À» µÎ°í ÀÖÀ¸¸ç, °í±Þ ÇÁ·Î¼¼½º Á¦¾î ¼Ö·ç¼Ç ¼ö¿ä¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù. °Ô´Ù°¡ ¿¬±¸°³¹ßÀÇ ºÏ¹Ì ¸®´õ½ÊÀº Á¦¾î ½Ã½ºÅÛ ±â¼úÀÇ Áö¼ÓÀûÀÎ Çõ½Å¿¡ ±â¿©Çϰí ÀÖ½À´Ï´Ù.
¾Æ½Ã¾ÆÅÂÆò¾çÀº ÇÁ·Î¼¼½º Á¦¾î ½Ã½ºÅÛ ½ÃÀåÀÇ ±Þ¼ÓÇÑ ¼ºÀåÀ» º¸¿©ÁÙ °ÍÀ¸·Î ÃßÁ¤µË´Ï´Ù. ÀÌ Áö¿ªÀÇ Á¦Á¶¾÷, ƯÈ÷ Áß±¹À̳ª Àεµ µî ±¹°¡¿¡¼´Â °æÀï·Â °È¸¦ À§ÇØ ÀÚµ¿È ±â¼úÀÇ µµÀÔÀÌ ÁøÇàµÇ°í ÀÖ½À´Ï´Ù. ÀÎÇÁ¶ó Á¤ºñ¿¡ ¾öû³ ÅõÀÚ, ±Þ¼ÓÇÑ »ê¾÷È, ½º¸¶Æ® ¸Å´ºÆÑó¸µÀ» ÃßÁøÇÏ´Â Á¤ºÎÀÇ ÀÌ´Ï¼ÅÆ¼ºêÀÌ °í±Þ°øÁ¤Á¦¾î(APC) ½Ã½ºÅÛ ¼ö¿ä¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ ¿¡³ÊÁö È¿À²°ú ȯ°æ ±ÔÁ¦¿¡ ´ëÇÑ °ü½ÉÀÌ ³ô¾ÆÁö¸é¼ ÀÌ Áö¿ªÀÇ ´Ù¾çÇÑ »ê¾÷¿¡¼ º¸´Ù Á¤±³ÇÑ Á¦¾î ¼Ö·ç¼ÇÀÇ Ã¤ÅÃÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù.
According to Stratistics MRC, the Global Process Control Systems Market is growing at a CAGR of 8.8% during the forecast period. Process control systems are automated frameworks that are used to track and manage production processes in industrial environments. Through the regulation of variables like temperature, pressure, flow, and level, they guarantee consistent operation, improve efficiency, and preserve product quality. These systems optimize performance and minimize manual intervention in intricate industrial processes by gathering data, executing control strategies, and giving operators real-time feedback through hardware and software.
According to data from the U.S. Bureau of Labor Statistics, employment of control and valve installers and repairers, including those working with process control systems, is projected to grow 5% from 2020 to 2030.
Enhanced efficiency and productivity
Process control systems significantly improve operational efficiency and productivity in industrial processes. By automating complex tasks, reducing human error, and optimizing resource utilization, these systems enable faster production cycles, consistent product quality, and reduced downtime. They also provide real-time data and analytics, allowing for quick decision-making and continuous process improvement. This driver is particularly important as industries seek to remain competitive in an increasingly globalized market.
High initial investment
The implementation of process control systems often requires substantial upfront costs, including hardware, software, installation, and training expenses. This high initial investment can be a significant barrier, especially for small and medium-sized enterprises with limited capital. Additionally, the complexity of integrating these systems with existing infrastructure and the potential need for process redesign can further increase costs. This restraint may slow adoption rates, particularly in industries with tight profit margins or those facing economic uncertainties.
Industry 4.0 and digital transformation
The ongoing trend of Industry 4.0 and digital transformation presents a significant opportunity for the process control systems market. As industries increasingly adopt smart manufacturing technologies, there is a growing demand for advanced control systems that can integrate with IoT devices, AI, and big data analytics. This integration enables predictive maintenance, adaptive process control, and enhanced decision support. Process control systems are well-positioned to play a crucial role in this digital transformation, offering solutions that can help industries achieve higher levels of automation and intelligence.
