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¼¼°èÀÇ SLAM(Simultaneous Localization and Mapping) ½ÃÀå : À¯Çüº°, ±â¹ýº°, ÃÖÁ¾ »ç¿ëÀÚº° - ¿¹Ãø(2025-2030³â)

Simultaneous Localization & Mapping Market by Type (Deep Learning Based SLAM, Filter Based SLAM, Graph Based SLAM), Method (LiDAR SLAM, Visual SLAM), End-User - Global Forecast 2025-2030

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SLAM(Simultaneous Localization and Mapping) ½ÃÀåÀº 2023³â¿¡ 1¾ï 3,373¸¸ ´Þ·¯·Î Æò°¡µÇ¾ú°í, 2024³â¿¡´Â 1¾ï 7,858¸¸ ´Þ·¯·Î ÃßÁ¤µÇ¸ç, CAGR 34.11%·Î ¼ºÀåÇÒ Àü¸ÁÀ̰í, 2030³â¿¡´Â 10¾ï 4,370¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

SLAMÀº À̵¿ ·Îº¿À̳ª ÀÚÀ²ÁÖÇàÂ÷·Î ´ëÇ¥µÇ´Â µð¹ÙÀ̽º°¡ ¹ÌÁöÀÇ È¯°æÀ» ¸ÅÇÎÇÏ´Â µ¿½Ã¿¡ ±× °ø°£ ³»ÀÇ À§Ä¡¸¦ ÃßÀûÇÒ ¼ö ÀÖµµ·Ï ÇÏ´Â ¸Å¿ì Áß¿äÇÑ ±â¼úÀÔ´Ï´Ù. ÀÌ ÀÌÁß ±â´ÉÀº ·Îº¿ ¿£Áö´Ï¾î¸µ, ÀÚÀ²ÁÖÇàÂ÷, Áõ°­Çö½Ç(AR), °¡»óÇö½Ç(VR) µî ¼ö¸¹Àº ºÐ¾ß¿¡¼­ ÇʼöÀûÀÔ´Ï´Ù. SLAM ½ÃÀåÀÇ ÁÖ¿ä ¼ºÀå ÃËÁø ¿äÀÎÀ¸·Î´Â Á¦Á¶ ÇÁ·Î¼¼½º¿¡¼­ÀÇ ÀÚµ¿È­ ¼ö¿ä Áõ°¡, ÀÚÀ²ÁÖÇàÂ÷ÀÇ ±Þ¼ÓÇÑ º¸±Þ, °ÔÀÓ ¹× ¼Ò¸Å¾÷¿¡ AR µð¹ÙÀ̽ºÀÇ ÀÌ¿ë ±ÞÁõ, ¼¾¼­ ±â¼úÀÇ Áö¼ÓÀûÀÎ Áøº¸ µîÀ» µé ¼ö ÀÖ½À´Ï´Ù. ÀÌ ½ÃÀå¿¡´Â SLAM¿¡ ÀÇÇØ ÀÛ¾÷ È¿À²ÀÌ ´ëÆø Çâ»óµÇ´Â »ê¾÷¿ë ·Îº¿À̳ª °íµµÀÇ ·Îº¿ ¼ö¼úÀ̳ª ȯÀÚ ÄÉ¾î ¼­ºñ½º¸¦ ÃËÁøÇÒ ¼ö ÀÖ´Â ÇコÄÉ¾î µîÀÇ ºÐ¾ß¿¡ ºñÁî´Ï½º ±âȸ°¡ ÀÖ½À´Ï´Ù. ¶ÇÇÑ 5G ±â¼úÀÇ °³¹ßÀº SLAMÀÇ Á¤È®¼º°ú ½Ç½Ã°£ ±â´ÉÀ» °­È­ÇÏ´Â Ã˸Ű¡ µÉ ±âȸ¸¦ Á¦°øÇÕ´Ï´Ù. ±×·¯³ª ³ôÀº µµÀÔ ºñ¿ë, SLAM ¾Ë°í¸®ÁòÀÇ º¹À⼺, ±âÁ¸ ½Ã½ºÅÛ ÆÀ°úÀÇ ÅëÇÕ ¹®Á¦¿Í °°Àº °úÁ¦°¡ Å« À庮ÀÌ µÇ°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ ½Ç½Ã°£ ¼¾¼­ µ¥ÀÌÅÍ Ã³¸®¿Í º¹ÀâÇÑ ÁöÇü¿¡¼­ÀÇ È¯°æÀÇ ¿¹Ãø ºÒ°¡´É¼ºÀº ¼ºÀåÀ» ¹æÇØÇÏ´Â ±â¼úÀûÀÎ Àå¾Ö¹°ÀÌ µÇ°í ÀÖ½À´Ï´Ù. Çõ½ÅÀº SLAMÀÇ °ß°í¼ºÀ» ³ôÀÌ°í ºñ¿ëÀ» Àý°¨ÇÏ¸ç ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸®¸¦ °³¼±ÇÔÀ¸·Î½á ÇüŸ¦ ¸¸µé ¼ö ÀÖ½À´Ï´Ù. ÀÌ ºÐ¾ßÀÇ ¿¬±¸´Â ¿ªµ¿ÀûÀΠȯ°æ¿¡ ÀûÀÀÇÏ°í ½Ã°¢, LIDAR, ·¹ÀÌ´õ¸¦ Æ÷ÇÔÇÑ ´Ù¾çÇÑ ¼¾¼­ µ¥ÀÌÅ͸¦ º¸´Ù ³ôÀº È¿À²·Î ó¸®ÇÒ ¼ö ÀÖ´Â AI ÁÖµµÀÇ SLAM ¾Ë°í¸®Áò¿¡ ÃÊÁ¡À» ¸ÂÃâ ¼ö ÀÖ½À´Ï´Ù. SLAM ½ÃÀåÀº ±Þ¼ÓÇÑ ±â¼ú Áøº¸¿Í Ä¡¿­ÇÑ °æÇÕÀ» Ư¡À¸·Î ÇÏ¸ç ¿©ÀüÈ÷ ¸Å¿ì ¿ªµ¿ÀûÀÔ´Ï´Ù. ±â¾÷Àº °æÀï·ÂÀ» À¯ÁöÇϱâ À§ÇØ Àü·«Àû ÆÄÆ®³Ê½Ê Çü¼º°ú ¿¬±¸°³¹ß ÅõÀÚ¿¡ ÁÖ·ÂÇØ¾ß ÇÕ´Ï´Ù. ÀáÀçÀûÀÎ Âü°¡ ±â¾÷Àº ÀÌ À¯¸ÁÇÑ ºÐ¾ß¿¡¼­ Æ´»õ¸¦ ¶Õ±â À§ÇØ È®À强, »óÈ£ ¿î¿ë¼º, ºñ¿ë ´ëºñ È¿°ú¸¦ Á¦°øÇÏ´Â ¼Ö·ç¼Ç °³¹ß¿¡ ÁÖ·ÂÇØ¾ß ÇÕ´Ï´Ù.

