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Smart Network Interface Cards (NIC)
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½º¸¶Æ® ³×Æ®¿öÅ© ÀÎÅÍÆäÀ̽º Ä«µå(NIC) ¼¼°è ½ÃÀåÀº 2030³â±îÁö 15¾ï ´Þ·¯¿¡ µµ´Þ

2024³â¿¡ 7¾ï 6,570¸¸ ´Þ·¯·Î ÃßÁ¤µÇ´Â ½º¸¶Æ® ³×Æ®¿öÅ© ÀÎÅÍÆäÀ̽º Ä«µå(NIC) ¼¼°è ½ÃÀåÀº 2030³â¿¡´Â 15¾ï ´Þ·¯¿¡ À̸£°í, ºÐ¼® ±â°£ÀÎ 2024-2030³â CAGRÀº 12.0%¸¦ º¸ÀÏ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. º» º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ Çʵå ÇÁ·Î±×·¡¸Óºí °ÔÀÌÆ® ¾î·¹ÀÌ ±â¹ÝÀº CAGR 13.6%¸¦ ³ªÅ¸³»°í, ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 9¾ï 4,380¸¸ ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÁÖ¹®Çü ÁýÀûȸ·Î(Application-Specific Integrated Circuit) ±â¹Ý ºÎ¹®Àº ºÐ¼® ±â°£ Áß CAGRÀÌ 9.2%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 2¾ï 860¸¸ ´Þ·¯·Î ÃßÁ¤, Áß±¹Àº CAGR 16.4%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ ½º¸¶Æ® ³×Æ®¿öÅ© ÀÎÅÍÆäÀ̽º Ä«µå(NIC) ½ÃÀåÀº 2024³â¿¡ 2¾ï 860¸¸ ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ °æÁ¦´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 3¾ï 2,010¸¸ ´Þ·¯ ±Ô¸ð¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³â CAGRÀº 16.4%·Î ÃßÁ¤µË´Ï´Ù. ±âŸ ÁÖ¸ñÇØ¾ß ÇÒ Áö¿ªº° ½ÃÀåÀ¸·Î¼­´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖÀ¸¸ç, ºÐ¼® ±â°£ Áß CAGRÀº °¢°¢ 8.5%¿Í 10.8%¸¦ º¸ÀÏ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR ¾à 9.5%¸¦ º¸ÀÏ Àü¸ÁÀÔ´Ï´Ù.

¼¼°èÀÇ '½º¸¶Æ® ³×Æ®¿öÅ© ÀÎÅÍÆäÀ̽º Ä«µå(NIC)' ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

Ãֽе¥ÀÌÅͼ¾ÅÍ¿¡¼­ ½º¸¶Æ® NIC°¡ ±âÁ¸ ³×Æ®¿öÅ© Ä«µå¸¦ ´ëüÇÏ´Â ÀÌÀ¯´Â ¹«¾ùÀϱî?

µ¥ÀÌÅÍ, Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ ¹× °í¼º´É ¿ëµµÀÇ ±Þ°ÝÇÑ Áõ°¡·Î ÀÎÇØ ÀüÅëÀûÀÎ ³×Æ®¿öÅ© ÀÎÅÍÆäÀ̽º Ä«µå(NIC)´Â Çö´ë ±â¾÷ ¹× ÇÏÀÌÆÛ½ºÄÉÀÏ µ¥ÀÌÅͼ¾ÅÍ¿¡¼­ ºü¸£°Ô ±¸½ÄÀÌ µÇ¾î°¡°í ÀÖ½À´Ï´Ù. ½º¸¶Æ® NIC´Â FPGA, SoC ¶Ç´Â ASIC ¾ÆÅ°ÅØÃ³¸¦ »ç¿ëÇÏ¿© ¿Âº¸µå ó¸® ´É·ÂÀ» °®Ãá °íµµÀÇ ÇÁ·Î±×·¡¹ÖÀÌ °¡´ÉÇÑ Ä«µåÀÔ´Ï´Ù. ´Ü¼øÈ÷ µ¥ÀÌÅÍ ÆÐŶÀ» À̵¿½ÃŰ´Â Ç¥ÁØ NIC¿Í ´Þ¸®, ½º¸¶Æ® NIC´Â ÆÐŶ ÇÊÅ͸µ, ¾Ïȣȭ, TCP/IP ½ºÅà ó¸®, ¹æÈ­º® ÀÛµ¿, ·Îµå ¹ë·±½Ì°ú °°Àº ³×Æ®¿öÅ© ÀÛ¾÷À» Áß¾Óó¸®ÀåÄ¡(CPU)¿¡¼­ ¿ÀÇÁ·ÎµåÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¿ÀÇÁ·Îµå¸¦ ÅëÇØ ¼­¹öÀÇ ¼º´ÉÀ» Å©°Ô Çâ»ó½ÃŰ°í ´ë±â ½Ã°£À» ÁÙ¿© Àüü ½Ã½ºÅÛ È¿À²¼ºÀ» ³ôÀ̸ç, AI/ML Æ®·¹ÀÌ´×, ½Ç½Ã°£ ºÐ¼®, 5G ³×Æ®¿öÅ·, NFV(³×Æ®¿öÅ© ±â´É °¡»óÈ­) µî ¸®¼Ò½º Áý¾àÀûÀÎ ¿öÅ©·Îµå¸¦ ½ÇÇàÇÏ´Â ±â¾÷µéÀº ¿¡³ÊÁö ¼Òºñ¸¦ ÁÙÀÏ ¼ö ÀÖ½À´Ï´Ù. ¿£ºñµð¾Æ, ÀÎÅÚ, ÀÚÀϸµ½º(Çö AMD), ¸¶º§(Marvell) µî ÁÖ¿ä ±â¼ú º¥´õµéÀº ±ÞÁõÇÏ´Â ¼ö¿ä¿¡ ´ëÀÀÇϱâ À§ÇØ ½º¸¶Æ® NIC Çõ½Å¿¡ ÅõÀÚÇϰí ÀÖ½À´Ï´Ù. Amazon Web Services ¹× Microsoft Azure¿Í °°Àº Ŭ¶ó¿ìµå ¼­ºñ½º Á¦°ø¾÷üµéÀº ÀÌ¹Ì ½º¸¶Æ® NIC¸¦ ÀÎÇÁ¶ó¿¡ ÅëÇÕÇÏ¿© °í󸮷®, ÀúÁö¿¬ ȯ°æÀ» Áö¿øÇϰí ÀÖ½À´Ï´Ù. ¿ëµµÀÇ ±Ô¸ð°¡ È®´ëµÊ¿¡ µû¶ó '´ï' NIC¿¡¼­ Áö´ÉÇü NIC·ÎÀÇ ÀüȯÀº ¼±ÅÃÀÌ ¾Æ´Ñ ÇʼöÀ̸ç, Çϵå¿þ¾î °èÃþÀÇ ³×Æ®¿öÅ· ¾ÆÅ°ÅØÃ³¸¦ ÀçÁ¤ÀÇÇÏ°Ô µÉ °ÍÀÔ´Ï´Ù.

½º¸¶Æ® NIC°¡ Ŭ¶ó¿ìµå, ¿§Áö, AI ¿öÅ©·ÎµåÀÇ ÁøÈ­¿¡ ¾î¶»°Ô ±â¿©Çϰí Àִ°¡?

