¼¼°èÀÇ ³×Æ®¿öÅ© ó¸® ÀåÄ¡ ½ÃÀå
Network Processing Units
»óǰÄÚµå : 1791742
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2025³â 08¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 152 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 5,850 £Ü 8,183,000
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 24,550,000
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÷

¼¼°èÀÇ ³×Æ®¿öÅ© ó¸® ÀåÄ¡ ½ÃÀåÀº 2030³â±îÁö 235¾ï ´Þ·¯¿¡ À̸¦ Àü¸Á

2024³â¿¡ 91¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ³×Æ®¿öÅ© ó¸® ÀåÄ¡ ¼¼°è ½ÃÀåÀº 2024-2030³â°£ CAGR 17.2%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 235¾ï ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. º» º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ À¯¼± NPU´Â CAGR 15.7%¸¦ ³ªÅ¸³»°í, ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 146¾ï ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ¹«¼± NPU ºÎ¹®ÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£¿¡ CAGR 20.0%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 24¾ï ´Þ·¯, Áß±¹Àº CAGR 16.3%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ ³×Æ®¿öÅ© ó¸® ÀåÄ¡ ½ÃÀåÀº 2024³â¿¡ 24¾ï ´Þ·¯·Î Æò°¡µÇ¾ú½À´Ï´Ù. ¼¼°è 2À§ °æÁ¦´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 36¾ï ´Þ·¯ ±Ô¸ð¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³â CAGRÀº 16.3%·Î ÃßÁ¤µË´Ï´Ù. ±âŸ ÁÖ¸ñÇØ¾ß ÇÒ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖÀ¸¸ç, ºÐ¼® ±â°£Áß CAGRÀº °¢°¢ 15.6%¿Í 15.0%¸¦ º¸ÀÏ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR 12.8%¸¦ º¸ÀÏ Àü¸ÁÀÔ´Ï´Ù.

¼¼°è ³×Æ®¿öÅ© ó¸® ÀåÄ¡ ½ÃÀå - ÁÖ¿ä µ¿Çâ ¹× ÃËÁø¿äÀÎ Á¤¸®

³×Æ®¿öÅ© ó¸® ÀåÄ¡´Â ¾î¶»°Ô µ¥ÀÌÅÍ Æ®·¡ÇÈ °ü¸®¿¡ Çõ¸íÀ» ÀÏÀ¸Å°°í Àִ°¡?