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±âÁسâ(2023³â) 1¾ï 3,373¸¸ ´Þ·¯
¿¹Ãø³â(2024³â) 1¾ï 7,858¸¸ ´Þ·¯
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CAGR(%) 34.11%

½ÃÀå ¿ªÇÐ : ºü¸£°Ô ÁøÈ­ÇÏ´Â SLAM(Simultaneous Localization and Mapping) ½ÃÀåÀÇ ÁÖ¿ä ½ÃÀå ÀλçÀÌÆ® °ø°³

SLAM(Simultaneous Localization and Mapping) ½ÃÀåÀº ¼ö¿ä ¹× °ø±ÞÀÇ ¿ªµ¿ÀûÀÎ »óÈ£ ÀÛ¿ë¿¡ ÀÇÇØ º¯¸ð¸¦ ÀÌ·ç°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ½ÃÀå ¿ªÇÐÀÇ ÁøÈ­¸¦ ÀÌÇØÇÔÀ¸·Î½á ±â¾÷Àº ÃæºÐÇÑ Á¤º¸¸¦ ¹ÙÅÁÀ¸·Î ÅõÀÚ°áÁ¤, Àü·«Àû °áÁ¤ Á¤¹ÐÈ­, »õ·Î¿î ºñÁî´Ï½º ±âȸ ȹµæ¿¡ ´ëºñÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ µ¿ÇâÀ» Á¾ÇÕÀûÀ¸·Î ÆÄ¾ÇÇÔÀ¸·Î½á ±â¾÷Àº Á¤Ä¡Àû, Áö¸®Àû, ±â¼úÀû, »çȸÀû, °æÁ¦Àû ¿µ¿ª¿¡ °ÉÄ£ ´Ù¾çÇÑ À§ÇèÀ» ¿ÏÈ­ÇÒ ¼ö ÀÖÀ¸¸ç, ¼ÒºñÀÚ Çൿ°ú ±×°ÍÀÌ Á¦Á¶ ºñ¿ë°ú ±¸¸Å µ¿Çâ¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» º¸´Ù ¸íÈ®ÇÏ°Ô ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù.

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    • »õ·Ó°Ô °³¹ßµÈ SLAM ±â¼úÀ» µµÀÔÇÏ´Â ¿òÁ÷ÀÓÀÌ È°¼ºÈ­
    • AI¿Í ARÀÇ ½Å±â¼úÀÇ ´ëµÎ
  • ½ÃÀåÀÇ °úÁ¦
    • µ¿Àû ȯ°æ¿¡¼­ SLAM°ú °ü·ÃµÈ ¹®Á¦

Porter's Five Forces : SLAM(Simultaneous Localization and Mapping) ½ÃÀåÀ» Ž»öÇÏ´Â Àü·« µµ±¸

Porter's Five Forces ÇÁ·¹ÀÓ ¿öÅ©´Â ½ÃÀå »óȲ°æÀï ±¸µµ¸¦ ÀÌÇØÇÏ´Â Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. Porter's Five Forces ÇÁ·¹ÀÓ ¿öÅ©´Â ±â¾÷ÀÇ °æÀï·ÂÀ» Æò°¡Çϰí Àü·«Àû ±âȸ¸¦ ޱ¸ÇÏ´Â ¸íÈ®ÇÑ ±â¼úÀ» Á¦°øÇÕ´Ï´Ù. ÀÌ ÇÁ·¹ÀÓ ¿öÅ©´Â ±â¾÷ÀÌ ½ÃÀå ³» ¼¼·Âµµ¸¦ Æò°¡ÇÏ°í ½Å±Ô »ç¾÷ÀÇ ¼öÀͼºÀ» °áÁ¤ÇÏ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù. ÀÌ·¯ÇÑ ÀλçÀÌÆ®¸¦ ÅëÇØ ±â¾÷Àº ÀÚ»çÀÇ °­Á¡À» Ȱ¿ëÇÏ°í ¾àÁ¡À» ÇØ°áÇϰí ÀáÀçÀûÀÎ °úÁ¦¸¦ ÇÇÇÔÀ¸·Î½á º¸´Ù °­ÀÎÇÑ ½ÃÀå¿¡¼­ÀÇ Æ÷Áö¼Å´×À» È®º¸ÇÒ ¼ö ÀÖ½À´Ï´Ù.

PESTLE ºÐ¼® : SLAM(Simultaneous Localization and Mapping) ½ÃÀå¿¡¼­ ¿ÜºÎ ¿µÇâ ÆÄ¾Ç

