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Artificial Intelligence in Telecom

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2024³â¿¡ 4,860¸¸ ´Þ·¯·Î ÃßÁ¤µÇ´Â ÅÚ·¹ÄÞ ºÐ¾ß ÀΰøÁö´É(AI) ¼¼°è ½ÃÀåÀº 2024-2030³â°£ CAGR 42.2%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 4¾ï 250¸¸ ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. º» º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ AI ¼Ö·ç¼ÇÀº CAGR44.9%¸¦ ³ªÅ¸³»°í, ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 3¾ï 1,990¸¸ ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. AI ¼­ºñ½º ºÎ¹®ÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£¿¡ CAGR34.4%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 1,280¸¸ ´Þ·¯·Î ÃßÁ¤, Áß±¹Àº CAGR 39.8%·Î ¼ºÀå ¿¹Ãø

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¼¼°èÀÇ ÅÚ·¹ÄÞ ºÐ¾ß ÀΰøÁö´É(AI) ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

¿Ö ÀΰøÁö´ÉÀÌ Åë½ÅÀÇ ³×Æ®¿öÅ© ÃÖÀûÈ­, °í°´ °æÇè, ¾÷¹« È¿À²¼ºÀÇ Áß½ÉÀÌ µÇ°í Àִ°¡?

ÀΰøÁö´É(AI)Àº ¿¹ÃøÀû, ÀÚÀ²Àû, Áö´ÉÇü ³×Æ®¿öÅ© ¿î¿µÀ» °¡´ÉÇÏ°Ô ÇÔÀ¸·Î½á Àü ¼¼°è Åë½Å ȯ°æÀ» ÀçÁ¤ÀÇÇϰí ÀÖ½À´Ï´Ù. Åë½Å»ç¾÷ÀÚµéÀÌ ±ÞÁõÇÏ´Â µ¥ÀÌÅÍ ¾ç, 5G ±¸ÃàÀÇ º¹À⼺, °³ÀÎÈ­µÈ µðÁöÅÐ ¼­ºñ½º¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡¿¡ ´ëÀÀÇϱâ À§ÇØ AI´Â ÄÚ¾î, ¾×¼¼½º, ¼­ºñ½º °èÃþ¿¡ ÅëÇÕµÇ¾î ºñ¿ë È¿À²¼ºÀ» ³ôÀ̰í, ¼­ºñ½º ǰÁúÀ» Çâ»ó½Ã۸ç, ½Ç½Ã°£ ÀÇ»ç°áÁ¤À» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. ³×Æ®¿öÅ© Æ®·¡ÇÈ ¿¹Ãø ¹× ÀÌ»ó ¡ÈÄ °¨Áö, ¿¹Áöº¸Àü ¹× ºÎÁ¤ÇàÀ§ °¨¼Ò¿¡ À̸£±â±îÁö, AI´Â Åë½ÅÀÇ µðÁöÅÐ ÀüȯÀ» À§ÇÑ Àü·«Àû ÀÚ»êÀ¸·Î ÀÚ¸®¸Å±èÇϰí ÀÖ½À´Ï´Ù.

AI ±â¹Ý ³×Æ®¿öÅ© ÃÖÀûÈ­ µµ±¸¸¦ ÅëÇØ »ç¾÷ÀÚ´Â ¹æ´ëÇÑ ¾çÀÇ ½Ç½Ã°£ ¹× °ú°Å ¼º´É µ¥ÀÌÅ͸¦ ºÐ¼®ÇÏ¿© Æ®·¡ÇÈÀ» µ¿ÀûÀ¸·Î °ü¸®Çϰí, ¸®¼Ò½º¸¦ ÇÒ´çÇϰí, ¼­ºñ½º ǰÁú(QoS)À» À¯ÁöÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ½Ã½ºÅÛÀº È¥Àâ ÆÐÅÏÀ» °¨ÁöÇϰí, ±¸¼ºÀ» ÀÚµ¿À¸·Î Á¶Á¤Çϰí, ´Ù¿îŸÀÓÀ» ÃÖ¼ÒÈ­Çϰí, 󸮷®À» Çâ»ó½Ã۱â À§ÇÑ ½ÃÁ¤ Á¶Ä¡¸¦ ÃëÇÕ´Ï´Ù. SON(Self-Organizing Network)¿¡¼­´Â AI ¾Ë°í¸®ÁòÀÌ ¸Å°³º¯¼ö Á¶Á¤, °£¼· ¿ÏÈ­ ¹× ½ºÆåÆ®·³ °ü¸®¸¦ ÀÚµ¿È­ÇÏ¿© Åë½Å»ç¾÷ÀÚ°¡ 5G ¹× ¹Ì·¡ ÁöÇâÀû ¾ÆÅ°ÅØÃ³¸¦ º¸´Ù Á¤È®ÇÏ°í ½Å¼ÓÇÏ°Ô È®ÀåÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù.