³×Æ®¿öÅ© ó¸® ÀåÄ¡(NPU)Àº µ¥ÀÌÅͼ¾ÅÍ, Åë½Å ³×Æ®¿öÅ©, ±â¾÷ ȯ°æ¿¡¼­ °í¼Ó ÆÐŶ ó¸®, È¿À²ÀûÀÎ Æ®·¡ÇÈ °ü¸®, º¸¾È °­È­¸¦ °¡´ÉÇÏ°Ô ÇÏ¿© Çö´ë ³×Æ®¿öÅ© ÀÎÇÁ¶ó¿¡ ÇʼöÀûÀÎ ±¸¼º ¿ä¼Ò·Î ÀÚ¸® Àâ¾Ò½À´Ï´Ù. ³×Æ®¿öÅ© ÀÛ¾÷ÀÇ º´·Ä ó¸® ¿ä±¸¿¡ ¾î·Á¿òÀ» °Þ´Â ±âÁ¸ CPU¿Í ´Þ¸®, NPU´Â ´ë·®ÀÇ µ¥ÀÌÅÍ ÆÐŶÀ» ½Ç½Ã°£À¸·Î ó¸®ÇÒ ¼ö ÀÖµµ·Ï Ưº°È÷ ¼³°èµÇ¾ú½À´Ï´Ù. ¶ó¿ìÅÍ, ½ºÀ§Ä¡, ¹æÈ­º®, ³×Æ®¿öÅ© º¸¾È ¾îÇöóÀ̾𽺿¡ ³Î¸® µµÀÔµÇ¾î ½ÉÃþ ÆÐŶ °Ë»ç(DPI), ¾Ïȣȭ, ·Îµå ¹ë·±½ÌÀ» °¡¼ÓÈ­Çϰí ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ, 5G ³×Æ®¿öÅ©, IoT ±â±âÀÇ Æø¹ßÀûÀÎ º¸±Þ°ú ÇÔ²² ±â¾÷ ¹× Åë½Å»ç¾÷ÀÚµéÀÌ º¹ÀâÇØÁö´Â ³×Æ®¿öÅ© Æ®·¡ÇÈÀ» º¸´Ù È¿À²ÀûÀ¸·Î °ü¸®ÇÒ ¼ö ÀÖ´Â ¹æ¹ýÀ» ¸ð»öÇϸ鼭 NPU¿¡ ´ëÇÑ ¼ö¿ä°¡ ±ÞÁõÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ÀΰøÁö´É(AI)°ú ¸Ó½Å·¯´×(ML)ÀÌ ³×Æ®¿öÅ©¿¡ µµÀԵǸ鼭 Áö´ÉÇü µ¥ÀÌÅÍ ¶ó¿ìÆÃ, ÀÌ»ó °¨Áö, ¿¹Ãø À¯Áöº¸¼ö¸¦ Áö¿øÇÒ ¼ö ÀÖ´Â °í±Þ NPUÀÇ Çʿ伺ÀÌ ´õ¿í Ä¿Áö°í ÀÖ½À´Ï´Ù. ±â¾÷µéÀÌ SDN(Software-Defined Networking)°ú NFV(Network Function Virtualization)·ÎÀÇ ÀüȯÀ» ÃßÁøÇϰí ÀÖ´Â °¡¿îµ¥, NPU´Â µ¥ÀÌÅͰ¡ ÆøÁõÇÏ´Â ½Ã´ë¿¡ ³×Æ®¿öÅ©ÀÇ ¹Îø¼º, ¾ÈÀü¼º, °í¼º´ÉÀ» º¸ÀåÇÏ´Â Áß¿äÇÑ ¿ªÇÒÀ» Çϰí ÀÖ½À´Ï´Ù. Áß¿äÇÑ ¿ªÇÒÀ» Çϰí ÀÖ½À´Ï´Ù.

NPU ½ÃÀå ¼ºÀå¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â °úÁ¦´Â?

