½ÃÀ庸°í¼­
»óǰÄÚµå
1339998

¼¼°èÀÇ ³ó¾÷¿ë ·Îº¿ ½ÃÀå ¿¹Ãø(-2030³â) : À¯Çüº°, Á¦°øº°, ³ó¾÷ ȯ°æº°, ¿ëµµº°, Áö¿ªº° ºÐ¼®

Agriculture Robots Market Forecasts to 2030 - Global Analysis By Type (Automated Harvesting Robots, Driverless Tractors, Milking Robots, Unmanned Aerial Vehicles and Other Types), Offering, Farming Environment, Application and By Geography

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Stratistics Market Research Consulting | ÆäÀÌÁö Á¤º¸: ¿µ¹® 175+ Pages | ¹è¼Û¾È³» : 2-3ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    



¡Ø º» »óǰÀº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

Stratistics MRC¿¡ µû¸£¸é ¼¼°èÀÇ ³ó¾÷¿ë ·Îº¿(Agriculture Robots) ½ÃÀåÀº 2023³â 100¾ï 8,000¸¸ ´Þ·¯¸¦ Â÷ÁöÇß½À´Ï´Ù. 2030³â 19.2%ÀÇ CAGR·Î ¼ºÀåÇÒ Àü¸ÁÀ̸ç, 342¾ï 2,000¸¸ ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

³ó¾÷¿ëÀ¸·Î Ưº°È÷ ¼³°èµÈ ÀÚµ¿È­ Àåºñ´Â ³ó¾÷¿ë ·Îº¿À¸·Î ¾Ë·ÁÁ® ÀÖ½À´Ï´Ù. ³ó¾÷Àº ÀÌ·¯ÇÑ ·Îº¿¿¡ ÀÇÇØ ÃÖ¼ÒÇÑ Àΰ£ °³ÀÔÀ¸·Î ÀÌ·ç¾îÁý´Ï´Ù. ÀÌ ÀåÄ¡´Â ³óºÎ°¡ ±ð°í, Àܵð ±ð°í, »ìÆ÷ÇÏ´Â °Í°ú °°Àº ÀâÀÏÀ» Çϱâ À§ÇØ ÀÌ¿ëµË´Ï´Ù. ÇöÀç ¼¼°èÀÇ ÀÌ·¯ÇÑ ³ó¾÷¿ë ·Îº¿ »ç¿ëÀº »ý»ê¼ºÀ» È¿°úÀûÀ¸·Î Çâ»ó½ÃŰ´Â µ¥ ÇʼöÀûÀÔ´Ï´Ù.

±¹Á¦·Îº¿¿¬¸Í(IFR)¿¡ µû¸£¸é ij³ª´Ù, ¹Ì±¹, Áß±¹, ¼­À¯·´, ÀϺ» ¾à 2¸¸Ã¤ ³«³óÀåÀÌ ·Îº¿À» µµÀÔÇϰí ÀÖ½À´Ï´Ù. ÂøÀ¯ Ƚ¼ö Áõ°¡¿Í ³ôÀº ³ëµ¿ À¯¿¬¼ºÀÌ ÂøÀ¯ ·Îº¿ ½ÃÀåÀ» °ßÀÎÇϰí ÀÖ½À´Ï´Ù.

½ÃÀå ¿ªÇÐ:

ÃËÁø ¿äÀÎ:

  • ³ó¾÷ ºÎ¹® ³ëµ¿ÀÚ ºÎÁ·.
  • ³ó¾÷ ÈÆ·ÃµÈ ³ëµ¿·Â ¾÷°è ÀüüÀÇ ³ëµ¿·Â ºÎÁ·ÀÌ ³ó¾÷¿ë ·Îº¿ ¼Ò°³¸¦ °¡Á®¿Â ¿äÀÎÀÔ´Ï´Ù. ³ó¾÷ ³ëµ¿ÀÚµéÀº ¸¹Àº °÷¿¡ Á¢±ÙÇϱ⠾î·Á¿öÁö°í ÀÖÀ¸¸ç, ³ëµ¿ Áý¾àÀûÀÎ ÀÛ¾÷À» ¿Ï·áÇÏ´Â °ÍÀÌ ¾î·Á¿öÁö°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ·Îº¿ »ç¿ëÀº Àΰ£ ³ëµ¿·Â Çʿ伺À» ÁÙÀ̰í ÇØ°áÃ¥ÀÔ´Ï´Ù. ÀÌ·¯ÇÑ ·Îº¿Àº Áö¼ÓÀûÀÎ ¸ð´ÏÅ͸µ ¾øÀÌ ÀÚÀ²ÀûÀ¸·Î ÀÛ¾÷ÇÒ ¼ö ÀÖÀ¸¸ç ·çƾ ÀÛ¾÷À» Á¤È®Çϰí È¿À²ÀûÀ¸·Î ¼öÇàÇÒ ¼ö ÀÖ½À´Ï´Ù. ³ó¾÷¿ë ·Îº¿Àº ½É±â, Á¦ÃÊ, ¼öÈ® µî Àâ¿ëÀ» ÀÚµ¿È­ÇÏ¿© ³ó°¡ ÀÎÀû ºÎÁ·À» ±Øº¹ÇÏ¿© »ý»ê·®À» Çâ»ó½Ã۰í, ¿î¿µ ºñ¿ëÀ» Àý°¨ÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù.