¿ÜºÎ °Å½Ã ȯ°æ ¿äÀÎÀº SLAM(Simultaneous Localization and Mapping) ½ÃÀåÀÇ ¼º°ú ¿ªÇÐÀ» Çü¼ºÇÏ´Â µ¥ ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù. Á¤Ä¡Àû, °æÁ¦Àû, »çȸÀû, ±â¼úÀû, ¹ýÀû, ȯ°æÀû ¿äÀÎ ºÐ¼®Àº ÀÌ·¯ÇÑ ¿µÇâÀ» Ž»öÇÏ´Â µ¥ ÇÊ¿äÇÑ Á¤º¸¸¦ Á¦°øÇÕ´Ï´Ù. PESTLE ¿äÀÎÀ» Á¶»çÇÔÀ¸·Î½á ±â¾÷Àº ÀáÀçÀûÀÎ À§Çè°ú ±âȸ¸¦ ´õ Àß ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ ºÐ¼®À» ÅëÇØ ±â¾÷Àº ±ÔÁ¦, ¼ÒºñÀÚ ¼±È£, °æÁ¦ µ¿ÇâÀÇ º¯È­¸¦ ¿¹ÃøÇÏ°í ¾ÕÀ¸·Î ¿¹»óµÇ´Â Àû±ØÀûÀÎ ÀÇ»ç °áÁ¤À» ÇÒ Áغñ¸¦ ÇÒ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå Á¡À¯À² ºÐ¼® : SLAM(Simultaneous Localization and Mapping) ½ÃÀå¿¡¼­ °æÀï ±¸µµ ÆÄ¾Ç

SLAM(Simultaneous Localization and Mapping) ½ÃÀåÀÇ »ó¼¼ÇÑ ½ÃÀå Á¡À¯À² ºÐ¼®À» ÅëÇØ °ø±Þ¾÷üÀÇ ¼º°ú¸¦ Á¾ÇÕÀûÀ¸·Î Æò°¡ÇÒ ¼ö ÀÖ½À´Ï´Ù. ±â¾÷Àº ¼öÀÍ, °í°´ ±â¹Ý, ¼ºÀå·ü µî ÁÖ¿ä ÁöÇ¥¸¦ ºñ±³ÇÏ¿© °æÀï Æ÷Áö¼Å´×À» ¹àÈú ¼ö ÀÖ½À´Ï´Ù. ÀÌ ºÐ¼®À» ÅëÇØ ½ÃÀå ÁýÁß, ´ÜÆíÈ­, ÅëÇÕ µ¿ÇâÀ» ¹àÇô³»°í º¥´õµéÀº °æÀïÀÌ Ä¡¿­ÇØÁö´Â °¡¿îµ¥ ÀÚ»çÀÇ ÁöÀ§¸¦ ³ôÀÌ´Â Àü·«Àû ÀÇ»ç °áÁ¤À» ³»¸®´Â µ¥ ÇÊ¿äÇÑ Áö½ÄÀ» ¾òÀ» ¼ö ÀÖ½À´Ï´Ù.

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º : SLAM(Simultaneous Localization and Mapping) ½ÃÀå¿¡¼­ °ø±Þ¾÷üÀÇ ¼º´É Æò°¡

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º´Â SLAM(Simultaneous Localization and Mapping) ½ÃÀå¿¡¼­ °ø±Þ¾÷ü¸¦ Æò°¡Çϱâ À§ÇÑ Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. ÀÌ ¸ÅÆ®¸¯½º¸¦ ÅëÇØ ºñÁî´Ï½º Á¶Á÷Àº °ø±Þ¾÷üÀÇ ºñÁî´Ï½º Àü·«°ú Á¦Ç° ¸¸Á·µµ¸¦ ±âÁØÀ¸·Î Æò°¡ÇÏ¿© ¸ñÇ¥¿¡ ¸Â´Â ÃæºÐÇÑ Á¤º¸¸¦ ¹ÙÅÁÀ¸·Î ÀÇ»ç °áÁ¤À» ³»¸± ¼ö ÀÖ½À´Ï´Ù. ³× °¡Áö »çºÐ¸éÀ» ÅëÇØ °ø±Þ¾÷ü¸¦ ¸íÈ®Çϰí Á¤È®ÇÏ°Ô ¼¼ºÐÈ­ÇÏ¿© Àü·« ¸ñÇ¥¿¡ °¡Àå ÀûÇÕÇÑ ÆÄÆ®³Ê ¹× ¼Ö·ç¼ÇÀ» ÆÄ¾ÇÇÒ ¼ö ÀÖ½À´Ï´Ù.

Àü·« ºÐ¼® ¹× Ãßõ : SLAM(Simultaneous Localization and Mapping) ½ÃÀå¿¡¼­ ¼º°ø¿¡ ´ëÇÑ ±æÀ» ±×¸³´Ï´Ù.