°í°´ ÀÀ´ë ¾÷¹«¿¡¼­ AI´Â Áö´ÉÇü °¡»ó ºñ¼­, °³ÀÎÈ­µÈ ¼­ºñ½º Ãßõ, ¿ªµ¿ÀûÀÎ °¡°Ý Àü·«À» ½ÇÇöÇÏ°í °í°´ Âü¿© ¸ðµ¨À» º¯È­½Ã۰í ÀÖ½À´Ï´Ù. ÀÚ¿¬¾î ó¸®(NLP)¿Í °¨Á¤ ºÐ¼®À» ÅëÇØ Åë½Å»ç´Â °í°´ÀÇ ¹®ÀǸ¦ ÇØ¼®Çϰí, ÇØÁö À§ÇèÀ» ¿¹ÃøÇϰí, ¼­ºñ½º ¹®Á¦¸¦ »çÀü¿¡ ÇØ°áÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ AI ±â¹Ý ÅÍÄ¡Æ÷ÀÎÆ®´Â Äݼ¾ÅÍÀÇ ¾÷¹« ºÎ´ãÀ» ÁÙÀ̰í, ÇØ°á ½Ã°£À» °³¼±Çϸç, °í°´ ¸¸Á·µµ¸¦ ³ôÀÔ´Ï´Ù.

¿¹Ãø ºÐ¼®, ³×Æ®¿öÅ© ÀÎÅÚ¸®Àü½º, ¿§Áö¿¡¼­ÀÇ AI°¡ Åë½Å»çÀÇ ¿ª·®À» ¾î¶»°Ô È®ÀåÇϰí Àִ°¡?

¿¹Ãø ºÐ¼®Àº Åë½Å»ç¾÷ÀÚ°¡ Á¤Àû °èȹ¿¡¼­ ¿¹ÃøÀû ³×Æ®¿öÅ© °ü¸®·Î ÀüȯÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù. »ç¿ë·® µ¿Çâ, ±â±â µ¿ÀÛ, Áö¸®Àû °ø°£ µ¥ÀÌÅ͸¦ ±â¹ÝÀ¸·Î ÈÆ·ÃµÈ ¸Ó½Å·¯´×(ML) ¸ðµ¨Àº ¹Ì·¡ ¼ö¿ä¸¦ ¿¹ÃøÇϰí, »ç¾÷ÀÚ°¡ ÀÎÇÁ¶ó ¾÷±×·¹À̵带 °èȹÇϰí, ¿¡³ÊÁö ¼Òºñ¸¦ °ü¸®Çϸç, ÀáÀçÀûÀÎ ¼­ºñ½º Áß´ÜÀ» ¿ÏÈ­ÇÒ ¼ö ÀÖµµ·Ï µ½½À´Ï´Ù. ÀÌ·¯ÇÑ ¼±°ßÁö¸íÀº 5GÀÇ °í¹ÐµµÈ­, IoT ±â±âÀÇ ±ÞÁõ, ¿¹ÃøÇÒ ¼ö ¾ø´Â µ¿Àû ³×Æ®¿öÅ© ºÎÇϸ¦ À¯¹ßÇÏ´Â ÇÏÀ̺긮µå ÀÛ¾÷ ȯ°æ¿¡¼­ ƯÈ÷ Áß¿äÇÕ´Ï´Ù.

AI ±â¹Ý ³×Æ®¿öÅ© ÀÎÅÚ¸®Àü½º´Â Åë½Å ȯ°æ Àü¹ÝÀÇ º¸¾È, ºÎÁ¤ÇàÀ§ °¨Áö ¹× ÄÄÇöóÀ̾𽺠¸ð´ÏÅ͸µÀ» Áö¿øÇÕ´Ï´Ù. AI´Â Çൿ ºÐ¼®, ÀÌ»ó ¡ÈÄ °¨Áö, ÇнÀ ¸ðµ¨À» ÅëÇØ SIM º¹Á¦, ÅëÈ­ ½ºÇªÇÎ, ºÎÁ¤ ¾×¼¼½º ½Ãµµ¸¦ ½Ç½Ã°£À¸·Î ½Äº°Çϰí, ÇÕ¹ýÀû °¨Ã» ÄÄÇöóÀ̾ð½º, °¨»ç ÀÚµ¿È­, »çÀ̹ö À§Çè Á¡¼öÈ­¸¦ Áö¿øÇÏ¿© Åë½Å»ç¾÷ÀÚ°¡ ¼­ºñ½ºÀÇ ¹«°á¼ºÀ» À¯ÁöÇϸ鼭 °í°´ µ¥ÀÌÅ͸¦ º¸È£ÇÒ ¼ö ÀÖµµ·Ï µ½½À´Ï´Ù. ¼­ºñ½º ¹«°á¼ºÀ» À¯ÁöÇϸ鼭 °í°´ µ¥ÀÌÅ͸¦ º¸È£ÇÒ ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù. µ¿½Ã¿¡ AI´Â Àå¾Ö °ü¸® ½Ã½ºÅÛÀÇ ±Ùº» ¿øÀÎ ºÐ¼®À» ÀÚµ¿È­ÇÏ¿© Æò±Õ ÇØ°á ½Ã°£(MTTR)À» ´ÜÃàÇÏ°í ¼­ºñ½º ÀúÇϸ¦ ÃÖ¼ÒÈ­ÇÏ´Â µ¥ »ç¿ëµË´Ï´Ù.