½º¸¶Æ® NIC´Â ºÐ»ê ȯ°æ Àü¹Ý¿¡ °ÉÃÄ ÇÁ·Î±×·¡¹ÖÀÌ °¡´ÉÇÏ°í ¾ÈÀüÇϰí È¿À²ÀûÀÎ µ¥ÀÌÅÍ ¸¶À̱׷¹À̼ÇÀ» Á¦°øÇÔÀ¸·Î½á »õ·Î¿î ±â¼ú »ýŰ踦 ±¸ÇöÇÏ´Â µ¥ ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» Çϰí ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ³×ÀÌÆ¼ºê ¾ÆÅ°ÅØÃ³¿¡¼­ ½º¸¶Æ® NIC´Â ¸¶ÀÌÅ©·Î¼­ºñ½º Åë½ÅÀ» °­È­Çϰí, ÄÁÅ×ÀÌ³Ê ³×Æ®¿öÅ·À» °¡¼ÓÈ­Çϸç, °¡»ó ½ºÀ§ÄªÀ» °ü¸®ÇÕ´Ï´Ù. ÀÌ´Â ¼ö¹é¸¸ °³ÀÇ ÄÁÅ×ÀÌ³Ê¿Í °¡»ó ¸Ó½ÅÀ» ½ÇÇàÇÏ´Â ÇÏÀÌÆÛ½ºÄÉÀÏ È¯°æ¿¡¼­ ƯÈ÷ Áß¿äÇÕ´Ï´Ù. Áö¿¬¿¡ ¹Î°¨ÇÏ°í ¸®¼Ò½º¿¡ Á¦¾àÀÌ ÀÖ´Â ¿§Áö ÄÄÇ»ÆÃ¿¡¼­ ½º¸¶Æ® NIC´Â ¸ðµç ÆÐŶÀ» Ŭ¶ó¿ìµå·Î ¼ÅƲ¹éÇÏÁö ¾Ê°íµµ ¾ÈÀüÇϰí È¿À²ÀûÀÎ µ¥ÀÌÅÍ ¶ó¿ìÆÃÀ» º¸ÀåÇϱâ À§ÇØ ·ÎÄà ó¸® ´É·ÂÀ» Á¦°øÇÕ´Ï´Ù. ½º¸¶Æ® NIC´Â ³×Æ®¿öÅ© ÅÚ·¹¸ÞÆ®¸®, Áö´ÉÇü Æ®·¡ÇÈ ½ºÆ¼¾î¸µ, ¼Ò½º ±Ùó¿¡¼­ °æ·®È­µÈ º¸¾È °­È­ µî ÁÖ¿ä ±â´ÉÀ» Áö¿øÇÕ´Ï´Ù. ¶ÇÇÑ, AI/ML ¿öÅ©·Îµå¿¡¼­ ½º¸¶Æ® NIC´Â ³×Æ®¿öÅ© º´¸ñÇö»óÀ» ÁÙÀ̰í RDMA(¿ø°Ý Á÷Á¢ ¸Þ¸ð¸® ¾×¼¼½º)¸¦ ÅëÇØ ºÐ»ê GPU Ŭ·¯½ºÅÍ¿¡¼­ ¸ðµ¨ ÈÆ·Ã¿¡ ÇʼöÀûÀÎ °í¼Ó ³ëµå °£ Åë½ÅÀ» ÃËÁøÇÏ¿© ºÐ»ê GPU Ŭ·¯½ºÅÍ¿¡¼­ ¸ðµ¨ ÈÆ·Ã¿¡ ÇʼöÀûÀÎ °í¼Ó ³ëµå °£ Åë½ÅÀ» Áö¿øÇÕ´Ï´Ù. ÀÌ Ä«µå´Â ¶ÇÇÑ NVMe over Fabrics(NVMe-oF)¸¦ ÅëÇÑ È®Àå °¡´ÉÇÑ ½ºÅ丮Áö ¼Ö·ç¼ÇÀ» Áö¿øÇÏ¿© µ¥ÀÌÅÍ·®ÀÌ ¸¹Àº AI ÆÄÀÌÇÁ¶óÀο¡ Á÷Á¢ÀûÀÎ °æ·Î¸¦ Á¦°øÇÕ´Ï´Ù. ÇÏÀ̺긮µå Ŭ¶ó¿ìµå, ºÐ»êÇü ¿§Áö ³×Æ®¿öÅ© ¶Ç´Â Ŭ·¯½ºÅÍÇü HPC ȯ°æ¿¡¼­ ½º¸¶Æ® NIC´Â Â÷¼¼´ë ÄÄÇ»ÆÃ ÆÐ·¯´ÙÀÓÀÌ ¿ä±¸ÇÏ´Â µ¥ÀÌÅÍ ¼Óµµ, µ¥ÀÌÅÍ ¾ç ¹× Áø½Ç¼ºÀ» Áö¿øÇÏ´Â µ¥ ÇʼöÀûÀÔ´Ï´Ù.