SLAM(Simultaneous Localization and Mapping) ½ÃÀåÀÇ Àü·« ºÐ¼®Àº ¼¼°è ½ÃÀå¿¡¼­ÀÇ Á¸À縦 °­È­ÇÏ·Á´Â ±â¾÷¿¡ ÇʼöÀûÀÔ´Ï´Ù. ÁÖ¿ä ÀÚ¿ø, ´É·Â ¹× ¼º°ú ÁöÇ¥¸¦ °ËÅäÇÔÀ¸·Î½á ±â¾÷Àº ¼ºÀå ±âȸ¸¦ ÆÄ¾ÇÇÏ°í °³¼±À» À§ÇØ ³ë·ÂÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Á¢±Ù ¹æ½ÄÀ» ÅëÇØ °æÀï ±¸µµ¿¡¼­ °úÁ¦¸¦ ±Øº¹ÇÏ°í »õ·Î¿î ºñÁî´Ï½º ±âȸ¸¦ Ȱ¿ëÇÏ¿© Àå±âÀûÀÎ ¼º°øÀ» °ÅµÑ ¼ö Àִ üÁ¦¸¦ ±¸ÃàÇÒ ¼ö ÀÖ½À´Ï´Ù.

ÀÌ º¸°í¼­´Â ÁÖ¿ä °ü½É ºÐ¾ß¸¦ Æ÷°ýÇÏ´Â ½ÃÀåÀÇ Á¾ÇÕÀûÀÎ ºÐ¼®À» Á¦°øÇÕ´Ï´Ù.

1. ½ÃÀå ħÅõ : ÇöÀç ½ÃÀå ȯ°æÀÇ »ó¼¼ÇÑ °ËÅä, ÁÖ¿ä ±â¾÷ÀÇ ±¤¹üÀ§ÇÑ µ¥ÀÌÅÍ, ½ÃÀå µµ´Þ¹üÀ§ ¹× Àü¹ÝÀûÀÎ ¿µÇâ·ÂÀ» Æò°¡ÇÕ´Ï´Ù.

2. ½ÃÀå °³Ã´µµ : ½ÅÈï ½ÃÀåÀÇ ¼ºÀå ±âȸ¸¦ ÆÄ¾ÇÇÏ°í ±âÁ¸ ºÐ¾ßÀÇ È®Àå °¡´É¼ºÀ» Æò°¡ÇÏ¸ç ¹Ì·¡ ¼ºÀåÀ» À§ÇÑ Àü·«Àû ·Îµå¸ÊÀ» Á¦°øÇÕ´Ï´Ù.

3. ½ÃÀå ´Ù¾çÈ­ : ÃÖ±Ù Á¦Ç° Ãâ½Ã, ¹Ì°³Ã´ Áö¿ª, ¾÷°èÀÇ ÁÖ¿ä Áøº¸, ½ÃÀåÀ» Çü¼ºÇÏ´Â Àü·«Àû ÅõÀÚ¸¦ ºÐ¼®ÇÕ´Ï´Ù.

4. °æÀï Æò°¡ ¹× Á¤º¸ : °æÀï ±¸µµ¸¦ öÀúÈ÷ ºÐ¼®ÇÏ¿© ½ÃÀå Á¡À¯À², »ç¾÷ Àü·«, Á¦Ç° Æ÷Æ®Æú¸®¿À, ÀÎÁõ, ±ÔÁ¦ ´ç±¹ ½ÂÀÎ, ƯÇã µ¿Çâ, ÁÖ¿ä ±â¾÷ÀÇ ±â¼ú Áøº¸ µîÀ» °ËÁõÇÕ´Ï´Ù.

5. Á¦Ç° °³¹ß ¹× Çõ½Å : ¹Ì·¡ ½ÃÀå ¼ºÀåÀ» °¡¼ÓÇÒ °ÍÀ¸·Î ¿¹»óµÇ´Â ÃÖ÷´Ü ±â¼ú, ¿¬±¸°³¹ß Ȱµ¿, Á¦Ç° Çõ½ÅÀ» °­Á¶ÇÕ´Ï´Ù.

