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Main Automation Contractor (MAC) in Oil and Gas Industry
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¼®À¯ ¹× °¡½º »ê¾÷ ÁÖ¿ä ÀÚµ¿È­ °è¾à¾÷ü(MAC) ¼¼°è ½ÃÀåÀº 2030³â±îÁö 15¾ï ´Þ·¯¿¡ ´ÞÇÒ Àü¸Á

2024³â¿¡ 11¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ¼®À¯ ¹× °¡½º »ê¾÷ ÁÖ¿ä ÀÚµ¿È­ °è¾à¾÷ü(MAC) ¼¼°è ½ÃÀåÀº 2024³âºÎÅÍ 2030³â±îÁö CAGR 5.3%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 15¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ ¾÷½ºÆ®¸² ºÎ¹®Àº CAGR 6.4%¸¦ ±â·ÏÇÏ¸ç ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 9¾ï 3,400¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ¹Ìµå½ºÆ®¸² ºÎ¹® ºÎ¹®ÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£ µ¿¾È CAGR 3.6%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 3¾ï 590¸¸ ´Þ·¯·Î ÃßÁ¤, Áß±¹Àº CAGR 8.6%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ ¼®À¯ ¹× °¡½º »ê¾÷ ÁÖ¿ä ÀÚµ¿È­ °è¾à¾÷ü(MAC) ½ÃÀåÀº 2024³â¿¡ 3¾ï 590¸¸ ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ °æÁ¦ ´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 3¾ï 950¸¸ ´Þ·¯ÀÇ ½ÃÀå ±Ô¸ð¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³â CAGRÀº 8.6%¸¦ ±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 °¢°¢ 2.5%¿Í 5.3%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR 3.4%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°èÀÇ ¼®À¯ ¹× °¡½º »ê¾÷ ÁÖ¿ä ÀÚµ¿È­ °è¾à¾÷ü(MAC) ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

¼®À¯ ¹× °¡½º »ç¾÷ÀÚ°¡ ÁÖ¿ä ÀÚµ¿È­ °è¾à¾÷ü(MAC)¿¡ ÁÖ¸ñÇÏ´Â ÀÌÀ¯´Â ¹«¾ùÀϱî?

º¹ÀâÇϰí ÀÚº» Áý¾àÀûÀÎ ¼®À¯ ¹× °¡½º(O&G) »ê¾÷¿¡¼­ ¿£µåÅõ¿£µå ÀÚµ¿È­ ÅëÇÕ, ÇÁ·ÎÁ§Æ® ¸®½ºÅ© °¨¼Ò, ¶óÀÌÇÁ»çÀÌŬ Áö¿øÀ» Á¦°øÇÏ´Â Àü·«Àû ÆÄÆ®³Ê·Î¼­ ÁÖ¿ä ÀÚµ¿È­ °è¾àÀÚ(MAC)°¡ ºÎ»óÇϰí ÀÖ½À´Ï´Ù. MACÀº ¾÷½ºÆ®¸², ¹Ìµå½ºÆ¼¸², ´Ù¿î½ºÆ®¸² °¢ ÀÛ¾÷¿¡¼­ ÀÚµ¿È­ ½Ã½ºÅÛÀÇ °èȹ, ¼³°è, Á¶´Þ, µµÀÔÀ» ´ã´çÇϰí ÀÖ½À´Ï´Ù. ƯÈ÷ ÇØ¾ç Ç÷§Æû, LNG Ç÷£Æ®, ¼®À¯È­ÇÐ Á¤Á¦¼Ò µî ±×¸°ÇÊµå ¹× ºê¶ó¿îÇʵå ÇÁ·ÎÁ§Æ®ÀÇ ±Ô¸ð¿Í º¹À⼺ÀÌ Áõ°¡ÇÔ¿¡ µû¶ó MACÀÇ ¿ªÇÒÀº »óÈ£¿î¿ë¼º, ÀÏÁ¤ Áؼö, ½Ã½ºÅÛ ½Å·Ú¼ºÀ» º¸ÀåÇÏ´Â µ¥ ÀÖ¾î ÇÙ½ÉÀûÀÎ ¿ªÇÒÀ» Çϰí ÀÖ½À´Ï´Ù.