¿§Áö AI´Â ƯÈ÷ AR/VR, ÀÚÀ²ÁÖÇàÂ÷, ½º¸¶Æ® ÆÑÅ丮, ¿ø°Ý Áø´Ü µîÀÇ ½Ç½Ã°£ ¿ëµµ¸¦ Áö¿øÇϸç, Åë½Å¿¡¼­ ÃÊÀúÁö¿¬ ¼­ºñ½ºÀÇ Àü·«Àû ½ÇÇö ¿ä¼Ò·Î ºÎ»óÇϰí ÀÖ½À´Ï´Ù. AI´Â ±âÁö±¹, ½º¸ô¼¿ ¶Ç´Â On-Premise MEC ³ëµå µî ³×Æ®¿öÅ© ¿§Áö¿¡¼­ ·ÎÄ÷Πµ¥ÀÌÅ͸¦ ó¸®ÇÔÀ¸·Î½á ¹éȦÀÇ È¥ÀâÀ» ¿ÏÈ­Çϰí, ºü¸¥ ¼Óµµ¿Í ¸Æ¶ô¿¡ ¸Â´Â ÀÇ»ç°áÁ¤À» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. Åë½Å»ç¾÷ÀÚ¿¡°Ô´Â ÇÙ½É ÀÎÇÁ¶ó¿¡¼­ ÄÄÇ»ÆÃ ºÎÇϸ¦ ºÐ»ê½ÃŰ¸é¼­ Â÷º°È­µÈ Áö¿¬ ½Ã°£ Áß½ÉÀÇ ¼­ºñ½º¸¦ ÅëÇØ 5G ¼öÀÍÈ­¸¦ ÃËÁøÇÒ ¼ö ÀÖ½À´Ï´Ù.

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Åë½Å»ç¾÷ÀÚµéÀº ³×Æ®¿öÅ© °èȹ ¹× ¼­ºñ½º ¿ÀÄɽºÆ®·¹À̼ǿ¡¼­ °í°´ À¯Áö ¹× ¸¶ÄÉÆÃ ÀÚµ¿È­¿¡ À̸£±â±îÁö ¿©·¯ ¿î¿µ ¹× »ó¾÷Àû °èÃþ¿¡ AI¸¦ ÅëÇÕÇϰí ÀÖÀ¸¸ç, B2C ¸ðµ¨¿¡¼­´Â °¡ÀÔÀÚ ÇൿÀ» ºÐ¼®Çϰí, ÄÁÅÙÃ÷ ¹øµéÀ» ÃßõÇϰí, »ç¿ë ÆÐÅÏ¿¡ µû¶ó ¿ÀÆÛ¸¦ Á¶Á¤ÇÏ¿© °¡ÀÔÀÚ´ç Æò±Õ ¸ÅÃâ(ARPU)À» Áõ°¡½ÃŰ´Â µ¥ AI¸¦ Ȱ¿ëÇϰí ÀÖ½À´Ï´Ù. AI´Â °¡ÀÔÀÚ ÇൿÀ» ºÐ¼®Çϰí, ÄÁÅÙÃ÷ ¹øµéÀ» ÃßõÇϰí, ÀÌ¿ë ÆÐÅÏ¿¡ ¸Â°Ô ¿ÀÆÛ¸¦ Á¶Á¤Çϰí, 1ÀÎ´ç Æò±Õ ¸ÅÃâ(ARPU)À» Áõ°¡½ÃŰ´Â µ¥ »ç¿ëµÇ°í ÀÖÀ¸¸ç, B2B ¼­ºñ½º¿¡¼­´Â Åë½Å»ç¾÷ÀÚ°¡ AI¸¦ ±â¾÷ ¿¬°á, »çÀ̹ö º¸¾È ¼Ö·ç¼Ç, IoT Ç÷§Æû¿¡ ÅëÇÕÇϰí, Á¦Á¶, ¹°·ù, ÇコÄɾî, ½º¸¶Æ® ½ÃƼ µî Á¦Á¶, ¹°·ù, ÇコÄɾî, ½º¸¶Æ®½ÃƼ µîÀÇ ¼öÁ÷Àû °í°´¿¡°Ô Áö´ÉÀûÀÌ°í ºÎ°¡°¡Ä¡°¡ ³ôÀº ¼­ºñ½º¸¦ Á¦°øÇÕ´Ï´Ù.