¾ïÁ¦ ¿äÀÎ

  • ¼Ò±Ô¸ð ³óºÎ¿¡°Ô´Â µðÁöÅÐÈ­ ºñ¿ëÀÌ ³ô½À´Ï´Ù.
  • ÀÌ·¯ÇÑ ·Îº¿Àº »ý»ê¼º Çâ»ó, Á¤¹Ðµµ Çâ»ó, ³ëµ¿·Â Àý°¨ µî ¸î °¡Áö ÀåÁ¡ÀÌ ÀÖÁö¸¸, ºñ½Ñ ºñ¿ëÀº ³ó°¡, ƯÈ÷ Áß¼Ò±Ô¸ð ³ó°¡ ±¤¹üÀ§ÇÑ Ã¤ÅÃÀ» ¹æÇØÇϰí ÀÖ½À´Ï´Ù. ³ó¾÷¿ë ·Îº¿ Ãʱâ ÅõÀÚ¿Í À¯Áö º¸¼ö ºñ¿ëÀ¸·Î ÀÎÇØ ¸¹Àº ³óºÎµéÀÌ ½Å±â¼ú¿¡ Á¢±ÙÇÒ ¼ö ¾ø½À´Ï´Ù. ±× °á°ú, ³ó¾÷ µðÁöÅÐ °ÝÂ÷°¡ È®´ëµÇ°í, ´ë±Ô¸ð·Î ºÎÀ¯ÇÑ ³ó°¡´Â ±â¼ú °³·®À¸·ÎºÎÅÍ ÀÌÀÍÀ» ¾òÁö¸¸, ¼Ò±Ô¸ð·Î ÀÚ¿ø¿¡ Á¦¾àÀÌ ÀÖ´Â ³ó°¡´Â ±â¼ú °³·®À» µû¶óÀâ±â°¡ ¾î·Á¿öÁö°í ÀÖ½À´Ï´Ù. °Ô´Ù°¡, ³ó¾÷ ±â¼ú ±â¾÷Àº ºñ¿ëÀÌ ¸¹ÀÌ µé±â ¶§¹®¿¡ ºñ¿ë È¿À²ÀûÀÎ ¼Ö·ç¼ÇÀ» âÃâÇϱ⸦ Èñ¸ÁÇϱ⠶§¹®¿¡ Á¦ÇÑµÈ ¿¹»êÀ¸·Î ³ó¹ÎµéÀÌ »ç¿ëÇÒ ¼ö ÀÖ´Â ¿É¼ÇÀº Á¦ÇѵǾî ÀÖ½À´Ï´Ù.

±âȸ:

  • ¹Ì°³Ã´ ½ÃÀå ÀáÀç°ú ÀÚµ¿È­ ¿©Áö.
  • ·Îº¿ °øÇÐÀº ½Äǰ °¡°ø ºÐ¾ß´Â ³Î¸® Ȱ¿ëµÇ°í ÀÖÁö¸¸, ³ó¾÷ ºÐ¾ß´Â ±×´ÙÁö Ȱ¿ëµÇ°í ÀÖÁö ¾Ê½À´Ï´Ù. ¶ÇÇÑ Ç°Áú °ü¸®¿¡ ·Îº¿À» Àû¿ëÇÏ¸é »ç¹° ÀÎÅÍ³Ý ÅÂ±×¿Í °°Àº ÀÚÀ² Ç÷§ÆûÀ» ±¸ÇöÇÒ ±âȸ°¡ »ý±é´Ï´Ù. ³ó¾÷ ºÐ¾ß ÀÚµ¿È­´Â »ý»êµÇ´Â ÀÛ¹°°ú °¡Ãà ¼ö¿Í ǰÁúÀ» ±Ø´ëÈ­Çϱâ À§ÇØ ´Ù¾çÇÑ ½Äº° ű׸¦ »ç¿ëÇÏ¿© °¡Ãà°ú »ê¾÷ »ý»êÀ» À§ÇÑ ¿ø·á¸¦ ÃßÀûÇÏ´Â ¿ø°Ý °¨Áö¸¦ »ç¿ëÇÏ¿© ´õ¿í Çâ»óµË´Ï´Ù. ÀϺΠ¹«ÀÎ Ç×°ø±â¿Í ·Îº¿ ±â¼ú ź»ý°ú º¸±ÞÀ¸·Î ³óºÎµéÀº ÀÛ¾÷ÀÇ ¾ö°ÝÇÑ Æ¯¼ºÀ» ´Ù·ç±â ½±½À´Ï´Ù.