¿©·¯ °ø±Þ¾÷ü¿Í ÅëÇÕ¾÷ü°¡ »çÀÏ·ÎÈ­µÈ ¼Ö·ç¼ÇÀ» Á¦°øÇÏ´Â ÀüÅëÀûÀÎ ÀÚµ¿È­ Á¶´Þ¿¡ ´ëÇÑ ¼¼ºÐÈ­µÈ Á¢±Ù ¹æ½ÄÀº Á¾Á¾ ´ÜÆíÈ­µÈ ½Ã½ºÅÛ, Áö¿¬µÈ ÀÏÁ¤, ³ôÀº ÃѼÒÀ¯ºñ¿ëÀ¸·Î À̾îÁý´Ï´Ù. MACÀº ºÐ»ê Á¦¾î ½Ã½ºÅÛ(DCS), ¾ÈÀü °èÃø ½Ã½ºÅÛ(SIS), ÇöÀå °èÃø, »çÀ̹ö º¸¾È ÇÁ·¹ÀÓ¿öÅ©, Åë½Å ÇÁ·ÎÅäÄÝÀ» ÅëÇÕÇÏ¿© ÀϰüµÈ ÀÚµ¿È­ Àü·«À» ½ÇÇöÇÏ´Â ´ÜÀÏ ÁöÁ¡ Ã¥ÀÓ Á¦°øÀÚ ¿ªÇÒÀ»ÇÔÀ¸·Î½á ÀÌ·¯ÇÑ ¹®Á¦¸¦ ¿ÏÈ­ÇÕ´Ï´Ù. ¹®Á¦¸¦ ¿ÏÈ­ÇÕ´Ï´Ù. ÀÌ ÅÏŰ ¸ðµ¨Àº ÇÁ·ÎÁ§Æ® ¼ÒÀ¯ÀÚÀÇ º¥´õ Á¶Á¤¿¡ ´ëÇÑ ºÎ´ãÀ» ÁÙÀ̰í, ù³¯ºÎÅÍ Ç÷£Æ® ¼º´É ¸ñÇ¥¿¡ ¸Â°Ô ÀÚµ¿È­¸¦ Á¶Á¤ÇÒ ¼ö ÀÖ½À´Ï´Ù.

Áß»êÃþ°ú ºÎÀ¯ÃþÀº µðÁöÅÐ Àüȯ°ú ¿¡³ÊÁö ÀüȯÀ» ¾î¶»°Ô Áö¿øÇϰí Àִ°¡?

Áß»êÃþ°ú ºÎÀ¯ÃþÀº ½Å±Ô ¹× ±âÁ¸ ¼³ºñ¿¡ °íµµÀÇ ÀÚµ¿È­, »ê¾÷¿ë IoT, ¿ø°Ý Á¦¾î ¹× ºÐ¼®ÀÌ °¡´ÉÇÑ ¾ÆÅ°ÅØÃ³¸¦ ÅëÇÕÇÏ¿© ¼®À¯ ¹× °¡½º ÇÁ·ÎÁ§Æ®ÀÇ µðÁöÅÐÈ­¸¦ ÃËÁøÇÏ´Â ÀÓ¹«¸¦ Á¡Á¡ ´õ ¸¹ÀÌ ´ã´çÇϰí ÀÖ½À´Ï´Ù. ¿§Áö ÄÄÇ»ÆÃ ÀåÄ¡, Ŭ¶ó¿ìµå Ç÷§Æû, ¹«¼± ¼¾¼­ ³×Æ®¿öÅ©¸¦ µµÀÔÇÏ¿© À¯Á¤, ÆÄÀÌÇÁ¶óÀÎ, ó¸® Ç÷£Æ® Àü¹Ý¿¡ °ÉÃÄ ¿¹Áöº¸Àü, ½Ç½Ã°£ µ¥ÀÌÅÍ ½Ã°¢È­, ¿î¿µ»óÀÇ ÀλçÀÌÆ®¸¦ °¡´ÉÇÏ°Ô Çϰí ÀÖ½À´Ï´Ù. ¿î¿µ±â¼ú(OT)°ú Á¤º¸±â¼ú(IT)ÀÇ À¶ÇÕÀº µðÁöÅÐ Æ®À©, AI¸¦ Ȱ¿ëÇÑ Áø´Ü, Áß¾ÓÁýÁßÇü Ä¿¸Çµå ¼¾Å͸¦ Á¦°øÇϱâ À§ÇØ Áß»êÃþ°ú ºÎÀ¯Ãþ¿¡ ÀÇÇØ Á¶Á÷È­µÇ°í ÀÖ½À´Ï´Ù.