¹èÆ÷ Ãø¸é¿¡¼­ Åë½Å»ç¾÷ÀÚµéÀº ÀÚü AI °³¹ß°ú AI-as-a-service ÆÄÆ®³Ê½ÊÀ» °áÇÕÇÑ ÇÏÀ̺긮µå ¸ðµ¨À» äÅÃÇϰí ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ÇÏÀÌÆÛ½ºÄÉÀÏ·¯¿Í AI ½ºÅ¸Æ®¾÷Àº ÀÚµ¿ ÇÁ·ÎºñÀú´×, ³×Æ®¿öÅ© µðÁöÅÐ Æ®À©, AI ±â¹Ý °í°´ ÀλçÀÌÆ® µîÀÇ ÀÌ¿ë »ç·Ê¸¦ À§ÇÑ ¸ðµâÇü Ç÷§ÆûÀ» Á¦°øÇÕ´Ï´Ù. ÀÌ·¯ÇÑ Á¦ÈÞ¸¦ ÅëÇØ »ç¾÷ÀÚ´Â À¯¿¬¼º°ú ºñ¿ë °ü¸®¸¦ À¯ÁöÇϸ鼭 ºü¸£°Ô ±¸ÇöÇÒ ¼ö ÀÖÀ¸¸ç, AI Àü¹®¼ºÀ» Á¦µµÈ­Çϰí Àå±âÀûÀÎ Çõ½Å ·Îµå¸ÊÀ» Áö¿øÇϱâ À§ÇØ AI ¿ì¼ö ¼¾ÅÍ¿Í ºÎ¼­ °£ µ¥ÀÌÅÍ »çÀ̾𽺠ÆÀµµ ¼³¸³µÇ°í ÀÖ½À´Ï´Ù.

Áö¿ªº°·Î´Â ºÏ¹Ì¿Í ¼­À¯·´ÀÌ 5GÀÇ Á¶±â µµÀÔ, °­·ÂÇÑ µðÁöÅÐ ÀÎÇÁ¶ó, ¼­ºñ½º ǰÁú¿¡ ´ëÇÑ ±ÔÁ¦ Àǹ«È­ µîÀ» ¹è°æÀ¸·Î Åë½Å »ç¾÷¿¡¼­ AI ÅëÇÕÀ» ÁÖµµÇϰí ÀÖ½À´Ï´Ù. ¾Æ½Ã¾ÆÅÂÆò¾çÀº ºü¸£°Ô ¼ºÀåÇϰí ÀÖÀ¸¸ç, Áß±¹, ÀϺ», Çѱ¹, Àεµ Åë½Å»ç¾÷ÀÚµéÀº ³×Æ®¿öÅ© º¹À⼺À» °ü¸®Çϰí, Á֯ļö ´ë¿ª Ȱ¿ëÀ» ÃÖÀûÈ­Çϸç, ½º¸¶Æ®½ÃƼ °èȹÀ» Áö¿øÇϱâ À§ÇØ AI¸¦ µµÀÔÇϰí ÀÖ½À´Ï´Ù. Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«¿¡¼­´Â ¸ð¹ÙÀÏ ºê·Îµå¹êµå È®´ë, ³óÃÌ Áö¿ª ¿¬°á °èȹ ÀÚµ¿È­, ÀÚ¿øÀÌ Á¦ÇÑµÈ È¯°æ¿¡¼­ÀÇ ¿î¿µ ź·Â¼º Çâ»ó¿¡ AI¸¦ Ȱ¿ëÇϰí ÀÖ½À´Ï´Ù.

µ¥ÀÌÅÍ °Å¹ö³Í½º, Ç¥ÁØÈ­, ROI ÁöÇ¥´Â Àü·«Àû Àü°³¿¡ ¾î¶² ¿µÇâÀ» ¹ÌÄ¡°í Àִ°¡?