¶ÇÇÑ ÀÌÇØ°ü°èÀÚ°¡ ÃæºÐÇÑ Á¤º¸¸¦ ¾ò°í ÀÇ»ç°áÁ¤À» ÇÒ ¼ö ÀÖµµ·Ï Áß¿äÇÑ Áú¹®¿¡ ´ë´äÇϰí ÀÖ½À´Ï´Ù.

1. ÇöÀç ½ÃÀå ±Ô¸ð ¹× ÇâÈÄ ¼ºÀå ¿¹ÃøÀº?

2. ÃÖ°íÀÇ ÅõÀÚ ±âȸ¸¦ Á¦°øÇÏ´Â Á¦Ç°, ºÎ¹® ¹× Áö¿ªÀº ¾îµðÀԴϱî?

3. ½ÃÀåÀ» Çü¼ºÇÏ´Â ÁÖ¿ä ±â¼ú µ¿Çâ ¹× ±ÔÁ¦ÀÇ ¿µÇâÀº?

4. ÁÖ¿ä º¥´õÀÇ ½ÃÀå Á¡À¯À² ¹× °æÀï Æ÷Áö¼ÇÀº?

5. º¥´õ ½ÃÀå ÁøÀÔ ¹× ö¼ö Àü·«ÀÇ ¿øµ¿·ÂÀÌ µÇ´Â ¼öÀÍ¿ø°ú Àü·«Àû ±âȸ´Â ¹«¾ùÀΰ¡?

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Á¦7Àå SLAM(Simultaneous Localization and Mapping) ½ÃÀå : ¹æ¹ýº°

  • ¶óÀÌ´õ SLAM
    • 2D ¶óÀÌ´õ SLAM
    • 3D ¶óÀÌ´õ SLAM
  • ºñÁÖ¾ó SLAM

Á¦8Àå SLAM(Simultaneous Localization and Mapping) ½ÃÀå : ÃÖÁ¾ »ç¿ëÀÚº°

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Á¦9Àå ¾Æ¸Þ¸®Ä«ÀÇ SLAM(Simultaneous Localization and Mapping) ½ÃÀå

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  • 3dvisionlabs GmbH
  • Accerion
  • ADLINK Technology Inc.
  • Amazon.com, Inc.
  • Apple Inc.
  • AutoMap Sales
  • Clearpath Robotics Inc.
  • Emesent Pty Ltd.
  • GeoSLAM by FARO Technologies, Inc.
  • Google LLC by Alphabet Inc.
  • Intel Corporation
  • Kudan Inc.
  • KUKA AG
  • MAXST Co., Ltd.
  • Meta Platforms, Inc.
  • Microsoft Corporation
  • NavVis GmbH
  • Ouster, Inc.
  • Qualcomm Technologies, Inc.
  • RGo Robotics, Inc.
  • Sevensense Robotics AG
  • SLAMcore Limited
  • SLAMTEC Co., Ltd.
  • ST Engineering Aethon, Inc.
  • The MathWorks, Inc.
AJY 24.12.02

The Simultaneous Localization & Mapping Market was valued at USD 133.73 million in 2023, expected to reach USD 178.58 million in 2024, and is projected to grow at a CAGR of 34.11%, to USD 1,043.70 million by 2030.