¼®À¯ ¹× °¡½º »ç¾÷ÀÚµéÀÌ Å»Åº¼ÒÈ­ ¹× ESG ¸ñÇ¥ ´Þ¼ºÀ» À§ÇØ ³ë·ÂÇϰí ÀÖ´Â °¡¿îµ¥, Áß»êÃþ ¹× ºÎÀ¯ÃþÀº ¹èÃâ°¡½º ¸ð´ÏÅ͸µ, ¿¡³ÊÁö °ü¸® ½Ã½ºÅÛ, Áö´ÉÇü Á¦¾î Ç÷§ÆûÀ» ÅëÇÕÇÏ¿© Ç÷¹¾î¸µ °¨¼Ò, ¿¬·á »ç¿ë ÃÖÀûÈ­, ´©Ãâ °¨Áö µîÀ» ½ÇÇöÇϰí ÀÖ½À´Ï´Ù. LNG ¹× ÇØ¾ç Ç÷§Æû¿¡¼­ MACÀº ÀÚÀ²ÁÖÇà ¹× ¹«ÀÎ ÀÚ»ê °ü¸® Àü·«À» ÃËÁøÇÏ¿© ÀÎü ³ëÃâ ¹× ¿î¿µ ºñ¿ëÀ» Àý°¨Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ±×¸° ¼ö¼Ò ¹× ź¼Ò ȸ¼ö ÇÁ·ÎÁ§Æ®ÀÇ ºÎ»óÀ¸·Î ¿¡³ÊÁö ÀüȯÀÇ ÃÊâ±â¿¡ ÀÖ´Â ÀÎÇÁ¶ó¿¡¼­ MACÀÌ ÀÚµ¿È­ Ç¥ÁØÀ» Á¤ÀÇÇÒ ¼ö ÀÖ´Â »õ·Î¿î ±âȸ°¡ »ý°Ü³ª°í ÀÖ½À´Ï´Ù.

Ç¥ÁØÈ­´Â Áß»êÃþ°ú ºÎÀ¯ÃþÀÌ Àå±âÀûÀÎ ÀÚ»ê ¶óÀÌÇÁ»çÀÌŬ °èȹÀ» ¼¼¿ì´Â µ¥ ÀÖ¾î Áß¿äÇÑ ÀÌÁ¡ÀÔ´Ï´Ù. MACÀº Á¾ÇÕÀûÀÎ ÀÚµ¿È­ ¶óÀ̺귯¸®, ±â´É ºí·Ï, ¸ðµâ½Ä ÅÛÇø´À» °³¹ßÇÏ¿© ÇâÈÄ ¾÷±×·¹À̵带 °£¼ÒÈ­Çϰí, Àüü ÀÚ»êÀÇ Àϰü¼ºÀ» º¸ÀåÇϸç, ÀÛ¾÷ÀÚÀÇ ÇнÀ ±â°£À» ´ÜÃàÇÕ´Ï´Ù. È®Àå °¡´ÉÇÑ µðÁöÅÐ ¾÷±×·¹À̵带 ÁغñÇϸ鼭 ·¹°Å½Ã ½Ã½ºÅÛ°úÀÇ ÀÎÅÍÆäÀ̽º¸¦ ±¸ÇöÇÒ ¼ö ÀÖ´Â ´É·ÂÀº ÁøÈ­ÇÏ´Â ¿¡³ÊÁö ȯ°æ¿¡¼­ Àå±âÀûÀÎ ¿î¿µ ź·Â¼ºÀ» ½ÇÇöÇÏ´Â µ¥ Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù.

¾î¶² ÇÁ·ÎÁ§Æ® À¯Çü°ú Áö¿ª ½ÃÀåÀÌ MACÀÇ Âü¿©¸¦ ÃËÁøÇϴ°¡?