Åë½Å »ç¾÷ÀÚÀÇ AI µµÀÔÀº °­·ÂÇÑ µ¥ÀÌÅÍ °Å¹ö³Í½º, ±ÔÁ¦ Áؼö, À±¸®Àû °¨½ÃÀÇ Çʿ伺¿¡ ÀÇÇØ Á¡Á¡ ´õ ¸¹Àº ¿µÇâÀ» ¹Þ°í ÀÖ½À´Ï´Ù. Åë½Å»ç¾÷ÀÚµéÀº µ¥ÀÌÅÍ À͸íÈ­, Á¢±Ù Á¦¾î, Çù¾÷ ÇнÀ ¸ðµ¨¿¡ ÅõÀÚÇÏ¿© »ç¿ëÀÚÀÇ ÇÁ¶óÀ̹ö½Ã¸¦ Ä§ÇØÇÏÁö ¾Ê°í ¾ÈÀüÇÏ°Ô AI¸¦ ÈÆ·Ã½Ãų ¼ö ÀÖµµ·Ï Çϰí ÀÖÀ¸¸ç, GDPR(EU °³ÀÎÁ¤º¸º¸È£±ÔÁ¤), Áö¿ª Åë½Å¹ý, »çÀ̹ö º¸¾È ÇÁ·¹ÀÓ¿öÅ©¸¦ ÁؼöÇÏ´Â °ÍÀº ƯÈ÷ °í°´ °æÇè, °ú±Ý, ¸ð´ÏÅ͸µ ¿µ¿ª¿¡¼­ AI ¸ðµ¨ ±¸Ãà¿¡ ÀÖ¾î ¸Å¿ì Áß¿äÇÑ ¿ä¼ÒÀÔ´Ï´Ù. ƯÈ÷ °í°´ °æÇè, °ú±Ý, ¸ð´ÏÅ͸µ ¿µ¿ª¿¡¼­ AI ¸ðµ¨ ±¸ÃàÀÇ Çʼö Á¶°ÇÀÌ µÇ°í ÀÖ½À´Ï´Ù.

TM Æ÷·³, GSMA, ETSI µî ¾÷°è ´ÜüÀÇ Ç¥ÁØÈ­ ³ë·ÂÀº °øÅë ¾ÆÅ°ÅØÃ³, API, ¼º´É º¥Ä¡¸¶Å©¸¦ Á¤ÀÇÇÔÀ¸·Î½á AIÀÇ È®À强À» Áö¿øÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ç¥ÁØÀº AI ¸ðµâ °£ÀÇ »óÈ£¿î¿ë¼ºÀ» ÃËÁøÇϰí, º¥´õ Á¾¼Ó¼ºÀ» ÁÙÀ̰í, Åë½Å »ýŰè Àü¹ÝÀÇ ¿ÀÇ À̳뺣À̼ÇÀ» ÃËÁøÇÕ´Ï´Ù. ÀÌ¿Í ÇÔ²² ¼³¸í °¡´ÉÇÑ AI(XAI)°¡ È®»êµÇ°í ÀÖÀ¸¸ç, »ç¾÷ÀÚµéÀº ¼­ºñ½º Á¦°ø, ³×Æ®¿öÅ© ½º·ÎƲ¸µ, °í°´ Áö¿øÀÇ ¿ì¼±¼øÀ§¸¦ Á¤ÇÒ ¶§ AI ±â¹Ý ÀÇ»ç°áÁ¤À» Á¤´çÈ­ÇÒ ¼ö ÀÖ¾î¾ß ÇÕ´Ï´Ù.

ÅõÀÚ¼öÀÍ·ü(ROI)Àº AI ÀÌ´Ï¼ÅÆ¼ºê¸¦ È®ÀåÇÏ´Â µ¥ ÀÖ¾î ¿©ÀüÈ÷ Áß¿äÇÑ ¿ä¼ÒÀÔ´Ï´Ù. Åë½Å »ç¾÷ÀÚµéÀº Áö´ÉÇü ³Ã°¢ ½Ã½ºÅÛÀ» ÅëÇÑ ¿¡³ÊÁö Àý°¨, ¿¹Ãø À¯Áöº¸¼ö¸¦ ÅëÇÑ OPEX Àý°¨, AI ±â¹Ý °³ÀÎÈ­¸¦ ÅëÇÑ ÇØÁöÀ² °¨¼Ò µî °¡½ÃÀûÀÎ ºñ¿ë Àý°¨ È¿°ú°¡ ÀÖ´Â ÀÌ¿ë »ç·Ê¸¦ ¿ì¼±ÀûÀ¸·Î °í·ÁÇϰí ÀÖ½À´Ï´Ù. AI¿¡ ´ëÇÑ ´ë±Ô¸ð ÅõÀÚ¸¦ Á¤´çÈ­Çϱâ À§ÇØ ¸¹Àº »ç¾÷ÀÚµéÀº AIÀÇ ¼º°ú¸¦ ¼öÀÍ Çâ»ó, ¼­ºñ½º ¼öÁØ °³¼±, °í°´ À¯Áö ÁöÇ¥·Î ¿¬°á½ÃŰ´Â KPI ÇÁ·¹ÀÓ¿öÅ©¸¦ ±¸ÃàÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ROI ¸ðµ¨Àº °æ¿µÁøÀÇ µ¿ÀǸ¦ ¾ò°í Àå±âÀûÀÎ AI Çõ½Å ÆÄÀÌÇÁ¶óÀÎÀ» À¯ÁöÇÏ´Â µ¥ ÇÙ½ÉÀûÀÎ ¿ªÇÒÀ» ÇÕ´Ï´Ù.