½º¸¶Æ® NICÀÇ ¾ÆÅ°ÅØÃ³ ¹× ±â´É Çõ½ÅÀÇ ¿øµ¿·ÂÀº?

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½º¸¶Æ® NIC ½ÃÀåÀÇ ¼ºÀåÀº ¸î °¡Áö ¿äÀο¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ´Ù - ¹«¾ùÀÌ ÀÌ·¯ÇÑ °¡¼ÓÈ­¸¦ ÃËÁøÇϰí Àִ°¡?

½º¸¶Æ® NIC ½ÃÀåÀÇ ¼ºÀåÀº ±â¼ú Çõ½Å, ÃÖÁ¾ »ç¿ëÀÚ ¿ä±¸ »çÇ×ÀÇ ÁøÈ­, ±â¾÷ Àü·«ÀÇ Àüȯ°ú Á÷°áµÇ´Â ¸î °¡Áö ¿äÀο¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ½À´Ï´Ù. ÁÖ¿ä ¿äÀÎÀº Ŭ¶ó¿ìµå ÄÄÇ»ÆÃÀÇ È®»ê°ú ÇÏÀÌÆÛ½ºÄÉÀÏ µ¥ÀÌÅͼ¾ÅÍÀÇ ºÎ»óÀÔ´Ï´Ù. ¶Ç ´Ù¸¥ ¿äÀÎÀº °¡»óÈ­ ¹× ÄÁÅ×À̳ÊÈ­·ÎÀÇ ÀüȯÀ̸ç, ½º¸¶Æ® NIC´Â È¿À²ÀûÀÎ °¡»ó ½ºÀ§Äª°ú ¿öÅ©·Îµå ºÐ¸®¸¦ °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. Á¦·Î Æ®·¯½ºÆ® º¸¾È ÇÁ·¹ÀÓ¿öÅ©¿¡ ´ëÇÑ ¼ö¿ä´Â ¼º´É ÀúÇÏ ¾øÀÌ ¾Ïȣȭ, ¾×¼¼½º Á¦¾î, Æ®·¡ÇÈ ¸ð´ÏÅ͸µ ±â´ÉÀ» ¿ÀÇÁ·ÎµåÇÒ ¼ö ÀÖ´Â ½º¸¶Æ® NICÀÇ Ã¤ÅÃÀ» ÃËÁøÇϰí ÀÖÀ¸¸ç, AI/ML ¹× ºòµ¥ÀÌÅÍ Ç÷§Æû¿¡ ÅõÀÚÇÏ´Â ±â¾÷µéÀº ƯÈ÷ ¸ÖƼ GPU ¹× °í¼º´É ȯ°æ¿¡¼­ ½º¸¶Æ® NIC¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ƯÈ÷ ¸ÖƼ GPU ¹× °í¼º´É ȯ°æ¿¡¼­ µ¥ÀÌÅÍ ¸¶À̱׷¹À̼ÇÀÇ º´¸ñÇö»óÀ» ÁÙÀ̱â À§ÇØ ½º¸¶Æ® NIC¸¦ ¼±ÅÃÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, 5G ³×Æ®¿öÅ©¿Í ¿§Áö ÄÄÇ»ÆÃ ÀÎÇÁ¶óÀÇ ±¸ÃàÀ¸·Î ³×Æ®¿öÅ© ¿§Áö¿¡¼­ ½Ç½Ã°£ ÆÐŶ ó¸®¿Í °æ·® °¡»óÈ­¸¦ Áö¿øÇÏ´Â NIC¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ¼ÒºñÀÚ Çൿµµ º¯È­Çϰí ÀÖÀ¸¸ç, ºñµð¿À ½ºÆ®¸®¹Ö, ¿Â¶óÀÎ °ÔÀÓ, °¡»ó ¿öÅ©½ºÆäÀ̽º µî ÀúÁö¿¬ ¹× °í°¡¿ë¼º ³×Æ®¿öÅ© ¼º´ÉÀ» ¿ä±¸ÇÏ´Â µðÁöÅÐ ¼­ºñ½º¿¡ ´ëÇÑ ÀÇÁ¸µµ°¡ ³ô¾ÆÁö°í ÀÖ½À´Ï´Ù. ¸¶Áö¸·À¸·Î, IT ÀÎÇÁ¶óÀÇ Áö¼Ó°¡´É¼º°ú ¿¡³ÊÁö È¿À²¼º¿¡ ´ëÇÑ Àü·«Àû °ü½ÉÀº CPU¿¡ ÀÇÁ¸ÇÏ´Â ÇÁ·Î¼¼½ÌÀ» ´ëüÇÒ ¼ö ÀÖ´Â Àü·Â È¿À²ÀûÀÎ ´ë¾ÈÀ¸·Î ½º¸¶Æ® NIC¸¦ ÃßÁøÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ãß¼¼µéÀ» Á¾ÇÕÇØ º¼ ¶§, ½º¸¶Æ® NIC´Â ´Ü¼øÇÑ Çϵå¿þ¾î ¾÷±×·¹À̵尡 ¾Æ´Ñ ÃֽмÒÇÁÆ®¿þ¾î Á¤ÀÇ Áö´ÉÇü µðÁöÅÐ ÀÎÇÁ¶ó¸¦ ±¸ÇöÇÏ´Â Áß¿äÇÑ ¼ö´ÜÀ¸·Î ÀÚ¸®¸Å±èÇϰí ÀÖ½À´Ï´Ù.