MACÀº ½ÉÇØ Ž»ç¼±, Á¤À¯°øÀå È®Àå, LNG Å͹̳Î, ¼®À¯È­ÇÐ ÄÞºñ³ªÆ® µî ¸Þ°¡ ÇÁ·ÎÁ§Æ®¿¡ °¡Àå ¸¹ÀÌ Âü¿©Çϰí ÀÖ½À´Ï´Ù. ¾÷½ºÆ®¸² °øÁ¤¿¡¼­ MACÀº À¯Á¤ ¸ð´ÏÅ͸µ, ¼®À¯È¸¼öÁõÁø¹ý(EOR), Àΰø¾ç¼ö ½Ã½ºÅÛ ÀÚµ¿È­¸¦ Á¦°øÇÕ´Ï´Ù. ¹Ìµå½ºÆ¼¸² ÆÄÀÌÇÁ¶óÀΰú ÀúÀå½Ã¼³Àº MACÀÌ Á¦°øÇÏ´Â Áß¾Ó ÁýÁᫎ SCADA ÅëÇÕ, »çÀ̹ö º¸¾È ¾ÆÅ°ÅØÃ³, ´©Ãâ °¨Áö ½Ã½ºÅÛ µîÀÇ ÇýÅÃÀ» ¹Þ°í ÀÖ½À´Ï´Ù. ´Ù¿î½ºÆ®¸²¿¡¼­ MACÀº Áõ·ù, ºÐÇØ, È¥ÇÕ, ǰÁú °ü¸® ÇÁ·Î¼¼½º¸¦ ÀÚµ¿È­ÇÏ¿© ¾ÈÀü, ±ÔÁ¤ Áؼö, »ý»ê·®ÀÇ Àϰü¼ºÀ» º¸ÀåÇÕ´Ï´Ù.

Áßµ¿Àº »ç¿ìµð¾Æ¶óºñ¾Æ, ¾Æ¶ø¿¡¹Ì¸®Æ®, īŸ¸£ÀÇ ´ë±Ô¸ð ÇÁ·ÎÁ§Æ®¸¦ ÇʵηΠMAC µµÀÔÀÌ °¡Àå Ȱ¹ßÇÑ Áö¿ªÀÔ´Ï´Ù. ±¹¿µ¼®À¯È¸»ç(NOC)´Â ½Å¼³ ¹× Çö´ëÈ­¸¦ À§ÇØ MAC¿¡ Àå±â ÀÚµ¿È­ ÇÁ·¹ÀÓ¿öÅ© °è¾àÀ» ¹ßÁÖÇϰí ÀÖ½À´Ï´Ù. ºÏ¹Ì¿¡¼­´Â ¼ÎÀÏ¿ÀÀÏ »ç¾÷, Á¤Á¦ ÃÖÀûÈ­, LNG ¼öÃâ Å͹̳ο¡ ´ëÇÑ MACÀÇ Âü¿©°¡ °è¼ÓµÇ°í ÀÖ½À´Ï´Ù. ¾Æ½Ã¾ÆÅÂÆò¾ç, ƯÈ÷ Áß±¹, Àεµ, µ¿³²¾Æ½Ã¾Æ¿¡¼­ »õ·Î¿î Á¤À¯¼Ò¿Í ÆÄÀÌÇÁ¶óÀÎÀÇ ÀÚµ¿È­°¡ °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. ¾ÆÇÁ¸®Ä«¿Í ¶óƾ¾Æ¸Þ¸®Ä«´Â Áß»êÃþ°ú ºÎÀ¯ÃþÀÌ ¿£µå Åõ ¿£µå ÀÚµ¿È­¸¦ ÅëÇØ ±¹°¡ ¿¡³ÊÁö ÀÎÇÁ¶ó ÇÁ·ÎÁ§Æ®¸¦ Áö¿øÇÏ´Â ½ÅÈï ½ÃÀåÀÔ´Ï´Ù.