NPU´Â ±× Á߿伺ÀÌ Ä¿Áö°í ÀÖÁö¸¸, ½ÃÀå È®´ë¿¡ ¿µÇâÀ» ¹ÌÄ¥ ¼ö ÀÖ´Â ¸î °¡Áö °úÁ¦¿¡ Á÷¸éÇØ ÀÖ½À´Ï´Ù. ÁÖ¿ä °úÁ¦ Áß Çϳª´Â °³¹ß ¹× ÅëÇÕ¿¡ ¼Ò¿äµÇ´Â ³ôÀº ºñ¿ëÀÔ´Ï´Ù. Ư¼ö ³×Æ®¿öÅ© ÇÁ·Î¼¼¼­ÀÇ ¼³°è ¹× Á¦Á¶¿¡´Â ¸·´ëÇÑ ¿¬±¸°³¹ß ÅõÀÚ°¡ ÇÊ¿äÇϱ⠶§¹®ÀÔ´Ï´Ù. ¹ü¿ë CPU¿Í ´Þ¸® NPU´Â ƯÁ¤ ³×Æ®¿öÅ© ¿ëµµ¿¡ ÃÖÀûÈ­ÇØ¾ß Çϱ⠶§¹®¿¡ Ä¿½ºÅ͸¶ÀÌ¡°ú È®À强ÀÌ º¹ÀâÇÏ°í ºñ¿ëÀÌ ¸¹ÀÌ µì´Ï´Ù. °í¼º´É NPU´Â »ó´çÇÑ ¿­À» ¹ß»ý½Ã۱⠶§¹®¿¡ °í±Þ ³Ã°¢ ¼Ö·ç¼Ç°ú È¿À²ÀûÀÎ ¿¡³ÊÁö °ü¸®°¡ ÇÊ¿äÇÕ´Ï´Ù. ¶ÇÇÑ, On-Premise, Ŭ¶ó¿ìµå, ¿§Áö ȯ°æÀÌ È¥ÀçµÈ Çö´ëÀÇ ³×Æ®¿öÅ© ÀÎÇÁ¶ó´Â º¹À⼺ÀÌ Áõ°¡ÇÏ°í »óÈ£¿î¿ë¼º ¹®Á¦°¡ ¹ß»ýÇϱ⠶§¹®¿¡ NPU´Â ¿©·¯ ÇÁ·ÎÅäÄݰú ¾ÆÅ°ÅØÃ³¸¦ Áö¿øÇØ¾ß ÇÕ´Ï´Ù. ³×Æ®¿öÅ© ÇÁ·Î¼¼¼­´Â µ¥ÀÌÅÍ ÆÐŶÀÇ °Ë»ç ¹× ¾Ïȣȭ¿¡ Áß¿äÇÑ ¿ªÇÒÀ» Çϱ⠶§¹®¿¡ »çÀ̹ö °ø°ÝÀÇ Ç¥ÀûÀÌ µÉ ¼ö ÀÖÀ¸¸ç, º¸¾È Ãë¾à¼ºµµ ¿ì·ÁµË´Ï´Ù. ¶ÇÇÑ, ¼¼°è ¹ÝµµÃ¼ °ø±Þ¸ÁÀÇ È¥¶õÀº ºÎǰ ºÎÁ·À¸·Î À̾îÁ® NPUÀÇ °¡¿ë¼º¿¡ ¿µÇâÀ» ¹ÌÄ¡°í, ÁÖ¿ä »ê¾÷À¸·ÎÀÇ ¹èÆ÷°¡ Áö¿¬µÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ °úÁ¦¸¦ ÇØ°áÇϱâ À§Çؼ­´Â Ĩ ¼³°è, Àü·Â È¿À², º¸¾È ÇÁ·¹ÀÓ¿öÅ©ÀÇ Áö¼ÓÀûÀÎ ±â¼ú Çõ½ÅÀÌ ÇÊ¿äÇϸç, NPU°¡ °í¼Ó Áö´ÉÇü ³×Æ®¿öÅ·ÀÇ ÁøÈ­ÇÏ´Â ¿ä±¸¿¡ ºÎÀÀÇÒ ¼ö ÀÖµµ·Ï ÇØ¾ß ÇÕ´Ï´Ù.

Â÷¼¼´ë NPU´Â ¾î¶² ±â¼ú Çõ½ÅÀ» °¡Á®¿Ã °ÍÀΰ¡?