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Global Smart Network Interface Cards (NIC) Market to Reach US$1.5 Billion by 2030

The global market for Smart Network Interface Cards (NIC) estimated at US$765.7 Million in the year 2024, is expected to reach US$1.5 Billion by 2030, growing at a CAGR of 12.0% over the analysis period 2024-2030. Field Programmable Gate Arrays-based, one of the segments analyzed in the report, is expected to record a 13.6% CAGR and reach US$943.8 Million by the end of the analysis period. Growth in the Application-Specific Integrated Circuit-based segment is estimated at 9.2% CAGR over the analysis period.

The U.S. Market is Estimated at US$208.6 Million While China is Forecast to Grow at 16.4% CAGR

The Smart Network Interface Cards (NIC) market in the U.S. is estimated at US$208.6 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$320.1 Million by the year 2030 trailing a CAGR of 16.4% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 8.5% and 10.8% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 9.5% CAGR.

Global "Smart Network Interface Cards (NIC)" Market - Key Trends & Drivers Summarized

Why Are Smart NICs Replacing Traditional Network Cards In Modern Data Centers?

With the exponential growth of data, cloud computing, and high-performance applications, traditional Network Interface Cards (NICs) are rapidly becoming obsolete in modern enterprise and hyperscale data centers. Enter Smart NICs-advanced, programmable cards equipped with on-board processing power, typically using FPGA, SoC, or ASIC architectures. Unlike standard NICs that simply move data packets, Smart NICs can offload network tasks such as packet filtering, encryption, TCP/IP stack processing, firewall operations, and load balancing from the central processing unit (CPU). This offloading significantly improves server performance, reduces latency, and enhances overall system efficiency. Enterprises running resource-intensive workloads-like AI/ML training, real-time analytics, 5G networking, and NFV (Network Function Virtualization)-are increasingly deploying Smart NICs to optimize performance while reducing energy consumption. Leading tech vendors such as NVIDIA, Intel, Xilinx (now AMD), and Marvell are investing in Smart NIC innovation to meet the surging demand. Cloud service providers like Amazon Web Services and Microsoft Azure are already integrating Smart NICs into their infrastructure to support high-throughput, low-latency environments. As applications scale, the migration from “dumb” to intelligent NICs becomes a strategic necessity rather than an option, redefining how networking is architected at the hardware layer.

How Are Smart NICs Powering The Evolution Of Cloud, Edge, And AI Workloads?

