¼¼°èÀÇ ÀÚµ¿Â÷¿ë µðÁöÅÐ ¸ÅÇÎ ½ÃÀå
Automotive Digital Mapping
»óǰÄÚµå : 1742855
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2025³â 06¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 375 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 5,850 £Ü 8,026,000
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 24,080,000
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 ÀÚµ¿Â÷¿ë µðÁöÅÐ ¸ÅÇÎ ½ÃÀåÀº 2030³â±îÁö 176¾ï ´Þ·¯¿¡ µµ´Þ

2024³â¿¡ 81¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ¼¼°èÀÇ ÀÚµ¿Â÷¿ë µðÁöÅÐ ¸ÅÇÎ ½ÃÀåÀº 2024-2030³â¿¡ CAGR 13.7%·Î ¼ºÀåÇϸç, 2030³â¿¡´Â 176¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ ¸®Æ÷Æ®¿¡¼­ ºÐ¼®ÇÑ ºÎ¹®ÀÇ ÇϳªÀÎ 2D ¸ÊÀº CAGR 15.5%¸¦ ±â·ÏÇϸç, ºÐ¼® ±â°£ Á¾·á±îÁö 120¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. 3D Áöµµ ºÎ¹®ÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£ Áß CAGR 10.0%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 22¾ï ´Þ·¯, Áß±¹Àº CAGR 18.6%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ ÀÚµ¿Â÷¿ë µðÁöÅÐ ¸ÅÇÎ ½ÃÀåÀº 2024³â¿¡ 22¾ï ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ÀÇ °æÁ¦´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 38¾ï ´Þ·¯ÀÇ ½ÃÀå ±Ô¸ð¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³âÀÇ CAGRÀº 18.6%ÀÔ´Ï´Ù. ±âŸ ÁÖ¸ñÇÒ ¸¸ÇÑ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖÀ¸¸ç, ºÐ¼® ±â°£ Áß CAGRÀº °¢°¢ 9.9%¿Í 12.4%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR 10.9%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°èÀÇ ÀÚµ¿Â÷¿ë µðÁöÅÐ ¸ÅÇÎ ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

ÀÚµ¿Â÷ µðÁöÅÐ ¸ÅÇÎÀÌ Ä¿³ØÆ¼µå, ÀÚÀ²ÁÖÇà, Áö´ÉÇü ¸ðºô¸®Æ¼ ½Ã½ºÅÛÀÇ ±â¹ÝÀÌ µÇ´Â ÀÌÀ¯´Â ¹«¾ùÀΰ¡?

ÀÚµ¿Â÷¿ë µðÁöÅÐ ¸ÅÇÎÀº ADAS, ÀÚÀ²ÁÖÇà, Ä¿³ØÆ¼µå ¸ðºô¸®Æ¼ ¼­ºñ½º µî Â÷¼¼´ë ÀÚµ¿Â÷ Ç÷§ÆûÀ» Áö¿øÇÏ´Â ±â¹Ý ±â¼ú·Î ÁøÈ­Çϰí ÀÖ½À´Ï´Ù. ±âÁ¸ÀÇ GPS ±â¹Ý ³»ºñ°ÔÀ̼ǰú ´Þ¸®, µðÁöÅÐ Áöµµ´Â ÇöÀç µµ·Î Çü»ó, Â÷¼± ´ÜÀ§ÀÇ ¼¼ºÎ Á¤º¸, ±³Åë Ç¥ÁöÆÇ, µ¿Àû ¼Óµµ Á¦ÇÑ, ½Ç½Ã°£ ±³Åë È帧 µî °íÈ­Áú(HD) ¹× ½Ç½Ã°£ ÄÁÅØ½ºÆ® µ¥ÀÌÅ͸¦ ÅëÇÕÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ç³ºÎÇÑ Áöµµ µ¥ÀÌÅͼ¼Æ®¸¦ ÅëÇØ Â÷·®Àº ȯ°æÀ» º¸´Ù Á¤È®ÇÏ°Ô ÀνÄÇϰí ÇØ¼®ÇÒ ¼ö ÀÖÀ¸¸ç, ¿¹Ãø ÁÖÇà ¸ðµ¨°ú ´Éµ¿ÀûÀÎ °æ·Î Á¶Á¤ÀÌ °¡´ÉÇØÁý´Ï´Ù.