±â¼úÀÇ ¹ßÀüÀº ³×Æ®¿öÅ© ó¸® ÀåÄ¡ÀÇ ±â´ÉÀ» Å©°Ô Çâ»ó½ÃÄÑ º¸´Ù È¿À²ÀûÀ̰í È®Àå °¡´ÉÇϸç Áö´ÉÀûÀÎ ³×Æ®¿öÅ© ó¸® ÀåÄ¡ÀÇ ±â´ÉÀ» Çâ»ó½Ã۰í ÀÖ½À´Ï´Ù. °¡Àå ÁÖ¸ñÇÒ ¸¸ÇÑ ¹ßÀü Áß Çϳª´Â AI ±â¹Ý ³×Æ®¿öÅ·ÀÇ ÅëÇÕÀÔ´Ï´Ù. NPU´Â ÇöÀç Æ®·¡ÇÈ ÃÖÀûÈ­, »çÀ̹ö º¸¾È, ½Ç½Ã°£ ÀÇ»ç°áÁ¤À» °³¼±ÇÏ´Â ¸Ó½Å·¯´× ¾Ë°í¸®ÁòÀ» žÀçÇϰí ÀÖ½À´Ï´Ù. AI°¡ žÀçµÈ NPU´Â ³×Æ®¿öÅ©ÀÇ °Åµ¿À» ºÐ¼®Çϰí, ÀÌ»ó ¡Èĸ¦ °¨ÁöÇϰí, ¶ó¿ìÆÃ Àü·«À» µ¿ÀûÀ¸·Î Á¶Á¤ÇÏ¿© ¼º´É°ú º¸¾ÈÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ¿©·¯ °³ÀÇ ÇÁ·Î¼¼¼­ Äھ ÇϳªÀÇ NPU¿¡ ÅëÇÕÇÑ Ä¨·¿ ¾ÆÅ°ÅØÃ³ÀÇ µîÀåÀ¸·Î È¿À²¼º°ú È®À强ÀÌ Çâ»óµÇ°í, NPU´Â ´õ ¸¹Àº ¾çÀÇ µ¥ÀÌÅ͸¦ ´õ ³·Àº ·¹ÀÌÅϽ÷Πó¸®ÇÒ ¼ö ÀÖ°Ô µÇ¾ú½À´Ï´Ù. ¶ÇÇÑ, ÇÁ·Î±×·¡¸Óºí NPU·ÎÀÇ ÀüȯÀ¸·Î ³×Æ®¿öÅ© °ü¸®ÀÇ À¯¿¬¼ºÀÌ Çâ»óµÇ¾î »ç¾÷ÀÚ´Â Çϵå¿þ¾î ±³Ã¼ ¾øÀ̵µ ³×Æ®¿öÅ© ±â´ÉÀ» À籸¼ºÇÒ ¼ö ÀÖ°Ô µÇ¾ú½À´Ï´Ù. ÷´Ü ¹ÝµµÃ¼ ¼ÒÀç¿Í ³Ã°¢ ±â¼úÀ» Ȱ¿ëÇÑ ¿¡³ÊÁö È¿À²ÀÌ ³ôÀº NPUÀÇ °³¹ßÀº µ¥ÀÌÅͼ¾ÅÍÀÇ Àü·Â ¼Òºñ¸¦ ÁÙÀ̰í Áö¼Ó°¡´É¼ºÀ» ³ôÀÌ´Â µ¥ ±â¿©Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, Ŭ¶ó¿ìµå ³×ÀÌÆ¼ºê NPU´Â ÇÏÀ̺긮µå Ŭ¶ó¿ìµå ȯ°æ¿¡¼­ ¿öÅ©·Îµå ºÐ»êÀ» ÃÖÀûÈ­Çϰí ÇÁ¶óÀ̺ø Ŭ¶ó¿ìµå¿Í ÆÛºí¸¯ Ŭ¶ó¿ìµå ÀÎÇÁ¶ó °£ÀÇ ¿øÈ°ÇÑ µ¥ÀÌÅÍ È帧À» ½ÇÇöÇϵµ·Ï ¼³°èµÇ¾ú½À´Ï´Ù. ÀÌ·¯ÇÑ ±â¼ú Çõ½ÅÀº NPU¸¦ ´õ¿í °­·ÂÇÏ°Ô ¸¸µé »Ó¸¸ ¾Æ´Ï¶ó, Åë½Å°ú ±ÝÀ¶¿¡¼­ ½º¸¶Æ®½ÃƼ¿Í ÀÚÀ²ÁÖÇàÂ÷±îÁö ´Ù¾çÇÑ »ê¾÷À¸·Î Àû¿ë ¹üÀ§¸¦ ³ÐÇô°¡°í ÀÖ½À´Ï´Ù.

³×Æ®¿öÅ© ó¸® ÀåÄ¡ ½ÃÀåÀÇ ¼ºÀå ¿øµ¿·ÂÀº?