Smart NICs are playing a pivotal role in enabling emerging technology ecosystems by providing programmable, secure, and efficient data movement across distributed environments. In cloud-native architectures, Smart NICs enhance microservices communication, accelerate container networking, and manage virtual switching, all while freeing up CPU cycles for core application tasks. This is especially crucial for hyperscale environments running millions of containers and virtual machines. In edge computing, where latency sensitivity and constrained resources are paramount, Smart NICs deliver local processing power and ensure secure, efficient data routing without needing to shuttle every packet back to the cloud. They support key functionalities such as network telemetry, intelligent traffic steering, and lightweight security enforcement closer to the source. Furthermore, in AI/ML workloads, Smart NICs facilitate fast inter-node communication-vital for training models on distributed GPU clusters-by reducing network bottlenecks and enabling RDMA (Remote Direct Memory Access). These cards also support scalable storage solutions through NVMe over Fabrics (NVMe-oF), providing a direct path for data-heavy AI pipelines. Whether in hybrid clouds, distributed edge networks, or clustered HPC setups, Smart NICs are integral to supporting the data velocity, volume, and veracity demanded by next-gen computing paradigms.

What’s Driving Innovation In Smart NIC Architectures And Capabilities?

The architecture of Smart NICs is undergoing a fundamental transformation to keep pace with the evolving networking demands of the digital economy. Initially built around off-the-shelf FPGAs for flexibility, modern Smart NICs are now shifting towards purpose-built SoCs and ASICs to enhance performance, reduce power consumption, and lower costs. These advanced NICs now include multi-core CPUs (often ARM-based), onboard memory, high-speed interconnects (PCIe Gen5, CXL), and support for security protocols like IPsec, TLS, and MACsec. Importantly, the programmability aspect is becoming more accessible through the adoption of open-source development frameworks such as P4 and eBPF, enabling developers to customize packet processing and security functions without touching core system software. Vendors are also embedding AI accelerators within NICs to provide localized inference for intelligent traffic analysis and anomaly detection. The convergence of networking and compute at the NIC level is giving rise to the Data Processing Unit (DPU) or Infrastructure Processing Unit (IPU), representing the next evolutionary step of Smart NICs. These advanced DPUs handle full-stack offloads, including storage and security, making them an essential building block for composable, software-defined infrastructures. The relentless innovation in Smart NIC design is laying the foundation for truly autonomous, high-performance, and programmable networks.

The Growth In The Smart NIC Market Is Driven By Several Factors-What’s Fueling This Acceleration?

The growth in the Smart NIC market is driven by several factors directly linked to technological transformation, evolving end-use requirements, and shifting enterprise strategies. A primary driver is the proliferation of cloud computing and the rise of hyperscale data centers, which require high-bandwidth, low-latency networking solutions to support ever-increasing workloads. Another factor is the shift toward virtualization and containerization, where Smart NICs enable efficient virtual switching and workload isolation. The demand for zero-trust security frameworks is pushing adoption, as Smart NICs can offload encryption, access control, and traffic monitoring functions without compromising performance. Enterprises investing in AI/ML and big data platforms are choosing Smart NICs to alleviate data movement bottlenecks, especially in multi-GPU and high-performance environments. Additionally, the deployment of 5G networks and edge computing infrastructures is driving demand for NICs that support real-time packet processing and lightweight virtualization at the network edge. Consumer behavior is also shifting, with a greater reliance on digital services-video streaming, online gaming, virtual workspaces-that demand low-latency and high-availability network performance. Finally, the strategic focus on sustainability and energy efficiency in IT infrastructure is promoting Smart NICs as a power-efficient alternative to CPU-bound processing. Together, these trends are establishing Smart NICs not just as a hardware upgrade, but as a critical enabler of modern, software-defined, intelligent digital infrastructures.

SCOPE OF STUDY:

The report analyzes the Smart Network Interface Cards (NIC) market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Type (Field Programmable Gate Arrays-based, Application-Specific Integrated Circuit-based, System On A Chip-based); Application (Data Center, Telecom, Other Applications)

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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