À§Çù

  • AI ±â¹Ý ³ó¾÷¿ë ·Îº¿À» »ç¿ëÇÏ´Â ÀáÀçÀû À§Çè.
  • ÀÌ·¯ÇÑ ÃÖ÷´Ü ·Îº¿Àº »ý»ê¼º, Á¤È®¼º, »ý»ê·®À» Çâ»ó½ÃÄÑ ³ó¾÷ ±â¼úÀ» º¯È­½Ãų ¼ö ÀÖ´Â Å« °¡´É¼ºÀ» °¡Áö°í ÀÖÁö¸¸, ÇÑÆíÀ¸·Î´Â ¾î¶² À¯Çü À§Ç輺µµ ³»ÀçÇϰí ÀÖ½À´Ï´Ù. ÀÚµ¿È­·Î ÀÎÇØ °í¿ëÀÌ ¼Õ½ÇµÉ °¡´É¼º, ¼Ò±Ô¸ð ³óºÎ ¾×¼¼½º Á¦ÇÑ, µ¥ÀÌÅÍ º¸¾È ¹× °³ÀÎ Á¤º¸ º¸È£ ¿ì·Á, ½Å·ÚÇÒ ¼ö ÀÖ´Â ±â¼ú ÀÎÇÁ¶ó Çʿ伺 µîÀÌ ¿ì·ÁµË´Ï´Ù. AI ÁÖµµÇü ³ó¾÷¿ë ·Îº¿ À±¸®ÀûÀ̰í Àå±âÀûÀΠä¿ëÀ» º¸ÀåÇϱâ À§Çؼ­´Â ±â¼úÀû Áøº¸¿Í ÀÌ·¯ÇÑ ¹®Á¦ ÇØ°á °£¿¡ ±ÕÇüÀ» ¸ÂÃß´Â °ÍÀÌ ¸Å¿ì Áß¿äÇÕ´Ï´Ù.

COVID-19 ¿µÇâ:

  • COVID-19 À¯ÇàÀº ³ó¾÷¿ë ·Îº¿ ½ÃÀå¿¡ Å« ¿µÇâÀ» ¹ÌÃÆ½À´Ï´Ù. ºÀ¼â, ³ëµ¿·Â ºÎÁ·, °ø±Þ¸Á È¥¶õÀº ź·ÂÀûÀ̰í ÀÚµ¿È­µÈ ³ó¾÷ Çʿ伺À» ºÎ°¢½ÃÄ×½À´Ï´Ù. ÀÌ ¶§¹®¿¡ ÀÌ·¯ÇÑ °úÁ¦¸¦ °æ°¨Çϱâ À§ÇÑ ·Îº¿ °øÇÐ °ü½ÉÀÌ ³ô¾ÆÁö°í ÀÖ½À´Ï´Ù. ±×·¯³ª À¯ÇàÀº »ý»ê Áö¿¬, ÀÚ±Ý °¨¼Ò, ÇöÀå Å×½ºÆ® Á¦ÇѰú °°Àº Àå¾Ö¸¦ ÃÊ·¡Çß½À´Ï´Ù. ÀÌ·¯ÇÑ Àå¾Ö¹°¿¡µµ ºÒ±¸ÇϰíÀÌ À§±â´Â ƯÈ÷ ½É±â, ¼öÈ®, ¸ð´ÏÅ͸µ µî ÀÛ¾÷ ³ó¾÷¿ë ·Îº¿ ä¿ëÀ» °¡¼ÓÈ­Çß½À´Ï´Ù.
  • ÂøÀ¯ ·Îº¿ ºÐ¾ß°¡ ÃÖ´ë°¡µÉ Àü¸Á
  • ÂøÀ¯ ·Îº¿ ºÐ¾ß´Â ÃÖ´ë°¡µÉ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÂøÀ¯ ·Îº¿Àº ÂøÀ¯ °úÁ¤À» ¿ÏÀüÈ÷ ÀÚµ¿È­ÇÏ°í ³«³ó »ç¾÷¿¡ Çõ¸íÀ» °¡Á®¿Ô½À´Ï´Ù. ÀÌ ÃÖ÷´Ü Àåºñ´Â »ç¶÷ ¼Õ¾øÀÌ ÂøÀ¯ÇÒ ¼ö ÀÖµµ·Ï¸¸µé¾îÁ³À¸¸ç ³«³ó°¡¿¡°Ô ¸î °¡Áö ÀåÁ¡ÀÌ ÀÖ½À´Ï´Ù. ÂøÀ¯ ÄÅÀ» ±â°èÀûÀ¸·Î Á¥¼Ò À¯¹æ¿¡ °íÁ¤Çϰųª Á¦°ÅÇÔÀ¸·Î½á ÂøÀ¯ ·Îº¿Àº ¼ÕÀ» Â¥³¾ Çʿ䰡 ¾ø½À´Ï´Ù. ¶ÇÇÑ ÂøÀ¯ ·Îº¿ ¼¾¼­´Â °¡Ãà °Ç°­, À¯·® ¹× À¯Áú Á¤º¸¸¦ ¼öÁýÇÕ´Ï´Ù.
  • ¿Á¿Ü¿ë ºÎ¹®ÀÌ °¡Àå ³ô¾ÆÁú Àü¸ÁÀÔ´Ï´Ù.
  • ÇöÀç, ¿Á¿Ü¿ë ·Îº¿ÀÌ ´ëºÎºÐ ³ó¾÷ ¿ëµµ·Î »ç¿ëµÇ°í Àֱ⠶§¹®¿¡ ¿Á¿Ü ³ó¾÷ ȯ°æÀ» À§ÇÑ ³ó¾÷¿ë ·Îº¿ÀÌ ½ÃÀåÀ» µ¶Á¡ÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ¿Á¿Ü¿ë ³ó¾÷¿ë ·Îº¿ Áß °¡Àå º¸±ÞµÇ°í ÀÖ´Â °ÍÀº ÃËÁø ¿äÀÎ ·¹½º Æ®·¢ÅÍ UAV¿Í µå·Ð, ÀÚµ¿ ¼öÈ® ½Ã½ºÅÛÀÔ´Ï´Ù. °úÀÏ ¹× ä¼Ò¸¦ Æ÷ÇÔÇÑ ³óÀÛ¹° ´ëºÎºÐÀº ¾ß¿Ü Àç¹èµË´Ï´Ù. ¶ÇÇÑ ´ëºÎºÐ ·Îº¿ÀÌ ¿Á¿Ü¿ëÀ¸·Î °³¹ßµÇ¾ú±â ¶§¹®¿¡ ¿Á¿Ü ³ó¾÷ ½ÃÀå Á¡À¯À²ÀÌ Ä¿Áú °ÍÀ¸·Î º¸ÀÔ´Ï´Ù.

ÃÖ´ë Á¡À¯À²ÀÌ ÀÖ´Â Áö¿ª:

¾Æ½Ã¾ÆÅÂÆò¾çÀº ½ÃÀå »ó´çÇÑ ¼ºÀåÀ» ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÀÌ Áö¿ª ½ÃÀåÀº ³ëµ¿·Â ºÎÁ· ½É°¢È­, ÀÌ Áö¿ª ÀΰǺñ »ó½Â, 1ÀÎ´ç °¡Ã³ºÐ ¼Òµæ ³ôÀÌ µîÀ» ¹è°æÀ¸·Î ÷´Ü ±â¼ú ä¿ëÀÌ ÁøÇàµÇ°í ÀÖ´Â °ÍÀÌ ¿äÀÎÀÔ´Ï´Ù. ¹«ÀÎ Ç×°ø±â, ¹«ÀÎ Æ®·¢ÅÍ ½º¸¶Æ® ³ó¾÷À» Á¦°øÇÏ´Â ±âŸ ³ó¾÷ ½Ã½ºÅÛ µî ³ó¾÷¿¡ ·Îº¿ µµÀÔ Á¤ºÎ Àå·Á°¡ Áõ°¡Çϰí ÀÖ´Â °Íµµ ÀÌ Áö¿ª ¼ºÀå¿¡ ±â¿©Çϰí ÀÖ´Â ¿äÀÎ Áß ÇϳªÀÔ´Ï´Ù.

