¼¼°èÀÇ Àç»ý¿¡³ÊÁö ¹ßÀü¿ë ÀÚµ¿È­ ¼Ö·ç¼Ç ½ÃÀå
Automation Solutions for Renewable Power Generation
»óǰÄÚµå : 1758902
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2025³â 06¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 138 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 5,850 £Ü 8,121,000
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 24,364,000
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÷

Àç»ý¿¡³ÊÁö ¹ßÀü¿ë ÀÚµ¿È­ ¼Ö·ç¼Ç ¼¼°è ½ÃÀåÀº 2030³â±îÁö 170¾ï ´Þ·¯¿¡ ´ÞÇÒ Àü¸Á

2024³â¿¡ 137¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â Àç»ý¿¡³ÊÁö ¹ßÀü¿ë ÀÚµ¿È­ ¼Ö·ç¼Ç ¼¼°è ½ÃÀåÀº 2024³âºÎÅÍ 2030³â±îÁö CAGR 3.7%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 170¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ ÀÚ»ê °ü¸® ¿ëµµ´Â CAGR 3.2%¸¦ ±â·ÏÇÏ¸ç ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 75¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÇÁ·Î¼¼½º Á¦¾î ¿ëµµ ºÐ¾ßÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£ µ¿¾È CAGR 3.1%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 36¾ï ´Þ·¯·Î ÃßÁ¤, Áß±¹Àº CAGR 3.7%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ Àç»ý¿¡³ÊÁö ¹ßÀü¿ë ÀÚµ¿È­ ¼Ö·ç¼Ç ½ÃÀåÀº 2024³â¿¡ 36¾ï ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ °æÁ¦ ´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 28¾ï ´Þ·¯ÀÇ ½ÃÀå ±Ô¸ð¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³â CAGRÀº 3.7%¸¦ ±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 °¢°¢ 3.3%¿Í 3.3%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR 3.1%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°èÀÇ Àç»ý¿¡³ÊÁö ¹ßÀü¿ë ÀÚµ¿È­ ¼Ö·ç¼Ç ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

Àç»ý¿¡³ÊÁö ¹ßÀüÀÇ ¹Ì·¡¿¡ ÀÚµ¿È­°¡ ÇʼöÀûÀÎ ÀÌÀ¯´Â ¹«¾ùÀϱî?

