¼¼°èÀÇ µ¥ÀÌÅÍ ¶óº§¸µ ¼Ö·ç¼Ç ¹× ¼­ºñ½º ½ÃÀå
Data Labeling Solutions and Services
»óǰÄÚµå : 1786370
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2025³â 08¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 202 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 5,850 £Ü 8,150,000
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 24,452,000
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 µ¥ÀÌÅÍ ¶óº§¸µ ¼Ö·ç¼Ç ¹× ¼­ºñ½º ½ÃÀåÀº 2030³â±îÁö 637¾ï ´Þ·¯¿¡ ´ÞÇÒ Àü¸Á

2024³â¿¡ 201¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ¼¼°èÀÇ µ¥ÀÌÅÍ ¶óº§¸µ ¼Ö·ç¼Ç ¹× ¼­ºñ½º ½ÃÀåÀº 2024-2030³â¿¡ 21.2%ÀÇ CAGR·Î ¼ºÀåÇϸç, 2030³â¿¡´Â 637¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ ¸®Æ÷Æ®¿¡¼­ ºÐ¼®ÇÑ ºÎ¹®ÀÇ ÇϳªÀÎ ÀÎÇϿ콺 µ¥ÀÌÅÍ ¶óº§¸µÀº CAGR 24.8%¸¦ ±â·ÏÇϸç, ºÐ¼® ±â°£ Á¾·á±îÁö 403¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ¾Æ¿ô¼Ò½Ì µ¥ÀÌÅÍ ¶óº§¸µ ºÎ¹®ÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£ Áß CAGR 16.3%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 53¾ï ´Þ·¯·Î ÃßÁ¤, Áß±¹Àº CAGR 19.8%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ µ¥ÀÌÅÍ ¶óº§¸µ ¼Ö·ç¼Ç ¹× ¼­ºñ½º ½ÃÀåÀº 2024³â¿¡ 53¾ï ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ÀÇ °æÁ¦´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 97¾ï ´Þ·¯ÀÇ ½ÃÀå ±Ô¸ð¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³âÀÇ CAGRÀº 19.8%ÀÔ´Ï´Ù. ±âŸ ÁÖ¸ñÇÒ ¸¸ÇÑ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖÀ¸¸ç, ºÐ¼® ±â°£ Áß CAGRÀº °¢°¢ 20.0%¿Í 18.0%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR ¾à 15.1%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°èÀÇ µ¥ÀÌÅÍ ¶óº§¸µ ¼Ö·ç¼Ç ¹× ¼­ºñ½º ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ Á¤¸®

AI¿Í ¸Ó½Å·¯´×ÀÇ ¹ßÀü¿¡ µ¥ÀÌÅÍ ¶óº§¸µÀÌ Áß¿äÇÑ ÀÌÀ¯´Â ¹«¾ùÀΰ¡?

µ¥ÀÌÅÍ ¶óº§¸µ ¼Ö·ç¼Ç ¹× ¼­ºñ½º´Â ÀΰøÁö´É(AI) ¹× ¸Ó½Å·¯´×(ML) ¸ðµ¨ ÇнÀ¿¡ ÇʼöÀûÀ̸ç, ÀÚµ¿È­µÈ ÀÇ»ç°áÁ¤¿¡ ÀÖÀ¸¸ç, ³ôÀº Á¤È®µµ¿Í Á¤¹Ðµµ¸¦ º¸ÀåÇÕ´Ï´Ù. ÀÌ ¼­ºñ½ºµéÀº À̹ÌÁö, ÅØ½ºÆ®, À½¼º, µ¿¿µ»ó µîÀÇ ¿ø½Ã µ¥ÀÌÅÍ¿¡ ÁÖ¼®À» ´Þ¾Æ AI ¾Ë°í¸®ÁòÀÌ ÆÐÅÏ ÀνÄ, »ç¹° ºÐ·ù, ¿¹ÃøÀ» ÇнÀÇÒ ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù. ÀÚÀ²ÁÖÇàÂ÷, ÇコÄɾî, ±ÝÀ¶, E-Commerce µîÀÇ »ê¾÷Àº AI ±â¹Ý ¿ëµµ¸¦ °­È­Çϱâ À§ÇØ ¶óº§¸µµÈ µ¥ÀÌÅͼ¼Æ®¿¡ Å©°Ô ÀÇÁ¸Çϰí ÀÖ½À´Ï´Ù.