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Á¶»ç ´ë»ó ±â¾÷ ¿¹(ÃÑ 42°³»ç)

  • Amdocs
  • Arista Networks
  • AT&T Inc.
  • Baltic Amadeus
  • C3.ai
  • Cisco Systems, Inc.
  • CM.com
  • Com-IoT Technologies
  • Conectys
  • Dell Technologies
  • Deutsche Telekom AG
  • Ericsson
  • Fujitsu Limited
  • Huawei Technologies Co., Ltd.
  • IBM Corporation
  • Infomark
  • Innowise Group
  • Intel Corporation
  • Itransition
  • Juniper Networks, Inc.

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LSH 25.06.20

Global Artificial Intelligence in Telecom Market to Reach US$402.5 Million by 2030

The global market for Artificial Intelligence in Telecom estimated at US$48.6 Million in the year 2024, is expected to reach US$402.5 Million by 2030, growing at a CAGR of 42.2% over the analysis period 2024-2030. AI Solutions, one of the segments analyzed in the report, is expected to record a 44.9% CAGR and reach US$319.9 Million by the end of the analysis period. Growth in the AI Services segment is estimated at 34.4% CAGR over the analysis period.

The U.S. Market is Estimated at US$12.8 Million While China is Forecast to Grow at 39.8% CAGR

The Artificial Intelligence in Telecom market in the U.S. is estimated at US$12.8 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$58.8 Million by the year 2030 trailing a CAGR of 39.8% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 38.7% and 36.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 28.4% CAGR.

Global Artificial Intelligence in Telecom Market - Key Trends & Drivers Summarized

Why Is Artificial Intelligence Becoming Central to Network Optimization, Customer Experience, and Operational Efficiency in Telecom?

Artificial Intelligence (AI) is redefining the global telecommunications landscape by enabling predictive, autonomous, and intelligent network operations. As telcos grapple with surging data volumes, the complexity of 5G rollouts, and increasing demand for personalized digital services, AI is being integrated across core, access, and service layers to drive cost efficiencies, elevate service quality, and enable real-time decision-making. Its role spans from network traffic forecasting and anomaly detection to predictive maintenance and fraud mitigation-making AI a strategic asset in telecom digital transformation.

AI-powered network optimization tools allow operators to analyze vast volumes of real-time and historical performance data to dynamically manage traffic, allocate resources, and maintain quality of service (QoS). These systems detect congestion patterns, auto-adjust configurations, and initiate corrective actions-minimizing downtime and enhancing throughput. In self-organizing networks (SONs), AI algorithms automate parameter tuning, interference mitigation, and spectrum management, enabling telcos to scale 5G and future-ready architectures with greater precision and responsiveness.

In customer-facing operations, AI is transforming engagement models by powering intelligent virtual assistants, personalized service recommendations, and dynamic pricing strategies. Natural language processing (NLP) and sentiment analysis allow telcos to interpret customer queries, predict churn risk, and proactively resolve service issues. These AI-driven touchpoints reduce call center loads, improve resolution times, and enhance customer satisfaction-shifting the focus from reactive support to anticipatory service delivery.

How Are Predictive Analytics, Network Intelligence, and AI at the Edge Expanding Telco Capabilities?

Predictive analytics is enabling telecom operators to transition from static planning to anticipatory network management. Machine learning (ML) models trained on usage trends, device behavior, and geospatial data forecast future demand, helping operators plan infrastructure upgrades, manage energy consumption, and mitigate potential service disruptions. This foresight is particularly critical in the context of 5G densification, IoT device proliferation, and hybrid work environments that generate unpredictable and dynamic network loads.