Àü ¼¼°è ¿¡³ÊÁö ºÎ¹®ÀÌ È­¼® ¿¬·á¿¡¼­ ûÁ¤ ´ëü ¿¡³ÊÁö·ÎÀÇ ÀüȯÀ» °¡¼ÓÈ­ÇÔ¿¡ µû¶ó Àç»ý¿¡³ÊÁö ¹ßÀü¿¡¼­ ÀÚµ¿È­ÀÇ Á߿伺ÀÌ ±× ¾î´À ¶§º¸´Ù ³ô¾ÆÁö°í ÀÖ½À´Ï´Ù. ž籤¹ßÀü¼Ò, dz·Â¹ßÀü¼Ò, ¼ö·Â¹ßÀü¼Ò, ¹ÙÀÌ¿À ¿¡³ÊÁö ½Ã¼³ µî Àç»ý¿¡³ÊÁö ½Ã½ºÅÛÀº ½Ç½Ã°£ ¸ð´ÏÅ͸µ, ¿¹Áöº¸Àü, ¼ÛÀü¸ÁÀÇ ¹ÝÀÀ¼ºÀÌ ¿ä±¸µÇ´Â º¹ÀâÇÏ°í ¿ªµ¿ÀûÀΠȯ°æ¿¡¼­ ¿î¿µµÇ°í ÀÖ½À´Ï´Ù. ÀÚµ¿È­´Â ÀÌ·¯ÇÑ º¯¼ö¸¦ Áö¼ÓÀûÀ¸·Î °ü¸®ÇÏ°í ±â»ó Á¶°Ç, ºÎÇÏ ¼ö¿ä ¹× ÀåºñÀÇ °ÇÀü¼º¿¡ µû¶ó ¿îÀüÀ» Á¶Á¤ÇÏ¿© ÃÖÀûÀÇ ¼º´ÉÀ» º¸ÀåÇÕ´Ï´Ù. ¶ÇÇÑ, ºÐ»êÇü ¿¡³ÊÁö ½Ã½ºÅÛÀÌ Áö¿ªÀ» ³Ñ¾î Á¶È­·Ó°Ô ÀÛµ¿ÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù. ûÁ¤¿¡³ÊÁöÀÇ ½Å·Ú¼º, È¿À²¼º, È®À强ÀÌ ±¹°¡¿Í ±â¾÷ÀÇ Å»Åº¼ÒÈ­ ¸ñÇ¥¿¡ °¡Àå Áß¿äÇÑ ½Ã´ë¿¡ ÀÚµ¿È­ ±â¼úÀº Àç»ý °¡´É ÀÚ»êÀÇ »ý»ê¼º, ¾ÈÀü¼º ¹× ±¤¹üÀ§ÇÑ ¿¡³ÊÁö ÀÎÇÁ¶ó¿ÍÀÇ ÅëÇÕÀ» À¯ÁöÇÏ´Â µðÁöÅÐ ¹éº»À» Á¦°øÇÕ´Ï´Ù. ÀÌ´Â À¯Æ¿¸®Æ¼ ±â¾÷ÀÌ ±âÈÄ º¯È­¿Í ¼Òºñ ÆÐÅÏÀÇ º¯È­·Î ÀÎÇÑ ¿¡³ÊÁö ¼ö±Þ ºÒ¾ÈÁ¤¼º¿¡ ´ëÀÀÇÏ´Â µ¥ ÀÖ¾î Æ¯È÷ Áß¿äÇÕ´Ï´Ù.

ûÁ¤¿¡³ÊÁö ½Ã½ºÅÛ ÀÚµ¿È­¸¦ Çõ½ÅÇÏ´Â ±â¼úÀº ¹«¾ùÀΰ¡?

±â¼ú Çõ½ÅÀº Àç»ý¿¡³ÊÁö ¹ßÀü¼Ò¿¡¼­ ÀÚµ¿È­ÀÇ ±â´É°ú °¡Ä¡¸¦ ±Ùº»ÀûÀ¸·Î °­È­Çϰí ÀÖ½À´Ï´Ù. °ú°Å¿¡´Â ÁÖ·Î ±âº» ¸ð´ÏÅ͸µ¿¡ »ç¿ëµÇ´ø SCADA ½Ã½ºÅÛÀº ÀÌÁ¦ AI ¹× ¸Ó½Å·¯´×°ú ÅëÇÕµÇ¾î °í±Þ ºÐ¼®, °íÀå °¨Áö ¹× ¼º´É ÃÖÀûÈ­¸¦ °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. µðÁöÅÐ Æ®À© ±â¼úÀº dz·Â Åͺó°ú ž籤 ¾î·¹ÀÌÀÇ ½Ç½Ã°£ ½Ã¹Ä·¹À̼ÇÀ» ÅëÇØ ȯ°æ Á¶°ÇÀÌ Ãâ·Â¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ¿¹ÃøÇϰí, »ç¾÷ÀÚ°¡ ºñÈ¿À²¼ºÀ» ¼±Á¦ÀûÀ¸·Î ¿ÏÈ­ÇÒ ¼ö ÀÖµµ·Ï µ½½À´Ï´Ù. ¿§Áö ÄÄÇ»ÆÃ°ú 5G´Â µ¥ÀÌÅÍ Àü¼Û ´ë±â ½Ã°£À» ´ÜÃàÇϰí, ÇöÀå ÄÁÆ®·Ñ·¯°¡ ¿î¿µ»óÀÇ ÀÌ»ó ¡ÈÄ¿¡ Áï°¢ÀûÀ¸·Î ´ëÀÀÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù. ÀÚµ¿È­µÈ ±â»ó ¿¹Ãø µµ±¸¿Í Àϻ緮 ¼¾¼­´Â ÆÐ³Î °¢µµ¿Í Åͺó ºí·¹À̵åÀÇ ÇÇÄ¡¸¦ ÃÖÀûÈ­ÇÏ¿© Ãâ·ÂÀ» ±Ø´ëÈ­ÇÏ´Â µ¥ µµ¿òÀ» ÁÝ´Ï´Ù. °£Ç漺 °ü¸®¿¡ ÇʼöÀûÀÎ ÃàÀü ½Ã½ºÅÛ¿¡¼­ ÀÚµ¿È­´Â ÃæÀü ¹× ¹æÀü ÁÖ±â, ¿­ °ü¸®, ¾ÈÀü ±ÔÁ¦¿¡ ÀÖ¾î ÇÙ½ÉÀûÀÎ ¿ªÇÒÀ» ÇÕ´Ï´Ù. ¶ÇÇÑ, ¸¶ÀÌÅ©·Î±×¸®µå ÄÁÆ®·Ñ·¯¿Í ÀιöÅÍ ±â¹Ý ½Ã½ºÅÛÀº °íµµÀÇ ÀÚµ¿È­ ·ÎÁ÷À» »ç¿ëÇÏ¿© Àç»ý¿¡³ÊÁö¿Í ¹èÅ͸® ÀúÀå, µðÁ© ¹é¾÷ ¶Ç´Â °èÅ뿬°è°¡ °áÇÕµÈ ÇÏÀ̺긮µå ¼³Á¤ÀÇ Àüü ºÎÇÏ ¹ë·±½º¸¦ Á¶Á¤ÇÕ´Ï´Ù.