µðÁöÅÐ Áöµµ¿¡ ´ëÇÑ ÀÇÁ¸µµ°¡ ³ô¾ÆÁü¿¡ µû¶ó ³»ºñ°ÔÀ̼Ç, ÷´Ü ¿îÀü º¸Á¶ ±â´É, OTA(Over-the-Air) ¾÷µ¥ÀÌÆ®, Â÷·®¿ë ÅÚ·¹¸Åƽ½º, À§Ä¡ ±â¹Ý ¼­ºñ½º µî ´Ù¾çÇÑ ¿ëµµ·Î È®´ëµÇ°í ÀÖ½À´Ï´Ù. Â÷·®ÀÌ ¼ÒÇÁÆ®¿þ¾î·Î Á¤ÀÇµÇ°í ¼¾¼­°¡ ÀåÂøµÇ¸é, Áöµµ µ¥ÀÌÅÍ´Â ¿ÜºÎ ÁÖÇà ȯ°æÀÇ ±¸Á¶È­µÈ µðÁöÅÐ º¹Á¦º»À» Á¦°øÇÏ¿© ¿îÀüÀÚÀÇ ÀÇ»ç°áÁ¤°ú ÀÚµ¿ Á¦¾î ·ÎÁ÷¿¡ ÇʼöÀûÀÎ ¿ªÇÒÀ» ÇÕ´Ï´Ù. ¿ÏÀü ÀÚÀ²ÁÖÇà ½Ã³ª¸®¿À¿¡¼­ °íÁ¤¹Ð µðÁöÅÐ Áöµµ´Â LiDAR, ·¹ÀÌ´õ, Ä«¸Þ¶ó¿Í °°Àº Â÷·® žÀç ¼¾¼­¸¦ º¸¿ÏÇÏ¿© º¹ÀâÇÑ È¯°æ¿¡¼­µµ ¾ÈÀüÇϰí È¿À²ÀûÀÎ ¿îÀüÀ» ½ÇÇöÇÒ ¼ö ÀÖ´Â Áߺ¹ ¾ÈÀü ·¹ÀÌ¾î ¿ªÇÒÀ» ÇÕ´Ï´Ù.

Ŭ¶ó¿ìµå Ç÷§Æû, ¼¾¼­ À¶ÇÕ, AI´Â ¾î¶»°Ô µðÁöÅÐ Áöµµ ±â´ÉÀ» °­È­Çϴ°¡?

Ŭ¶ó¿ìµå ±â¹Ý ¸ÅÇÎ Ç÷§ÆûÀº µðÁöÅÐ Áöµµ¸¦ »ý¼º, ¾÷µ¥ÀÌÆ® ¹× ¹èÆ÷ÇÏ´Â ¹æ½Ä¿¡ Çõ¸íÀ» ÀÏÀ¸Å°°í ÀÖ½À´Ï´Ù. Ä¿³ØÆ¼µåÄ«, ÀÎÇÁ¶ó ¼¾¼­, Å©¶ó¿ìµå ¼Ò½Ì¿¡¼­ ½Ç½Ã°£À¸·Î µ¥ÀÌÅ͸¦ ¼öÁýÇÏ¿© Áöµµ ¼Ó¼ºÀ» Áö¼ÓÀûÀ¸·Î ¾÷µ¥ÀÌÆ®Çϰí, Áöµµ¸¦ Ç×»ó ÃֽŠ¸Æ¶ô¿¡ ¸Â°Ô ¾÷µ¥ÀÌÆ®ÇÒ ¼ö ÀÖ°Ô ÇØÁÝ´Ï´Ù. ÀÌ·¯ÇÑ Å¬¶ó¿ìµå ½Ã½ºÅÛÀº ¹æ´ëÇÑ Áö¿ªÀû °ø°£ µ¥ÀÌÅͼ¼Æ®¸¦ ´ë±Ô¸ð·Î Áý°è ¹× ó¸®ÇÏ¿© HD¸Ê¿¡ µµ·Î ·¹À̾ƿô»Ó¸¸ ¾Æ´Ï¶ó °ø»ç ±¸¿ª, ÅëÇà ±ÝÁö, ¾ÇõÈÄ ¿µÇâ µî ÀϽÃÀûÀÎ º¯È­µµ ¹Ý¿µÇÕ´Ï´Ù.

¼¾¼­ À¶ÇÕÀº °íÁ¤¹ÐÇÏ°í ¿ªµ¿ÀûÀÎ ¸ÅÇÎÀ» °¡´ÉÇÏ°Ô ÇÏ´Â Áß¿äÇÑ ¿ä¼ÒÀÔ´Ï´Ù. Â÷·®¿¡ žÀçµÈ LiDAR, ·¹ÀÌ´õ, GPS, Ä«¸Þ¶óÀÇ µ¥ÀÌÅÍ´Â Á¤¹ÐÇÑ È¯°æ ¸ðµ¨À» »ý¼ºÇϱâ À§ÇØ ÅëÇյ˴ϴÙ. ÀΰøÁö´É°ú ¸Ó½Å·¯´× ¾Ë°í¸®ÁòÀº Á¡Á¡ ´õ ¸¹Àº ¹°Ã¼ ºÐ·ù, ÀÌ»ó °¨Áö, ÆÐÅÏ ÀνĿ¡ Àû¿ëµÇ¾î µðÁöÅÐ ÁöµµÀÇ ÀÚµ¿ ÁÖ¼® ¹× °³¼±À» °¡´ÉÇÏ°Ô Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ½º¸¶Æ® Áöµµ´Â ½Ç½Ã°£ Â÷·® À§Ä¡ ÆÄ¾Ç, ±Ëµµ °èȹ, »óȲº° Á¶Á¾À» Áö¿øÇϸç, ¹ÝÀÚÀ²ÁÖÇà°ú ÀÚÀ²ÁÖÇà ¸ðµÎ¿¡ ÇʼöÀûÀÔ´Ï´Ù.

