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RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ ½ÃÀå ¿¹Ãø(-2030³â) : À¯Çüº°, ³×Æ®¿öÅ© À¯Çüº°, ±¸¼º¿ä¼Òº°, Àü°³ ¹æ½Äº°, ¿ëµµº°, ÃÖÁ¾»ç¿ëÀÚº°, Áö¿ªº° ¼¼°è ºÐ¼®

RAN Intelligent Controller Market Forecasts to 2030 - Global Analysis By Type (Centralized RAN (C-RAN), Virtualized RAN (vRAN), Distributed RAN (D-RAN) and Other Types), Network Type, Component, Deployment Mode, Application, End User and By Geography

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Stratistics Market Research Consulting | ÆäÀÌÁö Á¤º¸: ¿µ¹® 200+ Pages | ¹è¼Û¾È³» : 2-3ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    



¡Ø º» »óǰÀº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

Stratistics MRC¿¡ µû¸£¸é, RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ ¼¼°è ½ÃÀåÀº 2024³â 2¾ï 4,235¸¸ ´Þ·¯¿¡ ´ÞÇϰí, ¿¹Ãø ±â°£ µ¿¾È 63.2%ÀÇ CAGR·Î 2030³â¿¡´Â 45¾ï 7,892¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯´Â ¸ð¹ÙÀÏ ³×Æ®¿öÅ©ÀÇ RAN ¿î¿µÀ» ÃÖÀûÈ­ÇÏ°í °ü¸®Çϱâ À§ÇØ ¼³°èµÈ ¼ÒÇÁÆ®¿þ¾î ±â¹Ý ¼Ö·ç¼ÇÀÔ´Ï´Ù. ÀΰøÁö´É°ú ¸Ó½Å·¯´×À» »ç¿ëÇÏ¿© ¸®¼Ò½º, Æ®·¡ÇÈ ¶ó¿ìÆÃ, ³×Æ®¿öÅ© ½½¶óÀ̽ÌÀ» µ¿ÀûÀ¸·Î Á¦¾îÇÏ¿© ³×Æ®¿öÅ©ÀÇ È¿À²¼ºÀ» ³ôÀÔ´Ï´Ù. ÀÌ ÄÁÆ®·Ñ·¯´Â ¼º´É Çâ»ó, ´ë±â ½Ã°£ ´ÜÃà, ¼­·Î ´Ù¸¥ RAN ¿ä¼Ò °£ÀÇ È¿À²ÀûÀÎ ½ºÆåÆ®·³ Ȱ¿ëÀ» Áö¿øÇÕ´Ï´Ù. Æ®·¡ÇÈ ¼ö¿ä¿Í ³×Æ®¿öÅ© »óȲ¿¡ ½Ç½Ã°£À¸·Î Áö´ÉÀûÀ¸·Î ÀûÀÀÇÏ¿© Ãֽм¿·ê·¯ ³×Æ®¿öÅ©ÀÇ À¯¿¬¼º, È®À强 ¹× ÀÚµ¿È­¸¦ Çâ»ó½Ãŵ´Ï´Ù.

GSMAÀÇ 2022³â ¸ð¹ÙÀÏ °æÁ¦ º¸°í¼­¿¡ µû¸£¸é, 2021³â¿¡´Â 4G°¡ Àüü ¿¬°áÀÇ 58%¸¦ Â÷ÁöÇÒ °ÍÀ̶ó°í ÇÕ´Ï´Ù.