³×Æ®¿öÅ© ó¸® ÀåÄ¡ ½ÃÀåÀÇ ¼ºÀåÀº 5G ³×Æ®¿öÅ© È®´ë, °í¼Ó µ¥ÀÌÅÍ Ã³¸® ¼ö¿ä Áõ°¡, AI ±â¹Ý ³×Æ®¿öÅ· äÅà Ȯ´ë µî ¿©·¯ ¿äÀο¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ½À´Ï´Ù. Åë½Å »ç¾÷ÀÚ´Â ¹æ´ëÇÑ ³×Æ®¿öÅ© Æ®·¡ÇÈ °ü¸®, ÀúÁö¿¬ Åë½Å, µ¿Àû ÀÚ¿ø ÇÒ´ç µîÀ» À§ÇØ °í¼º´É NPU°¡ ÇÊ¿äÇϱ⠶§¹®¿¡ 5GÀÇ ¼¼°è È®»êÀº °¡Àå Å« ÃËÁø¿äÀÎ Áß ÇϳªÀÔ´Ï´Ù. Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ, IoT, ¿§Áö ÄÄÇ»ÆÃ¿¡ ÈûÀÔÀº ±â¾÷ÀÇ ±Þ¼ÓÇÑ µðÁöÅÐ ÀüȯÀº ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸®¿Í ¾ÈÀüÇÑ ¿¬°áÀ» Áö¿øÇÏ´Â NPU¿¡ ´ëÇÑ ¼ö¿ä¸¦ ´õ¿í Áõ°¡½Ã۰í ÀÖ½À´Ï´Ù. »çÀ̹ö º¸¾ÈÀÇ Á߿伺ÀÌ ³ô¾ÆÁø °Íµµ Å« ¿äÀÎÀ¸·Î, NPU´Â ¹æÈ­º®°ú º¸¾È ¾îÇöóÀ̾𽺿¡ ÅëÇյǾî Àü·Ê ¾ø´Â ¼Óµµ·Î µö ÆÐŶ °Ë»ç ¹× À§Çù ¿ÏÈ­¸¦ ½ÇÇàÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, SDN°ú NFV·ÎÀÇ ÀüȯÀÌ NPUÀÇ Ã¤ÅÃÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±â¼úÀº ³×Æ®¿öÅ© ¼º´ÉÀ» ÃÖÀûÈ­Çϱâ À§ÇØ ÇÁ·Î±×·¡¹Ö °¡´ÉÇÑ °í¼Ó ÆÐŶ 󸮿¡ ÀÇÁ¸Çϰí Àֱ⠶§¹®ÀÔ´Ï´Ù. ÇÏÀÌÆÛ½ºÄÉÀÏ µ¥ÀÌÅͼ¾ÅÍ¿Í AI ±â¹Ý ¿ëµµÀÇ ºÎ»óµµ ½ÃÀå ¼ºÀå¿¡ ±â¿©Çϰí ÀÖÀ¸¸ç, Ŭ¶ó¿ìµå Á¦°ø¾÷üµéÀº µ¥ÀÌÅÍ Ã³¸®·®°ú ¿î¿µ È¿À²¼ºÀ» Çâ»ó½Ã۱â À§ÇØ NPU¿¡ ¸¹Àº ÅõÀÚ¸¦ Çϰí ÀÖ½À´Ï´Ù. ³×Æ®¿öÅ© ÀÎÇÁ¶ó°¡ º¹ÀâÇØÁö°í µ¥ÀÌÅÍ Æ®·¡ÇÈÀÌ °è¼Ó Áõ°¡ÇÔ¿¡ µû¶ó °í±Þ NPU¿¡ ´ëÇÑ ¼ö¿ä°¡ ±ÞÁõÇÏ¿© °í¼º´É ³×Æ®¿öÅ·°ú Áö´ÉÇü µ¥ÀÌÅÍ Ã³¸®ÀÇ ¹Ì·¡¸¦ Çü¼ºÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

ºÎ¹®

Á¦Ç° À¯Çü(À¯¼± NPU, ¹«¼± NPU), ¿ëµµ(°¡Àü ¿ëµµ, ±º¡¤°ü°øÃ» ¿ëµµ, Åë½Å ¹× IT ¿ëµµ, ÀÚµ¿Â÷ ¿ëµµ, µ¥ÀÌÅͼ¾ÅÍ ¿ëµµ, ±âŸ ¿ëµµ)

Á¶»ç ´ë»ó ±â¾÷ ¿¹

AI ÅëÇÕ

Global Industry Analysts´Â À¯È¿ÇÑ Àü¹®°¡ ÄÁÅÙÃ÷¿Í AIÅø¿¡ ÀÇÇØ¼­, ½ÃÀå Á¤º¸¿Í °æÀï Á¤º¸¸¦ º¯ÇõÇϰí ÀÖ½À´Ï´Ù.