À¯Æ¿¸®Æ¼ »ç¾÷ÀÚ¿Í Á¤ºÎ´Â ³ì»ö Àüȯ¿¡ ÀÖ¾î ÀÚµ¿È­¸¦ ¾î¶»°Ô Ȱ¿ëÇϰí Àִ°¡?

Á¤ºÎ¿Í À¯Æ¿¸®Æ¼ »ç¾÷ÀÚµéÀº ³ì»ö ¿¡³ÊÁö ÁöħÀÇ Àü·«Àû ¿øµ¿·ÂÀ¸·Î ÀÚµ¿È­¸¦ Á¡Á¡ ´õ ¸¹ÀÌ ÅëÇÕÇϰí ÀÖ½À´Ï´Ù. À¯Æ¿¸®Æ¼ »ç¾÷ÀÚµéÀº ½Ç½Ã°£ ¼ö¿ä ¹ÝÀÀ ÇÁ·Î±×·¥°ú ½º¸¶Æ® ±×¸®µå °ü¸®¸¦ ÃËÁøÇϱâ À§ÇØ ÀÚµ¿È­¸¦ µµÀÔÇϰí ÀÖÀ¸¸ç, ¼öÀÛ¾÷ °³ÀÔ ¾øÀÌ ºÐ»êÇü ¿¡³ÊÁö¿ø °£ÀÇ ½Å¼ÓÇÑ ÀüȯÀ» À§ÇØ ÀÚµ¿È­¸¦ µµÀÔÇϰí ÀÖ½À´Ï´Ù. ±¹°¡ ¹× Áö¿ª ¼ÛÀü¸Á ¿î¿µÀÚµéÀº °¡º¯ÀûÀÎ Àç»ý¿¡³ÊÁö ÅõÀÔÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ¼ÛÀü¸ÁÀÇ ¾ÈÁ¤¼ºÀ» À¯ÁöÇϱâ À§ÇØ ÀÚµ¿È­ ½Ã½ºÅÛ¿¡ ÀÇÁ¸Çϰí ÀÖÀ¸¸ç, ÀÚµ¿È­ ½Ã½ºÅÛÀ» ÅëÇØ ¿¹ºñ·Â ÆÄ°ß, ºÎÇÏ ¿¹Ãø, Á֯ļö Á¶Á¤À» ¼öÇàÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ ¸¹Àº Á¤ºÎµéÀº ƯÈ÷ Ä¿¹Â´ÏƼ ž籤°ú P2P ¿¡³ÊÁö ³×Æ®¿öÅ©¿¡¼­ Åõ¸íÇÑ ¿¡³ÊÁö °Å·¡¸¦ À§ÇØ IoT, ÀÚµ¿È­, ºí·ÏüÀÎÀ» °áÇÕÇÑ '½º¸¶Æ® Àç»ý¿¡³ÊÁö' ÆÄÀÏ·µ ÇÁ·ÎÁ§Æ®¿¡ ÀÚ±ÝÀ» Áö¿øÇϰí ÀÖ½À´Ï´Ù. ÇÑÆí, ¿¡³ÊÁö °³¹ßÀÚµéÀº ±×¸°º»µå ¹× Á¤ºÎ Àμ¾Æ¼ºê¸¦ ¹Þ±â À§ÇØ ½Å±Ô ÇÁ·ÎÁ§Æ® ¼³°è ´Ü°èºÎÅÍ ÀÚµ¿ Á¦¾î¸¦ µµÀÔÇϰí ÀÖ½À´Ï´Ù. Àü ¼¼°è ¿¡³ÊÁö ¹Í½º°¡ ´Ù¾çÈ­µÊ¿¡ µû¶ó ÀÚµ¿È­¸¦ ÅëÇØ Àç»ý¿¡³ÊÁö°¡ Ã¥ÀÓ°¨ ÀÖ°Ô ±Ô¸ð¸¦ È®ÀåÇϰí, ¾î·Á¿î Àå¼Ò³ª ¿Üµý °÷¿¡¼­µµ ÀϰüµÇ°í ÃßÀû °¡´ÉÇÑ Ãâ·ÂÀ» Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù.