5G ±â¼ú µµÀÔ È®´ë

5G ³×Æ®¿öÅ©´Â ¹æ´ëÇÑ µ¥ÀÌÅÍ Æ®·¡ÇÈ, IoT ±â±â ¹× ´Ù¾çÇÑ »ç¿ë »ç·Ê¸¦ Áö¿øÇϱâ À§ÇØ ÃÖÀûÈ­µÈ ¹«¼± ¸®¼Ò½º °ü¸®, ³·Àº Áö¿¬ ½Ã°£ ¹× Çâ»óµÈ ¿ë·®À» ÇÊ¿ä·Î Çϸç, RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯´Â Åë½Å »ç¾÷ÀÚ°¡ ³×Æ®¿öÅ© °ü¸®¸¦ ÀÚµ¿È­ÇÏ°í ¸®¼Ò½º¸¦ È¿À²ÀûÀ¸·Î ÇÒ´çÇÏ¿© ³×Æ®¿öÅ© ¼º´ÉÀ» Çâ»ó½Ãų ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù. È¿À²ÀûÀ¸·Î ÀÚ¿øÀ» ÇÒ´çÇÏ°í ³×Æ®¿öÅ© ¼º´ÉÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÄÁÆ®·Ñ·¯´Â 5G°¡ ¾à¼ÓÇÏ´Â ¸Å¿ì ³ôÀº ½Å·Ú¼º°ú °í¼º´É ¿¬°á¼ºÀ» ½ÇÇöÇÏ´Â µ¥ µµ¿òÀ» ÁÖ¸ç, Àü ¼¼°è 5G ³×Æ®¿öÅ©ÀÇ ¼º°øÀûÀÎ ±¸Ãà ¹× È®Àå¿¡ ÇʼöÀûÀÎ ±¸¼º¿ä¼Ò·Î ÀÚ¸® Àâ°í ÀÖ½À´Ï´Ù.

ÅëÇÕÀÇ º¹À⼺

RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ÀÇ ÅëÇÕÀÇ º¹À⼺Àº ±âÁ¸ÀÇ ¿À·¡µÈ ³×Æ®¿öÅ© ÀÎÇÁ¶ó¿¡ »õ·Î¿î ±â¼úÀ» ÅëÇÕÇØ¾ß ÇÏ´Â ¹®Á¦¿¡¼­ ºñ·ÔµË´Ï´Ù. Áö´ÉÇü ÄÁÆ®·Ñ·¯¿Í ·¹°Å½Ã ½Ã½ºÅÛ °£ÀÇ È£È¯¼ºÀ» º¸ÀåÇÏ´Â °ÍÀº ½±Áö ¾Ê½À´Ï´Ù. °á°úÀûÀ¸·Î ÀÌ·¯ÇÑ º¹À⼺À¸·Î ÀÎÇØ RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ÀÇ µµÀÔÀÌ Áö¿¬µÇ¾î Àüü ½ÃÀåÀÇ ¼ºÀå°ú º¸´Ù È¿À²ÀûÀ̰í ÀÚµ¿È­µÈ ³×Æ®¿öÅ©·ÎÀÇ ÀüȯÀ» ÀúÇØÇϰí ÀÖ½À´Ï´Ù.

³×Æ®¿öÅ© ÀÚµ¿È­¿Í °¡»óÈ­¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡

Åë½Å»ç¾÷ÀÚµéÀÌ È¿À²¼º Çâ»ó, ¿î¿µ ºñ¿ë Àý°¨, 5G ±¸ÃàÀ» Áö¿øÇϱâ À§ÇØ ÀÚµ¿È­ ¹× °¡»óÈ­ ³×Æ®¿öÅ©·Î ÀüȯÇϰí ÀÖ´Â °¡¿îµ¥, RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯´Â ÀÌ·¯ÇÑ º¯È­¿¡¼­ Áß¿äÇÑ ¿ªÇÒÀ» Çϰí ÀÖ½À´Ï´Ù. RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯´Â ³×Æ®¿öÅ©ÀÇ È®À强, À¯¿¬¼º ¹× ÀÀ´ä¼ºÀ» °­È­ÇÔÀ¸·Î½á Åë½Å»ç¾÷ÀÚµéÀÌ È¿À²ÀûÀÌ°í ¹ÎøÇÏ¸ç ¹Ì·¡ÁöÇâÀûÀÎ ³×Æ®¿öÅ© ÀÎÇÁ¶ó¿¡ ´ëÇÑ Áõ°¡ÇÏ´Â ¿ä±¸¸¦ ÃæÁ·½Ãų ¼ö ÀÖµµ·Ï µ½½À´Ï´Ù. µû¶ó¼­ ³×Æ®¿öÅ© ÀÚµ¿È­ ¹× °¡»óÈ­¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡´Â RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ ½ÃÀåÀÇ ¼ºÀåÀ» ÃËÁøÇÏ´Â ¿äÀÎÀ¸·Î ÀÛ¿ëÇϰí ÀÖ½À´Ï´Ù.