Global Industry Analysts´Â ÀϹÝÀûÀÎ LLM³ª ¾÷°è °íÀ¯ SLM¸¦ Äõ¸® ÇÏ´Â ´ë½Å¿¡, ºñµð¿À ±â·Ï, ºí·Î±×, °Ë»ö ¿£Áø Á¶»ç, ¹æ´ëÇÑ ¾çÀÇ ±â¾÷, Á¦Ç°/¼­ºñ½º, ½ÃÀå µ¥ÀÌÅÍ µî, Àü ¼¼°è Àü¹®°¡·ÎºÎÅÍ ¼öÁýÇÑ ÄÁÅÙÃ÷ ¸®Æ÷ÁöÅ丮¸¦ ±¸ÃàÇß½À´Ï´Ù.

°ü¼¼ ¿µÇâ °è¼ö

Global Industry Analysts´Â º»»ç ¼ÒÀçÁö, Á¦Á¶°ÅÁ¡, ¼öÃâÀÔ(¿ÏÁ¦Ç° ¹× OEM)À» ±âÁØÀ¸·Î ±â¾÷ÀÇ °æÀï·Â º¯È­¸¦ ¿¹ÃøÇß½À´Ï´Ù. ÀÌ·¯ÇÑ º¹ÀâÇÏ°í ´Ù¸éÀûÀÎ ½ÃÀå ¿ªÇÐÀº ¼öÀÍ¿ø°¡(COGS) Áõ°¡, ¼öÀͼº Ç϶ô, °ø±Þ¸Á ÀçÆí µî ¹Ì½ÃÀû, °Å½ÃÀû ½ÃÀå ¿ªÇÐ Áß¿¡¼­µµ ƯÈ÷ °æÀï»çµé¿¡°Ô ¿µÇâÀ» ¹ÌÄ¥ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý

Á¦2Àå ÁÖ¿ä ¿ä¾à

Á¦3Àå ½ÃÀå ºÐ¼®

Á¦4Àå °æÀï

LSH
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Global Network Processing Units Market to Reach US$23.5 Billion by 2030

The global market for Network Processing Units estimated at US$9.1 Billion in the year 2024, is expected to reach US$23.5 Billion by 2030, growing at a CAGR of 17.2% over the analysis period 2024-2030. Wired NPU, one of the segments analyzed in the report, is expected to record a 15.7% CAGR and reach US$14.6 Billion by the end of the analysis period. Growth in the Wireless NPU segment is estimated at 20.0% CAGR over the analysis period.

The U.S. Market is Estimated at US$2.4 Billion While China is Forecast to Grow at 16.3% CAGR

The Network Processing Units market in the U.S. is estimated at US$2.4 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$3.6 Billion by the year 2030 trailing a CAGR of 16.3% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 15.6% and 15.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 12.8% CAGR.

Global Network Processing Unit Market - Key Trends & Drivers Summarized

How Are Network Processing Units Revolutionizing Data Traffic Management?

Network Processing Units (NPUs) have become an essential component of modern networking infrastructure, enabling high-speed packet processing, efficient traffic management, and enhanced security in data centers, telecom networks, and enterprise environments. Unlike traditional CPUs, which struggle with the parallel processing demands of networking tasks, NPUs are specifically designed to handle massive volumes of data packets in real time. They are widely deployed in routers, switches, firewalls, and network security appliances to accelerate deep packet inspection (DPI), encryption, and load balancing. With the explosion of cloud computing, 5G networks, and IoT devices, the demand for NPUs has surged, as businesses and telecom operators seek more efficient ways to manage increasingly complex network traffic. Moreover, the adoption of artificial intelligence (AI) and machine learning (ML) in networking is further driving the need for advanced NPUs capable of supporting intelligent data routing, anomaly detection, and predictive maintenance. As enterprises continue to migrate towards software-defined networking (SDN) and network function virtualization (NFV), NPUs are playing a critical role in ensuring that networks remain agile, secure, and high-performing in an era of exponential data growth.