Cybersecurity attacks
The increasing connectivity and digitalization of industrial processes make process control systems vulnerable to cybersecurity threats. Malicious actors could potentially exploit vulnerabilities to disrupt operations, steal sensitive data, or cause physical damage to equipment. This threat is particularly concerning for critical infrastructure and industries handling sensitive materials. The need for robust cybersecurity measures adds complexity and cost to system implementation and maintenance, potentially deterring some organizations from adopting or fully leveraging these technologies.
The COVID-19 pandemic initially disrupted the process control systems market due to supply chain issues and reduced industrial activity. However, it also accelerated digital transformation efforts, increasing demand for remote monitoring and control capabilities. The pandemic highlighted the importance of automation and resilient industrial processes, potentially driving long-term growth in the market.
The software segment is expected to be the largest during the forecast period
The software segment is expected to dominate the market. Software is crucial in modern process control systems, providing the intelligence and flexibility needed for complex industrial operations. It enables advanced control algorithms, data analytics, and integration with other enterprise systems. As industries increasingly focus on digital transformation and smart manufacturing, the demand for sophisticated control software is expected to grow.
The life sciences segment is expected to have the highest CAGR during the forecast period
The life sciences segment is expected to experience rapid growth over the forecast period. Process control systems are essential for ensuring product quality, consistency, and compliance with stringent regulations. The need for precise control in bioprocessing, the trend towards personalized medicine, and the increasing automation of laboratory processes are driving the rapid adoption of advanced control systems in this sector. Additionally, the COVID-19 pandemic has further accelerated investment in life sciences research and manufacturing, boosting demand for sophisticated process control solutions.
North America's dominance in the process control systems market can be attributed to its advanced industrial infrastructure, high adoption rates of new technologies, and significant presence of major industry players. The region's focus on industrial automation, stringent regulatory standards, and ongoing digital transformation initiatives in sectors like oil and gas and chemicals drive the demand for sophisticated process control solutions. Additionally, North America's leadership in research and development contributes to the continuous innovation in control system technologies.
The Asia Pacific region is estimated to witness rapid growth in the process control systems market. The region's booming manufacturing sector, particularly in countries like China and India, is increasingly adopting automation technologies to enhance competitiveness. Significant investments in infrastructure development, rapid industrialization, and government initiatives promoting smart manufacturing are fueling the demand for advanced process control systems. Additionally, the growing focus on energy efficiency and environmental regulations is driving the adoption of more sophisticated control solutions across various industries in the region.
Key players in the market
Some of the key players in Process Control Systems market include Siemens AG, ABB Ltd., Rockwell Automation, Inc., Schneider Electric SE, Honeywell International Inc., Emerson Electric Co., General Electric Company, Mitsubishi Electric Corporation, Omron Corporation, Yokogawa Electric Corporation, Omega Engineering, Chemtrols Industries Limited, Cotmac Electronics Pvt Ltd, Parker-Hannifin Corporation, Flowserve Corporation, Azbil Corporation, Baker Hughes Company, and Valmet.
In April 2023, Siemens and Microsoft are harnessing the collaborative power of generative artificial intelligence (AI) to help industrial companies drive innovation and efficiency across the design, engineering, manufacturing and operational lifecycle of products. To enhance cross-functional collaboration, the companies are integrating Siemens' Teamcenter(R) software for product lifecycle management (PLM) with Microsoft's collaboration platform Teams and the language models in Azure OpenAI Service as well as other Azure AI capabilities. At Hannover Messe, the two technology leaders will demonstrate how generative AI can enhance factory automation and operations through AI-powered software development, problem reporting and visual quality inspection.
In July 2020, ABB's new analytics and AI software helps producers optimize operations. It collects, contextualizes and converts operational, engineering and information technology data into actionable insights that help industries improve operations, optimize asset management and streamline business processes safely and sustainably. ABB's new solution operates as a digital data convergence point where streams of information from diverse sources across the plant and enterprise are put into context through a unified analytics model.