ÀÚµ¿Â÷ µðÁöÅÐ ¸ÅÇÎÀÇ Ã¤ÅÃÀ» ÃËÁøÇÏ´Â Â÷·® Ä«Å×°í¸®¿Í ºñÁî´Ï½º ¸ðµ¨Àº ¹«¾ùÀΰ¡?

ÀÚÀ²ÁÖÇàÂ÷¿Í ·Îº¿ ¾×½Ã½º´Â µðÁöÅÐ ¸ÅÇÎÀÇ °¡Àå Áøº¸µÈ ÀÌ¿ë »ç·Ê Áß ÇϳªÀ̸ç, µµ½Ã ¹× º¹ÇÕ ±³Åë ȯ°æ¿¡¼­ ¾ÈÀüÇÏ°Ô ÁÖÇàÇϱâ À§ÇØ ¼¾Æ¼¹ÌÅÍ ´ÜÀ§ÀÇ Á¤È®µµ¿Í Áö¼ÓÀûÀÎ ¾÷µ¥ÀÌÆ®°¡ ÇÊ¿äÇϸç, ADAS ·¹º§ 2+ ½Ã½ºÅÛÀ» ÀåÂøÇÑ ½Â¿ëÂ÷µµ °í¼Óµµ·Î º¸Á¶, ¾î´ðƼºê Å©·çÁî ÄÁÆ®·Ñ, Â÷¼± À¯Áö ±â´ÉÀ» °­È­Çϱâ À§ÇØ ¾î´ðƼºê Å©·çÁî ÄÁÆ®·Ñ, Â÷¼± À¯Áö ±â´ÉÀ» °­È­Çϱâ À§ÇØ µðÁöÅÐ Áöµµ¸¦ ³»ÀåÇϰí ÀÖ½À´Ï´Ù. Àü±âÀÚµ¿Â÷(EV)´Â ƯÈ÷ ÁÖÇà°Å¸®¿¡ ¿µÇâÀ» ¹Þ±â ½¬¿î À̵¿ ½Ã³ª¸®¿À¿¡¼­ ¿¡³ÊÁö »ç¿ë·®, °æ·Î °èȹ, ÃæÀü¼Ò Á¢±ÙÀ» ÃÖÀûÈ­Çϱâ À§ÇØ Áöµµ µ¥ÀÌÅ͸¦ Ȱ¿ëÇÏ´Â °æ¿ì°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù.

»ó¾÷¿ë Â÷·® ¿î¿µÀÚ, ¹°·ù ÇÁ·Î¹ÙÀÌ´õ ¹× ¹è¼Û Ç÷§ÆûÀº µðÁöÅÐ ¸ÅÇÎÀ» Ȱ¿ëÇÏ¿© °æ·Î ÃÖÀûÈ­¸¦ °£¼ÒÈ­Çϰí, Â÷·® °Åµ¿À» ¸ð´ÏÅ͸µÇϸç, ¿¬·á ¼Òºñ¸¦ Àý°¨Çϰí ÀÖ½À´Ï´Ù. ÅÚ·¹¸Åƽ½º ½Ã½ºÅÛ°úÀÇ ÅëÇÕÀ» ÅëÇØ Â÷·® °ü¸®ÀÚ´Â µ¥ÀÌÅÍ¿¡ ±â¹ÝÇÑ ÀÇ»ç°áÁ¤À» ³»¸®°í ¾÷¹« È¿À²¼ºÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ °øÀ¯ ¸ðºô¸®Æ¼ ¼­ºñ½º ¹× ¶óÀ̵åÇìÀϸµ Ç÷§ÆûÀº ¿îÀüÀÚ ¹èÁ¤, °í°´ °æÇè ¹× ¾ÈÀü ±ÔÁ¤ Áؼö¸¦ °³¼±Çϱâ À§ÇØ Áöµµ API¸¦ ÅëÇÕÇϰí ÀÖ½À´Ï´Ù.