³ôÀº ±¸Çö ºñ¿ë

RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ÀÇ ³ôÀº µµÀÔ ºñ¿ëÀº ±âÁ¸ ³×Æ®¿öÅ© ÀÎÇÁ¶ó¿¡ ½Ã½ºÅÛÀ» µµÀÔÇϰí ÅëÇÕÇϱâ À§ÇØ °íµµÀÇ Çϵå¿þ¾î, ¼ÒÇÁÆ®¿þ¾î ¹× Àü¹® Áö½ÄÀÌ ÇÊ¿äÇϱ⠶§¹®¿¡ ³ôÀº ºñ¿ëÀÌ ¹ß»ýÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ÀçÁ¤Àû À庮Àº »ç¾÷ÀÚµéÀÌ ÀÌ·¯ÇÑ ±â¼úÀÇ Ã¤ÅÃÀ» ´ÊÃ߰ųª Æ÷±âÇÒ ¼ö Àֱ⠶§¹®¿¡ ½ÃÀå ¼ºÀåÀ» ÀúÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ, RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯¸¦ ·¹°Å½Ã ½Ã½ºÅÛ°ú ÅëÇÕÇÏ´Â º¹À⼺À¸·Î ÀÎÇØ µµÀÔ ºñ¿ëÀÌ Áõ°¡ÇÏ¿© º¸±ÞÀ» ´õ¿í Á¦ÇÑÇÏ°í ½ÃÀå È®ÀåÀ» Áö¿¬½Ãų ¼ö ÀÖ½À´Ï´Ù.

COVID-19ÀÇ ¿µÇâ

COVID-19 ÆÒµ¥¹ÍÀº ¿ø°Ý ±Ù¹«¿Í µ¥ÀÌÅÍ ¼Òºñ Áõ°¡·Î ÀÎÇØ ³×Æ®¿öÅ© ÀÎÇÁ¶ó¿¡ ´ëÇÑ ¾Ð·ÂÀÌ Áõ°¡ÇÔ¿¡ µû¶ó RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯¿¡ ´ëÇÑ ¼ö¿ä¸¦ °¡¼ÓÈ­Çß½À´Ï´Ù. Åë½Å »ç¾÷ÀÚµéÀº ±ÞÁõÇÏ´Â Æ®·¡ÇÈÀ» ó¸®ÇÏ°í ¿øÈ°ÇÑ ¿¬°á¼ºÀ» º¸ÀåÇϱâ À§ÇØ ³×Æ®¿öÅ© ÃÖÀûÈ­ ¹× ÀÚµ¿È­¿¡ ÁýÁßÇß½À´Ï´Ù. ±×·¯³ª °ø±Þ¸Á È¥¶õ, 5G µµÀÔ Áö¿¬, ¿¹»ê Á¦¾àÀ¸·Î ÀÎÇØ ÷´Ü RAN ±â¼ú¿¡ ´ëÇÑ ÅõÀÚ ¼Óµµ°¡ ´À·ÁÁ³½À´Ï´Ù. ÀÌ·¯ÇÑ ¾î·Á¿ò¿¡µµ ºÒ±¸Çϰí, ÆÒµ¥¹ÍÀº º¸´Ù ¹ÎøÇϰí È®Àå °¡´ÉÇϸç È¿À²ÀûÀÎ ³×Æ®¿öÅ©ÀÇ Çʿ伺À» °­Á¶Çϸç Àå±âÀûÀÎ ½ÃÀå ¼ºÀåÀ» ÃËÁøÇß½À´Ï´Ù.

¿¹Ãø ±â°£ µ¿¾È ¹«¼± ÀÚ¿ø °ü¸® ºÐ¾ß°¡ °¡Àå Å« ºÐ¾ß°¡ µÉ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¹«¼± ÀÚ¿ø °ü¸®(RRM) ºÐ¾ß´Â ¿¹Ãø ±â°£ µ¿¾È °¡Àå Å« ½ÃÀå Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµÇ¸ç, RRM ¾ÖÇø®ÄÉÀ̼ǿ¡¼­ RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯´Â ³×Æ®¿öÅ© ÀÚ¿øÀÇ ÇÒ´ç ¹× È°¿ëÀ» ÃÖÀûÈ­ÇÏ´Â µ¥ Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù. ¹«¼± ½ºÆåÆ®·³, Àü·Â ¼öÁØ, »ç¿ëÀÚ ¿¬°áÀ» µ¿ÀûÀ¸·Î °ü¸®ÇÏ¿© È¿À²ÀûÀÎ ³×Æ®¿öÅ© ¼º´ÉÀ» º¸ÀåÇÕ´Ï´Ù. ±× °á°ú, ³×Æ®¿öÅ© ¿ë·®ÀÌ Çâ»óµÇ°í ´ë±â ½Ã°£ÀÌ ´ÜÃàµÇ¸ç Àü¹ÝÀûÀÎ »ç¿ëÀÚ °æÇèÀÌ Çâ»óµË´Ï´Ù.