ÁÖ¿ä ±â¾÷À¸·Î´Â ABB, ÇÏ´ÏÀ£, ¿¡¸Ó½¼, ¿ä²¿°¡¿ÍÀü±â, Áö¸à½º µîÀÌ ÀÖÀ¸¸ç, °¢ »ç°¡ °¢ÀÚÀÇ ¿ä±¸¿¡ ¸Â´Â ÀÚµ¿È­ ¼Ö·ç¼Ç, ÇÁ·ÎÁ§Æ® ½ÇÇà ´É·Â, ¼¼°è Áö¿ø ³×Æ®¿öÅ©¸¦ Á¦°øÇϰí ÀÖ½À´Ï´Ù. MACÀÇ ¼±ÅÃÀº Àü¹®¼º, µðÁöÅÐ ¼Ö·ç¼ÇÀÇ ¼º¼÷µµ, »çÀ̹ö º¸¾ÈÀÇ ½Å·Ú¼º, º¥´õ °£ ½Ã½ºÅÛ ÅëÇÕ °ü¸® ´É·Â µîÀ» ±âÁØÀ¸·Î ÀÌ·ç¾îÁö°í ÀÖ½À´Ï´Ù. °í°´µéÀº Ã˹ÚÇÑ ÀÏÁ¤¿¡ ¸ÂÃç ³³Ç°Çϰí, °ø±Þ¸Á º¯µ¿¼ºÀ» °ü¸®Çϸç, ¼ö½Ê ³â µ¿¾È ÀÚ»ê ¿î¿ëÀÇ ¶óÀÌÇÁ»çÀÌŬÀ» Áö¿øÇÒ ¼ö ÀÖ´Â ÆÄÆ®³Ê¸¦ ¿øÇÕ´Ï´Ù.

¼®À¯ ¹× °¡½º »ê¾÷¿¡¼­ MAC ¼­ºñ½º ½ÃÀåÀÇ ¼ºÀå ¿øµ¿·ÂÀº ¹«¾ùÀΰ¡?

¼®À¯ ¹× °¡½º »ê¾÷¿¡¼­ ¼¼°è MAC ½ÃÀåÀÇ ¼ºÀåÀº ÀÚµ¿È­ ¿ä±¸ÀÇ º¹À⼺ Áõ°¡, µðÁöÅÐ Àüȯ¿¡ ´ëÇÑ Á߿伺 Áõ°¡, ÅëÇÕ ÇÁ·ÎÁ§Æ® µô¸®¹ö¸® ¸ðµ¨¿¡ ´ëÇÑ ÀÇÁ¸µµ Áõ°¡ µî ¿©·¯ °¡Áö ¿äÀο¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ½À´Ï´Ù. ¿¡³ÊÁö ±â¾÷ÀÌ ¿î¿µ È¿À²¼º, ¾ÈÀü¼º, Áö¼Ó°¡´É¼ºÀ» Áß½ÃÇÏ´Â °¡¿îµ¥, MACÀº ½ÇÇàÀ» °£¼ÒÈ­Çϰí, ¶óÀÌÇÁ»çÀÌŬ ºñ¿ëÀ» Àý°¨Çϸç, ÀÚ»êÀ» µðÁöÅÐÈ­ÀÇ ¹Ì·¡¿¡ ´ëºñÇÒ ¼ö ÀÖ´Â ÅëÇÕ ¼Ö·ç¼ÇÀ» Á¦°øÇϰí ÀÖ½À´Ï´Ù.

Ç¥ÁØÈ­, ±ÔÁ¦ Áؼö, ¹Ì·¡ÁöÇâÀûÀÎ ÀÚµ¿È­ ¾ÆÅ°ÅØÃ³ÀÇ Çʿ伺À¸·Î ÀÎÇØ ÀÚ»ê ¼ÒÀ¯ÀÚ´Â ÀÚµ¿È­ Àϰý µµ±ÞÀ» ¼±ÅÃÇÏ°Ô µÇ¾ú½À´Ï´Ù. Áß»êÃþ°ú ºÎÀ¯ÃþÀº ±â¼úÀû ±íÀÌ, º¥´õ Á߸³¼º, ÇÁ·ÎÁ§Æ® ±ÔÀ² µî À̱âÁ¾ ½Ã½ºÅÛÀ» ÅëÇÕÇϰí ÀϰüµÈ ¼º´ÉÀ» ´Þ¼ºÇÏ´Â µ¥ ÇÊ¿äÇÑ °ÍÀ» Á¦°øÇÕ´Ï´Ù. ¶ÇÇÑ, »çÀ̹ö º¸¾È, IIoT, ¾Ö³Î¸®Æ½½º, ¿¡³ÊÁö °ü¸® ¼Ö·ç¼ÇÀ» ÇϳªÀÇ ÆÐŰÁö·Î Á¦°øÇÒ ¼ö ÀÖ¾î °¡Ä¡»ç½½ Æ®·£½ºÆ÷¸ÞÀ̼ǿ¡¼­ÀÇ ¿ªÇÒµµ °­È­µË´Ï´Ù.