°¡Àå ³ôÀº ¼ºÀå·üÀ» º¸ÀÌ´Â Áö¿ª:

ÀÌ Áö¿ª ½ÃÀåÀ» °ßÀÎÇϰí ÀÖ´Â °ÍÀº ³ëµ¿·Â ºÎÁ· ½É°¢È­, ÀÌ Áö¿ª ÀΰǺñ »ó½Â, 1ÀÎ´ç °¡Ã³ºÐ¼Òµæ ³ôÀÌ Ã·´Ü±â¼ú ä¿ë Áõ°¡ÀÔ´Ï´Ù. ¹«ÀÎ Ç×°ø±â, ¿îÀüÀÚ°¡ ¾ø´Â Æ®·¢ÅÍ ½º¸¶Æ® ³ó¾÷À» Á¦°øÇÏ´Â ±âŸ ³ó¾÷ ½Ã½ºÅÛ µî ³ó¾÷¿¡ ·Îº¿ µµÀÔ Á¤ºÎ Àå·Á°¡ Áõ°¡Çϰí ÀÖ´Â °Íµµ ÀÌ Áö¿ª ¼ºÀå¿¡ ±â¿©Çϰí ÀÖ´Â ¿äÀÎ Áß ÇϳªÀÔ´Ï´Ù.

¹«·á »ç¿ëÀÚ Á¤ÀÇ ¼­ºñ½º:

º¸°í¼­¸¦ ±¸µ¶ÇÏ´Â °í°´¿¡°Ô´Â ´ÙÀ½ ¹«·á »ç¿ëÀÚ Á¤ÀÇ ¿É¼Ç Áß Çϳª¸¦ Á¦°øÇÕ´Ï´Ù.

  • ±â¾÷ ÇÁ·ÎÇÊ
    • Ãß°¡ ½ÃÀå ±â¾÷ Á¾ÇÕÀû ÇÁ·ÎÆÄÀϸµ(3»ç±îÁö)
    • ÁÖ¿ä ±â¾÷ SWOT ºÐ¼®(3»ç±îÁö)
  • Áö¿ª ¼¼ºÐÈ­
    • °í°´ °ü½É¿¡ ÀÀÇÑ ÁÖ¿ä±¹ ½ÃÀå Ãß°è, ¿¹Ãø, CAGR(ÁÖ : Ÿ´ç¼º È®Àο¡ µû¸§)
  • °æÀï º¥Ä¡¸¶Å·
    • Á¦Ç° Æ÷Æ®Æú¸®¿À, Áö¸®Àû Á¸Àç, Àü·« Á¦ÈÞ¿¡ ±â¹ÝÇÑ ÁÖ¿ä ±â¾÷ º¥Ä¡¸¶Å·

¸ñÂ÷

Á¦1Àå ÁÖ¿ä ¿ä¾à

Á¦2Àå ¼­¹®

  • ÁÖ¿ä ¿ä¾à
  • ÀÌÇØ°ü°èÀÚ
  • Á¶»ç ¹üÀ§
  • Á¶»ç ¹æ¹ý
    • µ¥ÀÌÅÍ ¸¶ÀÌ´×
    • µ¥ÀÌÅÍ ºÐ¼®
    • µ¥ÀÌÅÍ °ËÁõ
    • Á¶»ç Á¢±Ù
  • Á¶»ç ¼Ò½º
    • 1Â÷ Á¶»ç ¼Ò½º
    • 2Â÷ Á¶»ç ¼Ò½º
    • °¡Á¤

Á¦3Àå ½ÃÀå µ¿Ç⠺м®

  • ¼ºÀå ÃËÁø ¿äÀÎ
  • ¾ïÁ¦ ¿äÀÎ
  • ±âȸ
  • À§Çù
  • ¿ëµµ, ºÐ¼®
  • ½ÅÈï ½ÃÀå
  • COVID-19 ¿µÇâ

Á¦4Àå Æ÷ÅÍÀÇ 5¼¼·Â ºÐ¼®

  • °ø±Þ±â¾÷ Çù»ó·Â
  • ±¸¸ÅÀÚ Çù»ó·Â
  • ´ëüǰ À§Çù
  • ½Å±Ô Âü°¡¾÷ü À§Çù
  • °æÀï ±â¾÷°£ °æÀï °ü°è