Áö¿ª ÀÎÇÁ¶ó, ±ÔÁ¦, µ¥ÀÌÅÍ »ýŰè´Â ¾î¶»°Ô ½ÃÀåÀÇ ¸ð¸àÅÒÀ» Çü¼ºÇϰí Àִ°¡?

¾Æ½Ã¾ÆÅÂÆò¾çÀº Áß±¹, ÀϺ», Çѱ¹ÀÌ ÁÖµµÇÏ´Â ÁÖ¿ä ¼ºÀå Çãºê·Î¼­ ½º¸¶Æ® ½ÃƼ ÀÎÇÁ¶ó, 5G ¿¬°á, ÀÚÀ²ÁÖÇàÂ÷ ½Ã¹ü ¿îÇà µîÀ¸·Î Áöµµ ±â¹Ý Çõ½ÅÀÌ °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. Á¤ºÎ°¡ Áö¿øÇϴ ÷´Ü µµ·Î±³Åë½Ã½ºÅÛ(ITS) °³¹ßÀº ±¹³»ÀÇ °­·ÂÇÑ ±â¼ú »ýŰè¿Í °áÇÕÇÏ¿© ¹ÐÁýµÈ µµ½Ã ȯ°æ¿¡ ¸Â´Â °íǰÁú µðÁöÅÐ Áöµµ ¼­ºñ½º °³¹ßÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù.

À¯·´Àº ±³Åë¾ÈÀü ¹× µðÁöÅÐ ÀÚµ¿Â÷ ÄÄÇöóÀ̾𽺿¡ ´ëÇÑ ¾ö°ÝÇÑ ±ÔÁ¦ ÇÁ·¹ÀÓ¿öÅ©·Î ÀÎÇØ ºü¸£°Ô ¹ßÀüÇϰí ÀÖÀ¸¸ç, eCall, HD ¸ÅÇÎ ÄÁ¼Ò½Ã¾ö, V2X(Vehicle-to-Everything) ÅëÇÕ°ú °°Àº ±¸»óÀº »ó¼¼Çϰí Ç¥ÁØÈ­µÈ Áöµµ Ç÷§Æû¿¡ ´ëÇÑ OEM ÅõÀÚ¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ¿¡ ´ëÇÑ OEM ÅõÀÚ¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ºÏ¹Ì´Â ¿©ÀüÈ÷ Áß¿äÇÑ Áö¿ªÀÌÁö¸¸, ÀÌ´Â ´ëÇü Áöµµ ȸ»ç, ÀÚÀ²ÁÖÇà °ü·Ã ½ºÅ¸Æ®¾÷, ±×¸®°í AVÀÇ Á¶±â Ãâ½Ã¿¡ À¯¸®ÇÑ ¹æ´ëÇÑ °í¼Óµµ·Î ³×Æ®¿öÅ©°¡ Á¸ÀçÇϱ⠶§¹®ÀÔ´Ï´Ù. Áßµ¿°ú ¶óƾ¾Æ¸Þ¸®Ä«ÀÇ ½ÅÈï ½ÃÀå¿¡¼­´Â ¸ðºô¸®Æ¼ Çö´ëÈ­ ¹× ½º¸¶Æ® ÀÎÇÁ¶ó ÇÁ·ÎÁ§Æ®ÀÇ ÀÏȯÀ¸·Î µðÁöÅÐ Áöµµ¿¡ ´ëÇÑ °ü½ÉÀÌ Áõ°¡Çϰí ÀÖ½À´Ï´Ù.

°³¹æÇü Áöµµ Ç÷§Æû, Àü·«Àû Á¦ÈÞ, µ¥ÀÌÅÍ ¼öÀÍÈ­´Â ½ÃÀå È®´ë¿¡ ¾î¶² ¿ªÇÒÀ» Çϴ°¡?

°³¹æÀûÀ̰í Çù¾÷ÀûÀÎ Áöµµ Ç÷§ÆûÀº OEM, Tier 1 °ø±Þ¾÷ü, ±â¼ú ±â¾÷ÀÌ °øÀ¯µÈ ÁöÇü °ø°£ µ¥ÀÌÅͼ¼Æ®¿¡ ±â¿©Çϰí, Á¢±ÙÇϰí, Çõ½ÅÇÒ ¼ö ÀÖ´Â °³¹æÇü Áöµµ Ç÷§ÆûÀÌ Àα⸦ ²ø°í ÀÖ½À´Ï´Ù. MOBI), HEREÀÇ Open Location Platform, HD Map Ç¥ÁØÈ­ ¿¬ÇÕ µîÀÇ ±¸»óÀº µðÁöÅÐ ¸ÅÇÎ »ýŰ迡¼­ µ¥ÀÌÅÍ ¼ÒÀ¯±Ç, »óÈ£¿î¿ë¼º, º¸¾ÈÀ» ÀçÁ¤ÀÇÇϰí ÀÖ½À´Ï´Ù.