AIÀÇ ´ëÁßÈ­°¡ ÁøÇàµÊ¿¡ µû¶ó °íǰÁú ¶óº§ÀÌ ºÎÂøµÈ µ¥ÀÌÅÍ¿¡ ´ëÇÑ ¼ö¿ä°¡ Å©°Ô Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ±âÁ¸ÀÇ ¼öÀÛ¾÷ ¶óº§¸µ ¹æ¹ýÀº AI Áö¿ø ¾î³ëÅ×ÀÌ¼Ç Åø·Î È®ÀåµÇ¾î È¿À²¼ºÀ» °³¼±Çϰí Àΰ£ÀÇ ½Ç¼ö¸¦ ÁÙÀÔ´Ï´Ù. ¶ÇÇÑ µö·¯´×°ú ½Å°æ¸Á ¸ðµ¨ÀÇ È®ÀåÀ¸·Î ½Ã¸Çƽ ¼¼ºÐÈ­, ¿£Æ¼Æ¼ ÀνÄ, 3D °´Ã¼ °¨Áö µî Àü¹®ÀûÀÎ ¾î³ëÅ×ÀÌ¼Ç ±â¼úÀÇ Çʿ伺ÀÌ ³ô¾ÆÁö°í ÀÖ½À´Ï´Ù.

µ¥ÀÌÅÍ ¶óº§¸µ ±â¼úÀÇ ÃֽŠÇõ½ÅÀ̶õ?

µ¥ÀÌÅÍ ¶óº§¸µÀÇ °¡Àå Áß¿äÇÑ ¹ßÀü Áß Çϳª´Â AI¸¦ Ȱ¿ëÇÑ ÀÚµ¿È­ÀÇ ÅëÇÕÀ¸·Î, ³ôÀº Á¤È®µµ¸¦ À¯ÁöÇϸ鼭 ¾î³ëÅ×ÀÌ¼Ç ÇÁ·Î¼¼½ºÀÇ ¼Óµµ¸¦ ³ôÀÌ´Â °ÍÀÔ´Ï´Ù. ¹ÝÁöµµ ÇнÀ ±â¼ú ¹× ¾àÇÑ °¨½Ã ¸ðµ¨Àº ¿ÏÀüÈ÷ ¶óº§ÀÌ ºÙÀº µ¥ÀÌÅͼ¼Æ®¿¡ ´ëÇÑ ÀÇÁ¸µµ¸¦ ÁÙÀ̰í AI ½Ã½ºÅÛÀÌ ºÎºÐÀûÀ¸·Î ÁÖ¼®ÀÌ ´Þ¸° µ¥ÀÌÅÍ¿¡¼­ ÇнÀÇÒ ¼ö ÀÖµµ·Ï ÇÏ´Â µ¥ »ç¿ëµË´Ï´Ù.

Å©¶ó¿ìµå ¼Ò½ÌÀ» ÅëÇÑ ¶óº§¸µ Ç÷§Æûµµ Àα⸦ ²ø°í ÀÖÀ¸¸ç, ±â¾÷Àº AI ±â¹Ý °ËÁõ ÅøÀ» ÅëÇØ ǰÁú°ü¸®¸¦ º¸ÀåÇϸ鼭 ¶óº§¸µ ÀÛ¾÷À» Àü ¼¼°è Àη¿¡ ºÐ»ê½Ãų ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ ´Éµ¿Çü ÇнÀ ¸ðµ¨Àº °¡Àå Á¤º¸·®ÀÌ ¸¹Àº µ¥ÀÌÅÍ »ùÇÃÀÇ ¿ì¼±¼øÀ§¸¦ Á¤ÇÏ¿© »ç¶÷ÀÌ °ËÅäÇÒ ¼ö ÀÖµµ·Ï ÇÔÀ¸·Î½á ÁÖ¼®ÀÇ È¿À²À» ³ôÀÔ´Ï´Ù. ÇコÄɾî AI ¿ëµµ¸¦ À§ÇÑ ÀÇ·á À̹ÌÁö ¶óº§¸µ°ú °°Àº µµ¸ÞÀΠƯȭ ¾î³ëÅ×ÀÌ¼Ç ÅøÀÇ °³¹ßÀº µ¥ÀÌÅÍ ¶óº§¸µ ¼­ºñ½ºÀÇ ¿ª·®À» ´õ¿í È®ÀåÇϰí ÀÖ½À´Ï´Ù.