¿¹Ãø ±â°£ µ¿¾È Åë½Å ¼­ºñ½º Á¦°ø¾÷ü ºÐ¾ß°¡ °¡Àå ³ôÀº CAGRÀ» ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¿¹Ãø ±â°£ µ¿¾È °¡Àå ³ôÀº CAGRÀ» ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµÇ´Â ºÐ¾ß´Â Åë½Å ¼­ºñ½º Á¦°ø¾÷ü ºÐ¾ß·Î, RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯´Â Çâ»óµÈ ³×Æ®¿öÅ© °ü¸® ¹× ÃÖÀûÈ­¸¦ °¡´ÉÇÏ°Ô Çϱ⠶§¹®¿¡ Åë½Å ¼­ºñ½º Á¦°ø¾÷ü¿¡°Ô ¸Å¿ì Áß¿äÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ÄÁÆ®·Ñ·¯´Â ¹«¼± ¸®¼Ò½ºÀÇ µ¿Àû ÇÒ´çÀ» ¿ëÀÌÇÏ°Ô ÇÏ¿© ³×Æ®¿öÅ©ÀÇ È¿À²¼º, ¿ë·® ¹× ¼º´ÉÀ» Çâ»ó½Ãŵ´Ï´Ù. ÀÌ ÄÁÆ®·Ñ·¯´Â ³×Æ®¿öÅ© ½½¶óÀ̰̽ú °°Àº °í±Þ ±â´ÉÀ» Áö¿øÇÏ¿© ´Ù¾çÇÑ »ç¿ëÀÚ ¿ä±¸»çÇ×°ú »ç¿ë »ç·Ê¿¡ ´ëÇÑ ¿øÈ°ÇÑ ¼­ºñ½º Á¦°øÀ» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù.

ÃÖ´ë ½ÃÀå Á¡À¯À²À» °¡Áø Áö¿ª

¾Æ½Ã¾ÆÅÂÆò¾çÀº 5G ³×Æ®¿öÅ©ÀÇ ±Þ¼ÓÇÑ È®Àå, ³×Æ®¿öÅ© ÀÚµ¿È­ ¼ö¿ä Áõ°¡, ±â¼ú ¹ßÀüÀ¸·Î ÀÎÇØ ¿¹Ãø ±â°£ µ¿¾È °¡Àå Å« ½ÃÀå Á¡À¯À²À» ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. Áß±¹, ÀϺ», Çѱ¹, Àεµ µîÀÇ ±¹°¡µéÀÌ ³×Æ®¿öÅ© ¼º´É ÃÖÀûÈ­, Áö¿¬ °¨¼Ò, È¿À²¼º Çâ»óÀ» À§ÇÑ RAN ¼Ö·ç¼Ç µµÀÔ¿¡ ¾ÕÀå¼­°í ÀÖ½À´Ï´Ù. ½º¸¶Æ® ½ÃƼ ÃßÁø, IoT ¿¬°á ¹× µ¥ÀÌÅÍ ¼Òºñ Áõ°¡´Â RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ÀÇ Ã¤ÅÃÀ» ´õ¿í ÃËÁøÇϰí ÀÖ½À´Ï´Ù.

CAGRÀÌ °¡Àå ³ôÀº Áö¿ª:

ºÏ¹Ì´Â 5G ³×Æ®¿öÅ©ÀÇ ±¤¹üÀ§ÇÑ ±¸Ãà°ú ³×Æ®¿öÅ© ÀÚµ¿È­ ¹× ÃÖÀûÈ­¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡·Î ÀÎÇØ ¿¹Ãø ±â°£ µ¿¾È °¡Àå ³ôÀº CAGRÀ» ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ¹Ì±¹°ú ij³ª´Ù´Â ³×Æ®¿öÅ© È¿À²¼ºÀ» ³ôÀ̱â À§ÇØ Ã·´Ü RAN ±â¼ú äÅÃÀ» ÁÖµµÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, µðÁöÅÐ Çõ½Å, ½º¸¶Æ® ½ÃƼ ¹× IoT ¿¬°á¿¡ ÁßÁ¡À» µÐ ÀÌ Áö¿ªÀº ÅëÇÕ ¹× ºñ¿ë ¹®Á¦¿¡µµ ºÒ±¸ÇÏ°í ½ÃÀå ¼ºÀåÀ» ´õ¿í ÃËÁøÇϰí ÀÖ½À´Ï´Ù.