ÀÌ ºÐ¾ßÀÇ ÀÚµ¿È­ ¼ºÀå ¿øµ¿·ÂÀº ¹«¾ùÀΰ¡?

Àç»ý¿¡³ÊÁö ¹ßÀü¿ë ÀÚµ¿È­ ¼Ö·ç¼Ç ½ÃÀåÀÇ ¼ºÀåÀº ¸î °¡Áö ¿äÀο¡ ÀÇÇØ ÀÌ·ç¾îÁö°í ÀÖ½À´Ï´Ù. ù°, ž籤, dz·Â µî Àç»ý °¡´É ÀÚ¿øÀº °£ÇæÀûÀ̱⠶§¹®¿¡ »ý»ê°ú ¼ÒºñÀÇ ±ÕÇüÀ» ¿øÈ°ÇÏ°Ô ¸ÂÃß±â À§ÇØ °íµµÀÇ ÀÚµ¿È­°¡ ÇÊ¿äÇÕ´Ï´Ù. µÑ°, À¯Æ¿¸®Æ¼ ±Ô¸ðÀÇ Àç»ý¿¡³ÊÁö ÇÁ·ÎÁ§Æ®ÀÇ ±Ô¸ð È®´ë¸¦ À§Çؼ­´Â ¿î¿µ È¿À²¼º, ÀåºñÀÇ °ÇÀü¼º °ü¸®, °èÅë µ¿±âÈ­¸¦ À§ÇÑ °íµµÀÇ Á¦¾î ½Ã½ºÅÛÀÌ ÇÊ¿äÇÕ´Ï´Ù. ¼Â°, ÇÏÀ̺긮µå Àü·Â ½Ã½ºÅÛ°ú ¸¶ÀÌÅ©·Î±×¸®µåÀÇ ÃâÇöÀ¸·Î ¿©·¯ ¿¡³ÊÁö¿øÀ» ½Ç½Ã°£À¸·Î ÅëÇÕÇÒ ¼ö ÀÖ´Â ÀÚµ¿È­ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ³Ý°, Żź¼ÒÈ­¸¦ ÃßÁøÇÏ°í ½º¸¶Æ® ¿¡³ÊÁö ÇÁ·ÎÁ§Æ®¿¡ ÀçÁ¤Àû Àμ¾Æ¼ºê¸¦ Á¦°øÇÏ´Â ¼¼°è °¢±¹ÀÇ Á¤ºÎ Á¤Ã¥ÀÌ ÀÚµ¿ Á¦¾î ÀÎÇÁ¶óÀÇ Ã¤ÅÃÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ´Ù¼¸Â°, ¿¡³ÊÁö ´Ù¿îŸÀÓ°ú ÀÚ»êÀÇ ºñÈ¿À²·Î ÀÎÇÑ ºñ¿ë »ó½ÂÀ¸·Î ¿¡³ÊÁö »ç¾÷ÀÚµéÀº ¿¹Áöº¸Àü, ÀÌ»ó °¨Áö, ¼º´É º¥Ä¡¸¶Å·À» À§ÇÑ ÀÚµ¿È­¸¦ µµÀÔÇϰí ÀÖ½À´Ï´Ù. ¸¶Áö¸·À¸·Î, Áß¿äÇÑ ¿¡³ÊÁö ÀÎÇÁ¶ó¿¡ ´ëÇÑ »çÀ̹ö À§ÇùÀÌ Áõ°¡ÇÔ¿¡ µû¶ó »çÀ̹ö º¸¾È ±â´ÉÀÌ ³»ÀåµÈ ÀÚµ¿È­ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ ±ÞÁõÇϰí ÀÖÀ¸¸ç, Àü ¼¼°è Àç»ý¿¡³ÊÁö ½Ã½ºÅÛÀÇ ³»°áÇÔ¼ºÀÌ °­È­µÇ°í ÀÖ½À´Ï´Ù.