½ÃÀå µ¿Çâ°ú ±ÔÁ¦ Á¤Ã¥Àº µ¥ÀÌÅÍ ¶óº§¸µ¿¡ ¾î¶² ¿µÇâÀ» ¹ÌÄ¡°í Àִ°¡?

AI À±¸®¿Í µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã ±ÔÁ¦¿¡ ´ëÇÑ °ü½ÉÀÌ ³ô¾ÆÁö¸é¼­ µ¥ÀÌÅÍ ¶óº§¸µ »ê¾÷¿¡µµ Å« ¿µÇâÀ» ¹ÌÄ¡°í ÀÖ½À´Ï´Ù. GDPR(EU °³ÀÎÁ¤º¸º¸È£±ÔÁ¤), CCPA, HIPAA µîÀÇ ÇÁ·¹ÀÓ¿öÅ©¸¦ ÁؼöÇϱâ À§ÇØ ±â¾÷Àº »ç¿ëÀÚ Á¤º¸¸¦ º¸È£Çϰí AI ¸ðµ¨ÀÇ ÆíÇ⼺À» ¹æÁöÇÏ´Â ¾ÈÀüÇÑ µ¥ÀÌÅÍ ¶óº§¸µ ÇÁ·Î¼¼½º¸¦ ±¸ÇöÇØ¾ß ÇÕ´Ï´Ù.

½ÃÀå µ¿Çâ¿¡ µû¸£¸é ƯÈ÷ ÇコÄɾî, ±ÝÀ¶, ¹ý·ü ºÐ¾ßÀÇ AI ¿ëµµ¿¡¼­ »ê¾÷º° ¾î³ëÅ×ÀÌ¼Ç ¼­ºñ½º¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ´Â °ÍÀ¸·Î ³ªÅ¸³µ½À´Ï´Ù. ¶ÇÇÑ ¿§Áö AI¿Í ¿¬°è ÇнÀÀ¸·ÎÀÇ ÀüȯÀº µ¥ÀÌÅÍ ¶óº§¸µ Àü·«¿¡ ¿µÇâÀ» ¹ÌÄ¡°í ÀÖÀ¸¸ç, Áß¾Ó ÁýÁß½Ä Å¬¶ó¿ìµå ȯ°æÀÌ ¾Æ´Ñ ·ÎÄÿ¡¼­ ¶óº§¸µµÈ µ¥ÀÌÅͼ¼Æ®¸¦ ó¸®ÇØ¾ß ÇÕ´Ï´Ù. ÇÕ¼º µ¥ÀÌÅÍ »ý¼º ±â¼úÀÇ »ç¿ë Áõ°¡µµ ½ÃÀåÀ» Çü¼ºÇϰí ÀÖÀ¸¸ç, ¸ðµ¨ÀÇ °ß°í¼ºÀ» È®º¸Çϸ鼭 ¼öÀÛ¾÷¿¡ ÀÇÇÑ ´ë±Ô¸ð ¶óº§¸µÀÇ Çʿ伺À» °¨¼Ò½Ã۰í ÀÖ½À´Ï´Ù.

µ¥ÀÌÅÍ ¶óº§¸µ ¼Ö·ç¼Ç ¹× ¼­ºñ½º ½ÃÀåÀÇ ¼ºÀå ¿øµ¿·ÂÀº?