¹«·á ¸ÂÃãÇü ¼­ºñ½º:

ÀÌ º¸°í¼­¸¦ ±¸µ¶ÇÏ´Â °í°´Àº ´ÙÀ½°ú °°Àº ¹«·á ¸ÂÃãÈ­ ¿É¼Ç Áß Çϳª¸¦ »ç¿ëÇÒ ¼ö ÀÖ½À´Ï´Ù.

  • ±â¾÷ °³¿ä
    • Ãß°¡ ½ÃÀå ±â¾÷ÀÇ Á¾ÇÕÀûÀÎ ÇÁ·ÎÆÄÀϸµ(ÃÖ´ë 3°³»ç±îÁö)
    • ÁÖ¿ä ±â¾÷ SWOT ºÐ¼®(ÃÖ´ë 3°³»ç)
  • Áö¿ª ¼¼ºÐÈ­
    • °í°´ÀÇ °ü½É¿¡ µû¸¥ ÁÖ¿ä ±¹°¡º° ½ÃÀå ÃßÁ¤Ä¡, ¿¹Ãø, CAGR(ÁÖ: Ÿ´ç¼º °ËÅä¿¡ µû¸¥)
  • °æÀï»ç º¥Ä¡¸¶Å·
    • Á¦Ç° Æ÷Æ®Æú¸®¿À, Áö¸®Àû ÀÔÁö, Àü·«Àû Á¦ÈÞ¸¦ ±â¹ÝÀ¸·Î ÇÑ ÁÖ¿ä ±â¾÷ º¥Ä¡¸¶Å·

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  • Á¶»ç Á¤º¸ Ãâó
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Á¦4Àå Porter's Five Forces ºÐ¼®

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  • ±¸¸ÅÀÚÀÇ ±³¼··Â
  • ´ëüǰÀÇ À§Çù
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Á¦5Àå ¼¼°èÀÇ RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ ½ÃÀå : À¯Çüº°

  • ÁýÁßÇü RAN(C-RAN)
  • °¡»óÇü RAN(vRAN)
  • ºÐ»êÇü RAN(D-RAN)
  • ±âŸ À¯Çü

Á¦6Àå ¼¼°è RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ ½ÃÀå : ³×Æ®¿öÅ© À¯Çüº°

  • 4G/LTE
  • 5G
  • ·¹°Å½Ã ³×Æ®¿öÅ©
  • ±âŸ ³×Æ®¿öÅ© À¯Çü

Á¦7Àå ¼¼°è RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ ½ÃÀå : ±¸¼º¿ä¼Òº°

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  • ¼­ºñ½º
    • Àü¹® ¼­ºñ½º
    • ¸Å´ÏÁöµå ¼­ºñ½º

Á¦8Àå ¼¼°è RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ ½ÃÀå : Àü°³ ¹æ½Äº°

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  • Ŭ¶ó¿ìµå ±â¹Ý

Á¦9Àå ¼¼°è RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ ½ÃÀå : ¿ëµµº°

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  • ¼­ºñ½º ǰÁú(QoS) °ü¸®
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Á¦10Àå ¼¼°è RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ ½ÃÀå : ÃÖÁ¾»ç¿ëÀÚº°

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Á¦11Àå ¼¼°èÀÇ RAN Áö´ÉÇü ÄÁÆ®·Ñ·¯ ½ÃÀå : Áö¿ªº°

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Á¦13Àå ±â¾÷ °³¿ä

  • Ericsson
  • Nokia
  • Cisco Systems
  • Huawei
  • Intel Corporation
  • IBM Corporation
  • Oracle Corporation
  • Samsung
  • Fujitsu Corporation
  • Juniper Networks
  • Affirmed Networks
  • NEC Corporation
  • EchoStar Corporation
  • Mavenir
  • ZTE Corporation
  • Parallel Wireless
ksm 25.01.16

According to Stratistics MRC, the Global RAN Intelligent Controller Market is accounted for $242.35 million in 2024 and is expected to reach $4578.92 million by 2030 growing at a CAGR of 63.2% during the forecast period. A RAN Intelligent Controller is a software-based solution designed to optimize and manage the operation of a mobile network's RAN. It enhances the network's efficiency by using artificial intelligence and machine learning to dynamically control resources, traffic routing, and network slicing. The controller helps improve performance, reduce latency, and ensure efficient spectrum use across different RAN elements. It enables greater flexibility, scalability, and automation in modern cellular networks, by intelligently adapting to traffic demands and network conditions in real-time.