Á¦5Àå ¼¼°èÀÇ ³ó¾÷¿ë ·Îº¿ ½ÃÀå : À¯Çüº°

  • ÀÚµ¿ ¼öÈ® ·Îº¿
  • ¹«ÀÎ Æ®·¢ÅÍ
  • ÂøÀ¯ ·Îº¿
  • ¹«ÀÎ Ç×°ø±â(µå·Ð)
  • ±âŸ À¯Çü

Á¦6Àå ¼¼°èÀÇ ³ó¾÷¿ë ·Îº¿ ½ÃÀå : Á¦°øº°

  • Çϵå¿þ¾î
  • ¼­ºñ½º
  • ¼ÒÇÁÆ®¿þ¾î

Á¦7Àå ¼¼°èÀÇ ³ó¾÷¿ë ·Îº¿ ½ÃÀå : ³ó¾÷ ȯ°æº°

  • ½Ç³»
  • ¿Á¿Ü

Á¦8Àå ¼¼°èÀÇ ³ó¾÷¿ë ·Îº¿ ½ÃÀå : ¿ëµµº°

  • ºê·Îµå ¿¡ÀÌÄ¿
    • ½Ãºñ¿Í °ü°³
    • ÇÊµå ¸ÅÇÎ
    • À̹®È­°£ ¿ÀÆÛ·¹À̼Ç
    • µû±â¿Í ¼öÈ®
    • ¾¾¾Ñ°ú ½É±â
  • ³«³óÀå °ü¸®
    • ÂøÀ¯
    • ¾çÄ¡±â¿Í ¸ñÃà
  • Ç×°ø µ¥ÀÌÅÍ ¼öÁý
  • Àç°í °ü¸®
  • ÀüÁ¤°ü¸®
  • ³¯¾¾ ÃßÀû ¹× ¿¹º¸
  • ±âŸ ¿ëµµ

Á¦9Àå ¼¼°èÀÇ ³ó¾÷¿ë ·Îº¿ ½ÃÀå : Áö¿ªº°

  • ºÏ¹Ì
    • ¹Ì±¹
    • ij³ª´Ù
    • ¸ß½ÃÄÚ
  • À¯·´
    • µ¶ÀÏ
    • ¿µ±¹
    • ÀÌÅ»¸®¾Æ
    • ÇÁ¶û½º
    • ½ºÆäÀÎ
    • ±âŸ À¯·´
  • ¾Æ½Ã¾ÆÅÂÆò¾ç
    • ÀϺ»
    • Áß±¹
    • Àεµ
    • È£ÁÖ
    • ´ºÁú·£µå
    • Çѱ¹
    • ±âŸ ¾Æ½Ã¾ÆÅÂÆò¾ç
  • ³²¹Ì
    • ¾Æ¸£ÇîÆ¼³ª
    • ºê¶óÁú
    • Ä¥·¹
    • ±âŸ ³²¹Ì
  • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
    • »ç¿ìµð¾Æ¶óºñ¾Æ
    • ¾Æ¶ø¿¡¹Ì¸®Æ®(UAE)
    • īŸ¸£
    • ³²¾ÆÇÁ¸®Ä«
    • ±âŸ Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«

Á¦10Àå ÁÖ¿ä ¹ßÀü

  • °è¾à/ÆÄÆ®³Ê½Ê/Çù¾÷/ÇÕÀÛÅõÀÚ(JV)
  • Àμö¿Í ÇÕº´
  • ½ÅÁ¦Ç° ¹ß¸Å
  • »ç¾÷ È®´ë
  • ±âŸ ÁÖ¿ä Àü·«

Á¦11Àå ±â¾÷ ÁÖ¿ä ¿ä¾à

  • AG Eagle LLC
  • AG Leader Technology.
  • Agco Corporation.
  • Agribotix LLC
  • Agrobot
  • Auroras SRL
  • Autocopter Corp.
  • Autonomous Solutions Inc.
  • Blue River Technology
  • Boumatic Robotics, BV
  • Clearpath Robotics
  • Deepfield Robotics
  • Deere& Company
  • DeLaval
  • GEA Group
  • Grownetics Inc.
  • Harvest Automation
  • The International Business Machines Corporation(IBM)
  • John Deere
  • Lely Industries
  • Naio Technologies
  • Precision Hawk
  • Topcon Positioning Systems, Inc.
  • Trimble Inc.
NJH 23.09.21

According to Stratistics MRC, the Global Agriculture Robots Market is accounted for $10.08 billion in 2023 and is expected to reach $34.22 billion by 2030 growing at a CAGR of 19.2% during the forecast period. The automated devices designed specifically for agricultural uses are known as agriculture robots. Farming is done by these robots with the least amount of human intervention. These devices are used by farmers to do chores like trimming, mowing, and spraying, among others. In the present world, the use of these agricultural robots is essential for effectively increasing productivity.