AI-driven network intelligence is supporting security, fraud detection, and compliance monitoring across telecom environments. Behavioral analytics, anomaly detection, and supervised learning models are used to identify SIM cloning, call spoofing, and unauthorized access attempts in real time. AI also supports lawful intercept compliance, audit automation, and cyber risk scoring-allowing telcos to protect customer data while maintaining service integrity. In parallel, AI is used to automate root cause analysis in fault management systems, accelerating mean time to resolution (MTTR) and minimizing service degradation.

Edge AI is emerging as a strategic enabler of ultra-low latency services in telecom, particularly in support of real-time applications such as AR/VR, autonomous vehicles, smart factories, and remote diagnostics. By processing data locally at the edge of the network-within base stations, small cells, or on-premise MEC nodes-AI reduces backhaul congestion and ensures high-speed, context-aware decision-making. For telcos, this facilitates the monetization of 5G through differentiated, latency-sensitive offerings while decentralizing compute loads from core infrastructure.

Which Commercial Models and Regional Markets Are Driving AI Integration in Telecom?

Telecom operators are embedding AI across multiple operational and commercial layers, from network planning and service orchestration to customer retention and marketing automation. In B2C models, AI is used to analyze subscriber behavior, recommend content bundles, and tailor offers to usage patterns, increasing average revenue per user (ARPU). In B2B services, telcos are integrating AI into enterprise connectivity, cybersecurity solutions, and IoT platforms to deliver intelligent, value-added services to vertical clients in manufacturing, logistics, healthcare, and smart cities.

In terms of deployment, telcos are adopting hybrid models that combine in-house AI development with AI-as-a-service partnerships. Cloud hyperscalers and AI startups are providing modular platforms for use cases such as automated provisioning, digital twins for networks, and AI-based customer insights. These collaborations allow operators to fast-track implementation while maintaining flexibility and cost control. AI centers of excellence and cross-functional data science teams are also being established to institutionalize AI expertise and support long-term transformation roadmaps.

Regionally, North America and Western Europe lead AI integration in telecom, driven by early 5G deployment, strong digital infrastructure, and regulatory mandates on service quality. Asia-Pacific is rapidly scaling, with operators in China, Japan, South Korea, and India deploying AI to manage network complexity, optimize spectrum usage, and support smart city initiatives. In the Middle East and Africa, AI is being used to expand mobile broadband, automate rural connectivity planning, and improve operational resilience in resource-constrained environments.

How Are Data Governance, Standards Alignment, and ROI Metrics Influencing Strategic Deployment?

AI adoption in telecom is increasingly shaped by the need for robust data governance, regulatory compliance, and ethical oversight. Operators are investing in data anonymization, access controls, and federated learning models to enable secure AI training without compromising user privacy. Compliance with GDPR, local telecom laws, and cybersecurity frameworks is becoming a prerequisite for AI model deployment-especially in customer experience, billing, and surveillance domains.

Standardization efforts by industry bodies such as TM Forum, GSMA, and ETSI are supporting AI scalability by defining common architectures, APIs, and performance benchmarks. These standards facilitate interoperability between AI modules, reduce vendor lock-in, and promote open innovation across the telecom ecosystem. In parallel, explainable AI (XAI) is gaining traction, with operators required to justify AI-driven decisions in service provisioning, network throttling, or customer support prioritization.

Return on investment (ROI) remains a critical factor in scaling AI initiatives. Telcos are prioritizing use cases with tangible cost reductions, such as energy savings from intelligent cooling systems, OPEX savings from predictive maintenance, and churn reduction through AI-enabled personalization. To justify larger AI investments, many operators are establishing KPI frameworks that link AI outcomes to revenue uplift, service-level improvement, and customer retention metrics. These ROI models are key to securing executive buy-in and sustaining long-term AI innovation pipelines.

What Are the Factors Driving Growth in the AI in Telecom Market?

The AI in telecom market is expanding steadily, fueled by 5G complexity, rising customer expectations, and the imperative for network automation and predictive service delivery. Operators are leveraging AI to build intelligent, adaptive networks that can self-optimize, self-heal, and dynamically align with user behavior and service demand.

Technological advancements in edge computing, real-time analytics, and autonomous systems are enhancing AI’s utility across both front-end and back-end telecom operations. As AI maturity increases, use cases are expanding beyond cost reduction to revenue generation through differentiated services, advanced analytics, and intelligent enterprise solutions.

Looking ahead, the success of AI in telecom will depend on how effectively operators integrate data governance, ecosystem collaboration, and value-based scaling into their digital strategies. As telcos evolve into digital service providers, could AI become the foundational layer enabling intelligent, resilient, and monetizable next-generation telecom infrastructure?