Simultaneous Localization and Mapping (SLAM) is a pivotal technology that enables devices, typically mobile robots or autonomous vehicles, to map an unknown environment while simultaneously keeping track of their location within that space. This dual functionality is vital in numerous sectors, including robotics, autonomous vehicles, augmented reality (AR), and virtual reality (VR). Key growth drivers of the SLAM market include the increasing demand for automation in manufacturing processes, the rapid adoption of autonomous vehicles, the burgeoning use of AR devices in gaming and retail, and ongoing advancements in sensor technologies. Opportunities in this market lie in sectors such as industrial robotics, where SLAM can greatly enhance operational efficiencies, and healthcare, where it can facilitate advanced robotic surgery and patient care services. The development of 5G technology also presents a catalytic opportunity to enhance SLAM's accuracy and real-time capabilities. However, challenges such as the high cost of implementation, complexity of SLAM algorithms, and integration issues with existing systems pose significant barriers. Moreover, real-time sensor data processing and environmental unpredictability in complex terrains are technical hurdles that could stymie growth. Innovation can take shape in enhancing SLAM's robustness, reducing costs, and improving real-time data processing. Research in this domain could focus on AI-driven SLAM algorithms that adapt better to dynamic environments and can process diverse sensor data, including visual, LIDAR, and radar, with higher efficiency. The SLAM market remains highly dynamic, characterized by rapid technological advancements and intense competition. Companies should focus on forming strategic partnerships and investing in R&D to stay competitive. Potential entrants should focus on developing solutions that offer scalability, interoperability, and cost-effectiveness to carve a niche in this promising field.

KEY MARKET STATISTICS
Base Year [2023] USD 133.73 million
Estimated Year [2024] USD 178.58 million
Forecast Year [2030] USD 1,043.70 million
CAGR (%) 34.11%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Simultaneous Localization & Mapping Market

The Simultaneous Localization & Mapping Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Increasing demand for service robots for domestic and industrial applications
    • Significant applications of SLAM in military and commercial drones
    • Growing production of autonomous vehicles across economies
  • Market Restraints
    • High initial investment cost and technical complexities associated with SLAM
  • Market Opportunities
    • Growing advancements to introduce newly developed SLAM technology
    • Rise of AI and emerging technologies of AR
  • Market Challenges
    • Issues associated with SLAM in dynamic environments

Porter's Five Forces: A Strategic Tool for Navigating the Simultaneous Localization & Mapping Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Simultaneous Localization & Mapping Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Simultaneous Localization & Mapping Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Simultaneous Localization & Mapping Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Simultaneous Localization & Mapping Market

A detailed market share analysis in the Simultaneous Localization & Mapping Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Simultaneous Localization & Mapping Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Simultaneous Localization & Mapping Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Simultaneous Localization & Mapping Market

A strategic analysis of the Simultaneous Localization & Mapping Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Simultaneous Localization & Mapping Market, highlighting leading vendors and their innovative profiles. These include 3dvisionlabs GmbH, Accerion, ADLINK Technology Inc., Amazon.com, Inc., Apple Inc., AutoMap Sales, Clearpath Robotics Inc., Emesent Pty Ltd., GeoSLAM by FARO Technologies, Inc., Google LLC by Alphabet Inc., Intel Corporation, Kudan Inc., KUKA AG, MAXST Co., Ltd., Meta Platforms, Inc., Microsoft Corporation, NavVis GmbH, Ouster, Inc., Qualcomm Technologies, Inc., RGo Robotics, Inc., Sevensense Robotics AG, SLAMcore Limited, SLAMTEC Co., Ltd., ST Engineering Aethon, Inc., and The MathWorks, Inc..

Market Segmentation & Coverage

This research report categorizes the Simultaneous Localization & Mapping Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Type, market is studied across Deep Learning Based SLAM, Filter Based SLAM, and Graph Based SLAM. The Deep Learning Based SLAM is further studied across EnvSLAM, LIFT-SLAM, and RatSLAM. The Filter Based SLAM is further studied across Extended Kalman Filter (EKS), Kalman Filter, Particle Filter, and Unscented Kalman Filter (UKS).
  • Based on Method, market is studied across LiDAR SLAM and Visual SLAM. The LiDAR SLAM is further studied across 2D LiDAR SLAM and 3D LiDAR SLAM.
  • Based on End-User, market is studied across Aerospace & Defense, Agriculture, Automotive & Transportation, Building & Construction, Healthcare & Lifesciences, and Manufacturing.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing demand for service robots for domestic and industrial applications
      • 5.1.1.2. Significant applications of SLAM in military and commercial drones
      • 5.1.1.3. Growing production of autonomous vehicles across economies
    • 5.1.2. Restraints
      • 5.1.2.1. High initial investment cost and technical complexities associated with SLAM
    • 5.1.3. Opportunities
      • 5.1.3.1. Growing advancements to introduce newly developed SLAM technology
      • 5.1.3.2. Rise of AI and emerging technologies of AR
    • 5.1.4. Challenges
      • 5.1.4.1. Issues associated with SLAM in dynamic environments
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Simultaneous Localization & Mapping Market, by Type