ÀÚµ¿Â÷ Á¦Á¶¾÷ü, Áöµµ ȸ»ç, Ŭ¶ó¿ìµå ÇÁ·Î¹ÙÀÌ´õ °£ÀÇ Àü·«Àû Á¦ÈÞ¸¦ ÅëÇØ È®Àå °¡´ÉÇÑ ¼Ö·ç¼Ç°ú ºü¸¥ ½ÃÀå Ãâ½Ã°¡ °¡´ÉÇØÁ³À¸¸ç, AV ÇöÁöÈ­, ³¯¾¾ ¶ó¿ìÆÃ, ±³Åë ºÐ¼® µî ¿ëµµº° ÀÎÅÚ¸®Àü½º¸¦ °®Ãá Áöµµ ·¹À̾îÀÇ °øµ¿ °³¹ßÀº Çõ½ÅÀ» °¡¼ÓÈ­Çϰí ÀÖ½À´Ï´Ù. Çõ½ÅÀ» °¡¼ÓÈ­Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ OEM°ú Ç÷§Æû ÇÁ·Î¹ÙÀÌ´õµéÀº »ó¾÷, º¸Çè, ÀÎÇÁ¶ó °èȹ µîÀ» À§ÇØ Â÷·®¿¡¼­ »ý¼ºµÈ Áö¸® µ¥ÀÌÅ͸¦ Ȱ¿ëÇϰí ÀÖÀ¸¸ç, ¶óÀ̼±½Ì ¸ðµ¨°ú µ¥ÀÌÅÍ ¼öÀÍÈ­ ±âȸµµ »ý°Ü³ª°í ÀÖ½À´Ï´Ù.

ÀÚµ¿Â÷ µðÁöÅÐ ¸ÅÇÎ ½ÃÀåÀÇ ¼ºÀåÀ» °¡¼ÓÇÏ´Â ¿äÀÎÀº ¹«¾ùÀΰ¡?

ÀÚµ¿Â÷ µðÁöÅÐ ¸ÅÇÎ ½ÃÀåÀº Á¤È®¼º, Áö´ÉÈ­, ÀÚµ¿È­°¡ ¸ðºô¸®Æ¼ ÁøÈ­ÀÇ ÇÙ½ÉÀ¸·Î ¶°¿À¸£¸é¼­ Áö¼ÓÀûÀÎ ¼ºÀå¼¼¸¦ º¸À̰í ÀÖ½À´Ï´Ù. ¿îÀüÀÚ ¾ÈÀü Çâ»ó¿¡¼­ ¿ÏÀüÇÑ ÀÚÀ²¼º ½ÇÇö¿¡ À̸£±â±îÁö µðÁöÅÐ Áöµµ´Â ÀÌÁ¦ ÀÚµ¿Â÷ ¹ë·ùüÀÎÀÇ ¸ðµç °èÃþ¿¡¼­ ÇʼöÀûÀÎ ÀÚ»êÀ¸·Î ÀÚ¸® Àâ¾Ò½À´Ï´Ù.

ÁÖ¿ä ÃËÁø¿äÀÎÀ¸·Î´Â ADASÀÇ º¸±Þ È®´ë, ÀÚÀ²ÁÖÇàÂ÷ °³³äÀÇ È®´ë, EV ¶ó¿ìÆÃÀÇ À§Ä¡Á¤º¸¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡, Ä¿³ØÆ¼µåÄ« »ýŰèÀÇ È®»ê µîÀ» µé ¼ö ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ÅëÇÕ, AI ±â¹Ý Áöµµ º¸°­, ÀÌÁ¾ »ê¾÷°£ Çù¾÷Àº ¹Ì·¡ ¸ðºô¸®Æ¼¸¦ ½ÇÇöÇÏ´Â Àü·«Àû Àο¡ÀÌºí·¯·Î¼­ µðÁöÅÐ ¸ÅÇÎÀÇ ¿ªÇÒÀ» ´õ¿í °­È­½Ã۰í ÀÖ½À´Ï´Ù.

¾ÕÀ¸·Î ¸ðºô¸®Æ¼ÀÇ ¹Ì·¡´Â ÀÚµ¿Â÷ÀÇ ÀÎÁö ´É·Â»Ó¸¸ ¾Æ´Ï¶ó ÁöµµÀÇ ¿¹Ãø ´É·Â¿¡ µû¶ó ´Þ¶óÁú ¼ö ÀÖ½À´Ï´Ù. ÀÚµ¿Â÷ÀÇ µðÁöÅÐ Áöµµ°¡ ¿¹ÃøÀûÀÌ°í ¹®¸ÆÀ» ÀǽÄÇÑ ±³Åë ³×Æ®¿öÅ©¸¦ ¿òÁ÷ÀÌ´Â ½Å°æ°è°¡ µÉ ¼ö Àִ°¡?