According to the GSM Association (GSMA)'s 2022 mobile economy report, in 2021, 4G accounted for 58% of the connections.

Market Dynamics:

Driver:

Growing adoption of 5G technology

5G networks require optimized radio resource management, low latency, and enhanced capacity to support massive data traffic, IoT devices, and diverse use cases. RAN Intelligent Controllers enable telecom operators to automate network management, efficiently allocate resources, and improve network performance. These controllers help deliver the ultra-reliable, high-performance connectivity that 5G promises, making them a critical component in the successful deployment and scaling of 5G networks globally.

Restraint:

Integration complexities

Integration complexities in RAN intelligent controllers arise from the challenge of incorporating new technologies into existing, often outdated, network infrastructures. It creates difficulties in ensuring compatibility between the intelligent controller and legacy systems. As a result, the slow adoption of RAN intelligent controllers due to these complexities hampers overall market growth and the transition to more efficient, automated networks.

Opportunity:

Increasing demand for network automation and virtualization

As telecom operators transition to automated, virtualized networks to improve efficiency, reduce operational costs, and support the deployment of 5G, RAN Intelligent Controllers play a critical role in this transformation. By enhancing network scalability, flexibility, and responsiveness, RAN Intelligent Controllers help telecom providers meet the growing need for efficient, agile, and future-proof network infrastructures. Therefore, the increasing demand for network automation and virtualization is a key driver for the growth of the RAN Intelligent Controller market.

Threat:

High implementation costs

High implementation costs in RAN Intelligent Controllers stem from the need for advanced hardware, software, and specialized expertise to deploy and integrate the system into existing network infrastructures. This financial barrier hampers market growth as operators may delay or forgo the adoption of these technologies. Additionally, the complexity of integrating RAN Intelligent Controllers with legacy systems can increase implementation costs, further restricting widespread adoption and slowing market expansion.

Covid-19 Impact

The covid-19 pandemic accelerated the demand for RAN intelligent controllers as remote work and increased data consumption placed more pressure on network infrastructures. Telecom operators focused on network optimization and automation to handle surging traffic and ensure seamless connectivity. However, supply chain disruptions, delays in 5G deployments, and budget constraints slowed the pace of investment in advanced RAN technologies. Despite these challenges, the pandemic underscored the need for more agile, scalable, and efficient networks, boosting long-term market growth.

The radio resource management segment is expected to be the largest during the forecast period

The radio resource management segment is predicted to secure the largest market share throughout the forecast period. In RRM applications, RAN Intelligent Controllers play a crucial role in optimizing the allocation and utilization of network resources. They dynamically manage radio spectrum, power levels, and user connections to ensure efficient network performance. This results in improved network capacity, reduced latency, and better overall user experience.

The telecom service providers segment is expected to have the highest CAGR during the forecast period

The telecom service providers segment is anticipated to witness the highest CAGR during the forecast period. RAN intelligent controllers are crucial for telecom service providers as they enable enhanced network management and optimization. These controllers facilitate the dynamic allocation of radio resources, improving network efficiency, capacity, and performance. These controllers support advanced features such as network slicing, ensuring seamless service delivery across diverse user requirements and use cases.

Region with largest share:

Asia Pacific is expected to register the largest market share during the forecast period due to the rapid expansion of 5G networks, increasing demand for network automation, and the region's technological advancements. Countries like China, Japan, South Korea, and India are leading in deploying RAN solutions to optimize network performance, reduce latency, and improve efficiency. The push for smart cities, IoT connectivity, and higher data consumption is further driving the adoption of RAN Intelligent Controllers.