¼ö¼Ò, ¹ÙÀÌ¿À¿¬·á, ÀÌ»êȭź¼Ò ȸ¼ö µî »õ·Î¿î ¿¡³ÊÁö ºÐ¾ß¿¡¼­µµ »õ·Î¿î ÀÚµ¿È­ ±âÁؼ±À» Á¤ÀÇÇϱâ À§ÇØ MACÀÇ Àü¹®¼ºÀÌ ¿ä±¸µÇ°í ÀÖ½À´Ï´Ù. ÁöÁ¤ÇÐÀû, °æÁ¦Àû º¯µ¿ÀÌ ¼®À¯ ¹× °¡½º ÅõÀÚ Àü·«¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â °¡¿îµ¥, Áß»êÃþ°ú ºÎÀ¯ÃþÀº º¹ÀâÇÑ ÀÌÇØ°ü°èÀÚ °£ ÇÁ·ÎÁ§Æ®¿¡ ÇÊ¿äÇÑ º¸Áõ, Åõ¸í¼º, ÅëÁ¦·ÂÀ» Á¦°øÇϰí ÀÖ½À´Ï´Ù. µðÁöÅÐ ÀÎÇÁ¶ó°¡ ¹°¸®Àû ÀÎÇÁ¶ó¸¸Å­À̳ª Áß¿äÇØÁö´Â °¡¿îµ¥, Áß»êÃþ°ú ºÎÀ¯ÃþÀº ¾ÕÀ¸·Îµµ ¿¡³ÊÁö ÇÁ·ÎÁ§Æ® °³¹ß ¹× ¿î¿µ¿¡ ÀÖ¾î Áß¿äÇÑ ÆÄÆ®³Ê°¡ µÉ °ÍÀ¸·Î º¸ÀÔ´Ï´Ù.

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Global Main Automation Contractor (MAC) in Oil and Gas Industry Market to Reach US$1.5 Billion by 2030

The global market for Main Automation Contractor (MAC) in Oil and Gas Industry estimated at US$1.1 Billion in the year 2024, is expected to reach US$1.5 Billion by 2030, growing at a CAGR of 5.3% over the analysis period 2024-2030. Upstream Sector, one of the segments analyzed in the report, is expected to record a 6.4% CAGR and reach US$934.0 Million by the end of the analysis period. Growth in the Midstream Sector segment is estimated at 3.6% CAGR over the analysis period.

The U.S. Market is Estimated at US$305.9 Million While China is Forecast to Grow at 8.6% CAGR

The Main Automation Contractor (MAC) in Oil and Gas Industry market in the U.S. is estimated at US$305.9 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$309.5 Million by the year 2030 trailing a CAGR of 8.6% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 2.5% and 5.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 3.4% CAGR.

Global Main Automation Contractor (MAC) in Oil and Gas Industry Market - Key Trends & Drivers Summarized

Why Are Oil and Gas Operators Turning to Main Automation Contractors (MACs)?

In the complex, capital-intensive oil and gas (O&G) industry, Main Automation Contractors (MACs) have emerged as strategic partners for end-to-end automation integration, project risk reduction, and lifecycle support. MACs are responsible for planning, designing, procuring, and implementing automation systems across upstream, midstream, and downstream operations. As greenfield and brownfield projects increase in scale and complexity-particularly in offshore platforms, LNG plants, and petrochemical refineries-the role of MACs becomes central in ensuring interoperability, schedule adherence, and system reliability.

The conventional segmented approach to automation procurement-where multiple vendors and integrators deliver siloed solutions-often leads to fragmented systems, delayed timelines, and higher total cost of ownership. MACs mitigate these issues by serving as single-point accountability providers who integrate distributed control systems (DCS), safety instrumented systems (SIS), field instrumentation, cybersecurity frameworks, and communication protocols into a cohesive automation strategy. This turnkey model reduces vendor coordination burden for project owners and aligns automation with plant performance goals from day one.

How Are MACs Supporting Digital Transformation and Energy Transition in the Sector?