What Challenges Are Impacting the Growth of the NPU Market?

Despite their growing significance, NPUs face several challenges that could affect their market expansion. One of the key challenges is the high cost of development and integration, as designing and manufacturing specialized network processors require significant R&D investment. Unlike general-purpose CPUs, NPUs must be optimized for specific networking applications, making customization and scalability complex and expensive. Another major challenge is power consumption, as high-performance NPUs generate substantial heat, necessitating advanced cooling solutions and efficient energy management. Additionally, the increasing complexity of modern network infrastructures, with a mix of on-premises, cloud, and edge environments, creates interoperability issues, requiring NPUs to support multiple protocols and architectures. Security vulnerabilities are also a concern, as network processors play a critical role in data packet inspection and encryption, making them potential targets for cyberattacks. Moreover, the global semiconductor supply chain disruptions have led to component shortages, affecting the availability of NPUs and delaying deployment in critical industries. Addressing these challenges requires continuous innovation in chip design, power efficiency, and security frameworks, ensuring that NPUs can meet the evolving demands of high-speed, intelligent networking.

How Are Innovations Driving the Next Generation of NPUs?

Technological advancements are significantly enhancing the capabilities of network processing units, making them more efficient, scalable, and intelligent. One of the most notable developments is the integration of AI-driven networking, where NPUs are now being equipped with machine learning algorithms to improve traffic optimization, cybersecurity, and real-time decision-making. AI-powered NPUs can analyze network behavior, detect anomalies, and dynamically adjust routing strategies to enhance performance and security. The rise of chiplet architecture, where multiple processor cores are integrated into a single NPU, is also improving efficiency and scalability, allowing NPUs to handle even larger data volumes with lower latency. Additionally, the shift towards programmable NPUs is enabling greater flexibility in network management, allowing operators to reconfigure their network functions without requiring hardware replacements. The development of energy-efficient NPUs, leveraging advanced semiconductor materials and cooling technologies, is helping reduce power consumption and improve sustainability in data centers. Furthermore, cloud-native NPUs are being designed to optimize workload distribution across hybrid cloud environments, ensuring seamless data flow across private and public cloud infrastructures. These innovations are not only making NPUs more powerful but also expanding their applicability across a wide range of industries, from telecom and finance to smart cities and autonomous vehicles.

What Is Driving the Growth of the Network Processing Unit Market?

The growth in the network processing unit market is driven by several factors, including the expansion of 5G networks, rising demand for high-speed data processing, and increasing adoption of AI-driven networking. The global rollout of 5G is one of the biggest drivers, as telecom operators require high-performance NPUs to manage massive network traffic, low-latency communications, and dynamic resource allocation. The rapid digital transformation of enterprises, fueled by cloud computing, IoT, and edge computing, is further increasing the demand for NPUs capable of handling real-time data processing and secure connectivity. The growing importance of cybersecurity is another major factor, as NPUs are being integrated into firewalls and security appliances to perform deep packet inspection and threat mitigation at unprecedented speeds. Additionally, the shift toward SDN and NFV is boosting NPU adoption, as these technologies rely on programmable, high-speed packet processing to optimize network performance. The rise of hyperscale data centers and AI-driven applications is also contributing to market growth, with cloud providers investing heavily in NPUs to improve data throughput and operational efficiency. As network infrastructures become more complex and data traffic continues to rise, the demand for advanced NPUs is expected to soar, shaping the future of high-performance networking and intelligent data processing.

SCOPE OF STUDY:

The report analyzes the Network Processing Units market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Product Type (Wired NPU, Wireless NPU); Application (Consumer Electronics Application, Military & Government Application, Communications & IT Application, Automotive Application, Data Centers Application, Other Applications)

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 48 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