ºÎ¹®

ÁöµµÁ¦ÀÛ(2D ¸Ê, 3D ¸Ê, À§¼º ¿µ»ó), ¾ÖÇø®ÄÉÀ̼Ç(³»ºñ°ÔÀÌ¼Ç ½Ã½ºÅÛ, ÅÚ·¹¸Åƽ½º, ADAS(÷´Ü¿îÀüÀÚº¸Á¶½Ã½ºÅÛ), ±âŸ ¾ÖÇø®ÄÉÀ̼Ç), ÃÖÁ¾ ¿ëµµ(½Â¿ëÂ÷, »ó¿ëÂ÷)

Á¶»ç ´ë»ó ±â¾÷ÀÇ ¿¹(ÃÑ 42°Ç)

°ü¼¼ ¿µÇâ °è¼ö

Global Industry Analysts´Â º»»çÀÇ ±¹°¡, Á¦Á¶°ÅÁ¡, ¼öÃâÀÔ(¿ÏÁ¦Ç° ¹× OEM)À» ±â¹ÝÀ¸·Î ±â¾÷ÀÇ °æÀï·Â º¯È­¸¦ ¿¹ÃøÇß½À´Ï´Ù. ÀÌ·¯ÇÑ º¹ÀâÇÏ°í ´Ù¸éÀûÀÎ ½ÃÀå ¿ªÇÐÀº ÀÎÀ§ÀûÀÎ ¼öÀÔ¿ø°¡ Áõ°¡, ¼öÀͼº °¨¼Ò, °ø±Þ¸Á ÀçÆí µî ¹Ì½ÃÀû ¹× °Å½ÃÀû ½ÃÀå ¿ªÇÐ Áß¿¡¼­µµ ƯÈ÷ °æÀï»çµé¿¡°Ô ¿µÇâÀ» ¹ÌÄ¥ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

Global Industry Analysts´Â ¼¼°è ÁÖ¿ä ¼ö¼® ÀÌÄÚ³ë¹Ì½ºÆ®(1,4,949¸í), ½ÌÅ©ÅÊÅ©(62°³ ±â°ü), ¹«¿ª ¹× »ê¾÷ ´Üü(171°³ ±â°ü)ÀÇ Àü¹®°¡µéÀÇ ÀǰßÀ» ¸é¹ÐÈ÷ °ËÅäÇÏ¿© »ýŰ迡 ¹ÌÄ¡´Â ¿µÇâÀ» Æò°¡ÇÏ°í »õ·Î¿î ½ÃÀå Çö½Ç¿¡ ´ëÀÀÇϰí ÀÖ½À´Ï´Ù. ¸ðµç ÁÖ¿ä ±¹°¡ÀÇ Àü¹®°¡¿Í °æÁ¦ÇÐÀÚµéÀÌ °ü¼¼¿Í ±×°ÍÀÌ ÀÚ±¹¿¡ ¹ÌÄ¡´Â ¿µÇâ¿¡ ´ëÇÑ ÀǰßÀ» ÃßÀû Á¶»çÇß½À´Ï´Ù.

Global Industry Analysts´Â ÀÌ·¯ÇÑ È¥¶õÀÌ ÇâÈÄ 2-3°³¿ù ³»¿¡ ¸¶¹«¸®µÇ°í »õ·Î¿î ¼¼°è Áú¼­°¡ º¸´Ù ¸íÈ®ÇÏ°Ô È®¸³µÉ °ÍÀ¸·Î ¿¹»óÇϰí ÀÖÀ¸¸ç, Global Industry Analysts´Â ÀÌ·¯ÇÑ »óȲÀ» ½Ç½Ã°£À¸·Î ÃßÀûÇϰí ÀÖ½À´Ï´Ù.

2025³â 4¿ù: Çù»ó ´Ü°è

À̹ø 4¿ù º¸°í¼­¿¡¼­´Â °ü¼¼°¡ ¼¼°è ½ÃÀå Àüü¿¡ ¹ÌÄ¡´Â ¿µÇâ°ú Áö¿ªº° ½ÃÀå Á¶Á¤¿¡ ´ëÇØ ¼Ò°³ÇÕ´Ï´Ù. ´ç»çÀÇ ¿¹ÃøÀº °ú°Å µ¥ÀÌÅÍ¿Í ÁøÈ­ÇÏ´Â ½ÃÀå ¿µÇâ¿äÀÎÀ» ±â¹ÝÀ¸·Î ÇÕ´Ï´Ù.