MACs are increasingly tasked with driving digitalization in oil and gas projects by incorporating advanced automation, industrial IoT, remote operations, and analytics-ready architectures into new and existing facilities. They are deploying edge computing devices, cloud platforms, and wireless sensor networks to enable predictive maintenance, real-time data visualization, and operational insights across wellheads, pipelines, and processing plants. The convergence of operational technology (OT) with information technology (IT) is being orchestrated by MACs to deliver digital twins, AI-powered diagnostics, and centralized command centers.

As oil and gas operators aim to decarbonize and align with ESG goals, MACs are integrating emissions monitoring, energy management systems, and intelligent control platforms that reduce flaring, optimize fuel usage, and detect leaks. In LNG and offshore platforms, MACs are facilitating autonomous operations and unmanned asset management strategies to reduce human exposure and operating costs. Moreover, the rise of green hydrogen and carbon capture projects is creating new opportunities for MACs to define automation standards in nascent energy transition infrastructures.

Standardization is a key benefit MACs bring to long-term asset lifecycle planning. They develop comprehensive automation libraries, function blocks, and modular templates that simplify future upgrades, ensure consistency across assets, and reduce the learning curve for operators. Their ability to interface with legacy systems while preparing for scalable digital upgrades positions them as critical enablers of long-term operational resilience in the evolving energy landscape.

Which Project Types and Regional Markets Are Driving MAC Engagement?

MACs are most commonly engaged in mega projects such as deepwater exploration rigs, refinery expansions, LNG terminals, and integrated petrochemical complexes. In upstream operations, MACs provide automation for well monitoring, enhanced oil recovery (EOR), and artificial lift systems. Midstream pipelines and storage facilities benefit from centralized SCADA integration, cybersecurity architecture, and leak detection systems provided by MACs. Downstream, MACs automate distillation, cracking, blending, and quality control processes to ensure safety, compliance, and output consistency.

The Middle East remains the most active region for MAC engagements, led by massive projects in Saudi Arabia, UAE, and Qatar. National oil companies (NOCs) are awarding long-term automation framework contracts to MACs for new build and modernization efforts. North America continues to see MAC involvement in shale oil operations, refining optimization, and LNG export terminals. Asia-Pacific-particularly China, India, and Southeast Asia-is ramping up automation in new refineries and pipelines. Africa and Latin America are emerging markets where MACs are supporting national energy infrastructure projects with end-to-end automation delivery.

Top MAC players include ABB, Honeywell, Emerson, Yokogawa, and Siemens, each offering tailored automation solutions, project execution capabilities, and global support networks. MAC selection is increasingly based on domain expertise, digital solution maturity, cybersecurity credentials, and ability to manage cross-vendor system integration. Clients seek partners who can deliver within stringent timelines, manage supply chain volatility, and provide lifecycle support for decades-long asset operations.

What Is Fueling Growth in the MAC Services Market Within Oil and Gas?

The growth in the global MAC market in the oil and gas industry is driven by several factors, including the rising complexity of automation needs, increasing emphasis on digital transformation, and growing reliance on integrated project delivery models. As energy companies navigate operational efficiency, safety, and sustainability imperatives, MACs offer unified solutions that streamline execution, reduce lifecycle costs, and prepare assets for the digital future.

The need for standardization, regulatory compliance, and future-proof automation architectures is encouraging asset owners to opt for centralized automation contracting. MACs offer the technical depth, vendor neutrality, and project discipline necessary to orchestrate disparate systems and drive consistent performance. Their ability to offer cybersecurity, IIoT, analytics, and energy management solutions as part of a single package strengthens their role in value chain transformation.

Emerging energy verticals-including hydrogen, biofuels, and carbon capture-are also seeking MAC expertise to define new automation baselines. As geopolitical and economic volatility influence oil and gas investment strategies, MACs are providing the assurance, transparency, and control needed to navigate complex multi-stakeholder projects. With digital infrastructure becoming as important as physical infrastructure, MACs are set to remain critical partners in the future of energy project development and operations.

SCOPE OF STUDY:

The report analyzes the Main Automation Contractor (MAC) in Oil and Gas Industry market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Sector (Upstream Sector, Midstream Sector, Downstream Sector); Project Size (Small & Medium Project Size, Large Project Size)

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.

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TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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