According to the International Federation of Robotics (IFR) Approximately 20,000 dairy farms have installed robots in Canada, the US, China, Western Europe and Japan. The increased milking frequency and high labor flexibility are driving the milking robots market.

Market Dynamics:

Driver:

  • Shortage of workers in the agricultural sector.
  • The industry-wide scarcity of trained manpower in agriculture is the factor that has led to the introduction of agricultural robots. Farm laborers are becoming less accessible in many places, which make it difficult to complete labor-intensive jobs. The use of these robots lessens the need for human labor, which is a solution. These robots are capable of working autonomously without requiring continual monitoring and are accurate and efficient at doing routine jobs. Agricultural robots assist farmers overcome manpower shortages, enhance production, and lower operating costs by automating chores like planting, weeding, and harvesting.

Restraint:

  • High digitization costs for small farms.
  • Although these robots have several advantages, such as greater productivity, accuracy, and decreased labor needs, their expensive costs prevent their broad adoption by farmers, particularly small and medium-sized farms. Many farmers are unable to access new technologies due to the initial investment and maintenance expenses of agricultural robots. The upshot is a growing digital gap in agriculture, as larger, wealthier farms profit from technological improvements but smaller, resource-constrained farmers find it difficult to stay up. Additionally, agricultural technology firms are discouraged from creating cost-effective solutions as a result of the high expenses, thus restricting the alternatives available to farmers on a budget.

Opportunity:

  • Untapped market potential and room for automation.
  • Robotics are widely utilized in the food processing sector, but less so in agriculture. Furthermore, the application of robots for cattle management presents a chance for the implementation of autonomous platforms, such as Internet of Things tags. Automation in the agriculture sector may be further improved by the use of remote sensing to track livestock or raw materials for industrial production using various identifying tags to maximize the number and quality of crops or livestock produced. The creation and widespread use of several drone and robotic technologies have made it easier for farmers to handle the demanding nature of their line of work.

Threat:

  • Potential risk of using AI-based agricultural robots.
  • These cutting-edge robots have the enormous potential to change farming techniques by increasing productivity, accuracy, and output, but they also carry certain inherent hazards. Concerns include the possibility that automation would eliminate jobs, access restrictions for small-scale farmers, data security and privacy concerns, and the requirement for a reliable technological infrastructure. To secure the ethical and long-term adoption of AI-driven agricultural robots, it is crucial to strike a balance between technical advancement and resolving these issues.

COVID-19 Impact:

  • The COVID-19 pandemic has significantly impacted the agriculture robot market. Lockdowns, labor shortages, and disrupted supply chains highlighted the need for resilient and automated agricultural practices. This led to increased interest in robotics to mitigate such challenges. However, the pandemic also posed obstacles in terms of production delays, reduced funding, and limited field testing. Despite these hurdles, the crisis accelerated the adoption of agricultural robots, particularly in tasks like planting, harvesting, and monitoring.
  • The milking robots segment is expected to be the largest during the forecast period
  • The milking robots segment is anticipated to be the largest during the forecast period. Milking robots, have completely automated the milking process, revolutionizing the dairy business. These cutting-edge devices are made to milk cows without the assistance of a person, which has several advantages for dairy producers. By mechanically securing and removing milking cups from a cow's udders, milking robots do away with the necessity for hand milking. Additionally, sensors on milking robots collect information on cow health, milk yield, and milk quality.
  • The outdoor segment is expected to have the highest CAGR during the forecast period
  • Agricultural robots for outdoor farming conditions are expected to rule the market over the forecast period because outside robots are currently used in the majority of agricultural applications. Among the most popular types of outdoor agricultural robots are driverless tractors, UAVs and drones, and automated harvesting systems. A large portion of agricultural crops, including fruits and vegetables, are grown outdoors. Moreover, outdoor farming is likely to have a larger market share as the majority of robots are being developed for outdoor applications.

Region with largest share:

Asia Pacific is expected to register substantial growth over the forecast period in the market. The market in the region is driven by the higher adoption of advanced technology due to an increasing labor shortage, high labor costs in the region, and high per-capita disposable income. Increasing government encouragement for the deployment of robots in agriculture, such as unmanned aerial vehicles, driverless tractors, and other agriculture systems to provide smart farming, are some of the factors contributing to the region's growth.