2025³â 7¿ù: ÃÖÁ¾ °ü¼¼ Àç¼³Á¤

°í°´´Ôµé²²´Â °¢ ±¹°¡º° ÃÖÁ¾ ¸®¼ÂÀÌ ¹ßÇ¥µÈ ÈÄ 7¿ù¿¡ ¹«·á ¾÷µ¥ÀÌÆ® ¹öÀüÀ» Á¦°øÇØ µå¸³´Ï´Ù. ÃÖÁ¾ ¾÷µ¥ÀÌÆ® ¹öÀü¿¡´Â ¸íÈ®ÇÏ°Ô Á¤ÀÇµÈ °ü¼¼ ¿µÇ⠺м®ÀÌ Æ÷ÇԵǾî ÀÖ½À´Ï´Ù.

»óÈ£ ¹× ¾çÀÚ °£ ¹«¿ª°ú °ü¼¼ÀÇ ¿µÇ⠺м® :

¹Ì±¹ <>Áß±¹ <>¸ß½ÃÄÚ <>ij³ª´Ù <>EU <>ÀϺ» <>Àεµ <>±âŸ 176°³±¹

¾÷°è ÃÖ°íÀÇ ÀÌÄÚ³ë¹Ì½ºÆ®: Global Industry AnalystsÀÇ Áö½Ä ±â¹ÝÀº ±¹°¡, ½ÌÅ©ÅÊÅ©, ¹«¿ª ¹× »ê¾÷ ´Üü, ´ë±â¾÷, ±×¸®°í ¼¼°è °è·® °æÁ¦ »óȲÀÇ Àü·Ê ¾ø´Â ÆÐ·¯´ÙÀÓ ÀüȯÀÇ ¿µÇâÀ» °øÀ¯ÇÏ´Â ºÐ¾ßº° Àü¹®°¡ µî °¡Àå ¿µÇâ·Â ÀÖ´Â ¼ö¼® ÀÌÄÚ³ë¹Ì½ºÆ® ±×·ìÀ» Æ÷ÇÔÇÑ 14,949¸íÀÇ ÀÌÄÚ³ë¹Ì½ºÆ®¸¦ ÃßÀûÇϰí ÀÖ½À´Ï´Ù. 16,491°³ ÀÌ»óÀÇ º¸°í¼­ ´ëºÎºÐ¿¡ ¸¶ÀϽºÅæ¿¡ ±â¹ÝÇÑ 2´Ü°è Ãâ½Ã ÀÏÁ¤À» Àû¿ëÇϰí ÀÖ½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý

Á¦2Àå °³¿ä

Á¦3Àå ½ÃÀå ºÐ¼®

Á¦4Àå °æÀï

KSA
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Global Automotive Digital Mapping Market to Reach US$17.6 Billion by 2030

The global market for Automotive Digital Mapping estimated at US$8.1 Billion in the year 2024, is expected to reach US$17.6 Billion by 2030, growing at a CAGR of 13.7% over the analysis period 2024-2030. 2D Maps, one of the segments analyzed in the report, is expected to record a 15.5% CAGR and reach US$12.0 Billion by the end of the analysis period. Growth in the 3D Maps segment is estimated at 10.0% CAGR over the analysis period.

The U.S. Market is Estimated at US$2.2 Billion While China is Forecast to Grow at 18.6% CAGR

The Automotive Digital Mapping market in the U.S. is estimated at US$2.2 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$3.8 Billion by the year 2030 trailing a CAGR of 18.6% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 9.9% and 12.4% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 10.9% CAGR.

Global Automotive Digital Mapping Market - Key Trends & Drivers Summarized

Why Is Automotive Digital Mapping Becoming Foundational to Connected, Autonomous, and Intelligent Mobility Systems?

Automotive digital mapping is evolving into a cornerstone technology underpinning next-generation vehicle platforms, including ADAS, autonomous driving, and connected mobility services. Unlike traditional GPS-based navigation, digital maps now integrate high-definition (HD) and real-time contextual data such as road geometry, lane-level detail, traffic signs, dynamic speed limits, and real-time traffic flow. These enriched map datasets enable vehicles to perceive and interpret their environments more accurately, powering predictive driving models and proactive route adjustments.

The growing reliance on digital maps extends beyond navigation to a wide array of applications: advanced driver assistance features, over-the-air (OTA) updates, fleet telematics, and location-based services. As vehicles become software-defined and sensor-equipped, map data provides a structured digital replica of the external driving environment-essential for both driver decision-making and automated control logic. In fully autonomous scenarios, high-precision digital maps serve as a redundant safety layer, complementing on-board sensors such as LiDAR, radar, and cameras to ensure safe and efficient driving in complex environments.

How Are Cloud Platforms, Sensor Fusion, and AI Enhancing Digital Mapping Capabilities?