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence in Telecom market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Solutions, Services); Deployment (Cloud, On-Premise); Technology (Machine Learning, Natural Language Processing, Data Analytics); Application (Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, 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 42 Featured) -

  • Amdocs
  • Arista Networks
  • AT&T Inc.
  • Baltic Amadeus
  • C3.ai
  • Cisco Systems, Inc.
  • CM.com
  • Com-IoT Technologies
  • Conectys
  • Dell Technologies
  • Deutsche Telekom AG
  • Ericsson
  • Fujitsu Limited
  • Huawei Technologies Co., Ltd.
  • IBM Corporation
  • Infomark
  • Innowise Group
  • Intel Corporation
  • Itransition
  • Juniper Networks, Inc.

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 artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.

We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.

As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.

To our valued clients, we say, we have your back. We will present a simplified market reassessment by incorporating these changes!

APRIL 2025: NEGOTIATION PHASE

Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.

JULY 2025 FINAL TARIFF RESET

Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.

Reciprocal and Bilateral Trade & Tariff Impact Analyses:

USA <> CHINA <> MEXICO <> CANADA <> EU <> JAPAN <> INDIA <> 176 OTHER COUNTRIES.

Leading Economists - Our knowledge base tracks 14,949 economists including a select group of most influential Chief Economists of nations, think tanks, trade and industry bodies, big enterprises, and domain experts who are sharing views on the fallout of this unprecedented paradigm shift in the global econometric landscape. Most of our 16,491+ reports have incorporated this two-stage release schedule based on milestones.

COMPLIMENTARY PREVIEW

Contact your sales agent to request an online 300+ page complimentary preview of this research project. Our preview will present full stack sources, and validated domain expert data transcripts. Deep dive into our interactive data-driven online platform.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Artificial Intelligence in Telecom - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Rising Network Complexity and Data Traffic Throws the Spotlight on AI in Telecom Operations
    • Growth in 5G and Edge Deployments Spurs Use of AI for Network Slicing, Resource Allocation, and Load Balancing
    • OEM Integration of AI in Fault Detection and Self-Healing Networks Enhances Uptime and Performance
    • Expansion of Predictive Maintenance and Automated Ticketing Bodes Well for OPEX Reduction
    • Use of AI in Customer Service Chatbots and Voice Assistants Strengthens Subscriber Engagement
    • Telecom Analytics Platforms Leverage AI for Churn Prediction and Targeted Retention Strategies
    • Adoption of AI in Fraud Detection and Revenue Assurance Supports Real-Time Risk Mitigation
    • AI-Based Traffic Analysis Enhances QoS for Video Streaming, VoIP, and Gaming Applications
    • Growth in Telecom AI-as-a-Service Platforms Enables SME Access to Advanced Network Intelligence
    • Use in Dynamic Spectrum Management and Energy Optimization Supports Green Telecom Objectives
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Artificial Intelligence in Telecom Market Analysis of Annual Sales in US$ for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Artificial Intelligence in Telecom by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Solutions by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Solutions by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Network Optimization by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Network Optimization by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Self-Diagnostics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Self-Diagnostics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Virtual Assistance by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Virtual Assistance by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Customer Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Customer Analytics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for Network Security by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 19: World 6-Year Perspective for Network Security by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Cloud by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for Cloud by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 22: World Recent Past, Current & Future Analysis for On-Premise by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 23: World 6-Year Perspective for On-Premise by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 24: World Recent Past, Current & Future Analysis for Machine Learning by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 25: World 6-Year Perspective for Machine Learning by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Natural Language Processing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 27: World 6-Year Perspective for Natural Language Processing by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Data Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 29: World 6-Year Perspective for Data Analytics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 30: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 31: USA 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 34: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 35: USA 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 36: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 37: USA 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • CANADA
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 40: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 42: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 44: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 46: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 48: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 49: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 50: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 52: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 53: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 54: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 55: China 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 56: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 57: China 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 58: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 59: China 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 60: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 61: China 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 62: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 63: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 64: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 65: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 66: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 67: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 68: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 70: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 72: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 73: France 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 74: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 75: France 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 76: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 77: France 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 78: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 79: France 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 80: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 81: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 82: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 83: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 84: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 85: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 86: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • ITALY
    • TABLE 88: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 90: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 92: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 94: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 96: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 97: UK 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 98: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 99: UK 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 100: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 101: UK 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 102: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 103: UK 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 104: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 105: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 106: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 107: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 108: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 109: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 110: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 111: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 112: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 113: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 114: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 115: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 116: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 117: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 118: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 119: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 120: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 121: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 122: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 123: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 124: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 125: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 126: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 127: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030

IV. COMPETITION

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