Region with highest CAGR:

The market in the region is driven by the higher adoption of advanced technology due to an increasing labor shortage, high labor costs in the region, and high per-capita disposable income. Increasing government encouragement for the deployment of robots in agriculture, such as unmanned aerial vehicles, driverless tractors, and other agriculture systems to provide smart farming, are some of the factors contributing to the region's growth.

Key players in the market:

Some of the key players profiled in the Agriculture Robots Market include: AG Eagle LLC, AG Leader Technology, Agco Corporation, Agribotix LLC, Agrobot, Auroras S.R.L., Autocopter Corp., Autonomous Solutions Inc., Blue River Technology, Boumatic Robotics, B.V., Clearpath Robotics, Deepfield Robotics, Deere & Company, DeLaval, GEA Group, Grownetics Inc., Harvest Automation, The International Business Machines Corporation (IBM), John Deere, Lely Industries, Naio Technologies, Precision Hawk, Topcon Positioning Systems, Inc and Trimble Inc.

Key Developments:

  • In June 2023, CNH Industrial unveils latest Ag tech & smart farming by leveraging great iron to develop and deploy technology that simplifies and enhances operations, provides insightful data, and utilizing alternative power solutions for sustainably advance farming.
  • In December 2022, Deere & Company formed joint venture with GUSS Automation, LLC, in Kingsburg, California. Multiple GUSS sprayers can be remotely supervised by a single operator, allowing growers to spray orchards and vineyards more quickly and consistently, using fewer resources and reducing costs by eliminating operator error and downtime.
  • In September 2022, Naio Technologies introduced the Orio, a new light electric and autonomous agriculture robot. This cutting-edge technology combines advanced robotics and artificial intelligence, providing farmers with a sustainable, serviceable, and intelligent solution to their agricultural needs.

Types Covered:

  • Automated Harvesting Robots
  • Driverless Tractors
  • Milking Robots
  • Unmanned Aerial Vehicles (Drones)
  • Other Types

Offerings Covered:

  • Hardware
  • Services
  • Software

Farming Environments Covered:

  • Indoor
  • Outdoor

Applications Covered:

  • Broad Acre
  • Dairy Farm Management
  • Aerial Data Collection
  • Inventory Management
  • Pruning Management
  • Weather Tracking and Forecasting
  • Other Applications

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026 and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Agriculture Robots Market, By Type

  • 5.1 Introduction
  • 5.2 Automated Harvesting Robots
  • 5.3 Driverless Tractors
  • 5.4 Milking Robots
  • 5.5 Unmanned Aerial Vehicles (Drones)
  • 5.6 Other Types

6 Global Agriculture Robots Market, By Offering

  • 6.1 Introduction
  • 6.2 Hardware
  • 6.3 Services
  • 6.4 Software

7 Global Agriculture Robots Market, By Farming Environment

  • 7.1 Introduction
  • 7.2 Indoor
  • 7.3 Outdoor

8 Global Agriculture Robots Market, By Application

  • 8.1 Introduction
  • 8.2 Broad Acre
    • 8.2.1 Fertilizing and Irrigation
    • 8.2.2 Field Mapping
    • 8.2.3 Intercultural Operations
    • 8.2.4 Picking and Harvesting
    • 8.2.5 Seeding and Planting
  • 8.3 Dairy Farm Management
    • 8.3.1 Milking
    • 8.3.2 Shepherding and Herding
  • 8.4 Aerial Data Collection
  • 8.5 Inventory Management
  • 8.6 Pruning Management
  • 8.7 Weather Tracking and Forecasting
  • 8.8 Other Applications

9 Global Agriculture Robots Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 AG Eagle LLC
  • 11.2 AG Leader Technology.
  • 11.3 Agco Corporation.
  • 11.4 Agribotix LLC
  • 11.5 Agrobot
  • 11.6 Auroras S.R.L.
  • 11.7 Autocopter Corp.
  • 11.8 Autonomous Solutions Inc.
  • 11.9 Blue River Technology
  • 11.10 Boumatic Robotics, B.V.
  • 11.11 Clearpath Robotics
  • 11.12 Deepfield Robotics
  • 11.13 Deere & Company
  • 11.14 DeLaval
  • 11.15 GEA Group
  • 11.16 Grownetics Inc.
  • 11.17 Harvest Automation
  • 11.18 The International Business Machines Corporation (IBM)
  • 11.19 John Deere
  • 11.20 Lely Industries
  • 11.21 Naio Technologies
  • 11.22 Precision Hawk
  • 11.23 Topcon Positioning Systems, Inc.
  • 11.24 Trimble Inc.
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