Region with highest CAGR:

North America is expected to witness the highest CAGR over the forecast period driven by the widespread deployment of 5G networks and the increasing demand for network automation and optimization. The U.S. and Canada are leading in adopting advanced RAN technologies to enhance network efficiency. Additionally, the region's focus on digital transformation, smart cities, and IoT connectivity is further propelling market growth, despite challenges in integration and cost.

Key players in the market

Some of the key players profiled in the RAN Intelligent Controller Market include Ericsson, Nokia, Cisco Systems, Huawei, Intel Corporation, IBM Corporation, Oracle Corporation, Samsung, Fujitsu Corporation, Juniper Networks, Affirmed Networks, NEC Corporation, EchoStar Corporation, Mavenir, ZTE Corporation and Parallel Wireless.

Key Developments:

In July 2024, EchoStar Corporation unveiled the Open RAN Center for Integration and Deployment (ORCID). This new facility is a cutting-edge Open RAN (O-RAN) testing and evaluation lab, strategically located at EchoStar's data center in Cheyenne, Wyoming. This facility plays a critical role in advancing the adoption of Open RAN solutions, promoting interoperability, and accelerating the deployment of next-generation wireless networks, particularly in the context of 5G and beyond.

In February 2023, Mavenir launched the Open RAN Intelligent Controller (O-RIC), that marks a significant advancement in the world of telecommunications and network management, especially in the context of Open Radio Access Networks (Open RAN). The O-RIC offering is designed to enhance the efficiency and flexibility of 5G networks by enabling service differentiation and optimizing network resources.

Types Covered:

  • Centralized RAN (C-RAN)
  • Virtualized RAN (vRAN)
  • Distributed RAN (D-RAN)
  • Other Types

Network Types Covered:

  • 4G/LTE
  • 5G
  • Legacy Networks
  • Other Network Types

Components Covered:

  • Hardware
  • Software
  • Services

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based

Applications Covered:

  • Radio Resource Management
  • Quality of Service (QoS) Management
  • Traffic Management
  • Energy Efficiency
  • Security & Privacy
  • Other Applications

End Users Covered:

  • Mobile Network Operators (MNOs)
  • Telecom Service Providers
  • Private Networks
  • Government Agencies
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global RAN Intelligent Controller Market, By Type

  • 5.1 Introduction
  • 5.2 Centralized RAN (C-RAN)
  • 5.3 Virtualized RAN (vRAN)
  • 5.4 Distributed RAN (D-RAN)
  • 5.5 Other Types

6 Global RAN Intelligent Controller Market, By Network Type

  • 6.1 Introduction
  • 6.2 4G/LTE
  • 6.3 5G
  • 6.4 Legacy Networks
  • 6.5 Other Network Types

7 Global RAN Intelligent Controller Market, By Component

  • 7.1 Introduction
  • 7.2 Hardware
    • 7.2.1 Servers
    • 7.2.2 Switches
    • 7.2.3 Processors
  • 7.3 Software
    • 7.3.1 Network Management Software
    • 7.3.2 Automation Software
  • 7.4 Services
    • 7.4.1 Professional Services
    • 7.4.2 Managed Services

8 Global RAN Intelligent Controller Market, By Deployment Mode

  • 8.1 Introduction
  • 8.2 On-Premises
  • 8.3 Cloud-Based

9 Global RAN Intelligent Controller Market, By Application

  • 9.1 Introduction
  • 9.2 Radio Resource Management
  • 9.3 Quality of Service (QoS) Management
  • 9.4 Traffic Management
  • 9.5 Energy Efficiency
  • 9.6 Security & Privacy
  • 9.7 Other Applications

10 Global RAN Intelligent Controller Market, By End User

  • 10.1 Introduction
  • 10.2 Mobile Network Operators (MNOs)
  • 10.3 Telecom Service Providers
  • 10.4 Private Networks
  • 10.5 Government Agencies
  • 10.6 Other End Users

11 Global RAN Intelligent Controller Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Ericsson
  • 13.2 Nokia
  • 13.3 Cisco Systems
  • 13.4 Huawei
  • 13.5 Intel Corporation
  • 13.6 IBM Corporation
  • 13.7 Oracle Corporation
  • 13.8 Samsung
  • 13.9 Fujitsu Corporation
  • 13.10 Juniper Networks
  • 13.11 Affirmed Networks
  • 13.12 NEC Corporation
  • 13.13 EchoStar Corporation
  • 13.14 Mavenir
  • 13.15 ZTE Corporation
  • 13.16 Parallel Wireless
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