ºÎ¹®

¿ëµµ(ÀÚ»ê °ü¸® ¿ëµµ, ÇÁ·Î¼¼½º Á¦¾î ¿ëµµ, ¿ø°Ý °¨½Ã ¿ëµµ, ±âŸ ¿ëµµ), ÃÖÁ¾ ¿ëµµ(ž翡³ÊÁö ÃÖÁ¾ ¿ëµµ, dz·Â¿¡³ÊÁö ÃÖÁ¾ ¿ëµµ, ±âŸ ÃÖÁ¾ ¿ëµµ)

Á¶»ç ´ë»ó ±â¾÷ »ç·Ê(ÃÑ 36°³»ç)

AI ÅëÇÕ

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

Global Industry Analysts´Â LLM ¹× ¾÷°è °íÀ¯ÀÇ SLMÀ» Á¶È¸ÇÏ´Â ÀϹÝÀûÀÎ ±Ô¹ü¿¡ 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»»çÀÇ ±¹°¡, Á¦Á¶°ÅÁ¡, ¼öÃâÀÔ(¿ÏÁ¦Ç° ¹× OEM)À» ±â¹ÝÀ¸·Î ±â¾÷ÀÇ °æÀï·Â º¯È­¸¦ ¿¹ÃøÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ º¹ÀâÇÏ°í ´Ù¸éÀûÀÎ ½ÃÀå ¿ªÇÐÀº ¸ÅÃâ¿ø°¡(COGS) Áõ°¡, ¼öÀͼº °¨¼Ò, °ø±Þ¸Á ÀçÆí µî ¹Ì½ÃÀû ¹× °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 Automation Solutions for Renewable Power Generation Market to Reach US$17.0 Billion by 2030

The global market for Automation Solutions for Renewable Power Generation estimated at US$13.7 Billion in the year 2024, is expected to reach US$17.0 Billion by 2030, growing at a CAGR of 3.7% over the analysis period 2024-2030. Asset Management Application, one of the segments analyzed in the report, is expected to record a 3.2% CAGR and reach US$7.5 Billion by the end of the analysis period. Growth in the Process Control Application segment is estimated at 3.1% CAGR over the analysis period.

The U.S. Market is Estimated at US$3.6 Billion While China is Forecast to Grow at 3.7% CAGR

The Automation Solutions for Renewable Power Generation market in the U.S. is estimated at US$3.6 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$2.8 Billion by the year 2030 trailing a CAGR of 3.7% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 3.3% and 3.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 3.1% CAGR.