  • 6.1. Introduction
  • 6.2. Deep Learning Based SLAM
    • 6.2.1. EnvSLAM
    • 6.2.2. LIFT-SLAM
    • 6.2.3. RatSLAM
  • 6.3. Filter Based SLAM
    • 6.3.1. Extended Kalman Filter (EKS)
    • 6.3.2. Kalman Filter
    • 6.3.3. Particle Filter
    • 6.3.4. Unscented Kalman Filter (UKS)
  • 6.4. Graph Based SLAM

7. Simultaneous Localization & Mapping Market, by Method

  • 7.1. Introduction
  • 7.2. LiDAR SLAM
    • 7.2.1. 2D LiDAR SLAM
    • 7.2.2. 3D LiDAR SLAM
  • 7.3. Visual SLAM

8. Simultaneous Localization & Mapping Market, by End-User

  • 8.1. Introduction
  • 8.2. Aerospace & Defense
  • 8.3. Agriculture
  • 8.4. Automotive & Transportation
  • 8.5. Building & Construction
  • 8.6. Healthcare & Lifesciences
  • 8.7. Manufacturing

9. Americas Simultaneous Localization & Mapping Market

  • 9.1. Introduction
  • 9.2. Argentina
  • 9.3. Brazil
  • 9.4. Canada
  • 9.5. Mexico
  • 9.6. United States

10. Asia-Pacific Simultaneous Localization & Mapping Market

  • 10.1. Introduction
  • 10.2. Australia
  • 10.3. China
  • 10.4. India
  • 10.5. Indonesia
  • 10.6. Japan
  • 10.7. Malaysia
  • 10.8. Philippines
  • 10.9. Singapore
  • 10.10. South Korea
  • 10.11. Taiwan
  • 10.12. Thailand
  • 10.13. Vietnam

11. Europe, Middle East & Africa Simultaneous Localization & Mapping Market

  • 11.1. Introduction
  • 11.2. Denmark
  • 11.3. Egypt
  • 11.4. Finland
  • 11.5. France
  • 11.6. Germany
  • 11.7. Israel
  • 11.8. Italy
  • 11.9. Netherlands
  • 11.10. Nigeria
  • 11.11. Norway
  • 11.12. Poland
  • 11.13. Qatar
  • 11.14. Russia
  • 11.15. Saudi Arabia
  • 11.16. South Africa
  • 11.17. Spain
  • 11.18. Sweden
  • 11.19. Switzerland
  • 11.20. Turkey
  • 11.21. United Arab Emirates
  • 11.22. United Kingdom

12. Competitive Landscape

  • 12.1. Market Share Analysis, 2023
  • 12.2. FPNV Positioning Matrix, 2023
  • 12.3. Competitive Scenario Analysis
  • 12.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. 3dvisionlabs GmbH
  • 2. Accerion
  • 3. ADLINK Technology Inc.
  • 4. Amazon.com, Inc.
  • 5. Apple Inc.
  • 6. AutoMap Sales
  • 7. Clearpath Robotics Inc.
  • 8. Emesent Pty Ltd.
  • 9. GeoSLAM by FARO Technologies, Inc.
  • 10. Google LLC by Alphabet Inc.
  • 11. Intel Corporation
  • 12. Kudan Inc.
  • 13. KUKA AG
  • 14. MAXST Co., Ltd.
  • 15. Meta Platforms, Inc.
  • 16. Microsoft Corporation
  • 17. NavVis GmbH
  • 18. Ouster, Inc.
  • 19. Qualcomm Technologies, Inc.
  • 20. RGo Robotics, Inc.
  • 21. Sevensense Robotics AG
  • 22. SLAMcore Limited
  • 23. SLAMTEC Co., Ltd.
  • 24. ST Engineering Aethon, Inc.
  • 25. The MathWorks, Inc.
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