Cloud-based mapping platforms are revolutionizing how digital maps are generated, updated, and deployed. Real-time data ingestion from connected vehicles, infrastructure sensors, and crowd-sourced inputs enables continuous updates to map attributes, keeping them current and contextually aware. These cloud systems aggregate and process vast geospatial datasets at scale-ensuring HD maps reflect not only road layouts but also temporary changes such as construction zones, road closures, or adverse weather impacts.

Sensor fusion is a critical enabler of highly accurate and dynamic mapping. Data from vehicle-mounted LiDAR, radar, GPS, and cameras are integrated to generate precise environmental models. Artificial intelligence and machine learning algorithms are increasingly applied to classify objects, detect anomalies, and recognize patterns, enabling the automatic annotation and refinement of digital maps. These smart maps support real-time vehicle localization, trajectory planning, and context-sensitive maneuvers-vital for both semi-autonomous and autonomous operations.

Which Vehicle Categories and Business Models Are Driving the Adoption of Automotive Digital Mapping?

Autonomous vehicles and robotaxis represent one of the most advanced use cases for digital mapping, requiring centimeter-level accuracy and continuous updates to operate safely in urban and mixed-use traffic environments. Passenger cars equipped with ADAS Level 2+ systems are also incorporating digital maps to enhance highway assist, adaptive cruise control, and lane-keeping functions. Electric vehicles (EVs) increasingly use mapping data to optimize energy usage, route planning, and charging station access, especially in range-sensitive travel scenarios.

Commercial fleet operators, logistics providers, and delivery platforms are leveraging digital mapping to streamline route optimization, monitor vehicle behavior, and reduce fuel consumption. Integration with telematics systems allows fleet managers to make data-informed decisions and improve operational efficiency. In addition, shared mobility services and ride-hailing platforms are embedding mapping APIs to improve driver allocation, customer experience, and safety compliance.

How Are Regional Infrastructure, Regulation, and Data Ecosystems Shaping Market Momentum?

Asia-Pacific is a key growth hub, led by China, Japan, and South Korea, where smart city infrastructure, 5G connectivity, and autonomous vehicle pilots are accelerating map-based innovations. Government-backed initiatives for intelligent transport systems (ITS), combined with strong domestic tech ecosystems, are fostering the development of high-quality digital mapping services tailored to dense urban conditions.

Europe is advancing rapidly due to stringent regulatory frameworks for road safety and digital vehicle compliance. Initiatives such as eCall, HD mapping consortia, and V2X (vehicle-to-everything) integration are driving OEM investment in detailed and standardized map platforms. North America remains a critical region due to the presence of leading mapping firms, autonomous startups, and expansive highway networks that favor early AV deployment. Emerging markets in the Middle East and Latin America are showing rising interest in digital mapping as part of broader mobility modernization and smart infrastructure projects.

What Role Do Open Map Platforms, Strategic Alliances, and Data Monetization Play in Market Expansion?

Open and collaborative mapping platforms are gaining traction, enabling OEMs, Tier 1 suppliers, and tech firms to contribute, access, and innovate on shared geospatial datasets. Initiatives such as the Mobility Open Blockchain Initiative (MOBI), HERE’s Open Location Platform, and HD Map standardization coalitions are redefining data ownership, interoperability, and security in digital mapping ecosystems.

Strategic alliances between automakers, mapping firms, and cloud providers are enabling scalable solutions and faster go-to-market timelines. Co-development of map layers with application-specific intelligence-such as AV localization, weather routing, and traffic analytics-is accelerating innovation. Licensing models and data monetization opportunities are also emerging, where OEMs and platform providers capitalize on vehicle-generated geodata for commercial, insurance, and infrastructure planning applications.

What Are the Factors Driving Growth in the Automotive Digital Mapping Market?

The automotive digital mapping market is witnessing sustained momentum as precision, intelligence, and automation become central to mobility evolution. From enhancing driver safety to enabling full autonomy, digital maps are now indispensable assets across all tiers of the automotive value chain.

Key drivers include growing ADAS penetration, the scaling of autonomous vehicle initiatives, rising demand for location intelligence in EV routing, and proliferation of connected car ecosystems. Cloud integration, AI-based map enrichment, and cross-industry collaborations are further reinforcing the role of digital mapping as a strategic enabler of future mobility.

Looking ahead, the future of mobility may depend not only on the vehicle’s ability to perceive but also on the map’s ability to predict-will automotive digital maps become the nervous system that powers predictive, context-aware transportation networks?

SCOPE OF STUDY:

The report analyzes the Automotive Digital Mapping market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Mapping (2D Maps, 3D Maps, Satellite Imagery); Application (Navigation Systems, Telematics, Advanced Driver Assistance Systems, Other Applications); End-Use (Passenger Cars, Commercial Vehicles)

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.

Select Competitors (Total 42 Featured) -

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

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