Global Automation Solutions for Renewable Power Generation Market - Key Trends & Drivers Summarized

Why Is Automation Crucial to the Future of Renewable Power Generation?

As the global energy sector accelerates its shift from fossil fuels to cleaner alternatives, the importance of automation in renewable power generation has never been more pronounced. Renewable energy systems-whether solar farms, wind parks, hydro plants, or bioenergy facilities-operate in complex, dynamic environments that demand real-time monitoring, predictive maintenance, and grid responsiveness. Automation ensures optimal performance by managing these variables continuously, adjusting operations for weather conditions, load demands, and equipment health. It also enables decentralized energy systems to function harmoniously across geographies. In an era where reliability, efficiency, and scalability of clean energy are paramount to national and corporate decarbonization goals, automation technologies provide the digital backbone that keeps renewable assets productive, secure, and integrated with the wider energy infrastructure. This is especially vital as utilities navigate the growing volatility of energy supply and demand due to climate variability and evolving consumption patterns.

What Technologies Are Transforming the Automation of Clean Energy Systems?

Technological innovation is radically enhancing the functionality and value of automation in renewable power plants. SCADA systems, once used primarily for basic monitoring, are now integrated with AI and machine learning to enable advanced analytics, fault detection, and performance optimization. Digital twin technology allows for real-time simulations of wind turbines and solar arrays, predicting how environmental conditions will affect output and enabling operators to proactively mitigate inefficiencies. Edge computing and 5G are reducing latency in data transfer, empowering on-site controllers to respond instantly to operational anomalies. Automated weather forecasting tools and irradiance sensors help optimize panel angles and turbine blade pitches for maximum output. In energy storage systems-crucial for managing intermittency-automation plays a central role in charge/discharge cycles, thermal management, and safety regulation. Additionally, microgrid controllers and inverter-based systems are using sophisticated automation logic to balance loads across hybrid setups that combine renewables with battery storage, diesel backup, or grid interconnects.

How Are Utilities and Governments Leveraging Automation in the Green Transition?

Governments and utility providers are increasingly integrating automation as a strategic enabler of their green energy mandates. Utilities are deploying automation to facilitate real-time demand-response programs and smart grid management, enabling faster transitions between distributed energy sources without manual intervention. National and regional grid operators rely on automated systems to maintain grid stability as variable renewable inputs increase, using automation to dispatch reserves, forecast loads, and execute frequency regulation. Many governments are also funding “smart renewable” pilot projects that combine IoT, automation, and blockchain for transparent energy trading, especially in community solar or peer-to-peer energy networks. Meanwhile, energy developers are embedding automated controls in the design phase of new projects to qualify for green bonds or government incentives, which increasingly require proof of efficiency and long-term sustainability. As the global energy mix diversifies, automation ensures that renewables can scale responsibly while delivering consistent and traceable output, even in challenging or remote locations.

What Is Fueling the Growth of Automation in This Sector?

The growth in the automation solutions for renewable power generation market is driven by several factors. First, the intermittent nature of renewable resources-such as sunlight and wind-necessitates sophisticated automation to balance production and consumption seamlessly. Second, the scaling up of utility-scale renewable projects requires advanced control systems for operational efficiency, equipment health management, and grid synchronization. Third, the emergence of hybrid power systems and microgrids is creating demand for automation solutions capable of integrating multiple energy sources in real time. Fourth, global government policies promoting decarbonization and offering financial incentives for smart energy projects are encouraging the adoption of automated control infrastructure. Fifth, the rising cost of energy downtime and asset inefficiency is prompting energy operators to deploy automation for predictive maintenance, anomaly detection, and performance benchmarking. Lastly, as cyber threats to critical energy infrastructure grow, there is a surge in demand for automation solutions with built-in cybersecurity features, enhancing the resilience of renewable energy systems worldwide.

SCOPE OF STUDY:

The report analyzes the Automation Solutions for Renewable Power Generation market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Application (Asset Management Application, Process Control Application, Remote Monitoring Application, Other Applications); End-Use (Solar Energy End-Use, Wind Energy End-Use, Other End-Uses)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 36 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