µ¥ÀÌÅÍ ¶óº§¸µ ¼Ö·ç¼Ç ¹× ¼­ºñ½º ½ÃÀåÀÇ ¼ºÀåÀ» ÁÖµµÇÏ´Â °ÍÀº AI ¿ëµµÀÇ ±Þ¼ÓÇÑ È®Àå, ¸Ó½Å·¯´× ¸ðµ¨ÀÇ º¹À⼺ Áõ°¡, ÀÚµ¿ ÁÖ¼® ±â¼úÀÇ ¹ßÀüÀÔ´Ï´Ù. ÀÚÀ² ½Ã½ºÅÛ, ´ëÈ­ AI, Ãßõ ¿£ÁøÀÇ ¶óº§¸µµÈ µ¥ÀÌÅÍ¿¡ ´ëÇÑ ¼ö¿ä°¡ ½ÃÀå È®´ë¸¦ °­È­Çϰí ÀÖ½À´Ï´Ù.

µ¥ÀÌÅÍ ¶óº§¸µ ¼­ºñ½º´Â ·Îº¿ °øÇÐ, »çÀ̹ö º¸¾È, µðÁöÅÐ »ç±â °¨Áö µî ´Ù¾çÇÑ ºÐ¾ß¿¡¼­ ³Î¸® Ȱ¿ëµÇ°í ÀÖ½À´Ï´Ù. AI ±â¹Ý ¾î³ëÅ×ÀÌ¼Ç Ç÷§Æû°ú Ŭ¶ó¿ìµå ±â¹Ý ¸Ó½Å·¯´× ÇÁ·¹ÀÓ¿öÅ©ÀÇ ÅëÇÕÀ¸·Î AI µµÀÔÀÌ ´õ¿í °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ AI °³¹ßÀÚ¿Í µ¥ÀÌÅÍ ¶óº§¸µ ±â¾÷ÀÇ Àü·«Àû ÆÄÆ®³Ê½ÊÀº Çõ½ÅÀ» ÃËÁøÇÏ°í ¹Ì·¡ÀÇ AI ¸ðµ¨ÀÌ °íǰÁúÀÇ Æí°ß ¾ø´Â µ¥ÀÌÅͼ¼Æ®·Î ÈÆ·ÃµÉ ¼ö ÀÖµµ·Ï º¸ÀåÇÕ´Ï´Ù.

ºÎ¹®

¼Ò½Ì À¯Çü(ÀÎÇϿ콺 µ¥ÀÌÅÍ ¶óº§¸µ, ¾Æ¿ô¼Ò½Ì µ¥ÀÌÅÍ ¶óº§¸µ), À¯Çü(À̹ÌÁö/ºñµð¿À µ¥ÀÌÅÍ ¶óº§¸µ, ÅØ½ºÆ® µ¥ÀÌÅÍ ¶óº§¸µ, ¿Àµð¿À µ¥ÀÌÅÍ ¶óº§¸µ), ¶óº§¸µ À¯Çü(¼öµ¿ ¶óº§¸µ, ÁØÁöµµ ¶óº§¸µ, ÀÚµ¿ ¶óº§¸µ), ÃÖÁ¾»ç¿ëÀÚ(IT ÃÖÁ¾»ç¿ëÀÚ, ÀÚµ¿Â÷ ÃÖÁ¾»ç¿ëÀÚ, Á¤ºÎ ÃÖÁ¾»ç¿ëÀÚ, ÇコÄɾî ÃÖÁ¾»ç¿ëÀÚ, ±ÝÀ¶ ¼­ºñ½º ÃÖÁ¾»ç¿ëÀÚ, ¼Ò¸Å ÃÖÁ¾»ç¿ëÀÚ, ±âŸ ÃÖÁ¾»ç¿ëÀÚ)

Á¶»ç ´ë»ó ±â¾÷ÀÇ ¿¹

AI ÅëÇÕ

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

Global Industry Analysts´Â ÀϹÝÀûÀÎ LLM³ª ¾÷°èº° SLM Äõ¸®¿¡ µû¸£´Â ´ë½Å¿¡, ºñµð¿À ±â·Ï, ºí·Î±×, °Ë»ö ¿£Áø Á¶»ç, ´ë·® ±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 ¼öÀÔ¿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 °³¿ä

Á¦3Àå ½ÃÀå ºÐ¼®

Á¦4Àå °æÀï

KSA
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Global Data Labeling Solutions and Services Market to Reach US$63.7 Billion by 2030

The global market for Data Labeling Solutions and Services estimated at US$20.1 Billion in the year 2024, is expected to reach US$63.7 Billion by 2030, growing at a CAGR of 21.2% over the analysis period 2024-2030. In-House Data Labeling, one of the segments analyzed in the report, is expected to record a 24.8% CAGR and reach US$40.3 Billion by the end of the analysis period. Growth in the Outsourced Data Labeling segment is estimated at 16.3% CAGR over the analysis period.

The U.S. Market is Estimated at US$5.3 Billion While China is Forecast to Grow at 19.8% CAGR

The Data Labeling Solutions and Services market in the U.S. is estimated at US$5.3 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$9.7 Billion by the year 2030 trailing a CAGR of 19.8% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 20.0% and 18.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 15.1% CAGR.

Global Data Labeling Solutions and Services Market - Key Trends & Growth Drivers Summarized

Why Is Data Labeling Critical for AI and Machine Learning Advancement?

Data labeling solutions and services are essential for training artificial intelligence (AI) and machine learning (ML) models, ensuring high accuracy and precision in automated decision-making. These services involve annotating raw data-such as images, text, speech, and videos-so that AI algorithms can learn to recognize patterns, classify objects, and make predictions. Industries such as autonomous vehicles, healthcare, finance, and e-commerce rely heavily on labeled datasets to power AI-driven applications.

As AI adoption continues to rise, the demand for high-quality labeled data has increased significantly. Traditional manual labeling methods are being augmented by AI-assisted annotation tools, improving efficiency and reducing human error. Additionally, the expansion of deep learning and neural network models has intensified the need for specialized annotation techniques, such as semantic segmentation, entity recognition, and 3D object detection.

What Are the Latest Innovations in Data Labeling Technologies?

One of the most significant advancements in data labeling is the integration of AI-powered automation, which speeds up the annotation process while maintaining high accuracy. Semi-supervised learning techniques and weak supervision models are being used to reduce the dependency on fully labeled datasets, enabling AI systems to learn from partially annotated data.

Crowdsourced labeling platforms have also gained popularity, allowing companies to distribute labeling tasks across a global workforce while ensuring quality control through AI-driven validation tools. Additionally, active learning models are improving annotation efficiency by prioritizing the most informative data samples for human review. The development of domain-specific annotation tools, such as medical image labeling for healthcare AI applications, is further expanding the capabilities of data labeling services.

How Are Market Trends and Regulatory Policies Influencing Data Labeling?

The growing emphasis on AI ethics and data privacy regulations has significantly impacted the data labeling industry. Compliance with frameworks such as GDPR, CCPA, and HIPAA requires companies to implement secure data labeling processes that protect user information and prevent bias in AI models.

Market trends indicate a rise in demand for industry-specific annotation services, particularly in healthcare, finance, and legal AI applications. Additionally, the shift toward edge AI and federated learning has influenced data labeling strategies, requiring labeled datasets to be processed locally rather than in centralized cloud environments. The increasing use of synthetic data generation techniques is also shaping the market, reducing the need for extensive manual labeling while ensuring model robustness.

What Is Driving the Growth of the Data Labeling Solutions and Services Market?

The growth in the data labeling solutions and services market is driven by the rapid expansion of AI applications, the increasing complexity of machine learning models, and advancements in automated annotation technologies. The demand for labeled data in autonomous systems, conversational AI, and recommendation engines has intensified market expansion.

End-use expansion is another critical factor, with data labeling services being widely adopted in robotics, cybersecurity, and digital fraud detection. The integration of AI-driven annotation platforms with cloud-based machine learning frameworks is further accelerating adoption. Additionally, strategic partnerships between AI developers and data labeling firms are fostering innovation, ensuring that future AI models are trained on high-quality, bias-free datasets.

SCOPE OF STUDY:

The report analyzes the Data Labeling Solutions and Services market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Sourcing Type (In-House Data Labeling, Outsourced Data Labeling); Type (Image/Video Data Labeling, Text Data Labeling, Audio Data Labeling); Labeling Type (Manual Labeling, Semi-Supervised Labeling, Automatic Labeling); End-Use (IT End-Use, Automotive End-Use, Government End-Use, Healthcare End-Use, Financial Services End-Use, Retail End-Use, Other End-Uses)

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 32 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